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在男性因素不孕症患者中,使用计算机辅助精子分析(CASA)评估和严格标准通过宫内人工授精预测妊娠。

Prediction of pregnancy by intrauterine insemination using CASA estimates and strict criteria in patients with male factor infertility.

作者信息

Shibahara Hiroaki, Obara Hiromi, Hirano Yuki, Suzuki Tatsuya, Ohno Akiko, Takamizawa Satoru, Suzuki Mitsuaki

机构信息

Department of Obstetrics and Gynecology, Jichi Medical School, Tochigi, Japan.

出版信息

Int J Androl. 2004 Apr;27(2):63-8. doi: 10.1111/j.0105-6263.2004.00437.x.

Abstract

This study was performed to predict pregnancy by intrauterine insemination (IUI) using computer-aided sperm analysis (CASA) estimates and strict criteria in patients with male factor infertility. IUI was performed in 682 cycles on 160 male factor infertile patients. Semen examinations were carried out by CASA and strict criteria before and after sperm preparation using continuous-step density gradient centrifugation. Receiver operating characteristics (ROC) curves were constructed for assessment of the effectiveness of each individual parameter in predicting pregnancy by IUI. A clinically acceptable threshold was calculated when sensitivity plus specificity were maximum. The average cycle of IUI performed was 4.3 +/- 2.4. Pregnancy rate per cycle and per patient were 7.2% (49/682) and 28.1% (45/160), respectively. Using ROC curve, it was shown that normal sperm morphology assessed by the strict criteria before sperm separation and five parameters after sperm separation including rapid, progressive motility, average path velocity (VAP), curvilinear velocity (VCL), and straight line velocity (VSL) were able to predict pregnancy by IUI. Correlation between sperm parameters and pregnancy outcome was examined by the logistic regression model. In a multivariate analysis normal morphology before sperm separation >or=15.5% [odds ratio (OR) = 2.2, p = 0.02], rapid after sperm separation >or=25.5% [OR = 3.9, p = 0.029], and VCL after sperm separation >or=102.65 microm/sec [OR = 3.2, p = 0.002] were the parameters of predictive value for pregnancy outcome. Adjustment of the model for female age, female infertility factors, and the methods of ovulation induction did not change this finding, and the final model still had the same covariates. Pregnancy rates per cycle according to the number (0, 1, 2 and 3) of variables satisfied with the three parameters were 0% (0/110), 1.6% (3/183), 9.7% (21/217) and 15.1% (23/151), respectively. Three semen parameters including normal morphology before sperm separation, rapid and VCL after sperm separation were identified as predictors of pregnancy by IUI. These variables would be helpful when counselling patients before they make the decision to proceed with in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI)-ET.

摘要

本研究旨在利用计算机辅助精子分析(CASA)评估和严格标准,对男性因素不育患者通过宫腔内人工授精(IUI)预测妊娠情况。对160例男性因素不育患者进行了682个周期的IUI。在使用连续密度梯度离心法进行精子制备前后,通过CASA和严格标准进行精液检查。构建受试者工作特征(ROC)曲线,以评估每个参数在预测IUI妊娠方面的有效性。当敏感性加特异性最大时,计算临床可接受阈值。IUI的平均周期为4.3±2.4。每个周期和每位患者的妊娠率分别为7.2%(49/682)和28.1%(45/160)。使用ROC曲线表明,精子分离前通过严格标准评估的正常精子形态以及精子分离后的五个参数,包括快速、进行性运动、平均路径速度(VAP)、曲线速度(VCL)和直线速度(VSL),能够预测IUI妊娠。通过逻辑回归模型检验精子参数与妊娠结局之间的相关性。在多因素分析中,精子分离前正常形态≥15.5%[比值比(OR)=2.2,p = 0.02]、精子分离后快速运动精子≥25.5%[OR = 3.9,p = 0.029]以及精子分离后VCL≥102.65微米/秒[OR = 3.2,p = 0.002]是妊娠结局的预测参数。对女性年龄、女性不育因素和排卵诱导方法进行模型调整后,这一发现未改变,最终模型仍具有相同的协变量。根据满足这三个参数的变量数量(0、1、2和3),每个周期的妊娠率分别为0%(0/110)、1.6%(3/183)、9.7%(21/217)和15.1%(23/151)。精子分离前的正常形态、精子分离后的快速运动精子和VCL这三个精液参数被确定为IUI妊娠的预测指标。这些变量在为患者提供咨询,帮助他们决定是否进行体外受精(IVF)/卵胞浆内单精子注射(ICSI)-胚胎移植(ET)时将有所帮助。

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