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Diagnostic evaluation of the erectile function domain of the International Index of Erectile Function.

机译:国际勃起功能指数勃起功能域的诊断评估。

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OBJECTIVES: To evaluate the erectile function (EF) domain of the International Index of Erectile Function (IIEF) as a diagnostic tool to discriminate between men with and without erectile dysfunction (ED) and to develop a clinically meaningful gradient of severity for ED. METHODS: One thousand one hundred fifty-one men (1035 with and 116 without ED) who reported attempting sexual activity were evaluated using data from four clinical trials of sildenafil citrate (Viagra) and two control samples. The statistical program Classification and Regression Trees was used to determine optimal cutoff scores on the EF domain (range 6 to 30) to distinguish between men with and without ED and to determine levels of ED severity on the EF domain using the IIEF item on sexual intercourse satisfaction. RESULTS: For a 0.5 prevalence rate of ED, the optimal cutoff score was 25, with men scoring less than or equal to 25 classified as having ED and those scoring above 25 as not having ED (sensitivity 0.97, specificity 0.88). Sensitivity analyses revealed a robust statistical solution that was well supported with different assumed prevalence rates and several cross-validations. The severity of ED was classified into five categories: no ED (EF score 26 to 30), mild (EF score 22 to 25), mild to moderate (EF score 17 to 21), moderate (EF score 11 to 16), and severe (EF score 6 to 10). Substantial agreement was shown between these predicted and "true" classes (weighted kappa 0.80). CONCLUSIONS: The EF domain possesses favorable statistical properties as a diagnostic tool, not only in distinguishing between men with and without ED, but also in classifying levels of ED severity. Clinical validation with self-rated assessments of ED severity is warranted.
机译:目的:评估国际勃起功能指数(IIEF)的勃起功能(EF)域作为诊断工具,以区分患有和不患有勃起功能障碍(ED)的男性,并为ED制定具有临床意义的严重程度梯度。方法:使用来自四个枸of酸西地那非(Viagra)的临床试验数据和两个对照样本,对报告性行为尝试的1151名男性(1035例有ED和116例无ED)进行了评估。统计程序“分类和回归树”用于确定EF域(6至30)的最佳分界值,以区分是否患有ED的男性,并使用性交IIEF项确定EF域的ED严重程度满意。结果:对于ED患病率为0.5的情况,最佳门槛得分为25,得分低于或等于25的男性被归为ED,得分高于25的男性为不具有ED(敏感性为0.97,特异性为0.88)。敏感性分析显示了可靠的统计解决方案,该解决方案得到了不同的假定患病率和若干交叉验证的良好支持。 ED的严重程度分为五类:无ED(EF评分26至30),轻度(EF评分22至25),轻度至中度(EF评分17至21),中度(EF评分11至16)和重度(EF评分6到10)。这些预测的和“真实的”类别之间显示出实质性的一致性(加权κ0.80)。结论:EF域具有良好的统计特性作为诊断工具,不仅可以区分有和没有ED的男性,而且可以对ED严重程度进行分类。通过对ED严重程度进行自我评估的临床验证是必要的。

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