Return-to-Work Screening by Linear Discriminant Analysis of Heart Rate Variability Indices in Depressed Subjects

Area of Science:

• Psychiatry
• Cardiology
• Occupational Health

Background:

• Major Depressive Disorder (MDD) significantly impacts work capacity.
• Assessing return-to-work feasibility in MDD patients is challenging.
• Autonomic nervous system function, measured by Heart Rate Variability (HRV), may offer insights.

Purpose of the Study:

• To evaluate the utility of HRV indices in predicting return-to-work success for MDD patients.
• To assess the feasibility of using autonomic measurements for screening MDD patients' work reinstatement.
• To determine if linear discriminant analysis of HRV can differentiate successful from unsuccessful returns.

Main Methods:

• Linear discriminant analysis (LDA) was applied to HRV indices (high- and low-frequency components).
• HRV was measured using wearable electrocardiogram devices in 52 MDD patients during rest, mental tasks, and post-task rest.
• A previously developed discriminant function based on 30 MDD patients' HRV data was tested on the current cohort.

Main Results:

• The discriminant function achieved a high sensitivity of 95.8% in identifying successful returns to work.
• Specificity was lower at 35.7%, suggesting other factors influence reinstatement outcomes.
• High sensitivity implies normal HRV is a necessary condition for successful work return.

Conclusions:

• Discriminant analysis of HRV indices is a potentially useful screening tool for MDD patients' return-to-work.
• While HRV is critical, other factors beyond autonomic function influence successful work reinstatement in MDD.
• Further research is needed to incorporate additional variables for improved prediction accuracy.