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临床试验/NCT02325856
NCT02325856已完成不适用

Effect of Post-dialysis Weight Evaluated With Bioimpedance Spectroscopy on Dialysis Morbidities and Clinical Outcomes in Hemodialysis Patients: A Randomized Controlled Trial

An Hsin QingShui Clinic0 个研究点目标入组 298 人开始时间: 2013年10月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
298
主要终点
All-cause Hospitalization

研究概览

简要总结

A reasonable and simple algorithm was used to guide the dry weight determination with Body Composition Monitor with the principle of Bioimpedance Spectroscopy (BCM-BIS) and analyze the feasibility of this algorithm and evaluate the influence of BCM-BIS-guided fluid management on the incidence of dialysis morbidities and clinical outcomes in maintenance hemodialysis (MHD) patients.

详细描述

298 MHD patients in 6 hemodialysis centers in Taiwan were enrolled in this randomized controlled study. All the participants were randomized into study group ( dry weight (DW) determined by BCM-BIS) and control group ( dry weight determined by clinical symptoms) with stratification by diabetes mellitus and centers. Body composition monitor based on bioimpedance spectroscopy (BCM-BIS) was performed monthly and concomitant biochemical data and clinical outcomes were collected. Intra-dialysis complications were recorded in every dialysis session. Primary outcome was all-cause hospitalization. Secondary outcomes included 1) complications during DW adjustment 2) intra-dialysis morbidities 3) hypertension 4) mortality 5) acute fluid overload (AFO) or cardiovascular (CV)-related events. The clinical feasibility of the BCM-BIS algorithm was also inspected. Statistical methods: a software (SAS) 9.3 was used for statistical analysis in this study. R 3.0 was used for graphic presentation of parts of the results. Relative risk, incidence rate ratio and Fisher's exact test were used to compare the discrete outcomes in both groups. Survival analysis was used for time-related events. Repeated-measured and longitudinal data were analyzed with the generalized linear mixed model (GLMM) through the procedure for continuous variables (PROC MIXED) and for discrete variables (PROC GLIMMIX) in SAS.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Diagnostic
盲法
None

入排标准

性别
All
接受健康志愿者

入选标准

  • MHD patients with age ≥ 18 and dialysis vintage ≥ 3 months

排除标准

  • coronary stents or pacemaker implantation
  • metallic devices in body, such as artificial joints or pins
  • contralateral or bilateral amputations

结局指标

主要结局

All-cause Hospitalization

时间窗: 1 year

次要结局

  • Complications During DW Adjustment(1 year)

研究者

发起方
An Hsin QingShui Clinic
申办方类型
Other
责任方
Sponsor

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