RT info:eu-repo/semantics/doctoralThesis
T1 Desarrollo y validación de un modelo de predictivo para el diagnóstico de obstrucción del tracto urinario inferior en varones con sintomatología del tracto urinario inferior
A1 Martín Cruz, Beatriz de la
A2 Universidad de Valladolid. Escuela de Doctorado
K1 Urología
K1 Predictive model
K1 Modelo predictivo
K1 Urinary symptoms
K1 Síntomas urinarios
K1 Obstruction
K1 Obstrucción
K1 3213.16 Urología
AB Background: The diagnostic accuracy of tools included in the initial assesment for identifying the underlying cause of LUTS is limited. Improving the diagnostic accuracy of the available tools in the diagnosis of LUT Obstruction will help the urologist to choose the appropriate treatment aimed to symptomatic relief.Purpose: To develop and validate a bladder outlet obstruction predictive model for men with non-neurogenic lower urinary tract symptoms.Material and Methods: We retrospectively included 1148 patients who underwent a urodynamic study in the Urology Service of the Burgos University Hospital from January 2007 to December 2019. Obstruction was defined using the Abrams–Griffiths number. A multivariable logistic regression analysis was conducted to determine the predictors of bladder outlet obstruction. We transferred these data to a model to calculate the individual probability of obstruction.Results: A first group with 563 patients randomly divided was selected for the design of the predictive risk model and a second group of 585 patients for the validation. 331 patients (58.8%) in the development group and 381 patients (65.1%) in the validation group had a diagnosis of obstruction. A multivariable logistic regression model showed that age, history of previous surgical intervention, presence of voiding symptoms, preserved anal tone, maximum urinary flow rate and voiding efficiency were significant for predicting obstruction. The model had an area under the receiver operating characteristics curve (AUROC) of 0.78 (95% CI 0.75-0.82) and the model validation of 0.78 (0.72-0.83).Conclusions: Our proposed model based on clinical and non-invasive urodynamics parameters allows us to predict the risk of presenting bladder outlet obstruction in patients with lower urinary tract symptoms.
YR 2023
FD 2023
LK https://uvadoc.uva.es/handle/10324/62642
UL https://uvadoc.uva.es/handle/10324/62642
LA spa
NO Escuela de Doctorado
DS UVaDOC
RD 22-may-2024