Prior Aspirin Therapy, Subsequent Stroke Severity and Mortality and Relationship with Cardiovascular Risk Factors in Patients Admitted to Hospital with Acute Stroke

Heart Drug ◽  
2002 ◽  
Vol 2 (5) ◽  
pp. 221-227 ◽  
Author(s):  
Jagdish C. Sharma ◽  
Sally Fletcher ◽  
Michael Vassallo ◽  
Ian Ross
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Acute Stroke ◽  
Cardiovascular Risk Factors ◽  
Aspirin Therapy ◽  
Stroke Severity

Abstract W P121: Stroke Severity in Men and Women: What Proportion of the Disparity Can Be Explained by Differences in Cardiovascular Risk Factors?

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Karen C Albright ◽  
Amelia K Boehme ◽  
Bisakha Sen ◽  
Monica Aswani ◽  
Michael T Mullen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Sex Differences ◽  
Cardiovascular Risk ◽  
Black Women ◽  
Cardiovascular Risk Factors ◽  
Stroke Severity ◽  
Stroke Subtype ◽  
Oaxaca Decomposition ◽  
Nihss Score

Background: Prior studies have shown that women present with more severe stroke. It has been suggested that sex differences in stroke severity are related to age, stroke subtype, or cardiovascular risk factors. We aimed to determine the proportion of sex disparity in stroke severity that can be explained by differences in these variables using Oaxaca decomposition, an econometric technique which quantifies the differences between groups. Methods: White and Black ischemic stroke patients who presented to two academic medical centers in the US (2004-2011) were identified using prospective stroke registries. In-hospital strokes were excluded. Patient demographics and medical history were collected. Stroke severity was measured by NIHSS. Linear regression was used to determine if female sex was associated with NIHSS score. This model was then adjusted for potential confounders including: age, race, stroke subtype, and cardiovascular risk factors. Oaxaca decomposition was then used to determine the proportion of the observed sex differences in stroke severity that can be explained by these variables. Results: 4925 patients met inclusion criteria. Nearly half (n=2346) were women and 39% (n=1942) were Black. Women presented with more severe strokes (median NIHSS 8 vs. 6). In addition, women were older on average (68 vs. 63 years) with more frequent atrial fibrillation (18% vs. 13%), diabetes (34% vs. 30%), and hypertension (78% vs. 72%). Oaxaca decomposition revealed that age, race, atrial fibrillation, large vessel etiology, diabetes, hypertension account for only 63% of the sex differences seen in NIHSS score on presentation. Conclusion: In our biracial sample, women presented with more severe strokes than men. This difference remained significant even after adjustment for age, stroke subtype, and cardiovascular risk factors. Further, over 1/3 of the observed gender difference in stroke severity was unexplained.. Additional study is warranted to investigate the etiology of the gender differences in stroke severity.

scholarly journals The significant gap between international standards and stroke management practices at Queen Elizabeth Central Hospital (Malawi): An audit report

2019 ◽  
Vol 31 (4) ◽  
pp. 249-255 ◽  
Author(s):  
Yohane Gadama
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Acute Stroke ◽  
Cardiovascular Risk Factors ◽  
Management Practices ◽  
Vital Signs ◽  
Central Hospital ◽  
Stroke Management ◽  
The Mean ◽  
Queen Elizabeth Central Hospital

BackgroundThe Queen Elizabeth Central Hospital (QECH) is preparing to set up the first stroke unit in Blantyre, Malawi. We conducted this audit to assess current stroke management practices and outcomes at QECH and identify priority areas for intervention.MethodsFrom April to June 2018, we prospectively enrolled patients with acute stroke and collected data on clinical presentation, cardiovascular risk factors, investigations and interventions, in-hospital outcomes, and follow-up plans after discharge. The American Heart Association/American Stroke Association (AHA/ASA) guidelines were used as the standard of care for comparison.ResultsFifty patients with acute stroke were enrolled (46% women, 54% men). The mean age was 63.1 years (95% CI: 59.7–66.6). The diagnosis of stroke was based on the World Health Organization criteria. The diagnosis was made within 24 hours of admission in 19 patients (38%). Acute revascularisation therapy was not available. Forty-eight patients (96%) had their vital signs checked at baseline and <10% had their vital signs checked more than three times within the first 24 hours. Essential blood tests including random blood sugar (RBS), full blood count (FBC), urea/creatinine, and lipid profiles were performed in 72%, 68%, 48%, and 4%, respectively. An electrocardiogram was performed on 34 patients (68%). Blood pressure on admission was >140/90 mmHg in 34 patients (68%), including 4 with values >220/120 mmHg. Nine patients had an RBS >10 mmol/L and four received insulin. Prophylaxis for deep venous thrombosis was offered to 12 patients (24%). Aspiration pneumonia was reported in 16 patients (32%) and was the most common hospital complication. The mean duration of hospitalisation was 10.4 days (95% CI: 5.6–15.2), and case fatality was 18%. The modified Rankin scale at discharge was ≤2 in 32% of patients. Only four patients (8%) were transferred to a rehabilitation centre. At the time of discharge, only 32% of patients received education on stroke.ConclusionAcute stroke care is less than optimal in this setting. Simple interventions such as reducing the delay in making a stroke diagnosis, early swallow assessments, and closer monitoring of vital signs could make a significant difference in stroke outcome. Furthermore, treating cardiovascular risk factors and setting up health education programmes to improve secondary prevention represent key priorities.

scholarly journals Associations between cardiovascular risk factors, stroke severity, and post-stroke cognition: a moderated mediation analysis

2021 ◽  
Author(s):  
Jianian Hua ◽  
YIxiu Zhou ◽  
Licong Chen ◽  
Shanshan Diao ◽  
Qi Fang
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Cardiovascular Risk ◽  
Cognitive Function ◽  
Cardiovascular Risk Factors ◽  
Structural Equation ◽  
Moderated Mediation ◽  
Cognitive Test ◽  
Stroke Severity ◽  
Cross Sectional

Introduction: Cognitive impairment may affect one third of the stroke survivors. Cardiovascular risk factors have been described to be risk factors for lower cognition after stroke. However, most previous studies only used multivariate regression models to learn the association. The aim of our study was to investigate whether the effect of cardiovascular risk factors on cognition after stroke was mediated by stroke severity, the estimated effect of direct and indirect pathways, and the moderated association. Method: In this incident cross-sectional study, 300 stroke patients received cognitive test within seven days after stroke. Cognitive tested was performed by the Chinese version of Mini-Mental State Examination (MMSE). A second stage dual moderated mediation model was used the select moderation variables. Finally, we constructed a structural equation model to test the indirect effects of cardiovascular and demographic factors on cognition stroke severity, the direct effects of predictors on cognition, and the moderated effects of hypertension. Results: Age (estimate, -0.114; 95% bias-corrected CI, -0.205, -0.032; P<0.001), female (estimate, -2.196; 95% bias-corrected CI, -4.359, -0.204; P=0.009), lower education (estimate, -0.893; 95% bias-corrected CI, -1.662, --0.160; P<0.001), stroke severity (estimate, -1.531; 95% bias-corrected CI, -3.015, -0.095), hypertension (estimate, -2.242; 95% bias-corrected CI, -4.436, -0.242; P=0.003) and atrial fibrillation (estimate, -4.930; 95% bias-corrected CI, -12.864, -0.126; P=0.048) were directly associated with lower cognitive function after stroke. We found no evidence that cardiovascular risk factors indirectly correlated cognitive function through stroke severity. The combination of hypertension could alleviate the negative effect of atrial fibrillation on cognition (estimate, -3.928; 95% bias-corrected CI, -7.954, 0.029; P=0.009). Conclusions: We explored the complex relationship between cardiovascular risk factors, stroke severity, and cognitive function after stroke. Using our method, researchers using other dataset could repeat the analysis and achieve a better understanding of the relationship. Future researchers are needed to find whether the moderated associations were casual or modifiable.

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