Literature DB >> 22064593

Frailty is independently associated with short-term outcomes for elderly patients with non-ST-segment elevation myocardial infarction.

Niklas Ekerstad1, Eva Swahn, Magnus Janzon, Joakim Alfredsson, Rurik Löfmark, Marcus Lindenberger, Per Carlsson.   

Abstract

BACKGROUND: For the large and growing population of elderly patients with cardiovascular disease, it is important to identify clinically relevant measures of biological age and their contribution to risk. Frailty is an emerging concept in medicine denoting increased vulnerability and decreased physiological reserves. We analyzed the manner in which the variable frailty predicts short-term outcomes for elderly non-ST-segment elevation myocardial infarction patients. METHODS AND
RESULTS: Patients aged ≥ 75 years, with diagnosed non-ST-segment elevation myocardial infarction were included at 3 centers, and clinical data including judgment of frailty were collected prospectively. Frailty was defined according to the Canadian Study of Health and Aging Clinical Frailty Scale. The impact of the comorbid conditions on risk was quantified by the coronary artery disease-specific index. Of 307 patients, 149 (48.5%) were considered frail. By multiple logistic regression, frailty was found to be strongly and independently associated with risk for the primary composite outcome (death from any cause, myocardial reinfarction, revascularization due to ischemia, hospitalization for any cause, major bleeding, stroke/transient ischemic attack, and need for dialysis up to 1 month after inclusion) (odds ratio, 2.2; 95% confidence interval, 1.3-3.7), in-hospital mortality (odds ratio, 4.6; 95% confidence interval, 1.3-16.8), and 1-month mortality (odds ratio, 4.7; 95% confidence interval, 1.7-13.0).
CONCLUSIONS: Frailty is strongly and independently associated with in-hospital mortality, 1-month mortality, prolonged hospital care, and the primary composite outcome. The combined use of frailty and comorbidity may constitute an ultimate risk prediction concept in regard to cardiovascular patients with complex needs.

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Mesh:

Year:  2011        PMID: 22064593     DOI: 10.1161/CIRCULATIONAHA.111.025452

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  80 in total

1.  Frailty is an independent prognostic marker in elderly patients with myocardial infarction.

Authors:  Gonzalo Luis Alonso Salinas; Marcelo Sanmartin; Marina Pascual Izco; Luis Miguel Rincon; Pablo Pastor Pueyo; Alvaro Marco Del Castillo; Alberto Garcia Guerrero; Pedro Caravaca Perez; Alejandro Recio-Mayoral; Asuncion Camino; Manuel Jimenez-Mena; José Luis Zamorano
Journal:  Clin Cardiol       Date:  2017-07-16       Impact factor: 2.882

Review 2.  Risk of cardiovascular disease morbidity and mortality in frail and pre-frail older adults: Results from a meta-analysis and exploratory meta-regression analysis.

Authors:  Nicola Veronese; Emanuele Cereda; Brendon Stubbs; Marco Solmi; Claudio Luchini; Enzo Manzato; Giuseppe Sergi; Peter Manu; Tamara Harris; Luigi Fontana; Timo Strandberg; Helene Amieva; Julien Dumurgier; Alexis Elbaz; Christophe Tzourio; Monika Eicholzer; Sabine Rohrmann; Claudio Moretti; Fabrizio D'Ascenzo; Giorgio Quadri; Alessandro Polidoro; Roberto Alves Lourenço; Virgilio Garcia Moreira; Juan Sanchis; Valeria Scotti; Stefania Maggi; Christoph U Correll
Journal:  Ageing Res Rev       Date:  2017-01-28       Impact factor: 10.895

3.  The physical phenotype of frailty for risk stratification of older medical inpatients.

Authors:  P Forti; F Maioli; E Zagni; T Lucassenn; L Montanari; B Maltoni; G Luca Pirazzoli; G Bianchi; M Zoli
Journal:  J Nutr Health Aging       Date:  2014-12       Impact factor: 4.075

4.  Slow Gait Speed and Risk of Mortality or Hospital Readmission After Myocardial Infarction in the Translational Research Investigating Underlying Disparities in Recovery from Acute Myocardial Infarction: Patients' Health Status Registry.

Authors:  John A Dodson; Suzanne V Arnold; Kensey L Gosch; Thomas M Gill; John A Spertus; Harlan M Krumholz; Michael W Rich; Sarwat I Chaudhry; Daniel E Forman; Frederick A Masoudi; Karen P Alexander
Journal:  J Am Geriatr Soc       Date:  2016-03-01       Impact factor: 5.562

5.  The Application of Frailty to the Modern Cardiac Risk Assessment: a Case-Based Review.

Authors:  Matthew Finn; Philip Green
Journal:  Curr Cardiovasc Risk Rep       Date:  2015-10-07

6.  Relationship Between Accelerometer-Measured Activity and Self-Reported or Performance-Based Function in Older Adults with Severe Aortic Stenosis.

Authors:  Yufei Tang; Philip Green; Mathew Maurer; Rosa Lazarte; Jonathan Rubin Kuzniecky; Ming Yang Hung; Melissa Garcia; Susheel Kodali; Tamara Harris
Journal:  Curr Geriatr Rep       Date:  2015-10-14

Review 7.  [Depression in frail geriatric patients. Diagnostics and treatment].

Authors:  D Kopf; J Hummel
Journal:  Z Gerontol Geriatr       Date:  2013-02       Impact factor: 1.281

8.  Fall Risk and Outcomes Among Patients Hospitalized With Cardiovascular Disease in the Community.

Authors:  Sheila M Manemann; Alanna M Chamberlain; Cynthia M Boyd; Donna M Miller; Kimberly L Poe; Andrea Cheville; Susan A Weston; Ellen E Koepsell; Ruoxiang Jiang; Véronique L Roger
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2018-08

9.  Significance of frailty for predicting adverse clinical outcomes in different patient groups with specific medical conditions.

Authors:  Martin Ritt; Karl-Günter Gaßmann; Cornel Christian Sieber
Journal:  Z Gerontol Geriatr       Date:  2016-09-14       Impact factor: 1.281

Review 10.  Frailty assessment in the cardiovascular care of older adults.

Authors:  Jonathan Afilalo; Karen P Alexander; Michael J Mack; Mathew S Maurer; Philip Green; Larry A Allen; Jeffrey J Popma; Luigi Ferrucci; Daniel E Forman
Journal:  J Am Coll Cardiol       Date:  2013-11-27       Impact factor: 24.094

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