INTRODUCTION AND HYPOTHESIS: We attempted to improve the accuracy of the clinical diagnosis of detrusor overactivity (DO) by using other significant clinical parameters in addition to overactive bladder (OAB) symptoms alone. METHODS: One thousand one hundred and forty women attending for their initial urogynecological assessment, including urodynamics, due to symptoms of pelvic floor dysfunction, underwent a comprehensive clinical and urodynamic assessment. Multivariate logistic regression analysis of a wide range of clinical parameters was used in order to determine a model of factors most accurately predicting the urodynamic diagnosis of DO. Data were separated according to women without DO; women with DO. The analysis involved the stepwise building of an optimal clinical model for predicting DO. RESULTS: In multivariate analysis, the OAB symptoms of urgency incontinence, urgency and nocturia (not frequency) were significantly associated with DO. Their prediction of DO was not particularly accurate (sensitivity 0.64; specificity 0.67). The addition of other significant clinical parameter, i.e. absent symptoms of stress incontinence; lower parity (0-1); no signs of prolapse, to the diagnostic model, resulted in marginally improved accuracy (area under the ROC curve increased from 0.70 to 0.74). CONCLUSIONS: Overactive bladder symptoms alone are not accurate in predicting DO. Adding other significant clinical parameters to the model resulted in a small statistical advantage, which is not clinically useful. An accurate clinical diagnosis of DO in women would appear to remain elusive.
INTRODUCTION AND HYPOTHESIS: We attempted to improve the accuracy of the clinical diagnosis of detrusor overactivity (DO) by using other significant clinical parameters in addition to overactive bladder (OAB) symptoms alone. METHODS: One thousand one hundred and forty women attending for their initial urogynecological assessment, including urodynamics, due to symptoms of pelvic floor dysfunction, underwent a comprehensive clinical and urodynamic assessment. Multivariate logistic regression analysis of a wide range of clinical parameters was used in order to determine a model of factors most accurately predicting the urodynamic diagnosis of DO. Data were separated according to women without DO; women with DO. The analysis involved the stepwise building of an optimal clinical model for predicting DO. RESULTS: In multivariate analysis, the OAB symptoms of urgency incontinence, urgency and nocturia (not frequency) were significantly associated with DO. Their prediction of DO was not particularly accurate (sensitivity 0.64; specificity 0.67). The addition of other significant clinical parameter, i.e. absent symptoms of stress incontinence; lower parity (0-1); no signs of prolapse, to the diagnostic model, resulted in marginally improved accuracy (area under the ROC curve increased from 0.70 to 0.74). CONCLUSIONS:Overactive bladder symptoms alone are not accurate in predicting DO. Adding other significant clinical parameters to the model resulted in a small statistical advantage, which is not clinically useful. An accurate clinical diagnosis of DO in women would appear to remain elusive.
Authors: Paul Abrams; Linda Cardozo; Magnus Fall; Derek Griffiths; Peter Rosier; Ulf Ulmsten; Philip van Kerrebroeck; Arne Victor; Alan Wein Journal: Neurourol Urodyn Date: 2002 Impact factor: 2.696
Authors: Bernard T Haylen; Glenn McNally; Philippa Ramsay; Warwick Birrell; Vanessa Logan Journal: Aust N Z J Obstet Gynaecol Date: 2007-08 Impact factor: 2.100
Authors: Bernard T Haylen; Dirk de Ridder; Robert M Freeman; Steven E Swift; Bary Berghmans; Joseph Lee; Ash Monga; Eckhard Petri; Diaa E Rizk; Peter K Sand; Gabriel N Schaer Journal: Int Urogynecol J Date: 2009-11-25 Impact factor: 2.894
Authors: Hannah T Ryles; Stephanie A Sansone; Pamela J Levin; Uduak U Andy; Heidi S Harvie; Lily A Arya Journal: Female Pelvic Med Reconstr Surg Date: 2021-09-01 Impact factor: 1.913