Biexponential model for predicting weight loss after gastric surgery for obesity

Edward H. Livingston, Jeffrey L. Sebastian, Sergio Huerta, Ian Yip, David Heber

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

Background. Following gastric restrictive surgery, morbidly obese patients rarely achieve their ideal body weight defined by Metropolitan Life tables. The final body weight will depend on the initial body composition because there will be greater weight loss from fat than lean body mass. The purpose of this study was to develop a mathematical model that accurately estimates the rate and extent of weight loss following gastric bypass surgery. Methods. Patients underwent gastric bypass followed by intensive medical therapy and serial bioelectrical impedance analysis (BIA) body composition measurements. Differential equations were derived to model weight loss. Results. Weight loss in the fat and lean body compartments followed monoexponential decay kinetics with differing rate constants. Total body weight loss (WT) at time t was WT = kf/(kf - k1) (Wfoe-kft + Wloe-k1t), where Wfo and Wlo are the initial fat and lean body masses determined by BIA and kf and kl are the rate constants for the fat and lean compartments, respectively. Following surgically induced weight loss, kf = 7.61 ± 1.27 × 10-2, and kl = -0.93 ± 0.13 × 10-2, with the ratio of residual sum of the squares to the total sum of the squares of 98.8%. Conclusion. Accurate prediction of weight loss depends on the initial fat and lean compartment mass since each of these loses weight at a different rate and to a different extent. When these effects are accounted for, the total body weight loss can be accurately predicted for any given time following surgery.

Original languageEnglish (US)
Pages (from-to)216-224
Number of pages9
JournalJournal of Surgical Research
Volume101
Issue number2
DOIs
StatePublished - Jan 1 2001

Keywords

  • Biexponential models
  • Bioimpedance analysis
  • Compartment modeling
  • Gastric bypass
  • Mathematical models
  • Obesity surgery
  • Weight loss

ASJC Scopus subject areas

  • Surgery

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