Antibiotic Stewardship and Postoperative Infections in Urethroplasties.

OBJECTIVE: To determine surgical site infection and urinary tract infection (UTI) rates in the setting of urethroplasty. Given significant variation in the utilization of antibiotics, there is an opportunity to improve antibiotic stewardship. This study aims to elucidate the rate of both UTI and surgical site infection after urethroplasty on a standardized perioperative antibiotic regimen, and to obtain patient and operative characteristics that may predict infection. METHODS: We prospectively treated 390 patients undergoing urethroplasty at 11 centers with a standardized perioperative antibiotic protocol. Patients had a urine culture or urine analysis within 3 weeks of surgery. After surgery, patients were discharged with an indwelling catheter, removed per usual surgeon practice. All were given nitrofurantoin from discharge until catheter removal. Logistic regression analyses were performed to determine the correlation between patient characteristics or operative categories with post-operative infection. RESULTS: The rates of postoperative UTI and wound infection within 30 days were 6.7% and 4.1%, respectively. On multivariate analysis of demographics, comorbidities, and stricture characteristics and repair, only preoperative UTI (P = .012), history of cardiovascular disease (P = .015), and performing a membranous urethroplasty (0.018) were significant predictors of a UTI within 30 days postoperatively. Location of repair nor graft use increased the risk of UTI. There were no factors predictive of postoperative wound infection. CONCLUSION: A standardized antibiotic protocol was created to narrow and limit excess antibiotic use. This protocol, with clear definitions of UTI and wound infection, allowed determination of accurate infection rates in urethroplasties. Preoperative UTI, even when properly treated, increases the risk of postoperative UTI.

Prediction Model for Extended Hospital Stay Among Medicare Beneficiaries After Percutaneous Coronary Intervention.

OBJECTIVE: The authors conducted a retrospective analysis to develop a predictive model consisting of factors associated with extended hospital stay among Medicare beneficiaries undergoing percutaneous coronary intervention (PCI). DESIGN: Retrospective cohort study. SETTING: Multi-institutional. PARTICIPANTS: Data were obtained from the National (Nationwide) Inpatient Sample registry from 2013 to 2014 over a 2-year period. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary outcome was extended hospital stay, which was defined as an inpatient stay greater than 75th percentile for the cohort (≥5 d), among Medicare beneficiaries (fee-for-service and managed care) undergoing PCI. A multivariable logistic regression analysis was built on a training set to develop the predictive model. The authors evaluated model performance with area under the receiver operating characteristic curve (AUC) and performed k-folds cross-validation to calculate the average AUC. The final analysis included 91,880 patients. Inpatient hospital length of stay ranged from 0 to 247 days, with 3 and 5 days as the median and 3rd quartile hospital stay, respectively. The final multivariable analysis suggested that sociodemographic variables, hospital-related factors, and comorbidities were associated with a greater odds of extended hospital stay (all p < 0.05). The use of PCI with drug-eluting stent was associated with a 31% decrease in extended hospital stay (odds ratio 0.69, 95% confidence interval 0.66-0.72; p < 0.001). Model discrimination was deemed excellent with an AUC (95% confidence interval) of 0.814 (0.811-0.817) and 0.809 (0.799-0.819) for the training and testing sets, respectively. CONCLUSION: The authors' predictive model identified risk factors that have a higher probability of extended hospital stay. This model can be used to improve periprocedural optimization and improved discharge planning, which may help to decrease costs associated with PCIs. Management of Medicare beneficiaries after PCI calls for a multidisciplinary approach among healthcare teams and hospital administrators.