Literature DB >> 32468933

Associations Between Hospital Length of Stay, 30-Day Readmission, and Costs in ST-Segment-Elevation Myocardial Infarction After Primary Percutaneous Coronary Intervention: A Nationwide Readmissions Database Analysis.

Sun-Joo Jang1,2, Ilhwan Yeo3,4, Dmitriy N Feldman1, Jim W Cheung1, Robert M Minutello1, Harsimran S Singh1, Geoffrey Bergman1, S Chiu Wong1, Luke K Kim1.   

Abstract

Background Readmission after ST-segment-elevation myocardial infarction (STEMI) poses an enormous economic burden to the US healthcare system. There are limited data on the association between length of hospital stay (LOS), readmission rate, and overall costs in patients who underwent primary percutaneous coronary intervention for STEMI. Methods and Results All STEMI hospitalizations were selected in the Nationwide Readmissions Database from 2010 to 2014. From the patients who underwent primary percutaneous coronary intervention, we examined the 30-day outcomes including readmission, mortality, reinfarction, repeat revascularization, and hospital charges/costs according to LOS (1-2, 3, 4, 5, and >5 days) stratified by infarct locations. The 30-day readmission rate after percutaneous coronary intervention for STEMI was 12.0% in the anterior wall (AW) STEMI group and 9.9% in the non-AW STEMI group. Patients with a very short LOS (1-2 days) were readmitted less frequently than those with a longer LOS regardless of infarct locations. However, patients with a very short LOS had significantly increased 30-day readmission mortality versus an LOS of 3 days (hazard ratio, 1.91; CI, 1.16-3.16 [P=0.01]) only in the AW STEMI group. Total costs (index admission+readmission) were the lowest in the very short LOS cohort in both the AW STEMI group (P<0.001) and the non-AW STEMI group (P<0.001). Conclusions For patients who underwent primary percutaneous coronary intervention for STEMI, a very short LOS was associated with significantly lower 30-day readmission and lower cumulative cost. However, a very short LOS was associated with higher 30-day mortality compared with at least a 3-day stay in the AW STEMI cohort.

Entities:  

Keywords:  PCI; STEMI; costs; length of hospital stay; readmission

Mesh:

Year:  2020        PMID: 32468933      PMCID: PMC7428974          DOI: 10.1161/JAHA.119.015503

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


against medical advice anterior wall coronary artery bypass grafting Healthcare Cost and Utilization Project health maintenance organization hazard ratio hospital readmission reduction program intra‐aortic balloon pump International Classification of Diseases, Ninth Revision, Clinical Modification length of stay major adverse cardiac events National Cardiovascular Data Registry Nationwide Readmissions Database percutaneous coronary intervention percutaneous left ventricular assist device standard error ST‐segment–elevation myocardial infarction

Clinical Perspective

What Is New?

In this large, nationwide cohort of patients hospitalized for ST‐segment–elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention, we demonstrated that very early discharge strategy is associated with reduced readmissions and decreased overall cost in low‐risk patients. Very short discharge (length of stay 1–2 days) after primary percutaneous coronary intervention for STEMI was associated with increased 30‐day mortality compared with 3‐daylength of stay in the anterior wall (AW) STEMI group but not in the non‐AW STEMI group. Longer length of stay and readmissions were strong independent predictors of higher total costs in both patients with AW and those with non‐AW STEMI.

What Are the Clinical Implications?

Hospital length of stay appeared to be a marker of subsequent outcomes and total healthcare costs in patients hospitalized for STEMI undergoing primary percutaneous coronary intervention. Very early discharge after primary percutaneous coronary intervention for STEMI may represent potential strategies to decrease readmissions and to lower healthcare costs. Patients with AW STEMI need attention for very early discharge strategy considering potential increase in 30‐day mortality. Recent advances in the treatment of ST‐segment–elevation myocardial infarction (STEMI) have resulted in improved outcomes.1, 2, 3 However, STEMI remains a significant cause of morbidity and mortality in the United States. It is estimated that nearly $12.1 billion US dollars were spent in 2013 for hospital care of STEMI.4, 5 Early discharge after primary percutaneous coronary intervention (PCI) for STEMI has been shown to be feasible in multiple studies.6, 7, 8, 9 However, the impact of shortening hospital length of stay (LOS) on readmission remains an important question, especially since readmission after STEMI is still an enormous economic burden to the US healthcare system.10 As an effort to reduce readmissions and to improve quality of care, which can lead to significant cost reduction, the Centers for Medicare & Medicaid Services implemented the Hospital Readmission Reduction Program (HRRP) in several key diseases including acute myocardial infarction.11 Recent studies demonstrated that about 20% of patients are readmitted within 30 days of hospitalization after STEMI, and significant efforts have been spent on identifying factors associated with 30‐day readmissions.12, 13, 14 Our group recently demonstrated that 30‐day readmission after STEMI was associated with an ≈50% increase in cumulative hospital costs.15 Considering the recent trend of declining hospital LOS after STEMI,16 the association between LOS, readmissions, and costs needs to be further defined. Using the Nationwide Readmissions Database (NRD), we aimed to investigate the impact of LOS on the 30‐day readmission rates and hospital costs after PCI in patients with STEMI stratified by the location of infarct.

Methods

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Data Source

Data were obtained from the Agency for Healthcare Research and Quality, which administers the Healthcare Cost and Utilization Project (HCUP). We used NRD from 2010 to 2014. The NRD is a large administrative database constructed using discharge data from the HCUP State Inpatient Databases, with verified patient linkage numbers used to track the patients across hospitals within a state during a given year.17 The NRD is designed to support national readmission analyses and is a publicly available national representative healthcare database. From 2010 to 2014, the NRD contained deidentified information for total 70 501 787 index hospitalizations from 1715 to 2048 hospitals in 18 to 22 states, representing a national estimate of 181 545 077 discharges. Each patient record in the NRD contains information on the patient's diagnoses and procedures performed during the hospitalization based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD‐9‐CM) codes and Clinical Classification Software (CCS) codes that groups multiple ICD‐9‐CM codes for facilitated statistical analyses. We identified our study population, comorbidities, causes of readmissions, in‐hospital outcomes using a combination of ICD‐9‐CM codes, and Clinical Classification Software codes. Institutional review board approval and informed consent were not required for current study because all data collection was derived from a publicly open and deidentified administrative database.

Study Population and Variables

All hospitalizations for STEMI with subsequent underwent PCI during index hospitalization were selected by finding ICD‐9‐CM codes for initial STEMI (410.x1) and PCI (00.66, 36.01, 36.02, 36.05, 36.06, and 36.07) (total unweighted N=228 953; weighted N=539 517). Subendocardial infarction (410.7x) was excluded from the analysis. In addition, patients who died during the index hospitalization were excluded in this cohort. To evaluate the effect of LOS and eliminate outliers, we included patients with a LOS from 1 day up to 14 days. LOS was calculated by subtracting the admission date from the discharge date. The LOS was categorized as follows: short LOS (LOS 1–3 days), medium LOS (LOS 4–5 days), and long LOS (LOS >5 days). We also examined the very short LOS (LOS 1–2 days) cohort versus those with a longer LOS after subdividing patients into 5 LOS cohorts (LOS 1–2, 3, 4, 5, and >5). Patients with a concomitant diagnosis of cardiogenic shock and cardiac arrest were identified using ICM‐9‐CM codes 785.51 and 427.5, respectively. Concurrent use of intra‐aortic balloon pump and percutaneous left ventricular assist devices were identified with ICD‐9‐CM procedure codes 37.61 and 37.68, respectively. Since NRD prohibits linking patients across years, patients discharged from January through November were included in the study to allow for completeness of data on 30 days of follow‐up after discharge. Furthermore, patients with missing data on LOS were excluded to properly capture interval until readmission. Patient‐ and hospital‐level variables were included as baseline characteristics. NRD variables were used to identify age, sex, median household income quartiles, primary payer, hospital teaching status, location, and bed size. ICD‐9‐CM codes for selected concurrent clinical diagnoses and procedures are listed in Table S1.

Study Outcomes

The primary outcome of this study was 30‐day readmission rate described by the HCUP. Time to readmission was defined as the number of days from discharge date of index admission to readmission date. The first readmission in 30 days was included, and transfer to another hospital was not counted as a readmission. The secondary outcomes within 30 days included rates of all‐cause mortality, reinfarction (ICD‐9‐CM codes of 410.x1 except 410.7x), repeat revascularization, and major adverse cardiac events (MACE), defined as a composite of mortality, reinfarction, and repeat revascularization. Furthermore, cumulative hospital charges and costs for index hospitalizations and readmissions were examined according to LOS.

Statistical Analyses

All statistical analyses were performed using SAS software version 9.4 (SAS Institute Inc) and R statistical software version 3.5.1 (www.R-proje​ct.org) with its package “survey.” Discharge weight and stratum provided by NRD were used for all analyses and thus all reported numbers are weighted national estimates.17 Domain analysis was used for accurate variance calculations for subgroup analyses.18 All analyses accounted for NRD sampling design by including hospital‐year fixed effects based on hospital identification number.19 We compared baseline patient‐ and hospital‐level characteristics with STEMI and PCI stratified by the occurrence of 30‐day readmission, LOS, and location of the infarct. Categorical variables are presented as frequencies and analyzed by Rao‐Scott chi‐square test. Continuous variables are shown as mean or median and were tested by either Mann–Whitney–Wilcoxon test or survey‐specific linear regression test. To evaluate the predictive value of LOS and other covariates for primary and secondary outcomes, survey‐specific univariate and multivariable Cox proportional hazards models were applied. Variables with P<0.1 were included as initial covariates. Final parsimonious models were created by manual removal of each covariate based on Akaike information criterion while ensuring each removal did not result in >10% change in the measure of association for the primary predictor variable. Adjusted risks are presented as hazard ratios (HRs) together with 95% CIs and P values. For the cost analysis, the estimated cost for each hospitalization was calculated by the validated method of using cost‐to‐charge ratio provided by HCUP.20 NRD data was merged with cost‐to‐charge ratio files provided by HCUP and then multiplied by the charge for each hospitalization with the respective cost‐to‐charge ratio. Cumulative total cost was defined as the cost of readmission plus the cost of the index admission. Afterward, we examined the predictors of cumulative cost by performing survey‐specific multivariable linear regression test and log‐transforming costs to achieve a normal distribution. All tests were 2‐sided with P<0.05 considered statistically significant.

Results

Baseline Characteristics by LOS

During the study period, 539 517 patients underwent primary PCI after STEMI at 3682 sites. Overall, 187 557 patients (34.8%) presented with anterior wall (AW) STEMI, while 351 960 patients (65.2%) presented with non‐AW (NAW) STEMI. The mean age was 60.8 years (standard error, 0.1) in the AW STEMI group and 61.2 years (standard error, 0.1) in the NAW STEMI group. The distribution of LOS in the overall patients, AW STEMI group, and NAW STEMI group is shown in Figure 1. Patients with AW STEMI were more likely to stay longer in the hospital than those with NAW STEMI (LOS mean±standard error: 3.7±0.1 versus 3.3±0.1; P<0.001). The proportion of patients in each LOS cohort was 69.7% (n=375 996) for short LOS, 17.6% (n=94 936) for medium LOS, and 12.7% (n=68 583) for long LOS. Among those who presented with AW STEMI, the proportion of each LOS cohort was 62.6% (n=117 332) for short LOS, 21.4% (n=40 232) for medium LOS, and 16.0% (n=29 993) for long LOS. In the NAW STEMI group, the proportion was 73.5% (n=258 663) for short LOS, 15.5% (n=54 706) for medium LOS, and 11.0% (n=38 591) for long LOS.
Figure 1

Histogram of length of hospital stay.

A, Density of length of stay (LOS) in overall patients. B, Density of LOS in patients with anterior wall (AW) myocardial infarction. C, Density of LOS in patients with non‐AW myocardial infarction.

Histogram of length of hospital stay.

A, Density of length of stay (LOS) in overall patients. B, Density of LOS in patients with anterior wall (AW) myocardial infarction. C, Density of LOS in patients with non‐AW myocardial infarction. Tables 1 and 2 compare the baseline patient‐ and hospital‐level characteristics according to LOS groups stratified by 30‐day readmission. Patients in the medium or long LOS cohort were older and more likely to be women and have hypertension, diabetes mellitus, previous myocardial infarction, previous coronary artery bypass graft surgery, family history of coronary artery disease, congestive heart failure, peripheral vascular disorders, chronic pulmonary disease, chronic kidney disease, liver disease, anemia, atrial fibrillation, coagulopathy, cerebrovascular disease, fluid and electrolyte disorders, obesity, and other neurological disorders compared with the short LOS cohort in both AW and NAW STEMI groups (Table S2). In addition, patients in the medium or long LOS cohort were more likely to have concomitant cardiogenic shock or cardiac arrest and require support from intraaortic balloon pump or percutaneous left ventricular assist device in both the AW and NAW STEMI groups.
Table 1

Baseline Characteristics for Patients Discharged Alive After Index Hospitalization With STEMI in AW

CharacteristicsOverallLOS 1 to 3 dLOS 4 to 5 dLOS >5 d
30‐d Readmission
NoYes P ValueNoYes P ValueNoYes P ValueNoYes P Value
Patients, No.165 024 (88.0)a 22 533 (12.0)107 122 (91.3)10 210 (8.7)34 251 (85.1)5981 (14.9)23 651 (78.9)6342 (21.1)
Patient characteristics
Age, mean (SE), y60.3 (0.1)64.3 (0.2)<0.001b 59.0 (0.1)62.2 (0.3)<0.001b 61.7 (0.2)64.9 (0.3)<0.001b 64.3 (0.2)67.6 (0.3)<0.001b
Age group, y<0.001c <0.001<0.001<0.001
<5033 283 (20.2)3476 (15.4)23 544 (22.0)1841 (18.0)6356 (18.6)957 (16.0)3383 (14.3)679 (10.7)
50 to 6473 823 (44.7)7953 (35.3)50 748 (47.4)4023 (39.4)14 263 (41.6)2021 (33.8)8812 (37.3)1909 (30.1)
≥6557 918 (35.1)11 103 (49.3)32 831 (30.6)4346 (42.6)13 631 (39.8)3004 (50.2)11 456 (48.4)3754 (59.2)
Women41 087 (24.9)7941 (35.2)<0.00123 239 (21.7)3108 (30.4)<0.0019975 (29.1)2273 (38.0)<0.0017874 (33.3)2561 (40.4)<0.001
Smoking history77 606 (47.0)10 090 (44.8)<0.00152 876 (49.4)4944 (48.4)0.32015 444 (45.1)2685 (44.9)0.8779286 (39.3)2461 (38.8)0.709
Hypertension100 897 (61.1)15 186 (67.4)<0.00164 681 (60.4)6702 (65.6)<0.00121 256 (62.1)4123 (68.9)<0.00114 960 (63.3)4361 (68.8)<0.001
Diabetes mellitus38 147 (23.1)6367 (28.3)<0.00123 266 (21.7)2692 (26.4)<0.0018700 (25.4)1725 (28.8)0.0036182 (26.1)1950 (30.8)<0.001
Dyslipidemia94 442 (57.2)12 791 (56.8)0.49462 864 (58.7)5985 (58.6)0.94519 381 (56.6)3388 (56.6)0.96112 197 (51.6)3418 (53.9)0.058
Known coronary artery disease144 171 (87.4)19 748 (87.6)0.53193 590 (87.4)8951 (87.7)0.62330 057 (87.8)5279 (88.3)0.52520 525 (86.8)5518 (87.0)0.809
Previous myocardial infarction10 962 (6.6)1844 (8.2)<0.0017123 (6.6)802 (7.9)0.0112141 (6.3)497 (8.3)<0.0011698 (7.2)544 (8.6)0.030
Previous PCI17 522 (10.6)2744 (12.2)<0.00111 277 (10.5)1212 (11.9)0.0183515 (10.3)760 (12.7)0.0022731 (11.5)773 (12.2)0.414
Previous CABG1664 (1.0)384 (1.7)<0.001969 (0.9)157 (1.5)<0.001349 (1.0)104 (1.7)0.005346 (1.5)123 (1.9)0.149
Family history of coronary artery disease22 363 (13.6)2421 (10.7)<0.00115 896 (14.8)1288 (12.6)<0.0014310 (12.6)670 (11.2)0.1262158 (9.1)464 (7.3)0.017
Congestive heart failure28 063 (17.0)6452 (28.6)<0.0019266 (8.6)1300 (12.7)<0.0018076 (23.6)1809 (30.2)<0.00110 721 (45.3)3343 (52.7)<0.001
Peripheral vascular disease8059 (4.9)1867 (8.3)<0.0013925 (3.7)635 (6.2)<0.0012053 (6.0)468 (7.8)0.0022081 (8.8)763 (12.0)<0.001
Chronic pulmonary disease17 866 (10.8)3833 (17.0)<0.0019539 (8.9)1329 (13.0)<0.0014155 (12.1)1045 (17.5)<0.0014172 (17.6)1458 (23.0)<0.001
Chronic kidney disease9496 (5.8)2828 (12.6)<0.0013924 (3.7)727 (7.1)<0.0012352 (6.9)756 (12.6)<0.0013221 (13.6)1346 (21.2)<0.001
Liver disease1462 (0.9)240 (1.1)0.120824 (0.8)95 (0.9)0.305294 (0.9)71 (1.2)0.168344 (1.5)74 (1.2)0.226
Anemia10 506 (6.4)2832 (12.6)<0.0013249 (3.0)622 (6.1)<0.0012781 (8.1)728 (12.2)<0.0014476 (18.9)1483 (23.4)<0.001
Atrial fibrillation12 878 (7.8)3479 (15.4)<0.0014336 (4.0)816 (8.0)<0.0013632 (10.6)957 (16.0)<0.0014911 (20.8)1705 (26.9)<0.001
Coagulopathy4293 (2.6)848 (3.8)<0.0011341 (1.3)173 (1.7)0.023971 (2.8)178 (3.0)0.7131981 (8.4)497 (7.8)0.459
Collagen vascular disease2931 (1.8)569 (2.5)<0.0011675 (1.6)184 (1.8)0.288683 (2.0)152 (2.5)0.201572 (2.4)233 (3.7)0.001
Drug abuse4817 (2.9)804 (3.6)0.0023064 (2.9)377 (3.7)0.0061039 (3.0)209 (3.5)0.258714 (3.0)217 (3.4)0.386
Fluid/electrolyte disorders20 705 (12.5)4097 (18.2)<0.0018201 (7.7)1032 (10.1)<0.0018182 (15.1)917 (15.3)0.8217322 (31.0)2149 (33.9)0.016
Obesity22 433 (13.6)2902 (12.9)0.11114 366 (13.4)1259 (12.3)0.1294628 (13.5)772 (12.9)0.4633439 (14.5)870 (13.7)0.374
Other neurological disorders4791 (2.9)1037 (4.6)<0.0012223 (2.1)331 (3.2)<0.0011185 (3.5)278 (4.6)0.0141384 (5.9)429 (6.8)0.122
Median household income<0.0010.0090.0110.557
First quartile45 601 (28 2)6801 (30.7)28 807 (27.4)2989 (29.7)9777 (29.1)1834 (31.2)7027 (30.3)1978 (31.9)
Second quartile42 951 (26.5)6003 (27.1)27 946 (26.6)2756 (27.4)8888 (26.4)1639 (27.9)6117 (26.4)1608 (25.9)
Third quartile39 131 (24.2)5113 (23.1)25 613 (24.4)2317 (23.1)8090 (24.0)1403 (23.8)5427 (23.4)1393 (22.5)
Fourth quartile34 165 (21.1)4222 (19.1)22 659 (21.6)1989 (19.8)6884 (20.5)1009 (17.1)4621 (19.9)1225 (19.7)
Primary payer<0.001<0.001<0.001<0.001
Medicare59 249 (35.9)11 581 (51.4)33 937 (31.7)4618 (45.2)13 858 (40.5)3113 (52.1)11 453 (48.4)3849 (60.7)
Medicaid12 619 (7.6)2225 (9.9)7639 (7.1)975 (9.6)2881 (8.4)623 (10.4)2099 (8.9)627 (9.9)
Private including HMO65 646 (39.8)5970 (26.5)46 446 (43.4)3235 (31.7)12 291 (35.9)1507 (25.2)6910 (29.2)1228 (19.4)
Self‐pay/no charge/other27 510 (16.7)2757 (12.2)19 101 (17.8)1381 (13.5)5220 (15.2)737 (12.3)3189 (13.5)639 (10.1)
Index STEMI presentation/treatment
Weekend admission48 189 (29.2)6272 (27.8)0.01631 794 (29.7)2875 (28.2)0.08310 326 (30.1)1811 (30.3)0.9086070 (25.7)1587 (25.0)0.548
Cardiogenic shock11 189 (6.8)2532 (11.2)<0.0011847 (1.7)247 (2.4)0.0032611 (7.6)546 (9.1)0.0236723 (28.4)1738 (27.4)0.387
Cardiac arrest6675 (4.0)1030 (4.6)0.0581987 (1.9)213 (2.1)0.3661672 (4.9)274 (4.6)0.6243017 (12.8)543 (8.6)<0.001
IABP13 261 (8.0)2818 (12.5)<0.0012193 (2.0)306 (3.0)<0.0014167 (12.2)770 (12.9)0.3986901 (29.2)1742 (27.5)0.121
PLVAD565 (0.3)114 (0.5)0.04186 (0.1)12 (0.1)0.484100 (0.3)15 (0.3)0.750380 (1.6)87 (1.4)0.451
Hospital characteristics
Hospital teaching status0.2100.0110.0550.661
Teaching88 606 (53.7)11 905 (52.8)55 994 (52.3)5083 (49.8)19 335 (56.5)3228 (54.0)13 277 (56.1)3595 (56.7)
Nonteaching76 418 (46.3)10 627 (47.2)51 129 (47.7)5126 (50.2)14 915 (43.5)2753 (46.0)10 374 (43.9)2747 (43.3)
Hospital location<0.0010.1930.4490.037
Rural85 571 (51.9)11 146 (49.5)56 907 (53.1)5293 (51.8)17 207 (50.2)2945 (49.2)11 458 (48.4)2907 (45.8)
Urban79 453 (48.1)11 387 (50.5)50 216 (46.9)4916 (48.2)17 044 (49.8)3036 (50.8)12 192 (51.6)3434 (54.2)
Hospital bed size0.0190.3990.5360.222
Small11 889 (7.2)1399 (6.2)8081 (7.5)702 (6.9)2302 (6.7)363 (6.1)1506 (6.4)334 (5.3)
Medium36 686 (22.2)4920 (21.8)24 707 (23.1)2426 (23.8)7356 (21.5)1239 (20.7)4623 (19.5)1254 (19.8)
Large116 449 (70.6)16 213 (72.0)74 335 (69.4)7081 (69.4)24 593 (71.8)4379 (73.2)17 521 (74.1)4753 (75.0)
Disposition<0.001<0.001<0.001<0.001
Home147 108 (89.1)17 367 (77.1)102 366 (95.6)9219 (90.3)29 771 (86.9)4697 (78.5)14 971 (63.3)3450 (54.4)
Facilityd 16 908 (10.2)4950 (22.0)3918 (3.7)854 (8.4)4385 (12.8)1233 (20.6)8605 (36.4)2863 (45.1)
AMA/unknown1008 (0.6)215 (1.0)838 (0.8)136 (1.3)95 (0.3)51 (0.9)75 (0.3)29 (0.5)

AMA indicates against medical advice; AW, anterior wall; CABG, coronary artery bypass grafting; HMO, health maintenance organization; IABP, intra‐aortic balloon pump; LOS, length of stay; PCI, percutaneous coronary intervention; PLVAD, percutaneous left ventricular assist device; SE, standard error; and STEMI, ST‐segment–elevation myocardial infarction.

Values are presented as number (percentage) of patients unless otherwise indicated.

Survey‐specific linear regression was performed.

Rao‐Scott chi‐square test was used for all statistical tests unless stated otherwise.

Facility includes skilled nursing facility, intermediate care facility, and inpatient rehabilitation facility.

Table 2

Baseline Characteristics for Patients Discharged Alive After Index Hospitalization with STEMI in Nonanterior Wall

CharacteristicsOverallLOS 1 to 3 dLOS 4 to 5 dLOS >5 d
30‐d Readmission
NoYes P ValueNoYes P ValueNoYes P ValueNoYes P Value
Patients, No.317 076a (90.1)34 883 (9.9)238 624 (92.3)20 040 (7.7)47 395 (86.6)7310 (13.4)31 058 (80.5)7533 (19.5)
Patient characteristics
Age, mean (SE), y60.9 (0.1)64.4 (0.1)<0.001b 59.7 (0.1)62.2 (0.2)<0.001b 63.6 (0.1)66.3 (0.3)<0.001b 65.9 (0.1)68.3 (0.3)<0.001b
Age group, y<0.001c <0.001<0.001<0.001
<5056 533 (17.8)4861 (13.9)46 821 (19.6)3491 (17.4)6627 (14.0)833 (11.4)8085 (9.9)538 (7.1)
50 to 64144 000 (45.4)12 817 (36.7)113 218 (47.4)8028 (40.1)19 283 (40.7)2420 (33.1)11 500 (37.0)2368 (31.4)
≥65116 544 (36.8)17 205 (49.3)78 585 (32.9)8520 (42.5)21 486 (45.3)4058 (55.5)16 473 (0.53)4627 (61.4)
Women87 055 (27.5)12 980 (37.2)<0.00159 996 (25.1)5521 (33.1)<0.00116 024 (33.8)3065 (41.9)<0.00111 034 (35.5)3282 (43.6)<0.001
Smoking history165 955 (52.3)16 289 (46.7)<0.001130 523 (54.7)10 113 (50.5)<0.00122 398 (47.3)3192 (43.7)0.00213 034 (42.0)2985 (39.6)0.053
Hypertension204 951 (64.6)24 543 (70.4)<0.001151 781 (63.6)13 912 (69.4)<0.00131 918 (67.3)5274 (72.1)<0.00121 252 (68.4)5357 (71.1)0.016
Diabetes mellitus74 376 (23.5)10 130 (29.0)<0.00152 890 (22.2)5449 (27.2)<0.00112 590 (26.6)2279 (31.2)<0.0018897 (28.6)2402 (31.9)0.004
Dyslipidemia189 949 (59.9)20 014 (57.4)<0.001145 164 (60.8)11 911 (59.4)0.03827 933 (58.9)4183 (57.2)0.11916 852 (54.3)3920 (52.0)0.061
Known coronary artery disease274 434 (86.6)30 088 (86.3)0.408206 436 (86.5)17 322 (86.4)0.87941 391 (87.3)6317 (86.4)0.23326 607 (85.7)6448 (85.6)0.934
Previous myocardial infarction26 016 (8.2)3117 (8.9)0.01519 196 (8.0)1692 (8.4)0.2974117 (8.7)714 (9.8)0.0932703 (8.7)712 (9.5)0.294
Previous PCI41 118 (13.0)4895 (14.0)0.00430 853 (12.9)2754 (13.7)0.0886080 (12.8)1023 (14.0)0.1424185 (13.5)1118 (14.8)0.103
Previous CABG9875 (3.1)1338 (3.8)<0.0016961 (2.9)679 (3.4)0.0571721 (3.6)282 (3.9)0.5941193 (3.8)377 (5.0)0.020
Family history of coronary artery disease42 565 (13.4)3669 (10.5)<0.00134 591 (14.5)2531 (12.6)<0.0015200 (11.0)634 (8.7)0.0022773 (8.9)505 (6.7)<0.001
Congestive heart failure24 943 (7.9)5895 (16.9)<0.0019634 (4.0)1503 (7.5)<0.0015990 (12.6)1619 (22.1)<0.0019319 (30.0)2772 (36.8)<0.001
Peripheral vascular disease20 194 (6.4)3605 (10.3)<0.00112 438 (5.2)1536 (7.7)<0.0014047 (8.5)931 (12.7)<0.0013709 (11.9)1138 (15.1)<0.001
Chronic pulmonary disease40 035 (12.6)6846 (19.6)<0.00125 818 (10.8)3304 (16.5)<0.0017466 (15.8)1572 (21.5)<0.0016750 (21.7)1969 (26.1)<0.001
Chronic kidney disease18 808 (5.9)4513 (12.9)<0.0019624 (4.0)1647 (8.2)<0.0014159 (8.8)1099 (15.0)<0.0015025 (16.2)1767 (23.5)<0.001
Liver disease2883 (0.9)478 (1.4)<0.0011803 (0.8)235 (1.2)<0.001562 (1.2)100 (1.4)0.413518 (1.7)143 (1.9)0.442
Anemia20 972 (6.6)4780 (13.7)<0.0018928 (3.7)1486 (7.4)<0.0015100 (10.8)1240 (17.0)<0.0016944 (22.4)2053 (27.3)<0.001
Atrial fibrillation25 715 (8.1)5038 (14.4)<0.00112 801 (5.4)1695 (8.5)<0.0015933 (12.5)1362 (18.6)<0.0016981 (22.5)1981 (26.3)<0.001
Coagulopathy7280 (2.3)1204 (3.5)<0.0012899 (1.2)294 (1.5)0.0821488 (3.1)268 (3.7)0.2122893 (9.3)642 (8.5)0.267
Collagen vascular disease5857 (1.8)915 (2.6)<0.0013965 (1.7)422 (2.1)0.0101186 (2.5)254 (3.5)0.012705 (2.3)240 (3.2)0.018
Drug abuse8306 (2.6)991 (2.8)0.1616181 (2.6)663 (3.3)<0.0011304 (2.8)204 (2.8)0.933820 (2.6)124 (1.6)0.001
Fluid/electrolyte disorders33 047 (10.4)5801 (16.6)<0.00116 251 (6.8)1738 (8.7)<0.0016839 (14.4)1366 (18.7)<0.0019957 (32.1)2697 (35.8)<0.001
Obesity44 435 (14.0)4886 (14.0)0.98232 872 (13.8)2695 (13.4)0.4836770 (14.3)1014 (13.9)0.6314794 (15.4)1177 (15.6)0.822
Other neurological disorders8686 (2.7)1597 (4.6)<0.0015182 (2.2)714 (3.6)<0.0011625 (3.4)314 (4.3)0.0261880 (6.1)569 (7.6)0.026
Median household income<0.001<0.0010.1090.235
First quartile91 316 (29.3)10 926 (31.9)67 466 (28.8)6 1162 (31.3)14 530 (31.2)2386 (33.2)9320 (30.6)2379 (32.1)
Second quartile83 375 (26.8)9046 (26.4)63 116 (26.9)5199 (26.4)12 159 (26.1)1823 (25.4)8100 (26.6)2024 (27.3)
Third quartile76 278 (24.5)8163 (23.8)57 915 (24.7)4702 (23.9)10 977 (23.6)1729 (24.1)7386 (24.2)1732 (23.4)
Fourth quartile60 361 (19.4)6150 (17.9)45 809 (19.6)3634 (18.4)8878 (19.1)1241 (17.3)5673 (18.6)1275 (17.2)
Primary payer<0.001<0.001<0.001<0.001
Medicare121 138 (38.2)18 413 (52.8)82 427 (34.5)9219 (46.0)22 094 (46.6)4363 (59.7)16 618 (53.5)4831 (64.1)
Medicaid21 603 (6.8)2926 (8.4)15 700 (6.6)1651 (8.2)3456 (7.3)603 (8.2)2447 (7.9)671 (8.9)
Private including HMO122 511 (38.6)9529 (27.3)99 520 (41.7)6463 (32.3)14 681 (31.0)1619 (22.1)8309 (26.8)1448 (19.2)
Self‐pay/no charge/other51 824 (16.3)4015 (11.5)40.977 (17.2)2706 (13.5)7164 (15.1)725 (9.9)3683 (11.9)583 (7.7)
Index STEMI presentation/treatment
Weekend admission90 651 (28.6)9770 (28.0)0.21969 034 (28.9)5665 (28.3)0.30413 662 (28.8)2300 (31.5)0.0137955 (25.6)1804 (23.9)0.118
Cardiogenic shock15 204 (4.8)3038 (8.7)<0.0014546 (1.9)533 (2.7)<0.0013641 (7.7)703 (9.6)0.0037017 (22.6)1801 (23.9)0.213
Cardiac arrest9423 (3.0)1343 (3.8)<0.0013415 (1.4)308 (1.5)0.5052188 (4.6)317 (4.3)0.5903820 (12.3)717 (9.5)<0.001
IABP11 736 (3.7)2346 (6.7)<0.0012077 (0.9)307 (1.5)<0.0013 3778 (7.1)590 (8.1)0.1246282 (20.2)1450 (19.2)0.348
PLVAD301 (0.1)74 (0.2)<0.00141 (0.0)8 (0.0)0.10962 (0.1)5 (0.1)0.305198 (0.6)60 (0.8)0.398
Hospital characteristics
Hospital teaching status0.3120.1330.7840.234
Teaching166 974 (52.7)18 158 (52.1)124 444 (52.2)10 217 (51.0)25 442 (53.7)3901 (53.4)17 089 (55.0)4040 (53.6)
Nonteaching150 102 (47.3)16 725 (47.9)114 179 (47.8)9822 (49.0)21 954 (46.3)3410 (46.6)13 969 (45.0)3493 (46.4)
Hospital location<0.001<0.0010.6980.019
Rural167 549 (52.8)17 352 (49.7)128 909 (54.0)10 295 (51.4)23 502 (49.6)3591 (49.1)15 138 (48.7)3466 (46.0)
Urban149 527 (47.2)17 532 (50.3)109 714 (46.0)9744 (48.6)23 893 (50.4)3719 (50.9)15 920 (51.3)4068 (54.0)
Hospital bed size0.9730.7750.0520.729
Small22 403 (7.1)2458 (7.0)17 761 (7.4)1446 (7.2)2806 (5.9)530 (7.2)1836 (5.9)482 (6.4)
Medium69 610 (22.0)7699 (22.1)53 459 (22.4)4572 (22.8)10 140 (21.4)1675 (22.9)6012 (19.4)1452 (19.3)
Large225 064 (71.0)24 727 (70.9)167 404 (70.2)14 021 (70.0)34 450 (72.7)5106 (69.8)23 210 (74.7)5599 (74.3)
Disposition<0.001<0.001<0.001<0.001
Home288 522 (91.0)27 786 (79.7)228 831 (95.9)18 249 (91.1)41 064 (86.6)5725 (78.3)18 627 (60.0)3812 (50.6)
Facilityd 26 610 (8.4)6741 (19.3)8113 (3.4)1526 (7.6)6171 (13.0)1539 (21.1)12 326 (39.7)3676 (48.8)
AMA/unknown1945 (0.6)357 (1.0)1679 (0.7)265 (1.3)161 (0.3)46 (0.6)105 (0.3)46 (0.6)

AMA indicates against medical advice; CABG, coronary artery bypass grafting; HMO, health maintenance organization; IABP, intra‐aortic balloon pump; LOS, length of stay; PCI, percutaneous coronary intervention; PLVAD, percutaneous left ventricular assist device; SE, standard error; and STEMI, ST‐segment–elevation myocardial infarction.

Values are presented as number (percentage) of patients unless otherwise indicated.

Survey‐specific linear regression was performed.

Rao‐Scott chi‐square test was used for all statistical tests unless stated otherwise.

Facility includes skilled nursing facility, intermediate care facility, and inpatient rehabilitation facility.

Baseline Characteristics for Patients Discharged Alive After Index Hospitalization With STEMI in AW AMA indicates against medical advice; AW, anterior wall; CABG, coronary artery bypass grafting; HMO, health maintenance organization; IABP, intra‐aortic balloon pump; LOS, length of stay; PCI, percutaneous coronary intervention; PLVAD, percutaneous left ventricular assist device; SE, standard error; and STEMI, ST‐segment–elevation myocardial infarction. Values are presented as number (percentage) of patients unless otherwise indicated. Survey‐specific linear regression was performed. Rao‐Scott chi‐square test was used for all statistical tests unless stated otherwise. Facility includes skilled nursing facility, intermediate care facility, and inpatient rehabilitation facility. Baseline Characteristics for Patients Discharged Alive After Index Hospitalization with STEMI in Nonanterior Wall AMA indicates against medical advice; CABG, coronary artery bypass grafting; HMO, health maintenance organization; IABP, intra‐aortic balloon pump; LOS, length of stay; PCI, percutaneous coronary intervention; PLVAD, percutaneous left ventricular assist device; SE, standard error; and STEMI, ST‐segment–elevation myocardial infarction. Values are presented as number (percentage) of patients unless otherwise indicated. Survey‐specific linear regression was performed. Rao‐Scott chi‐square test was used for all statistical tests unless stated otherwise. Facility includes skilled nursing facility, intermediate care facility, and inpatient rehabilitation facility.

Thirty‐Day Readmission by LOS

Overall incidence of 30‐day readmission was higher in patients with AW STEMI than those with NAW STEMI (12.3% versus 9.9%, P<0.001). The rates of 30‐day readmission in patients with AW STEMI were 8.7% in the short LOS cohort, 14.9% in the medium LOS cohort, and 21.1% in the long LOS cohort (P<0.001). The rate of 30‐day readmission in patients with NAW STEMI were 7.7% in the short LOS cohort, 13.4% in the medium LOS cohort, and 19.5% in the long LOS cohort (P<0.001). In the AW STEMI group, the 30‐day readmission rates were 7.8% in the very short LOS (1–2 days) cohort, 9.8% in the 3‐day LOS cohort, 13.8% in the 4‐day LOS cohort, 16.9% in the 5‐day LOS cohort, and 21.1% in the >5‐day LOS cohort (P<0.001) (Figure 2A). In the NAW STEMI group, the 30‐day readmission rates were 7.1% in the very short LOS cohort, 8.8% in the 3‐day LOS cohort, 12.0% in the 4‐day LOS cohort, 16.3% in the 5‐day LOS cohort, and 19.5% in the >5‐day LOS cohort (P<0.001) (Figure 2B). Very short LOS was associated with reduced risk of adjusted 30‐day readmission in both the AW STEMI group (adjusted HR, 0.84; 95% CI, 0.78–0.91) and the NAW STEMI group (adjusted HR, 0.87; 95% CI, 0.83–0.92) compared with 3‐day LOS. Patients with LOS of 4 days, 5 days, and >5 days showed incrementally higher risk of adjusted 30‐day readmission in both the AW STEMI group (adjusted HR, 1.26 [95% CI, 1.17–1.36]; 1.42 [95% CI, 1.30–1.55]; and 1.50 [95% CI, 1.39–1.63], respectively) and the NAW STEMI group (adjusted HR, 1.19 [95% CI, 1.11–1.27]; 1.47 [95% CI, 1.34–1.60]; and 1.46 [95% CI, 1.37–1.57], respectively) (Figure 3, Tables S3 through S8).
Figure 2

Cumulative rates of 30‐day readmission, 30‐day mortality, 30‐day reinfarction, 30‐day repeat revascularization, and 30‐day major adverse cardiac events (MACE) according to hospital length of stay (LOS) and infarct location.

Data show unadjusted 30‐day readmission in anterior wall (AW) ST‐segment–elevation myocardial infarction (STEMI) (A) and non‐AW STEMI (B), 30‐day readmission mortality in AW STEMI (C) and non‐AW STEMI (D), 30‐day reinfarction in AW STEMI (E) and non‐AW STEMI (F), 30‐day repeat revascularization in AW STEMI (G) and non‐AW STEMI (H), and 30‐day MACE in AW STEMI (I) and non‐AW STEMI (J).

Figure 3

Forest plot of adjusted risk of 30‐day readmission, 30‐day mortality, 30‐day reinfarction, 30‐day repeat revascularization, and 30‐day major adverse cardiac events (MACE) according to hospital length of stay (LOS) and infarct location.

Adjusted covariates for each clinical outcome can be found in the supplemental material.

Cumulative rates of 30‐day readmission, 30‐day mortality, 30‐day reinfarction, 30‐day repeat revascularization, and 30‐day major adverse cardiac events (MACE) according to hospital length of stay (LOS) and infarct location.

Data show unadjusted 30‐day readmission in anterior wall (AW) ST‐segment–elevation myocardial infarction (STEMI) (A) and non‐AW STEMI (B), 30‐day readmission mortality in AW STEMI (C) and non‐AW STEMI (D), 30‐day reinfarction in AW STEMI (E) and non‐AW STEMI (F), 30‐day repeat revascularization in AW STEMI (G) and non‐AW STEMI (H), and 30‐day MACE in AW STEMI (I) and non‐AW STEMI (J).

Forest plot of adjusted risk of 30‐day readmission, 30‐day mortality, 30‐day reinfarction, 30‐day repeat revascularization, and 30‐day major adverse cardiac events (MACE) according to hospital length of stay (LOS) and infarct location.

Adjusted covariates for each clinical outcome can be found in the supplemental material.

Thirty‐Day Readmission Mortality, Reinfarction, and Repeat Revascularization by LOS

The 30‐day mortality rates during readmission were 0.2% in the short LOS cohort, 0.4% in the medium LOS cohort, and 1.3% in the long LOS cohort among the AW STEMI group (P<0.001), and 0.1% in the short LOS cohort, 0.4% in the medium LOS cohort, and 0.9% in the long LOS cohort among the NAW STEMI group (P<0.001). The 30‐day mortality rates for both the AW STEMI group and the NAW STEMI group stratified by more detailed LOS cohorts are shown in Figure 2C and 2D. In the AW STEMI group, the rate of 30‐day mortality was the lowest in the 3‐day LOS cohort, showing a U‐shaped risk distribution (Figure 3 and 4). Very short LOS after AW STEMI was associated with significantly higher risk of adjusted 30‐day mortality compared with 3‐day LOS (adjusted HR, 1.92; 95% CI, 1.16–3.16). However, the risk of adjusted 30‐day mortality increased progressively with increasing LOS (adjusted HR: 4‐day LOS [versus 3‐day LOS], 1.80 [95% CI, 1.06–3.04]; 5‐day LOS, 2.32 [95% CI, 1.44–3.73]; and >5‐day LOS, 3.45 [95% CI, 2.22–5.36]) in the AW STEMI group. In the NAW STEMI group, the risk of adjusted 30‐day mortality was not significantly different in the very short LOS cohort (adjusted HR, 0.71; 95% CI, 0.48–1.06) versus the 3‐day LOS cohort, but the risk of adjusted 30‐day mortality sequentially increased with longer LOS (adjusted HR: 4‐day LOS [versus 3 day LOS], 1.52 [95% CI, 1.00–2.30]; 5‐day LOS, 1.76 [95% CI, 1.06–2.93]; and >5‐day LOS, 2.30 [95% CI, 1.45–3.65]).
Figure 4

Plot of 30‐day mortality according to hospital length of stay (LOS).

A, Thirty‐day readmission mortality rate in patients with anterior wall (AW) ST‐segment–elevation myocardial infarction (STEMI) (red points). B, Thirty‐day readmission mortality rate in patients with non‐AW STEMI (red points). Box plot shows total number of patients in each LOS group.

Plot of 30‐day mortality according to hospital length of stay (LOS).

A, Thirty‐day readmission mortality rate in patients with anterior wall (AW) ST‐segment–elevation myocardial infarction (STEMI) (red points). B, Thirty‐day readmission mortality rate in patients with non‐AW STEMI (red points). Box plot shows total number of patients in each LOS group. The 30‐day reinfarction rates were 4.6% in the short LOS cohort, 7.8% in the medium LOS cohort, and 10.0% in the long LOS cohort among the AW STEMI group (P<0.001), and 3.8% in the short LOS cohort, 6.1% in the medium LOS cohort, and 8.0% in the long LOS cohort among the NAW STEMI group (P<0.001). The 30‐day reinfarction rates for both the AW and the NAW STEMI groups stratified by the detailed LOS cohorts are shown in Figure 2E and 2F. The risk of adjusted 30‐day reinfarction increased progressively with increasing LOS in both the AW and the NAW STEMI groups (Figure 3). The 30‐day revascularization rates were 2.5% in the short LOS cohort, 3.0% in the medium LOS cohort, and 2.6% in the long LOS cohort among the AW STEMI group (P=0.021), and 2.7% in the short LOS cohort, 3.3% in the medium LOS cohort, and 2.7% in the long LOS cohort among the NAW STEMI group (P<0.001). The 30‐day repeat revascularization rates from more detailed stratification of LOS are shown in Figure 2G and 2H. There was no significant difference in the risk for adjusted 30‐day repeat revascularization among different LOS cohorts versus the 3‐day LOS cohort in both the AW STEMI and the NAW STEMI groups. The 30‐day MACE rates were 5.8% in the short LOS cohort, 9.5% in the medium LOS cohort, and 11.9% in the long LOS cohort among the AW STEMI group (P<0.001), and 5.0% in the short LOS cohort, 7.8% in the medium LOS cohort, and 9.9% in the long LOS cohort among the NAW STEMI group (P<0.001). The 30‐day MACE rates for both the AW and the NAW STEMI groups stratified by the detailed LOS cohorts are shown in Figure 2I and 2J. The risk of adjusted 30‐day MACE increased progressively with increasing LOS in both the AW and the NAW STEMI groups (Figure 3).

Total Costs by LOS and Predictors of Total Cost

Hospital costs over 30 days after index hospitalization after primary PCI for STEMI according to the LOS are shown in Table 3. The median cumulative costs from index hospitalization for PCI and 30‐day readmission were $20 050 (interquartile range, $15 494–$27 463) in patients with AW STEMI and $18 995 (interquartile range, $14 790–$25 787) in patients with NAW STEMI (P<0.001). The cumulative costs were also increased in the longer LOS groups compared with the very short LOS group regardless of the location of infarct (P<0.001 and P<0.001, respectively).
Table 3

Costs and Charges Over 30‐d Postindex Hospitalization After STEMI Stratified by the Location of Infarct

OutcomesOverallLOS 1 to 2 dLOS 3 dLOS 4 dLOS 5 dLOS >5 d P Valuea
AWMI
Patients, No.187 55664 09853 23426 28413 94729 993
Charge (index PCI), $66 879 (48 942–96 268)b 56 799 (42 817–77 204)61 581 (46 908–83 214)69 536 (52 388–97 494)79 591 (59 316–112 784)110 719 (78 640–159 337)<0.001
Cumulative charges (index PCI+30‐d readmission), $69 617 (50 272–102 446)58 425 (43 741–80 277)64 619 (47 942–87 767)72 866 (54 208–103 595)84 665 (61 701–120 650)118 599 (83 336–172 750)<0.001
Cost (index PCI), $19 307 (15 150–25 711)16 501 (13 377–20 710)18 166 (14 782–22 651)20 313 (16 329–26 019)22 821 (18 146–29 422)31 425 (23 511–42 431)<0.001
Cumulative costs (index PCI+30‐d readmission), $20 050 (15 494–27 463)16 899 (13 609–21 627)18 689 (15 069–23 809)21 224 (16 890–27 804)24 210 (19 049–31 868)33 581 (24 883–46 152)<0.001
Non‐AWMI
No. of patients351 961161 33297 33136 76017 94738 591
Charge (index PCI), $64 020 (47 024–91 562)55 873 (42 255–75 033)61 566 (46 898–83 430)73 157 (54 312–102 146)84 796 (63 283–118 509)119 856 (84 845–171 422)<0.001
Cumulative charges (index PCI+30‐d readmission), $66 174 (48 057–96 916)57 370 (43 023–78 032)63 462 (47 871–87 824)76 762 (55 959–109 101)90 277 (66 028–127 599)126 772 (89 184–184 904)<0.001
Cost (index PCI), $18 413 (14 506–24 358)16 288 (13 201–20 329)18 049 (14 630–22 707)20 749 (16 520–26 712)23 668 (18 782–30 667)33 339 (24 581–45 087)<0.001
Cumulative costs (index PCI+30‐d readmission), $18 995 (14 790–25 787)16 676 (13 411–21 068)18 576 (14 914–23 869)21 661 (16 992–28 570)25 055 (19 562–33 109)35 390 (25 985–48 214)<0.001

AWMI indicates anterior wall myocardial infarction; LOS, length of stay; PCI, percutaneous coronary intervention; and STEMI, ST‐segment–elevation myocardial infarction.

Mann–Whitney–Wilcoxon test was used in all comparisons.

All values are shown as a median (interquartile range).

Costs and Charges Over 30‐d Postindex Hospitalization After STEMI Stratified by the Location of Infarct AWMI indicates anterior wall myocardial infarction; LOS, length of stay; PCI, percutaneous coronary intervention; and STEMI, ST‐segment–elevation myocardial infarction. Mann–Whitney–Wilcoxon test was used in all comparisons. All values are shown as a median (interquartile range). From the multivariable hierarchical regression analysis, very short LOS was found to be associated with a 4.3% decrease in 30‐day total cost in the AW STEMI group and a 5.0% decrease in the NAW STEMI group versus 3‐day LOS. Among patients with AW STEMI, 4‐day LOS, 5‐day LOS, and >5‐day LOS were all found to be associated with increased total costs (4.7%, 8.6%, and 19.0% increase, respectively; P<0.001 for all) versus 3‐day LOS (Table 4). Similarly, 4‐day LOS, 5‐day LOS, and >5‐day LOS were associated with increased total costs (5.8%, 10.7%, and 22.3% increase, respectively; P<0.001 for all) compared with 3‐day LOS in the NAW STEMI cohort. The 30‐day readmission was a significant predictor of increased total costs in both the AW STEMI group (17.5% increase, P<0.001) and the NAW STEMI group (18.7% increase, P<0.001).
Table 4

Multivariate Regression Analysis to Assess the Association of LOS on Total Cost in Patients With STEMI Stratified by the Location of Infarct

VariableAW STEMINon‐AW STEMI
Betaa 95% CI P ValueBetaa 95% CI P Value
LOS (reference: 3 d)
1 to 2 d−0.043−0.049 to −0.037<0.001−0.050−0.055 to −0.046<0.001
4 d0.0470.043–0.052<0.0010.0580.055–0.062<0.001
5 d0.0860.080–0.091<0.0010.1070.102–0.112<0.001
>5 d0.1900.185–0.196<0.0010.2230.218–0.228<0.001
30‐d readmission0.1750.170–0.180<0.0010.1870.183–0.191<0.001
Age (reference: <50), y
50 to 640.0060.003–0.0100.0010.0070.004–0.010<0.001
>640.0070.002–0.0130.0060.0100.006–0.014<0.001
Women (reference: men)−0.018−0.021 to −0.015<0.001−0.019−0.022 to −0.017<0.001
Diabetes mellitus0.0040.001–0.0070.0120.0050.002–0.007<0.001
Dyslipidemian/s0.0040.001–0.0070.014
Previous MI0.0090.004–0.0150.001n/s
Known coronary artery disease0.0080.002–0.0130.0050.0080.003–0.0120.001
Peripheral vascular disease0.0100.004–0.0160.0020.0050.001–0.0090.017
Chronic kidney diseasen/s−0.010−0.015 to −0.006<0.001
Anemia0.0060.001–0.0120.030n/s
Coagulopathy0.0310.023–0.040<0.0010.0290.022–0.036<0.001
Drug abuse0.0120.003–0.0200.006n/s
Fluid/electrolyte disorders0.0120.007–0.017<0.0010.0110.007–0.016<0.001
Obesity0.0130.008–0.018<0.0010.0100.006–0.013<0.001
Cardiogenic shock0.0290.022–0.036<0.0010.0290.024–0.035<0.001
Cardiac arrest0.0500.042–0.057<0.0010.0370.031–0.043<0.001
IABP0.0770.071–0.084<0.0010.0800.073 to 0.087<0.001
PLVAD0.2880.262–0.314<0.0010.2910.267–0.314<0.001
Weekend admissionn/s0.0050.003–0.008<0.001
Median household income (reference: first quartile)
Second quartile0.0200.014–0.025<0.0010.0210.015–0.026<0.001
Third quartile0.0380.030–0.045<0.0010.0350.028–0.041<0.001
Fourth quartile0.0640.055–0.074<0.0010.0640.055–0.073<0.001
Primary payer (reference: Medicare)
Medicaid0.0180.010–0.025<0.0010.0110.005–0.017<0.001
Private0.0150.010–0.020<0.0010.0140.010–0.017<0.001
Self‐pay/no charge/others0.002−0.004 to 0.0080.568−0.002−0.007 to 0.0030.534
Hospital bed size (reference: small)
Medium−0.023−0.050 to 0.0030.078−0.018−0.043 to 0.0070.156
Large−0.033−0.059 to −0.0080.011−0.031−0.056 to −0.0070.013
Disposition (reference: home)
Facility0.0170.011–0.022<0.0010.0100.006–0.015<0.001
AMA/unknown−0.010−0.029 to 0.0080.261−0.009−0.021 to −0.0030.140
Year (per y)0.0080.003–0.0140.0040.0080.003–0.0130.004

AMA indicates against medical advice; AW, anterior wall; IABP, intra‐aortic balloon pump; LOS, length of stay; MI, myocardial infarction; PLVAD, percutaneous left ventricular assist device; and STEMI, ST‐segment–elevation myocardial infarction.

Survey‐specific multivariate linear regression model was created with an outcome of log‐transformed cumulative cost including all predictors with P<0.1 in the univariate analysis. Hospital ID was also included as a covariable for consideration of hospital fixed‐year effect (insignificant contribution, not shown).

Multivariate Regression Analysis to Assess the Association of LOS on Total Cost in Patients With STEMI Stratified by the Location of Infarct AMA indicates against medical advice; AW, anterior wall; IABP, intra‐aortic balloon pump; LOS, length of stay; MI, myocardial infarction; PLVAD, percutaneous left ventricular assist device; and STEMI, ST‐segment–elevation myocardial infarction. Survey‐specific multivariate linear regression model was created with an outcome of log‐transformed cumulative cost including all predictors with P<0.1 in the univariate analysis. Hospital ID was also included as a covariable for consideration of hospital fixed‐year effect (insignificant contribution, not shown).

Discussion

In this large, contemporary, all‐payer observational analysis of the NRD, we have presented several noteworthy findings for patients with STEMI who underwent primary PCI. First, very short LOS after primary PCI for STEMI was associated with significantly less 30‐day readmission with reduced overall costs compared with more traditional, longer LOS in all STEMI groups. Second, very short LOS appeared to be associated with higher 30‐day readmission mortality rate compared with an LOS of at least 3 days in patients with AW STEMI, while very short LOS was associated with similar 30‐day readmission mortality to 3‐day LOS in patients with NAW STEMI. Third, rates of 30‐day reinfarction, repeat revascularization rate, and MACE were the lowest in the very short LOS cohort. Reducing hospital LOS has become a top priority in the past decade for our healthcare systems in the United States.21, 22 Hospitalization with an average LOS of 4.5 days is estimated to cost the healthcare industry $377.5 billion annually, and longer LOS has contributed greatly to these rising healthcare costs.23 Optimizing and reducing LOS improves financial, operational, and clinical outcomes by preventing unnecessary hospital stays and decreasing the costs of care for a patient in various conditions.24, 25 With recent advances in medical therapy and various therapeutic modalities, outcomes after STEMI have steadily improved over the past several years.1, 26 With improving outcomes, there has been a growing interest in shortening LOS and assessing feasibility of early discharge after primary PCI for STEMI.27, 28 We previously reported that short LOS (1–3 days) resulted in similar 30‐day outcomes compared with medium LOS (4–5 days) after primary PCI for STEMI in the Medicare population using the NCDR (National Cardiovascular Data Registry) from 2004 to 2009.9 However, very short LOS (1–2 days) was associated with worse 30‐day mortality and 30‐day MACE in this elderly population. In the current study, analyzing all comers, including younger population with more contemporary data from 2010 to 2014, we demonstrated that very short hospital stay is associated with significantly less 30‐day readmission as well as 30‐day MACE including reinfarction and repeat revascularization. Shorter LOS and lower readmission rates were associated with 4.3% to 5.0% reduction in overall costs compared with more traditional ≥3 day LOS. However, very short LOS in AW STEMI was associated with an ≈2‐fold increase in 30‐day mortality, while very short LOS was not associated with any increase in adverse outcomes in the NAW STEMI group. In fact, very short LOS was associated with 13% reduction in readmission rates and an ≈5.0% reduction in overall costs in comparison to 3‐day LOS in the NAW STEMI cohort. Our data emphasize that a very early discharge strategy for low‐risk patients can be safe and feasible, especially in those with NAW STEMI. However, more careful assessment is necessary for patients with AW STEMI before opting for very early discharge. Once patients with AW STEMI are readmitted after a very short LOS during the index hospitalization, they may need closer attention with their medical care as our study demonstrates a higher 30‐day mortality rate once they are readmitted. Our finding is not surprising given the increased likelihood of developing heart failure, left ventricular thrombus, and other complications including ventricular septal wall defect and free wall rupture, with AW STEMI because of larger territory involved.29, 30 This group of patients may require more time to optimize the medications, especially for potentially newly developed heart failure with reduced ejection fraction. Despite recent studies demonstrating the safety of very early discharge after PCI,6, 7, 8, 9, 31 a significant portion of patients stay in the hospital ≥3 days in the real world as demonstrated in our study (58.2%). Studies performed before modernization of pharmacotherapy and interventional therapy have demonstrated risks of potential subacute complications up to 72 hours after STEMI,32 which has become a foundation of our clinical practice for many years. However, recent studies including the current one demonstrate the safety of early discharge in certain low‐risk cohorts. A recent increase in the adoption of radial access certainly has contributed to a significant decrease in access site complications and bleeding risk,33 which, in turn, may contribute to improving in‐hospital outcomes with shorter LOS.33, 34, 35, 36 With a recent study showing a significant increase of transradial PCI from 2010 to 2012 in the United States,37, 38 reduced readmission in the very short LOS cohort in our study may partially reflect more contemporary data in the current era of transradial PCI. Since the implementation of the HRRP, there have been some controversies on the association of reduction in readmission rates and its impact on overall mortality.39, 40 A study comprising Medicare beneficiaries with heart failure demonstrated that the implementation of the HRRP was associated with an 0.5% increase in 30‐day mortality.41, 42 Some studies have shown that 30‐day readmission rate has a poor or even an inverse relationship with 30‐day mortality.43, 44 Pandey et al45 demonstrated that the 30‐day risk‐adjusted readmission rates after acute myocardial infarction were not associated with 1‐year mortality. In addition, Dharmarajan et al46 reported that the reduction in 30‐day readmission rate did not correlate with higher 30‐day mortality rate in Medicare beneficiaries hospitalized for acute myocardial infarction. The inverse relationship of 30‐day readmission and 30‐day mortality in the AW STEMI group with very short LOS in our study demonstrates that 30‐day readmission rate may not be the best metric for quality of care, especially for AW STEMI. More detailed studies are necessary to tease out the features that may predispose certain patients with STEMI who would be at risk of worse outcomes with very early discharge. Last, our study demonstrated that the total cumulative costs are the lowest in the very short LOS group in both the patients with AW and NAW STEMI, mostly as a result of significantly less index hospitalization cost with similar or fewer readmissions. Identifying proper cohorts with less likelihood of readmission despite shortening the LOS remains an important goal for future studies.

Study Limitations

The present study has the limitations inherent to nonrandomized observational studies. First, the data from the NRD include the sample designed to approximate the national distribution of representative hospital characteristics. Our study cohort was derived from approximately half sample of US hospitals, and as a result the study cohort can be either underrepresented or overrepresented by the sample. Our results cannot be considered completely generalizable among all states in the United States since the NRD includes only 22 states in the United States. However, there have been numerous publications utilizing the NRD that validate the sampling design.15, 47, 48 Second, the study cohort from a large administrative data set can be subject to coding bias or possibly missing events or variables. Nevertheless, many studies have proven the validity of using administrative databases for risk‐adjusted outcome evaluation.47, 49, 50 Third, some of the clinical parameters including vital signs (eg, blood pressure and heart rate), echocardiographic parameters (eg, ejection fraction), laboratory findings (eg, troponin‐I and brain natriuretic peptide), or medications (eg, antiplatelets and heart failure medications) are not available for analysis in the NRD. Our study is intended to generate a hypothesis, and future studies are necessary to confirm our findings with more detailed information. Fourth, although we performed an appropriate statistical approach using validated risk models, there is no way to eliminate bias from the influence of unmeasured confounders given that the NRD is based on ICD‐9‐CM codes. Fifth, our study did not differentiate between STEMI with emergent PCI versus STEMI with delayed PCI during hospitalization. In addition, some of the readmissions may be attributable to staged PCI procedures, but the limitation of the database does not allow identification of these admissions. Sixth, our cost analyses did not consider the effects of differential mortality among different LOS cohorts. Finally, our 30‐day mortality rate does not account for out‐of‐hospital deaths, which may underestimate the overall mortality rate.

Conclusions

This study examined short‐term clinical outcomes and total costs according to LOS after STEMI stratified by the location of infarct. Our data show that very early discharge after primary PCI is safe and less costly in low‐risk patients, especially those with NAW STEMI. For those with AW STEMI, care needs to be taken before opting for very early discharge given the potential increase in 30‐day mortality. Very short LOS is associated with fewer readmissions, but if patients are readmitted, 30‐day mortality is higher in those with AW STEMI. Further studies to better identify proper cohorts of patients with STEMI who are suitable for a very early discharge strategy are warranted. These efforts will hopefully lead to reduction in overall cost and improvement in overall quality and efficiency of care for patients with STEMI.

Sources of Funding

This work was supported by grants from the Michael Wolk Heart Foundation; the New York Cardiac Center, Inc; and the Weill Cornell Medical Center Alumni Council. The Michael Wolk Heart Foundation; the New York Cardiac Center, Inc; and the Weill Cornell Medical Center Alumni Council had no role in the design and conduct of the study; in the collection, analysis, and interpretation of the data; or in the preparation, review, or approval of the article.

Disclosures

None. Tables S1–S8 Click here for additional data file.
  41 in total

1.  Safely and effectively reducing inpatient length of stay: a controlled study of the General Internal Medicine Care Transformation Initiative.

Authors:  Finlay A McAlister; Jeffrey A Bakal; Sumit R Majumdar; Stafford Dean; Rajdeep S Padwal; Narmin Kassam; Maria Bacchus; Ann Colbourne
Journal:  BMJ Qual Saf       Date:  2013-10-09       Impact factor: 7.035

2.  Association of US Centers for Medicare and Medicaid Services Hospital 30-Day Risk-Standardized Readmission Metric With Care Quality and Outcomes After Acute Myocardial Infarction: Findings From the National Cardiovascular Data Registry/Acute Coronary Treatment and Intervention Outcomes Network Registry-Get With the Guidelines.

Authors:  Ambarish Pandey; Harsh Golwala; Hurst M Hall; Tracy Y Wang; Di Lu; Ying Xian; Karen Chiswell; Karen E Joynt; Abhinav Goyal; Sandeep R Das; Dharam Kumbhani; Howard Julien; Gregg C Fonarow; James A de Lemos
Journal:  JAMA Cardiol       Date:  2017-07-01       Impact factor: 14.676

3.  Randomized trial of a noninvasive strategy to reduce hospital stay for patients with low-risk myocardial infarction.

Authors:  P Bogaty; S Dumont; G E O'Hara; L Boyer; L Auclair; J Jobin; J R Boudreault
Journal:  J Am Coll Cardiol       Date:  2001-04       Impact factor: 24.094

4.  Association of the Hospital Readmissions Reduction Program Implementation With Readmission and Mortality Outcomes in Heart Failure.

Authors:  Ankur Gupta; Larry A Allen; Deepak L Bhatt; Margueritte Cox; Adam D DeVore; Paul A Heidenreich; Adrian F Hernandez; Eric D Peterson; Roland A Matsouaka; Clyde W Yancy; Gregg C Fonarow
Journal:  JAMA Cardiol       Date:  2018-01-01       Impact factor: 14.676

5.  Temporal trends in the practice of the transradial approach for percutaneous coronary intervention in a large tertiary center.

Authors:  Leor Perl; Tamir Bental; Abid Assali; Hana Vaknin-Assa; Gabriel Greenberg; Guy Witberg; Ran Kornowski
Journal:  Coron Artery Dis       Date:  2020-01       Impact factor: 1.439

6.  The Hospital Readmission Reduction Program Is Associated With Fewer Readmissions, More Deaths: Time to Reconsider.

Authors:  Gregg C Fonarow; Marvin A Konstam; Clyde W Yancy
Journal:  J Am Coll Cardiol       Date:  2017-10-10       Impact factor: 24.094

7.  Prevalence and outcomes of same-day discharge after elective percutaneous coronary intervention among older patients.

Authors:  Sunil V Rao; Lisa A Kaltenbach; William S Weintraub; Matthew T Roe; Ralph G Brindis; John S Rumsfeld; Eric D Peterson
Journal:  JAMA       Date:  2011-10-05       Impact factor: 56.272

8.  Association between bleeding events and in-hospital mortality after percutaneous coronary intervention.

Authors:  Adnan K Chhatriwalla; Amit P Amin; Kevin F Kennedy; John A House; David J Cohen; Sunil V Rao; John C Messenger; Steven P Marso
Journal:  JAMA       Date:  2013-03-13       Impact factor: 56.272

9.  Adoption of radial access and comparison of outcomes to femoral access in percutaneous coronary intervention: an updated report from the national cardiovascular data registry (2007-2012).

Authors:  Dmitriy N Feldman; Rajesh V Swaminathan; Lisa A Kaltenbach; Dmitri V Baklanov; Luke K Kim; S Chiu Wong; Robert M Minutello; John C Messenger; Issam Moussa; Kirk N Garratt; Robert N Piana; William B Hillegass; Mauricio G Cohen; Ian C Gilchrist; Sunil V Rao
Journal:  Circulation       Date:  2013-06-11       Impact factor: 29.690

10.  Thirty-Day Readmission Rates, Timing, Causes, and Costs after ST-Segment-Elevation Myocardial Infarction in the United States: A National Readmission Database Analysis 2010-2014.

Authors:  Luke K Kim; Ilhwan Yeo; Jim W Cheung; Rajesh V Swaminathan; S Chiu Wong; Konstantinos Charitakis; Oluwayemisi Adejumo; John Chae; Robert M Minutello; Geoffrey Bergman; Harsimran Singh; Dmitriy N Feldman
Journal:  J Am Heart Assoc       Date:  2018-09-18       Impact factor: 5.501

View more
  5 in total

Review 1.  Readmission After ACS: Burden, Epidemiology, and Mitigation.

Authors:  Peter K Boulos; John C Messenger; Stephen W Waldo
Journal:  Curr Cardiol Rep       Date:  2022-04-30       Impact factor: 3.955

2.  Trends in Coded Indications for Percutaneous Coronary Interventions in Medicare and the Veterans Affairs After Implementation of Hospital-Level Reporting of Appropriate Use Criteria.

Authors:  Elias J Dayoub; Ashwin S Nathan; Sameed Ahmed M Khatana; Rishi K Wadhera; Daniel M Kolansky; Robert W Yeh; Jay Giri; Peter W Groeneveld
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2021-03-15

3.  Estimating the economic impact of acute coronary syndrome in New Zealand over time (ANZACS-QI 64): a national registry-based cost burden study.

Authors:  Peter Lee; A J Kerr; Yannan Jiang; Ella Zomer; Danny Liew
Journal:  BMJ Open       Date:  2022-08-01       Impact factor: 3.006

4.  ST-Segment-Elevation Myocardial Infarction Care in America: Celebration and Anxiety.

Authors:  Kirk N Garratt
Journal:  J Am Heart Assoc       Date:  2020-05-29       Impact factor: 5.501

5.  Associations Between Hospital Length of Stay, 30-Day Readmission, and Costs in ST-Segment-Elevation Myocardial Infarction After Primary Percutaneous Coronary Intervention: A Nationwide Readmissions Database Analysis.

Authors:  Sun-Joo Jang; Ilhwan Yeo; Dmitriy N Feldman; Jim W Cheung; Robert M Minutello; Harsimran S Singh; Geoffrey Bergman; S Chiu Wong; Luke K Kim
Journal:  J Am Heart Assoc       Date:  2020-05-29       Impact factor: 5.501

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.