Literature DB >> 32214363

Impact of left ventricular assist devices and heart transplants on acute myocardial infarction and heart failure mortality and readmission measures.

Eric J Brandt1, Joseph S Ross2,3,4, Jacqueline N Grady2, Tariq Ahmad1,2, Sumeet Pawar1, Susannah M Bernheim2, Nihar R Desai1,2.   

Abstract

BACKGROUND: Concern has been raised about consequences of including patients with left ventricular assist device (LVAD) or heart transplantation in readmission and mortality measures.
METHODS: We calculated unadjusted and hospital-specific 30-day risk-standardized mortality (RSMR) and readmission (RSRR) rates for all Medicare fee-for-service beneficiaries with a primary diagnosis of AMI or HF discharged between July 2010 and June 2013. Hospitals were compared before and after excluding LVAD and heart transplantation patients. LVAD indication was measured.
RESULTS: In the AMI mortality (n = 506,543) and readmission (n = 526,309) cohorts, 1,166 and 1,016 patients received an LVAD while 3 and 2 had a heart transplantation, respectively. In the HF mortality (n = 1,015,335) and readmission (n = 1,254,124) cohorts, 789 and 931 received an LVAD, while 212 and 202 received a heart transplantation, respectively. Less than 2% of hospitals had either ≥6 patients who received an LVAD or, independently, had ≥1 heart transplantation. The AMI mortality and readmission cohorts used 1.8% and 2.8% of LVADs for semi-permanent/permanent indications, versus 73.8% and 78.0% for HF patients, respectively. The rest were for temporary/external indications. In the AMI cohort, RSMR for hospitals without LVAD patients versus hospitals with ≥6 LVADs was 14.8% and 14.3%, and RSRR was 17.8% and 18.3%, respectively; the HF cohort RSMR was 11.9% and 9.7% and RSRR was 22.6% and 23.4%, respectively. In the AMI cohort, RSMR for hospitals without versus with heart transplantation patients was 14.7% and 13.9% and RSRR was 17.8% and 17.7%, respectively; in the HF cohort, RSMR was 11.9% and 11.0%, and RSRR was 22.6% and 22.6%, respectively. Estimations changed ≤0.1% after excluding LVAD or heart transplantation patients.
CONCLUSION: Hospitals caring for ≥6 patients with LVAD or ≥1 heart transplantation typically had a trend toward lower RSMRs but higher RSRRs. Rates were insignificantly changed when these patients were excluded. LVADs were primarily for acute-care in the AMI cohort and chronic support in the HF cohort. LVAD and heart transplantation patients are a distinct group with differential care requirements and outcomes, thus should be considered separately from the rest of the HF cohort.

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Mesh:

Year:  2020        PMID: 32214363      PMCID: PMC7098556          DOI: 10.1371/journal.pone.0230734

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

LVADs and heart transplantations represent two advanced therapies for management of AMI or HF. Devices have different indications depending on many patient level factors, including the estimated length of time needed to support the failing heart and etiology of disease, among others.[1] Some devices are delivered percutaneously for temporary hemodynamic support (i.e. Impella® and TandemHeart® devices at the time of the study), while others are implanted for intermediate to longer term support as destination therapy or bridge to transplant (i.e. HeartMate® II, at the time of our study). Use of LVADs has been increasing, particularly for their use as destination therapy,[2] but also for temporary mechanical support.[3] Whereas, heart transplantation is reserved for patients refractory to any other therapies,[4] the frequency of which has recently remained stable over time due to lack of available donors.[5, 6] Hospital 30-day readmission and mortality rates for acute myocardial infarction (AMI) and heart failure (HF) patients have been publicly reported as performance measures and incorporated into payment programs, such as the Hospital Readmission Reduction Program and the Hospital Value Based Purchasing program.[7, 8] Some have raised concerns about the appropriateness of including patients who receive LVAD devices in the measure cohorts due to the distinct clinical care and monitoring these patients require and their increased risk for some outcomes compared with other AMI and HF patients.[9] Differential consideration of this population has precedent; HF patients receiving LVAD or heart transplantation were found to have higher median payments and were excluded from 30-day episode of care heart failure payment measures for CMS.[10] Prior to 2016, publicly reported 30-day all-cause mortality and readmission measures used by the Centers for Medicare and Medicaid Services (CMS) for patients admitted with AMI or HF included patients who received a LVAD or heart transplantation during index hospital admission.[11] We sought to quantify the available data on LVAD and heart transplant on AMI and HF mortality and readmission measures and to determine the impact of excluding them from the measures. Exclusion of LVAD and heart transplant patients will inform whether these patients significantly alter hospital level mortality and readmissions, thus informing stakeholder and policymakers on the implications of having them included or excluded from future measures. Reporting on these findings is relevant to current practice because these data were utilized by CMS in 2016 to determine inclusion and exclusion rules for LVAD and heart transplant patients from 30-day mortality and readmission measures.

Materials and methods

Data

We used data from Medicare Fee-For-Service beneficiaries that were discharged from July 2010 through June 2013. CMS uses 3 years of data for calculation of the HF and AMI 30-day mortality and readmission measures. Study cohorts were defined consistent with CMS methods for public reporting based on ICD-9CM codes for discharges from hospitals for Medicare beneficiaries aged 65 years or older with a principal diagnosis of AMI or HF.[12-15] Within each measure cohort, hospitalizations were assigned to one of four cohorts: LVAD or non-LVAD recipients and heart transplant recipients and non-recipients. Inclusion in the cohorts was defined by ICD-9CM procedure codes 37.60, 37.62, 37.65. 37.66. and 37.68 for the LVAD cohort and 33.6 and 37.51 in the heart transplant cohort. ICD-9CM codes for external temporary devices are designated by 37.60, 37.62, 37.65, and 37.68 and for implanted semi-permanent or permanent devices by 37.66. This population did not include patients with total artificial hearts.

Outcome measures

The outcomes were 30-day, risk standardized mortality and readmission. Risk standardized measures seek to adjust for case mix differences between hospitals based on comorbidities and clinical status at the time of index admission. Additional analyses were performed to include cases up to one year prior to the index admission and after excluding the most common ICD-9CM code corresponding to external temporary LVADs.(37.68)

Statistical analysis

First, we calculated the frequency of patients who received an LVAD or heart transplant in each of the four measure cohorts. We then separately calculated the frequencies of the use of external temporary and implanted semi-permanent or permanent devices according to their corresponding ICD-9CM codes. ICD-9CM code 37.66 corresponds to LVADs for semi-permanent or permanent use, whereas 37.60, 37.62, 37.65. and 37.68 corresponds to those for external/transient use. Unadjusted 30-day mortality and 30-day readmission rates at the patient level were then determined for patients who did and did not receive a LVAD or heart transplantation during the index admission. We then estimated 30-day risk-standardized mortality rates (RSMR) and 30-day risk-standardized readmission rates (RSRR) for various groups at the hospital level. RSMR or RSRR take into account the hierarchical structure of the data to account for patient clustering within hospitals. Models include multiple covariates as well as hospital-specific random effects intercept.[14, 15] The RSMR or RSRR is calculated as a ratio of the number of “predicted” outcomes to the number of “expected” outcomes (death or readmission), multiplied by the national adjusted rate of the given outcome. For each hospital, the numerator of the ratio is the outcome within 30 days predicted on the bases of the hospital’s performance within its observed case mix and the denominator is the expected number of outcomes on the basis of the performance of the nation’s “average” hospital within this hospital’s case mix.[16] Hospitals were stratified into groups based on the number of LVAD or heart transplant patients within their AMI or HF mortality and readmission cohorts over the time period. For LVAD, hospitals were stratified as none, at least one, and 6 or more LVAD patients. For heart transplantation, hospitals were stratified as having none or at least one heart transplantation patient. For hospitals with at least one LVAD patient, 30-day RSMR and RSRR were re-estimated after excluding patients who received an LVAD during the index hospitalization to examine the impact of this exclusion on measure cohorts. Due to the low frequency of heart transplantation patients, 30-day RSMR and RSRR were not recalculated after excluding heart transplantations at hospitals with at least one heart transplant patient or recalculated after combining LVAD and heart transplant patients. In a final analysis of the HF cohort, estimates were repeated for patients who received an LVAD or heart transplantation during the index admission with addition of those who also received one in the year prior to admission. Observed readmission and mortality rates were reported as total number of patients and percent experiencing the clinical event. 30-day RSMR and RSRR are reported as percentiles (Median and interquartile range (IQR)) when comparing hospitals stratified by number of LVAD or heart transplantation patients. When analyses were repeated to exclude LVAD patients, 30-day median RSMR and RSRR are compared. Due to the small numbers of patients with LVAD and heart transplantation in the cohorts, the study was not powered to detect differences and thus no statistical tests of significance were used. All analyses were done with SAS version 9.2 (SAS Institute Inc., Cary, NC). This work was exempted by the Yale University Human Investigation Committee. We obtained a waiver from institutional review board review by Yale University. Consent was not obtained for this study and was waived by the institutional review board since this study did not include the primary collection of data and utilized previously collected data from CMS.

Results

LVAD and transplant index admissions

LVAD and heart transplantation patients represented a small portion of the overall measure cohort. The AMI mortality cohort (n = 506,543 patients) had 1,166 patients (0.23%) who received an LVAD during index admission and 3 patients (<0.01%) who received a heart transplantation. For the AMI readmission cohort (n = 526,309 patients), there were 1,016 patients (0.19%) who received an LVAD during index hospital admission and 3 patients (<0.01%) who received a heart transplantation. For the HF mortality cohort (n = 1,015,335 patients), there were 789 patients (0.08%) who received an LVAD during index admission and 212 patients (0.02%) who received a heart transplantation. For the HF readmission cohort (n = 1,254,124 patients) there were 931 patients (0.07%) who received an LVAD during index hospital admission and 220 patients (0.02%) who received a heart transplantation.

Type of LVAD used

The AMI readmission and mortality cohorts most frequently used ICD-9CM codes that represented indications for external temporary placed LVADs at 97.2% and 98.2%, respectively. The HF cohorts differed in frequency of ICD-9CM codes used. The HF readmissions and mortality cohorts most frequently used ICD-9CM codes that correspond to placement of implanted semi-permanent or permanent LVADs at 78.0% and 73.8%, respectively. See Table 1 for frequency of ICD-9CM code utilization for AMI and HF mortality and readmission cohorts.
Table 1

Frequency of LVAD procedure codes in the AMI and HF readmission cohorts.

A. Frequency of LVAD procedure codes in the AMI readmission cohorts.
ICD-9CM Procedure CodeFrequency (n)Rate (%)
External/temporary LVAD code(s)118697.2%
Implanted/Semi-permanent/ permanent LVAD code(s)282.8%
B. Frequency of LVAD procedure codes in the AMI mortality cohorts.
ICD-9CM Procedure CodeFrequency (n)Rate (%)
External/temporary LVAD code(s)114598.2%
Implanted/Semi-permanent/ permanent LVAD code(s)211.8%
C. Frequency of LVAD procedure codes in the HF readmission cohorts.
ICD-9CM Procedure CodeFrequency (n)Rate (%)
External/temporary LVADs20522.0%
Implanted/semi-permanent/ permanent LVAD code(s)72678.0%
D. Frequency of LVAD procedure codes in the HF mortality cohorts.
ICD-9CM Procedure CodeFrequency (n)Rate (%)
External/temporary LVAD code(s)20726.2%
Implanted/Semi-permanent/ permanent LVAD code(s)58273.8%

Patient level observed mortality and readmission rates

Patients admitted for AMI who received an LVAD had higher unadjusted mortality and readmission rates than those who did not receive an LVAD (mortality: 42.5% (95% confidence interval (CI), 39.7%, 45.3%) vs. 14.8% (95% CI, 14.7%, 14.9%); readmission: 23.0% (95% CI, 20.4%, 25.6%) vs 17.8% (95% CI, 17.7%, 17.9%)). There were too few heart transplantation patients to make definitive comparisons on mortality and readmission in the AMI cohort. Patients admitted for HF who received an LVAD had similar mortality, but higher readmission rates than those who did not receive an LVAD (mortality:10.8% (95% CI, 8.6%, 13.0%) vs. 11.9% (95% CI, 11.8%,12.0%); readmission 32.8% (95% CI, 29.8%, 35.8%) vs 22.7% (95% CI, 22.6%, 22.8%). Patients admitted for HF who received a heart transplant had lower mortality, but similar readmission rates than those who did not receive a heart transplant (mortality 5.7% (95% CI, 2.6%, 8.8%) vs 11.9% (95% CI, 11.8%, 12.0%); readmission 18.6% (95% CI, 13.5%, 23.7%) vs 22.7% (95% CI, 22.6%, 22.8%). See Table 2 for complete comparisons.
Table 2

Patient level observed readmission and mortality rates with and without LVAD/transplant during the index admission.

Rates are unadjusted.

Summary StatisticsAMI MortalityAMI ReadmissionHF MortalityHF Readmission
NRateNRateNRateNRate
Non-LVAD patients505,37714.8%525,29317.8%1,014,54611.9%1,253,19322.7%
    LVAD patients1,16642.5%1,01623.0%78910.8%93132.8%
Non-transplant patients506,54014.9%526,30617.8%1,015,12311.9%1,253,90422.7%
Transplant patients30.0%266.7%2125.7%22018.6%

Patient level observed readmission and mortality rates with and without LVAD/transplant during the index admission.

Rates are unadjusted.

Risk-standardized mortality and readmission rates

For both the AMI and HF mortality and readmission cohorts, the vast majority of hospitals did not have any patients who received an LVAD. Less than 2% of hospitals had six or more Medicare patients who received an LVAD. Similar findings were also observed for hospitals that did or did not have heart transplantation patients, with less than 2% of hospitals performing heart transplantation. For the AMI cohort, the median RSMRs for hospitals with 0, 1+, and 6+ LVAD patients were similar at 14.8% (IQR, 13.9, 15.8%), 14.4% (IQR, 13.4%, 15.6%), and 14.3% (IQR, 13.4%, 15.4%), respectively, while the median RSRRs were also similar at 17.8% (IQR, 17.2%, 18.5%), 18.0% (IQR, 17.1%, 18.9%), 18.3% (IQR, 17.4%, 18.9%), respectively. The median RSMRs for hospitals with no heart transplantations compared to at least one heart transplantation were 14.7% (IQR, 13.8%, 15.8%) and 13.9% (IQR, 12.4%, 15.1%), respectively, while the RSRRs were 17.8% (IQR, 17.2%, 18.6%) and 17.7% (IQR, 16.3%, 18.8%), respectively. See Table 3.
Table 3

Acute myocardial infarction cohort RSMRs and RSRRs.

A. RSMR and RSRR for hospitals with 0, 1+, and 6+ LVAD patients.
MortalityReadmission
Summary Statistics0 LVADs N = 21831+ LVADs N = 4326+ LVADs N = 340 LVADs N = 19891+ LVAD N = 3896+ LVADs N = 22
25th Percentile13.9%13.4%13.4%17.2%17.1%17.4%
Median14.8%14.4%14.3%17.8%18.0%18.3%
75th Percentile15.8%15.6%15.4%18.5%18.9%18.9%
B. RSMR and RSRR for hospitals without and with heart transplant patients.
MortalityReadmission
Summary Statistics0 transplant patients N = 26121+ transplant patients N = 30 transplant patients N = 23751+ transplant patients N = 3
25th Percentile13.8%12.4%17.2%16.3%
Median14.7%13.9%17.8%17.7%
75th Percentile15.8%15.1%18.6%18.8%
For the HF cohort, the median RSMRs for hospitals with 0, 1+, and 6+ LVAD patients were 11.9% (IQR, 11.0%, 13.0%), 11.2% (IQR, 10.0%, 12.4%), and 9.7% (IQR, 9.0%, 10.3%), respectively, while the median RSRRs were 22.6% (IQR, 21.7%, 23.7%), 22.6% (IQR, 21.3%, 24.2%), and 23.4% (IQR, 21.1%, 25.2%), respectively. The median RSMRs for hospitals with no heart transplantations compared to at least one heart transplantation were 11.9% (IQR, 11.0%, 13.0%) and 11.0% (IQR, 10.1%, 11.8%), respectively, while the median RSRRs were 22.6% (IQR, 21.7%, 23.7%), and 22.6% (IQR, 21.4%, 23.9%), respectively. See Table 4.
Table 4

Heart Failure cohort RSMRs and RSRRs.

Abbreviations: RSMR, risk-standardized mortality rate; RSRR, risk-standardized readmission rate.

A. RSMR and RSRR for hospitals with 0, 1+, and 6+ LVAD patients.
MortalityReadmission
Summary Statistics0 LVADs N = 38291+ LVADs N = 1466+ LVADs N = 110 LVADs N = 39501+ LVAD N = 1436+ LVADs N = 15
25th Percentile11.0%10.0%9.0%21.7%21.3%21.1%
Median11.9%11.2%9.7%22.6%22.6%23.4%
75th Percentile13.0%12.4%10.3%23.7%24.2%25.2%
B. RSMR and RSRR for hospitals with and without heart transplant patients.
MortalityReadmission
Summary Statistics0 transplant patients N = 39111+ transplant patients N = 640 transplant patients N = 40271+ transplant patients N = 66
25th Percentile11.0%10.1%21.7%21.4%
Median11.9%11.0%22.6%22.6%
75th Percentile13.0%11.8%23.7%23.9%

Heart Failure cohort RSMRs and RSRRs.

Abbreviations: RSMR, risk-standardized mortality rate; RSRR, risk-standardized readmission rate.

Risk-standardized mortality and readmission rates after exclusion of LVAD patients

After exclusion of LVAD patients from the AMI cohort, the median RSMR and RSRR for hospitals with 1+ LVAD were not significantly different, with differences between medians of ≤0.1%. The results were similar after exclusion of LVAD patients from the HF cohort, with ≤0.1% difference from the prior median RSMR and RSRR for hospitals with 1+ LVAD.

Evaluation of the heart failure cohort with LVAD and heart transplant patients combined

After combining patients who received a LVAD or heart transplantation during the index admission or at any time in the year prior to admission and excluding ICD-9CM code 37.68 in the HF cohort, these patients again account for a minority of the patient populations (0.10% in the mortality cohort; 0.10% in the readmission cohort). The mortality rate of these combined patients in the HF cohort was 6.9% (95% CI, 5.3%, 8.5%) compared to the non-LVAD and non-heart transplantation patient rate of 12.0% (95% CI, 11.9%, 12.1%). The median hospital-level RSMR did not differ when including or excluding patients with LVAD or heart transplantation at 11.9% (IQR,11.0%, 13.0%). The readmission rate for this combined cohort was 30.6% (95% CI, 28.0%, 33.2%) compared to the non-LVAD and non-heart transplantation patient rate of 22.7% (95% CI, 22.6%, 22.8%). The median hospital-level RSRR was also the same when including or excluding patients with LVAD or heart transplant at 22.6% (IQR, 21.7%, 23.7). See Table 5.
Table 5

RSMRs and RSRRs for heart failure in the original cohort and after excluding patients receiving an LVAD or transplant during index admission or in the year prior (among all HF mortality and readmission hospitals).

RSMRRSRR
Summary StatisticsOriginal Cohort N = 3975Cohort with LVAD/Transplant patients excluded N = 3975Original Cohort N = 4093Cohort with LVAD/Transplant patients excluded N = 4093
25th Percentile11.0%11.0%21.7%21.7%
Median11.9%11.9%22.6%22.6%
75th Percentile13.0%13.0%23.7%23.7%
When narrowed to hospitals with at least one LVAD or one transplant patient, RSMR for hospitals were unchanged with inclusion or exclusion of LVAD and heart transplant patients at 11.0% (IQR, 10.2%, 11.9%). The RSRR for this comparison was also similar at 22.6% (IQR, 21.4%, 24.0%) compared to 22.7% (IQR, 21.3%, 24.0%) when excluding such patients. See Table 6.
Table 6

RSMRs and RSRRs for heart failure in the original cohort and after excluding patients receiving an LVAD or transplant during index admission or in the year prior (among hospitals with at least one LVAD/transplant patients).

Abbreviations: RSMR, risk-standardized mortality rate; RSRR, risk-standardized readmission rate.

MortalityReadmission
Summary StatisticsOriginal Cohort N = 148Cohort with LVAD/Transplant patients excluded N = 148Original Cohort N = 176Cohort with LVAD/Transplant patients excluded N = 176
25th Percentile10.2%10.2%21.4%21.3%
Median11.0%11.0%22.6%22.7%
75th Percentile11.9%11.9%24.0%24.0%

RSMRs and RSRRs for heart failure in the original cohort and after excluding patients receiving an LVAD or transplant during index admission or in the year prior (among hospitals with at least one LVAD/transplant patients).

Abbreviations: RSMR, risk-standardized mortality rate; RSRR, risk-standardized readmission rate.

Discussion

In this study, risk standardized outcome rates for hospitals that cared for LVAD or heart transplant patients tended to have slightly lower mortality and slightly higher readmission rates compared to those that did not care for such patients; differences were mostly less than 1% and in many cases less than 0.5%. Hospitals caring for LVAD and transplant patients do not have substantially different risk-standardized outcome rates than other hospitals likely because LVAD and transplant patients represent a small proportion of hospitals’ overall patients and because much of the difference in observed outcome rates is explained by comorbidities and severity of illness in these patients that are captured in the risk-standardized models. Thus, exclusion of LVAD and heart transplant patients resulted in ≤0.1% change in results. Notably, indication for LVAD use in the AMI and HF populations greatly differed between these two populations. This suggests that LVAD and heart transplantation are employed in disparate clinical scenarios and should be considered separately. The data we present here were the primary considerations in the CMS decision to exclude LVAD and heart transplant patients from HF, but not AMI, mortality and readmission measures. In all of the cohorts evaluated, RSMR was always lower among hospitals that cared for LVAD or heart transplant patients. The fact that exclusion of such patients from the measure did not result in differences more than 0.1%, suggests that the observed differences are either a result of differential case mix or hospital care. The utilized model adjusts for case mix, thus making this less likely the cause for the differences and suggests centers capable of LVAD may have other factors that contribute to lower mortality aside from LVAD use. The results of the RSRR can help us better understand these differences. Across all cohorts, RSRR were slightly higher in the LVAD cohorts and ≤0.1% different in the heart transplant cohorts. Again, exclusion of LVAD and heart transplant patients changed these values by ≤0.1%. Thus, hospitals that cared for LVAD and heart transplant patients achieved lower RSMR despite slightly higher RSRR. Again, since our model corrects for case mix, this again supports there being differences in hospital level care required to achieve a lower mortality rate despite a population with a higher readmission rate. This differential overall is interpreted as better outcomes from hospitals that care for LVAD and heart transplant patients that are independent on the utilization of LVAD or heart transplantation. Part of these difference is likely due to these hospitals having other unmeasured factors that allow them to handle the complexity of care required for LVAD and heart transplant patients. These data were utilized by CMS to update mortality and readmission measures. Although the proportion of patients that received advanced therapies remains a small proportion and a minority of hospitals use these therapies, key considerations at the patient and hospital level were important for this decision. The clinically different scenarios and treatment goals that elicit use of LVAD and heart transplant in AMI as compared with HF plus their differential use in these populations and differences in unadjusted and risk adjusted mortality and readmission rates were all used by CMS for whether to continue including LVAD and heart transplant patients in reported measures. In 2016, CMS updated mortality and readmission measures to continue including LVAD and heart transplantation patients in AMI measures, but exclude LVAD and heart transplantation patients from HF measures.[17, 18] Measuring and publicly reporting hospital level performance measures requires diligence to ensure that these measures accurately reflect patient care at the hospital level. This includes carefully adjusting for disease severities and case heterogeneity between hospitals. As we continue to understand these contexts, measures should continue to be revised in response. Our study also has limitations. This study utilized a non-matched cohort and this limits interpretation of mortality and readmission rates between groups obtaining LVAD or heart transplantation. Also, our study was limited to Medicare patients only and did not include patients that have commercial insurance only. Results should be interpreted in this context. Additionally, since data were not available as to type of LVAD utilized, comparisons could not be made between types of LVAD (i.e. centrifugal vs. axial vs. percutaneously inserted devices). Furthermore, ICD-9CM code 37.66 also codes for right ventricular assist devices, thus there were likely some individuals with these devices included in the cohort. Although, RVADs are clinically less common and were likely rare events. This study also did not include the ICD-9CM code for total artificial hearts.(37.52) Notably, the data were from 2010–2013, which reflects outcomes from an older generation of LVAD devices. More recent data were not available to the authors for the purposes of this study. Furthermore, these data did not allow for a determination of whether the indication for use was semi-permanent or permanent, as in, whether devices were intended as bridge-to-transplant or destination therapy. Thus, evaluating our findings in the context of these clinical goals could not be discussed. In addition, more robust hospital level data were not available to compare hospital level factors that may have contributed to mortality or readmission between hospitals that were and were not utilizers of heart transplantation or LVAD.

Conclusion

In conclusion we report that hospitals caring for patients with LVAD or performed heart transplants typically had a trend toward lower RSMR but higher RSRR, which were not significantly changed when these patients were excluded. These differences are likely a result of hospital level differences in care that amount to better mortality result in hospitals capable of caring for LVAD and transplant patients. In 2016, CMS decided to exclude LVAD and transplant patients from HF mortality and readmission measures, due in part to these findings. Continued assessment of select patient populations can inform on the optimal populations to track for AMI and HF mortality and readmission measures. 28 Nov 2019 PONE-D-19-30581 Impact of left ventricular assist devices and heart transplant on acute myocardial infarction and heart failure mortality and readmission measures PLOS ONE Dear Dr. Desai, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we have decided that your manuscript does not meet our criteria for publication and must therefore be rejected. Specifically, there were concerns whether this study is novel or much additive to the knowledge in the field, while the conclusions were deemed vague and the clinical implication of these results questionable. I am sorry that we cannot be more positive on this occasion, but hope that you appreciate the reasons for this decision. Yours sincerely, Vakhtang Tchantchaleishvili Academic Editor PLOS ONE Reviewers' comments: Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The authors conduct an interesting study examining the rate of risk standardized mortality rates and readmission rates in an acute myocardial infarction and heart failure population with respect to heart failure and LVAD patients. Abstract comments: In results section would specify exact number, less than or equal to 0.2% does not make sense in this context. Same with less than or equal to 0.1%. How could the number of patients be less than or equal to? Shouldn’t this be a whole integer? Would refer to semi-permanent/permanent as the indication for the LVAD, either bridge-to-transplant (semi-permanent) or destination therapy (permanent) Introduction: Drawing similarities between devices like CF-LVADs and percutaneous support devices is rather heterogeneous. The indications of these devices and devices are far too different to conflate them. May be better to state actual devices (Impella for percutaneous support, Heartmate II and III for durable devices). Later in the intro paragraph, these are again conflated. When CF-LVAD or LVAD is written, most people would default to an assumption of a durable CF-VAD. The authors should clarify the distinction between percutaneous and durable devices. Materials and methods: The inclusion of CF-LVAD and percutaneous support devices needs to be acknowledged in the limitations since they have different indications. This is partially acknowledged in the limitations section. Durable CF-LVAD patients and percutaneous support patients are not exactly similar. For the heart transplant patients, these are patients who were transplanted at this index hospitalization for heart failure? Discussion: Page 17, “supports their being difference” should be corrected to there General comments: Can the authors clarify if these were pulsatile flow LVADs or continuous-flow? Given the contemporary cohort, it would be assumed that the LVAD population is continuous flow. Given that, the authors should replace LVAD at each instance with continuous-flow LVAD or CF-LVAD. Did this population include patients who had RVAD devices placed? Were any total artificial hearts included in the cohort? Limitation: by including only medicare patients a significant number of patients are not included in the cohort some recent studies of 200 patients cite a mean age of 59. CF-LVAD patients have both a destination therapy and bridge-to-transplant indication. Did this study include both patient populations? Reviewer #3: In this retrospective analysis of Medicare free-for-service beneficiaries with primary diagnosis of acute myocardial infarction (AMI) or heart failure (HF), Brandt et al presented the effects of including LVAD and heart transplant (HT) patients on 30-day readmission and mortality measures. The authors found the including or excluding these patients of patients does not significantly impact these measures though there were more readmission and less mortality among patients implanted an LVAD or underwent HT. The authors then concluded that LVAD and HT patients are still a distinct group with different care requirements and outcomes and should be analyzed separately from other groups of patients with HF/AMI. The manuscript is well written and methods are appropriate. However, these findings are largely expected and not novel. The clinical implication is questionable as the number of patients with HT or LVAD is very small relative to the large group of patients with chronic HF or AMI. Reviewer #4: The authors of “Impact of left ventricular assist devices and heart transplant on acute myocardial infarction and heart failure mortality and readmission measures” speak to whether or not exclusion of LVAD and heart transplant patients significantly change the outcomes of CMS public reporting readmission and mortality for acute MI and heart failure patients. The statistics are done rigorously, and the manuscript is well-written in easy to understand English. The authors utilized modeling similar to past publications to calculate the risk standardized readmission rate and mortality rate for these hospitals, and ultimately compared whether or not these values changed when LVAD and HT patients were excluded from the cohort. In the abstract, the authors state that their data supports that HT and LVAD patients should be considered separately from the all-comer HF patient population, although the fact that the exclusions do not change the RSMR and RSRR does not support that conclusion. Furthermore, the data show a similar lack of change in RSMR and RSRR in the AMI, which the authors do not discuss. In the discussion of the paper, the authors state that there is a dichotomy in AMI patients vs HF patients, in that the indication for LVAD shows that the AMI patients had external LVADs placed, vs HF patients receiving durable LVAD options, and that this likely drove the decision for the CMS to exclude HT and LVAD patients from their HF data, but not AMI data. In the discussion the authors do not really state whether or not they believe that HT and LVAD patients should be excluded from the HF and AMI groups, they simply discuss what the CMS policy reflects. Overall this discussion is confusing because the abstract and discussion of the paper do not deliver a consistent message, it would be helpful for the reader if the authors discussed why they believe their findings do/do not support the CMS policy decisions. Furthermore, it is hard to believe that the exclusion of the LVAD patients and HT patients would affect the RSMR and RSRR values for the entire cohort, these exclusions make up ~1,000/1,000,000 of the HF patients (1/1000th of the cohort) and 1/500th of the AMI group. This is not discussed by the authors, it seems as though it is statistically impossible for the exclusion of such a small group to meaningfully shift the entire cohort’s mortality/morbidity. Some points for consideration -What was the purpose of stratifying LVADs into three groups and HT in to two groups? A discussion of this would be helpful to the reader - Table 3B has incredibly small sample size for hospitals with more than 1 transplant. All data regarding heart transplant on AMI patients is based on an incredibly small sample size. It is unlikely that these data hold up across all hospitals in the united states or abroad considering that there are only three hospitals that are doing transplant in this cohort. Also, the clinical track to receiving a transplant in the setting of an acute MI is not entirely clear. - In table 3a, 3b, 4a and 4b Why are the N values for hospitals with hospitals with and without HT/LVAD patients different in terms of mortality and readmissions? Shouldn’t the N value for these hospitals be equal in terms of hospitals that had heart failure patients, that were considered for readmission/mortality data? Were hospitals that have no deaths and no readmissions excluded from the reported N? For example, there is a discrepancy of over 100 hospitals between mortality and readmission hospitals with no transplants. -The authors state that “Hospitals caring for >6 patients with LVAD or >1 HT had lower RSMRs but higher RSRRs on average.” It would be helpful to know what confidence intervals there are for this methodology. Most of the differences are less than 1% (one is equal, in fact), are we confident the modeling can say that these are truly different? -It is worth adding a discussion regarding the shortcomings of using the database from 2010 to 2013. This data is being derived from the previous generation of LVADs (at least from a durable LVAD perspective). The authors should acknowledge that all of the data presented in this paper regarding devices are not commonly being used at this time (Impellas have been redesigned, Heartmate 3, and HVAD have been approved since the study period). Overall, it is not clear why the authors chose to use the CMS data from 2010-2013, when they feasibly could have used 2013-2016 (up until the date that the CMS changed their reporting guidelines). It would be helpful to know why the authors chose these dates; at face value it does not seem like these are the most recent data available to the authors. The fact that all most LVADs that are used today are a newer generation from what is being studied in this paper should be discussed by the authors. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] - - - - - For journal use only: PONEDEC3 27 Dec 2019 Please note that this information can also be found in the attached file uploaded for the submission. ONE-D-19-30581: Impact of left ventricular assist devices and heart transplant on acute myocardial infarction and heart failure mortality and readmission measures Editor’s comments: Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we have decided that your manuscript does not meet our criteria for publication and must therefore be rejected. Specifically, there were concerns whether this study is novel or much additive to the knowledge in the field, while the conclusions were deemed vague and the clinical implication of these results questionable. I am sorry that we cannot be more positive on this occasion, but hope that you appreciate the reasons for this decision. Response: We thank the editor for his consideration of our paper and that the reviewers were provided a timely response. However, we were confused as to why the decision was to reject. Our manuscript clearly meets the criteria for publication in PLOS ONE as outlined on the journal website. Most importantly we disagree with the assertion that the study is not novel or does not add to the field. This study has not been previously published nor the hypothesis tested previously. While the findings may be “expected,” our understanding was that part of the purpose of PLOS ONE was to publish research that is scientifically valid and meets methodological and ethical standards – not perceived significance. That said, the subject of our study, the impact of inclusion of LVAD and heart transplant patients on hospital measures of healthcare quality, has been a concern for key stakeholders and therefore represents an important and significant topic. We feel our study is both important and significant since they were the primary data that CMS used to make the decision of including or excluding these individuals from mortality and readmission measures. These measures remain the focus of national debate and continue to be key measures for hospital quality. Lastly, as had been pointed out by reviewers, our study was performed with high technical standards and are presented clearly. Therefore, since we feel our article meet all criteria and represent important findings we request an appeal for the decision to reject this manuscript. Thank you for your reconsideration. Reviewers' comments: Reviewer #1: The authors conduct an interesting study examining the rate of risk standardized mortality rates and readmission rates in an acute myocardial infarction and heart failure population with respect to heart failure and LVAD patients. 1. Abstract comments: In results section would specify exact number, less than or equal to 0.2% does not make sense in this context. Same with less than or equal to 0.1%. How could the number of patients be less than or equal to? Shouldn’t this be a whole integer? Would refer to semi-permanent/permanent as the indication for the LVAD, either bridge-to-transplant (semi-permanent) or destination therapy (permanent) Response: Thank you for these suggestions. We agree that it will help readers have a better understanding of the size of the cohort, as well as the number with devices, by providing this information in the abstract. In addition, we have considered the change in phrasing from semi-permanent/permanent to bridge-to-transplant or destination therapy. However, after discussion among the team, we respectively feel it is best to utilize the original terms. This will help to prevent misunderstanding regarding the intentions of the LVAD, since this cannot be necessarily construed from the indication. Nevertheless, in response to this comment, we have updated the abstract text to include the size of the cohort and number of devices in the abstract as follows (page 2): “In the AMI mortality (n=506,543) and readmission (n=526,309) cohorts, 1,166 and 1,016 patients received an LVAD while 3 and 2 received HT, respectively. In the HF mortality (n=1,015,335) and readmission (n=1,254,124) cohorts, 789 and 931 received and LVAD, while 212 and 202 received HT, respectively.” 2. Introduction: Drawing similarities between devices like CF-LVADs and percutaneous support devices is rather heterogeneous. The indications of these devices and devices are far too different to conflate them. May be better to state actual devices (Impella for percutaneous support, Heartmate II and III for durable devices). Later in the intro paragraph, these are again conflated. When CF-LVAD or LVAD is written, most people would default to an assumption of a durable CF-VAD. The authors should clarify the distinction between percutaneous and durable devices. Response: We agree with the reviewer that CF-LVADs and percutaneous support devices often have different indications. Percutaneous devices are much more likely to be used in acute care scenarios such as AMI whereas CF-LVADs are better suited for chronic scenarios such as chronic HF. Ideally we would have known the exact devices used in each scenario. However, these data were not available within the dataset since the administrative codes were not granular enough to identify a specific device. However, this limitation does not detract from the primary purpose of this study, which was to understand the impact of including patient that receive heart transplant or any LVAD type devices on mortality and readmission measures. Furthermore, we did use available data on device indication to guide interpretation of our analyses. The fact that LVADs were primarily indicated for acute care in AMI but for chronic care in HF suggests that, as this reviewer hints, percutaneous devices are more often employed in the former verse the latter scenario. We include these points within the discussion, which also responds to concerns from Reviewer #4 (page 16): “Notably, indication for LVAD use in the AMI and HF populations greatly differed between these two populations. This suggests that LVAD and HT are employed in disparate clinical scenarios and should be considered separately;” We have also recognized the specific limitation this reviewer points out (page 18): “Additionally, since data were not available as to type of LVAD utilized, comparisons could not be made between types of LVAD (i.e. centrifugal vs. axial vs. percutaneously inserted devices).” 3. Materials and methods: The inclusion of CF-LVAD and percutaneous support devices needs to be acknowledged in the limitations since they have different indications. This is partially acknowledged in the limitations section. Durable CF-LVAD patients and percutaneous support patients are not exactly similar. Response: The reviewer is correct in pointing out that these devices have distinct indications. As mentioned in the above response, we would ideally be able to separate out the indication and determine which exact device was implanted and in which exact clinical scenario. These data do not allow for this type of evaluation. As such we have expanded our limitations to address this issue. Please note that at other points in the text we are sure to point out the importance in type of LVAD and how that was important for deciding which devices to include or exclude in measures. We have update the text as follow, which also helps to address concerns from response #1 (page 18): “Furthermore, these data did not allow for a determination of whether the indication for use was semi-permanent or permanent, as in, whether devices were intended as bridge-to-transplant or destination therapy. Thus, evaluating our findings in the context of these clinical goals could not be discussed.” 4. For the heart transplant patients, these are patients who were transplanted at this index hospitalization for heart failure? Response: Yes, that is correct, patients in these respective cohorts received devices or transplant during the index hospitalization. 5. Discussion: Page 17, “supports their being difference” should be corrected to there Response: This has been correct in the text to read as follows (page 17): “…supports there being differences…”. 6. General comments: Can the authors clarify if these were pulsatile flow LVADs or continuous-flow? Given the contemporary cohort, it would be assumed that the LVAD population is continuous flow. Given that, the authors should replace LVAD at each instance with continuous-flow LVAD or CF-LVAD. Response: These data do not provide data on the level of understanding types of LVADs that were implanted beyond the indication. Given that the type of LVAD implanted is not adjudicated from these data we feel it would be inaccurate to make this assumption that they were all continuous flow LVADs. We have pointed this out in the manuscript with the following sentence of the limitations (page 18): “Additionally, since data were not available as to type of LVAD utilized, comparisons could not be made between types of LVAD (i.e. centrifugal vs. axial vs. percutaneously inserted devices).” 7. Did this population include patients who had RVAD devices placed? Were any total artificial hearts included in the cohort? Response part 1: The ICD-9CM code specifying RVAD fall under 37.66, which were included in our cohort definition. We expect based on clinical practice that these were a minority of the population sampled. To reflect this limitation, we have included a statement in the limitations (page 18): “Furthermore, ICD-9CM code 37.66 also includes right ventricular assist devices, thus there were likely some individuals with these devices included in the cohort. Although, these are clinically less common and were likely rare events.” Response part 2: This population did not include patients with total artificial hearts placed. Text was added to the methods and limitations to clarify this point (page 5): “This population did not include patients with total artificial hearts.” See also (page 18): “This study also did not include the ICD-9CM code for total artificial hearts (37.52).” 8. Limitation: by including only Medicare patients a significant number of patients are not included in the cohort some recent studies of 200 patients cite a mean age of 59. CF-LVAD patients have both a destination therapy and bridge-to-transplant indication. Did this study include both patient populations? Response: The reviewer is correct that our study was limited to Medicare patients, but not individuals with commercial or other types of insurance. As such, the reviewer is correct that if the mean age of LVAD implantation is below the typical Medicare age then majority of the patients for which this applies were not included in the study. However, because the purpose of our study was to understand the impact of including these patients on the measures used by Medicare for purposes of characterizing hospital quality of care (which are limited to patients enrolled in fee-for-service Medicare), there would be no reason to include patients who did not have Medicare insurance. Nevertheless, to be responsive to the Reviewer’s concern, we have updated our manuscript to reflect that this study was limited to only include Medicare patients and therefore was not inclusive of the total population (page 18): “Also, our study was limited to Medicare patients only and did not include patients that have commercial insurance only. Results should be interpreted in this context.” Reviewer #3: 1. In this retrospective analysis of Medicare free-for-service beneficiaries with primary diagnosis of acute myocardial infarction (AMI) or heart failure (HF), Brandt et al presented the effects of including LVAD and heart transplant (HT) patients on 30-day readmission and mortality measures. The authors found the including or excluding these patients of patients does not significantly impact these measures though there were more readmission and less mortality among patients implanted an LVAD or underwent HT. The authors then concluded that LVAD and HT patients are still a distinct group with different care requirements and outcomes and should be analyzed separately from other groups of patients with HF/AMI. The manuscript is well written and methods are appropriate. However, these findings are largely expected and not novel. The clinical implication is questionable as the number of patients with HT or LVAD is very small relative to the large group of patients with chronic HF or AMI. Response: We thank the reviewer for his complement that our manuscript is well written with appropriate methods. However, we disagree with the assertion that the findings are not novel and lack implications. First, these findings have not been previously published in the literature and, as such, are novel. Second, this study has direct policy relevance, which in turn gives it great clinical relevance, since it was used by CMS to decide on inclusion and exclusion criteria for the mortality and readmission measures used by the agency to characterize hospital quality of care. Adding these findings to the literature provides scientific merit to the decisions as well as adds the scientific discourse on how these measures are determined. Reviewer #4: 1. The authors of “Impact of left ventricular assist devices and heart transplant on acute myocardial infarction and heart failure mortality and readmission measures” speak to whether or not exclusion of LVAD and heart transplant patients significantly change the outcomes of CMS public reporting readmission and mortality for acute MI and heart failure patients. The statistics are done rigorously, and the manuscript is well-written in easy to understand English. Response: We thanks this reviewer for the complement 2. The authors utilized modeling similar to past publications to calculate the risk standardized readmission rate and mortality rate for these hospitals, and ultimately compared whether or not these values changed when LVAD and HT patients were excluded from the cohort. In the abstract, the authors state that their data supports that HT and LVAD patients should be considered separately from the all-comer HF patient population, although the fact that the exclusions do not change the RSMR and RSRR does not support that conclusion. Furthermore, the data show a similar lack of change in RSMR and RSRR in the AMI, which the authors do not discuss. In the discussion of the paper, the authors state that there is a dichotomy in AMI patients vs HF patients, in that the indication for LVAD shows that the AMI patients had external LVADs placed, vs HF patients receiving durable LVAD options, and that this likely drove the decision for the CMS to exclude HT and LVAD patients from their HF data, but not AMI data. In the discussion the authors do not really state whether or not they believe that HT and LVAD patients should be excluded from the HF and AMI groups, they simply discuss what the CMS policy reflects. Overall this discussion is confusing because the abstract and discussion of the paper do not deliver a consistent message, it would be helpful for the reader if the authors discussed why they believe their findings do/do not support the CMS policy decisions. Response: We appreciate the Reviewer’s comment that our abstract and discussion text do not align in tone. We have looked closely at both sections of our manuscript and revised our language to ensure that it is clear that CMS is the ultimate decision maker of how to utilize the data for policy, as well as our own interpretations of the research, independent of CMS. As such, we have updated the discussion to parallel the tone of the abstract while still emphasizing CMS as the primary decision maker for defining inclusion criteria for mortality and readmission measures. We have updated the text as follows, which also touches on concerns from Reviewer #1 (page 16): “Notably, indication for LVAD use in the AMI and HF populations greatly differed between these two populations. This suggests that LVAD and HT are employed in disparate clinical scenarios and should be considered separately. The data we present here were the primary considerations in the CMS decision to exclude LVAD and heart transplant patients from HF, but not AMI, mortality and readmission measures.” 3. Furthermore, it is hard to believe that the exclusion of the LVAD patients and HT patients would affect the RSMR and RSRR values for the entire cohort, these exclusions make up ~1,000/1,000,000 of the HF patients (1/1000th of the cohort) and 1/500th of the AMI group. This is not discussed by the authors, it seems as though it is statistically impossible for the exclusion of such a small group to meaningfully shift the entire cohort’s mortality/morbidity. Response: In regards to this observation, many stakeholders had noted concerns that despite making up a small portion of the population that they could have significant implications for individual hospitals. We did confirm that they are a small portion of the population but did not confirm concerns that they significantly alter performance. Notably we did bring attention to the small proportion of patients with LVAD and HT that make up the cohort. We were sure to point out that these patients make up a small portion of the cohort throughout the manuscript. Some points for consideration: 4. What was the purpose of stratifying LVADs into three groups and HT in to two groups? A discussion of this would be helpful to the reader Response: The purpose of the stratification scheme for LVADs was to see whether higher volume centers would be more affected. Due to the number of transplant being low we could only do two groups and not three. 5. Table 3B has incredibly small sample size for hospitals with more than 1 transplant. All data regarding heart transplant on AMI patients is based on an incredibly small sample size. It is unlikely that these data hold up across all hospitals in the united states or abroad considering that there are only three hospitals that are doing transplant in this cohort. Also, the clinical track to receiving a transplant in the setting of an acute MI is not entirely clear. Response: The reviewer is correct in pointing out that heart transplant as a result from AMI hospitalization is a rare event. A priori this could have been predicted. However, these data are important, despite the small counts, for considering populations to be included or excluded from admission and readmission measures. As mentioned above in response #3, this was important to for stakeholders to understand whether these patients alter performance measures. 6. In table 3a, 3b, 4a and 4b Why are the N values for hospitals with hospitals with and without HT/LVAD patients different in terms of mortality and readmissions? Shouldn’t the N value for these hospitals be equal in terms of hospitals that had heart failure patients, that were considered for readmission/mortality data? Were hospitals that have no deaths and no readmissions excluded from the reported N? For example, there is a discrepancy of over 100 hospitals between mortality and readmission hospitals with no transplants. Response: The CMS inclusion and exclusion criteria used to define the mortality and readmission measures for the cohorts have differences. This results in slightly different values for hospitals that are included in the individual cohorts. Hospitals that had no patients meeting criteria were not included in the study cohorts. However, if a hospital had patients meeting criteria but these patients had no readmission or deaths then these were included. 7. The authors state that “Hospitals caring for >6 patients with LVAD or >1 HT had lower RSMRs but higher RSRRs on average.” It would be helpful to know what confidence intervals there are for this methodology. Most of the differences are less than 1% (one is equal, in fact), are we confident the modeling can say that these are truly different? Response: The term on average could be construed as a statistical term. However, in this context we are referring to non-statistical comparisons of medians. As such we have corrected the text for the readers to understand that in these conclusions. We have updated the text remove the term “on average” and it now reads as follows in 2 locations (page 3): “Hospitals caring for >6 patients with LVAD or >1 HT typically had lower RSMRs but higher RSRRs.” (page 19): “In conclusion we report that hospitals caring for patients with LVAD or performed heart transplants typically had lower RSMR but higher RSRR, which were not significantly changed when these patients were excluded.” 8. It is worth adding a discussion regarding the shortcomings of using the database from 2010 to 2013. This data is being derived from the previous generation of LVADs (at least from a durable LVAD perspective). The authors should acknowledge that all of the data presented in this paper regarding devices are not commonly being used at this time (Impellas have been redesigned, Heartmate 3, and HVAD have been approved since the study period). Overall, it is not clear why the authors chose to use the CMS data from 2010-2013, when they feasibly could have used 2013-2016 (up until the date that the CMS changed their reporting guidelines). It would be helpful to know why the authors chose these dates; at face value it does not seem like these are the most recent data available to the authors. The fact that all most LVADs that are used today are a newer generation from what is being studied in this paper should be discussed by the authors. Response part 2: It is noted that pointing out that newer devices may have differing outcomes. It is also worth noting that this is an important piece to continued efforts to study mortality and readmissions in relation to transplant and LVADs. The text has been updated to include the following text (page 18): “Notably, the data were from 2010-2013, which reflects outcomes from an older generation of LVAD devices. More recent data were not available to the authors for the purposes of this study.” Submitted filename: PLOS ONE Reviewer Responses.docx Click here for additional data file. 5 Feb 2020 PONE-D-19-30581R1 Impact of left ventricular assist devices and heart transplant on acute myocardial infarction and heart failure mortality and readmission measures PLOS ONE Dear Dr. Desai, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. This manuscript has been evaluated by two academic editors and two external reviewers (different from the initial reviewers). We are in agreement with the Reviewer's request for major revisions based on the feedback received. We would appreciate receiving your revised manuscript by Mar 21 2020 11:59PM. 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Competing interests can arise in relationship to an organization or another person. Please follow this link to our website for more details on competing interests: http://journals.plos.org/plosone/s/competing-interests Additional Editor Comments (if provided): The authors intended to assess the impact of LVAD and HTx, a subgroup, on some outcome measures. These surgical cases were a small minority and stat. insig changed those rates. In epidemiology, it is always better to enhance homogeneity to reduce selection bias. So it was not a bad idea to exclude those cases. But since their existence did not affect the rates significantly by statistical testing, why not just keep them to reflect the reality in clinical scenario? The authors needed to clarify the purpose of those outcome measures. Is there any benefit to exclude LVAD and HTx, such as for cost management, admin, insurance, etc? Please revise to reflect the motivation of the manuscript. LVAD and HTx, as a small minority, did not affect the outcome measures. Their non-exclusion did not violate homogeneity but also reflect the diversity of clinical reality. The authors need to provide a stronger reason to exclude them [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #5: (No Response) Reviewer #6: (No Response) ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #5: Partly Reviewer #6: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #5: Yes Reviewer #6: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #5: Yes Reviewer #6: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #5: Yes Reviewer #6: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #5: PONE-D-19-30581_R1 The authors of “Impact of left ventricular assist devices and heart transplantation on acute myocardial infarction and heart failure mortality and readmission measures” sought to understand the frequency of deaths and readmissions in patients supported on advanced heart failure therapies as a component of Medicare population-based metrics to determine if inclusion of such patients unduly affects the Medicare-based assessment of those hospitals performance with respect to those measures. Certainly, these data are important to have available for consideration, but the way in which some of the data and conclusions are presented could be misleading and in the interest of disseminating this information, authors should seek to clarify this for potential authors who would cite these data. Major Comments: 1. What was the authors’ intent with including temporary/external? LVADs? I would suggest that the authors completely exclude external or temporary LVADs (and why do the authors indicate in the limitations that they could not distinguish between percutaneous LVADs vs. durable VADs?). The authors ultimately argue that LVAD patients should be considered separately, but I am unsure if patients supported on temporary LVADs should be excluded given the controversy of using these devices (i.e. Impella) routinely. Protected PCI may be another indication during AMI admission for use of an “LVAD” which further complicates the data. Additionally, the controversy with respect to the HRRP primarily surrounds the HF admission indication and the observation of the disparate mortality and readmission data (as the authors also observed) perhaps unduly affecting high quality centers. I believe these data are of much more relevance wherein the proportion of durable LVADs is much higher. 2. However if the authors cannot readily separate temporary and durable device and so choose to proceed with inclusion of temporary LVADS, in the first methods paragraph, I would provide examples of the external or temporary LVAD versus semi-permanent or permanent LVADs for clarity for the reader to emphasize throughout the idea that markedly different LVAD devices with markedly different indications are lumped into his cohort. 3. Previous reviewers have criticized the manuscript for the statistical inability to generate differences between cohorts after removing LVAD and transplant patients. While I agree with the essence of these comments, I disagree about the resultant lack of importance of the manuscript. The manuscript, as I interpret it, is designed to provide a neutral assessment of the data in the CMS calculations. In that regard, the authors have done well in not applying a statistical test of significance. However, I would clarify that objective within the introduction and discussion. For example, rather than stating in the introduction that they “sought to examine the impact of …” I would suggest that the authors indicate that they sought to quantify the available data on LVAD and HTx mortality and readmissions as it relates to the CMS decision. Similarly, in the limitations, in the limitations, I would suggest that the authors indicate that due to very small numbers of patients in the cohorts of interest in a large administrative database, the study was not powered to detect differences and thus no statistical tests of significance were used. Minor comment: 1. In the 3rd to last sentence of the first Methods paragraph, I believe the authors mean HTx cohort rather than HF cohort. Reviewer #6: Brandt et al. have evaluated mortality and readmission measures of acute myocardial infarction and heart failure patients while assessing the impact of including patients receiving LVAD and heart transplants on these measures. The authors provide a revision of their manuscript along with responses to prior reviewer comments. The manuscript is well-written and presented in an intelligent fashion. The statistical methodology appears adequate although further description of the same in the methods section would be ideal. The authors have addressed most of the concerns raised in a reasonable manner. Most importantly it is apparent that they are limited by the data available to them with respect to providing granularity on this topic. Although I am inclined towards the author’s suggestion that these are important findings given their importance in policy making, I do have a few comments for the authors’ consideration, Firstly, the choice of using data from 2010 to 2013 is surprising. The authors have addressed this concern in response to prior comments citing availability of data as an issue. However, as previously pointed out most devices part of this study are no longer in use and as such do not reflect current clinical practice. Given the authors primary objective was to provide basis for the CMS decision to exclude LVAD and heart transplant patients, I would urge them to include data up until 2016 as suggested earlier. I am not entirely convinced with the conclusion that “Hospitals caring for >6 patients with LVAD or >1 HT typically had lower RSMRs but higher RSRRs” given the differences are less than 1% and the small cohort sizes (LVAD and heart transplant groups). Although the authors suggest that they are referring to this in a non-statistical manner, I would suggest saying “Hospitals caring for >6 patients with LVAD or >1 HT typically had a trend toward lower RSMRs but higher RSRRs”. The authors acknowledge that their findings are expected and reiterate the importance of the findings to stake holders and decision makers. However, given the limitations of the database, the unavailability of data on types of LVAD, indications for use and the small number of patients receiving LVAD and heart transplant, it is hard to establish clinical precedence for this manuscript. Having said that, I would certainly urge the editor to consider this for publication provided the authors are able to add data up until 2016 when CMS made the policy change to provide more comprehensive findings representing that decision. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #5: No Reviewer #6: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step. 5 Mar 2020 Additional Editor Comments (if provided): 1. The authors intended to assess the impact of LVAD and HTx, a subgroup, on some outcome measures. These surgical cases were a small minority and stat. insig changed those rates. In epidemiology, it is always better to enhance homogeneity to reduce selection bias. So it was not a bad idea to exclude those cases. But since their existence did not affect the rates significantly by statistical testing, why not just keep them to reflect the reality in clinical scenario? The authors needed to clarify the purpose of those outcome measures. Is there any benefit to exclude LVAD and HTx, such as for cost management, admin, insurance, etc? Please revise to reflect the motivation of the manuscript. LVAD and HTx, as a small minority, did not affect the outcome measures. Their non-exclusion did not violate homogeneity but also reflect the diversity of clinical reality. The authors need to provide a stronger reason to exclude them Response: We appreciate the Editor’s questioning whether it was appropriate to exclude this small minority of patients, since inclusion in the models did not materially affect the hospital risk-standardized rates. The portion of the cohort that had LVAD and HTx were predictably small. However, our a priori methodology decision to exclude them and repeat the analysis was essential to addressing and being responsive to stakeholder and policymaker concerns, Providing reassurance that managing these patients does not lead to changes in hospital mortality and readmission since these measures could alter reimbursement and potentially patient care. We have made this argument more clear by addition to the introduction (page 5): “Exclusion of LVAD and heart transplant patients will inform whether these patients significantly alter hospital level mortality and readmissions, thus informing stakeholder and policymakers on the implications of having them included or excluded from future measures.” Comments to the Author Reviewer #5: PONE-D-19-30581_R1 The authors of “Impact of left ventricular assist devices and heart transplantation on acute myocardial infarction and heart failure mortality and readmission measures” sought to understand the frequency of deaths and readmissions in patients supported on advanced heart failure therapies as a component of Medicare population-based metrics to determine if inclusion of such patients unduly affects the Medicare-based assessment of those hospitals performance with respect to those measures. Certainly, these data are important to have available for consideration, but the way in which some of the data and conclusions are presented could be misleading and in the interest of disseminating this information, authors should seek to clarify this for potential authors who would cite these data. Major Comments: 1. What was the authors’ intent with including temporary/external LVADs? I would suggest that the authors completely exclude external or temporary LVADs (and why do the authors indicate in the limitations that they could not distinguish between percutaneous LVADs vs. durable VADs?). The authors ultimately argue that LVAD patients should be considered separately, but I am unsure if patients supported on temporary LVADs should be excluded given the controversy of using these devices (i.e. Impella) routinely. Protected PCI may be another indication during AMI admission for use of an “LVAD” which further complicates the data. Additionally, the controversy with respect to the HRRP primarily surrounds the HF admission indication and the observation of the disparate mortality and readmission data (as the authors also observed) perhaps unduly affecting high quality centers. I believe these data are of much more relevance wherein the proportion of durable LVADs is much higher. Response: We thank the reviewer for the thoughtful discourse about our work. The reviewer recognizes the importance of our manuscript, that the populations for which LVADs are used have different indications for use as well as different clinical scenarios. This is precisely why our data were important for CMS and why temporary/external LVADs were important to include. We found that LVADs used in the AMI cohort more often had indications for temporary rather than chronic support needs. The data do not inform the exact type of LVAD nor whether the devices were semi-permanent or permanent. This limitation of the data cannot be overcome, nor are there additional data available that would refine our ability to differentiate the exact device type. Excluding temporary/external LVADs from the data would significantly alter the relevance of our findings, a portion of which were to inform on decisions to include or exclude LVAD patients from the AMI cohort. The majority of the devices in the HF cohort were implanted device. Even when including patients with external/temporary LVADs, which would bias us away from our current conclusions, the data still support excluding these patients. Thus, we expect our findings are more robust by continuing to include these patients. 2. However if the authors cannot readily separate temporary and durable device and so choose to proceed with inclusion of temporary LVADS, in the first methods paragraph, I would provide examples of the external or temporary LVAD versus semi-permanent or permanent LVADs for clarity for the reader to emphasize throughout the idea that markedly different LVAD devices with markedly different indications are lumped into his cohort. Response: As discussed above, we cannot readily separate these devices. We have edited the text to provide examples of devices available at the time of the study. Page 4: “Some devices are delivered percutaneously for temporary hemodynamic support (i.e. Impella® and TandemHeart® devices at the time of the study), while others are implanted for intermediate to longer term support as destination therapy or bridge to transplant (i.e. HeartMate® II, at the time of our study).” 3. Previous reviewers have criticized the manuscript for the statistical inability to generate differences between cohorts after removing LVAD and transplant patients. While I agree with the essence of these comments, I disagree about the resultant lack of importance of the manuscript. The manuscript, as I interpret it, is designed to provide a neutral assessment of the data in the CMS calculations. In that regard, the authors have done well in not applying a statistical test of significance. However, I would clarify that objective within the introduction and discussion. For example, rather than stating in the introduction that they “sought to examine the impact of …” I would suggest that the authors indicate that they sought to quantify the available data on LVAD and HTx mortality and readmissions as it relates to the CMS decision. Similarly, in the limitations, in the limitations, I would suggest that the authors indicate that due to very small numbers of patients in the cohorts of interest in a large administrative database, the study was not powered to detect differences and thus no statistical tests of significance were used. Response: We appreciate the Reviewer’s comment and recognize that we had not made this point clear in our prior version of our manuscript. We have edited the manuscript with the language suggested (page 7): “Due to the small numbers of patients with LVAD and heart transplantation in the cohorts, the study was not powered to detect differences and thus no statistical tests of significance were used.” Minor comment: 4. In the 3rd to last sentence of the first Methods paragraph, I believe the authors mean HTx cohort rather than HF cohort. Response: The reviewer is correct and we had made an error in this sentence. We have corrected this error, see page 5: “Inclusion in the cohorts was defined by ICD-9CM procedure codes 37.60, 37.62, 37.65. 37.66. and 37.68 for the LVAD cohort and 33.6 and 37.51 in the heart transplant cohort.” Reviewer #6: Brandt et al. have evaluated mortality and readmission measures of acute myocardial infarction and heart failure patients while assessing the impact of including patients receiving LVAD and heart transplants on these measures. The authors provide a revision of their manuscript along with responses to prior reviewer comments. The manuscript is well-written and presented in an intelligent fashion. The statistical methodology appears adequate although further description of the same in the methods section would be ideal. The authors have addressed most of the concerns raised in a reasonable manner. Most importantly it is apparent that they are limited by the data available to them with respect to providing granularity on this topic. Although I am inclined towards the author’s suggestion that these are important findings given their importance in policy making, I do have a few comments for the authors’ consideration, 1. Firstly, the choice of using data from 2010 to 2013 is surprising. The authors have addressed this concern in response to prior comments citing availability of data as an issue. However, as previously pointed out most devices part of this study are no longer in use and as such do not reflect current clinical practice. Given the authors primary objective was to provide basis for the CMS decision to exclude LVAD and heart transplant patients, I would urge them to include data up until 2016 as suggested earlier. Response: We agree that using the most available data is always best, when possible. The reviewer points out that the devices used today differ from that during our study period. However, the frequency of device use has also changed since the period from 2014 through 2016. Thus, we don’t think that adding data through 2016 would reflect on current device utilization either since the most frequently utilized implanted LVAD (the Heartmate III) was not approved by the FDA for use until 2017. Lastly, the decision to exclude LVAD and heart transplant patients was based on the data presented in our manuscript and not data from after 2013. Thus, we feel it makes the most sense to present on the data that were utilized in this decision. Finally, but also critically, data from after 2013 are not currently available to the authors. Obtaining agreement to analyze post-2013 would require additional contracting and is not feasible. 2. I am not entirely convinced with the conclusion that “Hospitals caring for >6 patients with LVAD or >1 HT typically had lower RSMRs but higher RSRRs” given the differences are less than 1% and the small cohort sizes (LVAD and heart transplant groups). Although the authors suggest that they are referring to this in a non-statistical manner, I would suggest saying “Hospitals caring for >6 patients with LVAD or >1 HT typically had a trend toward lower RSMRs but higher RSRRs”. Response: We agree with the reviewer that the altered statement more accurately reflects the data. Thus, we have updated the manuscript accordingly in both the abstract and the conclusion. See pages 3 and 19, which now read as follows: “Hospitals caring for >6 patients with LVAD or >1 patients with heart transplantation typically had a trend toward lower RSMR but higher RSRR.” and “…hospitals caring for patients with LVAD or performed heart transplants typically had a trend toward lower RSMR but higher RSRR,” respectively. 3. The authors acknowledge that their findings are expected and reiterate the importance of the findings to stakeholders and decision makers. However, given the limitations of the database, the unavailability of data on types of LVAD, indications for use and the small number of patients receiving LVAD and heart transplant, it is hard to establish clinical precedence for this manuscript. Having said that, I would certainly urge the editor to consider this for publication provided the authors are able to add data up until 2016 when CMS made the policy change to provide more comprehensive findings representing that decision. Response: We thank the reviewer for recognizing the importance of our findings for stakeholders and decision makers. Please see our complete response above as to why it is not feasible to include data through 2016. Submitted filename: PLOS ONE reviewer comments_2.docx Click here for additional data file. 9 Mar 2020 Impact of left ventricular assist devices and heart transplant on acute myocardial infarction and heart failure mortality and readmission measures PONE-D-19-30581R2 Dear Dr. Desai, We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements. Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication. Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. With kind regards, Saraschandra Vallabhajosyula, MD FACP Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #5: All comments have been addressed Reviewer #6: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #5: Yes Reviewer #6: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #5: Yes Reviewer #6: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #5: Yes Reviewer #6: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #5: Yes Reviewer #6: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #5: The authors have addressed all concerns of this reviewer. The authors appropriately recognize the limitations of their dataset in the manuscript and the conclusions are not overstated. The manuscript continues to be well-written. Reviewer #6: (No Response) ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #5: No Reviewer #6: No 12 Mar 2020 PONE-D-19-30581R2 Impact of left ventricular assist devices and heart transplants on acute myocardial infarction and heart failure mortality and readmission measures Dear Dr. Desai: I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. For any other questions or concerns, please email plosone@plos.org. Thank you for submitting your work to PLOS ONE. With kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Saraschandra Vallabhajosyula Academic Editor PLOS ONE
  10 in total

1.  2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines.

Authors:  Clyde W Yancy; Mariell Jessup; Biykem Bozkurt; Javed Butler; Donald E Casey; Mark H Drazner; Gregg C Fonarow; Stephen A Geraci; Tamara Horwich; James L Januzzi; Maryl R Johnson; Edward K Kasper; Wayne C Levy; Frederick A Masoudi; Patrick E McBride; John J V McMurray; Judith E Mitchell; Pamela N Peterson; Barbara Riegel; Flora Sam; Lynne W Stevenson; W H Wilson Tang; Emily J Tsai; Bruce L Wilkoff
Journal:  J Am Coll Cardiol       Date:  2013-06-05       Impact factor: 24.094

2.  The Registry of the International Society for Heart and Lung Transplantation: Thirtieth Official Adult Heart Transplant Report--2013; focus theme: age.

Authors:  Lars H Lund; Leah B Edwards; Anna Y Kucheryavaya; Anne I Dipchand; Christian Benden; Jason D Christie; Fabienne Dobbels; Richard Kirk; Axel O Rahmel; Roger D Yusen; Josef Stehlik
Journal:  J Heart Lung Transplant       Date:  2013-10       Impact factor: 10.247

3.  An administrative claims measure suitable for profiling hospital performance on the basis of 30-day all-cause readmission rates among patients with heart failure.

Authors:  Patricia S Keenan; Sharon-Lise T Normand; Zhenqiu Lin; Elizabeth E Drye; Kanchana R Bhat; Joseph S Ross; Jeremiah D Schuur; Brett D Stauffer; Susannah M Bernheim; Andrew J Epstein; Yongfei Wang; Jeph Herrin; Jersey Chen; Jessica J Federer; Jennifer A Mattera; Yun Wang; Harlan M Krumholz
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2008-09

4.  Trends in the use of percutaneous ventricular assist devices: analysis of national inpatient sample data, 2007 through 2012.

Authors:  Rohan Khera; Peter Cram; Xin Lu; Ankur Vyas; Alicia Gerke; Gary E Rosenthal; Phillip A Horwitz; Saket Girotra
Journal:  JAMA Intern Med       Date:  2015-06       Impact factor: 21.873

5.  National patterns of risk-standardized mortality and readmission for acute myocardial infarction and heart failure. Update on publicly reported outcomes measures based on the 2010 release.

Authors:  Susannah M Bernheim; Jacqueline N Grady; Zhenqiu Lin; Yun Wang; Yongfei Wang; Shantal V Savage; Kanchana R Bhat; Joseph S Ross; Mayur M Desai; Angela R Merrill; Lein F Han; Michael T Rapp; Elizabeth E Drye; Sharon-Lise T Normand; Harlan M Krumholz
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2010-08-24

6.  An administrative claims measure suitable for profiling hospital performance based on 30-day all-cause readmission rates among patients with acute myocardial infarction.

Authors:  Harlan M Krumholz; Zhenqiu Lin; Elizabeth E Drye; Mayur M Desai; Lein F Han; Michael T Rapp; Jennifer A Mattera; Sharon-Lise T Normand
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2011-03

7.  Cardiac transplantation in the United States: an analysis of the UNOS registry.

Authors:  Matthew J Everly
Journal:  Clin Transpl       Date:  2008

8.  Readmissions after cardiac surgery: experience of the National Institutes of Health/Canadian Institutes of Health research cardiothoracic surgical trials network.

Authors:  Alexander Iribarne; Helena Chang; John H Alexander; A Marc Gillinov; Ellen Moquete; John D Puskas; Emilia Bagiella; Michael A Acker; Mary Lou Mayer; T Bruce Ferguson; Sandra Burks; Louis P Perrault; Stacey Welsh; Karen C Johnston; Mandy Murphy; Joseph J DeRose; Alexis Neill; Edlira Dobrev; Kim T Baio; Wendy Taddei-Peters; Alan J Moskowitz; Patrick T O'Gara
Journal:  Ann Thorac Surg       Date:  2014-08-28       Impact factor: 4.330

9.  Trends in left ventricular assist device use and outcomes among Medicare beneficiaries, 2004-2011.

Authors:  Julianna F Lampropulos; Nancy Kim; Yun Wang; Mayur M Desai; José Augusto S Barreto-Filho; John A Dodson; Daniel L Dries; Abeel A Mangi; Harlan M Krumholz
Journal:  Open Heart       Date:  2014-08-05

Review 10.  Ventricular assist device selection: which one and when?

Authors:  John M Stulak; Ju Yong Lim; Simon Maltais
Journal:  Croat Med J       Date:  2014-12       Impact factor: 1.351

  10 in total

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