Predictive approach in managing voiding dysfunction after surgery for deep endometriosis: a personalized nomogram

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A nomogram incorporating age, colorectal management, colpectomy, and parametrectomy was developed and validated to predict voiding dysfunction after deep endometriosis surgery.

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This retrospective multicenter study developed and externally validated a predictive nomogram for postoperative voiding dysfunction in 789 women undergoing surgery for deep endometriosis with colorectal involvement, using multivariable logistic regression of selected clinical and surgical/imaging risk factors and then validating in 333 women from a separate hospital. Postoperative voiding dysfunction occurred in 23%, and the model identified age, colorectal involvement/management, colpectomy, and parametrectomy as key factors associated with increased risk. The nomogram showed good internal performance (concordance index 0.79 after bootstrap correction) and calibration, with external validation demonstrating an ROC area of 0.74, though the authors note that additional validation is needed. This paper is centrally about endometriosis — it focuses specifically on predicting postoperative voiding dysfunction after surgery for deep endometriosis with colorectal involvement.

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Abstract

Introduction and hypothesisThe aim was to develop a nomogram based on clinical and surgical factors to predict the likelihood of voiding dysfunction after surgery for deep endometriosis.MethodsThis was a retrospective study of 789 patients (training set) who underwent surgery for deep endometriosis with colorectal involvement from January 2005 through December 2017 at Tenon University Hospital. A multivariate logistic regression analysis of selected risk factors was performed to construct a nomogram to predict postoperative voiding dysfunction. The nomogram was externally validated in 333 patients (validation set) from Rouen University Hospital.ResultsPostoperative voiding dysfunction occurred in 23% of the patients (180/789) in the training set. Age, colorectal involvement/management, colpectomy and parametrectomy were the main factors associated with an increased risk of voiding dysfunction and were included in the nomogram. The predictive model had an internal concordance index of 0.79 (95% CI: 0.77-0.81) after the 200 repetitions of bootstrap sample corrections and showed good calibration. The ROC area related to the nomogram for external validation was 0.74 (95% CI: 0.72-0.76).ConclusionsThe nomogram we present here, based on four clinical and imaging characteristics, could be useful in predicting postoperative voiding dysfunction for women undergoing surgery for deep endometriosis. Patients could thus be better informed about this postoperative risk and the surgical strategy adapted according to individual risk. The accuracy of the tool was validated externally but additional validation is required.
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Abstract

Introduction and hypothesis The aim was to develop a nomogram based on clinical and surgical factors to predict the likelihood of voiding dysfunction after surgery for deep endometriosis.

Methods

This was a retrospective study of 789 patients (training set) who underwent surgery for deep endometriosis with colorectal involvement from January 2005 through December 2017 at Tenon University Hospital. A multivariate logistic regression analysis of selected risk factors was performed to construct a nomogram to predict postoperative voiding dysfunction. The nomogram was externally validated in 333 patients (validation set) from Rouen University Hospital.

Results

Postoperative voiding dysfunction occurred in 23% of the patients (180/789) in the training set. Age, colorectal involvement/management, colpectomy and parametrectomy were the main factors associated with an increased risk of voiding dysfunction and were included in the nomogram. The predictive model had an internal concordance index of 0.79 (95% CI: 0.77–0.81) after the 200 repetitions of bootstrap sample corrections and showed good calibration. The ROC area related to the nomogram for external validation was 0.74 (95% CI: 0.72–0.76).

Conclusions

The nomogram we present here, based on four clinical and imaging characteristics, could be useful in predicting postoperative voiding dysfunction for women undergoing surgery for deep endometriosis. Patients could thus be better informed about this postoperative risk and the surgical strategy adapted according to individual risk. The accuracy of the tool was validated externally but additional validation is required. Similar content being viewed by others

References

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Dr. Tuech: Data analysis, manuscript writing/editing. Pr. Darai: Protocol/project development, manuscript writing/editing. Dr. Bendifallah: Protocol/project development, data collection or management, manuscript writing/editing. Corresponding author Ethics declarations Conflicts of interest None. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Electronic supplementary material ESM 1 (download DOC ) (DOC 26 kb) ESM 2 (download DOC ) (DOC 79 kb) Rights and permissions About this article Cite this article Vesale, E., Roman, H., Abo, C. et al. Predictive approach in managing voiding dysfunction after surgery for deep endometriosis: a personalized nomogram. Int Urogynecol J 32, 1205–1212 (2021). https://doi.org/10.1007/s00192-020-04428-9 Received: Accepted: Published: Version of record: Issue date: DOI: https://doi.org/10.1007/s00192-020-04428-9

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endometriosis

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Endometriosis Nomograms Female Humans Retrospective Studies Risk Factors

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