Burden, clinical outcomes and predictors of time to in hospital mortality among adult patients admitted to stroke unit of Jimma university medical center: a prospective cohort study

Knowledge, Attitude, Skill, and Practice of Emergency Nurses Regarding the Early Management of Patients With Acute Ischemic Stroke in Beijing

INTRODUCTION

Emergency nurses play an important role in the early management of acute ischemic stroke. The purpose of this study was to evaluate the knowledge, attitudes, skills, and practice of emergency nurses in Beijing regarding the early management of acute ischemic stroke.

METHODS

This cross-sectional study enrolled emergency nurses in 26 hospitals in Beijing between August and November 2022. Correlations among knowledge, attitude, and skill/practice were evaluated by Pearson correlation analysis.

RESULTS

This study included 564 nurses (82.98% were female). The average knowledge, attitude, and skill/practice scores were 15.48 ± 2.39 (possible range, 0-22), 39.84 ± 4.89 (possible range, 9-45), and 40.59 ± 5.21 (possible range, 13-52). The knowledge was significantly positively correlated with attitude and skill/practice (all P< .001). There was also a positive correlation between attitude and skill/practice (P< .001).

DISCUSSION

These findings may facilitate the implementation of education/training programs to improve the early management of acute ischemic stroke by nurses in emergency departments.

A Prospective Study of Stroke Characteristics, Risk Factors, and Mortality in a Tertiary Hospital of Northern Ethiopia

Background

As developing countries experience the epidemiologic transition to chronic diseases, morbidity and mortality from stroke is expected to rise. Stroke and other non-communicable diseases are increasing in Ethiopia but prospective data are scarce and there are not enough data regarding the characteristics, risk factors and mortality of stroke.

Objective

Aimed at determining the risk factors, clinical profiles and treatment outcomes of stroke admissions in Ayder Comprehensive Specialized Hospital, Tigray, Ethiopia.

Methods

This is a prospective cross-sectional study of all adult stroke patients admitted over consecutive 12 months period in medical ward and ICU of Ayder Comprehensive sSpecialized Hospital, northern Ethiopia. Medical residents through a pre-designed questionnaire collected data. Monovariate analysis, bivariate analysis and multivariate analysis to control for confounder variables were done using software SPSS version 26. P < 0.05 was considered statistically significant.

Results

There were 272 stroke admissions to medical ward and ICU over the 1-year period. Stroke comprised 13.05% of total medical admissions. Ischemic stroke accounted for 62.9% of stroke admissions. Stroke in the young accounted for 14.7% of all stroke admissions. Hypertension was the most common risk factor identified, found in 51.8%. Diabetes mellitus and atrial fibrillation were the other common risk factors. The in-hospital mortality was 13.6%. The only independent predictor of mortality identified was presence of complications, AOR [95% CI] of 2.4 [1.4, 5.3], P-value of 0.028. Aspiration pneumonia was the most common complication.

Conclusion

This study showed a high burden of stroke among medical admissions in northern Ethiopia. Being the most common risk factor for stroke, the high burden of undiagnosed and untreated hypertension needs special attention and efforts on community awareness should be enhanced. The relatively higher mortality illustrates the need to establish stroke centers to enhance the quality of stroke care.

Development and internal validation of a clinical risk score for in-hospital mortality after stroke: a single-centre retrospective cohort study in Northwest Ethiopia

OBJECTIVE

To develop and validate a clinical risk score for in-hospital stroke mortality.

DESIGN

The study used a retrospective cohort study design.

SETTING

The study was carried out in a tertiary hospital in the Northwest Ethiopian region.

PARTICIPANTS

The study included 912 patients who had a stroke admitted to a tertiary hospital between 11 September 2018 and 7 March 2021.

MAIN OUTCOME MEASURES

Clinical risk score for in-hospital stroke mortality.

METHODS

We used EpiData V.3.1 and R V.4.0.4 for data entry and analysis, respectively. Predictors of mortality were identified by multivariable logistic regression. A bootstrapping technique was performed to internally validate the model. Simplified risk scores were established from the beta coefficients of predictors of the final reduced model. Model performance was evaluated using the area under the receiver operating characteristic curve and calibration plot.

RESULTS

From the total stroke cases, 132 (14.5%) patients died during the hospital stay. We developed a risk prediction model from eight prognostic determinants (age, sex, type of stroke, diabetes mellitus, temperature, Glasgow Coma Scale, pneumonia and creatinine). The area under the curve (AUC) of the model was 0.895 (95% CI: 0.859-0.932) for the original model and was the same for the bootstrapped model. The AUC of the simplified risk score model was 0.893 (95% CI: 0.856-0.929) with a calibration test p value of 0.225.

CONCLUSIONS

The prediction model was developed from eight easy-to-collect predictors. The model has excellent discrimination and calibration performance, similar to that of the risk score model. It is simple, easily remembered, and helps clinicians identify the risk of patients and manage it properly. Prospective studies in different healthcare settings are required to externally validate our risk score.

The Burden and In-Hospital Mortality of Stroke Admissions at a Tertiary Level Hospital in Namibia: A Retrospective Cohort Study

Background

Despite stroke being a leading cause of morbidity and mortality globally, there is a dearth of information on the burden and outcomes of stroke in sub-Saharan Africa and Namibia in particular.

Methods

A hospital-based, retrospective cohort study was conducted to analyse non-electronic medical records of all consecutive stroke patients who were admitted to one of the highest tertiary-level hospitals in Namibia for 12 months (2019-2020). The primary outcome of the study was to establish the in-hospital mortality, stroke subtypes, and associated complications.

Results

In total, 220 patients were included in the study, their mean age was 53 (SD13.8) years, and 55.5% were males. 61.0% had an ischaemic stroke (IS), and 39.0% had a haemorrhagic stroke (HS). The mean age was significantly lower in patients with HS vs. IS (48.2 ± 12.2 vs. 56.1 ± 13.3, p < 0.001). Of the IS patients, the majority (29.0%) had total anterior circulation infarct (TACI), while in the HS group, 34.0% had basal ganglia haemorrhage with or without intraventricular extension. Hypertension (p = 0.015), dyslipidaemia (p = 0.001), alcohol consumption (p = 0.022), and other cardiovascular diseases (p = 0.007) were more prevalent in patients with IS compared to those with HS. The prevalence rate of intravenous thrombolysis was 2.2% in IS and use of intravenous antihypertensives in 25.9% of patients with HS than IS. The in-hospital mortality was 26.4% with complications such as raised ICP, aspiration pneumonia, hydrocephalus, and sepsis significantly high in those that died. Aspiration pneumonia (OR 2.79, 95% CI 1.63-4.76, p < 0.001) and increased ICP (OR 0.30, 95% CI 0.16-057, p < 0.001) were independent predictors of in-hospital mortality on the multivariate analysis.

Conclusion

Our findings showed a younger mean age for stroke and mortality rate comparable to other low- to middle-income countries (LMICs). Hypertension and alcohol consumption were the main risk factors for both stroke subtypes, while aspiration pneumonia and raised intracranial pressure predicted in-hospital mortality.

In-hospital treatment outcomes of acute stroke and determinant factors in a teaching hospital in eastern Ethiopia

Objective

To assess the in-hospital mortality of acute stroke and determinant factors in a teaching hospital in eastern Ethiopia.

Method

A retrospective review of medical records of patients admitted to Hiwot Fana Specialized University Hospital was conducted. Adult patients aged 18 years and older with a diagnosis of either ischemic or hemorrhagic stroke were included. Data were analyzed using SPSS version 21.0 (SPSS Inc., Chicago, IL, USA). Multiple logistic regression analysis was used to identify predictors of in-hospital mortality.

Result

A total of 112 patients with acute stroke were included in the study and 56.0% of them were of hemorrhagic stroke. The mean age was 60.32 years and 61.6% were male. The mean length of hospitalization and the mean time of presentation from symptoms onset were 4.85 days and 33.64 h, respectively. The in-hospital mortality was 36.8% for ischemic stroke and 27% for hemorrhagic stroke. Aspiration pneumonia (35.0%), cerebral edema (17%), and seizure (14.3%) were the most common complications occurring during hospitalization. Atrial fibrillation (adjusted odds ratio = 15.45, 95% confidence interval: 1.089-219.2; p = 0.043) was the independent predictor of in-hospital mortality.

Conclusion

Hemorrhagic stroke was predominant in the study sample. One-third of patients died in the hospital and the mortality rate was slightly higher in patients with ischemic stroke. Atrial fibrillation was the predominant risk factor for hospital mortality from acute stroke. There is a need to promote cardiovascular health, early recognition, and management of risk factors, and implement coordinated stroke care services to reduce premature death from stroke.

Risk profile, clinical presentation, and determinants of stroke subtypes among patients with stroke admitted to public referral hospitals, Northwest Ethiopia in 2021: A cross-sectional study

Background

Stroke is the second leading cause of death worldwide, with a significant increase in stroke burden over the last two and half decades, especially in developing countries. African countries are undergoing an epidemiological transition from being dominated by infectious diseases to being double-burdened by non-communicable diseases, with existing infectious diseases driven by sociodemographic and lifestyle changes and a weak healthcare system. Data on the risk profile, clinical presentation, and predictors of stroke subtypes are still limited. Therefore, the main aim of this study was to assess the risk profile, clinical presentation, and predictors of stroke in public referral hospitals of Northwest Ethiopia.

Methods

For this study, 554 patients with stroke admitted to three public referral hospitals were prospectively followed up. Data were collected using a pre-tested interviewer-administered questionnaire. STATA version 16 was used for data analyses. Candidate variables significant in bivariate analysis were selected for multivariate binary logistic regression, and statistical significance was set at a p &lt; 0.05.

Results

Of the 554 patients with stroke, 60.3% had an ischemic stroke. The mean age of the participants was 61 ± 12.85 years, and more than half (53.25%) of them were women. The most common risk factor identified was hypertension (29.7%), followed by congestive heart failure. The most common clinical presentation was hemiparesis, which was reported by 57.7% of the patients, followed by loss of consciousness (20.7%) and aphasia (9%). Through multivariable logistic regression, age (AOR = 1.03, 95% CI:1.01–1.05), sedentary physical activity level (AOR = 6.78, 95% CI:1.97–23.32), absence of a family history of chronic illness (AOR = 3.79, 95% CI:2.21–6.48), hypertension (AOR=0.51, 95% CI:0.31–0.85), and past stroke (AOR = 3.54, 95% CI:0.93–13.49) were found to be independent determinants of the stroke subtype.

Conclusion

Age, the level of sedentary physical activity, absence of a family history of chronic illness, hypertension, and past stroke were independent determinants of stroke subtype.

Factors associated with stroke associated pneumonia among adult stroke patients admitted to university of Gondar hospital, Northwest Ethiopia

Stroke is the major cause of disability and death in sub-Saharan African countries. The presence and severity of complications play a major role in the outcome of stroke. Stroke associated pneumonia is often noticed post stroke infection that has been linked to an increased risk of hospital mortality, a longer hospital stay and higher healthcare expenses. Report on details of stroke-associated pneumonia has never been documented in countries of sub-Saharan Africa. This study aimed to determine the incidence and risk factors of stroke-associated pneumonia among adult stroke patients in hospital settings, Northwest Ethiopia. The study was undertaken at a stroke care unit, University of Gondar hospital between January 1, 2020 and December 31, 2020. A convenience sampling method was used to recruit study subjects. Relevant clinical history was taken, focused physical examination was done, and brain imaging (CT scan or MRI) was performed to settle the diagnosis of stroke. A modified Centre for Disease Control and Prevention (CDC) criteria was used to diagnose stroke-associated pneumonia. All patients with stroke-associated pneumonia were treated according to the 2016 Infectious Diseases Society of America/American Thoracic Society Clinical Practice Guidelines. The Data were cleaned in Epi Info version 4.6.0.2, and analyzed using SPSS version 26. Variables associated with stroke-associated pneumonia were computed using logistic regression analysis. P value < 0.05 was considered to declare statistical significance. The study comprised a total of 325 adult stroke patients. The mean age of study subjects was 65.2 years (SD ± 15.7). The most prevalent type of stroke was ischemic stroke, which accounted for 68% of all cases. Hemiparesis (94%), facial palsy (87%), and swallowing disturbance (51%) were the frequently noticed neurological findings. Stroke-associated pneumonia complicated 116/325 (36%) of stroke patients. Multi-variate regression analysis revealed that patients who were elderly (age > 75 years) (AOR = 3.910, CI 1.181-12.936, P = 0.026), had swallowing disturbance (AOR = 4.656, CI 2.356-9.202, P-value < 0.001), epileptic seizures (AOR = 2.678, 95% CI 1.253-5.721, P-value < 0.001) and moderate to severe stroke (NIHSS score = 16-21) (AOR = 5.994, 95% CI 2.043-17.585, P-value < 0.001) were at risk of developing stroke-associated pneumonia. SAP was a substantial medical complication among stroke patients. Early identification and prompt intervention measures for the identified risk factors might address the burden of SAP.

Magnitude and Predictors of In-Hospital Stroke Mortality in Ethiopia: A Systematic Review and Meta-Analysis

Introduction

Stroke is the second leading cause of mortality worldwide, accounting for approximately 5.5 million deaths each year. Due to demographic and health changes, the epidemiology of stroke is shifting from industrialized to low- and middle-income nations. Ethiopia is a developing country with a population that reflects this shift. Therefore, this systematic review and meta-analysis are aimed at evaluating the extent of in-hospital mortality of both ischemic and hemorrhagic stroke in Ethiopia and determining relevant factors associated with the mortality.

Methods

Observational studies published as of July 15, 2020, that reported the magnitude, predictors, and causes of in-hospital mortality of stroke were systematically and comprehensively retrieved using the PRISMA 2020 criteria from databases such as PubMed/MEDLINE, Science Direct, and Google Scholar. The review papers were chosen based on the study methodology (facility-based observational), the study area (Ethiopia), the study population (adult patients with stroke), the outcome (in-hospital mortality), and the fact that they were published in English.

Result

A total of 3709 patients with stroke were included in this systematic review and meta-analysis, which included 19 publications. In-hospital mortality was 14.03 percent on average in the studies, with reports ranging from 6.04 percent to 37.37 percent. Patients with hemorrhagic type stroke, admission Glasgow Coma Scale less than or equal to 12, impaired mental status, National Institutes of Health Stroke Scale stroke level greater than 13, prolonged hospital stay, any incontinence, pneumonia, and/or swallowing trouble had an increased risk of death after stroke.

Conclusion

The magnitude of in-hospital mortality of patients with stroke in Ethiopia is high. The assessment of the level of consciousness is vital for clinical management and as an indicator of prognosis. Patients with unfavorable prognostic signs, such as entry Glasgow Coma Scale, National Institutes of Health Stroke Scale stroke level > 13, hemorrhagic stroke, pneumonia, incontinence, and dysphagia, should be given priority.

Predictors of stroke favorable functional outcome in Guinea, results from the Conakry stroke registry

Low- to middle-income countries (LMICs) now bear most of the stroke burden. In LMICs, stroke epidemiology and health care systems are different from HICs. Therefore, a high-income country (HIC)-based predictive model may not correspond to the LMIC stroke context. Identify the impact of modifiable variables in acute stroke management in Conakry, Guinea as potential predictors of favorable stroke outcome. Data were extracted from the Conakry stroke registry that includes 1018 patients. A logistic regression model was built to predict favorable stroke outcomes, defined as mRS 0–2. Age, admission NIHSS score, mean arterial blood pressure and capillary glycemia were chosen as covariates. Delay to brain CT imaging under 24 h from symptom onset, fever, presence of sores and abnormal lung auscultation were included as factors. NIHSS score on admission, age and ischemic stroke were included in the null model as nuisance parameters to determine the contribution of modifiable variables to predict stroke favorable outcome. Lower admission NIHSS, brain CT imaging within 24 h of symptoms onset and lower mean arterial blood pressure emerged as a significant positive predictors of favorable stroke outcome with respective odd ratios (OR) of 1.35 [1.28–1.43], 2.1 [1.16–3.8] and 1.01 [1.01–1.04]. The presence of fever or sores impacted negatively stroke favorable outcomes with OR of 0.3 [0.1–0.85] and 0.25 [0.14–0.45]. The area under receiver operating characteristic curves (AUC) of the model was 0.86. This model explained 44.5% of the variability of the favorable stroke outcome with 10.2% of the variability explained by the modifiable variables when admission NIHSS, and ischemic stroke were included in the null model as nuisance parameter. In the Conakry stroke registry, using a logistic regression to predict stroke favorable outcome, five variables that led to an AUC of 0.86: admission NIHSS, early brain CT imaging, fever, sores and mean blood pressure. This paves the way for future public health interventions to test whether modulating amendable variables leads to increased favorable stroke outcomes in LMICs.

The burden of stroke and modifiable risk factors in Ethiopia: A systemic review and meta-analysis

BACKGROUND

The burden and contribution of modifiable risk factors of stroke in Ethiopia are unclear. Knowledge about this burden and modifying risk factors is pivotal for establishing stroke prevention strategies. In recent decades, the issue of lifestyle and behavioral modification is a key to improve the quality of life. The modifiable risk factors are an importance as intervention strategies aimed at reducing these factors can subsequently reduce the risk of stroke. So far, many primary studies were conducted to estimate the burden of stroke and modifiable risk factors in Ethiopia. However, the lack of a nationwide study that determines the overall pooled estimation of burden and modifiable risk factors of stroke is a research gap.

METHODS

To conduct this systemic review and meta-analysis, we are following the PRISMA checklist. Three authors searched and extracted the data from the CINAHL (EBSCO), MEDLINE (via Ovid), PubMed, EMcare, African Journals Online (AJOL), and Google scholar. The quality of the primary study was assessed using the Newcastle-Ottawa Scale (NOS) by two independent reviewers. The primary studies with low and moderate risk of bias were included in the final analysis. The authors presented the pooled estimated burden of stroke and its modifiable risk factors. The registered protocol number in PROSPERO was CRD42020221906.

RESULTS

In this study, the pooled burden of hemorrhagic and ischemic stroke were 46.42% (95%CI: 41.82-51.53; I2 = 91.6%) and 51.40% (95%CI: 46.97-55.82; I2 = 85.5%) respectively. The overall magnitude of modifiable risk factor of hypertension, alcohol consumption and dyslipidemia among stroke patients were 49% (95%CI: 43.59, 54.41), 24.96% (95CI%:15.01, 34.90), and 20.99% (95%CI: 11.10, 30.88), respectively. The least proportion of stroke recovery was in the Oromia region (67.38 (95%CI: 41.60-93.17; I2 = 98.1%). Farther more, the proportion of stroke recovery was decreased after 2017 (70.50 (56.80-84.20).

CONCLUSIONS

In our study, more than 90% of stroke patients had one or more modifiable risk factors. All identified modifiable stroke risk factors are major public health issues in Ethiopia. Therefore, strategy is designed for stroke prevention to decrease stroke burden through targeted modification of a single risk factor, or a cluster of multiple risk factors, used on a population, community, or individual level.

Pharmacotherapy Pattern and Treatment Outcomes of Stroke Patients Admitted to Jimma University Medical Center, Ethiopia

Background

Despite the fact that stroke has been reported as one of the top three leading causes of death and morbidity in Ethiopia, there are limited data regarding the management of stroke and clinical outcomes. Hence, the present study aimed to evaluate the pharmacotherapy of stroke and factors associated with poor treatment outcomes.

Methods

A retrospective cross-sectional study was conducted at Jimma University Medical Center (JUMC) among adult stroke patients managed from 2014 to 2017. Clinical characteristics, treatment, and outcomes data were analyzed by using SPSS version 21. Multivariable logistic regression was performed to identify the predictors of poor treatment outcomes. Two-sided P < 0.05 was accepted as statistically significant.

Results

A total of 153 illegible patient cases were included in this study. The majority, 111 (72.5%), were male and the mean age of the patients was 57±13.7 years. Among 153 stroke patients, 112 (73.2%) patients presented with ischemic stroke. Aspirin and statins (78.6%) were the most commonly used treatment among ischemic stroke patients, whereas enalapril was used in about (43%) of stroke patients to treat high blood pressure. About 61 (40%) stroke patients had poor treatment outcomes; of this, 36 (23.5%) died in hospital. Older age (AOR = 1.034; 95% CI: 1.003–1.069), history of heart failure (AOR = 4.26; 95% CI: 1.58–11.48), loss of consciousness diabetes (AOR = 3.05 95% CI: 1.25–7.44), and aspiration pneumonia (AOR = 5.94; 95% CI: 2.46–14.32) were significantly associated with poor treatment outcomes.

Conclusion

Overall, treatment of stroke patients was sub-optimal and almost half of the patients had poor treatment outcomes. Availing of thrombolytic therapy, devising appropriate preventive measures of risk factors (hypertension), and decreasing preventable complication such as aspiration pneumonia could improve patient outcomes.

The Survival Status and Predictors of Mortality Among Stroke Patients at North West Ethiopia

INTRODUCTION

Stroke is one of the commonest non-communicable disease types that has a great public health impact both in developed and developing countries. However, in Ethiopia, the long-term survival status of stroke patients is not very understood. This study aimed at assessing survival status and predictors of mortality among stroke patients at Felege Hiwot comprehensive specialized hospital from September 1, 2014, to August 31, 2019, Bahirdar, North West Ethiopia.

METHODS

An institutional-based retrospective cohort study was conducted using 368 registered stroke patients between September 1, 2014, and August 31, 2019. We used Kaplan-Meier together with a Log-rank test to compare the survival rate of the study participants using categorical variables and to compare covariate and both bi-variable and multivariable Cox proportional hazards regression analysis model was conducted to identify predictors of mortality among stroke patients. The association between outcome and independent variables was expressed using an adjusted hazard ratio (AHR) with a 95% confidence interval and statistical significances were declared at P-value of <0.05.

RESULTS

Fifty-six (15.2%) of the 368 stroke patients included in the study died, and 312 (84.8%) were correctly censored. The overall survival rate was 72.2% at 51 months of follow-up with a median survival time of 0.26 months. Age greater than 65 (AHR 6.31, 95% CI 1.75-22.74), body temperature >7.1 degree centigrade (AHR = 7.14, 95% CI: 2.76-18.5), potassium level below <2 mmol/l (AHR = 2, 95% CI: 1.9-23.53) and creatinine level >1.2 mg/dl (AHR = 7.85, 95% CI: 2.7-22.6) were predictive predictors of mortality.

CONCLUSIONS

In the follow-up of 51 months, significant mortality occurred. Important predictive predictors of survival status were identified. Interventions should be focused on health education and awareness creation of the community for the early management of stroke.

Clinical pattern and predictors of stroke treatment outcome among hospitalised patients who had a stroke at Felege Hiwot comprehensive specialised hospital, northwest Ethiopia: a retrospective cross-sectional study

OBJECTIVES

This study aimed to assess the clinical pattern and predictors of stroke treatment outcomes among hospitalised patients in Felege Hiwot comprehensive specialised hospital (FHCSH) in northwest Ethiopia.

DESIGN

A retrospective cross-sectional study.

SETTING

The study was conducted medical ward of FHCSH.

PARTICIPANTS

The medical records of 597 adult patients who had a stroke were included in the study. All adult (≥18 years) patients who had a stroke had been admitted to the medical ward of FHSCH during 2015-2019 were included in the study. However, patients with incomplete medical records (ie, incomplete treatment regimen and the status of the patients after treatment) were excluded in the study.

RESULTS

In the present study, 317 (53.1%) were males, and the mean age of the study participants was 61.08±13.76 years. About two-thirds of patients (392, 65.7%) were diagnosed with ischaemic stroke. Regarding clinical pattern, about 203 (34.0%) of patients complained of right-side body weakness and the major comorbid condition identified was hypertension (216, 64.9%). Overall, 276 (46.2%) of them had poor treatment outcomes, and 101 (16.9%) of them died. Patients who cannot read and write (AOR=42.89, 95% CI 13.23 to 111.28, p<0.001), attend primary school (AOR=22.11, 95% CI 6.98 to 55.99, p<0.001) and secondary school (AOR=4.20, 95% CI 1.42 to 12.51, p<0.001), diagnosed with haemorrhagic stroke (AOR=2.68, 95% CI 1.62 to 4.43, p<0.001) and delayed hospital arrival more than 24 hours (AOR=2.92, 95% CI 1.83 to 4.66, p=0.001) were the independent predictors of poor treatment outcome.

CONCLUSIONS

Approximately half of the patients who had a stroke had poor treatment outcomes. Ischaemic stroke was the most predominantly diagnosed stroke type. Education status, types of stroke and the median time from onset of symptoms to hospitalisation were the predictors of treatment outcome. Health education should be given to patients regarding clinical symptoms of stroke. In addition, local healthcare providers need to consider the above risk factors while managing stroke.

Risk factors, clinical outcomes and predictors of stroke mortality in Sierra Leoneans: A retrospective hospital cohort study

Background

Stroke data from Sierra Leone is limited, despite the increase in global burden of the disease. The aim of this study was to assess the risk factors, clinical outcomes and predictors of stroke mortality at a tertiary hospital in Freetown, Sierra Leone.

Methods

This retrospective cohort study was conducted on stroke patients admitted at the Connaught Teaching Hospital between 1st January to December 31, 2018. Clinical data related to stroke, with variables including patients’ demographics, stroke subtype, vascular risk factors, modified Rankin Scale (mRS), and outcomes were documented. In-hospital mortality, associated risk factors and predictors of stroke were determined. The study was approved by the Sierra Leone Ethics and Scientific Review Committee. It was registered under Research Registry https://www.researchregistry.com/browse-the-registry#home/with the unique identifying number researchregistry6009.

Result

We studied 178 (95 male and 83 female) patients. The mean age was 59.8 ± 14.0 years, median was 58.1years (ranging: 29–88 years). The commonest risk factors were hypertension (84.3%), tobacco smoking (35.9%) and alcohol (31.4%). Ischemic stroke confirmed by CT scan was 76.3%. In-hospital mortality was 34.8% and at discharge, mean modified Rankin Score (mRS) was 3.89 ± 1.62. The independent predictors for stroke mortality were: hypertension [AOR = 2.2; C.I 95%: (1.32–3.80), p = 0.001], previous stroke [AOR = 2.31; C.I 95%: (1.43–5.74), p = 0.001], GCS < 8 [AOR = 6.06; C.I 95%: (3.17–12.79), p < 0.001], clinical diagnosis in the absence of imaging [AOR = 3.11; C.I 95%: (2.1–9.87), p = 0.001], hemorrhagic stroke [AOR = 2.96; C.I 95%: (1.96–9.54), p < 0.001], and aspiration pneumonia [(AOR = 3.03; C.I 95%:(1.44–6.36), p = 0.001]. Women had poorer outcome than men.

Conclusion

This study highlights a high stroke mortality in a resource limited hospital, with some stroke patients having difficulties in accessing Computer Tomogram (CT) scan services. It illustrates the need to establish a stroke care setting to improve the quality of stroke care.

•

Globally, sub-Saharan Africa (SSA) has the highest incidence and case-fatality from stroke.

•

In Sierra Leone, the dearth of stroke data limits the access to evidence-based standards of stroke care.

•

We reported a high in-hospital stroke mortality, with majority of the deaths occurring in the first week, and this is comparable to some reported studies from SSA.

•

The poor control of hypertension and aspiration pneumonia are major but avoidable contributors to poor stroke outcomes in SSA.

Stroke care and outcomes in the Department of Neurology in Parakou, Benin: Retrospective cohort study

Introduction

Stroke is one of the most common causes of high mortality rates in Africa with many unknown aspects around its prognosis. In this study we aim to describe stroke characteristics and in-hospital mortality of stroke in Parakou.

Methods

This is a retrospective cohort study including all stroke patients admitted to the Department of Neurology at Parakou Teaching Hospital from January 1, 2013 through to December 31, 2019. Clinical data, vascular risk factors, stroke subtype and outcome data were recorded. The in-hospital case-fatality and its associated factors were determined. The study was approved by the Local Ethics Committee of Biomedical research and has been registered under the unique indentifying number researchregistry5687 and is available at https://www.researchregistry.com/browse-the-registry#home/.

Results

Stroke cases represented 51.5% of all patients. There were 372 patients included in the study with a mean age of 58.2 ± 14.2 years. The sex ratio was 1:3. Ischemic stroke accounted for 40.3%, intracerebral hemorrhage 30.4%, and unknown 29.3%. The main vascular risk factors were hypertension (69.1%), alcoholism (23.9%) and diabetes mellitus (16.9%). The mean NIHSS at admission was 9.4 ± 5.7 and the length of hospital stay was 9.0 ± 7.3. The most common complications recorded during the acute phase were swallowing disorders (10.2%), pneumonia (9.1%) and urinary tract infections (8.3%). The in-hospital case fatality was 6.2% and was associated with loss of consciousness (p = 0.0001), high NIHSS on admission (p = 0.001), fever (p = 0.0001), swallowing disorders (p = 0.001) and leukocytosis (p = 0.021). On discharge, 27.6% were independent and 97.8% were on antihypertensive drugs.

Conclusion

The in-hospital stroke mortality was close to that reported by other studies in Africa.

30-day and 60-day rates and predictors of mortality among adult stroke patients: Prospective cohort study

Stroke is one of the most common medical emergencies and the leading cause of preventable death and long-term disability worldwide. A prospective cohort study was conducted at the stroke unit of Jimma university medical center for four consecutive months (from March 10 to July 10, 2017). Of the total 116 study patients, 60 (51.7%) had an ischemic stroke. At 30-day follow-up, 81 (69.8%) patients were alive, 34 (29.3%) were died, and one patient (0.9%) was lost to follow-up. Elevated alanine aminotransferase (ALT) level (AHR: 3.77, 95% CI: 1.34-10.57), diagnosis of stroke clinically alone (AHR: 3.90, 95 CI: 1.49-10.26), brain edema (AHR: 4.28, 95% CI: 1.61-11.37), and National Institute of Health Stroke Scale (NIHSS) ≥ 13 during hospital arrival (AHR: 6.49, 95% CI: 1.90-22.22) were the independent predictors of 30-day mortality. At 60-day follow-up, 68 (58.6%) patients were alive, 46 (39.7%) were died, and 2 (1.7%) were lost to follow-up. Discharge against medical advice (AHR: 6.40, 95% CI: 2.31-17.73) and severe modified Rankin score/mRS (4-5) at discharge (AHR: 3.64, 95% CI: 1.01-13.16) were the independent predictors of 60-day mortality. The median (IQR) length of survival after hospital admission for patients died within 30 and 60 days were 4.65 (2.34-11.80) and 9.3 (3.93-33) days, respectively. Stroke significantly affects the morbidity and mortality in Ethiopia. There is a need to provide better care and future planning for stroke patients as an emergency diagnosis and treatment to minimize mortality and disability.

Stroke ICU Patient Mortality Day Prediction

This article presents a study on development of methods for analysis of data reflecting the process of treatment of stroke inpatients to predict clinical outcomes at the emergency care unit. The aim of this work is to develop models for the creation of validated risk scales for early intravenous stroke with minimum number of parameters with maximum prognostic accuracy and possibility to calculate the time of “expected intravenous stroke mortality”. The study of experience in the development and use of medical information systems allows us to state the insufficient ability of existing models for adequate data analysis, weak formalization and lack of system approach in the collection of diagnostic data, insufficient personalization of diagnostic data on the factors determining early intravenous stroke mortality.

In our study we divided patients into 3 subgroups according to the time of death - up to 1 day, 1 to 3 days, and 4 to 10 days. Early mortality in each subgroup was associated with a number of demographic, clinical, and instrumental-laboratory characteristics based on the interpretation of the results of calculating the significance of predictors of binary classification models by machine learning methods from the Scikit-Learn library. The target classes in training were “mortality rate of 1 day”, “mortality rate of 1–3 days”, “mortality rate from 4 days”. AUC ROC of trained models reached 91% for the method of random forest. The results of interpretation of decision trees and calculation of significance of predictors of built-in methods of random forest coincide that can prove to correctness of calculations.

Management protocols and encountered complications among stroke patients admitted to stroke unit of Jimma university medical center, Southwest Ethiopia: Prospective observational study

Objectives

The number of stroke patients receiving recombinant tissue plasminogen activator (r-tPA) in developing world is extremely low. Pre-hospital delay, financial constraints and lack of infrastructure are the main barriers. Additionally, various medical, neurological and psychological complications are allied to stroke patients after the acute attack. Hence, the study was aimed to identify management protocols and encountered complications among stroke patients admitted to stroke unit of Jimma university medical center (JUMC).

Patients and methods

Prospective observational study was conducted at stroke unit of JUMC from March 10 to July 10, 2017. All eligible consecutive stroke patients of ≥18 years were included. Data was entered to Epi data version 3.1 and analyzed using SPSS version 20.

Results

A total of 116 eligible stroke patients were followed with mean age of 55.14 ± 14.04 years and males comprised of 62.9%. Using world health organization (WHO) criteria, 60 (51.7%) patients had ischemic while 56 (48.3%) had hemorrhagic stroke. During admission, 93 (80.2%) patients had developed at least one complication. The most complication was brain edema (increased intracranial pressure) detected in about one third of the patients (30.2%) followed by urinary incontinence (28.4%) and aspiration pneumonia (19.8%). Almost half of the patients (52.5%) had at least one past medication history. During hospitalization, 111(95.7%) of patients had received at least one medication and the median start time of the medications after hospital arrival was 15 h. The most common medication given for the patients during hospitalization were antiplatelets and statins for 63 (54.3%) patients. During discharge, about 78 (67.2%) patients had received medications and antihypertensives were the prominent medications prescribed for half of the discharged patients.

Conclusion

Both neurologic and medical complications were common in majority of stroke patients. But the management protocol for stroke patients was sub-optimal and lagging behind the recommended guidelines due to lack of skilled personnel, appropriate treatment and diagnostic agents. The clinical team involved in the care of stroke patients should make preparations to take preventive measures that will save a lot of lives.