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The patient-perceived intravaginal ejaculation latency time cut-off for lifelong premature ejaculation
Chunlin Wang1,2, Qianghui Zhong1, Elena Colonnello2
1Department of Infertility and Sexual Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Andrology
|August 14, 2024
Summary
A new cutoff of 3.5 minutes for intravaginal ejaculation latency time is proposed for diagnosing lifelong premature ejaculation (PE). This evidence-based value aligns better with clinical practice and captures 97.9% of patients seeking help for PE.
Area of Science:
- Urology
- Sexual Medicine
- Clinical Diagnostics
Background:
- Current diagnostic criteria for lifelong premature ejaculation (PE) using intravaginal ejaculation latency time (IELT) lack consistency and clinical applicability.
- Inconsistent IELT cutoffs challenge effective clinical management and research in premature ejaculation.
Purpose of the Study:
- To re-evaluate IELT and establish evidence-based cutoff values for diagnosing lifelong PE.
- To identify a widely acceptable IELT cutoff that aligns with current clinical practice.
Main Methods:
- Diagnosed lifelong PE using patient self-reports and the Premature Ejaculation Diagnostic Tool (PEDT).
- Included a control group of individuals without PE for comparison.
- Employed receiver operating characteristic (ROC) curve analysis to determine the optimal IELT cutoff.
Main Results:
- Study included 307 participants: 187 with lifelong PE and 120 controls.
- ROC analysis identified an optimal perceived IELT cutoff of 3.5 minutes (sensitivity 97.9%, specificity 99.2%).
- This 3.5-minute cutoff captures 97.9% of lifelong PE patients seeking medical help.
Conclusions:
- A perceived IELT cutoff of 3.5 minutes is proposed for diagnosing lifelong PE in clinical settings.
- This revised cutoff value improves diagnostic accuracy and clinical relevance for premature ejaculation.
Keywords:
cutoffdiagnosislifelong premature ejaculationpatient‐perceived intravaginal ejaculation latency timereceiver operating characteristic curve analysis
