不育症患者的精液情况与怀孕可能性的关系分析

The Statistics Analysis on the Possibility Between Condition of Semen in Infertility and Pregnant

目的探讨不育症患者精液情况与怀孕可能性的关系,指导辅助生育的选择。方法运用SPSS10.0统计分析软件,对收集和整理不同病因男性不育症256例进行病因分析,检验常规结果和数据分析,建立数据模型,对病例怀孕可能性进行预测。结果不明原因不育占第一位,其次为精索静脉曲张。怀孕与年龄、精液量、精子密度、精子活率、精子活力A、精子活力A+B相关。精液量虽然与怀孕有关,但量的多少与怀孕统计学上没有显著性差异(P>0.05)。而不同年龄、不同精子密度、不同精子活率、不同精子活力A、不同精子活力A+B与怀孕统计学上有显著性差异(P>0.01)。模型预测的正确率为78.9%,模型的回归方程Prob=1/(1+e-z),Z=6.676-0.348age+0.218 volume+0.24 density-0.217 survive+0.64 energy1+0.774 energy2。结论精液指标是目前评估男性生殖力的最直接方法,它的数据模型可作为辅助生育的筛选工具之一。

Objective To explore the possibility between condition of semen in infertility and pregnant, forecast on pregnant possibility and guide the chosen of Assisted reproduction. Methods With SPSS 10.0 analytical software, we conducted statistics on infertility pathogens, the relativity between index of semen and pregnant, set up data model, and guide on Assisted reproduction choices. Results The cases in which the pathogen of infertility is unknown reason ranked the first and the cases in which the pathogeny of varicocele ranked the second. Statistics results in comelation between index of semen and pregnant showed that the age was in inverse correlation, the semen amount, sperm density and sperm vitality were in positive correlation. Except the semen amount for which there were no significant differences statistically in pregnancy in different semen index of infertile patients. The average correct rate is 78.9% through the date model forecasting, Z = 6. 676 - 0. 348age ＋ 0. 218volume ＋ 0.24density - 0. 217survive ＋ 0.64energyl ＋ 0. 774energy2, the logistic regression： Prob = 1/（1 ＋ e^-z）. Conclusion The routine index of semen is the most direct way to evaluate man genitality till now, its data model can be used to be one of the screening tools in the Assisted reproduction choices.