血浆粘度的变化能否预测勃起功能障碍的严重程度?

Revista internacional de andrologia Pub Date : 2024-12-01 Epub Date: 2024-12-30 DOI:10.22514/j.androl.2024.029
Salim Zengin, Muhammet Guzelsoy, Abdullah Gul, Metin Kilic, Ozgur Ekici, Caglar Boyaci, Deniz Barali, Yunus Karakoc
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引用次数: 0

摘要

背景:我们的目的是通过探讨PV与勃起功能障碍(ED)的可能关系,如在动脉粥样硬化性血管疾病中。方法:在2021年10月至2022年12月期间,99例以ED为主诉就诊于泌尿科综合诊所的患者被纳入研究(第一组)。52例以非ED为主诉就诊的患者作为对照组(第二组)。52名勃起功能正常的受试者作为对照组,17名受试者患有轻度ED, 24名受试者患有轻度ED, 31名受试者患有中度ED, 27名受试者患有重度ED。组1的PV (p < 0.001)、年龄(p < 0.001)、空腹血糖(p < 0.001)、糖化血红蛋白水平(p < 0.001)和冠状动脉疾病发生率(p = 0.028)显著高于组1。第1组高密度脂蛋白(HDL)胆固醇显著降低(p = 0.001)。IIEF评分与PV呈负相关(p < 0.001),而PV与年龄呈正相关(p = 0.023)。Logistic回归分析显示血浆粘度(p < 0.001)和年龄(p < 0.001)可预测ED。PV的临界值为1.12 mPas,曲线下面积(AUC)为0.808(95%可信区间(CI): 0.734-0.883),预测ED的敏感性为72%,特异性为74%。年龄的临界值为47.5岁,预测ED的敏感性为56%,特异性为90% (AUC: 0.807, 95% CI: 0.738-0.877)。结论:根据本研究的结果,ED患者的PV较高,与IIEF评分呈负相关,可预测ED。PV测量可用于支持ED的诊断和评估其严重程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can the severity of erectile dysfunction be predicted by the change in plasma viscosity.

Background: We aimed to contribute to the literature by exploring the possible relationship of PV with erectile dysfunction (ED), as in atherosclerosis-based vascular diseases.

Methods: Between October 2021 and December 2022, 99 patients who applied to the urology polyclinic with a complaint of ED were included in the study (Group 1). Fifty-two patients who applied with a complaint other than ED constituted the control group (Group 2).

Results: While 52 participants with normal erectile function were included as controls, 17 participants had mild ED, 24 had mild-moderate ED, 31 had moderate ED, and 27 had severe ED. PV (p < 0.001), age (p < 0.001), fasting blood glucose (p < 0.001), glycated hemoglobin level (p < 0.001), and rate of coronary artery disease (p = 0.028) were significantly higher in Group 1. High density lipoprotein (HDL) cholesterol was significantly lower in Group 1 (p = 0.001). A negative correlation was found between IIEF score and PV (p < 0.001), whereas a positive correlation was found between PV and age (p = 0.023). Logistic regression analyses revealed that plasma viscosity (p < 0.001) and age (p < 0.001) were predictive of ED. The cut-off value for PV was 1.12 mPas with area under the curve (AUC) of 0.808 (95% confidence interval (CI): 0.734-0.883) and it predicted ED with 72% sensitivity and 74% specificity. The cut-off value for age was 47.5 years and it predicted ED with 56% sensitivity and 90% specificity (AUC: 0.807, 95% CI: 0.738-0.877).

Conslusions: According to the results of this study, PV is higher in patients with ED, negatively correlated with IIEF score, and predictive of ED. PV measurements may be useful in supporting the diagnosis of ED and evaluating its severity.

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