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

Low serum alanine aminotransferase (ALT) levels are associated with poor outcomes in acute ischemic stroke patients regardless of age

Studies have indicated that reduced serum ALT levels are commonly linked to aging and are known to predict poor outcomes in many clinical conditions as potential frailty indicators. There are close connections between the brain and peripheral organs, particularly the liver. In patients with acute ischemic stroke (AIS), the interactive effects may change ALT levels, which in turn influence stroke outcomes. Whether ALT has potential neuroprotective effects or is an indicator of frailty in AIS patients remains unknown. This retrospective analysis examined 572 AIS patients in Beijing Luhe Hospital between August 2020 and June 2021. Patient demographics and laboratory results were assembled. The National Institutes of Health Stroke Scale (NIHSS) was used to analyze stroke severity. Modified Rankin Score (mRS) determined stroke outcome 3 months after AIS, with mRS≤2 indicating a favorable outcome. Based on serum ALT measurements, patients were classified into three tertiles (T1-T3). Binary logistic regression analysis evaluated the correlation between ALT tertiles and AIS outcomes. Of the patients, 66 exhibited unfavorable outcomes. The median ALT level in this group was 13 (IQR: 11-18.25), which was lower than in the favorable outcomes cohort (16; IQR: 11-22). A decline in ALT corresponded with a higher incidence of poor outcomes at 3 months (T1, 15.5 %; T2, 11.4 %; T3, 7.0 %; p = 0.03). The lowest ALT tertile (T1) was independently linked to an adverse 3-month outcome (OR 2.50 95 %CI 1.24-5.07, p = 0.038) compared to the highest tertile. ALT levels demonstrated no correlation with age (T1, 62.59 ± 12.64; T2, 64.01 ± 11.47; T3, 65.12 ± 11.27; p > 0.05). Regardless of age, lower serum ALT levels are independently associated with poorer outcomes in AIS patients. This finding suggests the potential pivotal part of the liver in AIS outcomes, highlighting the need to consider both neurological and liver functions post-stroke.

Epidemiology, clinical features and outcome of stroke in rural versus urban hospitals in Cameroon

OBJECTIVES

Stroke is a major public health problem worldwide with disparities between urban and rural areas. The aim of this study was to compare the epidemiological, clinical features and outcomes of stroke between rural and urban hospitals in Cameroon.

MATERIALS AND METHODS

We conducted a retrospective cohort study at the Douala General Hospital (urban) and Ad Lucem Hospital of Banka (rural) from January 1st, 2014, to December 31st, 2019. The medical records of all patients admitted for stroke, and meeting the inclusion criteria were reviewed. Diagnosis of stroke was based on brain imaging and/or the World Health Organization definition. Data were analyzed using SPSS version 20.0.

RESULTS

Among the 15277 files reviewed, 752 were included with 623 cases (82.80%) in urban areas. The percentage of patients hospitalized for stroke were 9.06% and 2.85% in urban and rural hospitals respectively. The frequency of patients admitted for severe stroke (Glasgow coma scale ≤ 8) was higher in the rural hospital (p = 0.004). In-hospital mortality (p = 0.010), cumulative mortality at one-month (p = 0.018), poor functional recovery (p = 0.002), one-year stroke recurrence (p = 0.020) were significantly higher in rural setting. Undefined stroke was predictor of mortality in the rural hospital, while hemorrhagic stroke was predictor of mortality at one-month in the urban hospital.

CONCLUSIONS

Stroke cases were significantly more severe with poor outcomes in the rural hospital. Efforts are needed to improve prevention, and access to stroke care for communities, especially in rural setting.

30-day in-hospital stroke case fatality and significant risk factors in sub-Saharan-Africa: A systematic review and meta-analysis

Existing studies investigating 30-day in-hospital stroke case fatality rates in sub-Saharan Africa have produced varying results, underscoring the significance of obtaining precise and reliable estimations for this indicator. Consequently, this study aimed to conduct a systematic review and update of the current scientific evidence regarding 30-day in-hospital stroke case fatality and associated risk factors in sub-Saharan Africa. Medline/PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), APA PsycNet (encompassing PsycINFO and PsychArticle), Google Scholar, and Africa Journal Online (AJOL) were systematically searched to identify potentially relevant articles. Two independent assessors extracted the data from the eligible studies using a pre-tested and standardized excel spreadsheet. Outcomes were 30-day in-hospital stroke case fatality and associated risk factors. Data was pooled using random effects model. Ninety-three (93) studies involving 42,057 participants were included. The overall stroke case fatality rate was 27% [25%-29%]. Subgroup analysis revealed 24% [21%-28%], 25% [21%-28%], 29% [25%-32%] and 31% [20%-43%] stroke case fatality rates in East Africa, Southern Africa, West Africa, and Central Africa respectively. Stroke severity, stroke type, untyped stroke, and post-stroke complications were identified as risk factors. The most prevalent risk factors were low (<8) Glasgow Coma Scale score, high (≥10) National Institute Health Stroke Scale score, aspiration pneumonia, hemorrhagic stroke, brain edema/intra-cranial pressure, hyperglycemia, untyped stroke (stroke diagnosis not confirmed by neuroimaging), recurrent stroke and fever. The findings indicate that one in every four in-hospital people with stroke in sub-Saharan Africa dies within 30 days of admission. Importantly, the identified risk factors are mostly modifiable and preventable, highlighting the need for context-driven health policies, clinical guidelines, and treatments targeting these factors.

Low-Intensity Focused Ultrasound Neuromodulation for Stroke Recovery: A Novel Deep Brain Stimulation Approach for Neurorehabilitation?

Stroke as the leading cause of adult long-term disability and has a significant impact on patients, society and socio-economics. Non-invasive brain stimulation (NIBS) approaches such as transcranial magnetic stimulation (TMS) or transcranial electrical stimulation (tES) are considered as potential therapeutic options to enhance functional reorganization and augment the effects of neurorehabilitation. However, non-invasive electrical and magnetic stimulation paradigms are limited by their depth focality trade-off function that does not allow to target deep key brain structures critically important for recovery processes. Transcranial ultrasound stimulation (TUS) is an emerging approach for non-invasive deep brain neuromodulation. Using non-ionizing, ultrasonic waves with millimeter-accuracy spatial resolution, excellent steering capacity and long penetration depth, TUS has the potential to serve as a novel non-invasive deep brain stimulation method to establish unprecedented neuromodulation and novel neurorehabilitation protocols. The purpose of the present review is to provide an overview on the current knowledge about the neuromodulatory effects of TUS while discussing the potential of TUS in the field of stroke recovery, with respect to existing NIBS methods. We will address and discuss critically crucial open questions and remaining challenges that need to be addressed before establishing TUS as a new clinical neurorehabilitation approach for motor stroke recovery.

IScore, a useful prognostic tool for patients with acute ischemic stroke treated with intravenous thrombolysis: a validation study

BACKGROUND

 Stroke is one of the major causes of disability and mortality worldwide. Up to 30% of individuals who experience stroke die within 30 days, and more than 50% of those who survive will have some degree of disability. There are some predetermining factors based on admission data that could be used to objectively assess the odds of poor outcomes, including the Ischemic Stroke Predictive Risk Score (IScore).

OBJECTIVE

 To analyze and validate the IScore in patients undergoing intravenous thrombolysis for stroke and compare the results of this predictor with actual death and disability outcomes.

METHODS

 In a retrospective study, data were collected from a database housed at the Stroke Unit of the Teaching Hospital of Universidade Federal do Paraná, Southern Brazil. The IScore was applied to admission data from 239 patients, and the results were compared with actual outcomes (death and disability) within 30 days and 1 year after the stroke event. Data analysis was performed using an analysis of the receiver operating characteristic (ROC) curve to determine the sensitivity and specificity of the IScore in the study population.

RESULTS

 The IScore demonstrated moderate sensitivity and high specificity in patients with stroke who underwent thrombolysis when evaluated after 30 days and 1 year of the event.

CONCLUSIONS

 The IScore can be applied to in stroke patients undergoing thrombolysis; therefore, it may be used as an objective prognostic tool to guide clinical decision-making. Understanding the prognosis of patients in the acute phase can assist clinicians in making the best therapeutic decisions and enable better end-of-life care.

Case fatality rate and its determinants among admitted stroke patients in public referral hospitals, Northwest, Ethiopia: A prospective cohort study

According to the global burden of disease 5.5 million deaths were attributable to stroke. The stroke mortality rate is estimated to be seven times higher in low-income countries compared to high-income countries. The main aim of the study was to assess the 28 days case fatality rate and its determinants among admitted stroke patients in public referral hospitals, in Northwest Ethiopia. A hospital-based prospective cohort study was conducted from December 2020 to June 2021. The study population was 554 stroke patients. Based on Akakian Information Criteria, the Gompertz model was fitted to predict the hazard of death. The study included admitted stroke patients who were treated in the general medical ward and neurology ward. The mean age of the participants was 61 ± 12.85 years and 53.25% of the patients were female. The 28-days case fatality rate of stroke was 27.08%. The results from Gompertz parametric baseline hazard distribution revealed that female sex adjusted hazard rate (AHR = 0.27, 95% CI:0.18–0.42), absence of a family history of chronic disease (AHR = 0.50, 95%CI:0.29–0.87), good GCS score (AHR = 0.21, 95% CI:0.09–0.50) and the absence of complication during hospital admission (AHR = 0.16, 95% CI:0.08–0.29) were factors which decrease hazard of 28 days case fatality rate. While, hemorrhagic stroke sub-type (AHR = 1.38, 95% CI:1.04–3.19), time from symptom onset to hospital arrival (AHR = 1.49, 95% CI:1.57–2 .71), time from confirmation of the diagnosis to initiation of treatment (AHR = 1.03, 95% CI:1.01–1.04), a respiratory rate greater than 20 (AHR = 7.21, 95% CI:3.48–14.9), and increase in NIHSS score (AHR = 1.16, 95% CI:1.10–1.23) were factors increasing hazard of 28 days case fatality rate of stroke. At 28-days follow-up, more than one-fourth of the patients have died. The establishment of separate stroke centers and a network of local and regional stroke centers with expertise in early stroke evaluation and management may address challenges.

In-hospital mortality and its predictors among adult stroke patients admitted in Debre Markos Comprehensive Specialized Hospital, Northwest Ethiopia

Introduction

Stroke is the second-leading global cause of death next to ischemic heart disease. The burden of stroke mortality, morbidity, and disability is increasing across the world. In Ethiopia, evidence on the survival status of adult stroke patients is insufficient. The purpose of this study is to estimate in-hospital mortality and its predictors among adult stroke patients.

Methods

Institution-based retrospective follow-up study was conducted on adult stroke patients who were admitted to Debre Markos Comprehensive Specialized Hospital from 1 November 2015 to 31 October 2020. Through simple random sampling, 382 patient charts were selected from 1125 stroke patients for 5 years follow-up period. Data were entered using EpiData™ version 4.1 and exported to Stata/SE™ version 14 for cleaning, coding, categorizing, and analysis. Predictor variables were selected using 95% confidence interval with a corresponding adjusted hazard ratio.

Results

In this study, 219 (57.33%) males and the mean (standard deviation) age of 57.65 ± 14.3 years. The in-hospital mortality rate of stroke was 12.8%; the median (interquartile range) time to mortality and Glasgow Coma Scale were 7 (4-13) days and 14 (11-15), respectively. The incidence of in-hospital mortality was 29/1000, 11/1000, 8/1000, and 13.6/1000 person-days in the first, second, third, and end of follow-up weeks, respectively. Pneumonia (adjusted hazard ratio = 3.51 (95% confidence interval = 1.86, 6.61)), hemorrhagic stroke (adjusted hazard ratio = 2.03 (95% confidence interval = 1.03, 3.99)), moderate impairment Glasgow Coma Scale (9-12) (adjusted hazard ratio = 2.16 (95% confidence interval = 1.08, 4.29)), severe impairment Glasgow Coma Scale (3-8) (adjusted hazard ratio = 2.38 (95% confidence interval = 1.01, 5.67)), history of hypertension (adjusted hazard ratio = 2.01 (95% confidence interval = 1.08, 3.74)), and increased intracranial pressure (adjusted hazard ratio = 2.12 (95% confidence interval = 1.10, 4.07)) were statistically significant predictors for in-hospital mortality.

Conclusion

In-hospital mortality of stroke was relatively high, and the median time to mortality was 8 days. Pneumonia, hemorrhagic stroke, Glasgow Coma Scale, history of hypertension, and increased intracranial pressure were identified predictors.

The association between frailty of older stroke patients during hospitalization and one-year all-cause mortality: A multicenter survey in China

Objective

Frailty is a common geriatric syndrome defined as multiple deficits, impairing the capacity to figure out insult. Previous studies have reported a significant association between frailty and mortality in stroke patients. This study aimed to explore the association between frailty and mortality among older Chinese stroke patients.

Methods

This study was a secondary analysis of a multicenter prospective cohort study conducted in older Chinese inpatients from October 2018 to February 2020, and patients with a primary diagnosis of stroke including hemorrhage and ischemia, were included in our study. Frailty of older inpatients with stroke from six hospitals was measured by the FRAIL scale, and a one-year follow-up was performed by well-trained nurses of these hospitals via telephone. Multivariable logistic regression was used to detect the association between frailty and one-year mortality.

Results

A total of 530 stroke patients with an average age of 72.94 (SD = 5.79) years were included in the present study. There were 37 (7.0%) hemorrhagic strokes and 493 (93.0%) ischemic strokes, with 228 (43.0%) females in this population. The prevalence of frailty was 22.5%. In the logistic regression model with adjustment for age, sex, instrumental activities of daily living (IADL), basic activities of daily living (ADL), education, history of falls, BMI, smoking, alcohol consumption, low handgrip strength, type of stroke and polypharmacy, stroke patients with frailty had an increased risk of one-year mortality compared to those without frailty (OR = 3.38, 95% CI: 1.22–9.37, P = 0.019).

Conclusion

Our study indicated that frailty was an independent risk factor for one-year all-cause mortality among older stroke patients in China. Frailty may be an essential factor for clinicians to consider before making a comprehensive treatment, and corresponding mixed interventions, including exercise training and nutritional programs, need to be conducted among older stroke patients.

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.

Predictors of death within 6 months of stroke onset: A model with Barthel index, platelet/lymphocyte ratio and serum albumin

AIMS

To develop and internally validate a nomogram to predict the risk of death within 6 months of onset of stroke in Chinese. Identifying risk factors with potentially direct effects on the nomogram will improve the quality of risk assessment and help nurses implement preventive measures based on patient-specific risk factors.

DESIGN

A retrospective study.

METHODS

We performed a least absolute shrinkage and selection operator (LASSO) regression modelling and multivariate logistic regression analysis to establish a prediction model of death risk in stroke patients within 6 months of onset. LASSO and time-dependent Cox regression models were further used to analyse the 6-month survival of stroke patients. Data were collected from 21 October 2013-6 May 2019.

RESULTS

The independent predictors of the nomogram were Barthel index (odds ratio (OR) = 0.980, 95% confidence interval (CI) = 0.961-0.998, p = .03), platelet/lymphocyte ratio (OR = 1.005, 95% CI = 1.000-1.010, p = .04) and serum albumin (OR = 0.854, 95% CI = 0.774-0.931, p < .01). This model showed good discrimination and consistency, and its discrimination evaluation C-statistic was 0.879 in the training set and 0.891 in the internal validation set. The DCA indicated that the nomogram had a higher overall net benefit over most of the threshold probability range. The time-dependent Cox regression model established the impact of the time effect of the age variable on survival time.

CONCLUSIONS

Our results identified three predictors of death within 6 months of stroke in Chinese. These predictors can be used as risk assessment indicators to help caregivers performing clinical nursing work, and in clinical practice, it is suggested that nurses should evaluate the self-care ability of stroke patients in detail. The constructed nomogram can help identify patients at high risk of death within 6 months, so that intervention can be performed as early as possible.

Cell-free nucleic acid patterns in disease prediction and monitoring-hype or hope?

Interest in the use of cell-free nucleic acids (CFNAs) as clinical non-invasive biomarker panels for prediction and prevention of multiple diseases has greatly increased over the last decade. Indeed, circulating CFNAs are attributable to many physiological and pathological processes such as imbalanced stress conditions, physical activities, extensive apoptosis of different origin, systemic hypoxic-ischemic events and tumour progression, amongst others. This article highlights the involvement of circulating CFNAs in local and systemic processes dealing with the question, whether specific patterns of CFNAs in blood, their detection, quantity and quality (such as their methylation status) might be instrumental to predict a disease development/progression and could be further utilised for accompanying diagnostics, targeted prevention, creation of individualised therapy algorithms, therapy monitoring and prognosis. Presented considerations conform with principles of 3P medicine and serve for improving individual outcomes and cost efficacy of medical services provided to the population.