Adding high-sensitivity C-reactive protein to frailty assessment to predict mortality and cardiovascular events in elderly inpatients with cardiovascular disease

被引:6
|
作者
Yao, Si-Min [1 ,2 ]
Zheng, Pei-Pei [1 ,2 ]
Wan, Yu-Hao [1 ,2 ]
Dong, Wei [3 ]
Miao, Guo-Bin [4 ]
Wang, Hua [1 ]
Yang, Jie-Fu [1 ]
机构
[1] Chinese Acad Med Sci, Inst Geriatr Med, Natl Ctr Gerontol, Dept Cardiol,Beijing Hosp, 1 DaHua Rd, Beijing 100730, Peoples R China
[2] Peking Univ, Sch Clin Med 5, 1 DaHua Rd, Beijing 100730, Peoples R China
[3] Chinese Peoples Liberat Army Gen Hosp, Dept Cardiol, 28 Fuxing Rd, Beijing 100039, Peoples R China
[4] Beijing Tsinghua Changgung Hosp, Dept Cardiol, 168 Litang Rd, Beijing 102218, Peoples R China
关键词
Frailty; High-sensitivity C-reactive protein; Inflammation; Cardiovascular disease; Elderly inpatients;
D O I
10.1016/j.exger.2021.111235
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Objective: Chronic inflammation is associated with major adverse cardiovascular events (MACEs), mortality, and frailty. Our aim was to add high-sensitivity C-reactive protein (hsCRP) to the frailty assessment to predict its association with prognosis of older adults with cardiovascular disease (CVD). Methods: A comprehensive geriatric assessment was conducted at baseline in 720 in-patients aged >= 65 years with CVD. We divided the population into frailty and non-frailty groups according to the Fried phenotype, and hsCRP was further combined with frailty to stratify all patients into c-frailty and non-c-frailty groups. Predictive validity was tested using Cox proportional hazards regression model analysis and the discriminative ability was evaluated by receiver operating characteristic (ROC) curves. Results: Of all the subjects enrolled, 51.0% were male and the mean age was 75.32 +/- 6.52 years. The all-cause death and MACE rate was 6.4% at the 1-year follow-up. Frailty and c-frailty were independent predictors of all cause death and MACE (hazard ratio [HR]: 2.55, 95% confidence interval [CI]: 1.35-4.83, p = 0.004; HR: 3.67, 95% CI: 1.83-7.39, p < 0.001). Adding hsCRP to the frailty model resulted in a significant increase in the area under the ROC curve from 0.74 (95% CI: 0.70-0.77) to 0.77 (95% CI: 0.71-0.84) (p = 0.0132) and a net reclassification index of 7.9% (95% CI: 1.96%-12.56%, p = 0.012). Conclusion: Adding hsCRP to the frailty assessment is helpful to identify a subgroup of older CVD patients with a higher risk of death and MACE over a period of 1 year.
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页数:7
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