| Literature DB >> 31891001 |
Nisha Bansal1, Ronit Katz1, Lawrence Appel2, Michelle Denburg3, Harold Feldman4, Alan S Go5, Jiang He6, Andrew Hoofnagle7, Tamara Isakova8, Bryan Kestenbaum1, John Kusek9, James Lash10, Mary Leonard11, Mahboob Rahman12, Cassianne Robinson-Cohen13, Myles Wolf14, Dawei Xie15, Leila Zelnick1, Ian H de Boer1.
Abstract
INTRODUCTION: Assessment of impaired vitamin D metabolism is limited by lack of functional measures. CYP24A1-mediated vitamin D clearance, calculated as the ratio of serum 24,25-dihydroxyvitamin D3 to 25-hydroxyvitamin D3 (the vitamin D metabolic ratio, VDMR), is induced by 1,25-dihydroxyvitamin D and may assess tissue-level activity. We tested associations of the VDMR with risks of death and progression to end-stage renal disease (ESRD) in patients with chronic kidney disease (CKD).Entities:
Keywords: kidney; mortality; vitamin D
Year: 2019 PMID: 31891001 PMCID: PMC6933450 DOI: 10.1016/j.ekir.2019.08.014
Source DB: PubMed Journal: Kidney Int Rep ISSN: 2468-0249
Figure 1Cohort assembly. CRIC, Chronic Renal Insufficiency Cohort; ESRD, end-stage renal disease.
Characteristics of a subcohort of CRIC study participants by categories of vitamin D metabolic ratio (24,25[OH]2D3:25[OH]D3)
| Characteristic | Total | 24,25(OH)2D3/25(OH)D3 (pg/ng) | ||
|---|---|---|---|---|
| T1 | T2 | T3 | ||
| 24,25(OH)2D3:25(OH)D3 range (pg/ng) | 0.00–26.47 | 26.48–43.16 | 43.17–136.97 | |
| 1080 | 348 | 365 | 367 | |
| 24,25(OH)2D3, ng/ml, mean (SD) | 0.78 (0.69) | 0.26 (0.20) | 0.65 (0.37) | 1.41 (0.75) |
| 25(OH)D3, ng/ml, mean (SD) | 18.6 (10.4) | 13.5 (8.1) | 18.6 (9.9) | 23.5 (10.6) |
| Demographics | ||||
| Age, yr, mean (SD) | 59 (11) | 58 (11) | 61 (10) | 58 (10) |
| Female, | 464 (43) | 151 (43) | 152 (42) | 161 (44) |
| Race/ethnicity, | ||||
| Non-Hispanic white | 463 (43) | 99 (28) | 148 (41) | 216 (59) |
| Non-Hispanic black | 457 (42) | 197 (57) | 152 (42) | 108 (29) |
| Hispanic | 124 (12) | 44 (13) | 51 (14) | 29 (8) |
| Other | 36 (3) | 8 (2) | 14 (4) | 14 (4) |
| Medical history, | ||||
| Diabetes | 534 (49) | 203 (58) | 205 (56) | 126 (34) |
| Current smoker | 113 (11) | 53 (15) | 30 (8) | 30 (8) |
| Prevalent cardiovascular disease | 362 (34) | 123 (35) | 142 (39) | 97 (26) |
| Prevalent heart failure | 98 (9) | 33 (10) | 37 (10) | 28 (8) |
| Prevalent myocardial infarction | 242 (22) | 85 (24) | 85 (23) | 72 (20) |
| Prevalent stroke | 108 (10) | 38 (11) | 43 (12) | 27 (7) |
| Prevalent peripheral arterial disease | 69 (6) | 21 (6) | 35 (10) | 13 (4) |
| Hypertension | 960 (89) | 325 (93) | 339 (93) | 296 (81) |
| Medications, | ||||
| Calciferols | 132 (12) | 28 (8) | 37 (10) | 67 (18) |
| Vitamin D receptor agonists | 69 (6) | 36 (10) | 29 (8) | 4 (1) |
| Cinacalcet | 2 (0.2) | 2 (0.6) | 0 (0) | 0 (0) |
| Phosphate binders | ||||
| Calcium-based | 68 (6) | 35 (10) | 10 (3) | 23 (6) |
| Non–calcium-based | 2 (0.2) | 1 (0.3) | 0 (0) | 1 (0.3) |
| Physical examination, mean (SD) | ||||
| Body mass index, kg/m2 | 32.3 (8.1) | 34.0 (9.4) | 32.7 (7.7) | 30.2 (6.5) |
| Systolic blood pressure, mm Hg | 126 (21) | 129 (22) | 129 (22) | 121 (19) |
| Diastolic blood pressure, mm Hg | 70 (14) | 71 (13) | 69 (14) | 70 (13) |
| Laboratory data | ||||
| eGFR CKD-EPI, ml/min per 1.73 m2, mean (SD) | 43 (16) | 35 (14) | 41 (14) | 52 (14) |
| Proteinuria, median [IQR] g/24 hr | 0.13 [0.05–0.72] | 0.28 [0.08–1.11] | 0.13 [0.05–0.66] | 0.08 [0.04–0.34] |
| Calcium, mg/dl, mean (SD) | 9.3 (0.5) | 9.2 (0.6) | 9.3 (0.5) | 9.4 (0.4) |
| Phosphate, mg/dl, mean (SD) | 3.69 (0.64) | 3.75 (0.69) | 3.75 (0.66) | 3.57 (0.55) |
| FGF-23, pg/ml, median [IQR] | 128 [85–217] | 166 [107–308] | 137 [86–217] | 101 [69–153] |
| Total 25(OH)D, ng/ml, mean (SD) | 20.6 (10.7) | 15.0 (8.7) | 20.8 (10.3) | 25.7 (10.2) |
| Total 1,25(OH)D, pg/ml, mean (SD) | 32.0 (14.5) | 32.4 (15.0) | 31.1 (13.8) | 32.4 (14.6) |
| Intact PTH, pg/ml, median [IQR] | 62 [41–99] | 93 [64–161] | 65 [45–96] | 44 [29–62] |
CKD-EPI, Chronic Kidney Disease Epidemiology Collaboration; CRIC, Chronic Renal Insufficiency Cohort; eGFR, estimated glomerular filtration rate; FGF-23, fibroblast growth factor-23; IQR, interquartile range; PTH, parathyroid hormone.
Correlation matrix of vitamin D metabolites and other mineral metabolism and kidney function measures in subcohort
| Measure of vitamin D metabolite or kidney function | 24,25(OH)2D3 | 25(OH)D3 | 24,25(OH)2D3/25(OH)D3 | eGFR | PCR | FGF-23 | PTH |
|---|---|---|---|---|---|---|---|
| 24,25(OH)2D3 | 1.00 | 0.87 | 0.83 | 0.35 | –0.30 | –0.28 | –0.52 |
| 25(OH)D3 | 1.00 | 0.46 | 0.11 | –0.24 | –0.17 | –0.36 | |
| 24,25(OH)2D3/25(OH)D3 | 1.00 | 0.49 | –0.27 | –0.31 | –0.53 | ||
| eGFR | 1.00 | –0.39 | –0.52 | –0.53 | |||
| PCR | 1.00 | –0.33 | 0.36 | ||||
| FGF-23 | 1.00 | 0.36 | |||||
| PTH | 1.00 |
eGFR, estimated glomerular filtration rate; FGF-23, fibroblast growth factor-23; PTH, parathyroid hormone.
Correlation significant at the 0.01 level.
Figure 2Kaplan-Meier curves for (a) end-stage renal disease (ESRD)–free survival and (b) overall survival across categories of vitamin D metabolic ratio (24,25[OH]2D3/25[OH]D3) in the subcohort.
Associations of vitamin D metabolic ratio (24,25[OH]2D3/25[OH]D3) with risk of ESRD and death in case cohort
| 24,25(OH)2D3/25(OH)D3 ratio | No. of events | Incidence rate (%/yr) | HR (95% CI) | HR (95% CI) | HR (95% CI) |
|---|---|---|---|---|---|
| ESRD | |||||
| Tertile 1 | 371 | 7.00 | 3.20 (2.41–4.27) | 0.88 (0.63–1.23) | 0.79 (0.55–1.16) |
| Tertile 2 | 225 | 4.42 | 1.90 (1.43–2.52) | 0.89 (0.64–1.26) | 0.75 (0.51–1.09) |
| Tertile 3 | 112 | 1.32 | Ref | Ref | Ref |
| Per 20 pg/ng (1 SD) decrement | 1.80 (1.56–2.08) | 0.94 (0.81–1.10) | 0.86 (0.72–1.02) | ||
| Death | |||||
| Tertile 1 | 278 | 4.80 | 1.10 (0.80–1.51) | 1.09 (0.79–1.50) | 1.06 (0.72–1.56) |
| Tertile 2 | 227 | 3.26 | 1.19 (0.89–1.58) | 1.15 (0.86–1.54) | 1.10 (0.78–1.55) |
| Tertile 3 | 145 | 1.49 | Ref | Ref | Ref |
| Per 20 pg/ng (1 SD) decrement | 1.18 (1.02–1.36) | 1.17 (1.01–1.36) | 1.18 (0.99–1.41) | ||
CI, confidence interval; ESRD, end-stage renal disease; HR, hazard ratio; Ref, reference.
Model 1: Adjusted for age, sex, race, diabetes, systolic blood pressure, number of antihypertensive medication classes, prevalent cardiovascular disease, smoking status, renin-angiotensin-aldosterone inhibitors, statin use, calciferol use, and vitamin D receptor activators.
Model 2: Model 1 + estimated glomerular filtration rate and urine protein-to-creatinine ratio.
Model 3: Model 2 + parathyroid hormone and fibroblast growth factor-23.
Incidence rate is based on the subcohort only.