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一种用于预测体外受精的逻辑回归模型,该模型纳入了精子的DNA状态和形态。

A logistic regression model including DNA status and morphology of spermatozoa for prediction of fertilization in vitro.

作者信息

Duran E H, Gürgan T, Günalp S, Enginsu M E, Yarali H, Ayhan A

机构信息

Department of Obstetrics and Gynaecology, Hacettepe University, Ankara, Turkey.

出版信息

Hum Reprod. 1998 May;13(5):1235-9. doi: 10.1093/humrep/13.5.1235.

DOI:10.1093/humrep/13.5.1235
PMID:9647553
Abstract

To determine predictive values of routine semen analysis, sperm morphology evaluation using strict criteria and DNA status for in-vitro fertilization (IVF), 66 consecutive couples undergoing IVF in a university hospital IVF programme were prospectively investigated. Semen samples from 66 men were evaluated by routine semen analysis, morphology evaluation using strict criteria and acridine orange staining for determination of DNA status. A new technique is described for acridine orange scoring which consisted of evaluation of two smears per case, with and without heat treatment. Resistance to heat-provoked denaturation was determined by the difference between two evaluations. A logistic regression model was built and receiver operating characteristic curves were constructed to determine the threshold values and to compare diagnostic properties. Morphology evaluation using strict criteria and concentration of progressively motile spermatozoa were found to be the principal parameters determining the sperm fertilizing capacity in vitro. The logistic regression model composed of morphology evaluation using strict criteria and acridine orange score had a powerful diagnostic capability for prediction of fertilization in vitro.

摘要

为了确定常规精液分析、采用严格标准的精子形态学评估以及DNA状态对体外受精(IVF)的预测价值,我们对一家大学医院IVF项目中连续66对接受IVF的夫妇进行了前瞻性研究。对66名男性的精液样本进行了常规精液分析、采用严格标准的形态学评估以及吖啶橙染色以确定DNA状态。描述了一种新的吖啶橙评分技术,该技术包括对每个病例的两张涂片进行评估,一张经过热处理,一张未经热处理。通过两次评估之间的差异来确定对热激发变性的抗性。构建了逻辑回归模型并绘制了受试者工作特征曲线,以确定阈值并比较诊断性能。发现采用严格标准的形态学评估和进行性运动精子的浓度是决定精子体外受精能力的主要参数。由采用严格标准的形态学评估和吖啶橙评分组成的逻辑回归模型对体外受精的预测具有强大的诊断能力。

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