Document Detail

Body surface area prediction in normal-weight and obese patients.
MedLine Citation:
PMID:  11500314     Owner:  NLM     Status:  MEDLINE    
None of the equations frequently used to predict body surface area (BSA) has been validated for obese patients. We applied the principles of body size scaling to derive an improved equation predicting BSA solely from a patient's weight. Forty-five patients weighing from 51.3 to 248.6 kg had their height and weight measured on a calibrated scale and their BSA calculated by a geometric method. Data were combined with a large series of published BSA estimates. BSA prediction with the commonly used Du Bois equation underestimated BSA in obese patients by as much as 20%. The equation we derived to relate BSA to body weight was a power function: BSA (m(2)) = 0.1173 x Wt (kg)(0.6466). Below 10 kg, this equation deviated significantly from the BSA vs. body weight curve, necessitating a different set of coefficients: BSA (m(2)) = 0.1037 x Wt (kg)(0.6724). Covariance of height and weight for patients weighing <80 kg reduced the Du Bois BSA-predicting equation to a power function, explaining why it provides good BSA predictions for normal-size patients but fails with obesity.
E H Livingston; S Lee
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  American journal of physiology. Endocrinology and metabolism     Volume:  281     ISSN:  0193-1849     ISO Abbreviation:  Am. J. Physiol. Endocrinol. Metab.     Publication Date:  2001 Sep 
Date Detail:
Created Date:  2001-08-13     Completed Date:  2001-09-06     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  100901226     Medline TA:  Am J Physiol Endocrinol Metab     Country:  United States    
Other Details:
Languages:  eng     Pagination:  E586-91     Citation Subset:  IM    
Veterans Affairs Medical Center, Greater Los Angeles Health Care System, 11301 Wilshire Blvd., Los Angeles, CA 90073, USA.
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MeSH Terms
Body Height
Body Mass Index
Body Surface Area*
Body Weight*
Obesity / physiopathology*
Regression Analysis

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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