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Application of machine learning tools for evaluating the impact of premenopausal hysterectomy on serum anti-mullerian hormone levels
Indian Journal of Biochemistry and Biophysics ( IF 1.476 ) Pub Date : 2020-04-27
Boddupally Sreenu, SV Kameswari, Shaik Mohammad Naushad, Vijay Kumar Kutala

Women who have had premenopausal total hysterectomy at a young age could probably experience partial or total loss of ovarian function. The purpose of this retrospective cross-sectional study is to investigate the ovarian function in women underwent hysterectomy at an early age. A total of 1165 subjects comprised of 685 hysterectomised women and 480 age matched controls were enrolled in the study. We found that there is a steady decline in serum Anti Mullerian Hormone (AMH) levels, a marker of ovarian function after every five years post - hysterectomy in early age groups (20-30 yr and 31-40 yr) followed by loss of ovarian function in the age group of 40-50 yr. The application of multiple linear regression and machine learning tools has revealed that AMH is positively correlated with LH and estradiol and negatively correlated with age, FSH, years since hysterectomy and vitamin D. Serum AMH level of <0.08 ng/ml is associated with the increased of FSH, decreased LH and estradiol. The decreased ovarian function is associated with lower calcium levels, which are likely to influence the bone health. In conclusion, by utilizing multiple linear regression and machine learning tools, we found that serum FSH is the most important in predicting the AMH-mediated ovarian function.

中文翻译:

机器学习工具在评估绝经前子宫切除术对血清抗苗勒激素水平的影响中的应用

绝经前全子宫切除术的女性可能会经历部分或全部卵巢功能丧失。这项回顾性横断面研究的目的是调查在早期接受子宫切除术的女性的卵巢功能。这项研究共纳入1165名受试者,其中包括685名经子宫切除的妇女和480名年龄相匹配的对照组。我们发现早期年龄组(20-30岁和31-40岁)子宫切除术后每五年,血清抗穆勒激素(AMH)水平持续下降,这是卵巢功能的标志。在40-50岁年龄段的儿童中发挥作用。多元线性回归和机器学习工具的应用表明,AMH与LH和雌二醇正相关,而与年龄,FSH,子宫切除术和维生素D以来已有30多年的历史。血清AMH水平<0.08 ng / ml与FSH升高,LH和雌二醇降低有关。卵巢功能降低与钙水平降低有关,这很可能影响骨骼健康。总之,通过利用多种线性回归和机器学习工具,我们发现血清FSH在预测AMH介导的卵巢功能中最重要。
更新日期:2020-04-27
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