| Literature DB >> 35095709 |
Yilei Zhao1, Jingfeng Xu1, Zhan Feng1, Jincheng Wang1.
Abstract
Some studies show that low serum vitamin D levels are associated with white matter hyperintensity (WMH), while other studies report no association. This meta-analysis aimed to investigate the presence of an association between serum 25-hydroxy vitamin D [25(OH)D] levels and WMH. PubMed, Embase, the Cochrane Library, CNKI, WANFANG, and VIP were searched for available papers published up to December 2020. The outcomes were the odds ratios (ORs) with 95% confidence intervals (CIs) for the association between different vitamin D statuses and WMH. All meta-analyses were performed using a random-effects model. Five studies (4393 patients) were included. Compared with sufficient 25(OH)D levels, 25(OH)D deficiency was not associated with WMH (OR = 1.67, 95%CI: 0.92-3.04; I2 = 70.2%, P heterogeneity = 0.009), nor was 25(OH)D insufficiency (OR = 1.21, 95%CI: 0.89-1.65; I2 = 48.1%, P heterogeneity = 0.103). A decrease of 25 nmol/L in 25(OH)D levels was associated with WMH (OR = 1.83, 95%CI: 1.34-2.49; I2 = 0%, P heterogeneity= 0.512). The sensitivity analyses showed that the results were robust. 25(OH)D deficiency and insufficiency are not associated with WMH. A decrease of 25 nmol/L in 25(OH)D levels was associated with WMH, but this result will have to be confirmed. Prospective trials, both cross-sectional and longitudinal, are necessary to examine the association between 25(OH)D levels and WMH.Entities:
Keywords: magnetic resonance imaging; meta-analysis; odds ratios; systematic review; vitamin D deficiency; white matter abnormality
Year: 2022 PMID: 35095709 PMCID: PMC8794798 DOI: 10.3389/fneur.2021.721427
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.003
Figure 1Flow diagram of the study selection process.
Literature search and characteristics of the included studies.
|
|
|
|
|
|
|
|
|
|
|
| |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
|
| |||||||||
| Feng et al. ( | Prospective cohort study | China | First-ever minor ischemic stroke or transient ischemic attack | 234 | 64.8 | 56.8 | / | / | / | Chemiluminescent immunoassay | 1.8%-3.2% | 2.2%-3.5% | 3.0-T MRI (MAGNETOM Trio 3.0-T, Siemens, Amberg, Germany) |
| Littlejohns et al. ( | Prospective cohort study | USA | / | 1658 | 73.6 ± 4.5 | 30.8 | <25 nmol/L | ≥25-50 nmol/L | ≥50 nmol/L | Liquid chromatography and tandem mass spectrometry (LC-MS) on a Waters Quattro micro mass spectrometer | / | <3.4% | 1.5-T/O.35-T MRI |
| Michos et al. ( | Prospective cohort study | USA | Cardiovascular disease | 1622 | 62 | 40.4 | <50 nmol/L | 50 nmol/L, and <75 nmol/L | ≥75 nmol/L | Liquid chromatography–tandem mass spectrometry | / | 6.20% | / |
| Chung et al. ( | Cross-sectional study | Korea | Acute ischemic stroke or transient ischemic attack | 759 | 68 ± 13 | / | ≤ 25 nmol/L | >25 nmol/L and ≤ 50 nmol/L | >50 nmol/L | Chemiluminescent immunoassay | 5.10% | 4.40% | 3.0-T MR unit (Avanto, Philips, Eindhoven, The Netherlands |
| Ma et al. ( | Case-control study | China | White matter lesion | 120 | 72.16 ± 3.71 | 59.2 | <50 nmol/L | 50-75 nmol/L | ≥75 nmol/L | / | / | / | / |
Figure 2Forest plot of deficient vs. sufficient vitamin D level. % Weight represents the contribution of the sample size of each study to the total number of patients included in the analysis.
Figure 3Forest plot of insufficient vs. sufficient vitamin D level. % Weight represents the contribution of the sample size of each study to the total number of patients included in the meta-analysis.
Figure 4Forest plot of vitamin D decreased by 25 nmol/L. % Weight represents the contribution of the sample size of each study to the total number of patients included in the meta-analysis.
Figure 5Sensitivity analysis of deficient vs. sufficient vitamin D level.
Figure 6Sensitivity analysis of insufficient vs. sufficient vitamin D level.