Ignite Creation Date:
2025-12-24 @ 11:32 PM
Ignite Modification Date:
2026-01-06 @ 9:56 AM
Study NCT ID:
NCT02325856
Status:
COMPLETED
Last Update Posted:
2016-02-02
First Post:
2014-12-22
Is Gene Therapy:
True
Has Adverse Events:
True
Brief Title:
Application of Bioimpedance Spectroscopy in Taiwan Dialysis Patients
Sponsor:
An Hsin QingShui Clinic
Organization:
Study Overview
Official Title:
Effect of Post-dialysis Weight Evaluated With Bioimpedance Spectroscopy on Dialysis Morbidities and Clinical Outcomes in Hemodialysis Patients: A Randomized Controlled Trial
Status:
COMPLETED
Status Verified Date:
2015-07
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
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.
Detailed Description:
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.
Study Oversight
Has Oversight DMC:
True
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: