Ischemic stroke mortality and time for hospital arrival: analysis of the first 90 days

Abstract

Objective: To analyze the association between time of arrival at a reference hospital and mortality of people with ischemic stroke. Method: Descriptive and inferential statistics were used. Modifying and confounding variables between time of arrival and mortality were observed in the multivariate analysis. The Akaike Information Criterion was used to choose the model. Statistical significance of 5% and risk correction using the Poisson Model were adopted. Results: Most participants arrived within 4.5 hours of symptom onset or wake up stroke to the referral hospital and 19.4% died. The score of the National Institute of Health Stroke Scale was a modifier. In the multivariate model stratified by scale score ≥14, arrival time >4.5h was associated with lower mortality; and age ≥60 years and having Atrial Fibrillation, to higher mortality. In the model stratified by score ≤13, previous Rankin ≥3, and presence of atrial fibrillation were predictors of mortality. Conclusion: The relationship between time of arrival and mortality up to 90 days was modified by the National Institute of Health Stroke Scale. Prior Rankin ≥3, atrial fibrillation, time to arrival ≤4.5h, and age ≥60 years contributed to higher mortality.

Factors influencing survival outcomes in patients with stroke in Zimbabwe: A 12-month longitudinal study

“…Individuals aged 45-65 and over 65years showed substantially higher hazard ratios compared to those below 45 years. This also aligns with existing studies (5)(6), emphasizing the impact of age on stroke outcomes and reinforces the important need for tailored care strategies that consider the unique needs and challenges associated with different age groups. Tailoring interventions based on age-specific considerations may enhance the effectiveness of stroke care and improve overall survival rates.…”

“…These complexities necessitate the need to understand factors influencing survival outcomes, thus providing a foundation for targeted interventions tailored to the unique socio-economic and healthcare landscape. Age consistently emerges as a pivotal factor influencing stroke outcomes, with individuals over 65 years facing a higher risk of death (5)(6). Furthermore, other studies highlighted the predictive role of old age in stroke incidence, emphasizing the importance of age-related considerations (7) (8).…”

Predictors of Short-Term Mortality in Patients with Ischemic Stroke

“…Additionally, our results are in line with the research conducted by Kortazar-Zubizarreta et al, who conducted a similar study in a single center and reported that a high NIHSS score was one of the main independent predictors of early mortality in ischemic stroke patients [ 26 ]. These findings were further supported by the study conducted by Moraes et al, which showed that a high NIHSS score at admission was significantly associated with early mortality in both ischemic and hemorrhagic stroke patients [ 27 ]. Furthermore, our study contributes to the existing body of literature by demonstrating the prognostic value of the NIHSS score in predicting early mortality in stroke patients.…”

Assessment of the dynamics of stroke morbidity and mortality in the Kyrgyz Republic

“…По данным разных авторов доля недифференцированных инсультов составляла от 18,7% до 29,0%. Недавно была сформирована новая клиническая концепция о том, что большинство кри птогенных инсультов имеют эмболическую этиологию, и было предложено определение эмболическо го инсульта неопределенной этиологии [19,20,22].…”