Literature DB >> 21109735

Analysis of past and present methods of measuring and estimating body surface area and the resulting evaluation of its doubtful suitability to universal application.

Giancarlo Ruggieri1, Anna Rachele Rocca.   

Abstract

Body surface area (BSA) is probably the most used tool for indexing physiological functions. The most relevant past and present measuring methods have been examined, and an analysis of selected methods used to measure and to estimate was performed. The evaluation of methods demonstrates a relationship between past and present measuring methods, but also highlights the doubtfulness of their suitability due to the criteria used to select the population for measurements and to estimate BSA by formulae, due to the weight variance according to the same height and the lack of a numeric estimate of the body shape. The use of BSA formulae generated from a population with anthropometric measures different from those of a population where the formulae are applied, and the change in today's BSA towards 1.73 m(2) can induce risks by incorrectly estimating GFR and in planning dialysis prescriptions.
Copyright © 2010 S. Karger AG, Basel.

Mesh:

Year:  2010        PMID: 21109735     DOI: 10.1159/000321072

Source DB:  PubMed          Journal:  Blood Purif        ISSN: 0253-5068            Impact factor:   2.614


  3 in total

1.  Normalization of glomerular filtration rate in obese children.

Authors:  Liane Correia-Costa; Franz Schaefer; Alberto Caldas Afonso; Manuela Bustorff; João Tiago Guimarães; António Guerra; Henrique Barros; Ana Azevedo
Journal:  Pediatr Nephrol       Date:  2016-03-23       Impact factor: 3.714

2.  Determinants and within-person variability of urinary cadmium concentrations among women in northern California.

Authors:  Robert B Gunier; Pamela L Horn-Ross; Alison J Canchola; Christine N Duffy; Peggy Reynolds; Andrew Hertz; Erika Garcia; Rudolph P Rull
Journal:  Environ Health Perspect       Date:  2013-04-03       Impact factor: 9.031

3.  Genetic variants predicting left ventricular hypertrophy in a diabetic population: a Go-DARTS study including meta-analysis.

Authors:  Helen M Parry; Louise A Donnelly; Natalie Van Zuydam; Alexander Sf Doney; Douglas Hj Elder; Andrew D Morris; Alan D Struthers; Colin Na Palmer; Chim C Lang
Journal:  Cardiovasc Diabetol       Date:  2013-07-23       Impact factor: 9.951

  3 in total

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