Vitamin D supplementation effects on the clinical outcomes of patients with coronary artery disease: a systematic review and meta-analysis.
Leila Sadat BahramiGolnaz RanjbarMohammad Reza Shadmand Foumani MoghadamSeyyed Mostafa ArabiPublished in: Scientific reports (2020)
In this systematic review and meta-analysis our aim was to assess the effect of vitamin D supplementation on cardiac outcomes in patients with coronary artery disease (CAD). The search terms were performed from January 2000 to January 2018, only randomized clinical trials (RCT) in human subjects were considered, with no language restrictions. The electronic databases used in this study were: PubMed; Cochran library; Embase; and Scopus. Two independent expert reviewers carried out data extraction according to Cochrane recommendations. Only four RCTs were found in relation to the effects of vitamin D supplementation on the coronary artery disease. In these 299 patients, vitamin D supplementation had significant favorable effects on Diastolic Blood Pressure (DBP) (- 2.96, p = 0.02) and Parathyroid hormone (PTH) (- 4.05, p < 0.001). However, it had no significant effects on hs-CRP mean difference (- 0.04, p = 0.25), total cholesterol (TC) (- 0.46, p = 0.83), triglyceride (TG) (0.68, p = 0.89), low-density lipoproteins (LDL) (2.08, p = 0.56), and high-density lipoproteins (HDL) (- 2.59, p = 0.16). In conclusion, the use of vitamin D was associated with improvements in some cardiac outcomes of CAD patients with vitamin D deficiency. Also, further research is needed to clarify these results.
Keyphrases
- coronary artery disease
- blood pressure
- high density
- left ventricular
- ejection fraction
- end stage renal disease
- newly diagnosed
- endothelial cells
- percutaneous coronary intervention
- low density lipoprotein
- cardiovascular events
- big data
- chronic kidney disease
- coronary artery bypass grafting
- clinical practice
- prognostic factors
- heart failure
- heart rate
- hypertensive patients
- electronic health record
- aortic stenosis
- clinical trial
- metabolic syndrome
- weight loss
- artificial intelligence
- transcatheter aortic valve replacement
- deep learning
- patient reported