Development of a Predictive Model for the Diagnosis of Lower Urinary Tract Obstruction in Men

PURPOSE: We sought to develop and validate a bladder outlet obstruction predictive model for men with nonneurogenic lower urinary tract symptoms.

MATERIALS AND METHODS: We retrospectively included 1,148 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. A total of 331 patients (58.8%) in the development group and 381 (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 characteristic curve of 0.78 (95% CI 0.75-0.82) and a model validation of 0.78 (0.72-0.83).

CONCLUSIONS: Our proposed model based on clinical and noninvasive urodynamics parameters allows us to predict the risk of presenting bladder outlet obstruction in patients with lower urinary tract symptoms.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:208

Enthalten in:

The Journal of urology - 208(2022), 3 vom: 22. Sept., Seite 668-675

Sprache:

Englisch

Beteiligte Personen:

de la Cruz Martín, Beatriz [VerfasserIn]
Adot Zurbano, José M [VerfasserIn]
Gutiérrez-Mínguez, Emilio [VerfasserIn]
Gómez Sánchez, Esther [VerfasserIn]
Calvo, Sara [VerfasserIn]
Tamayo Gómez, Eduardo [VerfasserIn]

Links:

Volltext

Themen:

Diagnosis
Journal Article
Lower urinary tract symptoms; models, statistical
Urinary bladder neck obstruction

Anmerkungen:

Date Completed 10.08.2022

Date Revised 11.08.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1097/JU.0000000000002721

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM339810645