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首页> 外文期刊>Journal of assisted reproduction and genetics >Prediction model for testis histology in men with non-obstructive azoospermia: evidence for a limited predictive role of serum follicle-stimulating hormone
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Prediction model for testis histology in men with non-obstructive azoospermia: evidence for a limited predictive role of serum follicle-stimulating hormone

机译:患有非阻塞血清患者的男性睾丸组织学的预测模型:血清卵泡刺激激素有限预测作用的证据

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Purpose The present prediction model was intended to verify whether serum FSH level could be predictive of testis histology in patients with non-obstructive azoospermia (NOA). Methods We evaluated two datasets of patients with NOA: the first (San Paolo dataset) comprising 558 patients, 18-63 years old, the second (Procrea dataset) composed by 143 patients, 26-62 years old; bot datasets were combined to obtain a validation set. Multinomial logistic regression was first run with serum FSH and testis volume as independent predictors of testis histology, then, the correctly classified histological subcategories were set as outcome variables of a prediction model in both development and validation sets. Results Multinomial logistic regression showed that FSH was a significant predictor of testis histology in 58% of cases, although it was unable to correctly classify cases with focal SCO or maturation arrest (MA). A prediction model was then run with hypospermatogenesis (HYPO) and Sertoli-only syndrome (SCO) as outcome variables of a binary logistic regression. FSH significantly predicted both HYPO and SCO, with a sensitivity of 40.9 and 80.7 and a specificity of 84.3 and 46.8 respectively. The model showed a fair discriminative ability (ROC AUC 0.705 and 0.709 respectively) and was adequately calibrated. Conclusions Supported by a robust statistical analysis, we conclude that serum FSH level cannot be considered a prognostic marker of spermatogenic dysfunction in patients with NOA
机译:目的,本预测模型旨在验证血清FSH水平是否可以预测非阻塞性血吸虫(NOA)患者的睾丸组织学。方法我们评估了NOA患者的两种数据集:第一个(SAN PAOLO数据集)包含558名患者,18-63岁,由143名患者组成的第二(Procrea DataSet),26-62岁;组合BOT数据集以获取验证集。多项式逻辑回归首先使用血清FSH和Testis卷作为Testis组织学的独立预测因子运行,然后,将正确归类的组织学子类别设置为开发和验证集中预测模型的结果变量。结果多项式逻辑回归显示,58%的病例中睾丸组织学的重量预测因素是,尽管它无法正确地分类局灶性SCO或成熟逮捕(MA)。然后将预测模型用低血氨酸发育(Hypo)和仅血清综合征(SCO)作为二元逻辑回归的结果变量。 FSH显着预测了Hypo和SCO,灵敏度为40.9和80.7和84.3和46.8的特异性。该模型显示出公平的歧视能力(分别为ROC AUC 0.705和0.709)并被充分校准。结论通过稳健的统计分析支持,我们得出结论,血清FSH水平不能被认为是NOA患者的精子源性功能障碍的预后标志物

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