Predicting mortality in mixed depression and dementia using EEG sleep variables

The authors report a study of electroencephalographic (EEG) sleep predictors of two-year mortality in 26 elderly patients with mixed symptoms of depression and cognitive impairment. Patients who had died by two-year follow-up were characterized by significantly longer rapid eye movement (REM) sleep latencies at baseline, less robust REM sleep rebound following all-night sleep deprivation, and baseline apnea-hypopnea indexes greater than 3. Logistic regression analysis using the apnea-hypopnea index value and REM latency correctly predicted 77% of survivors and non-survivors. Survival time following initial measurements was significantly correlated with REM sleep time (r = 0.78, p less than .02) and duration of first REM sleep period (r = 0.75, p less than .02). The authors speculate that changes in these predictor variables may indicate impairment in the cholinergic control of cognitive function, REM sleep, and respiratory function.