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Related Experiment Videos

Patient-reported erectile dysfunction: a cross-validation study

M D Ackerman1, J P D'Attilio, M H Antoni

  • 1Veterans Administration Medical Center, Miami, Florida.

Archives of Sexual Behavior
|December 1, 1993
PubMed
Summary
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Patient self-reports of erectile function in older, chronically ill men accurately predict physiological measures. This validates using patient history to diagnose erectile dysfunction, improving care for this population.

Area of Science:

  • Urology
  • Andrology
  • Geriatric Medicine

Background:

  • Erectile dysfunction (ED) is prevalent in older, chronically ill men.
  • Previous studies suggested a link between patient-reported sexual history and objective erectile function measures.
  • Cross-validation of these findings is crucial for clinical application.

Purpose of the Study:

  • To validate the correspondence between patient-reported erectile function and physiological indices in older male veterans with ED.
  • To assess the diagnostic significance of patient self-report in this specific demographic.

Main Methods:

  • A sample of 46 older male veterans with ED underwent medical and psychological evaluations.
  • In-hospital Rigiscan monitoring was conducted over two consecutive nights to assess penile rigidity and erectile episodes.

Related Experiment Videos

  • Stringent criteria excluded participants with confounding affective, thought, or sleep disorders.
  • Main Results:

    • Patient reports of morning (AM) erections and overall erectile quality significantly predicted Rigiscan measures.
    • Three out of four R-squared values met the Herzberg criterion for cross-validation.
    • Patient self-report demonstrated diagnostic significance for erectile functioning.

    Conclusions:

    • Patient-reported erectile function is a reliable indicator of physiological erectile capacity in older, chronically ill men.
    • Self-reported data can be diagnostically significant for evaluating erectile dysfunction in this population.
    • Findings support the integration of patient history into ED diagnostic protocols.