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Prevalence and Correlates of Adynamic Bone Disease in Patients with Kidney Failure in Singapore

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07 April 2026

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08 April 2026

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Abstract
Background/Objectives: The spectrum of chronic kidney disease-mineral and bone disorder (CKD-MBD) is changing and adynamic bone disease (ABD) is now believed to constitute the majority of CKD-MBD in the developed world. However, its prevalence and risk factors are poorly described in literature. Its diagnosis requires bone biopsy but biochemical criteria including parathyroid hormone (PTH) levels show good correlation. The aim of this study is to understand the prevalence of ABD in our patients with kidney failure (KF) on hemodialysis (HD), identify the risk factors for its development, and in doing so enable early intervention to modify the risk factors specific to our population. Methods: This is a retrospective cross-sectional study. 201 prevalent adult patients on maintenance HD for at least 3 months were recruited. Patients with previous parathyroidectomy were excluded. Relevant data including clinical and biochemical parameters, prescribed dialysate and medications, and clinical outcomes were collected. ABD was diagnosed if any intact PTH (iPTH) level during the study period was <15pmol/L. Results: Of the 201 patients in the study (median age 64.5 years), 35 (17.4%) patients had ABD. In the multivariable logistic regression model, the adjusted odds ratio (OR) of ABD was higher with higher mean adjusted serum calcium level while concurrent use of non-calcium-based binders was associated with lower odds of ABD. Activated vitamin D use was also associated with lower odds of ABD likely reflecting past occurrence of ABD prompting a pre-emptive discontinuation of activated vitamin D. 17% of patients had had fractures without significant association with ABD. The mean PTH level was in the target range (15-60pmol/L) in 41% of the cohort. Cardiovascular complications were not significantly associated with ABD. Conclusions: Approximately one in every six HD patients in our care have ABD as diagnosed by the iPTH level. Targeting a lower serum calcium level and using non-calcium-based binders may reduce the occurrence of ABD and will need to be tested in prospective studies.
Keywords: 
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1. Introduction

The global burden of patients with kidney failure (KF) is steadily increasing [1,2,3], accompanied by changes in patient demographics which is characterized by an ageing population [1] with a longer survival [4] and a higher prevalence of comorbid conditions [5]. Chronic kidney disease-mineral and bone disorder (CKD-MBD) is a common complication of kidney failure. There has been a change observed in the spectrum of CKD-MBD in recent years with an increasing prevalence of adynamic bone disease (ABD) reported in the dialysis population, likely due to advanced age [6], increased prevalence of diabetes mellitus (DM) [7,8] and more intensive treatment of secondary hyperparathyroidism with more vitamin D analogues or calcimimetics being used [9]. ABD prevalence is estimated to be around 10%-50% [10]. However, the literature on ABD and its determinants is sparse. The gold standard for diagnosis of ABD is from bone biopsy. However, biochemical markers such as intact parathyroid hormone (iPTH) and alkaline phosphatase (ALP) levels show good correlation with ABD diagnosed by bone biopsy. iPTH level of < 15pmol/L gives a sensitivity and specificity of 65 and 66% respectively to discriminate low from non-low turnover bone disease [11].
Risk factors of ABD can be broadly divided into over-suppression of the parathyroid glands and PTH resistance. Apart from calcimimetics therapy and total parathyroidectomy, ABD can occur due to over–suppression of parathyroid glands due to increased calcium burden contributed by the use of calcium-based phosphate binders, higher dialysate calcium bath, and use of vitamin D analogues or calcitriol. Resistance to PTH actions on bone is more likely in patients with DM [9,12,13].
The clinical significance of ABD cannot be over emphasised as it can be associated with a significant risk of vascular calcification [6], fractures [14] and all-cause mortality [15]. We aim to estimate the prevalence of ABD in KF and identify the risk factors associated with ABD, so that interventions can be made to mitigate this risk.

2. Materials and Methods

2.1. Study Design

This is a retrospective analytical cross-sectional study. We identified a cohort of 1100 adult patients on maintenance HD on follow up with the Nephrology services in Tan Tock Seng Hospital, Singapore, between January to July 2024.
The required sample size was determined using Cochran’s formula, assuming a 15% prevalence of ABD, 5% precision level, loss due to missing data projected at about 5% and 5% confidence level, which indicated a minimum of 196 participants. 216 patients were selected using simple random sampling method. 201 patients with complete data and meeting the study criteria were included in the study.
This study was approved by the Ethics Review Board (Domain Specific Review Board of National Healthcare Group, Singapore – Ref 2023/00526).

2.2. Inclusion and Exclusion Criteria

We included all patients with KF who had been on maintenance HD for at least 3 months. Patients who had a prior history of parathyroidectomy or incomplete biochemical data were excluded.

2.3. Data Collection

Data was obtained from electronic health records including blood test results from dialysis centers that are part of the electronic health records uploaded during routine clinic consults at the hospital.
Data collected included patients’ demographics including age, gender, etiology of KF, dialysis vintage, history of DM, and biochemical investigations including serial serum levels of adjusted calcium, phosphate, iPTH, ALP, and albumin, treatment related data including dialysate calcium, use of calcium-based and non-calcium-based phosphate binders, calcitriol or vitamin D analogue and calcimimetics and complications like ischemic heart disease (IHD), stroke, peripheral vascular disease (PVD), fracture and mortality.
For each patient, the two most recent measurements of iPTH, and the three most recent values of serum calcium and phosphate, were obtained. The most recent record of prescribed medications was collected to reflect current therapeutic management. In instances where iPTH levels were found to be below 15 pg/mL at any time point, the corresponding serum calcium and phosphate values, as well as the medication regimen, were aligned specifically with the time of iPTH nadir. This adjustment was made to accurately capture clinical context, acknowledging that iPTH over–suppression often prompts modifications in therapy.
The prevalence of ABD was defined by iPTH level of <15pmol/L at any point. We chose to use iPTH <15pmol/L to diagnose ABD instead of using a mean iPTH <15pmol/L as using mean values may underdiagnose ABD and therefore underestimate the prevalence of ABD.
Missing data was imputed using mean substitution. There were two missing values for ALP, which were imputed using this method.

2.4. Statistical Analysis

Data analyses were conducted using Jamovi2.6.44. Mean with standard deviation (SD) was used for continuous data if they were normally distributed or median with interquartile range (IQR) otherwise. We compared the demographic, laboratory and clinical parameters using T test or Mann Whitney U test for continuous variables where appropriate. Chi-square test or Fisher exact test was used for categorical variables where appropriate. ABD was defined as iPTH <15pmol/L at any point in time. To identify the risk factors for ABD, important covariates based on past literature were incorporated in the multivariable logistic regression model. The variance inflation factor (VIF) was calculated to check for multicollinearity in the multivariable regression model. Statistical significance was defined as p value <0.05.

3. Results

Among the 201 patients, 17.4% (N=35) had ABD (Figure 1). The median age of our study population was 64.5 years, 61.2% (N=123) were males and 61.7% (N=124) had KF with DM closely matching the prevalence of DM in the local HD population. The average dialysis vintage was 41 months (IQR 18, 78) (Table 1).
In the univariable analysis, older age and lower serum ALP were both significantly associated with ABD. Use of non–calcium-based phosphate binders, calcitriol, and vitamin D analogues was also associated with lower odds of ABD. (Table 2).
However, we incorporated other important variables like DM, dialysate calcium, and serum calcium into the multivariable model as these factors, based on previous literature, were found to be significantly associated with the risk of ABD. As all patients on calcimimetics in the cohort (N=22) did not meet the criterion for ABD, calcimimetics use was not included in the multivariable model due to lack of convergence. Variables such as gender, dialysis vintage, etiology of KF, serum phosphate, albumin, and use of calcium-based phosphate binders were not incorporated into the multivariable model as they were not significant in the univariate analysis.
In the multivariable logistic regression analysis, calcitriol or vitamin D analogue therapy and use of non–calcium-based phosphate binders decreased the odds of having ABD while elevated serum calcium levels increased the odds of having ABD (Table 3). Specifically, each 0.1 mmol/L increase in serum calcium was associated with 1.68-fold higher odds of ABD (OR=1.68; 95% CI:1.15–2.45; p=0.007). Patients receiving calcitriol or vitamin D analogues had significantly lower odds of ABD (OR=0.20; 95% CI:0.08–0.50; p<0.001). The use of non–calcium-based phosphate binder use was associated with a markedly reduced risk of ABD (OR=0.05; 95% CI:0.00–0.47; p=0.008). The mean VIF was 1.16, suggesting the absence of significant multicollinearity.
We did not find that the presence of ABD was associated significantly with the risk of IHD, PVD, stroke, fracture and mortality (Table 4).

Abbreviations: HD, hemodialysis; ABD, adynamic bone disease

4. Discussion

The prevalence of ABD in our population was 17.4% by using the criteria of serum iPTH level of < 15pmol/L. This varies from that reported in some previous studies, likely due to variations in diagnostic methodology and iPTH cutoff values used to define ABD [13,16]. While bone biopsy remains the gold standard for diagnosing ABD and has been associated with higher reported prevalence rates [13], its use is limited in routine clinical practice due to the limited availability of experienced operators and interpreters, as well as the procedure’s cost, invasiveness, and potential to cause pain [17]. Other studies have relied on biochemical markers, including iPTH levels [16], but have applied different threshold values for defining ABD, contributing to the difference in prevalence across studies. As the iPTH data were obtained from different laboratories, variations in assay methods may have introduced inter-laboratory variability and potential measurement bias.
We found that high serum calcium was associated with higher odds of developing ABD and the use of non-calcium-based phosphate binders was associated with lower odds of ABD. These findings are consistent with the current standard of care and the KDIGO 2017 CKD-MBD guidelines which is to avoid hypercalcemia and restrict the dose of calcium-based binders. Use of calcitriol and vitamin D analogues was also associated with lower odds of ABD (OR=0.20; 95% CI:0.08-0.50; p<0.001), which could reflect proactive discontinuation of vitamin D when iPTH levels were down trending. The use of dialysate with1.5mmol/L of calcium and the use of calcium-based phosphate binders were not found to be significantly associated with the risk of ABD, which could also reflect a proactive approach of reducing calcium exposure when iPTH is down trending. However, we did not find that the risk of cardiovascular complications or fractures was higher in ABD. This could be explained by the small number of events and being a cross-sectional study with no longitudinal follow up, the complications may have happened after the development of ABD.
This study has several strengths, including the inclusion of a sufficiently large sample size and minimal missing data, which enhance the reliability of the findings. To our knowledge, this is the first study in Singapore and in Asian populations to examine the correlation between ABD and its clinical and biochemical parameters, thereby increasing the relevance and generalizability of the findings to similar regional populations. Moreover, the identification of variables associated with the development of ABD offers valuable evidence that may inform targeted mitigation strategies. However, there are notable limitations. Being a single-centre study, this may limit the external validity of the results. The diagnosis of ABD was based on serum iPTH levels rather than definitive bone biopsy, which remains the gold standard. Furthermore, bone-specific ALP and activated vitamin D levels were not measured, potentially limiting the assessment of bone turnover. The cross-sectional design also introduces temporal ambiguity, preventing causal inferences, and we are limited by the use of retrospective medical records. Finally, the study design does not allow for the evaluation of therapeutic interventions that may influence bone turnover dynamics.

5. Conclusions

Approximately one in every six HD patients in our care has ABD as defined by iPTH < 15pmol/L. Targeting a lower serum calcium level and preferential use of non-calcium-based phosphate binders may reduce the occurrence of ABD. Prospective studies are needed to determine the optimal target serum calcium levels in patients with KF on HD, and to guide the clinical use of phosphate binders, activated vitamin D, calcimimetics, and dialysate calcium concentrations.

Author Contributions

Conceptualization was performed by M.B. Material preparation and data collection were carried out by S.K.S., E.Y.Q.W., Y.K.T., F.C., R.S.L., and M.B. Formal analysis was conducted by M.B. and R.S.L. The first draft of the manuscript was written by R.S.L. and S.K.S., and all authors contributed to reviewing and editing previous versions of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was approved by the Ethics Review Board (Domain Specific Review Board of National Healthcare Group, Singapore – Ref 2023/00526).

Data Availability Statement

The datasets generated and/or analyzed during the current study are not publicly accessible due to privacy and confidentiality considerations. However, anonymized data may be made available by the corresponding author (M.B.) upon reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Prevalence of adynamic bone disease in our study. 
Figure 1. Prevalence of adynamic bone disease in our study. 
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Table 1. Baseline demographic and laboratory data – Adynamic bone disease vs no adynamic bone disease. 
Table 1. Baseline demographic and laboratory data – Adynamic bone disease vs no adynamic bone disease. 
Variables Overall
(N=201)
Adynamic bone disease
(N = 35)
No adynamic bone disease
(N = 166)
Age, mean (SD), years 64.50 (12.50) 68.70 (12.50) 63.60 (12.40)
Gender, N (%)
Male 123.00 (61.20) 21.00 (60.00) 102.00 (61.40)
Female 78.00 (38.80) 14.00 (40.00) 64.00 (38.60)
Dialysis vintage, median (IQR), months 54.00 (30, 80) 41.00 (18, 78) 56.00 (31, 90)
Etiology of kidney failure, N (%)
Diabetes mellitus 124.00 (61.70) 25.00 (71.40) 99.00 (59.60)
Hypertension 34.00 (16.90) 5.00 (14.30) 29.00 (17.50)
Chronic glomerulonephritis 35.00 (17.40) 3.00 (8.60) 32.00 (19.30)
Others 8.00 (4.00) 2.00 (5.70) 6.00 (3.60)
Diabetes mellitus, N (%)
Yes 144.00 (71.60) 29.00 (82.90) 115.00 (69.30)
No 57.00 (28.40) 6.00 (17.10) 51.00 (30.70)
Dialysate calcium, N (%), mmol/L
Normal (1.5) 111.00 (55.20) 22.00 (62.90) 89.00 (53.60)
Low (1.25) 90.00 (44.80) 13.00 (37.10) 77.00 (46.40)
Serum calcium, mean (SD), mmol/L 2.27 (0.14) 2.30 (0.13) 2.27 (0.14)
Serum phosphate, mean (SD), mmol/L 1.56 (0.42) 1.47 (0.37) 1.57 (0.43)
Serum alkaline phosphatase, mean (SD), U/L 143.73 (159.33) 100.90 (113.91) 152.76 (166.22)
Serum albumin, mean (SD), g/L 39.25 (4.60) 38.91 (5.08) 39.32 (4.50)
Calcium-based phosphate binder use, N (%)
Yes 160.00 (79.6) 30.00 (85.70) 130.00 (78.30)
No 41.00 (20.4) 5.00 (14.30) 36.00 (21.70)
Non-calcium-based phosphate binder use, N (%)
Yes 50.00 (24.9) 1.00 (2.90) 49.00 (29.50)
No 151.00 (75.1) 34.00 (97.10) 117.00 (70.50)
Calcitriol or vitamin D analogue use, N (%)
Yes 119.00 (59.2) 10.00 (28.60) 109.00 (65.70)
No 82.00 (40.8) 25.00 (71.40) 57.00 (34.30)
Calcimimetic use, N (%)
Yes 22.00 (11.00) 0 (0) 22.00 (13.30)
No 179.00 (89.00) 35.00 (100.00) 144.00 (86.70)
Data are N (%) for categorical variables, mean [SD] for normally distributed continuous variables and median [IQR] for non-normally distributed continuous variables. Abbreviations: SD, standard deviation; IQR, interquartile range.
Table 2. Univariable logistic regression. 
Table 2. Univariable logistic regression. 
Variables Univariable model
Crude OR (95% CI) p value*
Age 1.04 (1.01-1.07) 0.03
Gender
Male 0.94 (0.45-1.98) 0.87
Female Reference
Etiology of kidney failure
Diabetes mellitus Reference
Hypertension 0.68 (0.24-1.94) 0.47
Chronic glomerulonephritis 0.37 (0.11-1.31) 0.12
Others 1.32 (0.25-6.94) 0.74
Dialysis vintage 1.00 (0.99-1.01) 0.55
Diabetes mellitus
Yes 2.14 (0.84-5.48) 0.11
No Reference
Dialysate calcium, mmol/L
Normal (1.5) Reference
Low (1.25) 0.68 (0.32-1.45) 0.32
Serum calcium, in 0.1mmol/L 1.21 (0.93-1.57) 0.16
Serum phosphate, mmol/L) 0.54 (0.21-1.37) 0.19
Serum alkaline phosphatase, U/L 0.99 (0.98-1.00) 0.038
Serum albumin, g/L 0.98 (0.91-1.06) 0.64
Calcium-based phosphate binder use
Yes 1.66 (0.60-4.59) 0.34
No Reference
Non-calcium-based phosphate binder use
Yes 0.07 (0.00-0.52) 0.01
No Reference
Calcitriol or vitamin D analogue use
Yes 0.21 (0.09-0.47) <0.001
No Reference
* Bolded values indicate statistical significance of p < 0.05. Abbreviations: OR, odds ratio; CI, confidence interval.
Table 3. Multivariable logistic regression. 
Table 3. Multivariable logistic regression. 
Variables Multivariable model
Adjusted OR (95% CI) p value*
Age 1.02 (0.99-1.06) 0.22
Diabetes mellitus
Yes 2.32 (0.80-6.69) 0.12
No Reference
Dialysate calcium, mmol/L
Normal (1.5) Reference
Low (1.25) 0.55 (0.23-1.33) 0.18
Serum calcium, in 0.1mmol/L 1.68 (1.15-2.45) 0.007
Serum alkaline phosphatase, U/L 1.00 (0.99-1.00) 0.40
Non-calcium-based phosphate binder use
Yes 0.05 (0.00-0.47) 0.008
No Reference
Calcitriol or vitamin D analogue use
Yes 0.20 (0.08-0.50) <0.001
No Reference
* Bolded values indicate statistical significance of p < 0.05. Abbreviations: OR, odds ratio; CI, confidence interval.
Table 4. Comparison of complications between patients with and without adynamic bone disease. 
Table 4. Comparison of complications between patients with and without adynamic bone disease. 
Complications Adynamic bone disease
(N = 35)
No adynamic bone disease
(N = 166)
p value
Ischemic heart disease, N (%)
Yes 21.00 (60.00) 77.00 (46.39) 0.143
No 14.00 (40.00) 89.00 (53.61)
Peripheral vascular disease, N (%)
Yes 5.00 (14.29) 29.00 (17.47) 0.648
No 30.00 (85.71) 137.00 (82.53)
Stroke, N (%)
Yes 6.00 (17.14) 29.00 (17.47) 0.963
No 29.00 (82.86) 137.00 (82.53)
Fracture, N (%)
Yes 4.00 (11.43) 30.00 (18.07) 0.341
No 31.00 (88.57) 136.00 (81.93)
Mortality , N (%)
Yes 3.00 (8.57) 10.00 (6.02) 0.578
No 32.00 (91.43) 156.00 (93.98)
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