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Related Experiment Videos

Predictors of body surface area.

Y Wang1, J Moss, R Thisted

  • 1Department of Anesthesia and Critical Care, University of Chicago, IL 60637.

Journal of Clinical Anesthesia
|January 1, 1992
PubMed
Summary
This summary is machine-generated.

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The DuBois and DuBois formula accurately calculates body surface area (BSA) in diverse patient groups, including neonates and parturients. Despite its limitations, this formula remains a valid predictor for BSA across various body sizes.

Area of Science:

  • Medical Informatics
  • Clinical Pharmacology
  • Biostatistics

Background:

  • Accurate body surface area (BSA) calculation is crucial for various clinical applications, including drug dosing and fluid management.
  • Existing BSA formulas have varying degrees of accuracy and applicability across different patient populations.

Purpose of the Study:

  • To evaluate the accuracy of commonly used body surface area (BSA) prediction formulas.
  • To assess the applicability of these formulas to specific patient groups, namely neonates and parturients.

Main Methods:

  • Assessed 15 prediction formulas using 395 literature-derived BSA measurements.
  • Employed the root mean squared error (RMSE) for accuracy assessment.
  • Compared DuBois and DuBois predictions with actual BSA using scatter plots and analyzed percentage errors across body sizes.

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Main Results:

  • The DuBois and DuBois formula demonstrated good accuracy (RMSE = 6.3%) across a wide range of body surface areas (BSAs) and patient types.
  • While absolute error increased with BSA, percentage error was highest in infants, with the formula tending to underestimate their BSA.
  • No significant differences in predictive accuracy were found based on gender, age, or body habitus.

Conclusions:

  • Multiple body surface area (BSA) formulas, including DuBois and DuBois, adequately predict measured BSA in diverse patient populations.
  • The DuBois and DuBois formula, despite its derivation from a limited sample excluding extremes, is a valid predictor of BSA.