Electrocardiographic Abnormalities and Cardiovascular Risk Assessment

Electrocardiography remains a cornerstone in the early detection and stratification of cardiovascular disease. By capturing electrical activity through surface electrodes, the electrocardiogram (ECG) can reveal conduction defects, repolarisation disturbances and rhythm anomalies that often precede clinical events. Abnormalities are typically classified as major or minor according to standardised systems, reflecting the severity of underlying pathology. Major abnormalities such as bundle branch blocks, pathological Q waves or pronounced ST‐segment changes signal elevated risk of myocardial infarction, heart failure or sudden cardiac death, whereas minor changes—including subtle ST‐segment depressions or T‐wave inversions—carry prognostic value when combined with traditional risk factors. Integration of ECG findings into global risk scores enhances reclassification of individuals at intermediate risk, guiding tailored preventive interventions. Recent advances in automated coding, artificial intelligence and large‐scale population studies have refined our understanding of the epidemiology, sex differences and age‐related trends in ECG abnormalities. As a low‐cost, widely available tool, the ECG offers unique global utility in resource‐constrained settings, supporting both individualised care and public health screening strategies.

Research from Nature Portfolio

A large‐scale analysis in a general Middle Eastern cohort of over 9 000 adults aged 35–65 examined the relationship between traditional cardiovascular risk factors and both major and minor ECG abnormalities. Hypertension, type 2 diabetes and smoking demonstrated a graded association with the prevalence of pathological ECG findings, and women over 60 exhibited the highest likelihood of both minor and major changes. The study highlighted gender‐specific trends, with hypertension emerging as a stronger predictor of ECG alterations in women, whereas diabetes appeared more influential in men. These findings underscore the value of routine ECG screening in asymptomatic adults, particularly where multiple risk factors converge, and support tailored prevention strategies based on demographic and clinical profiles.

Electrocardiographic Abnormalities and Cardiovascular Risk Assessment publication trend

The graph below shows the total number of articles in electrocardiographic abnormalities and cardiovascular risk assessment across all publications each year (not limited to Nature Index journals).

Technical terms

Electrocardiogram (ECG): Non‐invasive recording of the heart’s electrical activity via surface electrodes, used to detect conduction and rhythm abnormalities.

ST‐segment depression: Downward deviation of the ST segment below baseline, often indicating myocardial ischaemia or strain.

T‐wave abnormality: Altered T‐wave amplitude or inversion reflecting disturbances in ventricular repolarisation.

Minnesota coding: A standardised classification system for categorising ECG findings into major and minor abnormalities for epidemiological and clinical studies.

Net reclassification index: A statistical measure evaluating how addition of a new marker (e.g., ECG abnormalities) improves accuracy of risk prediction models.

References

1. Association of major and minor ECG abnormalities with traditional cardiovascular risk factors in the general population: a large scale study. Scientific Reports (2024).
2. Prevalences and associated factors of electrocardiographic abnormalities in Chinese adults: a cross-sectional study. BMC Cardiovascular Disorders (2020).
3. The Association and Predictive Ability of ECG Abnormalities with Cardiovascular Diseases: A Prospective Analysis. Global Heart (2020).
4. Prevalence of major and minor electrocardiographic abnormalities and their relationship with cardiovascular risk factors in Angolans. IJC Heart & Vasculature (2022).