Major adverse cardiovascular events following partial nephrectomy: a procedure-specific risk index.

Introduction: Partial nephrectomy (PN) is associated with a non-negligible risk of postoperative cardiovascular morbidity and mortality. Identification of high-risk patients may enable optimization of perioperative management and consideration of alternative approaches. The authors aim to develop a procedure-specific cardiovascular risk index for PN patients and compare its performance to the widely used revised cardiac risk index (RCRI) and AUB-HAS2 cardiovascular risk index. Methods: The cohort was derived from the American College of Surgeons - National Surgical Quality Improvement Program (ACS-NSQIP) database. The primary outcome was the incidence of major adverse cardiovascular events (MACE), defined as 30-day postoperative incidence of myocardial infarction, stroke, or mortality. A multivariate logistic regression model was constructed; performance and calibration were evaluated using an ROC analysis and the Hosmer-Lemeshow test and compared to the RCRI and the AUB-HAS2 index. Results: In a cohort of 4795 patients, MACE occurred in 52 (1.1%) patients. A univariate analysis yielded 13 eligible variables for entry into the multivariate model. The final PN-A4CH model utilized six variables: Age ⩾75 years, ASA class >2, Anemia, surgical Approach, Creatinine >1.5, and history of Heart disease. Index ROC analysis provided a C-statistic of 0.81, calibration R 2 was 0.99, and sensitivity was 85%. In comparison, the RCRI and AUB-HAS2 C-statistics were 0.59 and 0.68, respectively. Conclusion: This study proposes a novel procedure-specific cardiovascular risk index. The PN-A4CH index demonstrated good predictive ability and excellent calibration using a large national database and may enable further individualization of patient care and optimization of patient selection.

Learning curve in aquablation: an international multicenter study.

OBJECTIVES: To describe and analyze the learning curve (LC) of aquablation for the treatment of benign prostatic obstruction and determine the number of cases needed to achieve acceptable surgical safety, efficiency, and efficacy. METHODS: A retrospective analysis of prospectively maintained aquablation databases from France, Lebanon, and Spain was conducted. The combined LC of three surgeons was defined by trifecta and pentafecta outcomes. Trifecta reflected efficiency and safety: operative time < 60 min, hemoglobin reduction ≤ 2 mg/dL, and no 90 day Clavien-Dindo grade ≥ 2 complications. Pentafecta reflected effectiveness: percent reduction in International Prostate Symptom Score (IPSS) and ejaculation preservation. The combined LC was plotted using a moving average with polynomial fitting. RESULTS: The cohort included 175 consecutive patients. Median (IQR) prostate volume was 70 (50-91) cc, and baseline IPSS was 23 (18-27). The achievement of trifecta exceeded 50% after 4 cases, and 70% after 50 cases. Pentafecta achievement exceeded 50% after 38 cases. Logistic regression showed significant improvement in hemoglobin reduction and ejaculation preservation. Grade ≥ 2 complication was not affected by experience, and neither was 3 month %IPSS reduction as 94% of patients showed ≥ 50% symptoms' improvement. CONCLUSION: Aquablation is associated with a quick learning curve for the defined trifecta and pentafecta outcomes. It provided effective LUTS relief and low complication rates independent of surgeon experience. Hemoglobin drop and ejaculatory function preservation were the two factors influenced by the surgeons' LC. Training to reduce operative time, standardization of hemostasis techniques, and early assistance to improve veru-protection zone planning are keys to quicker learning.

Risk factors for wound dehiscence following radical cystectomy: a prediction model.

OBJECTIVES: Radical cystectomy (RC) is a complex urologic procedure performed for the treatment of bladder cancer and causes significant morbidity. Wound dehiscence (WD) is a major complication associated with RC and is associated with multiple risk factors. The objectives of this study are to identify clinical risk factors for incidence of WD and develop a risk-prediction model to aid in patient risk-stratification and improvement of perioperative care. MATERIALS AND METHODS: The American College of Surgeons - National Surgical Quality Improvement Program (ACS-NSQIP) database was used to derive the study cohort. A univariate analysis provided nine variables eligible for multivariate model entry. A stepwise logistic regression analysis was conducted and refined considering clinical relevance of the variables, and then bootstrapped with 1000 samples, resulting in a five-factor model. Model performance and calibration were assessed by a receiver operated curve (ROC) analysis and the Hosmer-Lemeshow test for goodness of fit, respectively. RESULTS: A cohort of 11,703 patients was identified from years 2005 to 2017, with 342 (2.8%) incidences of WD within 30 days of operation. The final five-factor model included male gender [odds ratio (OR) = 2.5, p < 0.001], surgical site infection (OR = 6.3, p < 0.001), smoking (OR = 1.8, p < 0.001), chronic obstructive pulmonary disease (COPD) (OR = 1.9, p < 0.001), and weight class; morbidly obese patients had triple the odds of WD (OR = 2.9, p < 0.001). The ROC analysis provided a C-statistic of 0.76 and calibration R 2 was 0.99. CONCLUSION: The study yields a statistically robust and clinically beneficial five-factor model for estimation of WD incidence risk following RC, with good performance and excellent calibration. These factors may assist in identifying high-risk patients, providing preoperative counseling and thus leading to improvement in perioperative care.