Development and validation of a diagnostic nomogram for sarcopenia in Chinese hemodialysis patients

肌萎缩 医学 列线图 血液透析 透析 置信区间 肾脏疾病 握力 内科学 物理疗法
作者
Danshu Xie,Qin Zhu,Jianxin Lü,Chun Hu,Jianying Niu,Chen Yu,Junli Zhao,Liming Zhang,Hualin Qi,Suhua Zhang,Qi Guo,Feng Ding,Wei Ding
出处
期刊:Nephrology Dialysis Transplantation [Oxford University Press]
卷期号:38 (4): 1017-1026 被引量:5
标识
DOI:10.1093/ndt/gfac260
摘要

ABSTRACT Background Sarcopenia is a clinical condition that is common in patients with chronic kidney disease (CKD), especially in those on dialysis. However, the relatively complicated diagnostic procedure limits its use in clinical situations. In this study we aimed to establish a simplified tool for the diagnosis of sarcopenia in patients on hemodialysis (HD). Methods Overall, 757 eligible patients from seven HD centers in Shanghai and Suzhou, China, were recruited from 2020 to 2021. The cross-sectional data were analyzed. Sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia 2019 criteria. Among them, 511 consecutive patients (77 with and 434 without sarcopenia) from five centers were included in the training set for the establishment of a diagnostic nomogram. Ten investigative parameters including clinical characteristics, body measurements and physical performance were used to derive the diagnostic nomogram. A total of 246 consecutive patients (47 with and 199 without sarcopenia) were included for validation of the diagnostic model. Results The average age of the enrolled patients was 60.4 ± 12.1 years, 59.8% were males and 90.5% received dialysis using an arteriovenous fistula. Overall, the sarcopenia rate was 16.4%. The training and validation sets showed no significant differences in sarcopenia rate (15.1% and 19.1%, respectively; P = .160). The nomogram derived from the training set for sarcopenia, which was based on only four features—age, sex, body weight and grip strength—achieved high C-indexes of 0.929 [95% confidence interval (CI) 0.904–0.953] and 0.955 (95% CI 0.931–0.979) in the training and external sets, respectively, and had a well-fitted calibration curve. The cut-off value was 0.725, with a sensitivity of 0.909 and a specificity of 0.816. The nomogram accurately diagnosed sarcopenia with fewer variables and more simplified diagnostic procedures. Conclusions The nomogram had a good diagnostic capability for sarcopenia in patients on HD and may be a convenient tool for clinical use.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
微末发布了新的文献求助10
1秒前
今后应助xmn采纳,获得10
1秒前
GGbond发布了新的文献求助10
1秒前
纯真傲之发布了新的文献求助10
2秒前
科研通AI6.4应助田20202021采纳,获得10
2秒前
2秒前
致意发布了新的文献求助10
2秒前
Akim应助来福采纳,获得10
4秒前
CipherSage应助YU采纳,获得10
4秒前
4秒前
4秒前
青柠发布了新的文献求助10
5秒前
GGbond完成签到,获得积分10
7秒前
lucky完成签到 ,获得积分10
7秒前
7秒前
csghgh完成签到,获得积分10
7秒前
初景发布了新的文献求助10
8秒前
8秒前
安妮完成签到 ,获得积分10
9秒前
星辰大海应助木子采纳,获得10
9秒前
研友_VZG7GZ应助星落枝头采纳,获得10
9秒前
enchanted完成签到,获得积分10
10秒前
成就红牛完成签到 ,获得积分10
10秒前
10秒前
li发布了新的文献求助10
11秒前
科目三应助隐形尔蝶采纳,获得10
11秒前
可可发布了新的文献求助10
11秒前
12秒前
勤奋的白萱完成签到,获得积分10
13秒前
yz应助王永凯采纳,获得20
14秒前
15秒前
15秒前
科研通AI6.2应助xiaohululu采纳,获得100
15秒前
peppa发布了新的文献求助10
15秒前
芒go完成签到,获得积分10
15秒前
Basang发布了新的文献求助10
16秒前
梨白发布了新的文献求助10
16秒前
16秒前
Enma完成签到,获得积分10
17秒前
高分求助中
Les chinois de jakarta: temples et vie collective 1000
Autoparametric Resonance in Mechanical Systems 1000
Social Psychology 800
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7648891
求助须知:如何正确求助?哪些是违规求助? 9221448
关于积分的说明 19794900
捐赠科研通 7214669
什么是DOI,文献DOI怎么找? 3277947
关于科研通互助平台的介绍 2438966
邀请新用户注册赠送积分活动 2276294