H.S.M.NG1, L.G.CHAN1, O.H.CHAN1, L.MOHAPATRA1, N.D.LIM1
Tan Tock Seng Hospital1
The present study aims to explore the clinical correlates (e.g. demographic and cognitive functioning variables) and neuroimaging correlates (e.g. hemisphere of lesion and nature of stroke)of post-stroke mood disorder in a large local Singaporean sample.
Patients in Tan Tock Seng Hospital within 30 days of experiencing acute stroke were eligible and were excluded if they had delirium, aphasia, mental illnesses, or history of substance abuse. Apart from demographic data (e.g. age, gender, education), the Hospital Anxiety and Depression Scale (HADS) and the Patient Healthcare Questionnaire – 9 (PHQ-9) and the Functional Independence Measure (FIM) were administered. Patients screening positive for the PHQ-9 (≥9) , HADS depressive subscale (≥7)or the HADS overall (≥10) were determined to have post-stroke mood disorder.
Data was available for 664 stroke patients. Stepwise logistic regression analysis on neuroimaging characteristics revealed that right hemisphere strokes and recurrent strokes significantly predicted mood disorder (p <0.05, R2=0.024). Clinical correlates that include unskilled employment, smoking, younger age, and lower FIM motor scores also significantly predicted mood disorders (p<0.05, R2=0.103)
The study is the first to explore both clinical and neuroimaging correlates and its association with post-stroke mood disorder in a large and robust Singaporean sample. Further longitudinal studies are required to observe how these factors can affect the rehabilitative process in the long term.