The association between frailty and the risk of mortality in critically ill congestive heart failure patients: findings from the MIMIC-IV database

被引:0
|
作者
Shi, Wenhua [1 ]
Lin, Hong [1 ]
Zhang, Xinyu [1 ]
Xu, Wenjing [2 ]
Lan, Taohua [2 ,3 ,4 ]
Jiang, Wei [2 ,3 ]
Chen, Xiankun [3 ,5 ]
Lu, Weihui [2 ,4 ,6 ,7 ]
机构
[1] Guangzhou Univ Chinese Med, Clin Med Coll 2, Guangzhou, Guangdong, Peoples R China
[2] Guangzhou Univ Chinese Med, Affiliated Hosp 2, Dept Cardiol, Guangzhou, Guangdong, Peoples R China
[3] Guangzhou Univ Chinese Med, Affiliated Hosp 2, State Key Lab Dampness Syndrome Chinese Med, Guangzhou, Guangdong, Peoples R China
[4] Guangzhou Univ Chinese Med, Affiliated Hosp 2, Academician Chen Keji Workstat, Guangzhou, Guangdong, Peoples R China
[5] Guangzhou Univ Chinese Med, Affiliated Hosp 2, Key Unit Methodol Clin Res, Guangzhou, Guangdong, Peoples R China
[6] Chinese Med Guangdong Lab, Hengqin, Guangdong, Peoples R China
[7] Guangzhou Univ Chinese Med, Guangdong Prov Hosp Chinese Med, State Key Lab Tradit Chinese Med Syndrome, Guangzhou, Guangdong, Peoples R China
来源
关键词
frailty; frailty index; elderly; congestive heart failure; MIMIC-IV database; CARE; EPIDEMIOLOGY; PREVALENCE; COMPONENTS; STATEMENT; OUTCOMES; IMPACT;
D O I
10.3389/fendo.2024.1424257
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Frailty is a severe, common co-morbidity associated with congestive heart failure (CHF). This retrospective cohort study assesses the association between frailty and the risk of mortality in critically ill CHF patients. Methods: Eligible patients with CHF from the Medical Information Base for Intensive Care IV database were retrospectively analyzed. The frailty index based on laboratory tests (FI_Lab) index was calculated using 33 variables to assess frailty status. The primary outcomes were in-hospital mortality and one-year mortality. The secondary outcomes were the incidence of acute kidney injury (AKI) and the administration of renal replacement therapy (RRT) in patients with concurrent AKI. Survival disparities among the FI_Lab subgroups were estimated with Kaplan-Meier survival analysis. The association between the FI_Lab index and mortality was examined with Cox proportional risk modeling. Results: A total of 3273 adult patients aged 18 years and older were enrolled in the study, with 1820 men and 1453 women included. The incidence rates of in-hospital mortality and one-year mortality rate were 0.96 per 1,000 person-days and 263.8 per 1,000 person-years, respectively. Multivariable regression analysis identified baseline FI_Lab > 0.45 as an independent risk factor predicting in-hospital mortality (odds ratio = 3.221, 95% CI 2.341-4.432, p < 0.001) and one-year mortality (hazard ratio=2.152, 95% CI: 1.730-2.678, p < 0.001). In terms of predicting mortality, adding FI_Lab to the six disease severity scores significantly improved the overall performance of the model (all p < 0.001). Conclusions: We established a positive correlation between the baseline FI_Lab and the likelihood of adverse outcomes in critical CHF patients. Given its potential as a reliable prognostic tool for such patients, further validation of FI_Lab across multiple centers is recommended for future research.
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页数:11
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