Purpose:To develop a prognostic model to estimate postoperative urinary retention (POUR) after lower limb arthroplasty.Methods:One thousand two hundred twenty patients underwent 1,374 joint replacement operations (812 knees and 562 hips) between December 2008 and May 2014. Detailed variables were collected. A multivariable logistic regression model was used to identify the independent predictors for POUR. Boot strapping and stepwise elimination was used to design a predictive nomogram.Results:There were 124 incidents of POUR (9.02%) in 118 patients (90 knee, 34 hip, P = 0.001). On univariate analysis, patients who developed POUR were older (P < 0.001), had higher American Association of Anesthesiology scores (P = 0.007), underwent knee replacement (0.001), were obese (body mass index > 35) (P = 0.04), and were hypertensive (P = 0.029), with a history of benign prostatic hyperplasis (BPH) (P < 0.001) or neurologic disorders (P = 0.024). On multivariable analysis, age (60 to 69 years, P = 0.023, 70 to 79 yrs P = 0.008, >80 years P = 0.003), knee replacement (P = 0.014), and history of BPH (P = 0.013) were the independent predictors of POUR. A score was assigned to each predictor (total = 31). The C-index was 0.65. There were three risk categories as follows: 0 to 50, 51 to 85, and 86+ points resulting in 3.3%, 7.2%, and 14.0% risk of retention, respectively.Discussion:This nomogram reliably predicts the risk of POUR in patients undergoing hip and knee arthroplasties and may help planning preoperative interventions to decrease the risk of this complication.
|Original language||English (US)|
|Journal||Journal of the American Academy of Orthopaedic Surgeons Global Research and Reviews|
|State||Published - 2020|
ASJC Scopus subject areas
- Orthopedics and Sports Medicine