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Your search keyword '"Chang, Steven L."' showing total 15 results
Start Over Author "Chang, Steven L." Journal bju international
15 results on '"Chang, Steven L."'

8. Examining the relationship between complications and perioperative mortality following radical cystectomy: a population-based analysis

Author

Mossanen, Matthew, primary, Krasnow, Ross E., additional, Zlatev, Dimitar V., additional, Tan, Wei Shen, additional, Preston, Mark A., additional, Trinh, Quoc-Dien, additional, Kibel, Adam S., additional, Sonpavde, Guru, additional, Schrag, Deborah, additional, Chung, Benjamin I., additional, and Chang, Steven L., additional

Published
2019
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9. Patient factors predict complications after partial nephrectomy: validation and calibration of the Preoperative Risk Evaluation for Partial Nephrectomy (PREP) score.

Author

Huynh, Melissa J., Wang, Ye, Joshi, Mugdha, Krasnow, Ross, Yu, Alice X., Mossanen, Matthew, Chung, Benjamin I., and Chang, Steven L.

Subjects
NEPHRECTOMY, RECEIVER operating characteristic curves, RISK assessment, OBSTRUCTIVE lung diseases, NOSOLOGY, CONGESTIVE heart failure
Abstract

Objectives: To develop and validate the Preoperative Risk Evaluation for Partial Nephrectomy (PREP) score to predict the probability of major postoperative complications after partial nephrectomy (PN) based on patient comorbidities. Patients and Methods: The Premier Healthcare Database was used to identify patients who had undergone elective PN. Through review of International Classification of Diseases ninth revision codes, we identified patient comorbidities and major surgical complications (Clavien–Dindo Grade III–V). Multivariable logistic regression was used to identify predictors of major complications. We used half of the set as the training cohort to develop our risk score and the other half as a validation cohort. Results: From 2003 to 2015, 25 451 PNs were performed. The overall rate of major complications was 4.9%. The final risk score consisted of 10 predictors: age, sex, congestive heart failure, coronary artery disease, chronic obstructive pulmonary disease, chronic kidney disease, diabetes, hypertension, obesity, and smoking. In the training cohort, the area under the receiver operating characteristic curve (AUC) was 0.75 (95% confidence interval [CI] 0.73–0.78), while the AUC for the validation cohort was 0.73 (95% CI 0.70–0.75). The predicted probabilities of major complication in the low‐ (≤10 points), intermediate‐ (11–20 points), high‐ (21–30 points), and very high‐risk (>30 points) categories were 3% (95% CI 2.6–3.2), 8% (95% CI 7.2–9.2), 24% (95% CI 20.5–27.8), and 41% (95% CI 34.5–47.8), respectively. Conclusions: We developed and validated the PREP score to predict the risk of complications after PN based on patient characteristics. Calculation of the PREP score can help providers select treatment options for patients with a cT1a renal mass and enhance the informed consent process for patients planning to undergo PN. [ABSTRACT FROM AUTHOR]

Published
2021
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15. Preventable mortality after common urological surgery: failing to rescue?

Author

Sammon, Jesse D., primary, Pucheril, Daniel, additional, Abdollah, Firas, additional, Varda, Briony, additional, Sood, Akshay, additional, Bhojani, Naeem, additional, Chang, Steven L., additional, Kim, Simon P., additional, Ruhotina, Nedim, additional, Schmid, Marianne, additional, Sun, Maxine, additional, Kibel, Adam S., additional, Menon, Mani, additional, Semel, Marcus E., additional, and Trinh, Quoc-Dien, additional

Published
2014
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