Cardiovascular Journal of Africa

Comparison of ECG, laboratory, comorbid disease and angiography data of young, middle-aged and elderly patients diagnosed with acute coronary syndromes, and evaluation of COVID-19 history

Mustafa Alpaslan, Necmi Baykan, Funda İpekten, Ömer Salt, Serhat Koyuncu, Oğuzhan Bol, Ayşe Şule Akan
Abstract
Objective: To compare ECG, laboratory, comorbid disease and angiography data of patients diagnosed with acute coronary syndrome according to young, middle and old age groups.
Methods: Demographic data such as age, gender and time of admission were analysed. Patients included in the study were over 18 years of age and were categorised into young (18– 44), middle (45-64) and elderly (≥ 65) age groups. Data were accessed from the hospital electronic data system. Patients' comorbidity status, COVID-19 status and laboratory data were analysed, and comparisons were made according to age groups.
Results: 780 patients were analysed in the study. 74% of the patients were male. The mean age was 63.60 ± 12.26 years. Most patients were in the middle age group (51.6%). According to ECG findings at admission, most cases were without ST elevation. LAD (67.9%) and RCA (58.5%) were the most frequently occluded vessels. The age at onset of acute coronary syndrome was lower in patients with COVID-19.
Conclusion: Acute coronary syndrome is most common in males gender and at older ages, but most commonly in patients without ST elevation. The incidence of acute coronary syndrome in patients with COVID-19 is higher, especially in the young-middle-aged age group.
Keywords: acute coronary syndrome, age, comorbidity, COVID-19
Submitted: July 5, 2024; Accepted: July 11, 2025; Published: October 17, 2025
Cardiovasc J Afr 2025; 36: 530-537
Volume 36, Issue 4
DOI Citation Reference: dx.doi.org/10.5830/CVJA-2025-076
Emergency Department, Nevsehir State Hospital, Nevsehir, Turkiye
Mustafa Alpaslan

Emergency Department, Kayseri City Hospital, Kayseri, Turkiye
Necmi Baykan
Ömer Salt
Serhat Koyuncu
Oğuzhan Bol
Ayşe Şule Akan

Biostatistics Department, Faculty of Medicine, Adıyaman University, Adıyaman, Turkiye
Funda İpekten

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