Related Experiment Video
Updated: Jan 28, 2026

Author Spotlight: Studying the Impact of Maternal Dietary Deficiencies on Long-Term Offspring Health Outcomes
Published on: June 28, 2024
Vitamin D Deficiency is not Associated with Higher Levels of SYNTAX Score
1Department of Cardiology, Near East University, Faculty of Medicine, Nicosia, Cyprus.
Objective:
To evaluate the association between serum vitamin D (vitD) level and SYNTAX (synergy between percutaneous coronary intervention with taxus and cardiac surgery) score (SS).
Methods:
The medical records of consecutive patients, who underwent coronary artery bypass graft surgery, were retrospectively reviewed. The study group consisted of 158 patients. Biochemical, clinical, and echocardiographic parameters and SS were evaluated in all patients. The patients were divided into 2 groups according to SS (≥23= high, <23= low).
Results:
The high SYNTAX score (HSS) group was older and had higher body mass index, C-reactive protein (CRP), low-density lipoprotein, and fasting plasma glucose level than the low SYNTAX score (LSS) group. The HSS group had lower high-density lipoprotein and vitD level than the LSS group. The HSS group had a higher prevalence of diabetes mellitus (DM), hypertension (HT), hyperlipidemia (HL), and current smoking patients than the LSS group. On univariate analysis, age, HT, DM, HL, smoking, CRP, and serum vitD level were associated with HSS. On multivariate analysis, HT, DM, and HL were independent predictors of HSS (odds ratio [OR]: 2.137, 95% confidence interval [CI]: 1.468-2.935, P<0.001; OR: 3.559, 95% CI: 2.763-5.927, P<0.001; OR: 2.631, 95% CI: 1.529-3.438, P<0.001; respectively).
Conclusion:
In our study, we have found out that HT, DM, and HL were independent predictors of HSS. Serum vitD level was not found to be an independent predictor of HSS.
Related Concept Videos
Vitamins
Introduction to z Scores
z scores...
Introduction to z Scores
z scores...
z Scores and Area Under the Curve
z Scores and Unusual Values
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
Leveling Effect

