WHO class-specific equations using height for predicting body weight: crude indicator for dry weight in haemodialysis patients.
OBJECTIVE
Body weight (BW) might be related to total body water, and the difference between a patient's actual BW and ideal BW (IBW) might be the volume marker. However, there has been no information about the association between IBW and dry weight (DW) in haemodialysis (HD) patients.


METHODS
First, we analysed the relationship between DW and IBW in 51 HD patients. The IBW was calculated by 21 x Height (Ht)(2). Weight status was analysed by the WHO classification. Second, in 12 436 controls, linear equations using Ht(2) were sought to predict the BW in each sex and WHO class. Third, using these equations, predicted BW (PW) was compared with DW in each WHO class at the initiation and after 1 year in 619 new HD patients, retrospectively.


RESULTS
Among 51 HD patients, 38 were normal weight in whom there was no difference between DW and IBW. In each sex and WHO class of the 12 436 controls, linear equations using Ht(2) were developed to predict BW. These equations were applied to 619 new HD patients. In males, there were no differences between PW and DW in underweight (UW), overweight (OW), obese (OB) and extremely obese (EOB) patients at the initiation of the HD. In females, there were no differences between PW and DW in OW patients. Despite no statistical differences, there were wide ranges of distribution from -6 to 6 kg between PW and DW.


CONCLUSIONS
BW had a linear relationship with Ht(2) and might be predictable by the WHO class-specific equation using Ht(2). These equations might be useful as a crude indicator of DW in HD patients.
Lee
Seoung Woo
SW
Division of Nephrology and Hypertension, Department of Internal Medicine, Kidney Disease Research Group, Inha University College of Medicine, Inchon, Korea.
Park
Geun Ho
GH
Lee
Sun Young
SY
Song
Joon Ho
JH
Kim
Moon-Jae
MJ
D000328:Adult; D000368:Aged; D000886:Anthropometry / Q000379:methods*; D001827:Body Height; D001834:Body Water; D001835:Body Weight; D005260:Female; D006801:Humans; D007676:Kidney Failure, Chronic / Q000145:classification / Q000628:therapy*; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D011237:Predictive Value of Tests; D006435:Renal Dialysis; D014944:World Health Organization