AbstractBackgroundDepressive symptoms in elderly are common, but the persistence of depressive symptoms in older adults with and without cognitive impairment (CI) is less studied. Accumulation of depressive symptoms over time might be a sign of developing chronic depressive course and therefore increased risk for cognitive decline and dementia. The aim of the present study was to assess patterns of depressive symptom accumulation over time among older adults, and to explore the association between the course of depressive symptoms over time and demographic and clinical characteristics at baseline.MethodA data‐driven approach was used to cluster ADNI participants based of their longitudinal Geriatric Depression Scores (GDS‐15). We leveraged modern time‐series analysis techniques including the Dynamic Time Warping and Dynamic Barycenter Averaging as the clustering generation technique. ADNI participants were clustered to data‐driven groups presenting with unique time course of depressive symptom accumulation.ResultWe ran a search for the optimal number of clusters using the silhouette score as the indicator of a strong clustering. This resulted in the generation of 3 unique profiles with differing patient demographics. Specifically, 1st group presented with the lowest baseline depressive symptoms (GDS=0.44±0.61) and stayed stable over the course of ADNI study (GDS=1.03±1.25). P2nd group presented with slightly elevated depressive symptoms at baseline (GDS=1.78±1.10) and accumulated depressive symptoms (GDS=2.74±2.05). In contrast, 3rd group presented with significant depressive symptoms (GDS=3.80±1.42) and accumulated more symptoms over time (GDS=4.50±2.56). Although groups did not different in age at the baseline or prevalence of females, patients that have CI, indicated by both the clinical diagnosis and the patient's Clinical Dementia Rating, are more likely to have higher GDS scores and are at higher risk of developing depressive symptoms (i.e., baseline CI prevalence of 40% in Group 1 compared to 74% and 75% in Groups 2 and 3, respectively).ConclusionThe data shows that there are differences in the persistence of the depressive symptoms in elderly population with and without CI. Identifying individuals that are more susceptible to depressive symptom accumulation might significantly improved patient outcomes and higher quality of life.
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