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Comparing two facets of emotion perception across multiple neurodegenerative diseases.
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In: Social cognitive and affective neuroscience, vol 15, iss 5 (2020)
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Depressive Symptom Profiles Predict Specific Neurodegenerative Disease Syndromes in Early Stages.
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Shdo, Suzanne M; Ranasinghe, Kamalini G; Sturm, Virginia E; Possin, Katherine L; Bettcher, Brianne M; Stephens, Melanie L; Foley, Jessica M; You, Shou-Chin Christine; Rosen, Howard J; Miller, Bruce L; Kramer, Joel H; Rankin, Katherine P. - : eScholarship, University of California, 2020
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Abstract:
Background: During early stages, patients with neurodegenerative diseases (NDG) often present with depressive symptoms. However, because depression is a heterogeneous disorder, more precise delineation of the specific depressive symptom profiles that arise early in distinct NDG syndromes is necessary to enhance patient diagnosis and care. Methods and Findings: Five-hundred and sixty four participants self-reported their depressive symptoms using the Geriatric Depression Scale (GDS), including 111 healthy older control subjects (NC) and 453 patients diagnosed with one of six NDGs who were at the mild stage of disease (CDR® Dementia Staging Instrument ≤ 1) [186 Alzheimer's disease (AD), 76 behavioral variant frontotemporal dementia (bvFTD), 52 semantic variant primary progressive aphasia (svPPA), 46 non-fluent variant PPA (nfvPPA), 49 progressive supranuclear palsy syndrome (PSPS), 44 corticobasal syndrome (CBS)]. The GDS was divided into subscales based on a previously published factor analysis, representing five symptoms (dysphoria, hopelessness, withdrawal, worry, and cognitive concerns). Mixed models were created to examine differences in depression subscale by group, and logistic regression analyses were performed to determine if patterns of depressive symptoms could predict a patient's NDG syndrome. PSPS patients presented with a hopeless, dysphoric, and withdrawn pattern, while patients with CBS presented with a similar but less severe pattern. Worry was a key symptom in the profile of patients with svPPA, while ADs only had abnormally elevated cognitive concerns. Depressive profile accurately predicted NDG diagnosis at a rate of between 70 and 84% accuracy. Conclusions: These results suggest that attention to specific depressive symptom profile can improve diagnostic sensitivity and can be used to provide more individualized patient care.
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Keyword:
2.1 Biological and endogenous factors; 7.3 Management and decision making; Acquired Cognitive Impairment; Aging; Alzheimer's; Alzheimer's Disease; Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD); Behavioral and Social Science; Brain Disorders; Clinical Research; Clinical Sciences; Dementia; depression; dysphora; frontotemporal dementia; Frontotemporal Dementia (FTD); hopelessness; Mental Health; Neurodegenerative; neurodegenerative disease; Neurological; Neurosciences; progressive supranuclear palsy; Psychology; Rare Diseases; worry
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URL: https://escholarship.org/uc/item/7d043256
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Utility of the global CDR® plus NACC FTLD rating and development of scoring rules: Data from the ARTFL/LEFFTDS Consortium.
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In: Alzheimer's & dementia : the journal of the Alzheimer's Association, vol 16, iss 1 (2020)
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| 4 |
Depressive Symptom Profiles Predict Specific Neurodegenerative Disease Syndromes in Early Stages.
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Utility of the global CDR® plus NACC FTLD rating and development of scoring rules: Data from the ARTFL/LEFFTDS Consortium.
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In: Alzheimer's & dementia : the journal of the Alzheimer's Association, vol 16, iss 1 (2020)
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