INTRODUCTION: We examine the incidence and predictors of readmission after major urologic cancer surgery using a national, prospective-maintained database specifically developed to assess quality of surgical care. MATERIALS AND METHODS: Patients undergoing major urologic cancer surgery (radical prostatectomy [RP], radical nephrectomy [RNx], partial nephrectomy [PNx]), radical cystectomy [RC]) in 2011 were identified using the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) using Current Procedural Terminology (CPT) codes. Those readmitted within 30 days after surgery were identified. Multivariable logistic regression models examined the association between patient characteristics and the odds of readmission. RESULTS: Overall, we identified 5356 RP, 1301 RNx, 918 PNx and 623 RC patients, of which 206 (3.8%), 533 (6.8%), 348 (6.3%) and 129 (20.7%) were readmitted within 30 days respectively. Independent predictors of readmission for RP included age (Odds Ratio [OR]: 1.02, p = 0.02), American Society of Anesthesiology (ASA) score 3-5 (versus 1-2, OR: 1.35, p = 0.04), smoking status (OR: 1.53, p = 0.04), and the occurrence of wound complications (OR: 9.31, p < 0.001), thromboembolic (OR: 14.7, p < 0.001), and renal failure (OR: 1.62, p = 0.01) complications during the index hospitalization. For RC patients, the only predictor of readmission was age (OR: 0.98, p = 0.04). Predictors of readmission for RNx included higher ASA score (OR: 1.77, p = 0.03), and the presence of any complications during the index hospitalization (OR: 2.21, p = 0.03). CONCLUSIONS: Several patient characteristics have a significant impact on the risk of 30 day readmission after major urologic cancer surgery. Our data suggests that improving prevention and management of complications during the index hospitalization may lead to a substantial decrease in readmission rates.
INTRODUCTION: We examine the incidence and predictors of readmission after major urologic cancer surgery using a national, prospective-maintained database specifically developed to assess quality of surgical care. MATERIALS AND METHODS:Patients undergoing major urologic cancer surgery (radical prostatectomy [RP], radical nephrectomy [RNx], partial nephrectomy [PNx]), radical cystectomy [RC]) in 2011 were identified using the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) using Current Procedural Terminology (CPT) codes. Those readmitted within 30 days after surgery were identified. Multivariable logistic regression models examined the association between patient characteristics and the odds of readmission. RESULTS: Overall, we identified 5356 RP, 1301 RNx, 918 PNx and 623 RC patients, of which 206 (3.8%), 533 (6.8%), 348 (6.3%) and 129 (20.7%) were readmitted within 30 days respectively. Independent predictors of readmission for RP included age (Odds Ratio [OR]: 1.02, p = 0.02), American Society of Anesthesiology (ASA) score 3-5 (versus 1-2, OR: 1.35, p = 0.04), smoking status (OR: 1.53, p = 0.04), and the occurrence of wound complications (OR: 9.31, p < 0.001), thromboembolic (OR: 14.7, p < 0.001), and renal failure (OR: 1.62, p = 0.01) complications during the index hospitalization. For RC patients, the only predictor of readmission was age (OR: 0.98, p = 0.04). Predictors of readmission for RNx included higher ASA score (OR: 1.77, p = 0.03), and the presence of any complications during the index hospitalization (OR: 2.21, p = 0.03). CONCLUSIONS: Several patient characteristics have a significant impact on the risk of 30 day readmission after major urologic cancer surgery. Our data suggests that improving prevention and management of complications during the index hospitalization may lead to a substantial decrease in readmission rates.
Authors: Gaya Spolverato; Hadia Maqsood; Alessandro Vitale; Sorin Alexandrescu; Hugo P Marques; Luca Aldrighetti; T Clark Gamblin; Carlo Pulitano; Todd W Bauer; Feng Shen; George Poultsides; Shishir Maithel; J Wallis Marsh; Timothy M Pawlik Journal: J Gastrointest Surg Date: 2015-04-23 Impact factor: 3.452
Authors: Jason F Flamiatos; Yiyi Chen; William E Lambert; Ann Martinez Acevedo; Thomas M Becker; Jasper C Bash; Christopher L Amling Journal: J Robot Surg Date: 2018-06-08
Authors: Javier Valero-Elizondo; Yuhree Kim; Jason D Prescott; Georgios A Margonis; Thuy B Tran; Lauren M Postlewait; Shishir K Maithel; Tracy S Wang; Jason A Glenn; Ioannis Hatzaras; Rivfka Shenoy; John E Phay; Kara Keplinger; Ryan C Fields; Linda X Jin; Sharon M Weber; Ahmed Salem; Jason K Sicklick; Shady Gad; Adam C Yopp; John C Mansour; Quan-Yang Duh; Natalie Seiser; Carmen C Solorzano; Colleen M Kiernan; Konstantinos I Votanopoulos; Edward A Levine; George A Poultsides; Timothy M Pawlik Journal: J Gastrointest Surg Date: 2015-08-19 Impact factor: 3.452
Authors: Donald E Fry; Michael Pine; Susan M Nedza; David G Locke; Agnes M Reband; Gregory Pine Journal: Medicine (Baltimore) Date: 2016-09 Impact factor: 1.889