Prevalence and associated factors of frailty in patients with chronic kidney disease: a cross-sectional analysis of PEAKING study

被引:3
|
作者
Yang, Changyuan [1 ]
Xiao, Cuixia [2 ]
Zeng, Jiahao [2 ]
Duan, Ruolan [1 ]
Ling, Xitao [1 ]
Qiu, Jiamei [1 ]
Li, Qin [1 ]
Qin, Xindong [1 ,2 ]
Zhang, La [1 ,2 ]
Huang, Jiasheng [3 ]
He, Jiawei [4 ]
Wu, Yifan [1 ,2 ]
Liu, Xusheng [1 ,2 ]
Hou, Haijing [1 ,2 ]
Lindholm, Bengt [5 ]
Lu, Fuhua [1 ,2 ]
Su, Guobin [1 ,2 ,6 ]
机构
[1] Guangzhou Univ Chinese Med, Clin Med Coll 2, Guangzhou 510000, Peoples R China
[2] Guangzhou Univ Chinese Med, Guangdong Prov Hosp Chinese Med, Affiliated Hosp 2, Dept Nephrol, Guangzhou 510000, Peoples R China
[3] Guangzhou Univ Chinese Med, Shenzhen Hosp, Dept Nephrol, Shenzhen 518000, Peoples R China
[4] Peking Univ First Hosp, Dept Nephrol, Beijing City 100034, Peoples R China
[5] Karolinska Inst, Dept Clin Sci Intervent & Technol, Div Renal Med & Baxter Novum, S-11228 Stockholm, Sweden
[6] Karolinska Inst, Dept Med Epidemiol & Biostat, S-11228 Stockholm, Angola
基金
中国国家自然科学基金;
关键词
Chronic kidney disease; Frailty; Prevalence; Associated factors; Cross-sectional study; PHYSICAL-ACTIVITY; OLDER-ADULTS; MORTALITY; OUTCOMES; SCALE; PREDICTOR; NUTRITION; INDEX; RISK; MASS;
D O I
10.1007/s11255-023-03720-z
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Aim Frailty is common and is reported to be associated with adverse outcomes in patients with chronic diseases in Western countries. However, the prevalence of frailty remains unclear in individuals with chronic kidney disease (CKD) in China. We examined the prevalence of frailty and factors associated with frailty in patients with CKD.Methods This was a cross-sectional analysis of 177 adult patients (mean age 54 & PLUSMN; 15 years, 52% men) with CKD from the open cohort entitled Physical Evaluation and Adverse outcomes for patients with chronic Kidney disease IN Guangdong (PEAKING). Frailty at baseline were assessed by FRAIL scale which included five items: fatigue, resistance, ambulation, illnesses, and loss of weight. Potential risk factors of frailty including age, sex, body mass index, and daily step counts recorded by ActiGraph GT3X + accelerometer were analyzed by multivariate logistic regression analysis.ResultsThe prevalence of prefrailty and frailty was 50.0% and 11.9% in patients with stages 4-5 CKD, 29.6% and 9.3% in stage 3, and 32.1% and 0 in stages 1-2. In the multivariate logistic regression analysis, an increase of 100 steps per day (OR = 0.95, 95% CI 0.91-0.99, P = 0.01) and an increase of 5 units eGFR (OR = 0.82, 95% CI 0.68-0.99, P = 0.045) were inversely associated with being frail; higher BMI was associated with a higher likelihood of being frail (OR = 1.52, 95% CI 1.11-2.06, P = 0.008) and prefrail (OR = 1.25, 95% CI 1.10-1.42, P = 0.001).Conclusion Frailty and prefrailty were common in patients with advanced CKD. A lower number of steps per day, lower eGFR, and a higher BMI were associated with frailty in this population.
引用
收藏
页码:751 / 758
页数:8
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