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Development and Validation of an Anxiety Disorder Prediction Model for Premature Ejaculation Patients

A

Air Force Military Medical University of People's Liberation Army

Status

Enrolling

Conditions

Premature Ejaculation
Anxiety

Study type

Observational

Funder types

Other

Identifiers

NCT06677814
KY 20212177-F-1

Details and patient eligibility

About

Background:

Premature ejaculation (PE) is a common sexual dysfunction that can significantly impact the quality of life and psychological well-being of affected individuals. Anxiety disorders, often comorbid with PE, exacerbate symptoms and complicate treatment outcomes. There is a critical need for a reliable prediction model to identify patients at risk of developing anxiety disorders associated with PE.

Objective:

The primary aim of this study is to develop and validate a predictive model that accurately identifies premature ejaculation patients who are at high risk of developing anxiety disorders. The model will be designed to facilitate early intervention strategies and improve patient outcomes.

Methods:

This prospective observational study will enroll male patients diagnosed with PE from multiple clinical centers. Participants will undergo comprehensive assessments including validated questionnaires, clinical interviews, and medical history reviews to collect baseline data on potential predictors of anxiety disorders. Machine learning algorithms will be utilized to analyze the collected data and derive a predictive model. External validation will be conducted using a separate cohort of patients not involved in the initial model development phase.

Outcome Measures:

The primary outcome measure will be the accuracy of the predictive model in identifying patients who subsequently develop anxiety disorders within a predefined follow-up period. Secondary outcomes include evaluating the model's sensitivity, specificity, positive predictive value, and negative predictive value.

Significance:

Successful development and validation of this prediction model could lead to improved patient care through targeted interventions and personalized treatment plans for those at risk of anxiety disorders related to PE. This research may also contribute to a better understanding of the complex interplay between sexual dysfunction and mental health.

Enrollment

700 estimated patients

Sex

Male

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Comply with the international medical premature ejaculation diagnostic criteria
  • Individuals with a "heterosexual" orientation who engage in vaginal intercourse
  • Having a stable relationship with "monogamy"
  • The International Index of Erectile Function-5 scale is ≥17 points, indicating that the patient has no erectile dysfunction or only mild erectile dysfunction
  • Be informed of the purpose of this study, support this study, and complete the informed consent form

Exclusion criteria

  • Minors under the age of 18
  • Individuals with a sexual orientation of "gay" or "bisexual"
  • The judgment of "ejaculation too fast" is based only on masturbation or non-vaginal sexual intercourse
  • The score of the premature ejaculation self-assessment scale is ≤8 points
  • Suffering from diseases that may affect anxiety symptoms (hyperthyroidism/hypothyroidism, digestive diseases, malignant tumors, etc.)
  • Within 2 months, have taken anti-anxiety drugs and/or drugs for PE treatment
  • Those with a history of severe neurological diseases (such as epilepsy) and/or a history of schizophrenia, bipolar disorder, or other mental disorders
  • Poor cooperation during diagnostic interviews

Trial design

700 participants in 2 patient groups

Training cohort
Description:
This cohort data will be used to screen for independent risk factors for anxiety disorders in patients with premature ejaculation and to initially construct a risk prediction model.
Validation cohort
Description:
This cohort data will be used to verify the performance and stability of the risk prediction model to ensure the promotion and use of the model.

Trial contacts and locations

2

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Central trial contact

Zhaoqing Li, bachelor; Jianlin Yuan, Doctor

Data sourced from clinicaltrials.gov

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