Predictors | Main model^{*} | Second model^{*} | ||||
---|---|---|---|---|---|---|

OR | 95% CI | P | OR | 95% CI | P | |

Preoperative number of diabetes medications | 2.04 | (1.54, 2.71) | <0.001 | 2.13 | (1.58, 2.87) | <0.001 |

Preoperative duration of diabetes (years) | 1.08 | (1.02, 1.14) | 0.005 | 1.10 | (1.03, 1.16) | 0.002 |

Type of surgery (SG vs. RYGB) | 2.21 | (1.22, 4.01) | 0.009 | — | — | — |

Weight loss at 1 year (%) | — | — | — | 0.92 | (0.89, 0.95) | <0.001 |

Late weight regain^{#} | — | — | — | 3.69 | (2.18, 6.24) | <0.001 |

Main model^{*} | Second model^{*} | |||||

Multiple logistic regression equation^{^} | L = −2.4917 + (0.0789 × preoperative duration of diabetes) + (0.714 × preoperative number of diabetes medications) + (0.7929 × [1, for SG, or 0, for RYGB]) | L = −0.729 + (0.0919 × preoperative duration of diabetes) + (0.7565 × preoperative number of diabetes medications) − (0.0877 × short-term weight loss) + (1.3059 × [1, for late weight regain, or 0, for no weight regain]) |

↵* Main model to be used before surgery to predict late diabetes relapse based on preoperative characteristics; second model to be used 1 year after bariatric surgery to predict late relapse based on preoperative characteristics and weight changes.

↵# Categorical variable defined as >5% weight regain from the weight recorded 1 year after bariatric surgery.

↵^ Estimated probability of late relapse of diabetes after initial remission for a given patient (100%) = EXP [L]/(1 + EXP [L]). The notation EXP is equivalent to ex, where “e” is the base of the ln (2.718).