Here’s a possible revision:
We retrospectively identified all eligible adults diagnosed with SBS and admitted to an academic hospital center between January 2010 and December 2019 from the hospital records database. To investigate risk factors for osteopenia, we performed univariate and multivariate logistic regression models to estimate the odds ratio (OR) with 95% confidence intervals (CI). We used multivariate logistic regression to develop a predictive nomogram for osteopenia occurrence. We evaluated the discriminatory capacity of the nomogram using receiver operating characteristic (ROC) curve analysis and area under the curve (AUC), and assessed its clinical utility through decision curve analyses (DCA). Predictive accuracy was also assessed, and validation was performed using bootstrapping.
