Comparison of the prevalence and associated factors of cognitive frailty between elderly and middle-young patients receiving maintenance hemodialysis

Abstract

Purpose This study aimed at comparing the prevalence of cognitive frailty and explore the differences in the influencing factors between elderly and middle-young patients receiving maintenance hemodialysis (MHD). Methods In this cross-sectional study, the frailty phenotype, mini-mental state examination, and clinical dementia rating were used to assess the current status of cognitive frailty in 852 patients receiving MHD from four hospitals in Lianyungang City and Xuzhou City, Jiangsu Province, China; the influencing factors were then analyzed for statistical significance. Results Of the total 852 patients receiving MHD, 340 were classified into an elderly group (≥ 60 years) and 512 into a middle-young group (< 60 years). The prevalence of cognitive frailty was 35.9% and 8.8%, respectively. The results of multivariate logistic regression analysis showed that the independent factors of cognitive frailty were age (P < 0.001), education level (P = 0.010), nutritional status (P = 0.001), serum albumin level (P = 0.010), calf circumference (P = 0.024), and social support level (P < 0.001) in the elderly group and comorbidity status (P = 0.037), education level (P < 0.001), nutritional status (P = 0.008), serum creatinine level (P = 0.001), waist circumference (P < 0.001), and depression (P = 0.006) in the middle-young group. Conclusion The prevalence of cognitive frailty was significantly higher in the elderly group than in the middle-young group, and the influencing factors differed between the two populations.

Comparison of the prevalence and associated factors of interdialytic fatigue and post-dialysis fatigue among maintenance hemodialysis patients: A cross-sectional study

“…Our study revealed that age and resilience was the common in uencing factors for IDF and PDF. According to The World Health Organization de nation of age in developing country, over 60 year of age was considered as elderly group [20]. In this study, elderly group(≥ 60 years) was a major risk factor in both IDF and PDF.…”

The prevalence and influencing factors of cognitive frailty in patients with maintenance hemodialysis in China: a meta-analysis

“…According to the search strategy, 2311 relevant literatures were initially detected, 2 literatures were obtained through other channels, 453 duplicate literatures were initially excluded, 1822 literatures were excluded after reading the title and abstract, 28 literatures were excluded after further reading the full text, and 10 literatures [17][18][19][20][21][22][23][24][25][26] were nally included, including 9 cross-sectional studies and 1 cohort study, as shown in Fig. 1.…”

“…Sensitivity analysis of ≥ 10 literatures [17][18][19][20][21][22][23][24][25][26] was performed, and no single study was found to signi cantly affect the total effect size. After excluding any one study, there was no signi cant change in the combined results, so the results were considered to be stable.…”

Prevalence and modifiable risk factors of cognitive frailty in patients with chronic heart failure in China: a cross-sectional study

“…These include brain changes, vascular mechanisms, inflammation, hormones, sarcopenia, oxidative stress process, mitochondrial dysfunction and intestinal microbiome changes, all of which have a significant impact on physical frailty and cognitive function [ 11 ]. Simultaneously, it was found that the prevalence of CF in the elderly and middle-young patients undergoing maintenance hemodialysis was 35.8% and 8.8%, respectively, indicating that middle-young patients are equally susceptible to CF [ 19 ]. Our study found that the prevalence of CF was 17.1% among middle-young CHF patients, suggesting that the prevalence of CF in CHF patients of different age ranges should not be ignored.…”

“…However, the effect of depression in CF remains controversial and we need to explore future [ 16 , 17 ]. Social support has been shown to be an influential factor for CF in hypertensive patients [ 18 ] and other studies have found the effects of BMI and nutrition status of CF [ 19 ]. This study includes some known influencing factors of CF and hypothesizes that these factors are also relevant for patients with CHF.…”