一旦诊断为无精子症,血清FSH水平可以预测精液中的精子识别。

IF 2.8 Q2 REPRODUCTIVE BIOLOGY
Reproduction & fertility Pub Date : 2025-03-03 Print Date: 2025-01-01 DOI:10.1530/RAF-24-0090
Kei-Ichiro Uemura, Toshiyuki Iwahata, Akiyoshi Osaka, Ippei Hiramatsu, Kouhei Sugimoto, Hiroshi Okada, Kazutaka Saito
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引用次数: 0

摘要

多重精液分析对于鉴别严重少精症或隐精症患者非常重要。此外,隐精子症和严重少精子症的临床预测因素是必要的。因此,我们的目的是基于重复精液分析,确定先前诊断为非阻塞性无精子症的患者精子恢复的预测因素。我们回顾性地纳入209例诊断为非阻塞性无精子症的患者。关于诊断年龄的数据;身体质量指数;睾丸体积;血清黄体生成素、卵泡刺激素和睾酮水平;吸烟史;并对睾丸微石症进行分析。将患者分为假无精子症(FAZO)和真无精子症(TAZO)两组。此外,采用Mann-Whitney U检验以及单因素和多因素logistic回归模型对fazo相关因素进行评估。对于fazo相关因素,采用受试者工作特征曲线分析确定截止水平。在209例非阻塞性无精子症患者中,33例(15.8%)在随后的精液分析中发现了精子。多因素分析显示FAZO组促卵泡激素水平明显低于TAZO组。受试者工作特征曲线分析显示,促卵泡激素水平临界值为15.3 mIU/mL, FAZO组和TAZO组促卵泡激素水平≤15.3 mIU/mL的患者分别为26例(78.8%)和29例(16.5%)。综上所述,促卵泡激素水平是FAZO的预测因素。在诊断为无精子症且促卵泡激素水平相对较低的患者中,多次精液分析可能有助于识别射精精液中的精子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Serum FSH levels can predict sperm identification in semen once diagnosed azoospermia.

Graphical abstract:

Abstract: Multiple semen analyses are important for identifying patients with severe oligozoospermia (SOS) or cryptozoospermia (CZO). Moreover, clinical predictive factors for CZO and SOS are warranted. Therefore, we aimed to identify predictors of sperm retrieval in patients with a prior diagnosis of nonobstructive azoospermia (NOA) based on repeat semen analysis. We retrospectively included 209 patients diagnosed with NOA. Data regarding age at diagnosis, body mass index, testicular volume, serum luteinizing hormone, follicle-stimulating hormone (FSH) and testosterone levels, smoking history and testicular microlithiasis were analyzed. Patients were classified into the falsely reported azoospermia (FAZO) and true azoospermia (TAZO) groups. Furthermore, FAZO-related factors were evaluated using the Mann-Whitney U test and univariate and multivariate analysis logistic regression models. Regarding FAZO-related factors, the cut-off level was determined using receiver operating characteristic (ROC) curve analysis. Among 209 patients with NOA, 33 (15.8%) had spermatozoa identified in subsequent semen analyses. Multivariate analysis revealed that the FAZO group had significantly lower FSH levels than the TAZO group. ROC curve analysis showed that the cut-off value for the FSH level was 15.3 mIU/mL, with 26 (78.8%) and 29 (16.5%) patients in the FAZO and TAZO groups, respectively, having FSH levels ≤15.3 mIU/mL. In conclusion, the FSH level was a predictive factor for FAZO. In patients diagnosed with azoospermia who have relatively low FSH levels, multiple semen analyses might facilitate identification of sperm in ejaculated semen.

Lay summary: We evaluated 209 patients diagnosed with spermless semen at prior medical institutions. After thorough semen analyses at our hospital, sperm were identified in the ejaculates of 33 (15.8%) patients. We performed comparisons between patients with and without identified sperm. The serum FSH level was identified as a significant predictive factor for sperm presence. FSH stimulates testicular growth and function and promotes sperm development. Patients who had relatively low and high FSH levels for patients with spermless semen had an increased and decreased chance, respectively, of having sperm identified in ejaculated semen through repeat thorough semen analyses. Sperm might be identified in ejaculates of patients diagnosed with spermless semen who have relatively low FSH levels.

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