Author/Authors :
Alijanian, Neda Department of Internal Medicine - School of Medicine, Isfahan University of Medical Sciences, Isfahan , Liaghat, Lida Department of Internal Medicine - School of Medicine, Isfahan University of Medical Sciences, Isfahan , Samani, Rahil Riahi Department of Internal Medicine - School of Medicine, Isfahan University of Medical Sciences, Isfahan , Shahidi, Shahrzad Associate Professor, Isfahan Kidney Disease Research Center - Department of Nephrology - School of Medicine, Isfahan University of Medical Scien , Emami Naini, Afsoon Professor, Isfahan Kidney Disease Research Center - Department of Nephrology - School of Medicine, Isfahan University of Medical Sciences, Isfahan
Abstract :
Dry weight (DW) is an important concept related to patients undergoing hemodialysis. Conventional method seems
to be time consuming and operator dependent. Bio impedance analysis (BIA) is a new and simple method reported to be an accurate
way for estimating DW. In this study, we aimed to compare the conventional estimation of DW with measuring DW by BIA.
Materials and Methods: This study involved 130 uremic patients, performed in Isfahan, Iran. DW was calculated by both conventional
(CDW) and BIA (BIADW) method and results were compared based on different grouping factors including sex, underlying cause of
renal failure (RF) (diabetic RF and non‑diabetic RF), body mass index (BMI) status, and sessions of hemodialysis. We also calculated
the difference between DWs of 2 methods (DW diff = CDW‑BIADW). Results: The mean of BIADW was significantly lower than
CDW (57.20 ± 1.82 vs 59.36 ± 1.77, P value < 0.001). After grouping cases according to the underlying cause, BMI, sex, and dialysis
sessions BIADW was significantly lower than CDW. Conclusion: Based on the combination of problems with CDW measurement
which are corrected by BIA, and more clinical reliability of CDW, we concluded that although conventional method is a time‑consuming
and operator‑dependent way to assess DW, DW could be estimated by combining both of these methods by finding the mathematic
correlation between these methods.