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. Author manuscript; available in PMC: 2019 Sep 23.
Published in final edited form as: Am J Med. 2014 Dec 30;128(7):715–721. doi: 10.1016/j.amjmed.2014.11.036

Beta-Blocker Use and 30-Day All-Cause Readmission in Medicare Beneficiaries with Systolic Heart Failure

Vikas Bhatia a,b, Navkaranbir S Bajaj a,b, Kumar Sanam a, Taimoor Hashim a, Charity J Morgan a, Sumanth D Prabhu a,b, Gregg C Fonarow c, Prakash Deedwania d, Javed Butler e, Peter Carson f, Thomas E Love g, Raya Kheirbek f, Wilbert S Aronow h, Stefan D Anker i, Finn Waagstein j, Ross Fletcher g, Richard M Allman k, Ali Ahmed a,b
PMCID: PMC6756434  NIHMSID: NIHMS652151  PMID: 25554369

Abstract

BACKGROUND:

Beta-blockers improve outcomes in patients with systolic heart failure. However, it is unknown whether their initial negative inotropic effect may increase 30-day all-cause readmission, a target outcome for Medicare cost reduction and financial penalty for hospitals under the Affordable Care Act.

METHODS:

Of the 3067 Medicare beneficiaries discharged alive from 106 Alabama hospitals (1998-2001) with a primary discharge diagnosis of heart failure and ejection fraction (EF) <45%, 2202 were not previously on beta-blocker therapy, of which 383 received new discharge prescriptions for beta-blockers. Propensity scores for beta-blocker use, estimated for each of the 2202 patients, were used to assemble a matched cohort of 380 pairs of patients receiving and not receiving beta-blockers who were balanced on 36 baseline characteristics (mean age 73 years, mean EF 27%, 45% women, 33% African American)

RESULTS:

Beta-blocker use was not associated with 30-day all-cause readmission (hazard ratio {HR}, 0.87; 95% confidence interval {CI}, 0.64-1.18) or heart failure readmission (HR, 0.95; 95% CI, 0.57-1.58)., but was significantly associated with lower 30-day all-cause mortality (HR, 0.29; 95% CI, 0.12-0.73). During 4-year post-discharge, those in the beta-blocker group had lower mortality (HR, 0.81; 95% CI, 0.67-0.98) and combined outcome of all-cause mortality or all-cause readmission (HR, 0.87; 95% CI, 0.74-0.97) but not with all-cause readmission (HR, 0.89; 95% CI, 0.76-1.04).

CONCLUSIONS:

Among hospitalized older patients with systolic heart failure, discharge prescription of beta-blockers was associated with lower 30-day all-cause mortality and 4-year combined death or readmission outcomes without higher 30-day readmission.

Keywords: Systolic heart failure, Older adults, Beta blockers, Hospitalization, Readmission


Heart failure is a leading cause of hospital readmission for Medicare beneficiaries, many of which are considered potentially preventable.1,2 The Affordable Care Act, the new United States healthcare reform law, has identified 30-day all-cause readmission in hospitalized Medicare beneficiaries aged ≥65 years as a target outcome for reduction of Medicare costs. It is projected that hospitals may collectively lose about $7 billion over next 10 years for above-average 30-day all-cause readmission. In patients with systolic heart failure, beta-blockers reduce mortality and hospitalization in the randomized controlled trial setting,3,4 and their use has been associated with lower risk of one-year mortality and readmission in the post-discharge setting.5 However, beta-blockers have an early transient negative inotropic effect and concern remains that discharge initiation of these drugs in hospitalized patients with heart failure and reduced ejection fraction may adversely affect short-term outcomes and this has lately been heightened by the focus on 30-day all-cause hospital readmission in the Affordable Care Act. Therefore, the objective of the current study was to examine the association of discharge initiation of beta blockers with 30-day all-cause hospital readmission in hospitalized systolic heart failure patients.

MATERIALS AND METHODS

Data Source and Study Patients

We used the Alabama Heart Failure Project data for the current study, the details of which have been described previously.6 Briefly, medical records of fee-for-service Medicare beneficiaries discharged with a principal diagnosis of heart failure from 106 Alabama hospitals between July 1, 1998 and October 31, 2001 were identified.69 A diagnosis of heart failure was based on the International Classification of Diseases, 9th Revision, Clinical Modification, codes for heart failure. Copies of the 9649 charts were abstracted by trained technicians who directly entered data into a computer database. The 9649 hospitalizations occurred in 8555 unique patients. For patients with multiple hospitalizations, charts from the first hospitalization were used. The selected medical records were then transferred from participating hospitals to the Central Clinical Data Abstraction Centers (CDAC) where trained technicians abstracted data from charts directly into a computer database using a data collection tool programmed by MedQuest Software. CDAC ensured reliability of the abstraction process through internal and external re-abstractions of 40 charts monthly. Reliability findings demonstrated agreement values >80% and Kappa values >0.60.6

New Use of Beta-Blockers: Assembly of an Inception Cohort

Of the 8555 patients, 8049 were discharged alive, of these, 5479 (68%) had data on left ventricular ejection fraction, of which 3067 (68%) had ejection fraction <45%. Of these 3067 patients, 2202 (72%) were not on beta-blockers at admission. Of these, 383 (17%) received a discharge prescription for beta-blocker. Extensive data on baseline demographics, medical history including use of medications, hospital course, discharge disposition including medications, and physician specialty were collected.

Propensity Matching: Assembly of a Balanced Cohort

Because of the imbalances in baseline characteristics between patients receiving and not receiving beta-blockers (Table 1), we used propensity scores to assemble a cohort of patients in which those receiving and not receiving these drugs would be well-balanced on measured baseline characteristics.1014 We began by estimating propensity scores or probability of receiving discharge prescription of beta-blockers for each of the 2202 patients using 36 measured baseline characteristics displayed in Figure 1. Using a greedy matching protocol, we were able to match 380 of the 383 patients receiving beta-blockers with 380 patients not receiving these drugs who had similar propensity scores.1517 We then estimated absolute standardized differences of the 36 measured covariates for the two treatment groups, and presented the percentages of pooled standard deviations as Love plots. 1821 An absolute standardized difference of 0% indicates no residual bias and differences <10% are considered inconsequential.

Table 1.

Baseline characteristics of Medicare beneficiaries hospitalized for heart failure and ejection fraction <45, not receiving prior betta-blocker therapy, by the receipt of a new discharge prescription for beta-blockers, before and after propensity score matching

Variables Mean ± SD or n (%) Pre-match (N=2202) Post-match (N=760)

Beta blocker on discharge
P value Beta blocker on discharge
P value
No (n=1819) Yes (n=383) No (n=380) Yes (n=380)
Age (years) 75 (±11) 73 (±11) 0.004 73 (±11) 73(±11) 0.974
Female 855 (47) 172 (45) 0.455 166 (44) 171 (45) 0.770
African American 470 (26) 126 (33) 0.005 127 (33) 125 (33) 0.939
Admission from nursing homes 83 (5) 15 (4) 0.577 13 (3) 15 (4) 0.845
Smoking 257 (14) 65 (17) 0.152 61 (16) 65 (17) 0.770
Ejection fraction (%) 28 (±9) 27 (±8) 0.008 27 (±9) 27 (±9) 0.391
Past medical history
 Prior heart failure 1367 (75) 250 (65) <0.001 250 (66) 248 (65) 0.939
 Hypertension 1204 (66) 276 (72) 0.026 273 (72) 273 (72) 1.000
 Coronary artery disease 1110 (61) 218 (57) 0.136 208 (55) 215(57) 0.661
 Prior myocardial infarction 541 (30) 97 (25) 0.940 >104 (27) 97 (26) 0.622
 Angina pectoris 222 (12) 78 (20) <0.001 69 (18) 75(20) 0.644
 Diabetes mellitus 791 (44) 181 (47) 0.177 185 (49) 179 (47) 0.717
 Percutaneous coronary intervention 253 (14) 49 (13) 0.624 40(11) 49(13) 0.367
 Coronary artery bypass surgery 538 (30) 113 (30) 1.000 105 (28) 112(30) 0.630
 Stroke 341 (19) 73 (19) 0.887 70 (18) 73 (19) 0.853
 Chronic obstructive pulmonary disease 684 (38) 113 (30) 0.003 105 (28) 113 (30) 0.575
 Dementia 158 (9) 20 (5) 0.024 16 (4) 20 (5) 0.609
 Cancer 52 (3) 10 (3) 0.790 12 (3) 10 (3) 0.829
 Atrial fibrillation 516 (28) 88 (23) 0.032 49 (23) 51 (23) 0.931
 Left bundle branch block 409 (23) 73 (19) 0.141 62 (16) 73 (19) 0.343
 Pneumonia 477 (26) 100 (26) 1.000 96 (25) 99 (26) 0.868
Clinical findings
 Pulse (beats/minute) 94 (±22) 96 (±23) 0.104 97 (±22) 97 (±24) 0.775
 Systolic blood pressure (mmHg) 144 (±30) 148 (±31) 0.056 151 (±31) 149 (±31) 0.508
 Respiration (breaths/minute) 24 (±6) 25 (±7) 0.114 24 (±6) 25 (±7) 0.605
 Pulmonary edema by chest x-ray 1305 (72) 262 (68) 0.190 266 (70) 260 (68) 0.694
Tests and procedures
 Serum creatinine (mEq/L) 1.6 (±1) 1.6 (±1) 0.819 1.7 (±1) 1.6(±1) 0.272
 Glomerular filtration rate (ml s/min/1.73m2) 54 (±24) 57 (±25) 0.047 56 (±27) 57 (±25) 0.798
In-hospital events
 Acute myocardial infarction 103 (6) 26 (7) 0.394 25 (7) 26 (7) 1.000
 Pneumonia 477 (26) 100 (26) 0.963 84 (22) 98 (26) 0.268
 Pressure ulcer 163 (9) 28 (7) 0.319 30 (8) 28 (7) 0.891
Hospital and care characteristics
 Rural hospital 410 (23) 75 (20) 0.204 78 (21) 75 (21) 0.856
 Cardiology care 1191 (66) 307 (80) <0.001 308 (81) 304 (80) 0.784
 Intensive care unit stay 75 (4) 19 (5) 0.461 17 (5) 18 (5) 1.000
 Length of stay (days) 7 (±5) 8 (±5) 0.009 8 (±7) 8 (±5) 0.929
Discharge medications
 Renin-angiotensin inhibitors 1224 (67) 286 (75) 0.005 282 (74) 283 (75) 1.000
 Digoxin 1037 (57) 221 (58) 0.803 225 (59) 218 (57) 0.670
 Loop diuretics 1567 (86) 322 (84) 0.291 317 (83) 319 (84) 0.922
 Potassium-sparing diuretics 345(19) 91 (24) 0.032 88 (23) 89 (23) 1.000
 Potassium supplement 865 (48) 144 (38) <0.001 146 (38) 143 (38) 0.881
 Hydralazine and nitrate 73 (4) 15 (4) 1.000 18 (5) 15(4) 0.722
 Antiarrhythmics 293 (16) 51 (13) 0.188 43 (11) 51 (13) 0.441

Figure 1.

Figure 1

Absolute standardized differences comparing 36 baseline characteristics between patients receiving and not receiving discharge prescription of Beta-blocker, before and after propensity score matching (ACE=angiotensin-converting enzyme, ARB=angiotensin receptor blockers, COPD=Chronic obstructive pulmonary disease)

Outcomes

The primary outcome of the current analysis was 30 day all-cause hospitalization. Secondary outcomes included all-cause mortality, heart failure hospitalizations and the combined end point of all-cause readmission or all-cause mortality. Time to all outcomes started from the date of discharge from the index hospitalization. Data on outcomes and time to events were obtained from the Centers for Medicare and Medicaid Services Denominator File, Medicare Provider Analysis and Review File and Inpatient Standard Analytical File.

Statistical Analysis

For descriptive analyses, we used Pearson Chi square and Wilcoxon rank-sum tests for comparisons. Kaplan-Meier plots and Cox regression analyses were used to determine the associations of discharge initiation of beta-blocker therapy with 30-day all-cause readmission. We repeated the Cox model for other outcomes at 30 days and 4 years post-discharge. All outcomes analyses were based on matched cohort. All statistical tests were two-tailed with a p-value <0.05 considered significant. Statistical analyses were performed using SPSS-22 for Windows (IBM Corp. 2013. IBM SPSS Statistics for Windows, Armonk, NY).

Results

Baseline Characteristics

Matched patients had a mean age (±SD) of 73 (±11) years, 44% were women, and 33% were African American. Pre-match imbalances in the distribution of age, race, history of prior heart failure, comorbidities and treatment between patients receiving and not receiving beta blockers were well-balanced after matching (Table 1 and Figure 1).

Beta-Blocker Use and 30-Day All-Cause Readmission

30-day all-cause hospital readmission occurred in 20% and 23% of matched patients receiving and not receiving beta-blockers, respectively (hazard ratio {HR} when beta-blocker use is compared with their non-use, (hazard ratio {HR}, 0.87; 95% confidence interval {CI}, 0.64–1.18; p=0.337; Table 2). Beta-blocker use also had no association with heart failure readmission – occurring in 8% of matched patients receiving and not receiving beta-blockers, (HR 0.95; 95% CI, 0.57–1.58; Table 2).

Table 2.

Association between a new discharge prescription for beta-blocker and 30-day post-discharge outcomes in a propensity-matched cohort of Medicare beneficiaries hospitalized for heart failure

(events)
Outcomes New discharge prescription for beta-blocker
Absolute risk diff.* Hazard ratio (95 confidence interval)
No (n=380) %,N Yes (n=380) %,N
All-cause hospital readmission 23 (86) 20 (77) −3 0.87 (0.64–1.18); p=0.377
Heart failure readmission 8 (30) 8 (29)   0 0.95 (0.57–1.58); p=0.837
All-cause mortality 5(20) 2(6) −3 0.29 (0.12–0.73); p=0.008
All-cause mortality or all-cause readmission 26 (97) 21 (81) −5 0.81 (0.60–1.09); p=0.166
*

Absolute risk differences(%) were calculated by subtracting percent events in patients receiving no beta-blocker from those receiving those drugs

The hazard ratios compared patients receiving beta-blocker versus those not receiving beta-blocker. These hazard ratios were calculated by treating patients without events during the first 30 days as censored

Other Outcomes

There were only 26 (3.5%) deaths during the first 30 days of post-discharge follow-up. All-cause mortality occurred in 2% and 5% of those receiving and not receiving beta blockers, respectively (HR, 0.29; 95% CI, 0.12–0.73). When stratified by EF< 20 patients, all cause readmission occurred in 12% vs 23% of those receiving beta blockers vs not receiving beta blockers,(HR,0.5;95% CI,0.20–1.24). Combined outcome of 30 day all cause readmission and allcause mortality occurred in 21 % and 26 % of those receiving and not receiving discharge prescription of beta blockers, respectively (HR, 0.81; 95% CI, 0.60–1.09; p-0.166; Figure 2 and Table 2). This latter association did not vary between patients with EF <20% or 20–44%.

Figure 2.

Figure 2

Kaplan-Meier plots for combined end point of 30-day all-cause readmission or all-cause mortality in a propensity-matched cohort of patients with heart failure and ejection fraction <45%, receiving and not receiving a new discharge prescription for beta-blocker (CI=confidence interval)

Beta-blocker use had no significant association with all-cause or heart failure readmission during 4 years post-discharge. However, there was significant reduction in both all-cause mortality (HR, 0.81; 95% CI, 0.67–0.98) and the combined outcome of all-cause readmission or all-cause mortality (HR, 0.86; 95% CI, 0.74–0.97) during 4 years after hospital discharge.

Discussion

Findings from the current study demonstrate that a discharge prescription for beta-blocker was associated with a significantly lower risk of 30-day and 4-year all-cause mortality without significantly increasing the risk of 30-day all-cause or heart failure readmissions. The use of beta-blockers was also associated with a similar lower risk of the combined end point of all-cause readmission or all-cause mortality at 30 days and 4 years; however, only the 4-year association was statistically significant, likely due to higher events. These results, based on a rigorously conducted study, using an inception-cohort propensity-matched design suggest that hospitalized older patients with systolic heart failure may be prescribed beta-blockers without concerns for adversely affecting 30-day all-cause readmission, an outcome with financial implications for nation’s hospitals.

Findings from laboratory animals and human studies suggest that beta-blockers prevent and reverse maladaptive ventricular remodeling in heart failure,22,23 which explain their beneficial effect on heart failure hospitalization and heart failure death.3,4 However, this effect of beta-blockers may not be apparent until after one month of therapy,24 which may in part explain the lack of association between beta-blocker use and lower 30-day readmissions. Further, the early beneficial effect of beta-blockers on disease progression and symptoms may also have been attenuated by the negative inotropic effects of these drugs. Older heart failure patients often restrict their physical activity to avoid symptoms and hospitalization.25 If more symptomatic patients in the non-beta-blocker group avoided symptoms by restricting mobility they are less likely to be readmitted, thus attenuating the between-group difference. However, in these same patient population, the use of digoxin and angiotensin-converting enzyme inhibitors or angiotensin receptor blockers was associated with lower readmission,1726 suggesting that the effect of beta-blockers on readmission maybe mild in hospitalized older systolic heart failure patients. Beta-blockers reduce both sudden cardiac death and pump failure death.3,4 The mode of death in hospitalized older patients with advanced systolic heart failure would be expected to be predominantly due to pump failure.2731 However, because of the time-lag associated with ventricular remodeling,24 the lower 30-day all-cause-mortality in our study would be expected to be primarily due to reduction of sudden death. Given the small number of deaths during the 30-day post-discharge period, chance remains a possibility which might have inflated the hazard ratio.

Several studies have examined the short-term effect of beta-blockers on outcomes. In the Carvedilol Prospective Randomized Cumulative Survival (COPERNICUS) trial, in clinically euvolemic patients with systolic heart failure, the mortality benefit of carvedilol appeared to begin early though it was not statistically significant, likely due to small number of events.32 In the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients With Heart Failure (OPTIMIZE-HF) registry, among hospitalized systolic heart failure patients, the use of beta-blockers was associated with an 11% (95% CI, 1%−20%) significantly lower all-cause readmission at one year post-discharge.5 Although data on 30-day all-cause readmission were not presented, the magnitude of the association between beta-blocker use and all-cause readmission in that study is similar to that observed in our study.

Although the use of beta-blockers in systolic heart failure has increased in recent years,5 concerns about how their initial negative inotropic effect may adversely affect readmission remain a barrier to their use before hospital discharge. Due to recent focus on 30-day all-cause readmission, hospitals and clinicians are under pressure to lower this outcome to avoid financial penalties, and this may further cause underutilization of these drugs during hospital discharge. However, findings from the current study should be reassuring. Heart failure patients not receiving evidence-based drugs during hospital discharge often do not receive them after discharge,3335 and considering the mortality benefit of beta-blockers in older systolic heart failure patients, this guideline-recommended evidence-based therapy should be initiated before hospital discharge to all systolic heart failure patients without an absolute contraindication.36 A pre-discharge (vs. post-discharge) initiation of beta-blockers has also been shown to be associated with higher use of beta-blockers without higher readmission.37

Our study has several limitations. Despite the use of propensity matching to assemble a cohort that was balanced in measured baseline characteristics, as in any observational study, bias due to imbalances in unmeasured covariates is possible. Lack of data on cause-specific deaths, invasive hemodynamic measurements, and dosage of beta-blockers used are other limitations. We also had no data on post-discharge use of medications, but, treatment crossover is likely to be minimal.3335 Although a resultant regression dilution may underestimate observed associations,38 it is unlikely to explain the null association with readmission as there was a significant association with mortality. Chance and lower numbers of mortality events in 30 days could have erroneously inflated hazard ratios.Although the current study is based on a single state from the early 2000s, outcomes in heart failure patients in Alabama is similar to national estimates,1,39 and management of hospitalized older systolic heart failure patients has not evolved much in the past decade.

Conclusions

Among Medicare beneficiaries with heart failure and reduced ejection fraction hospitalized for acute decompensation, a discharge prescription for beta-blockers was associated with lower 30-day all-cause mortality without higher 30-day all-cause or heart failure readmissions suggesting that these drugs can be prescribed before hospital discharge without concerns for adversely affecting 30-day all-cause readmission, an outcomes of substantial financial consequences for nation’s hospitals.

Table 3.

Association between a new discharge prescription for beta-blocker and 4-year post-discharge outcomes in a propensity-matched cohort of Medicare beneficiaries hospitalized for heart failure

(events)
Outcomes New discharge prescription for b-blocker
Absolute risk diff.* Hazard ratio (95 confidence interval)
No (n=380) %,N Yes (n=380) %,N
All-cause hospital readmission 83 (315) 81 (309) −2 0.89 (0.76–1.04)
Heart failure readmission 49 (186) 49 (187)  0 0.92 (0.75–1.13)
All-cause mortality 60 (226) 53 (202) −7 0.81 (0.67–0.98)
All-cause mortality or all-cause readmission 94 (357) 89 (339) −5 0.86 (0.74–0.97)
*

Absolute risk differences(%) were calculated by subtracting percent events in patients receiving no beta-blocker from those receiving those drugs

The hazard ratios compared patients receiving beta-blocker versus those not receiving beta-blocker. These hazard ratios were calculated by treating patients without events during the first 30 days as censored

Clinical significance.

  • Beta-blocker use was associated with lower risk of 30-day all-cause mortality without higher 30-day all-cause or heart failure readmissions in older Medicare beneficiaries hospitalized for acute systolic heart failure.

  • This benefit of beta-blockers was observed throughout the first 4 years after discharge

Footnotes

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None of the authors have any conflict of interest to disclose

All authors had access to the data and a role in writing the manuscript

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