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November 14, 2020Obesity Surgery25 citationsOpen Access

Development and Validation of a Predictive Model of Success in Bariatric Surgery

CBCarina Andriatta BlumePBPriscila G. Brust‐RenckMRMIRIAM KARLA ROCHA

Structured PICO

What preoperative characteristics predict success 12 months after Roux-en-Y gastric bypass?

P
Population
461 patients submitted to Roux-en-Y gastric bypass
I
Intervention
Development and validation of a predictive model using partial least squares (PLS) regression and multiple linear regression
O
Outcome
Success of the surgery (composite of excess weight loss, use of CPAP/BiPAP for OSA, daily number of antidiabetics, daily number of antihypertensive drugs, and all-cause mortality) at 12 monthscomposite

A predictive model using preoperative clinical characteristics can accurately predict 12-month success after Roux-en-Y gastric bypass, potentially aiding patient prioritization.

Abstract

PURPOSE: There are no criteria to establish priority for bariatric surgery candidates in the public health system in several countries. The aim of this study is to identify preoperative characteristics that allow predicting the success after bariatric surgery. MATERIALS AND METHODS: Four hundred and sixty-one patients submitted to Roux-en-Y gastric bypass were included. Success of the surgery was defined as the sum of five outcome variables, assessed at baseline and 12 months after the surgery: excess weight loss, use of continuous positive airway pressure (CPAP) or bilevel positive airway pressure (BiPAP) as a treatment for obstructive sleep apnea (OSA), daily number of antidiabetics, daily number of antihypertensive drugs, and all-cause mortality. Partial least squares (PLS) regression and multiple linear regression were performed to identify preoperative predictors. We performed a 90/10 split of the dataset in train and test sets and ran a leave-one-out cross-validation on the train set and the best PLS model was chosen based on goodness-of-fit criteria. RESULTS: The preoperative predictors of success after bariatric surgery included lower age, presence of non-alcoholic fatty liver disease and OSA, more years of CPAP/BiPAP use, negative history of cardiovascular disease, and lower number of antihypertensive drugs. The PLS model displayed a mean absolute percent error of 0.1121 in the test portion of the dataset, leading to accurate predictions of postoperative outcomes. CONCLUSION: This success index allows prioritizing patients with the best indication for the procedure and could be incorporated in the public health system as a support tool in the decision-making process.

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Cite This Study

Blume et al. (2020) studied this question.

synapsesocial.com/papers/6a85cf33c4cfcaf75fbc70b8https://doi.org/10.1007/s11695-020-05103-0
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