Predicting detrusor overactivity using a physician-based scoring system

A Novel Predictive Model of Detrusor Overactivity Based on Clinical Symptoms and Non-invasive Test Parameters in Female Patients with Lower Urinary Tract Symptoms

INTRODUCTION AND HYPOTHESIS

This study was aimed at investigating non-invasive indicators correlated with detrusor overactivity (DO) and at developing a prediction model for DO by reviewing clinical and urodynamic data of female patients.

METHODS

We retrospectively enrolled 1,084 female patients who underwent a urodynamic study (UDS) at Tongji Hospital between September 2011 and April 2021. Associated factors and the independent prediction factors of DO were demonstrated by univariate and multivariate analysis. A non-invasive prediction model of DO was developed and validated by applying these data.

RESULTS

A total of 194 patients (17.9%) were classified as having DO. A logistic regression of a multivariate nature showed that DO risk factors were independent of age, nocturia, urgency, urgency urinary incontinence (UUI), and the lack of stress urinary incontinence (SUI). The DO prediction model had good performance, with an area under the curve of 0.880 (95% CI 0.826-0.933), which was verified by urodynamic data of patients in Tongji Hospital to be 0.818 (95% CI 0.783-0.853). An outstanding correspondence between the anticipated probability and the observed frequency was revealed by the calibration curve. Decision curve analysis demonstrated that clinical net benefit can be obtained by applying the DO prediction model when the DO risk probability was between 8 and 97%.

CONCLUSIONS

A non-invasive prediction model of DO was developed and validated using clinical and urodynamic data. Five independent factors associated with DO were identified: age, nocturia, urgency, UUI, and SUI. This prediction model can contribute to assessing the risk of female DO without the need for invasive urodynamic studies.

OAB score: a clinical model that predicts the probability of presenting overactive detrusor in the urodynamic study

Purpose

To create a predictive model of involuntary detrusor contraction (IDC) to improve the diagnostic accuracy of overactive detrusor (OAD), associating overactive bladder (OAB) symptoms with other clinical parameters in the female population.

Materials and Methods

A total of 727 women were studied retrospectively. In all of them, urodynamic study was conducted for urogynecological causes. Demographics information, personal history, symptoms, physical exam, a 3-day frequency/volume chart and urinary culture, were collected in all patients and they subsequently underwent uroflowmetry and urodynamic studies. A logistic regression model was performed in order to determine independent predictors of presence of IDC. Odd ratio (OR) estimation was used to assign a score to each one of the significant variables (p≤0.05) in the logistic regression model. We performed a ROC curve in order to determine the predictive ability of the score in relation to the presence of OAD.

Results

presence of OAD was evident in 210 women (29%). In the logistic regression analysis, independent predictors of OAD were urgency, urgency incontinence, nocturia, absence of SUI symptoms, diabetes mellitus, reduction of vaginal trophism and bladder capacity below 150 mL. The probability of IDC diagnosis increases as the score raises (Score 0: 4% until Score ≥10: 88%). Sensitivity was 71% and specificity 72%. The area under the curve of OAB score was 0.784 (p>0.001).

Conclusions

OAB score is a clinical tool that shows higher diagnostic accuracy than OAB symptoms alone to predict overactive detrusor.

Can we predict detrusor overactivity in women with lower urinary tract symptoms? The King's Detrusor Overactivity Score (KiDOS)

OBJECTIVE

Traditionally, urodynamic studies (UDS) have been used to assess lower urinary tract symptoms (LUTS), but their routine use is now discouraged. While urodynamic stress incontinence is strongly associated with the symptom of stress urinary incontinence (SUI) and a positive cough test, there is a weak relationship between symptoms of overactive bladder and detrusor overactivity (DO). The aim of our study was to develop a model to predict DO in women with LUTS.

STUDY DESIGN

This prospective study included consecutive women with LUTS attending a urodynamic clinic. All women underwent a comprehensive clinical and urodynamic assessment. The effect of each variable on the odds of DO was estimated both by univariate analysis and adjusted analysis using logistic regression.

RESULTS

1006 women with LUTS were included in the study with 374 patients (37%) diagnosed with DO. The factors considered to be the best predictors of DO were urgency urinary incontinence, urge rating/void and parity (p-value<0.01). The absence of SUI, vaginal bulging and previous continence surgery were also good predictors of DO (p-value<0.01). We have created a prediction model for DO based on our best predictors. In our scoring system, presence of UUI scores 5; mean urge rating/void≥3 scores 3; parity≥2 scores 2; previous continence surgery scores -1; presence of SUI scores -1; and the complaint of vaginal bulging scores -1. If a criterion is absent, then the score is 0 and the total score can vary from a value of -3 to +10. The Receiver Operating Characteristic (ROC) analysis for the overall cut-off points revealed an area under the curve of 0.748 (95%CI 0.741, 0.755).

CONCLUSION

This model is able to predict DO more accurately than a symptomatic diagnosis alone, in women with LUTS. The introduction of this scoring system as a screening tool into clinical practice may reduce the need for expensive and invasive tests to diagnose DO, but cannot replace UDS completely.

[Clinical and paraclinical evaluations of bladder sensitivity. Review of the literature]

INTRODUCTION

The aim of this work was to carry out a review of the literature on the clinical and paraclinical evaluation of bladder sensory (BS) to better understand BS disorders in nonneurological patients.

METHODS

Thirty-three articles were selected from the Medline(®) Database between 1992 and 2012 using the following key words: "sensory/sensitivity bladder evaluation", "sensory/sensitivity bladder scale", "sensory/sensitivity bladder questionnaire", "urodynamic bladder sensory", "urgency questionnaire" and "Overactive Bladder (OAB) questionnaire".

RESULTS

Evaluation of BS by asking questions during cystometry is validated (LE 2). The sensation of the desire to void progresses linearly with bladder filling (LE 2). Many symptoms and quality of life questionnaires related to BS anomalies have been proposed. Bladder diaries, frequency/volume curves (LE 2) and clinical algorithms (LE 3) could be an alternative to evaluate BS.

CONCLUSION

Current evaluation only provides a partial view of BS. A multidimensional approach should lead to better understanding of BS disorders.