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Published on: December 11, 2019
Cardiac Clues in Major Depressive Disorder: Evaluating Electrical Risk Score as a Predictive Electrocardiography
Ulker Atilan Fedai1, Halil Fedai2, Zulkif Tanriverdi2
1Department of Psychiatry, Faculty of Medicine, Harran University, Sanliurfa 63300, Turkey.
Insights
The electrical risk score (ERS), derived from electrocardiogram (ECG) data, is elevated in individuals with major depressive disorder (MDD). This non-invasive marker correlates with depression severity and duration, indicating potential cardiovascular risk.
Area of Science:
- Cardiology
- Psychiatry
- Biomarker Discovery
Background:
- Major depressive disorder (MDD) is linked to increased cardiovascular mortality.
- Non-invasive biomarkers are needed to assess cardiac risk in MDD patients.
- Electrocardiogram (ECG)-based markers, like the electrical risk score (ERS), show promise.
Purpose of the Study:
- To investigate the association between ERS and MDD.
- To determine if ERS correlates with depression severity and illness duration.
Main Methods:
- Retrospective cross-sectional study of 102 MDD patients and 62 controls.
- Calculated ERS from six ECG parameters.
- Assessed depression severity using the Hamilton Depression Rating Scale (HAM-D).
Main Results:
- ERS was significantly higher in the MDD group compared to controls.
- ERS was the strongest predictor of depression via ROC analysis.
- ERS positively correlated with MDD duration and HAM-D scores.
Conclusions:
- ECG-derived ERS is elevated in MDD patients, indicating increased cardiac risk.
- ERS is a practical, non-invasive biomarker for cardiovascular vulnerability in MDD.
- ERS outperforms conventional ECG markers in identifying depression and correlates with severity.
Abstract:
Background and Objectives: Major depressive disorder (MDD) is a prevalent psychiatric illness increasingly recognized as a systemic condition with implications for cardiovascular diseases. Growing evidence indicates that individuals with MDD have an elevated risk of cardiovascular mortality, underscoring the need for reliable, non-invasive biomarkers to assess cardiac risk. While underlying mechanisms remain unclear, electrocardiogram (ECG)-based markers offer a promising, non-invasive means of evaluation. Among these, the electrical risk score (ERS), a composite derived from specific ECG parameters, has emerged as a predictor of adverse cardiac outcomes. This study aimed to investigate the association between ERS and MDD, and whether ERS correlates with depression severity and illness duration. Materials and Methods: In this retrospective cross-sectional study, 12-lead ECGs were evaluated to calculate the ERS based on six ECG parameters: heart rate, corrected QT interval, Tp-e interval, frontal QRS-T angle, QRS transition zone, and presence of left ventricular hypertrophy according to Sokolow-Lyon criteria. The Hamilton Depression Rating Scale (HAM-D) was utilized. Results: The study included 102 patients with MDD and 62 healthy controls. No significant differences were observed in baseline or laboratory parameters between the groups. However, heart rate, Tp-e interval, frontal QRS-T angle, and ERS were significantly higher in the depression group. ROC analysis identified ERS as the strongest predictor of depression. ERS was significantly higher in patients with severe depression compared to those with mild symptoms and showed a positive correlation with both disease duration and HAM-D score. Conclusions: Here, we show that the ECG-derived ERS is significantly elevated in patients with MDD and is associated with increased cardiac risk. ERS outperformed conventional ECG parameters in identifying individuals with depression and demonstrated positive associations with both illness duration and symptom severity. These findings suggest that ERS may serve as a practical, non-invasive biomarker for assessing cardiovascular vulnerability in this population.
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