Diagnostic models for male lower urinary tract symptom management in primary care: a prospective, multicentre, diagnostic accuracy study.

Abstract (English)

BACKGROUND: Recent research has concluded that primary care assessment and management of lower urinary tract symptoms (LUTS) requires practical resources. AIM: To develop and independently validate risk-prediction models for three common urological conditions based on a combination of simple, minimally invasive index tests in men with LUTS presenting to primary care. DESIGN AND SETTING: A prospective, multicentre, diagnostic accuracy study with independent development and validation cohorts set in 67 general practices in England and Wales. METHOD: A total of 601 men presenting to primary care with LUTS, 350 in the development cohort and 251 in the validation cohort, underwent index tests - validated symptom assessment, bladder diary, physical examination, serum prostate specific antigen, uroflowmetry, and post-void residual volume estimation. Invasive urodynamic studies provided a diagnostic reference standard. Risk-prediction models for urodynamic diagnoses were developed and then validated in independent cohorts. Discriminative and calibration performance of the risk-prediction models for diagnosing bladder outlet obstruction (BOO), detrusor underactivity (DU), and detrusor overactivity (DO) using the c-index, calibration slope and plot, and sensitivity and specificity of the models was undertaken. RESULTS: The BOO model from the development cohort demonstrated good discriminative performance (optimism-corrected c-index of 0.80). The models derived from the development cohort for DU and DO demonstrated moderate discriminative ability (optimism-corrected c-indices of 0.64 and 0.67, respectively). Similar estimates of c-index were observed for each model within the independent validation cohort (BOO, 0.82; DU, 0.63; and DO, 0.62). CONCLUSION: Using a combination of simple, non-invasive index tests can accurately predict common urological diagnoses in men with LUTS, potentially facilitating earlier initiation of evidence-based treatments and improved management in primary care.