Comparison of three frailty assessment tools in predicting adverse outcomes in elderly patients with chronic heart failure
10.3969/j.issn.1009-0126.2024.10.002
- VernacularTitle:三种衰弱评估工具对老年慢性心力衰竭患者不良结局预测能力的比较
- Author:
Chen LI
1
;
Shan JIANG
;
Xin WANG
;
Min XU
Author Information
1. 245000 黄山市人民医院老年医学科
- Keywords:
frailty;
heart failure;
death;
patient readmission
- From:
Chinese Journal of Geriatric Heart Brain and Vessel Diseases
2024;26(10):1125-1129
- CountryChina
- Language:Chinese
-
Abstract:
Objective To compare the frailty prevalence and the predictive performance of adverse outcomes in elderly patients with chronic heart failure(CHF)with three frailty assessment tools,FRAIL Scale(FS),Fried Frailty Phenotype(FFP)and Edmonton Frail Scale(EFS),and to deter-mine the feasibility of our study method.Methods A total of 146 elderly CHF patients who were hospitalized in Department of Geriatrics and Department of Cardiology of Huangshan People's Hospital from January 2020 to March 2022 were selected as the study objects by convenience sampling.According to FS,they were divided into non-frail patients(score:0-2,n=81)and frail patients(score:3-5,n=65).Based on FFP,the subjects were divided into non-frail patients(score:0-2,n=65)and frail patients(score:≥3,n=81).Depending on EFS,the patients were divided into non-frail patients(score:0-7,n=77)and frail patients(score:≥ 8,n=69).All patients were followed up for 1 year after discharge.The endpoint events of the follow-up included all-cause death and/or rehospitalization.Influencing factors of endpoint events was indentified by using logistic regression analysis.Results The prevalence of frailty assessed by FS,FFP,and EFS was 44.52%,55.48%and 47.26%,respectively.After 1 year of follow-up,there were significant differences in rehospitalization,all-cause death,and endpoint events between FS non-frail patients and FS frail patients,FFP non-frail patients and FFP frail patients,and EFS non-frail patients and EFS frail patients(P<0.01).Univariate logistic regression analysis showed that age,age-adjusted Charlson comorbidity index,polypharmacy,hospitalization in the past year,emergency treatment in the past year,body mass index(BMI),hemoglobin and eGFR had an impact on the endpoint events of CHF patients during the 1 year follow-up(P<0.05,P<0.01).After adjusting for rele-vant variables,multivariate logistic regression analysis indicated that frailty evaluated by FS,FFP and EFS was still a risk factor for the occurrence of endpoint events(OR=8.247,95%CI:2.649-25.674,P=0.001;OR=5.573,95%CI:2.005-15.489,P=0.001;OR=4.743,95%CI:1.612-13.953,P=0.005).Conclusion All FS,FFP and EFS can be used to evaluate the frailty of CHF inpatients,and they have good predictive value for the adverse outcome of CHF patients within 1 year after discharge.