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Poststroke Cognitive Outcomes: Sex Differences and Contributing Factors.

ABSTRACT: Background The study investigated sex differences in cognitive outcomes at 90 days after first-ever stroke using data from a population-based sample. Methods and Results The study sample consisted of 1227 participants from the 2009-2016 Brain Attack Surveillance in Corpus Christi project (south Texas, United States) who had first-ever ischemic stroke or intracerebral hemorrhage and survived 90 days after stroke. Poststroke cognitive function was assessed by the Modified Mini-Mental State Examination (3MSE) (range: 0-100; dementia: <78). The associations of sex with dichotomized and continuous outcomes were examined using logistic regression and tobit regression, respectively. Inverse probability weighting and multiple imputation were used to deal with missing data. The study sample was evenly distributed by sex, and primarily composed of Mexican Americans (59.1%) and non-Hispanic whites (34.1%). Women scored 2.96 points worse on the 3MSE than men at 90 days poststroke (95% CI, -3.99 to -1.93). The prevalence of dementia was 27.6% for men (95% CI, 23.5%-31.6%) and 35.6% for women (95% CI, 31.5%-39.7%), and the unadjusted odds ratio (OR) of dementia comparing women with men was 1.45 (95% CI, 1.24-1.69). The association was attenuated after adjustment for sociodemographic, stroke, and prestroke characteristics (OR, 0.82; 95% CI, 0.61-1.09). Conclusions Women had worse cognitive outcomes than men at 90 days poststroke. The differences were attributable to sociodemographic and prestroke characteristics, especially widowhood status. Potential mechanisms linking widowhood to dementia in the acute poststroke stage warrant further investigation to inform interventions addressing the unique care needs of women stroke survivors with dementia and cognitive dysfunction.

SUBMITTER: Dong L

PROVIDER: S-EPMC7660722 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Poststroke Cognitive Outcomes: Sex Differences and Contributing Factors.

Dong Liming L Briceno Emily E Morgenstern Lewis B LB Lisabeth Lynda D LD

Journal of the American Heart Association 20200707 14

Background The study investigated sex differences in cognitive outcomes at 90 days after first-ever stroke using data from a population-based sample. Methods and Results The study sample consisted of 1227 participants from the 2009-2016 Brain Attack Surveillance in Corpus Christi project (south Texas, United States) who had first-ever ischemic stroke or intracerebral hemorrhage and survived 90 days after stroke. Poststroke cognitive function was assessed by the Modified Mini-Mental State Examina ...[more]

PMID: 32633589

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Project description:Background and Purpose- Cross sectional analyses have found large race differences in poststroke disability, yet these analyses do not account for prestroke disability, hospitalization factors, postacute care, transitions, or mortality. In this context, we explore mortality, nursing home placement, and disability in a longitudinal analysis of older stroke survivors who survived at least 90 days poststroke. Methods- A prospective cohort of black or white stroke survivors from the National Health and Aging Trends Study (2009-2016) linked to Medicare were used. Disability was assessed during in-person interviews with validated scales (0-7). We used cox proportional hazards models to separately assess mortality and nursing home admission adjusting for age, sex, sociodemographics (marital status, education, income, insurance status, social network size), comorbidities, hospitalization factors, postacute care, and 90-day readmissions. To estimate racial differences in disability, we used a multilevel linear regression model initially adjusting for age and sex and then compared with a model adjusted for sociodemographics, comorbidities, hospitalization factors, postacute care, and 90-day readmissions. Results- There were 282 stroke survivors, of which 76 (12.6%) were black. There were no race differences in long-term mortality (hazard ratio for black, 1.2 [95% CI, 0.7-2.2]; P=0.5) or nursing home placement (hazard ratio for black, 0.7 [95% CI, 0.2-2.4]; P=0.5). The largest race differences in disability were observed immediately prestroke, estimated age- and sex-adjusted activity limitations were (2.6 [2.0-3.2] in blacks versus 1.4 [1.0-1.8] in whites, mean difference, 1.2 [0.5-1.9], P<0.001) and immediately poststroke (2.6 [2.0-3.3] in blacks versus 1.7 [1.2-2.1] in whites, mean difference, 1.0 [0.2-1.7], P<0.01). Full adjustment did not substantially change the associations between race and disability. Conclusions- Race differences in nursing home placement, long-term mortality, sociodemographics, comorbidities, hospitalization factors, postacute care, and readmissions are unlikely to be large contributors to race differences in poststroke disability. Further research is needed to understand the drivers of race differences in poststroke disability.

Project description:OBJECTIVE:To determine if pretreatment nonlinguistic cognition predicted language treatment outcomes and if so, which specific nonlinguistic cognitive subskills predicted naming therapy outcomes. DESIGN:Retrospective. SETTING:Research clinic. PARTICIPANTS:Study 1 included data from 67 persons with aphasia who underwent language treatment and a pretreatment cognitive-linguistic assessment battery (N=67). Study 2 included data from 27 study 1 participants who completed additional pretreatment nonlinguistic cognitive assessments. INTERVENTIONS:120-minute sessions of sentence comprehension (n=26) or naming treatment (n=41) 2 times per week for up to 10-12 weeks. MAIN OUTCOME MEASURES:Proportion of potential maximal gain (PMG) (assessed immediately after treatment [10-12wk]; formula=mean posttreatment score-mean pretreatment score/total number of trained items-mean pretreatment score) and proportion of potential maximal gain maintained (PMGM) (assessed 12wk after posttreatment [22-24wk]; formula=mean maintenance score-mean pretreatment score/total number of trained items-mean pretreatment score) as outcome variables; and pretreatment assessment scores as predictor variables. RESULTS:In study 1, 37% of participants demonstrated nonlinguistic cognitive deficits. Principal component analyses reduced assessment data to 2 components: linguistic and nonlinguistic cognition. Backward elimination regression revealed that higher linguistic and nonlinguistic cognitive function significantly predicted higher PMG after language therapy. In study 2, principal component analysis of only the nonlinguistic cognitive measures identified 3 components: executive function, verbal short-term memory, and visual short-term memory. Controlling for pretreatment apraxia of speech and auditory comprehension deficits, regression analyses revealed that higher executive function and visual short-term memory significantly predicted higher PMG and PMGM after naming therapy. CONCLUSIONS:Pretreatment nonlinguistic cognitive function significantly influenced language treatment outcomes and maintenance of therapy gains.

Project description:OBJECTIVE:We determined whether there are sex differences in the prevalence and profile of HIV-associated neurocognitive impairment, and whether sex moderates the effect of HIV-serostatus on neurocognitive impairment among HIV-positive and HIV-negative individuals. Secondarily, we assessed whether differences were explained by greater biopsychosocial risk factors in HIV-positive women. DESIGN:An observational cohort study. METHODS:Analyses included 1361 HIV-positive (204 women) and 702 HIV-negative (214 women) (ages?=?18-79 years) participants from the UCSD HIV Neurobehavioral Research Program. Demographically corrected standardized T-scores from 15 neuropsychological tests were used to calculate domain-specific and global deficit scores (GDS). GDS at least 0.5 defined neurocognitive impairment. Biopsychosocial risk factors included low education, low reading level (education quality), lifetime substance use disorders, depressed mood (clinically significant depressive symptoms and/or current major depressive disorder) and a cumulative syndemic count (sum of biopsychosocial risk factors, range?=?0-4). Race-stratified analyses were conducted. Analyses were adjusted for relevant demographic and clinical factors. RESULTS:HIV-associated neurocognitive impairment was more prevalent in women versus men; however, the difference was eliminated after adjustment for reading level. In sex-stratified logistic regressions, the association between HIV-seropositivity and higher likelihood of neurocognitive impairment was stronger in women versus men; however, the association was attenuated in women, but not men, after adjusting for reading level. These results in the overall sample were specific to blacks. Sex differences in the profile of HIV-associated neurocognitive impairment varied by race. CONCLUSION:Women, particularly black women, were most at-risk for HIV-associated neurocognitive impairment. Higher rates of HIV-associated neurocognitive impairment in women versus men may reflect differences in educational quality.

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Poststroke Cognitive Outcomes: Sex Differences and Contributing Factors.

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Poststroke Cognitive Outcomes: Sex Differences and Contributing Factors.

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