Preliminary exploration of the relationship between the serum anti-Müllerian hormone and the related clinical factors
10.3760/cma.j.cn321828-20200906-00336
- VernacularTitle:抗米勒管激素和相关临床因素间关系的初步探索
- Author:
Chenhui LEI
1
;
Kairu NI
;
Lijuan WU
;
Shijian YAN
;
Hong ZHANG
;
Yizhen SHI
Author Information
1. 皖南医学院弋矶山医院医学影像中心，芜湖 241000
- Keywords:
Anti-Mullerian hormone;
Ovarian function tests;
Age factors
- From:
Chinese Journal of Nuclear Medicine and Molecular Imaging
2022;42(4):221-225
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the relationship between serum anti-Müllerian hormone (AMH) level and related clinical factors in healthy females, and establish and validate equation of correlation between age and serum AMH level for healthy females.Methods:From March 2015 to December 2016, a total of 602 females who measured serum AMH level in Department of Nuclear Medicine, the Second Affiliated Hospital of Soochow University were retrospectively enrolled. All cases had relatively complete clinical data, and were divided into healthy group (484 cases, 20-52 years) and case group (118 cases, 20-42 years; patients with menstrual disorders). Relationships between serum AMH level and estradiol (E2), tesosterone (T), follicle stimulating hormone (FSH), luetinizing hormone (LH), body mass index (BMI) of healthy group were analyzed by Spearman rank correlation. Kruskal-Wallis rank sum test was used to analyze the relationship between history of gestation and serum AMH level. Serum AMH level of health group was processed to establish predictive equation for serum AMH level. Internal ( n=27) and external ( n=37) validation group were chosen from healthy females with serum AMH level measured to validate the equation, and signed rank test was used to analyze the data. Difference between serum AMH level in case group and healthy group with corresponding age was explored by independent-sample t test. Results:Serum AMH levels were positively correlated with E2 and T ( rs values: 0.263, 0.334, both P<0.001), and negatively correlated with FSH, LH, BMI ( rs values: from -0.515 to -0.110, all P<0.005). Predictive equation was established as LogAMH=-1.208+ 0.1×age-0.000 042×age 3 ( R2=0.735, P<0.001). No statistically significant difference was found between real serum AMH levels and calculated serum AMH levels in the internal and external validation groups ( z values: -1.62 and -1.52, both P>0.05). Females in case group ( n=118) and control group ( n=446) were divided into two sub-groups respectively (<35 years and ≥35 years), and serum AMH levels of case group were lower than those of control group with corresponding age ( t values: 18.64, 11.70, both P<0.001). Conclusions:In healthy females, serum AMH level is related to some clinical data. The equation between serum AMH level and age established in the study may provide reference for clinical diagnosis and treatment.
