Cardiovascular variations in patients with major depressive disorder versus bipolar disorder
Fei Xie1, LinLin Zhou2, Qiang Hu3
1School of Public Health, Fudan University, Shanghai, China; Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China.
Insights
Cardiac autonomic function, specifically heart rate variability (HRV), may help differentiate unipolar depression (UD) from bipolar depression (BD). Patients with BD showed greater cardiac imbalance than those with UD, suggesting HRV as a potential biomarker.
Area of Science:
- Psychiatry
- Cardiology
- Biomarkers
Background:
- Differentiating major depressive disorder (MDD) from bipolar disorder (BD) is clinically challenging.
- Reliable biomarkers are crucial for accurate diagnosis.
- Cardiac autonomic function is explored as a potential diagnostic indicator.
Purpose of the Study:
- To assess if cardiac autonomic function can distinguish between unipolar depression (UD), bipolar depression (BD), and bipolar mania (BM).
- To identify potential psychophysiological biomarkers for differential diagnosis.
Main Methods:
- Recruited 791 patients with mood disorders (191 UD, 286 BD, 314 BM), drug-free for at least 2 weeks.
- Measured cardiovascular status using heart rate variability (HRV) and pulse wave velocity (PWV) via finger photoplethysmography.
- Analyzed data adjusting for age, sex, and body mass index.
Main Results:
- Patients with BD exhibited lower HRV and higher heart rates than UD and BM groups.
- PWV indicators were lower in the UD group compared to the BD group.
- HRV and PWV variations remained significant after covariate adjustment, with high-frequency HRV indices showing the largest effect size and highest AUC (0.714).
Conclusions:
- Bipolar depression (BD) is associated with greater cardiac imbalance than unipolar depression (UD).
- Heart rate variability (HRV) shows potential as a psychophysiological biomarker for differentiating UD and BD.
- Further research is needed to confirm these findings.
Background:
Differentiating depression in major depressive disorder and bipolar disorder is challenging in clinical practice. Therefore, reliable biomarkers are urgently needed to differentiate between these diseases. This study's main objective was to assess whether cardiac autonomic function can distinguish patients with unipolar depression (UD), bipolar depression (BD), and bipolar mania (BM).
Methods:
We recruited 791 patients with mood disorders, including 191 with UD, 286 with BD, and 314 with BM, who had been drug free for at least 2 weeks. Cardiovascular status was measured using heart rate variability (HRV) and pulse wave velocity (PWV) indicators via finger photoplethysmography during a 5-min rest period.
Results:
Patients with BD showed lower HRV but higher heart rates than those with UD and BM. The PWV indicators were lower in the UD group than in the bipolar disorder group. The covariates of age, sex, and body mass index affected the cardiovascular characteristics. After adjusting for covariates, the HRV and PWV variations among the three groups remained significant. Comparisons between the UD and BD groups showed that the variable with the largest effect size was the frequency-domain indices of HRV, very low and high frequency, followed by heart rate. The area under the receiver operating characteristic curve (AUC) for each cardiovascular variable ranged from 0.661 to 0.714. The High-frequency index reached the highest AUC.
Limitations:
Cross-sectional design and the magnitude of heterogeneity across participants with mood disorders limited our findings.
Conclusion:
Patients with BD, but not BM, had a greater extent of cardiac imbalance than those with UD. Thus, HRV may serve as a psychophysiological biomarker for the differential diagnosis of UD and BD.
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