Association between objective sleep structure and suicidal ideation in patients with depression: a study based on polysomnographic regression and cluster analysis - Summary - MDSpire
Advertisement
Association between objective sleep structure and suicidal ideation in patients with depression: a study based on polysomnographic regression and cluster analysis
To examine associations between objective sleep structure and current suicidal ideation (SI) in depressed patients and to explore the utility of sleep-clinical clustering for SI stratification.
Approach:
Participants: 287 patients with depressive disorder underwent clinical assessment and overnight polysomnography (PSG).
Assessment of SI: Current SI was assessed using item 3 of the HAMD-17.
Only the HAMD total score was independently associated with current SI (OR = 1.683, p < 0.001).
Cluster analysis revealed three subgroups with distinct SI rates: Cluster 1 (37.04%), Cluster 2 (70.37%), Cluster 3 (60.80%).
Membership in Clusters 2 + 3 was associated with current SI (OR = 3.152, p < 0.001).
Interpretation:
Depression severity was the primary factor associated with current SI, while PSG-derived sleep-clinical clusters may help characterize presentations of SI.
Limitations:
The study's exploratory nature requires validation in larger longitudinal samples.
The primary cluster association was attenuated when adjusting for HAMD total score.
Conclusion:
PSG-derived sleep-clinical clusters may provide insights into the heterogeneity of current SI in depressed patients.
The partner in the next room, the hormone in the blister pack, the cat on the couch, the minute-long chair stand. Several new studies suggest the factor shaping outcomes may be the one clinicians aren’t routinely measuring.
Longer initial prescriptions, use of multiple benzodiazepines, and long-acting agents were associated with delayed discontinuation in a retrospective population-based cohort study.