Clinical Outcome of Ischemic Stroke in Old Patients Versus Oldest-Old

Survival status and predictors of mortality among adult Stroke patients admitted to Jimma University Medical Center, South west Ethiopia: A retrospective Cohort study

Background

Stroke is the leading cause of cardiovascular disease death in sub-Saharan Africa and the second leading cause of mortality worldwide. In 2016, 6.23% of all fatalities in Ethiopia were stroke-related.

Objective

To assess survival status and predictors of mortality among adult stroke patients admitted to Jimma University Medical Center from April 1/2017 to March 31/2022.

Methods

A retrospective cohort study was conducted on 480 adult stroke patients selected by simple random sampling from patients admitted to the Jimma University Medical Center Stroke Unit from April 1, 2017 to March 31, 2022. Data were extracted from May to June 2022 and entered Epi-data v.3.1 and analyzed by R v.4.2. The Kaplan-Meier curve with Log rank test was used to estimate survival time and to compare survival experience between categories of explanatory variables. The Cox regression model was computed to identify predictors of survival status in stroke patients. Then the 95% CI of the hazard ratio was set with corresponding p-value < 0.05 to declare statistical significance.

Results

During 4350 person-days of follow-up; 88 (18.33%) patients died; resulting in an incidence mortality of 20.23 per 1000 person-days, with a median survival time of 38 days. Glasgow coma score <8 on admission (AHR = 7.71; 95% CI: 3.78, 15.69), dyslipidemia (AHR = 3.96; 95% CI: 2.04, 7.69), aspiration pneumonia (AHR 2.30; 95% CI: 1.23-4.26), and increased intracranial pressure (AHR = 4.27; 95% CI: 2.33, 7.81), were the independent predictors of the time until death.

Conclusion

The incidence of stroke mortality was higher at the seven and fourteen days. Glasgow Coma Scale, increased intracranial pressure, dyslipidemia, and aspiration pneumonia were independent predictors of mortality.

Monitoring risk and preventing ischemic stroke in the very old

INTRODUCTION

Stroke is a significant cause of death, and the leading cause of severe long-term disability for individuals over 80 (the very old), yet few studies of such risk factors for ischemic stroke, or the known mitigation techniques, in this population, and the evidence base regarding risk modification strategies in this susceptible population can be inconsistent and incomplete. This article examines current guidelines and evidence regarding medical management, lifestyle changes, and psychosocial interactions that can contribute to the primary and secondary prevention of ischemic stroke in the very old.

AREAS COVERED

The authors conducted a literature search for ischemic stroke prevention and risk assessment in the elderly via PubMed. Furthermore, they describe current strategies for monitoring risk and preventing ischemic stroke in the elderly population.

EXPERT OPINION

Ischemic stroke poses a significant health risk to the elderly, with prevention relying on managing modifiable risk factors such as hypertension, atrial fibrillation, diabetes, and high cholesterol, as well as promoting healthy lifestyle choices like quitting smoking, regular physical activity and a heart-healthy diet. Healthcare providers must adopt a multifaceted approach, addressing individual and population-level factors while remaining vigilant in monitoring and managing risk factors to reduce the incidence and impact of stroke in older adults.

Survival of Stroke Patients According to Hypertension Status in Northern Ethiopia: Seven Years Retrospective Cohort Study

Background

Globally, stroke appears as a major cause of preventable deaths and disabilities. In Ethiopia, the intra-hospital mortality of stroke is significant; however, epidemiologic data are scarce whether there is a difference in the overall survival time between hypertensive and non-hypertensive adult stroke patients admitted in specialized hospitals. This study was intended to determine the survival of stroke patients according to their hypertension status admitted in Ayder Comprehensive Specialized Hospital, Northern Ethiopia from March 1, 2012, to February 28, 2019.

Methods and Findings

A hospital-based retrospective cohort study was conducted among all cohorts of confirmed first-ever stroke patients admitted in Ayder Comprehensive Specialized Hospital, Northern Ethiopia. Kaplan–Meier survival analysis was applied to estimate the survival probability of hypertensive and non-hypertensive first-ever stroke patients. Cox proportional hazards regression model was used to determine the adjusted hazard ratio of death for each main baseline predictor variable with 95% CI, and P-value <0.05 was used to declare statistical significance. The assumptions of the Cox proportional hazards regression model assessed by the global test, Schoenfeld residuals. There were 503 (323 were hypertensive, 180 Non-hypertensive) confirmed first, ever adult stroke patients, the overall median age of the patients was 65 years, IQR (53–75) years. Seventy-five (14.9%) of them were dead, with a median survival time of 48 days and 428 (85.1%) of them were censored. At any particular point in time, the hazard of death among hypertensive patients was two times higher than non-hypertensive patients, but this was not found to be a statistically significant (adjusted HR=2.13: 95% CI 0.66–6.81). Glasgow Coma Scale 3–8 at admission (adjusted HR=10.12; 95% CI 2.58–40.68), presence of stroke complications (adjusted HR=7.23; 95% CI 1.86–28.26) and borderline high total cholesterol level (adjusted HR=3.57; 95% CI 1.15–11.1) were the only independent predictors of intra-hospital patient mortality.

Conclusion

The overall survival time difference between hypertensive and non-hypertensive first-ever adult stroke patients was not statistically significant. Early identification and treatment of stroke complications, co-morbidities along strict follow-up of comatose patients may improve the intra-hospital survival of stroke patients, and we also recommend community-based studies using a large sample size.

Predicting ambulatory recovery in acute ischemic stroke patients with thrombolytic therapy

Aim: The aim of this study was to determine the predictive value of clinical presentations on functional ambulation following thrombolytic therapy. Materials & methods: Logistic regression analysis was used to determine associations between functional ambulation and thrombolytic therapy. Results & conclusion: In the results, Hispanic ethnicity (odds ratio (OR): 2.808; p = 0.034; 95% CI: 1.08–7.30), high National Institute of Health Stroke Scale (NIHSS) (OR: 1.112; p ≤ 0.001; 95% CI: 1.06–1.17), weakness/paresis (OR: 1.796; p = 0.005; 95% CI: 1.19–2.71), Broca’s aphasia (OR: 1.571; p = 0.003; 95% CI = 1.16–2.12) and antihypertensive medication (OR: 1.530; p = 0.034; 95% CI: 1.03–2.26) were associated with an improved ambulation in patients without thrombolytic therapy. In thrombolytic treated patients, Broca’s aphasia was associated with improved functional outcome.

Diffusion-weighted imaging (DWI) ischemic volume is related to FLAIR hyperintensity-DWI mismatch and functional outcome after endovascular therapy

BACKGROUND

We assessed whether diffusion-weighted imaging (DWI) volume was associated with fluid-attenuated inversion recovery vascular hyperintensities (FVH)-DWI mismatch and functional outcome in patients with acute stroke who received endovascular therapy (EVT).

METHODS

Fifty-three acute stroke patients who received EVT were enrolled. FVH-DWI mismatch, DWI volume on admission, DWI volume on follow-up, DWI volume growth, the functional outcome at 3 months (mRS) and other clinical data were collected. Receiver operating characteristic (ROC) analysis was performed to evaluate the value of DWI volume in predicting functional outcome after stroke.

RESULTS

The FVH-DWI mismatch group had a smaller DWI volume on admission (13.86±19.58 vs. 65.07±52.21; t=-4.301, P=0.000), a smaller DWI volume on follow-up (29.88±33.52 vs. 112.43±87.19; t=-4.143, P=0.000), and a lower DWI volume growth (16.02±19.90 vs. 47.36±40.06; t=-3.326, P=0.003) than those of the no FVH-DWI mismatch group. The good functional outcome group had a smaller DWI volume on admission (13.30±13.26 vs. 68.56±54.28; t=-5.611, P=0.000), a smaller DWI volume on follow-up (27.65±18.80 vs. 120.25±90.37; t=-5.720, P=0.000), lower DWI volume growth (14.35±15.06 vs. 51.69±41.17; t=-4.737, P=0.001) and a higher FVH-DWI mismatch ratio (75.76% vs. 35%; t=8.647; P=0.004) than those of the poor functional outcome group. ROC analysis showed that the sensitivity and specificity of DWI volume on admission for predicting functional outcome were 65% and 96.97%, respectively (the optimal cut-off value: 33.50 mL); DWI volume on follow-up was 48.6 mL, with a sensitivity and specificity of 80% and 87.88%, respectively; DWI volume growth was 22.25 mL, with a sensitivity and specificity of 70% and 87.88%, respectively.

CONCLUSIONS

DWI volume and DWI volume growth can provide the prognostic information of acute stroke patients after thrombectomy.