Impact of clinical frailty scale on short and long term outcome in patients with acute coronary syndrome

Abstract

Abstract Funding Acknowledgements None. Background As recently outlined in the European Society of Cardiology (ESC) guidelines on acute coronary syndrome (ACS), scarce data still exits about the prognostic role of frailty to guide clinical decision-making for patients with ACS. Purpose To assess the potential predictive value of frailty both for short, and long term all-cause mortality, in a contemporary ACS population. Methods All consecutive admissions due to ACS, from 01/01/2019 to 31/12/2021, were retrospectively reviewed from an internal database of a tertiary cardiac center in Salerno (Italy). Logistic and Cox proportional regression analysis were performed in order to assess the contribution of frailty on 30-days and long term mortality. Frailty was assessed using the Clinical Frailty Scale (CFS) and patients were classified as non frail (CFS 1-4), and frail (CFS 5-9). Both logistic and Cox regression analysis were adjusted for age, gender, GRACE risk score, comorbidity burden, defined by the Charlson comorbidity score (CCS), and all other relevant covariates associated with outcomes of interest in the univariate analysis. In order to estimate the survival rates during the follow-up, a Kaplan Meyer analysis was carried out and differences between the CFS groups were assessed using the log-rank test. Robustness of the results were assessed through an internal validation procedure with bootstrapping. All statistical analyses were performed using SPSS software version 25.0 (SPPS Inc., Chicago, Illinois) and R version 4.0.5 (R Foundation for Statistical Computing, Vienna, Austria). A p-value of less than 0.05 was considered significant. Results 1366 patients were identified. The median age was 68 (58-77). Of these patients, 1087 (79,6%) were classified as non-frail (CFS 1-4), and 279 (20,4%) as frail (CFS 5-9). 120 (8,8%) and 140 (11,2%) deaths occurred, respectively, during the first 30 days from admission, and during long term follow-up (median follow-up time: 15 months; IQR: 10-24). After multivariate regression analysis the CFS was associated with both short and long-term mortality (OR: 1,6, 95% CI: 1,34-1,91; p<0,001 and HR: 1,37, 95% CI: 1,18-1,58; p<0,001, Fig. 1). Patients with CFS ≥ 5 showed significant higher mortality rate during long term follow-up (p<0.001; Fig.2). Conclusions The CFS is a strong predictor of both short and long-term mortality in patients affected by ACS also after comprehensive adjustment for baseline differences in other risk factors.Fig. 2