Publications by authors named "Michael A Pontari"

Objective: To assess differences in clinical presentation and illness impact in men and women presenting with urologic chronic pelvic pain syndrome (UCPPS) and between men diagnosed with interstitial cystitis/bladder pain syndrome (IC/BPS) or chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS).

Methods: 356 men and 605 women from six sites across the United States were assessed using a comprehensive set of demographic, symptom, and illness impact measures. Multivariable regression analyses examined differences between men and women and between men previously diagnosed with CP/CPPS or IC/BPS.

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Purpose: We assessed the reliability and validity of an efficient severity assessment for pelvic pain and urinary symptoms in urological chronic pelvic pain syndrome, which consists of interstitial cystitis/bladder pain syndrome and chronic prostatitis/chronic pelvic pain syndrome.

Materials And Methods: A total of 578 patients were assessed using brief, empirically derived self-report scales for pelvic pain severity (PPS) and urinary symptom severity (USS) 4 times during a 1-month period and baseline clinic visit that included urological, pain and illness-impact measures. Mild, moderate and severe categories on each dimension were examined for measurement stability and construct validity.

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Purpose: We sought to determine the time-lagged, bidirectional relationships among clinical variables of pelvic pain, urinary symptoms, negative mood, nonpelvic pain and quality of life in men and women with urological chronic pelvic pain syndrome, incorporating interstitial cystitis/bladder pain syndrome and chronic prostatitis/chronic pelvic pain syndrome.

Materials And Methods: A total of 204 female and 166 male patients were assessed up to 24 times over a 48-week period on the 5 primary outcomes. A lagged autoregressive analysis was applied to determine the directional relationship of one variable to another 2 weeks later, beyond that of the concurrent relationships at each time point and autocorrelations and trends over time.

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