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. 2025 May 1;36(3):211-217.
doi: 10.1097/MCA.0000000000001469. Epub 2024 Dec 3.

Serum malondialdehyde levels at admission as a predictor of inhospital mortality in patients with acute coronary syndrome

Muammer Karakayali  1 , Metin Ogun  2 , Inanç Artac  1 , Doğan Ilis  1 , Ayca Arslan  1 , Timor Omar  1 , Öztürk Demir  1 , Talha Karahan  3 , Soner Kina  4 , Ibrahim Rencuzogullari  1 , Yavuz Karabag  1
Affiliations

Serum malondialdehyde levels at admission as a predictor of inhospital mortality in patients with acute coronary syndrome

Muammer Karakayali et al. Coron Artery Dis. .

Abstract

Introduction and objective: Malondialdehyde (MDA) is a predictive marker of cardiovascular events in patients with stable angina pectoris. However, there is limited information available regarding this marker in patients with acute coronary syndrome (ACS). The aim of the study was to explore the association of MDA levels with inhospital mortality among patients with ACS.

Materials and methods: The study sample consisted of 556 ACS patients. The leftover plasma samples collected in EDTA vials for troponin T estimation within 24 h of chest pain were used for analysis. Blood samples were collected into tubes for MDA, nitric oxide (NO), inducible nitric oxide synthase (i-NOS), endothelial nitric oxide synthase (e-NOS), total sialic acid (TSA), NT-proBNP, ANP, homocysteine, and cardiac troponin I (cTnI). The blood samples were centrifuged (4000 g , 4 °C) for 10 min, and the obtained serum then kept at -25 °C until the analyses were carried out. The relationship between these markers and inhospital mortality of ACS patients was investigated.

Results: Univariate logistic regression analysis revealed significant correlations among sex, age, creatine, MDA, NT-proBNP, ANP, homocysteine, cTnI, NO, e-NOS, i-NOS, and TSA. Further analysis of these variables using the multivariate logistic regression analysis indicated that age, creatine, MDA, and NT-proBNP were independent predictors. Optimal MDA cutoff value of >33.1 predicted inhospital mortality with 85% sensitivity and 88.17% specificity [AUC: 0.905 (95% CI: 0.878-0.928, P < 0.001)].

Conclusion: We demonstrated that MDA levels were elevated in cases of inhospital mortality among ACS patients and the optimal MDA cutoff value of >33.1 predicted inhospital mortality with 85% sensitivity and 88.17% specificity.

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