Predictivity of early depressive symptoms for post-stroke depression

Depression is a frequent complication after stroke. However, little is known about the predictive value of early self-reported depressive symptoms (DS) for later development of post-stroke depression (PSD) 6 months after discharge. Using a prospective longitudinal design, we investigated the prevalence of DS and examined their predictive value for depressive disorders 6 months after stroke while statistically controlling major established PSD risk factors. During inpatient rehabilitation, 96 stroke patients were screened for DS. After 6 months, 71 patients were attainable for a follow-up. Measurements: DS was assessed using the 15-item Geriatric Depression Scale (GDS-15). At follow-up a telephone interview that included the Structured Clinical Interview for Psychiatric Disorders (SCID), which is based on DSM-IV criteria, and the GDS-15 was conducted. Patients with major depression (MD) at the follow-up were considered to have PSD. Regression analyses were conducted to examine the influence of early DS on PSD after 6 months while controlling for age, premorbid depression, and functional and cognitive impairments. The percentage of patients who scored above the GDS-15 cut-off for clinically relevant DS increased significantly, from 37% to 44%, after 6 months. According to the SCID, 27% of stroke patients fulfilled the criteria for MD, and another 16% fulfilled those for minor depression. Logistic regression showed that DS at baseline significantly predicted PSD at follow-up (odds ratio: 1.43; 95% CI: 1.15-1.8). Self-reported DS during inpatient rehabilitation are predictive for PSD 6 months after discharge. Assessment of early DS contributes to identifying stroke patients at risk for PSD, thereby facilitating prevention and treatment.