Literature DB >> 32808250

Comparative Effectiveness of Angiotensin II Receptor Blockers and Angiotensin-Converting Enzyme Inhibitors in Older Nursing Home Residents After Myocardial Infarction: A Retrospective Cohort Study.

Andrew R Zullo1,2,3, Melissa R Riester4, Sebhat Erqou5, Wen-Chih Wu6,7,5, James L Rudolph6,7,8, Michael A Steinman9.   

Abstract

BACKGROUND: Evidence regarding differences in outcomes between angiotensin II receptor blockers (ARBs) and angiotensin-converting enzyme inhibitors (ACEIs) among older nursing home (NH) residents after acute myocardial infarction (AMI) is limited.
OBJECTIVES: The purpose of our study was to estimate the post-AMI effects of ARBs versus ACEIs on mortality, rehospitalization, and functional decline outcomes in this important population.
METHODS: This retrospective cohort study used national Medicare claims linked to Minimum Data Set assessments. The study population included individuals aged ≥ 65 years who resided in a US NH ≥ 30 days, were hospitalized for AMI between May 2007 and March 2010, and returned to the NH. We compared 90-day mortality, rehospitalization, and functional decline outcomes between ARB and ACEI users with inverse-probability-of-treatment-weighted binomial and multinomial logistic regression models.
RESULTS: Of the 2765 NH residents, 270 (9.8%) used ARBs and 2495 (90.2%) used ACEIs. The mean age of ARB versus ACEI users was 82.3 versus 82.7 years, respectively. No marked differences existed between ARB and ACEI users for mortality [odds ratio (OR) 1.18; 95% confidence interval (CI) 0.78-1.79], rehospitalization (OR 1.22; 95% CI 0.90-1.65), or functional decline (OR 1.23; 95% CI 0.88-1.74). In subgroup analyses, ARBs were associated with increased mortality and rehospitalization in individuals with moderate to severe cognitive impairment and with increased rehospitalization in those aged < 85 years.
CONCLUSIONS: Our findings align with prior data and suggest that clinicians can prescribe either ARBs or ACEIs post-AMI for secondary prevention in NH residents, although the subgroup findings merit further scrutiny and replication. Providers should consider factors such as patient preferences, class-specific adverse events, and costs when prescribing.

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Year:  2020        PMID: 32808250      PMCID: PMC7530043          DOI: 10.1007/s40266-020-00791-w

Source DB:  PubMed          Journal:  Drugs Aging        ISSN: 1170-229X            Impact factor:   3.923


  47 in total

1.  Scaling ADLs within the MDS.

Authors:  J N Morris; B E Fries; S A Morris
Journal:  J Gerontol A Biol Sci Med Sci       Date:  1999-11       Impact factor: 6.053

2.  Sources of regional variation in Medicare Part D drug spending.

Authors:  Julie M Donohue; Nancy E Morden; Walid F Gellad; Julie P Bynum; Weiping Zhou; Joseph T Hanlon; Jonathan Skinner
Journal:  N Engl J Med       Date:  2012-02-09       Impact factor: 91.245

Review 3.  2007 focused update of the ACC/AHA 2004 guidelines for the management of patients with ST-elevation myocardial infarction: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.

Authors:  Elliott M Antman; Mary Hand; Paul W Armstrong; Eric R Bates; Lee A Green; Lakshmi K Halasyamani; Judith S Hochman; Harlan M Krumholz; Gervasio A Lamas; Charles J Mullany; David L Pearle; Michael A Sloan; Sidney C Smith; Daniel T Anbe; Frederick G Kushner; Joseph P Ornato; David L Pearle; Michael A Sloan; Alice K Jacobs; Cynthia D Adams; Jeffrey L Anderson; Christopher E Buller; Mark A Creager; Steven M Ettinger; Jonathan L Halperin; Sharon A Hunt; Bruce W Lytle; Rick Nishimura; Richard L Page; Barbara Riegel; Lynn G Tarkington; Clyde W Yancy
Journal:  J Am Coll Cardiol       Date:  2008-01-15       Impact factor: 24.094

4.  On the distinction between interaction and effect modification.

Authors:  Tyler J VanderWeele
Journal:  Epidemiology       Date:  2009-11       Impact factor: 4.822

5.  Renin-angiotensin system blockade use and risks of cognitive decline and dementia: A meta-analysis.

Authors:  Shan Zhuang; Hai-Feng Wang; Jun Li; Hong-Yan Wang; Xin Wang; Cheng-Ming Xing
Journal:  Neurosci Lett       Date:  2016-05-06       Impact factor: 3.046

6.  Beta-Blocker Use in U.S. Nursing Home Residents After Myocardial Infarction: A National Study.

Authors:  Andrew R Zullo; Yoojin Lee; Lori A Daiello; Vincent Mor; W John Boscardin; David D Dore; Yinghui Miao; Kathy Z Fung; Kiya D R Komaiko; Michael A Steinman
Journal:  J Am Geriatr Soc       Date:  2016-11-15       Impact factor: 5.562

Review 7.  Effects of different antihypertensive medication groups on cognitive function in older patients: A systematic review.

Authors:  M Stuhec; J Keuschler; J Serra-Mestres; M Isetta
Journal:  Eur Psychiatry       Date:  2017-08-15       Impact factor: 5.361

8.  Effects of Statins for Secondary Prevention on Functioning and Other Outcomes Among Nursing Home Residents.

Authors:  Andrew R Zullo; Richard Ofori-Asenso; Marci Wood; Allison Zuern; Yoojin Lee; Wen-Chih Wu; James L Rudolph; Danny Liew; Michael A Steinman
Journal:  J Am Med Dir Assoc       Date:  2020-03-03       Impact factor: 4.669

9.  Comparative Effectiveness Research Using Observational Data: Active Comparators to Emulate Target Trials with Inactive Comparators.

Authors:  Anders Huitfeldt; Miguel A Hernan; Mette Kalager; James M Robins
Journal:  EGEMS (Wash DC)       Date:  2016-10-14

10.  Measuring change in activities of daily living in nursing home residents with moderate to severe cognitive impairment.

Authors:  G Iain Carpenter; Charlotte L Hastie; John N Morris; Brant E Fries; Joel Ankri
Journal:  BMC Geriatr       Date:  2006-04-03       Impact factor: 3.921

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