Long-Term Trends in Stroke Management and Burden Among Low-Income Women in a Rural Area From China (1992-2019): A Prospective Population-Based Study

The relationship between social and psychological factors with cognitive impairment after stroke: a prospective study

Objectives

To investigate the association between social and psychological factors and the risk of cognitive impairment following acute ischemic stroke.

Materials and methods

A prospective study was conducted at Shanghai Tenth People's Hospital from June 2021 to July 2022. The study focused on social and psychological factors, which were assessed using the Social Support Rating Scale (SSRS), Self-Perceived Burden Scale (SPBS), and Hamilton Depression Scale (HAMD) within 3 days after admission to the hospital. Cognitive function was evaluated using the Montreal Cognitive Assessment at 3 months post-stroke. Logistic hierarchical regression models were used to examine the association between these three indicators and cognitive impairment following a stroke.

Results

Among these patients, cognitive function was assessed in 211 cases at the 3-month follow-up after the initial stroke event. At 3 months post-stroke, 118(55.9%) of the participants experienced cognitive impairment, while 93(44.1%) did not. The scores on the SPBS and HAMD showed significant associations with cognitive impairment at 3 months after stroke. The scores of SPBS [scores: 30~39 vs.<20 points, odds ratio (OR)=2.993 (1.135-7.896); scores: ≥40 vs.<20points, OR=7.382 (1.117-48.799); P=0.043] and the HAMD [scores: >7 vs.≤7 points, OR=3.287(1.362~7.936); P=0.008]. There were no significant associations observed between SSRS and PSCI.

Conclusion

Early screening for depressive symptoms and focusing on self-perceived burden can be beneficial for decision support for clinicians and improve cognitive function recovery at the 3-month mark post-stroke.

Stroke in women between 2006 and 2018: Demographic, socioeconomic, and age disparities

BACKGROUND

Black Americans have a higher prevalence of stroke and stroke-related deaths than any other racial group. Racial disparities in stroke outcomes are even wider among women than men. Conventional studies have cited differences in lifestyle (i.e. smoking, alcohol consumption, etc.) and vascular risk factors between races as the source of these disparities. However, these studies fail to account for the higher prevalence of minoritized populations at the lower end of the socioeconomic distribution.

OBJECTIVES

This study explores differences in stroke risk factors across age and socioeconomic cohorts to determine whether comorbidities can sufficiently explain disparities at all ages and income levels.

DESIGN

Using the 2006-2018 National Health Interview Survey data, statistical analysis evaluated differences in risk factors among a full sample cohort (aged 18-85 years; n = 131,091) and a "young" subsample cohort (aged 18-59 years; n = 6183) of women.

METHODS

Logistics and unconditional quantile regression models assessed the relationship between stroke and comorbid, demographic, and behavioral characteristics across socioeconomic classes.

RESULTS

Results suggest that Black women had a 1.415-fold (confidence interval = 1.259, 1.591) higher likelihood of stroke compared with White women after controlling for age, behavior, and comorbidities. Racial disparities were not statistically significant at the higher income ranges for either the full (odds ratio = 1.404, p = 0.3114) or young samples (odds ratio = 1.576, p = 0.7718). However, Blacks had significantly higher odds of stroke in the lower quartiles (lower odds ratio: 1.329, p = 0.0242; lower middle odds ratio: 1.233, p = 0.0486; and upper middle odds ratio: 1.994, p = 0.0005). Disparities were larger among young women (odds ratio = 1.449, confidence interval = 1.211, 1.734).

CONCLUSION

While comorbidities were highly associated with stroke prevalence in all socioeconomic cohorts, Blacks only had higher relative odds in the lower income classes. Lack of biological or behavioral explanations for these findings suggests that unobserved or uncontrolled factors such as systemic racism, prejudicial institutions, or differential treatment may contribute to this.

Relationship between mean corpuscular volume and 30-day mortality in patients with intracerebral hemorrhage: Evidence from the MIMIC-III database

Previous studies have shown that mean corpuscular volume (MCV) levels are associated with the prognosis of patients with cardiovascular disease. However, the relationship between MCV levels and mortality in patients with intracerebral hemorrhage (ICH) remains unclear. Patients with ICH were extracted from the Medical Information Mart for Intensive Care-III database. The primary outcome measure was 30-day mortality. Multivariate Cox regression analysis was used to investigate the relationship between MCV at admission and 30-day mortality in ICH patients. We enrolled 1100 patients with ICH. After adjustment for potential confounders, we found that a 1 unit increase in MCV (fl) was associated with a 3% increase in 30-day mortality (HR = 1.03, 95% CI = 1.01-1.05, P = .0015). High MCV (MCV ≥ 92 fl) compared with the low MCV group (MCV < 87 fl) showed a 46% increase of 30-day mortality (HR = 1.46, 95% CI = 1.10-1.92 P = .008). In subgroups analysis's the results remained stable. We demonstrated that MCV at admission was positively associated with 30-day mortality. The Kaplan-Meier (KM) method was used to plot survival curves of three groups with different admission MCV levels.