Volume 44 Issue 7
Jul.  2023
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Wenlin ZHOU, Ben NIU, Heng SU. Analysis of Clinical Risk Factors for Idiopathic Hypogonadotropic Hypogonadism[J]. Journal of Kunming Medical University, 2023, 44(7): 64-68. doi: 10.12259/j.issn.2095-610X.S20230727
Citation: Wenlin ZHOU, Ben NIU, Heng SU. Analysis of Clinical Risk Factors for Idiopathic Hypogonadotropic Hypogonadism[J]. Journal of Kunming Medical University, 2023, 44(7): 64-68. doi: 10.12259/j.issn.2095-610X.S20230727

Analysis of Clinical Risk Factors for Idiopathic Hypogonadotropic Hypogonadism

doi: 10.12259/j.issn.2095-610X.S20230727
  • Received Date: 2022-12-16
    Available Online: 2023-07-17
  • Publish Date: 2023-07-25
  •   Objective  To analyze the clinical risk factors in idiopathic hypogonadotropic hypogonadism patients (IHH).   Methods   We selected 120 patients with hypogonadism from the Endocrinology Department of the First People's Hospital of Yunnan Province from January 2008 to December 2021 (82 males, 38 females, including 25 Kalman syndrome patients; 22.43 ± 6.08 years) as the case group. We also selected 95 healthy patients with normal gonadal function (75 males and 20 females21.47±2.67 years) as the control group. General clinical data of patients in the case group and control group were collected, excluding the patients with some missing data. We analyzed whether the indicators were statistically different between the case and control groups by multivariate analysis. The data on the bone mineral density of 48 IHH patients, including 31 patients with reduced bone mineral density (22 males, 9 Females) and 17 patients with normal bone mineral density (6 males, 11 females), were collected in the case group. The risk factors leading to abnormal BMD were analyzed in IHH patients.   Results   There were significant differences in age, weight, E2, Testo, LH, FSH, CHOL and blood glucose (P < 0.05), and no significant differences in gender, height, TSH, T3, T4, FT3, FT4, TG, HDL-C, LDL-C (P > 0.05). Unordered binary Logistic regression analysis showed that E2 and Testo were the protective factors for IHH patients (P < 0.05). Comparison between the IHH patients for the reduced BMD group and the IHH patients for the normal BMD group: there were significant differences in sex and age (P < 0.05), while E2, Prog, Testo, PRL, LH, L H, FSH was not significant. Disordered binary Logistic regression analysis showed that age was the risk factor for BMD in IHH patients, and sex was the protective factor for BMD in IHH patients (P < 0.05).   Conclusions   IHH can lead to decrease of blood glucose, lipid and bone density. E2 and T are the protective factors for IHH, age is the risk factor for decreased bone density in IHH patients, and gender is the protective factor.
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