Literature DB >> 31421814

Relation of Frailty to Outcomes in Patients With Acute Coronary Syndromes.

Chun Shing Kwok1, Gina Lundberg2, Hussam Al-Faleh3, Alex Sirker4, Harriette G C Van Spall5, Erin D Michos6, Muhammad Rashid7, Mohamed Mohamed1, Rodrigo Bagur7, Mamas A Mamas8.   

Abstract

This study examines a national cohort of patients with a diagnosis of acute coronary syndrome (ACS) for the prevalence of frailty, temporal changes over time, and its association with treatments and clinical outcomes. The National Inpatient Sample database was used to identify US adults with a diagnosis of ACS between 2004 and 2014. Frailty risk was determined using a validated Hospital Frailty Risk Score based on ICD-9 codes using the cutoffs <5, 5 to 15, and >15 for low- (LRS), intermediate- (IRS), and high-risk (HRS) frailty scores, respectively. Logistic regression assessed associations of frailty with clinical outcomes, adjusted for patient co-morbidities and hospital characteristics. From 7,398,572 hospital admissions with ACS between 2004 and 2014, 86.5% of patients had LRS, 13.4% had an IRS, and 0.1% had an HRS. From 2004 to 2014, the prevalence of IRS and HRS patients increased from 8.1% to 18.2% and 0.03% to 0.18%, respectively (p <0.001 for both). The proportion of patients treated with percutaneous coronary intervention was greatest among patients with lowest frailty risk scores (LRS 42.9%, IRS 21.0%, and HRS 14.6%). Comparing HRS to LRS, there was a significant increase in bleeding complications (odds ratio [OR] 2.34, 95% confidence interval [CI] 2.03 to 2.69), vascular complications (OR 2.08, 95% CI 1.79 to 2.41), in-hospital stroke (OR 7.84, 95% CI 6.93 to 8.86), and in-hospital death (OR 2.57, 95% CI 2.18 to 3.04). Risk of frailty is common among patients with ACS, is increasing in prevalence, and is associated with differential management strategies, and outcomes during hospitalization. Increased awareness could facilitate frailty-tailored care to minimize the risk of adverse outcomes.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31421814     DOI: 10.1016/j.amjcard.2019.07.003

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  5 in total

1.  External Validation of the Hospital Frailty-Risk Score in Predicting Clinical Outcomes in Older Heart-Failure Patients in Australia.

Authors:  Yogesh Sharma; Chris Horwood; Paul Hakendorf; Rashmi Shahi; Campbell Thompson
Journal:  J Clin Med       Date:  2022-04-14       Impact factor: 4.964

2.  Impact of frailty on periprocedural health care utilization in patients undergoing transcatheter edge-to-edge mitral valve repair.

Authors:  Christos Iliadis; Leandra Schwabe; Dirk Müller; Stephanie Stock; Stephan Baldus; Roman Pfister
Journal:  Clin Res Cardiol       Date:  2020-12-17       Impact factor: 5.460

Review 3.  Frailty Scores and Their Utility in Older Patients with Cardiovascular Disease.

Authors:  Kenneth Jordan Ng Cheong Chung; Chris Wilkinson; Murugapathy Veerasamy; Vijay Kunadian
Journal:  Interv Cardiol       Date:  2021-03-31

Review 4.  Comparing health outcomes between coronary interventions in frail patients aged 75 years or older with acute coronary syndrome: a systematic review.

Authors:  Gregory W van Wyk; Shlomo Berkovsky; David Fraile Navarro; Enrico Coiera
Journal:  Eur Geriatr Med       Date:  2022-07-31       Impact factor: 3.269

5.  External validation of the Hospital Frailty Risk Score in France.

Authors:  Thomas Gilbert; Quentin Cordier; Stéphanie Polazzi; Marc Bonnefoy; Eilìs Keeble; Andrew Street; Simon Conroy; Antoine Duclos
Journal:  Age Ageing       Date:  2022-01-06       Impact factor: 10.668

  5 in total

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