Preoperative nomogram to predict the likelihood of complications after radical nephroureterectomy.
Publication/Presentation Date
2-1-2017
Abstract
OBJECTIVES: To construct a nomogram based on preoperative variables to better predict the likelihood of complications occurring within 30 days of radical nephroureterectomy (RNU).
PATIENTS AND METHODS: The charts of 731 patients undergoing RNU at eight academic medical centres between 2002 and 2014 were reviewed. Preoperative clinical, demographic and comorbidity indices were collected. Complications occurring within 30 days of surgery were graded using the modified Clavien-Dindo scale. Multivariate logistic regression determined the association between preoperative variables and post-RNU complications. A nomogram was created from the reduced multivariate model with internal validation using the bootstrapping technique with 200 repetitions.
RESULTS: A total of 408 men and 323 women with a median age of 70 years and a body mass index of 27 kg/m
CONCLUSIONS: Using standard preoperative variables from this multi-institutional RNU experience, we constructed and validated a nomogram for predicting peri-operative complications after RNU. Such information may permit more accurate risk stratification on an individual cases basis before major surgery.
Volume
119
Issue
2
First Page
268
Last Page
275
ISSN
1464-410X
Published In/Presented At
Raman, J. D., Lin, Y. K., Shariat, S. F., Krabbe, L. M., Margulis, V., Arnouk, A., Lallas, C. D., Trabulsi, E. J., Drouin, S. J., Rouprêt, M., Bozzini, G., Colin, P., Peyronnet, B., Bensalah, K., Bailey, K., Canes, D., & Klatte, T. (2017). Preoperative nomogram to predict the likelihood of complications after radical nephroureterectomy. BJU international, 119(2), 268–275. https://doi.org/10.1111/bju.13556
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
27322735
Department(s)
Administration and Leadership
Document Type
Article