Vitamin D status and clinical severity in ST segment elevation myocardial infarction

OpenAlex İngilizce

Purpose: Emerging data revealed the significant role of vitamin D (vitD) in cardiovascular (CV) events. Clinical indices like Thrombolysis in Myocardial Infarction (TIMI) risk score, corrected TIMI frame count (CTFC) and high sensitivity cardiac troponin T (hs-cTnT) levels have short and long-term predictive values regarding CV mortality and morbidity in ST-segment elevation acute myocardial infarction (STEMI). The aim of this study was to determine the predictive value of vitD for clinical severity parameters in STEMI. Methods: Patients with STEMI admitted to our hospital were prospectively and consecutively evaluated and proceeded to primary percutaneous coronary intervention (PCI). Patients with a previous history of coronary artery bypass graft (CABG), renal/hepatic failure and patients in need for emergency CABG were excluded from the study. 102 subjects ([mean±SD]age, 57±11 years) were enrolled in the study (female n [%]:18 [17,6%]). VitD levels were obtained on admission. VitD < 20 ng/ml was defined as vitD deficiency. CTFC were calculated after PCI for culprit lesion. Results: VitD deficiency was detected in 63,4% (<30 ng/ml in 92,7%) of the study population. In vitD deficient group, significantly higher hs-cTnT admission values ([median] 3598 ng/L vs 2576 ng/L, p=0,015), TIMI scores (25th-75th percentiles; 2-5 vs 1-3, p<0,001), LAD CTFC (Data±SEM; 18,4±2,3 vs 12,6±1,4 p=0,042) and RCA CTFC (27,5,4±3,6 vs 19,6±1,6 p=0,044) were detected compared with non vitD deficient group. VitD levels were inversely correlated with TIMI STEMI scores (r:-0,438, p<0,001). In multivariate regression analyses, vitD levels was found as an independent predictor of higher TIMI STEMI scores after adjusting for age, gender, HT and DM (Table-1). Table-1 Regression model for TIMI risk score. Conclusions: Our findings suggest that low vitD levels may play a role in disease severity of STEMI patients by means of its independent associations with risk algorithms.