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Clinical Frailty Scale classes are independently associated with 6-month mortality for patients after acute myocardial infarction

AIMS: Data on the prognostic value of frailty to guide clinical decision-making for patients with myocardial infarction (MI) are scarce. To analyse the association between frailty classification, treatment patterns, in-hospital outcomes, and 6-month mortality in a large population of patients with M...

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Detalles Bibliográficos
Autores principales: Ekerstad, Niklas, Javadzadeh, Dariush, Alexander, Karen P, Bergström, Olle, Eurenius, Lars, Fredrikson, Mats, Gudnadottir, Gudny, Held, Claes, Ängerud, Karin Hellström, Jahjah, Radwan, Jernberg, Tomas, Mattsson, Ewa, Melander, Kjell, Mellbin, Linda, Ohlsson, Monica, Ravn-Fischer, Annica, Svennberg, Lars, Yndigegn, Troels, Alfredsson, Joakim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826894/
https://www.ncbi.nlm.nih.gov/pubmed/34905049
http://dx.doi.org/10.1093/ehjacc/zuab114
Descripción
Sumario:AIMS: Data on the prognostic value of frailty to guide clinical decision-making for patients with myocardial infarction (MI) are scarce. To analyse the association between frailty classification, treatment patterns, in-hospital outcomes, and 6-month mortality in a large population of patients with MI. METHODS AND RESULTS: An observational, multicentre study with a retrospective analysis of prospectively collected data using the SWEDEHEART registry. In total, 3381 MI patients with a level of frailty assessed using the Clinical Frailty Scale (CFS-9) were included. Of these patients, 2509 (74.2%) were classified as non-vulnerable non-frail (CFS 1–3), 446 (13.2%) were vulnerable non-frail (CFS 4), and 426 (12.6%) were frail (CFS 5–9). Frailty and non-frail vulnerability were associated with worse in-hospital outcomes compared with non-frailty, i.e. higher rates of mortality (13.4% vs. 4.0% vs. 1.8%), cardiogenic shock (4.7% vs. 2.5% vs. 1.9%), and major bleeding (4.5% vs. 2.7% vs. 1.1%) (all P < 0.001), and less frequent use of evidence-based therapies. In Cox regression analyses, frailty was strongly and independently associated with 6-month mortality compared with non-frailty, after adjustment for age, sex, the GRACE risk score components, and other potential risk factors [hazard ratio (HR) 3.32, 95% confidence interval (CI) 2.30–4.79]. A similar pattern was seen for vulnerable non-frail patients (fully adjusted HR 2.07, 95% CI 1.41–3.02). CONCLUSION: Frailty assessed with the CFS was independently and strongly associated with all-cause 6-month mortality, also after comprehensive adjustment for baseline differences in other risk factors. Similarly, non-frail vulnerability was independently associated with higher mortality compared with those with preserved functional ability.