Dataset Information

Post-Stroke Depression and Cognitive Aging: A Multicenter, Prospective Cohort Study.

ABSTRACT: Background: This study investigated the impact of post-stroke depression (PSD) on cognitive aging in elderly stroke patients. Methods: This study was an interim analysis of the Korean Stroke Cohort for Functioning and Rehabilitation. Among 10,636 patients with first-ever stroke, a total of 3215 patients with normal cognitive function three months post-stroke were included in the analysis. PSD was defined using the Korean Geriatric Depression Scale Short Form (K-GDS-SF) at three months. Cognitive aging was defined as a decline in the Korean version of the Mini-Mental Status Examination (K-MMSE) score to less than the second percentile. Results: The hazard ratio (HR) of PSD for cognitive decline was 2.16 (95% CI, 1.34−3.50, p < 0.01) in the older group (age ≥65 years), and 1.02 (95% CI, 0.50−2.07, n.s.) in the younger group (age <65 years). When the older group was divided by sex, the HR was 2.50 (95% CI, 1.26−4.96, p < 0.01) in male patients and 1.80 (95% CI, 0.93−3.51, n.s.) in female patients. However, women showed a higher incidence of cognitive decline in both the PSD and no PSD groups. Among K-GDS-SF factors, “Negative judgment about the past, present, and future” increased the HR of PSD in older male patients. Conclusions: Early PSD increased the HR for cognitive decline in older stroke patients, mainly in males. Specifically, older male patients with negative thinking were at increased risk of cognitive decline. The findings also suggest that older women may be at risk for cognitive decline. Therefore, preventive interventions for cognitive decline should be tailored differently for men and women.

SUBMITTER: Shin M

PROVIDER: S-EPMC8952332 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Post-Stroke Depression and Cognitive Aging: A Multicenter, Prospective Cohort Study.

Shin Minyoung M Sohn Min Kyun MK Lee Jongmin J Kim Deog Young DY Shin Yong-Il YI Oh Gyung-Jae GJ Lee Yang-Soo YS Joo Min Cheol MC Lee So Young SY Song Min-Keun MK Han Junhee J Ahn Jeonghoon J Lee Young-Hoon YH Chang Won Hyuk WH Shin Seyoung S Choi Soo Mi SM Lee Seon Kui SK Kim Yun-Hee YH

Journal of personalized medicine 20220303 3

Background: This study investigated the impact of post-stroke depression (PSD) on cognitive aging in elderly stroke patients. Methods: This study was an interim analysis of the Korean Stroke Cohort for Functioning and Rehabilitation. Among 10,636 patients with first-ever stroke, a total of 3215 patients with normal cognitive function three months post-stroke were included in the analysis. PSD was defined using the Korean Geriatric Depression Scale Short Form (K-GDS-SF) at three months. Cognitive ...[more]

PMID: 35330389

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Project description:BackgroundPost-stroke depression (PSD) is one of the most common neuropsychiatric diseases in patients with stroke, and it can increase the disability rate, mortality, and recurrence rate of stroke. Currently, many clinical studies have indicated that traditional Chinese medicine (TCM), such as acupuncture and herbs, Western medicine, rehabilitation, repeated transcranial magnetic stimulation, and other treatment methods, are effective in treating PSD. However, no study has formulated a comprehensive treatment plan that integrates TCM, Western medicine, and rehabilitation for PSD. Thus, this trial aims to assess the efficacy and safety of integrative medicine for treating PSD.MethodsThis multicenter, prospective, randomized, controlled study aims to form a set of effective clinical treatment schemes that integrate TCM, Western medicine, and rehabilitation for PSD. A total of 202 participants recruited from four centers will be randomized into either the integrative medicine or standard care group. Standard care-basic treatment, general nursing care, and exercise therapy-will be provided to all participants. The integrative medicine group will also receive acupuncture, Chinese herbs, and repeated transcranial magnetic stimulation (rTMS). Participants will receive acupuncture and rTMS treatments five times per week for 4 weeks and will be administered Chinese herbs, basic treatment, general nursing care, and exercise therapy for 4 weeks. The primary outcomes include the Hamilton Depression Scale (HAMD), Self-Rating Depression Scale (SDS), and Activity of Daily Living Scale (ADL). And the secondary outcomes include the Montreal Cognitive Assessment Scale, the Fugl-Meyer Assessment (FMA) Scale, and the Pittsburgh Sleep Quality Index (PSQI). All outcome measures will be evaluated at baseline, week 4 (the end of the treatment courses), and week 8 (the end of follow-up). Safety assessments will be performed throughout the study.DiscussionThis study is expected to verify the efficacy and safety of integrative medicine for treating PSD, providing an evidence-based clinical reference for the future development of a standardized scheme.Clinical trial registrationClinicalTrials.gov, identifier: NCT05187975.

Project description:BackgroundPost-stroke cognitive impairment (PSCI) is a common consequence of stroke. Accurate prediction of PSCI risk is challenging. The recently developed network impact score, which integrates information on infarct location and size with brain network topology, may improve PSCI risk prediction.AimsTo determine if the network impact score is an independent predictor of PSCI, and of cognitive recovery or decline.MethodsWe pooled data from patients with acute ischemic stroke from 12 cohorts through the Meta VCI Map consortium. PSCI was defined as impairment in ≥ 1 cognitive domain on neuropsychological examination, or abnormal Montreal Cognitive Assessment. Cognitive recovery was defined as conversion from PSCI < 3 months post-stroke to no PSCI at follow-up, and cognitive decline as conversion from no PSCI to PSCI. The network impact score was related to serial measures of PSCI using Generalized Estimating Equations (GEE) models, and to PSCI stratified according to post-stroke interval (<3, 3-12, 12-24, >24 months) and cognitive recovery or decline using logistic regression. Models were adjusted for age, sex, education, prior stroke, infarct volume, and study site.ResultsWe included 2341 patients with 4657 cognitive assessments. PSCI was present in 398/844 patients (47%) <3 months, 709/1640 (43%) at 3-12 months, 243/853 (28%) at 12-24 months, and 208/522 (40%) >24 months. Cognitive recovery occurred in 64/181 (35%) patients and cognitive decline in 26/287 (9%). The network impact score predicted PSCI in the univariable (OR 1.50, 95%CI 1.34-1.68) and multivariable (OR 1.27, 95%CI 1.10-1.46) GEE model, with similar ORs in the logistic regression models for specified post-stroke intervals. The network impact score was not associated with cognitive recovery or decline.ConclusionsThe network impact score is an independent predictor of PSCI. As such, the network impact score may contribute to a more precise and individualized cognitive prognostication in patients with ischemic stroke. Future studies should address if multimodal prediction models, combining the network impact score with demographics, clinical characteristics and other advanced brain imaging biomarkers, will provide accurate individualized prediction of PSCI. A tool for calculating the network impact score is freely available at https://metavcimap.org/features/software-tools/lsm-viewer/.

Dataset Information

Post-Stroke Depression and Cognitive Aging: A Multicenter, Prospective Cohort Study.

Publications

Post-Stroke Depression and Cognitive Aging: A Multicenter, Prospective Cohort Study.

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