Handgrip strength and body mass index exhibit good predictive value for sarcopenia in patients on peritoneal dialysis

作者：Hongyan Li, Yuanhua Zheng, Yuanyuan Zhang, Yuanyuan Zhang, Xiaotian Zhang, Wei Luo, Weiyi Zhu, Yaqing Zhang, Yaqing Zhang · 发表于：Frontiers in Nutrition · 年份：2024 · DOI：10.3389/fnut.2024.1470669 · 被引用次数：3 · 研究领域：Nutrition and Health in Aging、Dialysis and Renal Disease Management、Body Composition Measurement Techniques

Aim The diagnosis of sarcopenia in patients on peritoneal dialysis (PD) in clinics is limited owing to its relatively complicated process and the need for expensive assessment equipment. This study aimed to develop and validate sex-specific nomogram models based on body mass index (BMI), handgrip strength, and other routine follow-up examination indicators to predict sarcopenia in patients on PD. Methods From March 2023 to February 2024, 699 eligible patients were recruited from the PD centers of two tertiary hospitals in southeastern China. Routine follow-up examination indicators such as age, BMI, biochemical indicators, dialysis adequacy, handgrip strength, and five-repetition sit-to-stand test, were used as potential predictive variables. Multivariate logistic regression analyses were used to separately determine the predictive factors for men and women. Nomogram models were constructed based on the results of the multivariate analyses, which were internally validated using a bootstrap re-sampling method ( n = 2000). Predictive performance was validated using a receiver operating characteristic (ROC) curve. Results The prevalence of sarcopenia in Chinese patients on PD was 13.92%. The nomogram models based on multivariate analyses revealed both handgrip strength and BMI as independent predictors of sarcopenia in men and women on PD. The bootstrap-corrected area under the ROC curves of the models was 0.924 (95% CI: 0.888–0.959) and 0.936 (95% CI, 0.906–0.966) for men and w...