Incidence and Prediction of Postoperative Urinary Retention Following Lumbar Decompression.

Abstract

BACKGROUND Postoperative urinary retention (POUR), a common complication after spine surgery, can contribute to longer hospital stays, urinary tract infection, pain, and morbidity. This study aimed to determine the incidence of POUR in patients who underwent lumbar decompression and to construct a predictive model for preoperatively identifying high-risk patients. METHODS This was a retrospective review of patients undergoing primary lumbar decompression from 2017 to 2023. Demographic characteristics, comorbidities, and perioperative data were collected. Factors associated with POUR were assessed, and multivariable logistic regressions were performed to identify independent predictors of the development of POUR. A nomogram to predict the development of POUR was developed within a training subset, based on a multivariable logistic regression model of preoperative variables, followed by the internal validation of the model in a validation subset and assessment of its performance. RESULTS Of the 1,938 patients included in this study, 133 (6.9%) developed POUR. Following multivariable analysis, the following risk factors for POUR were identified: a history of urinary retention (odds ratio [OR], 4.956 [95% confidence interval (CI), 2.157 to 11.383]; p < 0.001), insurance that was not commercial (private) (OR, 2.256 [95% CI, 1.298 to 3.922]; p = 0.004), intraoperative Foley catheter use (OR, 5.967 [95% CI, 3.506 to 10.156]; p < 0.001), inpatient opioid consumption of >93 morphine milligram equivalents (OR, 1.898 [95% CI, 1.220 to 2.952]; p = 0.004), and anticholinergic medication use during hospitalization (OR, 3.450 [95% CI, 2.313 to 5.148]; p < 0.001). The nomogram, which included the preoperative variables of male sex, age of >65 years, history of urinary retention, history of benign prostatic hyperplasia, not having commercial insurance, and American Society of Anesthesiologists (ASA) classification of >2, demonstrated good discrimination in the training subset (area under the curve [AUC], 0.725 [95% CI, 0.673 to 0.776]) and the validation subset (AUC, 0.709 [95% CI, 0.599 to 0.819]). The Hosmer-Lemeshow goodness-of-fit test demonstrated that the model fit the data well (chi-square test = 9.063; p = 0.170). CONCLUSIONS The incidence of POUR after lumbar decompression surgery was found to be 6.9%. A history of urinary retention, not having commercial (private) insurance, intraoperative Foley catheter usage, inpatient opioid consumption of >93 morphine milligram equivalents, and the administration of anticholinergic medication during hospitalization increased the risk of developing POUR. Furthermore, we constructed a preoperative predictive model with good performance metrics to help clinicians to identify patients at elevated risk for developing POUR. LEVEL OF EVIDENCE Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.