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| ORIGINAL ARTICLE |
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| Year : 2017 | Volume
: 20
| Issue : 2 | Page : 153-157 |
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Chronic kidney disease in Chinese postmenopausal women: A cross-sectional survey
F Pei1, Z Zhou2, Y Li2, Y Ren2, X Yang2, G Liu1, Q Xia1, Z Hu1, L Zhang3, M Zhao3, H Wang3
1 Department of Nephrology, Qi-Lu Hospital of Shandong University, Jinan, P. R. China
2 Department of Nephrology, Linyi People's Hospital, Linyi, Shandong, P. R. China
3 Division of Nephrology, Peking University Institute of Nephrology, University First Hospital, Beijing, P. R. China
| Date of Acceptance | 11-Jul-2016 |
| Date of Web Publication | 13-Jan-2017 |
Correspondence Address:
Dr. Z Hu
Department of Nephrology, Qi-Lu Hospital of Shandong University, 107 Wenhua Xi Road, Jinan 250012, Shandong
P. R. China
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/1119-3077.198314
 Abstract | | |
Introduction: Despite advances in the management of chronic kidney disease (CKD), there is ongoing uncertainty regarding the prevalence of CKD in postmenopausal women. This study was designed to investigate both CKD prevalence and related risk factors in a cohort of postmenopausal Chinese women.
Materials and Methods: A cross-sectional survey was administered to a nationally representative sample of female Chinese participants, including a total of 47,204 subjects, among whom were 8573 self-reported postmenopausal women. CKD was defined as either an estimated glomerular filtration rate (eGFR) of <60 mL/min/1.73 m2 body surface area or else the presence of albuminuria. All subjects completed a questionnaire that included items related to their lifestyles and medical histories. Data were collected on blood pressure, serum creatinine, urinary albumin, and urinary creatinine. Risk factors correlated with the presence of CKD were analyzed using logistic regression analysis.
Results: Results showed that the adjusted prevalence of an eGFR of < 60 mL/min/1.73 m2 among this postmenopausal survey cohort was 5.3% (95% confidence interval: 4.7–6.1) and of albuminuria, 12.4% (11.7–13.1). The overall prevalence of CKD in this postmenopausal cohort was 16.6% (15.8–17.4). Factors associated with kidney pathology included nephrotoxic drug use, history of cardiovascular disease, hyperuricemia, hypertension, and diabetes (the lower limit of multivariable adjusted odds ratios > 1).
Conclusion: The current study revealed a high prevalence of CKD in Chinese postmenopausal women. These results provide baseline data for disease prevention and treatment. Keywords: Albuminuria, Chinese postmenopausal women, chronic kidney disease, creatinine, cross-sectional survey, glomerular filtration rate
How to cite this article:
Pei F, Zhou Z, Li Y, Ren Y, Yang X, Liu G, Xia Q, Hu Z, Zhang L, Zhao M, Wang H. Chronic kidney disease in Chinese postmenopausal women: A cross-sectional survey. Niger J Clin Pract 2017;20:153-7 |
How to cite this URL:
Pei F, Zhou Z, Li Y, Ren Y, Yang X, Liu G, Xia Q, Hu Z, Zhang L, Zhao M, Wang H. Chronic kidney disease in Chinese postmenopausal women: A cross-sectional survey. Niger J Clin Pract [serial online] 2017 [cited 2022 Jun 29];20:153-7. Available from: https://www.njcponline.com/text.asp?2017/20/2/153/198314 |
| Introduction | |  |
Emerging lines of evidence demonstrate that perimenopausal women (defined as the time period immediately prior to and 5 years following menopause onset) have a high risk of developing chronic kidney disease (CKD).[1],[2] Nevertheless, CKD and its associated risk factors in postmenopausal women in China are still poorly understood. In the present study, a cross-sectional survey of a nationally representative sample of adult Chinese females was conducted. The association between CKD and postmenopausal status was studied, and this study revealed several factors related to kidney damage in postmenopausal women.
| Materials and Methods | | |
Study participants
A multistage, stratified sampling method was used, as previously described in detail.[3] Briefly, participants from 13 provinces located in different geographical regions of China including east, south, middle, north, northwest, and southwest were included in this study cohort. Urban and rural districts were then selected from each included province. A total of 50,550 individuals were invited to participate, among whom 47,204 completed the survey. From this survey population, 8573 postmenopausal women were recruited for further analysis that formed the basis for this study. Postmenopause was defined as a self-reported physiological condition. The study was approved by the Ethics Committee of our university. All participants provided written informed consent prior to data collection.
Screening protocol
Data were collected in examination centers located within local health stations or community clinics within participants' residential areas. These on-site screenings were performed between September 2009 and September 2010. With the assistance of trained general practitioners, medical students, and nurses, all participants completed a questionnaire documenting socio-demographic status (e.g age and education), lifestyle (e.g smoking and drinking habits), and personal and family health history (e.g hypertension, diabetes, and kidney disease). Anthropometric measurements, including weight and height, were also collected. All study investigators received training that taught the methods and processes utilized in the study.
Evaluation of renal injury indicators and other covariates
Participants' blood and urine samples were analyzed at a central laboratory located within each province. Urinary albumin and creatinine were measured, albuminuria by means of immunoturbidimetric tests and creatinine by Jaffe's kinetic method.[4] The urinary albumin to creatinine ratio (ACR; mg albumin/g creatinine) was calculated. Albuminuria was defined as an ACR >30 mg/g. Blood samples were collected by venipuncture, and serum creatinine was measured by the same method employed for urinary creatinine detection. Estimated glomerular filtration rate (eGFR) was calculated using the following equation as previously reported:[5]
eGFR (mL/min/1.73 m2) = 175 × SCr−1.234 × age−0.179 × 0.79
Where, SCr stands for serum creatinine (mg/dL).
CKD was defined as an eGFR <60 mL/min/1.73 m2 or the presence of albuminuria, as defined above.
CKD was Staged 1 through 5, according to the kidney disease outcome quality initiative,[6] and Stage 3 CKD was further sub-categorized as either Stage 3a (≥45 mL/min/1.73 m2) or 3b (<45 mL/min/1.73 m2).
Resting blood pressure was measured using a sphygmomanometer. The average of the three readings was calculated, unless the difference between readings was higher than 10 mm Hg, in which case, the average of the two closest measurements was calculated. Hypertension was defined as follows: Either a systolic blood pressure ≥140 mm Hg or a diastolic blood pressure ≥90 mm Hg or the use of antihypertensive drugs in the 2 weeks preceding the study onset, irrespective of blood pressure measurements or any self-reported history of hypertension. Fasting blood glucose was measured enzymatically by a glucose oxidase assay. Diabetes was defined as either a fasting plasma glucose level ≥7.0 mM, or by the patient's use of hypoglycemic agents regardless of fasting plasma glucose, or by a self-reported history of diabetes. Total serum lipid measurements included low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides; these and serum uric acid were measured with commercially available reagents. The provincial testing laboratories used a timed-endpoint colorimetric method to measure LDL-C and HDL-C. Hyperuricemia was defined as a plasma uric acid concentration >363 μM.
Statistical analysis
EpiData software (freeware, version 3.1; EpiData Association, www.EpiData.dk) was utilized for data input and management. Analyses were performed with SUDAAN (version 10, RTI International, SUDAAN@rti.org) and SAS (version 9.1, SAS Institute Inc., Cary, NC, USA). Normally distributed data are presented as proportions for categorical variables or as mean ± standard deviation (SD) for continuous variables (e.g age). ACR is presented as median (interquartile range).
The association between self-reported postmenopausal status and the presence of CKD was studied by means of logistic regression models. Crude and multivariable adjusted odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Covariates in the multivariable logistic regression models included the following data: Current smoker (yes vs. no), alcohol intake (habitual drinker, nonhabitual drinker, or nondrinker), self-reported hepatitis-B virus (HBV) infection (yes/no), nephrotoxic drug use (yes/no), history of cardiovascular disease (yes/no), hypertension (yes/no), diabetes (yes/no), hyperuricemia (defined as uric acid >6.1 mg/dL), rural versus urban residency, body mass index ≥25 kg/m 2 (yes/no) (calculated as measured weight in kilograms divided by the square of measured height in meters), plasma triglyceride level >1.7 mM (yes/no), plasma cholesterol level >5.2 mM (yes/no), plasma LDL-C level >3.64 mM (yes/no), and plasma HDL-C level <0.91 (yes/no).
| Results | | |
Characteristics of postmenopausal women
A total of 8573 postmenopausal women formed the study cohort. Compared to participants without indicators of kidney damage, subjects with CKD had the following characteristics: A more-advanced age; nephrotoxic medication use; a lower prevalence of self-reported HBV infection; a higher prevalence of cardiovascular disease, hypertension, and diabetes; elevated uric acid, triglyceride, creatinine, eGFR, ACR; a higher number of rural residents and a lower number of years in school [Table 1]. | Table 1: Demographic and clinical characteristics of the postmenopausal cohort
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Prevalence of indicators of kidney function by disease stage
Among our cohort of 8573 postmenopausal women, the adjusted prevalence of an eGFR of <60 mL/min/1.73 m 2 was 5.3% (95% CI: 4.7–6.1) and that of albuminuria was 12.4% (95% CI: 11.7–13.1) [Table 2]. The overall adjusted prevalence of CKD among Chinese postmenopausal women in the cohort was 16.6% (95% CI: 15.8–17.4). In addition, the prevalence of kidney damage indicators at different CKD stages is presented in [Table 2]. The prevalence of an eGFR of 60–89 mL/min/1.73 m 2 was extremely high in cohort members with Stage 2 renal disease (47.7 [95% CI: 46.6–48.7]), and the prevalence of albuminuria was very high in cohort members with Stage 4 (42.9% [95% CI: 21.7–64.0]) and Stage 5 (45.5% [95% CI: 16.0–74.9]) renal disease. | Table 2: Prevalence of kidney function indicators in the postmenopausal cohort by disease stage
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Risk factors associated with indicators of kidney damage in postmenopausal women
We next analyzed factors associated with kidney damage indicators in our cohort of postmenopausal women. Logistic regression analysis revealed that the following factors were all associated with an eGFR lower than 60 mL/min/1.73 m 2 (the lower limit of multivariable adjusted ORs >1): Nephrotoxic drug use, a history of cardiovascular disease, and hyperuricemia [Table 3]. Hypertension and diabetes increased the chance of albuminuria being present (the lower limit of multivariable adjusted ORs >1; [Table 3]). In addition, the incidence of CKD was associated with nephrotoxic drug use, a history of cardiovascular disease, hypertension, diabetes, hyperuricemia, and triglyceride >1.7 mM (the lower limit of multivariable adjusted ORs >1; [Table 3]). | Table 3: Factors associated with indicators of kidney damage in the postmenopausal cohort
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| Discussion | | |
This study surveyed 8573 postmenopausal women living in 13 provinces from different geographical regions of China. An analysis of CKD, lifestyle, and pathological factors associated with the disease in this cohort was conducted.
The association between postmenopausal women and CKD
The percentage of postmenopausal women among all initially recruited survey participants was approximately 18.2%. The overall adjusted prevalence of CKD was 16.6% (95% CI: 15.8–17.4) in this cohort of postmenopausal women, which is higher than the overall prevalence of CKD in Chinese adults (10.8% [95% CI: 10.2–11.3]) in 2012.[3] Moreover, it was found that the prevalence of an eGFR <60–89 mL/min/1.73 m 2 was extremely high in our cohort of postmenopausal women with Stage 2 renal disease, and that the prevalence of albuminuria was very high in our cohort of postmenopausal women with Stages 4 and 5 renal disease. These data indicate that the prevalence of kidney pathology is relatively high in postmenopausal women.
In addition, research indicates that menopause is associated with a high prevalence of osteoporosis, vertebral fractures, diabetes mellitus, and other diseases. Another association revealed by recent research is the occurrence of end-stage renal disease as an independent factor for earlier-onset menopause.[7] In mid-life women, moderate CKD has been linked to diminished cognitive performance.[8] Schopick et al. showed that long-term postmenopausal hormone use (>6 years) is associated with a reduced urinary ACR level in nondiabetic women, implying that postmenopausal hormone use may impact the renin-angiotensin system and renal endothelial function, therefore also influencing albumin excretion.[9]
Factors associated with indicators of kidney damage in postmenopausal women
Cardiovascular diseases are the most common causes of death in postmenopausal women with CKD.[10] Perticone et al. demonstrated in Southern-Italian postmenopausal women that impaired renal function, manifested by decreased eGFR, was associated with increased risks of cardiovascular events and mortality.[11] CKD has also been associated with cognitive impairment in menopausal women with coronary artery disease; this impairment manifested in the areas of global cognition, executive function, language, and memory.[12] In perimenopausal women in their fifties, metabolic syndrome has also been associated with CKD.[2] In accordance with these observations, our study revealed that nephrotoxic drug use, history of cardiovascular disease, hyperuricemia, hypertension, and diabetes are all factors associated with CKD in Chinese postmenopausal women. Considering the use of nephrotoxic drug may worsen the renal function in CKD patients;[13] these drugs should be avoided or used with caution in postmenopausal women. It has been reported that the cardiovascular disease is the leading cause of mortality in women with Stage 5 CKD.[14] In addition, a recent study suggests that central obesity, in association with hypertension and diabetes, increases the risk of end-stage renal disease in postmenopausal women.[15] These findings support the view that cardiovascular diseases and impaired renal function may increase the risks of CKD in postmenopausal women. Nevertheless, the underlying mechanism still needs to be further elucidated.
| Conclusion | | |
Our research has demonstrated that the overall adjusted prevalence of CKD among our cohort of Chinese postmenopausal women was 16.6% (95% CI: 15.8–17.4), and it suggests that special attention should be focused onto postmenopausal women with nephrotoxic drug use, history of cardiovascular disease, hyperuricemia, hypertension, and diabetes. Hence, our findings may possibly provide valuable insights for disease prevention and management. However, because we did not measure the levels of gonadal hormones, such as estrogen, ongoing research will be conducted to more precisely explore this association between CKD prevalence and postmenopausal physiology and pathology.
Acknowledgments
This study was supported by the National Key Technology R and D Program of the Ministry of Science and Technology (Grant No. 2011BAI10B01), the National Key Technology R and D Program from the Ministry of Science and Technology (China; Grant No. 2007BAI04B10), Natural Science Foundation of Shandong Province (Grant No. ZR2012HQ001 and ZR2013HM100), and China Postdoctoral Science Foundation (Grant No. 21300073311146).
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
| References | | |
| 1. | Salve H, Mahajan S, Misra P. Prevalence of chronic kidney diseases and its determinants among perimenopausal women in a rural area of North India: A community-based study. Indian J Nephrol 2012;22:438-43.   |
| 2. | Li Y, Zhao L, Chen Y, Liu A, Liu X, Shao X, et al. Association between metabolic syndrome and chronic kidney disease in perimenopausal women. Int J Environ Res Public Health 2013;10:3987-97. |
| 3. | Zhang L, Wang F, Wang L, Wang W, Liu B, Liu J, et al. Prevalence of chronic kidney disease in China: A cross-sectional survey. Lancet 2012;379:815-22. |
| 4. | Knapp ML, Mayne PD. Development of an automated kinetic Jaffé method designed to minimise bilirubin interference in plasma creatinine assays. Clin Chim Acta 1987;168:239-46. |
| 5. | Ma YC, Zuo L, Chen JH, Luo Q, Yu XQ, Li Y, et al. Modified glomerular filtration rate estimating equation for Chinese patients with chronic kidney disease. J Am Soc Nephrol 2006;17:2937-44. |
| 6. | National Kidney Foundation. KDOQI clinical practice guideline for diabetes and CKD: 2012 update. Am J Kidney Dis 2012;60:850-86. |
| 7. | Sjöberg L, Pitkäniemi J, Harjutsalo V, Haapala L, Tiitinen A, Tuomilehto J, et al. Menopause in women with type 1 diabetes. Menopause 2011;18:158-63. |
| 8. | Tsai CF, Wang SJ, Fuh JL. Moderate chronic kidney disease is associated with reduced cognitive performance in midlife women. Kidney Int 2010;78:605-10. |
| 9. | Schopick EL, Fisher ND, Lin J, Forman JP, Curhan GC. Post-menopausal hormone use and albuminuria. Nephrol Dial Transplant 2009;24:3739-44. |
| 10. | Suzuki H, Kondo K. Chronic kidney disease in postmenopausal women. Hypertens Res 2012;35:142-7. |
| 11. | Perticone F, Sciacqua A, Maio R, Perticone M, Laino I, Bruni R, et al. Renal function predicts cardiovascular outcomes in Southern Italian postmenopausal women. Eur J Cardiovasc Prev Rehabil 2009;16:481-6. |
| 12. | Kurella M, Yaffe K, Shlipak MG, Wenger NK, Chertow GM. Chronic kidney disease and cognitive impairment in menopausal women. Am J Kidney Dis 2005;45:66-76. |
| 13. | Ingrasciotta Y, Sultana J, Giorgianni F, Caputi AP, Arcoraci V, Tari DU, et al. The burden of nephrotoxic drug prescriptions in patients with chronic kidney disease: A retrospective population-based study in Southern Italy. PLoS One 2014;9:e89072. |
| 14. | Weisinger JR, Bellorin-Font E. Outcomes associated with hypogonadism in women with chronic kidney disease. Adv Chronic Kidney Dis 2004;11:361-70. |
| 15. | Franceschini N, Gouskova NA, Reiner AP, Bostom A, Howard BV, Pettinger M, et al. Adiposity patterns and the risk for ESRD in postmenopausal women. Clin J Am Soc Nephrol 2015;10:241-50. |
[Table 1], [Table 2], [Table 3]
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