Usefulness of the Simplified Frailty Scale in Predicting Risk of Readmission or Mortality in Elderly Patients Hospitalized with Cardiovascular Disease

Autor: Minako Yamaoka-Tojo, Masashi Yamashita, Takafumi Ichikawa, Ryota Matsuzawa, Nobuaki Hamazaki, Emi Maekawa, Kohei Nozaki, Keita Aida, Atsuhiko Matsunaga, Junya Ako, Takeshi Nakamura, Kentaro Kamiya
Rok vydání: 2020
Předmět:
Zdroj: International heart journal. 61(3)
ISSN: 1349-3299
Popis: The simplified frailty scale is a simple frailty assessment tool modified from Fried's phenotypic frailty criteria, which is easy to administer in hospitalized patients. The applicability of the simplified frailty scale to indicate prognosis in elderly hospitalized patients with cardiovascular disease (CVD) was examined.This cohort study was performed in 895 admitted patients ≥ 65 years (interquartile range, 71.0-81.0, 541 men) with CVD. Patients were classified as robust, prefrail, or frail based on the five components of the simplified frailty scale: weakness, slowness, exhaustion, low activity, and weight loss. The primary endpoint was the composite outcome of all-cause mortality and unplanned readmission for CVD.Patients positive for greater numbers of frailty components showed higher risk of all-cause mortality or unplanned CVD-related readmission (P for trend < 0.001). Classification as both frail (adjusted HR: 3.27, 95% confidence interval [CI]: 1.49-7.21, P = 0.003) and prefrail (adjusted HR: 2.19, 95% CI: 1.00-4.79, P = 0.049) independently predicted the composite endpoint compared with robust after adjusting for potential confounding factors. The inclusion of prefrail, frail, and number of components of frailty increased both continuous net reclassification improvement (0.113, P = 0.049; 0.426, P < 0.001; and 0.321, P < 0.001) and integrated discrimination improvement (0.007, P = 0.037; 0.009, P = 0.038; and 0.018, P = 0.002) for the composite endpoint.Higher scores on the simplified frailty scale were associated with increased risk of mortality or readmission in elderly patients hospitalized for CVD.
Databáze: OpenAIRE