不孕症患者卵巢储备功能下降的影响因素分析

Analysis of Influencing Factors of Ovarian Reserve Function in Infertility Patients

目的探讨不孕症患者卵巢储备功能下降(DOR)的系列影响因素,以为不孕症防治工作的顺利开展奠定基础。方法选择该院2016年11月—2018年5月收治的62例DOR不孕症患者作为观察组;同时间段选择62名健康女性作为对照组;针对不孕症患者表现出卵巢储备功能下降的具体原因进行分析,利用Logistic多因素回归分析方法就DOR系列因素进行总结。结果观察组人工流产次数为(0.83±0.25)次,BMI为(23.36±2.82)kg/m2,自然流产次数为(0.41±0.11)次,药物流产次数为(0.45±0.12)次,促排卵次数为(1.27±0.39)次,对照组人工流产次数为(0.51±0.13)次,BMI为(22.17±2.51)kg/m2,自然流产次数为(0.22±0.04)次,药物流产次数为(0.30±0.06)次,促排卵次数为(0.91±0.25)次,对两组研究对象实施单因素分析后发现,在人工流产次数、BMI、自然流产次数、药物流产次数以及促排卵次数差异有统计学意义(t=8.942 0,2.481 9,12.781 7,8.803 4,6.1190,P<0.05)。在子宫内膜异位症史、月经量以及盆腔手术史方面,差异有统计学意义(χ~2=14.064 8,9.217 2,12.898 8,P<0.05),伴随着人工流产次数、BMI以及促排卵次数呈现出一定程度的增加,不孕症患者表现出DOR的概率呈现出一定程度增加。针对不孕症患者表现出DOR的独立危险因素进行分析,主要集中于盆腔手术史以及子宫内膜异位症史两方面。结论对于不孕症患者表现出DOR的系列因素进行分析,主要集中于人工流产史、BMI、子宫内膜异位症史、促排卵史以及盆腔手术史几方面,对此针对DOR发生风险加以预测,于早期合理选择激素展开对应治疗,对于DOR以及不孕症的发生风险可以有效降低。

Objective To explore the influencing factors of ovarian reserve function(DOR) in infertility patients, and to lay the foundation for the smooth development of infertility prevention and treatment. Methods Sixty-two patients with DOR infertility admitted to our hospital from November 2016 to May 2018 were selected as experimental observation group;62 healthy women were selected as experimental control group at the same time;ovarian reserve was shown for infertility patients. The specific reasons for the decline in function were analyzed, and the Logistic multi-factor regression analysis method was used to summarize the DOR series of factors.Results The number of induced abortions in the observation group was(0.83±0.25) times, the BMI was(23.36±2.82) kg/m^2, the number of spontaneous abortions was(0.41±0.11) times, and the number of medical abortions was(0.45±0.12) times and the frequency was(1.27±0.39) times, the number of induced abortions in the control group was(0.51±0.13) times, the BMI was(22.17±2.51) kg/m^2,the number of spontaneous abortions was(0.22±0.04) times, and the number of medical abortions was(0.30±0.06) times, the number of ovulation induction was(0.91±0.25) times. After single factor analysis of the two groups, the number of induced abortions, BMI,number of spontaneous abortions, number of medical abortions, and number of ovulation induction were statistically significantly different(t= 8.942 0, 2.481 9, 12.781 7, 8.803 4, 6.119 0,P< 0.05). In the history of endometriosis, menstrual flow and pelvic surgery,there were statistically significant differences(χ^2=14.064 8, 9.217 2, 12.889 8,P<0.05), with a certain degree of abortion, BMI and ovulation induction. The increase in the probability of DOR in infertility patients shows a certain increase. The independent risk factors for DOR in infertility patients were analyzed, mainly in the history of pelvic surgery and the history of endometriosis. Conclusion A series of factors showing DOR in infertility patients are mainly analyzed in the history of abortion, BMI, history of endometriosis,history of ovulation induction and history of pelvic surgery. It is predicted that the appropriate treatment of hormones in the early stage of the corresponding treatment can effectively reduce the risk of DOR and infertility.