Literature DB >> 31553402

Association of Frailty With 30-Day Outcomes for Acute Myocardial Infarction, Heart Failure, and Pneumonia Among Elderly Adults.

Harun Kundi1, Rishi K Wadhera1,2, Jordan B Strom1, Linda R Valsdottir1, Changyu Shen1, Dhruv S Kazi1, Robert W Yeh1.   

Abstract

Importance: The addition of a claims-based frailty metric to traditional comorbidity-based risk-adjustment models for acute myocardial infarction (AMI), heart failure (HF), and pneumonia improves the prediction of 30-day mortality and readmission. This may have important implications for hospitals that tend to care for frail populations and participate in Centers for Medicare & Medicaid Services value-based payment programs, which use these risk-adjusted metrics to determine reimbursement. Objective: To determine whether the addition of frailty measures to traditional comorbidity-based risk-adjustment models improved prediction of outcomes for patients with AMI, HF, and pneumonia. Design, Setting, and Participants: A nationwide cohort study included Medicare fee-for-service beneficiaries 65 years and older in the United States between January 1 and December 1, 2016. Analysis began August 2018. Main Outcomes and Measures: Rates of mortality within 30 days of admission and 30 days of discharge, as well as 30-day readmission rates by frailty group. We evaluated the incremental effect of adding the Hospital Frailty Risk Score (HFRS) to current comorbidity-based risk-adjustment models for 30-day outcomes across all conditions.
Results: For 785 127 participants, there were 166 200 hospitalizations [21.2%] for AMI, 348 619 [44.4%] for HF, and 270 308 [34.4%] for pneumonia. The mean (SD) age at the time of hospitalization was 79.2 (8.9) years; 656 315 (83.6%) were white and 402 639 (51.3%) were women. The mean (SD) HFRS was 7.3 (7.4) for patients with AMI, 10.8 (8.3) for patients with HF, and 8.2 (5.7) for patients with pneumonia. Among patients hospitalized for AMI, an HFRS more than 15 (compared with an HFRS <5) was associated with a higher risk of 30-day postadmission mortality (adjusted odds ratio [aOR], 3.6; 95% CI, 3.4-3.8), 30-day postdischarge mortality (aOR, 4.0; 95% CI, 3.7-4.3), and 30-day readmission (aOR, 3.0; 95% CI, 2.9-3.1) after multivariable adjustment for age, sex, race, and comorbidities. Similar patterns were observed for patients hospitalized with HF (30-day postadmission mortality: aOR, 3.5; 95% CI, 3.4-3.7; 30-day postdischarge mortality: aOR, 3.5; 95% CI, 3.3-3.6; and 30-day readmission: aOR, 2.9; 95% CI, 2.8-3.0) and among patients with pneumonia (30-day postadmission mortality: aOR, 2.5; 95% CI, 2.3-2.6; 30-day postdischarge mortality: aOR, 3.0; 95% CI, 2.9-3.2; and 30-day readmission: aOR, 2.8; 95% CI, 2.7-2.9). The addition of HFRS to traditional comorbidity-based risk-prediction models improved discrimination to predict outcomes for all 3 conditions. Conclusions and Relevance: Among Medicare fee-for-service beneficiaries, frailty as measured by the HFRS was associated with mortality and readmissions among patients hospitalized for AMI, HF, or pneumonia. The addition of HFRS to traditional comorbidity-based risk-prediction models improved the prediction of outcomes for all 3 conditions.

Entities:  

Mesh:

Year:  2019        PMID: 31553402      PMCID: PMC6763977          DOI: 10.1001/jamacardio.2019.3511

Source DB:  PubMed          Journal:  JAMA Cardiol            Impact factor:   14.676


  29 in total

1.  Using claims data to predict dependency in activities of daily living as a proxy for frailty.

Authors:  Keturah R Faurot; Michele Jonsson Funk; Virginia Pate; M Alan Brookhart; Amanda Patrick; Laura C Hanson; Wendy Camelo Castillo; Til Stürmer
Journal:  Pharmacoepidemiol Drug Saf       Date:  2014-10-21       Impact factor: 2.890

Review 2.  Regression models in clinical studies: determining relationships between predictors and response.

Authors:  F E Harrell; K L Lee; B G Pollock
Journal:  J Natl Cancer Inst       Date:  1988-10-05       Impact factor: 13.506

3.  Frailty is associated with reduced prospect of discharge home after in-hospital cardiac arrest.

Authors:  Roger J Smith; David A Reid; John D Santamaria
Journal:  Intern Med J       Date:  2019-08       Impact factor: 2.048

4.  Acute Myocardial Infarction after Laboratory-Confirmed Influenza Infection.

Authors:  Jeffrey C Kwong; Kevin L Schwartz; Michael A Campitelli; Hannah Chung; Natasha S Crowcroft; Timothy Karnauchow; Kevin Katz; Dennis T Ko; Allison J McGeer; Dayre McNally; David C Richardson; Laura C Rosella; Andrew Simor; Marek Smieja; George Zahariadis; Jonathan B Gubbay
Journal:  N Engl J Med       Date:  2018-01-25       Impact factor: 91.245

5.  Measuring Frailty in Medicare Data: Development and Validation of a Claims-Based Frailty Index.

Authors:  Dae Hyun Kim; Sebastian Schneeweiss; Robert J Glynn; Lewis A Lipsitz; Kenneth Rockwood; Jerry Avorn
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-06-14       Impact factor: 6.053

6.  Hospital readmissions reduction program.

Authors:  Colleen K McIlvennan; Zubin J Eapen; Larry A Allen
Journal:  Circulation       Date:  2015-05-19       Impact factor: 29.690

7.  Impact of a Claims-Based Frailty Indicator on the Prediction of Long-Term Mortality After Transcatheter Aortic Valve Replacement in Medicare Beneficiaries.

Authors:  Harun Kundi; Linda R Valsdottir; Jeffrey J Popma; David J Cohen; Jordan B Strom; Duane S Pinto; Changyu Shen; Robert W Yeh
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2018-10

8.  External validation of the Hospital Frailty Risk Score and comparison with the Hospital-patient One-year Mortality Risk Score to predict outcomes in elderly hospitalised patients: a retrospective cohort study.

Authors:  Finlay McAlister; Carl van Walraven
Journal:  BMJ Qual Saf       Date:  2018-10-31       Impact factor: 7.035

9.  Association of Changing Hospital Readmission Rates With Mortality Rates After Hospital Discharge.

Authors:  Kumar Dharmarajan; Yongfei Wang; Zhenqiu Lin; Sharon-Lise T Normand; Joseph S Ross; Leora I Horwitz; Nihar R Desai; Lisa G Suter; Elizabeth E Drye; Susannah M Bernheim; Harlan M Krumholz
Journal:  JAMA       Date:  2017-07-18       Impact factor: 56.272

10.  Development and validation of a Hospital Frailty Risk Score focusing on older people in acute care settings using electronic hospital records: an observational study.

Authors:  Thomas Gilbert; Jenny Neuburger; Joshua Kraindler; Eilis Keeble; Paul Smith; Cono Ariti; Sandeepa Arora; Andrew Street; Stuart Parker; Helen C Roberts; Martin Bardsley; Simon Conroy
Journal:  Lancet       Date:  2018-04-26       Impact factor: 79.321

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  41 in total

Review 1.  Multidomain Frailty in Heart Failure: Current Status and Future Perspectives.

Authors:  Shinya Tanaka; Masashi Yamashita; Hiroshi Saito; Kentaro Kamiya; Daichi Maeda; Masaaki Konishi; Yuya Matsue
Journal:  Curr Heart Fail Rep       Date:  2021-04-09

2.  The Frailty Syndrome: Anesthesiologists Must Understand More and Fear Less.

Authors:  Elizabeth L Whitlock; Robert A Whittington
Journal:  Anesth Analg       Date:  2020-06       Impact factor: 5.108

3.  Sex Differences in the Mortality Risk of Elderly Patients with Systolic Heart Failure in Taiwan.

Authors:  Tsung-Jui Wu; Gen-Min Lin; Chin-Sheng Lin; Pang-Yen Liu; Kuan-Jen Su; Chia-Chang Lin; Tzu-Chiao Lin; Shu-Meng Cheng; Shih-Hua Lin; Eiki Takimoto; Issei Komuro; Wei-Shiang Lin
Journal:  Acta Cardiol Sin       Date:  2020-11       Impact factor: 2.672

4.  Evaluation of Hospital Performance Using the Excess Days in Acute Care Measure in the Hospital Readmissions Reduction Program.

Authors:  Rishi K Wadhera; Karen E Joynt Maddox; Nihar R Desai; Bruce E Landon; Muthiah Vaduganathan Md; Lauren G Gilstrap; Changyu Shen; Robert W Yeh
Journal:  Ann Intern Med       Date:  2020-10-13       Impact factor: 25.391

5.  Frailty Is a Risk Factor for Postoperative Mortality in Patients With Cirrhosis Undergoing Diverse Major Surgeries.

Authors:  Nadim Mahmud; David E Kaplan; Tamar H Taddei; David S Goldberg
Journal:  Liver Transpl       Date:  2021-02-15       Impact factor: 5.799

6.  Patient Frailty Is Independently Associated With the Risk of Hospitalization for Acute-on-Chronic Liver Failure.

Authors:  Shivani Shah; David S Goldberg; David E Kaplan; Vinay Sundaram; Tamar H Taddei; Nadim Mahmud
Journal:  Liver Transpl       Date:  2020-10-28       Impact factor: 5.799

7.  Applying Administrative Data-Based Coding Algorithms for Frailty in Patients With Cirrhosis.

Authors:  Jeremy Louissaint; Susan L Murphy; Christopher J Sonnenday; Anna S Lok; Elliot B Tapper
Journal:  Liver Transpl       Date:  2021-07-31       Impact factor: 5.799

8.  Acute pulmonary embolism following recent hospitalization or surgery.

Authors:  Colby Shanafelt; Rahul Aggarwal; Tyler Mehegan; Abby Pribish; Kevin Soriano; Andrew Dicks; Eric A Secemsky; Brett J Carroll
Journal:  J Thromb Thrombolysis       Date:  2020-11-06       Impact factor: 2.300

9.  Increasing Prevalence of Frailty and Its Association with Readmission and Mortality Among Hospitalized Patients with IBD.

Authors:  Adam S Faye; Timothy Wen; Ali Soroush; Ashwin N Ananthakrishnan; Ryan Ungaro; Garrett Lawlor; Frank J Attenello; William J Mack; Jean-Frederic Colombel; Benjamin Lebwohl
Journal:  Dig Dis Sci       Date:  2021-01-01       Impact factor: 3.199

10.  Analysis of Frailty in Geriatric Patients as a Prognostic Factor in Endovascular Treated Patients with Large Vessel Occlusion Strokes.

Authors:  Marlena Schnieder; Mathias Bähr; Mareike Kirsch; Ilko Maier; Daniel Behme; Christian Heiner Riedel; Marios-Nikos Psychogios; Alex Brehm; Jan Liman; Christine A F von Arnim
Journal:  J Clin Med       Date:  2021-05-18       Impact factor: 4.241

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