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Original Article
ARTICLE IN PRESS
doi:
10.25259/IJN_110_2026

Effect of Cholecalciferol Supplementation on CVD, Inflammation, and Bone Metabolism Markers in CKD: A Randomized Double Blind Placebo Controlled Feasibility Trial

Department of Nephrologhy, Postgraduate Institute of Medical Education and Research, Chandigarh, India
Department of Pharmacology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
Department of Experimental Medicine and Biotechnology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
George Institute for Global Health, New Delhi, India
School of Public Health, Imperial College, London, UK
Manipal Academy of Higher Education, Manipal, India

Corresponding author: Dr Vivek Kumar, Additional Professor, Department of Nephrology, Postgraduate Institute of Medical Education and Research, Chandigarh, India. Email: enigma165@yahoo.co.in

Dr Ashok Kumar Yadav, Additional Professor, Department of Experimental Medicine and Biotechnology, Postgraduate Institute of Medical Education and Research, Chandigarh, India. Email: mails2ashok@gmail.com

Licence
This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

Abstract

Background

Vitamin D deficiency is common in CKD and associated with cardiovascular disease (CVD) and bone mineral metabolism. The long-term impact of cholecalciferol supplementation on CVD is unknown. We tested the effects of cholecalciferol supplementation on CVD outcomes [major adverse cardiovascular events (MACE)], progression of CKD, and markers of bone mineral metabolism and inflammation in patients with pre-dialysis CKD.

Materials and Methods

The study was a single-center, prospective, randomized, placebo-controlled, double blind clinical trial. Patients with CKD, between 18-75 years, estimated glomerular filtration rate 10-45 mL/min/1.73m2, serum 25(OH)D levels 20-50 ng/mL were enrolled. Participants received either cholecalciferol 60000 IU once/2 weeks or a matching placebo and followed up at every 3 months till 36 months after enrolment. All clinical, demographic, and biomarker characteristics were analyzed at baseline and at annual follow-up.

Results

692 participants were screened, of which 126 were enrolled. However, 37 participants dropped before randomization. 89 participants were randomized: 46 to the cholecalciferol group and 43 to the placebo group. Both groups were similar with respect to MACE events, need for renal replacement therapy, and all-cause mortality. Over one year, serum 25(OH)D increased in the cholecalciferol group [Mean diff between groups: 31.89, 95% CI: 20.46 to 43.32, p <0.001]. Serum calcium increased, whereas C-reactive protein and bone-specific alkaline phosphatase levels decreased in the cholecalciferol group.

Conclusions

In this feasibility phase of a randomized double-blind clinical trial, Cholecalciferol treatment was safe and effective in modulating surrogate markers of inflammation and bone metabolism, but its effect on CVD outcome or progression of CKD in vitamin D-insufficient patients with stage G3-G4 CKD remains uncertain.

Keywords

Biomarkers
Cholecalciferol
CKD
CVD
Inflammation
Vitamin D deficiency

Introduction

Vitamin D deficiency has been linked with cardiovascular disease (CVD) and mortality in both the general population and in individuals with CKD. The impact of vitamin D supplementation on surrogate endpoints for CVD in pre-dialysis CKD has been investigated in several recent randomized controlled trials (RCTs).1-7 Overall, the findings from these clinical trials suggest that vitamin D supplementation favorably modifies endothelial and vascular function in CKD.3,8 Additionally, vitamin D is effective in decreasing the circulating interleukin-6 (IL-6), serum C-terminal cross-linked collagen type I telopeptides (CTX-1), serum total and bone-specific alkaline phosphatase (SAP, BAP).8 KDIGO has recommended BAP as a bone biomarker for the diagnosis and management of renal osteodystrophy.9 Also, it has been shown to be an effective indicator for distinguishing low bone turnover.10

In CKD, the impact of native vitamin D forms (cholecalciferol) might be mediated through conversion to 1,25(OH)2D, but limited data suggest that different effector mechanisms might be present that can be inferred from our work, suggesting opposing effects on fibroblast growth factor 23 (FGF-23) when compared to calcitriol.11 The native forms might be important for paracrine and autocrine effects, and higher circulating levels might be required for extra-skeletal effects, including favorable modulation of vascular function and inflammatory state.12 These data suggest that cholecalciferol supplementation targeted to higher circulating vitamin D levels would be the most appropriate intervention when extraskeletal effects, like modulation of vascular function, are the primary endpoint of a clinical trial. In this feasibility study, we evaluated the effect of cholecalciferol supplementation on CVD, inflammation, and bone metabolism markers in CKD in a randomized double-blind placebo-controlled trial.

Materials and Methods

The study was a feasibility phase clinical trial conducted at the Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India. It was a prospective, randomized, placebo-controlled, double blind clinical trial. The study was approved by the Institute Ethics Committee of PGIMER, Chandigarh (No. PGI/IEC/2019/000042 dated: 07- 01- 2019) and registered at the Clinical Trials Registry of India (www.ctri.nic.in, CTRI/2019/05/019211, dated 20-05-2019).

Adult patients (≥18 years) with pre-dialysis CKD attending the Department of Nephrology outpatient clinic were screened. Inclusion criteria were ages between 18–75 years, estimated glomerular filtration rate (eGFR) ranging from 10 to 45 mL/min/1.73m2 by the CKD-EPIcr equation 2009, serum 25(OH)D levels 20-50 ng/mL, and a clinically stable course for the last 3 months. Patients receiving long-term maintenance dialysis or immunosuppressive therapy, diagnosis of chronic liver disease, primary hyperparathyroidism, sarcoidosis, malignancy, history of having been treated for hypercalcemia due to any cause, anticipated need of long-term kidney replacement therapy within 6 months, poor functional status, life expectancy <1 year, pregnancy in case of females, blood hemoglobin <8 g/dL, serum calcium >9.5 mg/dL, history of having received any type of organ transplant, history of allergy to the interventional drug (cholecalciferol), having received vitamin D supplementation in last 30 days or participation in another interventional clinical trial, were excluded. Patients were enrolled after obtaining informed consent.

The study population included patients with mild to moderately advanced CKD at high risk of the development of CVD. As fatal and non-fatal MACE is the primary outcome parameter of our proposed study, the selection of patients with CKD and eGFR 10-45 mL/min/1.73m2 will ensure inclusion of patients who are at high risk and at least 10% event rate for the primary outcome parameter by 3 years of follow-up in the control group that receives placebos. Including patients with circulating 25(OH)D levels between 20-50 ng/mL will ensure that patients with true vitamin D deficiency would be excluded, which would take care of ethical concerns, as we would not be putting patients with documented true deficiency under the placebo arm and also not subjecting those with higher levels to the risk of hypervitaminosis. We expect the levels to rise by 10-20 ng/mL, which would maintain levels of 70 ng/mL even in those with baseline levels around 50 ng/mL.

Enrolment, randomization, intervention and Follow-up

Participants were randomized in a 1:1 ratio after a 2-week run-in phase. An adaptive allocation algorithm based on OxMaR13 was used to minimize imbalance across treatment groups in the stage of CKD and the presence of diabetes. The treatment boxes were neutrally coded and centrally masked. The boxes were identical, sequentially numbered, sealed, and traceable. The allocation sequence was concealed from participants, investigators, and outcome assessors. Participants received either cholecalciferol 60000 IU once every 2 weeks or a matching placebo. We used these doses as the participants were not vitamin D deficient.

Follow-up visits were scheduled every 3 months till 36 months after enrolment. Serum levels of 25(OH)D, calcium, and intact parathyroid hormone (iPTH) were assessed at every scheduled follow-up visit. The cholecalciferol/placebo intervention was discontinued at follow-up if serum 25(OH)D was >70 ng/mL or serum calcium was >10 mg/dL. It was restarted on subsequent follow-up visit when serum 25(OH)D levels were ∼50 ng/mL and serum calcium was ∼9.5 mg/dL. 10 mL each of fasting blood and second morning urine samples were collected and stored at -80°C at baseline and annually thereafter for measurement of biomarkers. Treatment of secondary hyperparathyroidism and/or vitamin D deficiency was allowed with the use of activated forms of vitamin D as felt necessary by the treating physician.

Study outcomes

Primary outcome measures were a composite of major adverse cardiac events (MACE) that included new onset heart failure, CAD, PVD, cerebrovascular accident (transient ischemic attack or stroke), any coronary or peripheral arterial revascularization procedure, and death due to CVD. Secondary outcomes were: all-cause mortality, need for renal replacement therapy (RRT), change in high-sensitivity C-reactive protein (hsCRP), IL-6, iPTH, fibroblast growth factor-23 (FGF-23), BAP, and CTX-1.

Measurements

All measurements were done in fasting blood samples. Serum levels of 25(OH)D and iPTH were analyzed using Cobas® 8000 modular analyzer (Roche Diagnostics, Mannheim, Germany). Serum IL-6 (Quantikine soild phase sandwich ELISA; R&D Systems®, Minneapolis, MN, USA), serum hs-CRP (Calbiotech Inc., CA, USA), human plasma FGF-23 (Immutopics, Inc., Athens, Ohio), serum BAP (MicroVue™ BAP EIA; Quidel Corporation San Diego, CA, USA), serum CTX-1 [Serum Crosslaps® (CTX-1) ELISA; IDS, Boldon, UK] were measured in stored samples at baseline and 12 months follow up.

Statistical analysis

No formal sample size calculation was conducted for the feasibility phase of the study. We planned to enroll at least 125 participants. All participants with non-missing outcome data were included in the analysis. Descriptive statistics were used to characterize the study participants. Categorical data were presented as frequencies, and continuous variables were presented as mean ± SD or median (IQ range) as appropriate. Continuous variables were compared by an independent sample t test if normally distributed, or a Mann-Whitney U test if distributions were skewed. Categorical variables were analyzed by the chi-squared test or the Fisher’s exact test as appropriate. Hemoglobin, calcium, phosphorus, creatinine, eGFR, alkaline phosphatase, and other biomarker measurements were reported and compared between groups at baseline and 12 months. Other outcome data were reported descriptively for the study duration completed by participants.

Results

A total of 692 patients were screened between August 2019 and October 2021, out of which 126 were enrolled. 37 enrolled participants dropped out before randomization, and 89 participants were randomized till end of October 2021 [Figure 1]. The following data analysis pertains to baseline measurements from 89 participants and follow-up comparative measurements from 80 participants who completed 1 year of follow-up.

CONSORT flow diagram of the study.
Figure 1: CONSORT flow diagram of the study.

A total of 89 participants were randomized,46 in the cholecalciferol group and 43 in the placebo group. Table 1 shows the baseline characteristics of the study population. The mean age of the overall participants was 50.84 ± 12.68 years, with 38% being female. At baseline, both groups were similar with respect to demographic characteristics, distribution of CKD causes, risk factors, presence of CVD, and medication use. Similarly, there were no significant differences between the two groups in baseline biochemical and biomarker measurements [Table 2].

Table 1: Baseline characteristics of study population.
Characteristic or parameter Cholecalciferol group (n = 46) Placebo group (n = 43)
Male 30 (65.2) 24 (55.8)
Female 16 (34.8) 19 (44.2)
Age (years) 50.4 ± 12.4 50.74 ±12.73
BMI (kg/m2) 24.4 ± 5.6 26.5 ± 4.6
Waist/Hip ratio 0.9 (0.9, 1.0) 0.9 (0.9, 1.0)
SBP (mmHg) 144.0 ± 22.9 135.7 ± 22.6
DBP (mmHg) 89 ± 12.2 83.7 ± 15.5
Duration of kidney disease (months) 44 (22, 80) 60 (30.8, 87.8)
Cause of CKD
 Diabetic kidney disease 8 (17.4) 6 (14)
 Chronic interstitial nephritis 16 (34.8) 12 (27.9)
 CAKUT 1 (2.2) 1 (2.3)
 Unknown kidney disease 12 (26.1) 15 (34.9)
 PKD 4 (8.7) 2 (4.7)
 Biopsy-proven GN 1 (2.2) 3 (7)
 Other kidney diseases 4 (8.7) 4 (9.3)
Presence/history of
 Hypertension 43 (93.5) 36 (83.7)
 Diabetes mellitus 12 (23.9) 10 (23.3)
 Renal stone disease 11 (23.9) 4 (9.3)
 CAD 2 (4.3) 4 (9.3)
 PVD 0 1 (2.3)
 CVA 0 0
 Any other form of atherosclerotic vascular disease 0 0
 Coronary angiography 3 (6.5) 4 (9.3)
 Heart failure 0 1 (2.3)
Medications use
 ACE inhibitor/ARB 15 (32.6) 18 (41.9)
 Statin 23 (50) 30 (69.8)
 Beta blocker 21 (45.7) 24 (55.8)
 SGLT-2 inhibitor 40 (87) 37 (86)
 Nitrates 1 (2.2) 1 (2.3)
 Hypouricemic drugs 6 (13) 8 (18.6)
 Bicarbonates 37 (80.4) 31 (72.1)
 Erythropoietin 3 (6.5) 4 (9.3)
 Antiplatelet (Aspirin/Clopidogrel) 7 (15.2) 8 (18.6)

Data presented as mean ± standard deviation, median (25th-75th percentile) or frequency (percentage) as appropriate. ACE: Angiotensin-converting enzyme, ARB: Angiotensin II receptor blocker, BMI: Body mass index, CAD: Coronary artery disease, CAKUT: Congenital anomalies of kidney and urinary tract, CKD: Chronic kidney disease, CVA: Cerebrovascular accident, DBP: Diastolic blood pressure, GN: Glomerulonephritis, PKD: Polycystic kidney disease, PVD: Peripheral vascular disease, SBP: Systolic blood pressure, SGLT-2: Sodium-glucose cotransporter-2.

Table 2: Baseline investigations and biomarkers in the study population.
Characteristic or parameter Cholecalciferol group (n = 46) Placebo group (n = 43)
Hemoglobin (g/dL) 11.52 ± 1.96 11.87 ± 1.64
Serum creatinine (mg/dL) 2.97 ± 1.11 2.66 ± 1.18
eGFR (CKD-EPICr 2009) 22.58 (15.51, 33.58) 29.56 (18.89, 36.62)
Blood urea (mg/dL) 76.00 (49.53, 103.10) 63.00 (51.20, 95.10)
Serum calcium (mg/dL) 9.20 (8.69, 9.37) 9.23 (8.95, 9.45)
Serum inorganic phosphorous (mg/dL) 3.77 (3.16, 4.09) 3.83 (3.20, 4.22)
Serum uric acid (mg/dL) 7.10 (6.15, 8.30) 7.20 (5.80, 8.95)
Serum alkaline phosphatase (U/L) 92 (77, 116) 101 (83, 116)
Serum total cholesterol (mg/dL) 149 (120,165) 140 (119,159)
Serum triglycerides (mg/dL) 136 (104, 169) 126 (98, 171)
Serum LDL-C (mg/dL) 83 (62, 105) 75 (56, 97)
Serum HDL-C (mg/dL) 43 (37, 52) 42 (37, 51)
Serum iPTH (pg/mL) 192 (125, 322) 167 (81, 317)
Serum 25(OH)D (ng/mL) 29 (24, 40) 28 (23, 38)
Spot urine protein/creatinine ratio (mg/g) 739 (303, 2142) 1012 (302, 1679)
Serum BAP (U/L) 28 (21, 37) 29 (24, 43)
Serum intact FGF-23 (pg/mL) 131 (30, 143) 131 (35, 144)
Serum CRP (ng/mL) 4.06 (1.94, 7.26) 2.20 (1.22, 6.80)
Serum IL-6 (pg/mL) 5.40 (3.50, 10.40) 4.88 (2.47, 10.57)
Serum CTX (ng/mL) 1.41 (0.81, 2.14) 1.52 (0.84, 2.07)

Data presented as mean ± standard deviation or median (25th-75th percentile) as appropriate. 25(OH)D: 25-hydroxyvitamin D3, BAP: Bone alkaline phosphatase, CRP: C-reactive protein, CTX: Carboxy terminal telopeptide, eGFR: Estimated glomerular filtration rate, FGF-23: Fibroblast growth factor-23, HDL-C: High density lipoprotein cholesterol, iPTH: intact parathyroid hormone, IL-6: Interleukin-6, LDL-C: Low density lipoprotein cholesterol.

Outcome parameters

As shown in Table 3, no significant difference in the primary outcome (MACE) was observed between the two groups. A total of 23 adverse events were recorded in the cholecalciferol group, and 31 adverse events were recorded in the placebo group. Out of which 9 and 10 participants reported serious adverse events in the cholecalciferol and placebo group, respectively. One participant in the placebo group was reported for CVA. Seven participants in the cholecalciferol group reached end-stage renal disease (ESRD) or required renal replacement therapy (RRT), while eleven participants in the placebo group reached ESRD. In addition, four deaths were recorded in each group. These were reported to the Clinical Trials Data Safety Board at PGIMER and were finally concluded to be unrelated to the study intervention.

Table 3: Outcome parameters in the study population till the last follow-up visit.
Parameter Cholecalciferol (n = 46) Placebo (n = 43)
Duration of follow-up (months) 27 (15, 36) 30 (21, 36)
Number of total adverse event records 23 31
Total number of patients who experienced at least one adverse event 15 17
Serious Adverse Events 9 10
Number of patients who experienced SAE at least once 7 9
Total number of hospitalizations 9 10
Total number of patients who experienced at least one hospitalization 7 9
MACE
New onset of heart failure 0 0
CAD 0 0
PVD 0 0
CVA 0 1
Any coronary or peripheral arterial revascularization procedure 0 0
Death due to CVD 0 0
Need for RRT 7 11
Time to start of RRT (months) 16 (11, 27) 19 (11, 24)
Composite of 40% decline in GFR or need for RRT 17 18
Overall Mortality 4 4
Composite of all-cause death and non-fatal MACE 4 5

Data presented as a number or median (25th-75th percentile) as appropriate

CAD: Coronary artery disease, CVA: Cerebrovascular accident, CVD: Cardiovascular disease, MACE: Major adverse cardiovascular event, GFR: Glomerular filtration rate, PVD: Peripheral vascular disease, RRT: Renal replacement therapy, SAE: Serious adverse events

Biochemical and biomarkers at follow-up

The biochemical and biomarker characteristics of these participants were compared at the annual follow-up visit [Figure 2]. Table 4 shows the within-group and between-group differences with respect to biochemical and biomarker characteristics.

Individual levels of biomarkers at baseline and 12-month follow-up. IL-6: Interleukin-6, FGF-23: Fibroblast growth factor-23, CRP: C-reactive protein, CTX: Carboxy terminal telopeptide, BAP: Bone alkaline phosphatase, iPTH: intact parathyroid hormone.
Figure 2: Individual levels of biomarkers at baseline and 12-month follow-up. IL-6: Interleukin-6, FGF-23: Fibroblast growth factor-23, CRP: C-reactive protein, CTX: Carboxy terminal telopeptide, BAP: Bone alkaline phosphatase, iPTH: intact parathyroid hormone.
Table 4: Within-group and between-group differences in biochemical and biomarker measurements at 12 months in the study population who completed at least one year of follow-up.
Parameters Cholecalciferol (n=Mean difference (95%CI) p value N (number of patients) Placebo Mean difference (95% CI) p value N (number of patients) Between-group difference p value
Serum 25(OH)D (ng/mL) 31.15 (21.37 to 40.9S2) <0.001 31 -0.75 (-7.43 to 5.94) 0.510 34 31.89 (20.46 to 43.32) <0.001
Serum iPTH (pg/mL) 35.51 (-24.19 to 95.94) 0.329 30 58.39 (-17.92 to 134.69) 0.081 33 -22.87 (-119.56 to 73.81) 0.660
Hemoglobin (g/dL) -0.21 (-0.89 to 0.48) 0.642 34 -0.37 (-0.75 to 0.020) 0.07 35 0.160 (-0.61 to 0.93) 0.442
Serum Cr (mg/dL) 0.46 (0.12 to 0.81) 0.029 34 0.44 (0.071 to 0.81) 0.010 35 0.022 (-0.47 to 0.52) 0.871
eGFR (CKD-EPIcr) -1.72 (-3.80 to 0.37) 0.07 34 -2.54 (-4.71 to -0.38) 0.021 35 0.82 (-2.13 to 3.78) 0.848
Serum calcium (mg/dL) 0.07 (-0.14 to 0.29) 0.817 34 -0.49 (-0.82 to -0.15) 0.001 33 0.56 (0.17 to 0.95) 0.024
Serum inorganic phosphorous (mg/dL) 0.80 (0.006 to 1.59) 0.010 34 0.29 (-0.088 to 0.658) 0.238 33 0.517 (-0.35 to 1.39) 0.270
Serum alkaline phosphatase (U/L) 8.26 (-12.11 to 28.62) 0.648 27 15.28 (1.19 to 29.37) 0.023 25 -7.02 (-31.56 to 17.52) 0.197
UPCR (mg/g) 215.11 (-878.61 to 1308.83 0.690 28 -49.12 (-523.19 to 425.67) 0.264 25 264.23 (-950.39 to 1478.85) 0.664
Serum IL-6 (pg/mL) -0.244 (-22.75 to 22.26) 0.694 35 -4.56 (-14.69 to 5.57) 0.081 39 4.315 (-19.08 to 27.72) 0.221
Serum intact FGF-23 (pg/mL) 101.74 (21.72 to 181.76) 0.001 35 82.08 (15.74 to 148.43) 0.015 39 19.66 (-81.75 to 121.06) 0.335
Serum CRP (ng/mL) -0.105 (-1.65 to 1.44) 0.909 35 1.86 (0.51 to 3.23) 0.004 39 -1.97 (-3.99 to 0.04) 0.042
Serum CTX (ng/mL) -0.395 (-0.68 to -0.112) 0.020 35 -0.185 (-0.53 to 0.16) 0.288 39 -0.215 (-0.655 to 0.23) 0.452
Serum BAP (U/L) -4.61 (-9.90 to 0.68) 0.074 35 0.471 (-5.25 to 6.20) 0.085 39 -5.08 (-12.80 to 2.64) 0.019

Data presented as mean difference (95% confidence interval). 25(OH)D: 25-hydroxyvitamin D3, BAP: Bone alkaline phosphatase, CRP: C-reactive protein, CTX: Carboxy terminal telopeptide, eGFR: Estimated glomerular filtration rate, FGF-23: Fibroblast growth factor-23, iPTH: Intact parathyroid hormone, IL-6: Interleukin-6, UPCR: Urine protein creatinine ratio

Cholecalciferol group

Serum 25(OH)D and inorganic phosphorus (Pi) levels significantly increased at annual follow-up in the cholecalciferol group [25 (OH) vitamin D, mean diff: 31.15 (95% CI: 21.37 to 40.92), p <0.001; Pi, mean diff: 0.80 (95% CI: 0.006 to 1.59), p = 0.010] [Table 4]. Serum iFGF-23 significantly increased in the cholecalciferol group [Mean diff: 101.74 (95% CI: 21.72 to 181.76), p = 0.001]. Serum CTX levels significantly decreased in the cholecalciferol group [Mean diff: -0.395 (95% CI: -0.68 to -0.112), p = 0.020] at 12 months follow-up.

Placebo group

eGFR levels significantly decreased in the placebo group [Mean diff: -0.254 (95% CI: -4.71 to -0.38), p = 0.021] while there was no between-group difference. Serum calcium levels significantly decreased at follow-up [mean diff: -0.49 (95% CI: -0.82 to -0.15), p = 0.001]. FGF-23 also increased significantly in the placebo group [Mean diff: 82.08 (95% CI: 15.74 to 148.43), p = 0.015]. Serum CRP levels significantly increased in the placebo group [Mean diff: 1.86 (95% CI: 0.51 to 3.23), p = 0.004]. Levels of ALP showed a significant increase in the placebo group [Mean change: 15.28 (95% CI: 1.19 to 29.37) p = 0.023] [Table 4].

Between-group difference

Between-group difference showed a significant change in 25 (OH) vitamin D [Mean diff: 31.89, 95% CI: 20.46 to 43.32, p <0.001] and CRP [Mean diff: -1.97 (95% CI: -3.99 to 0.04), p = 0.042]. BAP levels showed a significant between-group difference [Mean change: -5.08 (95% CI: -12.80 to 2.64) p = 0.019] [Table 4].

Drug compliance, safety, and protocol violations

As shown in Supplementary Table 1, non-compliance with the study drug for >3 months was observed in 6 participants (out of 894) in the cholecalciferol group and 2 in the placebo group. No reasons were given by the participants for the same. No serious drug-related adverse events were recorded in either of the groups. Similarly, there were no protocol violations except for drug non-compliance as mentioned before. Activated vitamin D was initiated in 5 participants in the cholecalciferol group and 5 in the placebo group at different durations of follow-up.

Supplementary Table 1

Discussion

In this study, cholecalciferol supplementation significantly increased 25(OH)D levels. Most randomized controlled clinical trials have shown an effective increase in 25(OH)D levels after supplementation with the most common forms of vitamin D.1,14,15 We did not observe any significant effect of cholecalciferol treatment on MACE, need for RRT, and mortality; however, markers of inflammation and bone metabolism were favorably changed.

The data from this study, indicating no effect of vitamin D on CVD outcomes or CKD progression, are consistent with previously reported data. Studies including a low daily dose of Vitamin D (VITAL) or a monthly high-dose regimen (ViDA) did not show any effect on cardiovascular outcomes.16,17 In the PRIMO and OPERA randomized controlled trials, paricalcitol treatment did not improve cardiovascular outcomes, specifically left ventricular structure or function, in stage ¾ CKD.18,19 A recent meta-analysis of RCTs, including the VITAL and ViDA studies, confirms these findings and suggests that vitamin D supplementation does not prevent cardiovascular events, CVD mortality, or all-cause mortality.20 Similarly, a meta-analysis of RCTs of different vitamin D supplements, with or without calcium, did not show a positive impact on preventing CVD risk.21 Additionally, vitamin D supplementation in patients receiving hemodialysis has been found to be ineffective in improving CVD.22 D-Health randomized trial, however, showed a reduction in the incidence of major cardiovascular events like myocardial infarction and coronary revascularization when given a monthly dose of 60000IU of vitamin D3 for five years.23 These variations in outcomes across all these studies could be attributed to the observed heterogeneity among them in various aspects, including differences in study design, vitamin D analogues and dosage, baseline vitamin D levels, and variations in study duration, among other factors.

We also analyzed the biomarkers of bone turnover, as vitamin D has been reported to play a beneficial role in bone mineral metabolism. Among these, FGF-23 significantly increased in the cholecalciferol as well as in the placebo group, while serum CTX levels significantly decreased in the cholecalciferol group at 12 months follow-up. FGF-23 levels gradually rise, starting in the early stages of CKD, and are believed to be a physiological adaptation aimed at preserving normal serum phosphate levels and overall phosphorus balance.24 It suppresses calcitriol synthesis in the kidney and promotes the breakdown of active vitamin D sterols. Conversely, calcitriol promotes FGF-23 expression.25 Our findings suggest that vitamin D therapy may boost FGF-23 levels. In a recent randomized controlled trial of 127 patients with CKD stage 3 and type 2 diabetes mellitus, calcitriol was shown to significantly decrease CTX levels and increase FGF-23 levels.26 Although vitamin D plays an important role, its supplementation in CKD should be carefully monitored to balance correction of deficiency with the potential risk of elevating FGF-23 levels, which are independently associated with increased CVD risk and mortality.27-29 CTX is a bone turnover marker that is directly released during bone resorption. Hence, decreased levels of CTX are an indicator of a decrease in bone resorption due to cholecalciferol. We observed a significant between-group difference in BAP, a specific marker of bone formation and remodeling. Similar results were reported in a study by Lerch et al.30 on children with CKD. These data indicate the effectiveness of Vitamin D in markers of bone metabolism.

Continuous accumulation of inflammatory factors like IL-6 and CRP leads to microinflammation in the kidneys.31 In this context, our study showed no significant effect of vitamin D on IL-6 levels, whereas CRP levels decreased significantly. Although a recent meta-analysis of randomized controlled trials in CKD indicates no effect of vitamin D on inframammary markers (IL-6 and CRP),32 however, our data suggest that vitamin D is effective in reducing the inflammation in CKD.

Vitamin D deficiency is nearly ubiquitous in CKD. It is of utmost importance to evaluate whether interventions aimed at intermediate outcomes, such as vitamin D supplementation in CKD, lead to enhancements in clinical outcomes like CVD, mortality, and need for RRT. The precise procedure for addressing vitamin D deficiency is not clearly defined. We administered 60,000 IU of cholecalciferol once every 2 weeks, which successfully restored 25(OH)D levels and improved markers of bone turnover. However, this approach did not impact the occurrence of CVD, all-cause mortality, or the necessity of RRT. This data is consistent with the recent meta-analysis, which concluded that widespread vitamin D supplementation does not confer clinical benefits on all-cause or cause-specific mortality, cardiovascular events, cancer, or numerous other clinically relevant end points across several large clinical trials.33 Our study, however, was not specifically structured to explore the long-term effects of cholecalciferol on bone turnover in these patients. Hence, it is essential to monitor the long-term effects of this strategy.

There are a few limitations of our study. A shorter study duration may not be appropriate to achieve the MACE events. We studied the protective effect of vitamin D among patients with CKD with insufficient levels of vitamin D at baseline, which may vary in patients with deficient levels. We did not assess intermediate cardiovascular outcomes like pulse wave velocity, bone health markers like bone biopsy, and dual energy X-ray absorptiometry (DXA). We did not consider cardiovascular health at baseline. We exclusively examined a single form of vitamin D, which may not always be the most efficient option. A small proportion of participants in both groups received activated forms of vitamin D during follow-up, which could have influenced the observed biochemical outcomes. Activated vitamin D analogues are known to directly suppress parathyroid hormone levels and may also impact bone turnover markers and FGF-23 concentrations. Although their use in an equal number of participants across both arms likely minimized systematic bias; however, even limited exposure could have attenuated between-group differences.

In conclusion, this study’s findings suggest that although cholecalciferol is biologically active, its role in reducing cardiovascular risk in CKD remains unproven. Larger, adequately powered studies with longer follow-up are required to determine whether vitamin D supplementation can meaningfully impact MACE and other hard clinical outcomes in this population.

Author contributions

Conceptualization, review & editing: VK, VJ; Resources: VK, VJ, HSK; Investigation: VK, HSK, SS, KM; Supervision, funding acquisition: VK, VJ; Methodology: VK, AKY, HK, NS, KK; Formal analysis: VK, AKY, KK; Data curation: VK, KM, KK; Writing original draft: KK, AKY. All authors provided final approval to the work.

Financial support and sponsorship

This study was funded by a grant received by the Department of Biotechnology, Ministry of Science and Technology, India (Grant No. BT/PR29764/PFN/20/1417/2018) and the Department of Biotechnology -Wellcome Trust, India Alliance (Grant No. IA/CPHI/18/1/503954) to VK and Indian Chronic Kidney Disease (ICKD) cohort study supported by the Department of Biotechnology, Ministry of Science and Technology, India (Grant No. BT/PR36541/MED/30/2198/2020) to VJ.

Conflicts of interest

VJ has research grants from Baxter, GSK and reports Consultancy and Advisory Board honoraria from Baxter Healthcare, and AstraZeneca, outside the published work. All other authors reported no conflict of interest.

The authors declare that no generative AI or AI-assisted tools were used in drafting, editing, or preparing this manuscript.

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