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当精液分析参数的不同组合异常时,宫内人工授精的妊娠率是否存在差异?

Do pregnancy rates differ with intra-uterine insemination when different combinations of semen analysis parameters are abnormal?

作者信息

Kuriya Anita, Agbo Chioma, Dahan Michael H

机构信息

Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, McGill University Health Center, Montreal, Canada

Department of Emergency Medicine, Stanford University School of Medicine, California, USA

出版信息

J Turk Ger Gynecol Assoc. 2018 Jun 4;19(2):57-64. doi: 10.4274/jtgga.2017.0082. Epub 2018 Mar 19.

Abstract

OBJECTIVE

To evaluate the relationship of one or a combination of semen analysis parameter results on insemination outcomes.

MATERIAL AND METHODS

A retrospective analysis was performed to evaluate the effect on pregnancy rates in relation to one or more abnormal semen analysis parameters based on the 2010 World Health Organization semen analysis guidelines.

RESULTS

Nine hundred eighty-one couples underwent 2231 intrauterine insemination cycles at the Stanford Fertility and Reproductive Medicine Center. In our study, the pregnancy rates ranged from 11-25% when an individual or combined semen analysis parameters were analyzed. Similar pregnancy rates were found when one, two, and in most cases three parameters were abnormal. When a single parameter was abnormal among volume, concentration, and motility, pregnancy rates were mainly unaffected. There was the exception of total sperm count where pregnancy rates were diminished when counts were below 39 million (p=0.04).

CONCLUSIONS

Clearly, total sperm in the specimen and not the concentration of sperm per milliliter was the critical factor for predicting pregnancy. Therefore, a reorganization of semen analysis reports should be done emphasizing the total amount of sperm present and de-emphasizing concentration of sperm.

摘要

目的

评估精液分析参数结果中的一项或多项组合与授精结局之间的关系。

材料与方法

基于2010年世界卫生组织精液分析指南,进行回顾性分析,以评估一项或多项精液分析参数异常对妊娠率的影响。

结果

981对夫妇在斯坦福生育与生殖医学中心接受了2231个宫内授精周期。在我们的研究中,分析单个或组合精液分析参数时,妊娠率在11%至25%之间。当一项、两项以及大多数情况下三项参数异常时,妊娠率相似。当精液量、浓度和活力这三项参数中仅有一项异常时,妊娠率基本不受影响。但总精子数是个例外,当精子数低于3900万时,妊娠率会降低(p = 0.04)。

结论

显然,样本中的总精子数而非每毫升精子浓度是预测妊娠的关键因素。因此,精液分析报告应进行调整,强调精子总数,淡化精子浓度。

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