Literature DB >> 36097450

Temporal trends and long-term outcomes among recipients of cardiac resynchronization therapy with defibrillator in the United States, 2011-2015: Insights from the National Cardiovascular Data Registry.

Douglas Darden1, Pamela N Peterson2,3, Xin Xin4, Muhammad Bilal Munir1, Karl E Minges4,5, Ilan Goldenberg6,7, Jeanne E Poole8, Gregory K Feld1, Ulrika Birgersdotter-Green1, Jeptha P Curtis4,5, Jonathan C Hsu1.   

Abstract

Background: Contemporary data on national trends and outcomes in cardiac resynchronization therapy with defibrillator (CRT-D) recipients following the 2012 updated guidelines has not been studied.
Objectives: This study assessed the trends in long-term outcomes among CRT-D Medicare-aged recipients implanted in 2011-2015.
Methods: Patients aged ≥65 years undergoing de novo CRT-D implantation in the National Cardiovascular Data Implantable Cardiac Defibrillator Registry from 2011-2015 with follow-up through 2017 using Medicare data were included and stratified by year of implant. Patient characteristics, in-hospital outcomes, and outcomes up to 2 years following implant were evaluated.
Results: Among 53,174 patients (aged 75.6-6.4 years, 29.7% women) implanted with CRT-D from 2011 to 2015, there was an increase in implantations based on guideline-concordant recommendations (81.0% to 84.7%, P < .001). Compared to 2011, in-hospital procedural complications decreased in 2015 (3.9% vs 2.9%; adjusted odds ratio, 0.76, 95% confidence interval, 0.66-0.88, P < .001), driven in part by decreased lead dislodgement (1.4% vs 1.0%). After multivariable adjustment, there was a lower risk of all-cause hospitalization, cardiovascular hospitalization, and mortality at 2-year follow-up in 2015 as compared to 2011, while there were no differences in heart failure hospitalizations at follow-up.
Conclusion: Among Medicare beneficiaries receiving CRT-D from 2011 to 2015, there was an increase in implantations based on guideline-concordant recommendations. Furthermore, there has been a reduction in in-hospital complications and long-term outcomes, including cardiovascular hospitalization, all-cause hospitalization, and mortality; however, there has been no difference in the risk of heart failure hospitalization after adjustment.
© 2022 Heart Rhythm Society. Published by Elsevier Inc.

Entities:  

Keywords:  Cardiac resynchronization therapy; Implantable cardiac defibrillator; Outcomes research; Registries; Trends

Year:  2022        PMID: 36097450      PMCID: PMC9463686          DOI: 10.1016/j.hroo.2022.03.004

Source DB:  PubMed          Journal:  Heart Rhythm O2        ISSN: 2666-5018


In this study of 53,174 patients who received a cardiac resynchronization therapy defibrillator (CRT-D) from the National Cardiovascular Data Registry Implantable Cardiac Defibrillator Registry from 2011 to 2015, there was an increase in implantations based on guideline recommendations. In-hospital procedural complications significantly decreased across the study period. There were reductions in all-cause hospitalization, cardiovascular hospitalization, and mortality at 2-year follow-up in 2015 as compared to 2011, while there were no reductions in heart failure hospitalization at follow-up.

Introduction

Cardiac resynchronization therapy with defibrillator (CRT-D) is a standard treatment for select patients with heart failure (HF) and prolonged QRS complex. Multiple trials have shown that by restoring ventricular synchrony, CRT-D improves quality of life, improves functional capacity, and reduces hospitalizations and mortality.1, 2, 3 Since approval by the Food and Drug Administration in 2001, the guidelines have evolved to encompass a broader HF population. As experience and volume increased early on, several observational studies including patients with CRT-D demonstrated an increase in the rate of implantations, decrease in procedural complications, and improvements in 6-month all-cause and HF hospitalizations, as well as mortality.5, 6, 7, 8 While these studies included cohorts up to 2010, there are lacking data on contemporary trends in patient selection and outcomes of CRT-D recipients. Furthermore, the American College of Cardiology/American Heart Association/Heart Rhythm Society (ACC/AHA/HRS) released an update of the 2008 guidelines for device-based therapy for cardiac rhythm abnormalities in 2012 that narrowed class I indications to those with left bundle branch block (LBBB) and QRS ≥150 ms, while expanding the class I indications to also include those with mild HF (New York Heart Association [NYHA] class II). It remains unknown if the updated guidelines have influenced patient selection and outcomes among CRT-D recipients. Using data from the Medicare beneficiaries in the National Cardiovascular Data Registry (NCDR) Implantable Cardiac Defibrillator (ICD) Registry between 2011 and 2015, the aims of the study were as follows: (1) to evaluate the trends in the proportions of CRT-D implantations meeting clinical guidelines; (2) to evaluate the trends in in-hospital outcomes; and (3) to evaluate the trends in outcomes up to 2 years.

Methods

Data sources

Patients included in this study were enrolled in the NCDR ICD registry, which has been previously described. The quality of data submitted to the registry is routinely assessed through quality checks, outlier analyses, and site audits. The present study used data collected using the Version 2.1 data collection form. Outcomes following discharge from the index hospitalization were obtained by linking NCDR registry files with corresponding Medicare inpatient fee-for-service claims, as previously described. Combinations of these identifiers are almost completely unique, enabling identification of registry implantations in the Medicare claims data via International Classification of Diseases, Ninth Revision, and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, codes, or a combination of data identification methods. Medicare inpatient claims and denominator files were used for follow-up through December 31, 2017, to allow for up to 2 years of follow-up for patients undergoing CRT-D implantation in 2015. The inpatient files contain hospital claims for reimbursement under Medicare Part A. The denominator files contain death dates. Waiver of written informed consent and authorization for NCDR studies were granted by Chesapeake Research Review Incorporated. The research in this study was conducted according to the Helsinki Declaration guidelines on human research.

Study population

All patients aged 65 years or older who had a registry record for a first-time CRT-D implantation between January 1, 2011, and December 31, 2015, who were enrolled in fee-for-service Medicare at the time of the procedure and could be linked to Medicare claims data were included. Patients with pre-existing devices, those with inconsistent data, and those without linked Medicare data were excluded.

Outcomes

Implantations based on guideline recommendations for CRT implantation were reported according to the 2012 ACC/AHA/HRS Focused Update on Guidelines for Device-Based Therapy. “Guideline-concordant” recommendations included all class I indications (NYHA II, III, and ambulatory IV, LVEF ≤35%, QRS ≥150 ms, LBBB) and class II indications (NYHA I, LVEF ≤30%, QRS ≥150 ms, LBBB, ischemic; NYHA II, LVEF ≤35%, QRS 120–149 ms with LBBB or QRS ≥150 ms with non-LBBB; and NYHA III or ambulatory IV with LVEF ≤35%, LBBB with QRS 120–149 ms and non-LBBB with QRS at least 120 ms). “Guideline-discordant” included class III indications, defined as NYHA class I/II status, non-LBBB morphology with QRS duration <150 ms, or any patient with an LVEF ≥35%. For the guideline recommendation analysis only, patients were additionally excluded owing to an independent pacing indication (second- or third-degree heart block or bradycardic cardiac arrest). In-hospital outcomes included any successful left ventricular (LV) lead placement, intraprocedural death, procedural complication, composite of death and any procedural complication, length of hospitalization >2 days, and optimal medical therapy (OMT) on discharge (defined as beta blocker and angiotensin-converting enzyme (ACE) inhibitor/angiotensin receptor blockade [ARB] prescription). Procedural complications included cardiac arrest, myocardial infarction, cardiac perforation, coronary venous dissection, cardiac tamponade, stroke/transient attack, hematoma, infection requiring antibiotics, hemothorax, pneumothorax, set screw problem, lead dislodgement, conduction block, urgent cardiac surgery, peripheral embolus, and drug reaction. Procedural complications were only available during the index hospitalization. Long-term outcomes included all-cause mortality, all-cause hospitalization, cardiovascular hospitalization, and HF hospitalization at 30-day, 60-day, 90-day, 1-year, and 2-year time points. Cardiovascular hospitalization was defined as a hospitalization with a primary discharge diagnosis of hypertension, coronary artery disease, myocardial infarction, HF, abdominal or aortic aneurysm, valvular disease, and cardiac arrhythmia.

Statistical analysis

Recipients of CRT-D were stratified into 5 unmatched cohorts based on the date of implantation (January 1, 2011–December 31, 2011 vs January 1, 2012–December 31, 2012 vs January 1, 2013–December 31, 2013 vs January 1, 2014–December 31, 2014 vs Jan 1, 2015–December 31, 2015). Univariate analysis of continuous variables with normal distributions were compared using 1-way ANOVA testing and continuous variables with nonparametric distributions were compared using the Kruskal-Wallis test. Categorical variables were analyzed with χ2 test. For each year of data, the proportion of patients experiencing an event were calculated and examined with the Cochran-Armitage test. To evaluate the independent effect of different time periods, logistic regression and Cox proportional hazards regression models with and without adjustment were used for in-hospital and long-term events, respectively. Odds ratios and hazard ratios (HR) with 95% confidence intervals were reported at years 2012, 2013, 2014, and 2015 vs 2011 (reference). Variables included in the multivariable analyses adjusted for demographics (age, sex, race), comorbidities (hypertension, cerebrovascular disease, diabetes, chronic lung disease, renal failure–dialysis, atrial fibrillation/flutter, ventricular tachycardia, cardiac arrest, syndromes associated with risk of sudden cardiac death, previous myocardial infarction, previous percutaneous coronary intervention, previous coronary artery bypass grafting, primary valvular heart disease, ischemic heart disease, on maximally tolerated doses of guideline-directed medical therapy), diagnostic information (NYHA class, ejection fraction, QRS duration, systolic blood pressure, body mass index, hemoglobin, creatinine, blood urea nitrogen, sodium, brain natriuretic peptide), discharge medications (aspirin, warfarin, ACE inhibitor, ARB, beta blocker, antiarrhythmic drug), electrophysiology-trained physician, and hospital characteristics (reason for admission [admitted for procedure vs not], teaching status, and geographic location). All potential confounding variables were well represented and collected as part of the NCDR ICD registry. All analyses were performed with SAS version 9.4 (SAS, Cary, NC). The P values presented are 2-sided, and P < .05 (not adjusted for multiplicity) was considered statistically significant.

Results

Between January 2011 and December 2015, a total of 53,174 patients aged 65 years and older underwent CRT-D implantation and could be linked to Medicare claims data. Exclusions were based on age <65 years (n = 367,932), non-CRT device or not initial implant (n = 387,600), and unable to link to Medicare claims data (n = 46,130). The cohort was stratified based on year of implant as follows, with no significant increase over the period (P trend = .50): 2011, n = 10,833; 2012, n = 10,142; 2013, n = 10,576; 2014, n = 10,601; and 2015, n = 11,022.

Baseline characteristics

The temporal trends in demographics, comorbidities, diagnostic studies, discharge medications, and hospital-level data are stratified by year and are presented in Table 1. Although differences in several baseline characteristics were statistically significant owing to the large sample size, the absolute differences were modest. The mean age of the entire cohort was 75.6 ± 6.4 years, 29.7% were women, and 87% were white, with no differences across the study period. There was an increase in the rate of nonischemic etiology of HF from 37.1% to 45.7% (P < .001), and 91% were primary prevention indication.
Table 1

Baseline characteristics of 53,174 Medicare-aged recipients of cardiac resynchronization therapy defibrillator implants, stratified by year of implant

20112012201320142015P value
N (% of total)10,833 (20.37%)10,142 (19.07%)10,576 (19.89%)10,601 (19.94%)11,022 (20.73%)
Age at implantation (y), mean (SD)75.7 (6.3)75.6 (6.4)75.5 (6.4)75.7 (6.4)75.5 (6.4)0.5
Age distribution 65–692210 (20.4%)2128 (21.0%)2206 (20.9%)2141 (20.2%)2328 (21.1%).03
 70–742572 (23.7%)2413 (23.8%)2621 (24.8%)2624 (24.8%)2757 (25.0%)
 75–792750 (25.4%)2555 (25.2%)2672 (25.3%)2743 (25.9%)2832 (25.7%)
 >803301 (30.5%)3046 (30.0%)3077 (29.1%)3093 (29.2%)3105 (28.2%)
Female3108 (28.7%)3014 (29.7%)3197 (30.2%)3150 (29.7%)3354 (30.4%).05
Race
 White9449 (87.2%)8899 (87.7%)9189 (86.9%)9347 (88.2%)9645 (87.5%).01
 Hispanic386 (3.6%)337 (3.3%)369 (3.5%)300 (2.8%)340 (3.1%)
 Black793 (7.3%)697 (6.9%)804 (7.6%)740 (7.0%)795 (7.2%)
 Other185 (1.7%)187 (1.8%)194 (1.8%)193 (1.8%)224 (2.0%)
Reason for admission
 Admitted for this procedure7478 (69.0%)7176 (70.8%)7644 (72.3%)7845 (74.0%)8101 (73.5%)<.001
 Cardiac – heart failure1587 (14.6%)1331 (13.1%)1286 (12.2%)1141 (10.8%)1290 (11.7%)
 Cardiac – other1515 (14.0%)1359 (13.4%)1398 (13.2%)1402 (13.2%)1412 (12.8%)
 Noncardiac253 (2.3%)276 (2.7%)248 (2.3%)213 (2.0%)219 (2.0%)
Prior HF hospitalization
 None5447 (50.3%)5221 (51.5%)5593 (52.9%)5896 (55.6%)6242 (56.6%)<.001
 <6 months2781 (25.7%)2610 (25.7%)2682 (25.4%)2572 (24.3%)2698 (24.5%)
 ≥6 months2605 (24.0%)2311 (22.8%)2301 (21.8%)2133 (20.1%)2082 (18.9%)
NYHA functional class
 I284 (2.6%)208 (2.1%)237 (2.2%)297 (2.8%)261 (2.4%)<.001
 II1562 (14.4%)1597 (15.7%)1952 (18.5%)2160 (20.4%)2280 (20.7%)
 III8482 (78.3%)7923 (78.1%)7906 (74.8%)7714 (72.8%)8038 (72.9%)
 IV505 (4.7%)414 (4.1%)481 (4.5%)430 (4.1%)443 (4.0%)
Etiology and duration
 Ischemic6817 (62.9%)6072 (59.9%)6115 (57.8%)6047 (57.0%)5981 (54.3%)<.001
 Nonischemic332 (3.1%)291 (2.9%)347 (3.3%)341 (3.2%)402 (3.6%)
 Nonischemic ≥3–9 months782 (7.2%)897 (8.8%)1006 (9.5%)1156 (10.9%)1341 (12.2%)
 Nonischemic ≥9 months2902 (26.8%)2882 (28.4%)3108 (29.4%)3057 (28.8%)3298 (29.9%)
Atrial fibrillation/flutter
 None5960 (55.0%)5585 (55.1%)5653 (53.5%)5610 (52.9%)5873 (53.3%)<.001
 Paroxysmal1927 (17.8%)1813 (17.9%)2027 (19.2%)2068 (19.5%)2124 (19.3%)
 Persistent (>7 days)687 (6.3%)563 (5.6%)772 (7.3%)789 (7.4%)917 (8.3%)
 Permanent (>1 year)1612 (14.9%)1600 (15.8%)1582 (15.0%)1593 (15.0%)1552 (14.1%)
 Unknown5960 (55.0%)5585 (55.1%)5653 (53.5%)5610 (52.9%)5873 (53.3%)<.001
Ventricular tachycardia
 None8539 (78.8%)7995 (78.8%)8379 (79.2%)8542 (80.6%)8846 (80.3%)<.001
 Nonsustained1546 (14.3%)1439 (14.2%)1423 (13.5%)1301 (12.3%)1349 (12.2%)
 Sustained547 (5.0%)491 (4.8%)557 (5.3%)554 (5.2%)618 (5.6%)
 Unknown201 (1.9%)217 (2.1%)217 (2.1%)204 (1.9%)209 (1.9%)
Cardiac arrest472 (4.4%)481 (4.7%)506 (4.8%)519 (4.9%)538 (4.9%).33
Syndromes with risk of sudden cardiac death319 (2.9%)279 (2.8%)380 (3.6%)258 (2.4%)218 (2.0%)<.001
Ischemic heart disease7069 (65.3%)6365 (62.8%)6483 (61.3%)6449 (60.8%)6534 (59.3%)<.001
Previous MI and time frame
 No prior MI5501 (50.8%)5266 (51.9%)5592 (52.9%)5699 (53.8%)5982 (54.3%)<.001
 MI ≤40 days283 (2.6%)217 (2.1%)219 (2.1%)205 (1.9%)236 (2.1%)
 MI >40 days5049 (46.6%)4659 (45.9%)4765 (45.1%)4697 (44.3%)4804 (43.6%)
Previous PCI3536 (32.6%)3341 (32.9%)3494 (33.0%)3590 (33.9%)3752 (34.0%).12
Previous CABG4228 (39.0%)3639 (35.9%)3765 (35.6%)3624 (34.2%)3547 (32.2%)<.001
Primary valvular heart disease1921 (17.7%)1751 (17.3%)1731 (16.4%)1718 (16.2%)1829 (16.6%).01
Hypertension9113 (84.1%)8586 (84.7%)9113 (86.2%)9171 (86.5%)9544 (86.6%)<.001
Cerebrovascular disease1991 (18.4%)1725 (17.0%)1968 (18.6%)1826 (17.2%)1959 (17.8%).01
Diabetes4568 (42.2%)4255 (42.0%)4340 (41.0%)4468 (42.1%)4605 (41.8%).44
Chronic lung disease2625 (24.2%)2431 (24.0%)2535 (24.0%)2554 (24.1%)2544 (23.1%).29
End-stage renal disease on dialysis256 (2.4%)277 (2.7%)245 (2.3%)237 (2.2%)244 (2.2%).10
Diagnostic studies
Ejection fraction
 ≤25%5964 (55.1%)5585 (55.1%)5849 (55.3%)5729 (54.0%)5979 (54.2%).04
 26%–34%3425 (31.6%)3290 (32.4%)3341 (31.6%)3488 (32.9%)3623 (32.9%)
 35%–54%1334 (12.3%)1158 (11.4%)1279 (12.1%)1260 (11.9%)1299 (11.8%)
 ≥55%28 (0.3%)40 (0.4%)21 (0.2%)30 (0.3%)45 (0.4%)
 Missing82 (0.8%)69 (0.7%)86 (0.8%)94 (0.9%)76 (0.7%)
Ventricular tachycardia ablation37 (0.3%)38 (0.4%)49 (0.5%)53 (0.5%)54 (0.5%).28
Cardiac rhythm
 Sinus6624 (61.1%)6198 (61.1%)6507 (61.5%)6511 (61.4%)6773 (61.4%).96
 Atrial fibrillation/flutter2547 (23.5%)2368 (23.3%)2538 (24.0%)2552 (24.1%)2555 (23.2%).45
 Atrial tachycardia42 (0.4%)44 (0.4%)61 (0.6%)59 (0.6%)58 (0.5%).22
 Idioventricular42 (0.4%)37 (0.4%)26 (0.2%)41 (0.4%)35 (0.3%).34
 Junctional77 (0.7%)89 (0.9%)84 (0.8%)114 (1.1%)70 (0.6%)<.001
 Second-degree block169 (1.6%)153 (1.5%)160 (1.5%)173 (1.6%)176 (1.6%).94
 Third-degree block365 (3.4%)346 (3.4%)464 (4.4%)616 (5.8%)725 (6.6%)<.001
Abnormal intraventricular conduction
 Normal1614 (14.9%)1416 (14.0%)1446 (13.7%)1324 (12.5%)1365 (12.4%)<.001
 Left bundle branch block5641 (52.1%)5486 (54.1%)5832 (55.1%)6035 (56.9%)6470 (58.7%)
 Right bundle branch block1290 (11.9%)1176 (11.6%)1208 (11.4%)1233 (11.6%)1182 (10.7%)
 Delay – nonspecific2288 (21.1%)2064 (20.4%)2090 (19.8%)2009 (19.0%)2005 (18.2%)
QRS duration (ms), mean (SD)147.6 (26.0)148.3 (25.6)149.6 (25.2)150.4 (25.4)150.6 (24.9)<.001
 120–129 ms907 (8.4%)802 (7.9%)772 (7.3%)667 (6.3%)648 (5.9%)<.001
 130–149 ms2506 (23.1%)2299 (22.7%)2354 (22.3%)2257 (21.3%)2370 (21.5%)
 <120 ms1015 (9.4%)893 (8.8%)824 (7.8%)844 (8.0%)856 (7.8%)
 ≥150 ms4372 (40.4%)4264 (42.0%)4618 (43.7%)4767 (45.0%)5163 (46.8%)
 Missing2033 (18.8%)1884 (18.6%)2008 (19.0%)2066 (19.5%)1985 (18.0%)
Systolic blood pressure, mean (SD)132.8 (22.3)133.2 (22.7)132.8 (22.5)133.0 (22.6)132.9 (22.5).71
Diastolic blood pressure, mean (SD)72.6 (13.2)72.9 (13.3)72.7 (13.1)72.9 (13.5)72.9 (13.2).33
Body mass index28.6 (9.8)28.8 (9.5)28.8 (9.5)28.8 (9.1)28.8 (7.8).54
Labs, mean (SD)
 Hemoglobin, g/dL12.7 (1.9)12.8 (1.9)12.8 (1.9)12.8 (1.8)12.8 (1.9).69
 Creatinine, mg/dL1.4 (1.0)1.4 (0.9)1.4 (1.0)1.4 (0.9)1.4 (0.9).03
 Blood urea nitrogen, /dL27.5 (14.2)27.1 (14.0)27.1 (13.9)27.0 (13.6)26.8 (13.6).01
 Sodium, mEq/L138.5 (5.6)138.6 (4.6)138.8 (5.4)138.6 (5.1)138.8 (4.9)<.001
 Potassium, mEq/L4.3 (0.5)4.3 (0.5)4.3 (0.5)4.2 (0.5)4.3 (0.5).20
Discharge medications
ACE inhibitor6142 (56.7%)5655 (55.8%)5712 (54.0%)5688 (53.7%)5701 (51.7%)<.001
Angiotensin receptor blocker2194 (20.3%)2233 (22.0%)2537 (24.0%)2538 (23.9%)2773 (25.2%)<.001
Beta blocker9588 (88.5%)9046 (89.2%)9602 (90.8%)9566 (90.2%)10,046 (91.1%)<.001
Aspirin7619 (70.3%)7154 (70.5%)7386 (69.8%)7302 (68.9%)7516 (68.2%).005
P2Y12 inhibitor2585 (23.9%)2188 (21.6%)2249 (21.3%)2138 (20.2%)2324 (21.1%)<.001
Amiodarone1545 (14.3%)1421 (14.0%)1598 (15.1%)1565 (14.8%)1609 (14.6%).19
Sotalol118 (1.1%)145 (1.4%)125 (1.2%)133 (1.3%)114 (1.0%).07
Dofetilide48 (0.4%)52 (0.5%)69 (0.7%)50 (0.5%)71 (0.6%).11
Digoxin2200 (20.3%)1840 (18.1%)1735 (16.4%)1508 (14.2%)1340 (12.2%)<.001
Warfarin3572 (33.0%)3283 (32.4%)3537 (33.4%)3450 (32.5%)3559 (32.3%).35
Diuretic (any)7782 (71.8%)7213 (71.1%)7628 (72.1%)7616 (71.8%)7970 (72.3%).38
Region
 East North Central1888 (17.4%)1709 (16.9%)1768 (16.7%)1819 (17.2%)1753 (15.9%)<.001
 East South Central821 (7.6%)755 (7.4%)792 (7.5%)784 (7.4%)810 (7.3%)
 Middle Atlantic1424 (13.1%)1266 (12.5%)1390 (13.1%)1322 (12.5%)1321 (12.0%)
 Mountain358 (3.3%)409 (4.0%)430 (4.1%)466 (4.4%)561 (5.1%)
 New England365 (3.4%)350 (3.5%)306 (2.9%)343 (3.2%)395 (3.6%)
 Pacific1044 (9.6%)895 (8.8%)921 (8.7%)878 (8.3%)976 (8.9%)
 South Atlantic2540 (23.4%)2460 (24.3%)2637 (24.9%)2674 (25.2%)2687 (24.4%)
 West North Central1018 (9.4%)985 (9.7%)1027 (9.7%)1049 (9.9%)1162 (10.5%)
 West South Central1375 (12.7%)1313 (12.9%)1305 (12.3%)1266 (11.9%)1357 (12.3%)
Hospital type
 Government142 (1.3%)112 (1.1%)133 (1.3%)175 (1.7%)215 (2.0%)<.001
 Private/community9629 (88.9%)9050 (89.2%)9372 (88.6%)9285 (87.6%)9677 (87.8%)
 University1062 (9.8%)980 (9.7%)1071 (10.1%)1141 (10.8%)1130 (10.3%)
Patient beds462.0 (254.5)457.2 (259.2)460.0 (256.7)457.7 (258.2)461.7 (256.1).53
Teaching5234 (48.3%)4805 (47.4%)4989 (47.2%)5052 (47.7%)5137 (46.6%).14

ACE = angiotensin-converting enzyme; CABG = coronary artery bypass graft; HF = heart failure; MI = myocardial infarction; NYHA = New York Heart Association; PCI = percutaneous coronary intervention.

Data are n (%) unless indicated otherwise.

Baseline characteristics of 53,174 Medicare-aged recipients of cardiac resynchronization therapy defibrillator implants, stratified by year of implant ACE = angiotensin-converting enzyme; CABG = coronary artery bypass graft; HF = heart failure; MI = myocardial infarction; NYHA = New York Heart Association; PCI = percutaneous coronary intervention. Data are n (%) unless indicated otherwise. Between 2011 and 2015, most comorbidities were stable throughout the period or had small differences. Notably, patients with NYHA class II undergoing CRT-D implantation increased from 14.4% to 20.7%, while those with NYHA III and IV symptoms decreased from 78.3% to 72.9% and 4.7% to 4.0%, respectively (P < .001). The proportion of those with LBBB increased from 52.1% to 58.7%, while those with a right bundle branch block decreased slightly from 11.9% to 10.7% (P < .001). Patients with a QRS ≥150 ms increased from 40.4% to 46.8% (P < .001). The prescription of ACE inhibitors decreased from 56.7% to 51.7% during the study period, while the prescription of ARBs increased from 20.3% to 25.2% and beta blockers increased from 88.5% to 91.1% (P < .001 for all). There was a substantial decrease in the use of digoxin, from 20.3% to 12.2% (P < .001).

Implantations based on guideline recommendations

After an additional exclusion of 3326 patients owing to an independent pacing indication, the cohort for this subanalysis consisted of 49,848 patients. Overall, implants based on guideline-concordant indications increased across the study period (81.0% to 84.7%, P < .001), while guideline-discordant indications declined (19.0% to 15.3%, P < .001), as seen in Table 2. Furthermore, there was an increase in implants based on class I indications (28.6% to 36.4%, P < .001) and decrease in class II recommendations from 52.4% to 48.3% (P < .001).
Table 2

Cardiac resynchronization therapy defibrillator implantations based on 2012 updated guideline recommendations, stratified by guideline recommendations

20112012201320142015P trend
N10,28896529960982310,125
Guideline concordant (class I and II)8331 (81.0%)7961 (82.5%)8240 (82.7%)8280 (84.3%)8577 (84.7%)<.001
 Class I indications2944 (28.6%)2933 (30.4%)3191 (32.0%)3345 (34.1%)3685 (36.4%)<.001
 NYHA II434 (4.2%)476 (4.9%)669 (6.7%)760 (7.7%)844 (8.3%)<.001
 NYHA III2510 (24.4%)2457 (25.5%)2522 (25.3%)2585 (26.3%)2841 (28.1%)<.001
 Class II indications5387 (52.4%)5028 (52.1%)5049 (50.7%)4935 (50.2%)4892 (48.3%)<.001
Guideline disconcordant (class III)1957 (19.0%)1691 (17.5%)1720 (17.3%)1543 (15.7%)1548 (15.3%)<.001

NYHA = New York Heart Association.

Cardiac resynchronization therapy defibrillator implantations based on 2012 updated guideline recommendations, stratified by guideline recommendations NYHA = New York Heart Association.

In-hospital outcomes

The unadjusted crude rates of in-hospital outcomes are presented in Table 3. The proportion of successful LV lead implants remained stable at approximately 96% from 2011 to 2015. Any procedural complication showed a steady decline from 3.9% to 2.9% (P < .001). The most common procedural complication was lead dislodgement, which decreased across the study period from 1.4% to 1.0% (P = .03). No significant differences in coronary venous dissection, cardiac tamponade, hematoma, or pneumothorax were observed over time. The rates of OMT improved over the study period from 68.1% to 70.6% (P < .001) and prolonged hospitalization (greater than 2 days) decreased from 43.8% to 39.2% (P < .001). Only 12 procedural deaths were reported during the study period, with no significant change across time.
Table 3

Unadjusted crude rates of in-hospital short-term outcomes among cardiac resynchronization therapy defibrillator recipients, stratified by year of implant

20112012201320142015P trend
N10,83310,14210,57610,60111,022
Procedural Outcomes
 Successful left ventricular lead placement10,376 (95.8%)9718 (95.8%)10,091 (95.4%)10,099 (95.3%)10,537 (95.6%).04
Reason for failed left ventricular lead implant
 Vascular access30 (0.3%)26 (0.3%)19 (0.2%)25 (0.2%)39 (0.4%).91
 Coronary sinus access223 (2.1%)181 (1.8%)221 (2.1%)208 (2.0%)211 (1.9%)
 Tributary vein access35 (0.3%)44 (0.4%)43 (0.4%)47 (0.4%)41 (0.4%)
 Coronary sinus dissection22 (0.2%)17 (0.2%)21 (0.2%)23 (0.2%)20 (0.2%)
 Unacceptable threshold23 (0.2%)19 (0.2%)19 (0.2%)16 (0.2%)18 (0.2%)
 Diaphragmatic stimulation6 (0.1%)5 (0.0%)4 (0.0%)5 (0.0%)4 (0.0%)
Mortality4 (0.0%)1 (0.0%)1 (0.0%)2 (0.0%)4 (0.0%).09
Any procedural complication419 (3.9%)320 (3.2%)329 (3.1%)330 (3.1%)318 (2.9%)<.001
 Cardiac arrest40 (0.4%)23 (0.2%)26 (0.2%)37 (0.3%)38 (0.3%).21
 Myocardial infarction5 (0.0%)2 (0.0%)4 (0.0%)2 (0.0%)5 (0.0%).69
 Cardiac perforation9 (0.1%)16 (0.2%)13 (0.1%)13 (0.1%)9 (0.1%).43
 Coronary venous dissection34 (0.3%)23 (0.2%)25 (0.2%)32 (0.3%)27 (0.2%).63
 Cardiac tamponade17 (0.2%)14 (0.1%)16 (0.2%)15 (0.1%)23 (0.2%).69
 Stroke/transient ischemic attack6 (0.1%)5 (0.0%)5 (0.0%)10 (0.1%)8 (0.1%).63
 Hematoma51 (0.5%)29 (0.3%)46 (0.4%)35 (0.3%)42 (0.4%).18
 Infection requiring antibiotics12 (0.1%)6 (0.1%)4 (0.0%)1 (0.0%)5 (0.0%).02
 Hemothorax5 (0.0%)4 (0.0%)5 (0.0%)3 (0.0%)6 (0.1%).92
 Pneumothorax45 (0.4%)41 (0.4%)51 (0.5%)49 (0.5%)38 (0.3%).56
 Set screw problem6 (0.1%)3 (0.0%)8 (0.1%)3 (0.0%)1 (0.0%).12
 Lead dislodgement156 (1.4%)129 (1.3%)133 (1.3%)122 (1.2%)108 (1.0%).03
 Urgent cardiac surgery4 (0.0%)4 (0.0%)5 (0.0%)3 (0.0%)2 (0.0%).81
In-hospital outcomes
Length of hospitalization ≥2 days4742 (43.8%)4290 (42.3%)4312 (40.8%)4182 (39.4%)4321 (39.2%)<.001
Optimal medical therapy on discharge7380 (68.1%)7008 (69.1%)7451 (70.5%)7504 (70.8%)7781 (70.6%)<.001

Beta blocker and angiotensin-converting enzyme inhibitor or angiotensin receptor blocker.

Unadjusted crude rates of in-hospital short-term outcomes among cardiac resynchronization therapy defibrillator recipients, stratified by year of implant Beta blocker and angiotensin-converting enzyme inhibitor or angiotensin receptor blocker. The unadjusted and multivariable logistic regression analyses for in-hospital outcomes are shown in Table 4. Compared to 2011, no difference in successful LV lead placement was observed over time. There was a decreased risk in any procedural complication (odds ratio [OR] 0.76, 95% confidence interval [CI] 0.66–0.88, P < .001) and 8% risk reduction in prolonged hospitalization >2 days (OR 0.92, 95% CI 0.85–0.98, P = .02) in 2015 as compared to 2011. Furthermore, compared to 2011, no difference was observed in OMT at discharge after adjustment (OR 1.05, 95% CI 0.99–1.11, P = .13).
Table 4

Adjusted in-hospital outcomes among cardiac resynchronization therapy defibrillator recipients, stratified by years 2012–2015 compared to 2011 (reference group)

20112012
2013
2014
2015
OR (95% CI)P valueOR (95% CI)P valueOR (95% CI)P valueOR (95% CI)P value
Successful LV lead placementReference1.01 (0.88–1.15).920.91 (0.80–1.04).170.87 (0.77–1.0).050.94 (0.82–1.07).36
Any procedural complicationReference0.81 (0.70–0.93)<.0010.79 (0.68–0.91)<.0010.80 (0.70–0.93)<.010.76 (0.66–0.88)<.001
Hospitalization ≥2 daysReference0.98 (0.91–1.06).640.95 (0.89–1.02).640.95 (0.89–1.02).640.92 (0.85–0.98).02
Optimal medical therapy on dischargeReference1.03 (0.97–1.09).391.07 (1.01–1.14).021.07 (1.01–1.14).021.05 (0.99–1.11).13

LV = left ventricular.

Beta blocker and angiotensin-converting enzyme inhibitor or angiotensin receptor blocker.

Adjusted in-hospital outcomes among cardiac resynchronization therapy defibrillator recipients, stratified by years 2012–2015 compared to 2011 (reference group) LV = left ventricular. Beta blocker and angiotensin-converting enzyme inhibitor or angiotensin receptor blocker.

Long-term outcomes

The unadjusted crude temporal trends in long-term outcomes are presented in Table 5. Significant improvements in HF hospitalizations, cardiovascular hospitalizations, and all-cause hospitalizations were observed at 90-day, 1-year, and 2-year follow-up. All-cause mortality only decreased at the 2-year follow-up time point, from 21.7% in 2011 to 16.9% in 2015 (P < .001).
Table 5

Unadjusted crude rates of long-term outcomes following cardiac resynchronization therapy defibrillator placement, stratified by year of implant

20112012201320142015P trend
Mortality
 30 days153 (1.4%)129 (1.3%)107 (1.0%)127 (1.2%)143 (1.3%).10
 90 days449 (4.1%)407 (4.0%)374 (3.5%)370 (3.5%)424 (3.8%).04
 1 year1342 (12.4%)1255 (12.4%)1274 (12.0%)1252 (11.8%)1333 (12.1%).67
 2 years2356 (21.7%)2193 (21.6%)2284 (21.6%)2197 (20.7%)1860 (16.9%)<.001
Hospitalization, all-cause
 30 days1232 (11.4%)1122 (11.1%)1150 (10.9%)1034 (9.8%)1058 (9.6%)<.001
 90 days2448 (22.6%)2202 (21.7%)2250 (21.3%)2065 (19.5%)2183 (19.8%)<.001
 1 year4837 (44.7%)4396 (43.3%)4521 (42.7%)4291 (40.5%)4478 (40.6%)<.001
 2 years6416 (59.2%)5809 (57.3%)6075 (57.4%)5834 (55.0%)6110 (55.4%)<.001
Hospitalization, cardiovascular
 30 days695 (6.4%)639 (6.3%)635 (6.0%)547 (5.2%)565 (5.1%)<.001
 90 days1421 (13.1%)1265 (12.5%)1299 (12.3%)1147 (10.8%)1189 (10.8%)<.001
 1 year2846 (26.3%)2526 (24.9%)2631 (24.9%)2409 (22.7%)2477 (22.5%)<.001
 2 years3854 (35.6%)3409 (33.6%)3601 (34.0%)3340 (31.5%)3457 (31.4%)<.001
Hospitalization, heart failure
 30 days302 (2.8%)280 (2.8%)275 (2.6%)250 (2.4%)260 (2.4%).12
 90 days703 (6.5%)636 (6.3%)644 (6.1%)579 (5.5%)634 (5.8%).01
 1 year1545 (14.3%)1407 (13.9%)1476 (14.0%)1366 (12.9%)1450 (13.2%).02
 2 years2201 (20.3%)1979 (19.5%)2117 (20.0%)2006 (18.9%)2082 (18.9%).02
Unadjusted crude rates of long-term outcomes following cardiac resynchronization therapy defibrillator placement, stratified by year of implant In multivariable Cox analyses adjusted for potential confounding variables, no difference in the risk of HF hospitalization was observed at 30-day, 90-day, 1-year, or 2-year follow-up in CRT-D implants in year 2015 as compared 2011, while the risk of cardiovascular hospitalization and all-cause hospitalization decreased at each endpoint in long-term follow-up (Figure 1). Compared to 2011, there was a slight increase in 1-year mortality (HR 1.1, 95% CI 1.02–1.19, P = .01), while there was an improvement in mortality at 2-year follow-up (HR 0.86, 95% CI 0.81–0.92, P < .001).
Figure 1

Unadjusted and adjusted long-term outcomes in year 2015 as compared to 2011 (reference) among cardiac resynchronization therapy defibrillator recipients: A: mortality; B: all-cause hospitalization; C: cardiovascular hospitalization; and D: heart failure hospitalization.

Unadjusted and adjusted long-term outcomes in year 2015 as compared to 2011 (reference) among cardiac resynchronization therapy defibrillator recipients: A: mortality; B: all-cause hospitalization; C: cardiovascular hospitalization; and D: heart failure hospitalization.

Discussion

In this large cohort evaluating the trends in outcomes of Medicare beneficiaries receiving CRT-D from 2011 to 2015, we report several important findings. First, there was an increase in the prevalence of implants based on guideline-concordant indications across the study period. Second, successful LV lead placement was achieved in approximately 96% of patients. Third, in-hospital procedural complications significantly decreased, from 3.9% to 2.9%, driven by a reduction in lead dislodgements. Furthermore, there was a reduction in prolonged hospitalization across the study period. Fourth, there were reductions in the risk of long-term outcomes at 2-year follow-up with cardiovascular hospitalization, all-cause hospitalization, and mortality; however, there was no difference observed in the risk of HF hospitalization. Clinical trials have influenced guideline recommendations by demonstrating CRT improves morbidity and mortality in select patients with HF largely based on QRS morphology and duration.1, 2, 3 Indeed, careful selection of patients is critical, as some patients, such as those with a right bundle branch block or advanced HF, may not have clinical benefit and implantation carries potential risks. An early report from 2006 to 2008 from the NCDR found nearly 1 in 4 patients receive CRT outside of guideline trial recommendations. The 2012 guideline update narrowed the class I indications to only include those with an LBBB and QRS duration ≥150 ms, while it also expanded guideline-concordant recommendations to include those with NYHA class II symptoms. A contemporary update including all patients in the NCDR ICD registry receiving de novo CRT-D implantation from 2012 to 2015 (average age approximately 67 years) showed a significant increase in implants concordant with the updated guidelines, with an increase from 81.2% to 84.2%. Importantly, the updated guidelines do not include the results of the Biventricular Pacing for Atrioventricular Block and Systolic Dysfunction (BLOCK-HF) trial; therefore, we excluded patients with a pacing indication for this subanalysis. In our cohort consisting of an older Medicare population, we similarly showed an improvement in the rates of guideline-concordant implants, from 81.0% in 2011 to 84.7% in 2015. Although these are promising data, the elderly are underrepresented in clinical trials and advanced age is a known risk factor for complications associated with CRT. We show in this analysis that approximately 15% of elderly patients are receiving guideline-discordant CRT implantations, suggesting room for continued improvement in assessing CRT candidacy among older patients. Complication rates in the clinical trials of CRT ranged from approximately 6% to 13%, driven mostly by lead dislodgements., In a meta-analysis published in 2011 of 7 CRT randomized trials, lead dislodgement occurred in 5.7% of patients, followed by coronary sinus complications (2%) and pneumothorax (0.9%). Unlike clinical trials, registries allow large-scale real-world assessment of device complications. Using the Nationwide Inpatient Sample database, Patel and colleagues noted an overall complication of 16% among CRT-D recipients from 2003 to 2012, with an overall increase across the time period. Individually, mechanical complications (5.9%) were the most common, with an increase from 4.9% to 7.9%, followed by cardiovascular (3.6%), respiratory failure (2.4%), and pneumothorax (1.5%). Since there is no uniform definition of major complications, this overall number may be higher owing to more extensive coding. We expand on prior work with a contemporary and markedly larger cohort with data that are subject to a rigorous event adjudication process with a focus on in-hospital complications. We demonstrate a steady decline from 3.9% to 2.9% (P < .001) in any procedural complication from 2011 to 2015. The most common procedural complication was lead dislodgement, which decreased across the study period from 1.4% to 1.0% (P = .03). It remains uncertain if the improvement is based on greater implanter experience and skill or advancements in delivery systems and leads., Nonetheless, these generalizable contemporary complication rates can inform the shared decision-making process in considering CRT implantation among the elderly. We observed temporal trend improvements in several long-term outcomes at 2 years, including all-cause hospitalization, cardiovascular hospitalization, and mortality; however, no improvement was observed in HF hospitalizations at any point in follow-up. Prior reports from the NCDR ICD registry demonstrated a reduction in all-cause rehospitalization among Medicare beneficiaries who underwent ICD implantation (including CRT-D) between 2006 and 2010, driven mainly by HF rehospitalization at 6 months (13.1% to 11.4%). Conversely, contemporary reports including cohorts up to 2018 from the National Inpatient Sample and the National Readmission Database have shown an increase in HF hospitalizations and readmissions in recent years, respectively., While CRT has been shown to reduce HF hospitalizations by 37% in select patients, it would be suspected that risk of HF hospitalizations would decrease with parallel improvements in guideline indication adherence. Although our study was not equipped to determine the underlying reasons behind failing to reduce risk of HF hospitalizations, several plausible explanations are worth expanding on. Roughly 70% of patients were prescribed OMT (beta blocker and ACE inhibitor or ARB) on discharge with no improvement across the study period. Early reports from the NCDR ICD registry demonstrated an increase of OMT prescription in 2010 compared to 2006; however, nearly a quarter of patients still did not receive OMT, which was still higher than our contemporary and older cohort. While the low rate of ACE/ARB prescription in our cohort may be partially explained by increased use of angiotensin-neprilysin inhibitors, as it was not captured in the registry, a prior study showed only 2% of eligible patients were prescribed angiotensin-neprilysin inhibitors in a large national registry following approval in 2015., Moreover, the Centers for Medicare and Medicaid Services implemented the Federal Hospital Readmissions Reduction Program in 2012 to provide financial incentive to hospitals to reduce readmissions, which has been shown to decrease 30-day and 1-year HF hospitalizations., While it may not be expected to achieve a beneficial effect of CRT leading to reduction in HF hospitalization in the immediate follow-up periods, still no difference was observed after both implementation of the Hospital Readmissions Reduction Program and 2012 updated guidelines, with 1 in 5 patients experiencing a HF hospitalization at the extended follow-up period of 2 years. Lastly, there may have been variability in coding or even miscoding of HF hospitalization in our patient cohort. Still, this may call for outpatient strategies to reduce HF hospitalization risk, such as multidisciplinary HF clinics, remote monitoring adherence, or use of virtual follow-up specifically for the aging population. Lastly, a significant improvement in mortality was observed after adjustment only at 2-year follow-up, with a decrease from 21.7% in 2011 to 16.9% in 2015. The risk of death in our cohort is much higher than reported in clinical trials, as would be expected given the advanced age in our cohort. For instance, the MADIT-CRT trial reported 6.8% mortality rate in the CRT-D group at an average follow-up of 2.4 years. In a separate study using the NCDR ICD registry, Borne and colleagues reported a reduction in 6-month mortality among CRT-D Medicare beneficiary recipients from 8.0% in 2006 to 6.6% in 2010. Reasons for lack of reduction in mortality risk at earlier endpoints in our contemporary cohort are unclear. It may be that CRT-D itself is not the primary driver in mortality reduction given that there is no difference in HF hospitalizations. Rather, improvements in areas such as management of comorbidities, patient selection resulting in less-frail patients, and overall closer outpatient follow-up may play an important role in the aging population with CRT-D.

Study limitations

Our study must be interpreted in the context of several limitations. The study was observational by design and causation should not be assumed. Outcomes can only be adjusted for variables captured in the registry, and limited information exists on the clinical decision-making for accepting or rejecting a particular therapy. This study should be interpreted as hypothesis-generating and provides valuable insight into the real-world practice-changing patterns. Second, the study was limited to Medicare beneficiaries. The generalizability of our results to beyond the Medicare population remains unclear. Lastly, we were unable to assess long-term outcomes related to optimal medical therapy in the follow-up period, device programming information, or device complications owing to unavailability and inconsistent coding related to Medicare codes spanning our study period.

Conclusion

In a large, contemporary registry of Medicare patients receiving CRT-D from 2011 to 2015, we observed improved adherence to guideline-concordant device implantation based on updated guideline-recommended indications, decrease in in-hospital complications, and improvements in all-cause hospitalization, cardiovascular hospitalization, and mortality at 2-year follow-up. However, there was no improvement in the risk of HF hospitalization.
  25 in total

1.  Biventricular pacing for atrioventricular block and systolic dysfunction.

Authors:  Anne B Curtis
Journal:  N Engl J Med       Date:  2013-08-08       Impact factor: 91.245

2.  Bundle-branch block morphology and other predictors of outcome after cardiac resynchronization therapy in Medicare patients.

Authors:  Kenneth C Bilchick; Sandeep Kamath; John P DiMarco; George J Stukenborg
Journal:  Circulation       Date:  2010-11-01       Impact factor: 29.690

3.  Trends in 30- and 90-Day Readmission Rates for Heart Failure.

Authors:  Muhammad Shahzeb Khan; Jayakumar Sreenivasan; Noman Lateef; Marwan S Abougergi; Stephen J Greene; Tariq Ahmad; Stefan D Anker; Gregg C Fonarow; Javed Butler
Journal:  Circ Heart Fail       Date:  2021-04-19       Impact factor: 8.790

4.  Frequency of in-hospital adverse outcomes and cost utilization associated with cardiac resynchronization therapy defibrillator implantation in the United States.

Authors:  Nilay Patel; Juan Viles-Gonzalez; Kanishk Agnihotri; Shilpkumar Arora; Nileshkumar J Patel; Ekta Aneja; Mahek Shah; Apurva O Badheka; Naga Venkata Pothineni; Krishna Kancharla; Siva Mulpuru; Peter A Noseworthy; Fred Kusumoto; Yong Mei Cha; Abhishek J Deshmukh
Journal:  J Cardiovasc Electrophysiol       Date:  2018-09-06

5.  2012 ACCF/AHA/HRS focused update incorporated into the ACCF/AHA/HRS 2008 guidelines for device-based therapy of cardiac rhythm abnormalities: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society.

Authors:  Andrew E Epstein; John P DiMarco; Kenneth A Ellenbogen; N A Mark Estes; Roger A Freedman; Leonard S Gettes; A Marc Gillinov; Gabriel Gregoratos; Stephen C Hammill; David L Hayes; Mark A Hlatky; L Kristin Newby; Richard L Page; Mark H Schoenfeld; Michael J Silka; Lynne Warner Stevenson; Michael O Sweeney; Cynthia M Tracy; Andrew E Epstein; Dawood Darbar; John P DiMarco; Sandra B Dunbar; N A Mark Estes; T Bruce Ferguson; Stephen C Hammill; Pamela E Karasik; Mark S Link; Joseph E Marine; Mark H Schoenfeld; Amit J Shanker; Michael J Silka; Lynne Warner Stevenson; William G Stevenson; Paul D Varosy
Journal:  J Am Coll Cardiol       Date:  2012-12-19       Impact factor: 24.094

6.  Cardiac Resynchronization Therapy: US Trends and Disparities in Utilization and Outcomes.

Authors:  Arun Raghav Mahankali Sridhar; Vivek Yarlagadda; Sravanthi Parasa; Yeruva Madhu Reddy; Dhavalkumar Patel; Dhanunjaya Lakkireddy; Bruce L Wilkoff; Buddhadeb Dawn
Journal:  Circ Arrhythm Electrophysiol       Date:  2016-03

7.  Prevalence and predictors of off-label use of cardiac resynchronization therapy in patients enrolled in the National Cardiovascular Data Registry Implantable Cardiac-Defibrillator Registry.

Authors:  Adam S Fein; Yongfei Wang; Jeptha P Curtis; Frederick A Masoudi; Paul D Varosy; Matthew R Reynolds
Journal:  J Am Coll Cardiol       Date:  2010-08-31       Impact factor: 24.094

8.  Temporal trends in quality of care among recipients of implantable cardioverter-defibrillators: insights from the National Cardiovascular Data Registry.

Authors:  John A Dodson; Rachel Lampert; Yongfei Wang; Stephen C Hammill; Paul Varosy; Jeptha P Curtis
Journal:  Circulation       Date:  2013-11-05       Impact factor: 29.690

Review 9.  Cardiac resynchronization therapy for patients with left ventricular systolic dysfunction: a systematic review.

Authors:  Finlay A McAlister; Justin Ezekowitz; Nicola Hooton; Ben Vandermeer; Carol Spooner; Donna M Dryden; Richard L Page; Mark A Hlatky; Brian H Rowe
Journal:  JAMA       Date:  2007-06-13       Impact factor: 56.272

10.  Cardiac-resynchronization therapy for the prevention of heart-failure events.

Authors:  Arthur J Moss; W Jackson Hall; David S Cannom; Helmut Klein; Mary W Brown; James P Daubert; N A Mark Estes; Elyse Foster; Henry Greenberg; Steven L Higgins; Marc A Pfeffer; Scott D Solomon; David Wilber; Wojciech Zareba
Journal:  N Engl J Med       Date:  2009-09-01       Impact factor: 91.245

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