Weight loss reporting: predicted body mass index after bariatric surgery.
BMI and %EBMIL are the most accurate methods for comparing results of patients after bariatric surgery. %EBMIL is based on BMI 25 as a constant end-point for all patients, but BMI 25 is easily achieved by patients with BMI < 50, whereas it is not so feasible for patients with BMI > 50. We were prompted to obtain by statistical methods a mathematical formula able to calculate the final BMI (FBMI) 3 years after the operation, dependent on the initial or preoperative BMI (IBMI) of a multicenter group of morbid obese patients operated with different bariatric techniques. We also obtained a specific formula for each bariatric procedure of this group of patients. We propose the name Predicted BMI for the value obtained with these formulas and its application in the %EBMIL instead of the constant value of BMI 25. We have analyzed the IBMI and FBMI of a multicenter group of 7,410 patients, subjected to different bariatric procedures with a minimum follow-up of 36 months. Statistical methods with a linear regression model have been used to obtain the two types (global and specific) of Predicted BMI. We first obtained a general formula of PBMI = IBMI x 0.4 + 11.75 for the total population of patients, and a second specific formula for each bariatric technique: PBMI = IBMI x 0.43 + 13.25 + technique_correction_adjustment. Predicted BMI and its application to the %EBMIL may result in a more rational comparison of results of bariatric patients, bariatric techniques, and groups of bariatric surgeons. Predicted BMI may advance the BMI that each patient would probably achieve after surgery.
Baltasar
Aniceto
A
Clínica San Jorge, Cid 61, 03803, Alcoy, Alicante, Spain, a.baltasar@aecirujanos.es.
Perez
Nieves
N
Serra
Carlos
C
Bou
Rafael
R
Bengochea
Marcelo
M
Borrás
Fernando
F
D050110:Bariatric Surgery / Q000592:standards; D015992:Body Mass Index; D006801:Humans; D011184:Postoperative Period; D009626:Terminology as Topic; D016896:Treatment Outcome; D015431:Weight Loss