A novel nomogram and a simple scoring system for urinary leakage after percutaneous nephrolithotomy
Int. braz. j. urol
; 48(5): 817-827, Sept.-Oct. 2022. tab, graf
Article
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LILACS-Express
| LILACS
| ID: biblio-1394392
Biblioteca responsable:
BR1.1
ABSTRACT
ABSTRACT Introduction:
The present study aimed to investigate the factors of prolonged urinary leakage (PUL) after percutaneous nephrolithotomy (PCNL) and develop a new and simple scoring system to predict it. Patients andMethods:
We retrospectively reviewed patients with renal stones who underwent PCNL at the University of Health Sciences Izmir Bozyaka Training and Research Hospital between April 2011 and January 2020. The patients were divided into two groups according to the presence of PUL, and their preoperative and perioperative data were compared. A multivariate regression analysis was applied to examine the relationship between perioperative descriptors and PUL, and a nomogram was developed using significant predictors. Then, the individual components of the nomogram were assigned points to form a scoring system.Results:
There were 92 and 840 patients in the groups with and without PUL, respectively. The results of the univariate logistic regression analysis showed that hydronephrosis grade, parenchymal thickness, duration of nephroscopy, and duration of nephrostomy catheter were significantly associated with PUL. Subsequently, a multivariate regression analysis was carried out with these four factors as possible independent risk factors of PUL after PCNL. Based on the results of this analysis, a nomogram prediction model was developed with an area under the curve value of 0.811, which was consequently used to develop a new simple score system consisting of three characteristics parenchymal thickness (1-5 points), duration of nephroscopy (1-3 points), and hydronephrosis grade (1-3 points).Conclusion:
A novel scoring system is a useful tool for predicting PUL in patients who have undergone percutaneous nephrolithotomy.
Texto completo:
1
Colección:
01-internacional
Base de datos:
LILACS
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Int. braz. j. urol
Asunto de la revista:
UROLOGIA
Año:
2022
Tipo del documento:
Article
País de afiliación:
Turquía
Pais de publicación:
Brasil