Development and Validation of an Anxiety Disorder Prediction Model for Premature Ejaculation Patients
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 700
- 试验地点
- 2
- 主要终点
- Anxiety State of patients
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- Male
- 接受健康志愿者
- 否
入选标准
- •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
排除标准
- •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
结局指标
主要结局
Anxiety State of patients
时间窗: Within three months after the patient is diagnosed with premature ejaculation.
Use the Mini International Neuropsychiatric Interview (MINI) to conduct a structured interview with the patient to determine if they have an anxiety disorder.
Accuracy of the Prediction Model
时间窗: Through study completion, an average fo 1 year
Evaluate the accuracy of the prediction model by comparing its predictions against actual diagnoses of anxiety disorders.
次要结局
- Sensitivity of the Prediction Model(Through study completion, an average fo 1 year)
- Specificity of the Prediction Model(Through study completion, an average fo 1 year)