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Li Q, Zheng D, Lin H, Zhong F, Liu J, Wu Y, Wang Z, Guan Q, Zhao M, Gao L, Zhao J. High Circulating Follicle-Stimulating Hormone Level Is a Potential Risk Factor for Renal Dysfunction in Post-Menopausal Women. Front Endocrinol (Lausanne) 2021; 12:627903. [PMID: 33868168 PMCID: PMC8047631 DOI: 10.3389/fendo.2021.627903] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 03/18/2021] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE Menopause contributes to renal dysfunction in women, which is generally attributed to estrogen withdrawal. In addition to decreased estrogen level, serum follicle-stimulating hormone (FSH) level increases after menopause. This study investigated the association between high circulating FSH level and renal function in post-menopausal women. METHODS This observational cross-sectional study included 624 pre-menopausal, 121 peri-menopausal, and 2540 post-menopausal women. The levels of female sex hormones were examined by chemiluminescence and indices of renal function were measured using a clinical chemistry analyzer. The post-menopausal women were grouped into quartiles according to serum FSH levels. RESULTS Renal function progressively declined from pre-menopause to peri-menopause to post-menopause, which was accompanied by increasing serum FSH level. In post-menopausal women, serum creatinine level increased with increasing FSH quartile, which was accompanied by a decrease in estimated glomerular filtration rate (eGFR) (p for trend <0.001); moreover, the prevalence of declined eGFR (<90 ml/min/1.73 m2) and chronic kidney disease (CKD; eGFR <60 ml/min/1.73 m2) increased (p for trend <0.001). Even after adjusting for confounders, the odds ratios (ORs) of declined eGFR and CKD increased with increasing FSH quartiles in post-menopausal women. The ORs of declined eGFR (OR=2.19, 95% confidence interval [CI]: 1.63-2.92) and CKD (OR=10.09, 95% CI: 2.28-44.65) in the highest FSH quartile were approximately 2- and 10-fold higher, respectively, than in the lowest FSH quartile (p<0.05). After stratifying post-menopausal women by median age (61 years), the OR for declined eGFR for each FSH quartile in the older group was higher than that for the corresponding FSH quartile in the younger group. CONCLUSIONS A high circulating FSH level is an independent risk factor for renal dysfunction in women after menopause. Additionally, aging may aggravate the association of high FSH levels with reduced renal function in post-menopausal women.
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Affiliation(s)
- Qihang Li
- Department of Endocrinology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
| | - Dongmei Zheng
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Haiyan Lin
- Health Management Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Fang Zhong
- Department of Endocrinology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
| | - Jing Liu
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yafei Wu
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Zhixiang Wang
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Qingbo Guan
- Department of Endocrinology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Meng Zhao
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Ling Gao
- Department of Endocrinology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Department of Scientific Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Jiajun Zhao
- Department of Endocrinology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Shandong Clinical Medical Center of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, China
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- *Correspondence: Jiajun Zhao,
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Xu W, Li C, Qian G, Huang Y, Zhao L. [Association of metabolic syndrome with chronic kidney disease in premenopausal and postmenopausal women]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2019; 39:861-866. [PMID: 31340922 DOI: 10.12122/j.issn.1673-4254.2019.07.18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
OBJECTIVE To explore the relationship between metabolic syndrome (MS) and the risk for chronic kidney disease (CKD) in premenopausal and postmenopausal women. METHODS We conducted a cross-sectional study among 1346 community-based women from June to October 2012 and collected the data of personal history, lifestyle, physical measures and laboratory indicators. The diagnosis of CKD was established for an eGFR of less than 60 mL/min per 1.73 m2 or albuminuria. The diagnosis of metabolic syndrome was based on the International Diabetes Federation Guide. According to an epidemiological survey in Guangdong province, women older than 48.9 years were classified as having a postmenopausal status. The prevalence of MS and CKD was determined in both the premenopausal and postmenopausal women, and the association between MS and CKD was analyzed using logistic regression models. RESULTS MS was significantly correlated with CKD in premenopausal women in both unadjusted analyses (OR=3.10, 95% CI: 1.32-7.28, P=0.009) and in analysis after adjustment for potential confounders (OR=4.09, 95% CI: 1.63- 10.32, P=0.003). When adjusted for diabetes, hypertension, and hyperuricemia, no correlation was found between MS and CKD in premenopausal women (OR=1.56, 95% CI: 0.31-7.63, P= 0.592); in the unadjusted analyses, MS was significantly correlated with CKD in postmenopausal women (P < 0.001). After further adjustment for age, education status, current smoking, physical inactivity, and current drinking, MS was still significantly correlated with CKD (OR=2.60, 95% CI: 1.69-3.99, P < 0.001). When adjusted for diabetes, hypertension, and hyperuricemia, the correlation between MS and CKD was still significant (OR=1.61, 95% CI: 1.09-2.37, P=0.018). In the unadjusted model, a high blood pressure (OR=2.77, 95%CI: 1.57-4.89, P < 0.001), an elevated serum triglyceride level (OR=1.84, 95%CI: 1.16-2.90, P=0.009) and a high fast glucose level (OR=2.07, 95%CI: 1.30-3.28, P=0.002) were all significantly correlated with CKD in postmenopausal women. After adjusting for age, current smoking, current alcohol use, education status and physical inactivity, a high blood pressure (OR=2.28, 95%CI: 1.22-4.26, P=0.01), a high serum triglyceride level (OR=1.71, 95%CI: 1.03-2.86, P=0.039) and a high fast glucose (OR=2.25, 95%CI: 1.36-3.73, P=0.002) were still significantly correlated with CKD in postmenopausal women. Blood pressure, serum triglyceride level, fast glucose, serum HDL cholesterol level and central obesity were not correlated with CKD in either the unadjusted model or adjusted model in premenopausal women (P > 0.05). CONCLUSIONS MS is correlated with CKD in both premenopausal and postmenopausal women, and the association is dependent on diabetes, hypertension, and hyperuricemia in premenopausal women but not in postmenopausal women.
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Affiliation(s)
- Weicheng Xu
- Department of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
| | - Chijian Li
- Department of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
| | - Ge Qian
- Department of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
| | - Yuxiang Huang
- Department of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
| | - Liqin Zhao
- Health Management Center, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
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Association between metabolic syndrome and chronic kidney disease in perimenopausal women. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2013; 10:3987-97. [PMID: 23999547 PMCID: PMC3799514 DOI: 10.3390/ijerph10093987] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/09/2013] [Revised: 08/20/2013] [Accepted: 08/22/2013] [Indexed: 11/17/2022]
Abstract
The purpose of the study was to explore the association between metabolic syndrome (MetS) and chronic kidney disease (CKD) in perimenopausal women. A cross-sectional study was conducted in Zhuhai from June to October 2012. Perimenopausal women (n = 685) were included in the study. All participants were divided into three subgroups: Group 1, 40 years old ≤ Age < 50 years old; Group 2, 50 years old ≤ Age < 60 years old; Group 3, 60 years old ≤ Age ≤ 65 years old. MetS was associated with CKD (p < 0.01) in the unadjusted analyses in total subjects. After adjusting the potential confounders, the odd ratios of CKD for MetS was 2.66 (95% CI 1.56 to 4.49, p < 0.001). There was no relationship between MetS and CKD in both Group 1 and Group 3. MetS was associated with CKD (p < 0.001) in the unadjusted analyses in Group 2. After adjusting for potential confounders, MetS was significantly associated with CKD. The odd ratios for MetS was 6.79 (95% CI 2.30 to 20.09, p < 0.001). There was no relationship between elevated blood pressure, elevated fasting glucose, abdominal obesity, Low HDL cholesterol, elevated triglycerides and CKD in both Group 1 and Group 3. Elevated blood pressure was associated with CKD in Group 2 (unadjusted Odds ratio: 4.52 (1.28-16.02), p = 0.02). After adjusting for potential confounders, there was no relationship between elevated blood pressure and CKD (p = 0.78). Elevated fasting glucose was associated with CKD in Group 2 (unadjusted Odds ratio: 3.69 (1.10-12.38), p = 0.03). After adjusting for potential confounders, there was no relationship between elevated fasting glucose and CKD (p = 0.15). There was no relationship between abdominal obesity, Low HDL cholesterol, elevated triglycerides and CKD in Group 2. These findings suggest that in perimenopausal women aged from 50 or older to 60 MetS was associated with CKD. There is no relationship between MetS and CKD in perimenopausal women aged from 40 or older to 50 and aged from 60 or older to 65.
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