Why the study?
The study sought to verify the usefulness of autonomic measurement via linear discriminant analysis of HRV indices in assessing the feasibility of return to work after sick leave in patients with MDD.
Does linear discriminant analysis of HRV indices predict successful return to work in patients with major depressive disorder?
Does linear discriminant analysis of HRV indices predict successful return to work in patients with major depressive disorder?
Linear discriminant analysis of HRV indices shows high sensitivity but low specificity for predicting successful return to work in patients with major depressive disorder.
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High sensitivity but low specificity limits utility for return-to-work prediction in MDD; leaves open prospective validation before clinical use.
Using a linear discriminant analysis of heart rate variability (HRV) indices, the present study sought to verify the usefulness of autonomic measurement in major depressive disorder (MDD) patients by assessing the feasibility of their return to work after sick leave. When reinstatement was scheduled, patients' HRV was measured using a wearable electrocardiogram device. The outcome of the reinstatement was evaluated at one month after returning to work. HRV indices including high- and low-frequency components were calculated in three conditions within a session: initial rest, mental task, and rest after task. A linear discriminant function was made using the HRV indices of 30 MDD patients from our previous study to effectively discriminate the successful reinstatement from the unsuccessful reinstatement; this was then tested on 52 patients who participated in the present study. The discriminant function showed that the sensitivity and specificity in discriminating successful from unsuccessful returns were 95.8% and 35.7%, respectively. Sensitivity is high, indicating that normal HRV is required for a successful return, and that the discriminant analysis of HRV indices is useful for return-to-work screening in MDD patients. On the other hand, specificity is low, suggesting that other factors may also affect the outcome of reinstatement.
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Shinba et al. (2021) studied this question.
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