Table 3.
Multivariate logistic regression model for long-term diabetes remission after RYGB considering baseline variables and postoperative weight loss data
| Variables | OR | 95% CI | P value | z value |
|---|---|---|---|---|
| Sex (male vs. female) | 1.22 | 0.72–2.06 | 0.465 | 0.730 |
| Age at surgery | 0.98 | 0.95–1.00 | 0.088 | 1.707 |
| BMI before surgery | 1.01 | 0.98–1.04 | 0.550 | 0.597 |
| Percent total weight loss in long term | 1.05 | 1.03–1.08 | <0.001 | 4.317 |
| Duration of diabetes | 0.86 | 0.81–0.91 | <0.001 | 5.093 |
| Preoperative insulin use (yes vs. no) | 0.32 | 0.18–0.57 | <0.001 | 3.825 |
| Preoperative number of diabetes medications | 0.49 | 0.36–0.67 | <0.001 | 4.526 |
| Poor glycemic control (HbA1c >7%) (yes vs. no) | 0.45 | 0.26–0.76 | 0.003 | 2.978 |
| Steatosis (yes vs. no) | 2.21 | 1.14–4.31 | 0.020 | 2.335 |
| Lobular inflammation (yes vs. no) | 1.19 | 0.66–2.11 | 0.565 | 0.576 |
| Hepatocyte ballooning (yes vs. no) | 0.67 | 0.35–1.31 | 0.244 | 1.165 |
| Fibrosis (yes vs. no) | 0.97 | 0.53–1.77 | 0.910 | 0.113 |
N = 505, as long-term weight loss data could not be retrieved for 14 patients. z value is the absolute value of regression coefficient divided by its SE. A larger z value indicates a stronger statistical relation of factor on outcome. As a rule of thumb, if the absolute value of the z value is larger than cutoff value of 2.0, the variable is significant. Significant P values (P < 0.05) and z values (z > 2.0) are presented in bold.