| Literature DB >> 26124976 |
Miguel Ortego-Jurado1, José-Luis Callejas-Rubio2, Raquel Ríos-Fernández2, Juan González-Moreno3, Amanda Rocío González Ramírez4, Miguel A González-Gay5, Norberto Ortego-Centeno2.
Abstract
Glucocorticoids (GCs) are the cornerstone of the therapy in many autoimmune and inflammatory diseases. However, it is well known that their use is a double edged sword, as their beneficial effects are associated almost universally with unwanted effects, as, for example glucocorticoid-induced osteoporosis (GIO). Over the last years, several clinical practice guidelines emphasize the need of preventing bone mass loss and reduce the incidence of fractures associated with GC use. Calcium and vitamin D supplementation, as adjunctive therapy, are included in all the practice guidelines. However, no standard vitamin D dose has been established. Several studies with postmenopausal women show that maintaining the levels above 30-33 ng/mL help improve the response to bisphosphonates. It is unknown if the response is the same in GIO, but in the clinical practice the levels are maintained at around the same values. In this study we demonstrate that patients with autoimmune diseases, undergoing glucocorticoid therapy, often present suboptimal 25(OH)D levels. Patients with higher body mass index and those receiving higher doses of glucocorticoids are at increased risk of having lower levels of 25(OH)D. In these patients, calcidiol supplementations are more effective than cholecalciferol to reach adequate 25(OH)D levels.Entities:
Year: 2015 PMID: 26124976 PMCID: PMC4466436 DOI: 10.1155/2015/729451
Source DB: PubMed Journal: J Osteoporos ISSN: 2042-0064
Baseline characteristics of the subjects included in the study.
|
| Mean | SD | % | |
|---|---|---|---|---|
| Age | 147 | 56.06 | 16.11 | |
| Gender | ||||
| Men | 30 | 20.4% | ||
| Female | ||||
| Menopause | ||||
| No | 49 | 33.3% | ||
| Yes | 68 | 46.3% | ||
| Weight (kg) | 147 | 72 | 16 | |
| Height (cm) | 147 | 160 | 9 | |
| BMI (kg/m2) | 147 | 27.91 | 5.47 | |
| Discontinuation of glucocorticoid therapy | ||||
| Yes | 14 | 9.5% | ||
| No | 133 | 90.5% | ||
| Prednisone (mg/d) | 147 | 5.24 | 2.91 | |
| Vitamin D | ||||
| No supplements (refused) | 12 | 8.2% | ||
| Cholecalciferol (vitamin D3) | 86 | 58.5% | ||
| Calcidiol (25[OH]D3) | 49 | 33.3% |
Baseline characteristics of the cholecalciferol and calcidiol groups.
| Cholecalciferol | Calcidiol |
| |
|
| |||
| Age (mean ± SD) | 56.6 ± 14.5 | 57.4 ± 19.0 | NS |
| Gender ( | |||
| Men | 21 (24.4) | 6 (12.2) | NS |
| Female | 65 (75.6) | 43 (87.8) | |
| Menopause ( | 44 (67.7) | 20 (46.5) | 0.028 |
| BMI (mean ± SD) | 28.9 ± 5.84 | 26.40 ± 4.53 | 0.010 |
| Prednisone, mg/day (mean ± SD) | 5.2 ± 2.74 | 4.0 ± 2.59 | NS |
Figure 125(OH)D levels (ng/mL) throughout the year in patients receiving cholecalciferol or calcidiol or not taking vitamin D (controls).
Factors linked to suboptimal 25(OH)D levels in the univariate and multiple logistic regression model, in the average of annual determinations.
| Factor | Univariate logistic regression analysis | Multiple logistic regression analysis | ||
|---|---|---|---|---|
|
| OR (95% CI) |
| OR (95% CI) | |
| Age | 0.88 | 1.00 (0.98–1.02) | NS | |
| BMI | 0.32 | 1.03 (0.97–1.10) | NS | |
| Prednisone dosage (mg/d) | 0.011 | 1.230 (1.04–1.39) | 0.03 | 1.20 (1.04–1.39) |
| Calcidiol versus cholecalciferol | 0.027 | 0.439 (0.21–0.91) | 0.03 | 0.44 (0.21–0.93) |
|
| % | ||||
|---|---|---|---|---|---|
| 25(OH)D | Optimal | ≥30 ng/mL | 81 | 55.1% | |
| Spring-summer | Suboptimal | Insufficient | 15–30 ng/mL | 51 | 34.7% |
| Deficient | <15 ng/mL | 15 | 10.2% | ||
|
| |||||
| 25(OH)D | Optimal | ≥30 ng/mL | 55 | 42.3% | |
| Autumn-winter | Suboptimal | Insufficient | 15–30 ng/mL | 60 | 46.2% |
| Deficient | <15 ng/mL | 15 | 11.5% | ||
|
| |||||
| 25(OH)D | Optimal | ≥30 ng/mL | 69 | 46.9% | |
| Average per year | Suboptimal | Insufficient | 15–30 ng/mL | 60 | 40.8% |
| Deficient | <15 ng/mL | 18 | 12.2% | ||
|
| % | ||||
|---|---|---|---|---|---|
| 25(OH)D | Optimal | ≥30 ng/mL | 44 | 51.2% | |
| Spring-summer | Suboptimal | Insufficient | 15–30 ng/mL | 34 | 39.5% |
| Deficient | <15 ng/mL | 8 | 9.3% | ||
|
| |||||
| 25(OH)D | Optimal | ≥30 ng/mL | 26 | 35.6% | |
| Autumn-winter | Suboptimal | Insufficient | 15–30 ng/mL | 36 | 49.3% |
| Deficient | <15 ng/mL | 11 | 15.1% | ||
|
| |||||
| 25(OH)D | Optimal | ≥30 ng/mL | 36 | 41.9% | |
| Average per year | Suboptimal | Insufficient | 15–30 ng/mL | 35 | 40.7% |
| Deficient | <15 ng/mL | 15 | 17.4% | ||
|
| % | ||||
|---|---|---|---|---|---|
| 25(OH)D | Optimal | ≥30 ng/mL | 33 | 67.3% | |
| Spring-summer | Suboptimal | Insufficient | 15–30 ng/mL | 11 | 22.4% |
| Deficient | <15 ng/mL | 5 | 10.2% | ||
|
| |||||
| 25(OH)D | Optimal | ≥30 ng/mL | 27 | 58.7% | |
| Autumn-winter | Suboptimal | Insufficient | 15–30 ng/mL | 17 | 37.0% |
| Deficient | <15 ng/mL | 2 | 4.3% | ||
|
| |||||
| 25(OH)D | Optimal | ≥30 ng/mL | 30 | 61.2% | |
| Average per year | Suboptimal | Insufficient | 15–30 ng/mL | 17 | 34.7% |
| Deficient | <15 ng/mL | 2 | 4.1% | ||