Association between renal function and bone mineral density in healthy postmenopausal Chinese women

Abstract

Background

The relationship between renal function and bone mineral density (BMD) is controversial. The aim of this study was to determine the relationship of renal function with BMD and osteoporosis risk in healthy postmenopausal Chinese women.

Methods

A cross-sectional study was conducted in 776 healthy postmenopausal Chinese women. Dual-energy X-ray absorptiometry was used to measure BMDs. Clinical, demographic, and biochemical data were obtained at the time of image acquisition. Estimated glomerular filtration rate (eGFR) was calculated using a Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation.

Results

Women with eGFR levels of at least 90 ml/min/1.73m² had a lower prevalence of osteoporosis compared with women with decreased eGFR levels (60 ml/min/1.73 m² ≤ eGFR < 90.0 ml/min/1.73 m²). BMDs at femoral neck and total hip were significantly lower in the lower eGFR class than the higher class (0.717 ± 0.106 vs 0.744 ± 0.125 g/cm², P < 0.01; 0.796 ± 0.116 vs 0.823 ± 0.129 g/cm², P < 0.01, respectively). eGFR was positively correlated with BMDs at femoral neck and total hip in unadjusted analysis (P < 0.05). After controlling for age, menopausal duration and body mass index (BMI), decreased eGFR was not associated with osteoporosis risk.

Conclusions

After adjustments for age, menopausal duration and BMI, the decline in renal function was not independently associated with osteoporosis risk in healthy postmenopausal Chinese women.

Background

Renal function declines with age such that close to 95% of women aged ≥75 years have a mild to moderate reduction of renal function [1]. Currently, we are experiencing an unprecedented rise in the number of older adults [2], and consequently, the prevalence of many age-related diseases will increase, including chronic kidney disease (CKD) and osteoporosis [3, 4]. Studies show that patients with renal dysfunction exhibit reduced bone mineral density (BMD) and increased risk of fracture [5–9]. Renal dysfunction influences bone in various ways, such as increasing parathyroid hormone levels, abnormal calcium and phosphate metabolism, and vitamin D deficiency [10, 11]. These effects on mineral homeostasis may be associated with increased bone fragility [12]. However, there are conflicting reports, on whether renal function affects BMD or fracture risk. Elliott et al. [13] showed no association between renal dysfunction and fracture risk. Fujita et al. [14] reported that low renal function is not associated with decreased BMD in community-dwelling elderly men.

Osteoporosis is a serious problem affecting a large number of elderly people. Several studies reported a high prevalence of osteoporosis in postmenopausal women [11, 15, 16]. Due to the increase of proportion of the elderly population, osteoporosis has become a major public health problem around the world [17–19]. It was estimated that the annual number and costs of osteoporotic fractures will reach as high as 5.99 million fractures and $25.43 billion in 2050, respectively [20].

Although other studies have investigated the relationship between renal function and BMD, they are mostly in defined kidney disease [5, 21]. The data about the effect of renal function on BMD and osteoporosis in otherwise healthy Chinese postmenopausal women are scare. Therefore, the aim of the present study was to investigate the relationship of renal function (using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2009 equations to calculate estimated glomerular filtration rate (eGFR)) with BMD and osteoporosis risk in healthy Chinese postmenopausal women.

Methods

Study population

The design and operation of this study have been described [22]. Briefly, a total of 1096 urban postmenopausal Chinese women were recruited at random. Subjects with any pathological disorders (such as diabetes mellitus, hyperthyroidism, oligomenorrhoea, malabsorption, rheumatoid arthritis or hepatic dysfunction) or subjects using medications (such as glucocorticoids, bisphosphonate, oestrogen, thyroid hormones or statins) known to alter bone metabolism were excluded from our study. Of these, 232 subjects had to be excluded. 15 women were excluded due to lacking of time. Fourteen subjects had to be excluded because of impaired renal function (eGFR < 60 ml/min/1.73m²) [23]. After excluding 59 participants with abnormal laboratory test results, 776 qualifying healthy postmenopausal women were selected. All subjects agreed to participate in the study and gave written informed consent. The study was approved by the ethics committee of the Second Xiangya Hospital of Central South University (Changsha, China) and was in compliance with the Helsinki Declaration.

Clinical measurements

Each participant answered a detailed self-report questionnaire that included name, age, menopausal duration, marital status, educational background, smoking or alcohol intake, physical exercise, list of medications and history of fractures, and underwent a clinical examination. Physical exercise was defined as ≥30 min/day. Weight (kg) and height (cm) were measured and BMI (kg/m²) calculated. BMD values were measured by dual-energy X-ray absorptiometry (DXA) fan-beam bone densitometer (Lunar Prodigy Advance, GE Healthcare, Madison, WI, USA) at the total hip, left femoral neck, and lumbar spine (L1–L4). We classified the BMD results as normal BMD: T-score > − 2.5 standard deviation (SD) at lumbar spine, femoral neck and total hip, or osteoporosis: T-score ≤ − 2.5 SD in at least one skeletal site [24, 25].

Blood samples were collected after an overnight fast. Serum calcium (SCa) levels were measured by calcium kit according to the manufacturer’s instructions (MedicalSystem Biotechnology CO., Ltd., Ningbo, China). Serum creatinine (SCr) levels were measured by enzymatic method (Kanto Chemical, Tokyo, Japan). Blood urea nitrogen (BUN) levels were measured by enzymatic method (Abbott, Chicago, USA). eGFRs were estimated using the CKD-EPI 2009 equations [14]. Participants were staged into categories of renal function based on their eGFR alone as follows: (1) normal eGFR (≥ 90.0 ml/min/1.73m²), (2) mild decreased eGFR (60 ml/min/1.73m² ≤ eGFR< 90.0 ml/min/1.73m²) [23].

Statistical analysis

Log transformation was used for BUN, SCr, eGFR, TG, and HDL-C levels when their results were not normally distributed. Data are presented as mean ± SD for continuous variables, median (25, 75) for skewed variables, and percentages for categorical variables. We used the one-way ANOVA test to compare continuous characteristics, and the chi-squared test or Fisher exact test to compare percentages among groups. The correlations between renal function and independent variables were examined by Spearman’s correlation coefficient. Multivariable logistic analyses were performed to evaluate the association between eGFR and the presence of osteoporosis in different models. Two models were applied as unadjusted model and adjusted model which adjusted for age, menopausal duration, and BMI. All data were analyzed using SPSS version 13.0 (SPSS Inc., Chicago, IL, USA). P value less than 0.05 was considered statistically significant.

Results

The characteristics of the study participants are presented in Table 1. A total of 776 relatively healthy postmenopausal Chinese women participated in the present study. The mean age was 62.1 ± 6.1 years. Osteoporosis in at least one site (lumbar spine, femoral neck or total hip) was found in 37.2% of participants. We compared various indices between subjects with and without osteoporosis. As shown in Table 1, participants with normal BMD were younger and had higher BMI and shorter menopausal duration (P < 0.001).

Table 1.

Characteristics of participants according to BMD

Variables	Total (n = 776)	Normal (n = 487)	Osteoporosis (n = 289)	P
Age (years)	62.1 ± 6.1	61.0 ± 5.7	63.9 ± 6.2	< 0.001
Menopausal duration (years)	12.6 ± 7.1	11.1 ± 6.7	14.9 ± 7.3	< 0.001
Height (cm)	153.8 ± 5.1	154.5 ± 5.0	152.7 ± 5.2	< 0.001
Weight (kg)	55.4 ± 7.8	57.0 ± 7.6	52.7 ± 7.4	< 0.001
BMI (kg/cm2)	23.4 ± 3.0	23.9 ± 2.9	22.6 ± 2.9	< 0.001
BUN (mmol/l)	5.3 (4.4, 6.2)	5.3 (4.4, 6.3)	5.2 (4.4, 6.1)	0.455
SCr (μmol/l)	58.3 (49.4, 66.1)	58.7 (50.4, 65.4)	57.7 (47.2, 67.1)	0.316
eGFR (ml/min/ 1.73m2)a	94.7 (85.3, 101.5)	95.4 (86.6, 101.5)	93.5 (82.4, 101.8)	0.216
L1-L4 BMD (g/cm2)	0.933 ± 0.149	1.004 ± 0.121	0.814 ± 0.110	< 0.001
Femoral neck BMD (g/cm2)	0.735 ± 0.119	0.794 ± 0.098	0.634 ± 0.078	< 0.001
Total hip BMD (g/cm2)	0.814 ± 0.125	0.877 ± 0.098	0.707 ± 0.087	< 0.001
TG (mmol/l)	1.4 (1.1, 2.0)	1.5 (1.1, 2.0)	1.4 (1.1, 2.0)	0.342
TC (mmol/l)	5.3 ± 0.9	5.3 ± 0.9	5.3 ± 0.9	0.442
HDL-C (mmol/l)	1.5 (1.3, 1.8)	1.5 (1.3, 1.7)	1.6 (1.4, 1.8)	0.044
LDL-C (mmol/l)	3.1 ± 0.7	3.1 ± 0.7	3.1 ± 0.7	0.444
SCa (mmol/l)	2.4 ± 0.1	2.4 ± 0.1	2.4 ± 0.1	0.140
Cigarette smoking, %	13 (1.7%)	7 (1.4%)	6 (2.1%)	0.567
Alcohol consumption, %	20 (2.6%)	16 (3.3%)	4 (1.4%)	0.106
Physical exercise, %	639 (82.3%)	405 (83.2%)	234 (81.0%)	0.439

Data are expressed as mean ± SD, median (25, 75) or number with percentage (%) in parentheses

BMD bone mineral density, BMI body mass index, BUN blood urea nitrogen, eGFR estimated glomerular filtration rate, HDL-C high-density lipoprotein cholesterol, LDL-C low-density lipoprotein cholesterol, SCa serum calcium, SCr serum creatinine, TC total cholesterol, TG triglyceride

^aeGFR calculated using the CKD Epidemiology Collaboration 2009 equation

The analysis according to renal function (Table 2) showed that participants with eGFR ≥90 ml/min/1.73m² were younger and had shorter menopausal duration (P < 0.001). BMD values at femoral neck and total hip, but not at lumbar spine, were significantly lower in women with declining renal function (P < 0.01). As renal function decreased, the percentage of participants with osteoporosis increased (P < 0.05). As shown in Table 3, eGFR was negatively and significantly correlated with age and menopausal duration (P < 0.01). The levels correlated with femoral neck BMD and total hip BMD (r = 0.086, and r = 0.071, P < 0.05, respectively). SCr levels correlated with age (r = 0.107, P < 0.01), menopausal duration (r = 0.086, P < 0.05), and TC levels (r = 0.074, P < 0.05). BUN was positively correlated with age, menopausal duration (P < 0.01), TC, LDL-C, and SCa levels (P < 0.05). eGFR is computed according to age and SCr concentration. BMD could be influenced by age and menopausal duration. Therefore, we performed subgroup analysis stratified by age and menopausal duration. eGFR did not correlate with BMD at all sites after stratification by age or menopausal duration (Additional file 1: Tables S1 and S2).

Table 2.

Characteristics of participants according to renal function, measured by eGFR

Variables	Category of eGFRa (ml/min/1.73m2)		p-value
	< 90 (n = 273)	≥90 (n = 503)
Age (years)	65.1 ± 6.0	60.4 ± 5.5	< 0.001
Menopausal duration (years)	15.4 ± 7.0	11.0 ± 6.7	< 0.001
Height (cm)	153.8 ± 4.9	153.8 ± 5.3	0.858
Weight (kg)	55.3 ± 7.3	55.5 ± 8.1	0.914
BMI (kg/cm2)	23.4 ± 2.8	23.4 ± 3.1	0.965
BUN (mmol/l)	5.7 (4.8, 6.6)	5.0 (4.2, 5.9)	< 0.001
SCr (μmol/l)	69.1 (65.0, 73.7)	53.3 (44.0, 58.6)	< 0.001
eGFR (ml/min/1.73m2)	80.3 (74.1, 86.2)	99.3 (95.3, 104.9)	< 0.001
L1-L4 BMD (g/cm2)	0.924 ± 0.142	0.938 ± 0.152	0.195
Femoral neck BMD (g/cm2)	0.717 ± 0.106	0.744 ± 0.125	0.004
Total hip BMD (g/cm2)	0.796 ± 0.116	0.823 ± 0.129	0.004
TG (mmol/l)	1.5 (1.1, 2.1)	1.4 (1.1, 2.0)	0.991
TC (mmol/l)	5.4 ± 0.9	5.3 ± 0.9	0.169
HDL-C (mmol/l)	1.5 (1.3, 1.7)	1.6 (1.3, 1.8)	0.350
LDL-C (mmol/l)	3.2 ± 0.7	3.1 ± 0.7	0.287
SCa (mmol/l)	2.4 ± 0.1	2.4 ± 0.1	0.849
Cigarette smoking, %	8 (2.9%)	5 (1.0%)	0.074
Alcohol consumption, %	6 (2.2%)	14 (2.8%)	0.623
Physical exercise, %	231 (84.6%)	408 (81.1%)	0.222
Osteoporosis,%	115 (42.1%)	174 (34.6%)	0.038

Data are expressed as mean ± SD, median (25, 75) or number with percentage (%) in parentheses

BMD bone mineral density, BMI body mass index; BUN, blood urea nitrogen, eGFR estimated glomerular filtration rate, HDL-C high-density lipoprotein cholesterol, LDL-C low-density lipoprotein cholesterol, SCa serum calcium, SCr serum creatinine, TC total cholesterol, TG triglyceride

^aeGFR calculated using the CKD Epidemiology Collaboration 2009 equation

Table 3.

Correlation analysis of renal function indicators and other variables

Variables	eGFRc	BUN	SCr
Age (years)	−0.426a	0.136a	0.107a
Menopausal duration (years)	−0.360a	0.133a	0.086b
BMI (kg/cm2)	−0.012	0.014	0.010
L1-L4 BMD (g/cm2)	0.057	0.014	0.022
Femoral neck BMD (g/cm2)	0.086b	−0.025	0.027
Total hip BMD (g/cm2)	0.071b	−0.022	0.016
TG (mmol/l)	0.018	−0.064	−0.022
TC (mmol/l)	−0.045	0.084b	0.074b
HDL-C (mmol/l)	0.038	0.061	−0.052
LDL-C (mmol/l)	−0.005	0.079b	0.025
SCa (mmol/l)	0.000	0.075b	0.028

BMD bone mineral density, BMI body mass index, BUN blood urea nitrogen, eGFR estimated glomerular filtration rate, HDL-C high-density lipoprotein cholesterol, LDL-C low-density lipoprotein cholesterol, SCa serum calcium, SCr serum creatinine, TC total cholesterol, TG triglyceride

^a P < 0.01

^b P < 0.05

^ceGFR calculated using the CKD Epidemiology Collaboration 2009 equation. r, correlation coefficient

Table 4 shows the results of binary logistic regression analyses using osteoporosis as the dependent variable and eGFR groups as the independent variables. In the unadjusted model, lower eGFR class was associated with an increased risk of osteoporosis as compared to the higher eGFR class (odds ratio (OR): 1.38, 95% confidential interval (CI): 1.02–1.86, P < 0.05). However, after adjustment for age, menopausal duration, and BMI, the lower eGFR class was not related to an increase risk of osteoporosis as compared to the higher eGFR class (OR: 0.94, 95%CI: 0.67–1.33, P > 0.05). Subgroup analysis by age and menopausal duration also showed that the decline in renal function was not associated with osteoporosis risk (Additional file 1: Tables S3 and S4).

Table 4.

Logistic regression of osteoporosis

	Unadjusted			Adjusteda
	P value	OR	95% CI	P value	OR	95% CI
eGFR (ml/min/1.73m2)b
≥90	0.039	1.00 (ref)		0.738	1.00 (ref)
< 90		1.38	1.02–1.86		0.94	0.67–1.33

CI confidence interval, eGFR estimated glomerular filtration rate, OR odds ratio

^aAdjustment for age, menopausal duration and BMI

^beGFR calculated using the CKD Epidemiology Collaboration 2009 equation

Discussion

Several studies have concerned to evaluate the association between renal function and BMD [5–9, 13, 14]. However, the literatures are conflicting, and the relationship between renal function and the risk of osteoporosis in healthy older population is rare. In the current study, we examined the relationship of renal function with BMD and the risk of osteoporosis in 776 relatively healthy postmenopausal Chinese women. Our present study found that participants with worse renal function were associated with lower femoral neck and total hip BMD. However, after adjusting for age, menopausal duration and BMI, the decline in renal function was not associated with increased risk of osteoporosis as compared with normal renal function.

As for the relationship between renal function and BMD in the general population, the results are controversial. Kaji et al. [7] reported a positive relationship between eGFR, calculated using the Modification of Diet in Renal Disease (MDRD) equation for assessing renal function, and BMD in postmenopausal women. Similarly, a retrospective study of 1172 CKD outpatients also described an association between reduced BMD and impaired renal function (using the CKD-EPI equation) [5]. Ensrud et al. [26] suggested that lower eGFR, calculated using CKD-EPI 2012 equation, was associated with increased risk of hip fracture in older community-dwelling men. However, Hsu et al. [27] demonstrated that a decline in renal function was not associated with decreased BMD. Malmgren et al. [28] also showed that the prevalence of osteoporosis did not differ with renal function. In our study, although Spearman’s correlation analysis showed a positive relationship between eGFR and BMD values, this relationship was attenuated after adjustment for potential confounders. We suggest that the discrepancies might be caused by differences in different research population studied, the equations used, skeletal sites observed, and the higher rate of normal population in subjects of the present study. With MDRD equations, the eGFR tends to be underestimated in people with normal renal function [29]. CKD-EPI equations are shown to be more accurate than MDRD equations to assess renal function in older population and healthy individuals [30, 31].

In a study of 1,815,943 participants, the association was negative for eGFR and rates of fracture, but after adjusting for additional demographic variables and comorbidities, the relationship disappeared [13]. Similar to their findings, our study showed that decreased eGFR was associated with reduced BMD; however, after adjustment for age, menopausal duration and BMI, we found no evidence to support the hypothesis that the decline in renal function is independently associated with osteoporosis risk. Why was reduced eGFR not associated with increased osteoporosis risk, in contrast to the excess osteoporosis risk observed in patients with end-stage renal disease (ESRD) [32]? In comparison to earlier study, we focused on relatively healthy postmenopausal Chinese women, so we excluded subjects with impaired renal function (eGFR < 60 ml/min/1.73m²). This may explain in part why our results differ from previous studies [5], which included 415 CKD outpatients with eGFR < 60 ml/min/1.73². In addition, we found that eGFR was associated with age and menopausal duration, both of which are known risk factors for osteoporosis [33, 34]. Thus, we assume that the association between eGFR and BMD can be explained by known confounding factors, such as age and menopausal duration.

Spearman’s correlation analysis of the data showed that SCr was not associated with BMD values. Since SCr levels are affected by muscle mass, it is not accurate for assessing renal function [35, 36]. Similar to our findings, Han et al. [8] did not find association between SCr and BMD.

Our study indicates that there are skeletal-site-specific differences in the relationships between BMD levels and eGFR. However, after stratification by age, eGFR did not correlate with BMD at all sites. Those with eGFR < 90 ml/min/1.73m² were older compared with those with eGFR ≥90 ml/min/1.73m². These findings indicate that the association of lower BMD with lower eGFR was due in large part to age. Several reasons could partly explain the skeletal site-specificity differences. First, the overlying aortic calcifications make it difficult to measure BMD at lumbar spine in the elderly [37]. Besides, present BMD does not reflect present bone metabolism alone, but rather integrates bone metabolism from the past to present. Finally, spine BMD remains approximately stable or increases over time, whereas BMD of the total hip and femoral neck declines at an increasing rate in elderly people [38, 39]. In the present study, we focus on relatively healthy subjects with eGFR ≥60 ml/min/1.73m². Thus, further studies are needed to explore the relationship between reduced renal function and BMD in CKD.

The present study has notable strengths including its relatively large sample size, focus on the healthy postmenopausal Chinese women, where data on this population are rare. No participant had taken a drug known to affect bone metabolism and renal function. Besides, important confounding factors were adjusted in the regression analysis. The present study has several potential limitations. Firstly, due to the observational study design, it is impossible to establish a causal relation between renal function and BMD. A longitudinal follow-up study is necessary to ascertain these relationships. Another limitation, which should be mentioned, is that we excluded subjects with impaired renal function (eGFR < 60 ml/min/1.73m²). Thus, our findings might not be applicable to the entire population of Chinese postmenopausal women. In addition, this study included subjects with CKD stage 2 (defined an eGFR 60–90 ml/min/1.73m²) [23]. Thirdly, the great majority of studies concluded that formulas based on serum cystatin C are superior to SCr-based eGFR [26, 40]. However, Keddis et al. [41] showed that SCr-based CKD-EPI equation was preferred over cystatin C-based eGFR in kidney transplant recipients because they are less biased, more accurate. Moreover, the gold standard for detecting eGFR is inulin clearance, which is rarely done due to issues with inconvenience and time consuming for epidemiologic studies. Finally, urine protein or imaging examination, for example, is lacking for confirming impaired renal function.

Conclusions

In conclusion, our data showed that although participants with declined eGFR have significantly reduced femoral neck and total hip BMD, this association disappeared after adjusting for age, menopausal duration and BMI. Renal function itself is not independently associated with the risk of osteoporosis in relatively healthy postmenopausal Chinese women.

Abbreviations

BMD

Bone mineral density

BMI

Body mass index

BUN

Blood urea nitrogen

CI

Confidential interval

CKD

Chronic kidney disease

CKD-EPI

Chronic Kidney Disease Epidemiology Collaboration

DXA

Dual-energy X-ray absorptiometry

eGFR

Estimated glomerular filtration rate

ESRD

End-stage renal disease

HDL-C

High-density lipoprotein cholesterol

LDL-C

Low-density lipoprotein cholesterol

MDRD

Modification of Diet in Renal Disease

OR

Odds ratio

SCa

Serum calcium

SCr

Serum creatinine

SDs

Standard deviations

TC

Total cholesterol

TG

Triglyceride (TG)

Authors’ contributions

SL and YL were involved in the conception and design of the research. ZS was involved in the acquisition of data. JZ, YW, YW, JH and WH were involved in the statistical analysis. All authors were involved in drafting the manuscript, approving the final draft, and agree to be accountable for the work. All authors read and approved the final manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (Grant no. 81770833) and the Natural Science Foundation of Hunan Province (Grant no. 2018JJ3721). These funders had roles on the data analysis, interpretation and writing the manuscript in this study.

Availability of data and materials

The datasets used and analysed during the current study are available from the corresponding author on reasonable request, once the study has been published.

Ethics approval and consent to participate

All participants gave their written informed consent prior to their participation in our study. The study was carried out in compliance with the Helsinki Declaration II and the Chinese Standards for Good Clinical Practice. The study protocol was approved by the ethics committee of the Second Xiangya Hospital of Central South University (Changsha, China).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12902-019-0476-y.