Stroke onset to needle delay: Where these golden hours are lost? An Egyptian center experience

The Urban-Rural Divide in Neurocritical Care in Low-Income and Middle-Income Countries

The term "urban-rural divide" encompasses several dimensions and has remained an important concern for any country. The economic disparity; lack of infrastructure; dearth of medical specialists; limited opportunities to education, training, and health care; lower level of sanitation; and isolating effect of geographical location deepens this gap, especially in low-income and middle-income countries (LMICs). This article gives an overview of the rural-urban differences in terms of facilities related to neurocritical care (NCC) in LMICs. Issues related to common clinical conditions such as stroke, traumatic brain injury, myasthenia gravis, epilepsy, tubercular meningitis, and tracheostomy are also discussed. To facilitate delivery of NCC in resource-limited settings, proposed strategies include strengthening preventive measures, focusing on basics, having a multidisciplinary approach, promoting training and education, and conducting cost-effective research and collaborative efforts. The rural areas of LMICs bear the maximum impact because of their limited access to preventive health services, high incidence of acquired brain injury, inability to have timely management of neurological emergencies, and scarcity of specialist services in a resource-deprived health center. An increase in the health budget allocation for rural areas, NCC education and training of the workforce, and provision of telemedicine services for rapid diagnosis, management, and neurorehabilitation are some of the steps that can be quite helpful.

Delays in receiving Alteplase and related factors in patients with stroke referred to Shahid Beheshti Hospital in Kashan-Iran in 2020-2021

BACKGROUND

The benefits of using Alteplase are time-dependent. This study aimed to evaluate delays between the onset of symptoms and the administration of Alteplase and related factors in patients with acute ischemic stroke (AIS).

MATERIALS AND METHODS

In this cross-sectional study, 60 AIS patients receiving Alteplase were selected by census sampling from July 2020 to July 2021 from the eligible patients referred to Shahid Beheshti Hospital in Kashan, Iran. The data collection tool was a researcher-made questionnaire containing demographic information, time periods from the onset of symptoms to the injection of Alteplase, and associated factors. The required information was collected from the patients, their relatives, their health records, and Kashan Emergency Medical Service (EMS) information system. Data were analyzed in SPSS-16.

RESULTS

Eighty-five percent of the 60 patients participating in the study were transferred to the hospital by EMS ambulances. The mean time intervals between different phases were as follows: Onset-To-Door (OTD) time 81.35 ± 33.76 minutes; Door-To-CT (DTC) scan time 16.12 ± 17.46 minutes; Door-To-Needle (DNT) time 51.30 ± 26.14 minutes; and the overall Onset-To-Needle (ONT) time 133.75 ± 39.17 minutes. Also, the mean ONT in people transferred by EMS was about 129 minutes, and the longest prehospital delay in these patients was related to the time between the arrival of the EMS ambulance to the hospital. Marital status and geographical location where the stroke had occurred showed a significant relationship with prehospital delay and pre-hospital notification (PHN) by EMS But there was no relationship between underlying diseases or economic status and prehospital delays; also, the patient's diastolic blood pressure at the time of receiving Alteplase showed a significant relationship with in-hospital delay.

CONCLUSION

The findings of the study showed that the majority of people trust and use EMS ambulances to transfer to the hospital and the time spent in different stages, from the onset of symptoms to the injection of the thrombolytic drug, was in an acceptable range in the patients.

Initial Results of a Direct Aspiration First-Pass Technique to Treat Acute Ischemic Stroke Patients in Nepal

Objective Endovascular therapy has become the mainstay of treatment of acute ischemic stroke (AIS) due to large vessel occlusion. A direct aspiration first-pass technique (ADAPT) using large bore aspiration catheters has been introduced as a rapid, simple method for achieving good revascularization and good clinical outcomes. The aim of this study was to assess the safety and efficacy of ADAPT in the treatment of AIS due to large-vessel occlusion in the Nepali patient population.

Materials and Methods Retrospective data were collected for all consecutive patients treated for AIS with ADAPT from March 2019 through January 2021 at two hospitals. Outcomes were successful revascularization (modified thrombolysis in cerebral infarction score of 2b-3), time to revascularization, procedural complications, and good clinical outcome (modified Rankin Scale score of 0 to 2) and mortality at 90 days.

Statistical Analysis Retrospective data were collected and descriptive statistics were calculated.

Results Sixty-eight patients treated for AIS with ADAPT were included. The median National Institutes of Health Stroke Scale score at presentation was 13 (IQR 10–13.25). The median time from arterial puncture to revascularization was 40 minutes (IQR 30–45). Successful revascularization was achieved in 54 patients (79.4%). No cases of symptomatic intracranial hemorrhage occurred. At 90-day follow-up, good clinical outcome was achieved in 57 patients (83.8%), and 4 patients died (5.9%).

Conclusion A direct aspiration first pass technique appears to be a fast, simple, safe, and effective method for the management of AIS in the Nepali patient population.

Influencing factors for decision-making delay in seeking medical care among acute ischemic stroke patients in rural areas

OBJECTIVE

To explore the factors influencing decision-making delay in seeking medical care for patients with acute ischemic stroke (AIS) in rural areas.

METHODS

From September to December 2021, we conducted a questionnaire survey of 260 patients with AIS who were hospitalized in the neurology departments of four county-level hospitals in Daqing. A decision-tree and logistic regression model was used to investigate the elements contributing to decision-making delays.

RESULTS

This study found that the decision-making delay rate for rural patients with AIS was 71.5%. The results of the univariate analysis showed that factors associated with decision-making delay included educational level, National Institute of Health stroke scale (NIHSS) score, self-assessed health, monthly income, social support, attitude toward medical help-seeking, health belief, and family dynamics (P < 0.05). Further, we combined logistic regression (LR) and decision-tree (DT) models for multivariate analysis, and finally obtained five factors affecting decision-making delay in AIS patients in rural areas: disease severity, health belief, monthly income (common factors), educational level (only DT model), and social support (only LR model).

CONCLUSIONS

This study found that a few variables, including disease severity, educational level, monthly income, health belief, and social support, affected rural AIS patients' decision-making delay in seeking medical care.

PRACTICE IMPLICATIONS

To achieve the goal of reducing decision-delay and increasing thrombolysis rate, this study thoroughly examined the influencing factors of decision-making delay in seeking medical care of rural AIS patients from various angles. This analysis provides guidance for medical and healthcare professionals on how to best provide future health education for the high-risk population for stroke in rural areas.

Public stroke awareness among Gharbia governorate inhabitants: a cross-sectional study

Background

Stroke is the most common acquired neurological disease in the adult population worldwide with an incidence of 16 million new cases every year responsible for about 6.1 million deaths and 130.6 million disability-adjusted life-years (DALYs). The objectives of this work were to study the level of stroke awareness and the proper response for suspected stroke patients in urban and rural areas of Tanta City, Egypt. The study was conducted on 1869 Egyptian Citizens; 908 and 961 reside in urban and rural areas, respectively, who were submitted to a face-to-face interview using the stroke awareness questionnaire (Arabic version).

Results

Rural participants showed a significant reduction in acute cerebrovascular stroke (CVS) awareness and knowledge including the most affected organ by CVS, what are the risk factors, what are the early stroke symptoms, is there specific treatment for acute ischemic stroke, and what is the proper reaction when confronted with a case of acute CVS?

Conclusion

Urban populations have better recognition of stroke risk factors, early stroke symptoms, and the proper response when confronted with a case of acute CVS when compared with rural people possibly due to better socioeconomic status and higher educational levels.

Pre- and in-hospital delays in the use of thrombolytic therapy for patients with acute ischemic stroke in rural and urban Egypt

Background

Reducing pre- and in-hospital delays plays an important role in increasing the rate of intravenous thrombolysis (IVT) in patients with acute ischemic stroke. In Egypt, the IVT rate has increased steadily but is still far away from an ideal rate.

Aim

The study aimed to investigate the factors associated with pre- and in-hospital delays of IVT among patients with acute ischemic stroke coming from urban and rural communities.

Methods

This prospective, multicenter, observational cohort study was conducted from January 2018 to January 2019. Patients with acute ischemic stroke, who did not receive IVT, were included in the study. Patients were recruited from three large university stroke centers in Egypt, Assiut (south of Egypt), Tanta (north of Egypt), both serving urban and rural patients, and the University Hospital in Cairo (capital city), only serving an urban community. All participants underwent the National Institutes of Health Stroke Scale and full neurological assessment, urgent laboratory investigations, and computed tomography or magnetic resonance imaging to confirm the stroke diagnosis. The patients were subjected to a structured questionnaire that was designed to determine the parameters and time metrics for the pre- and in-hospital delays among patients from rural and urban regions.

Results

A total of 618 patients were included in the study, of which 364 patients (58.9%) lived in rural regions and 254 (41.1%) in urban regions. General demographic characteristics were similar between both groups. Approximately 73.3% of patients who arrived within the therapeutic time window were urban patients. The time from symptom onset till hospital arrival (onset to door time, ODT) was significantly longer among rural patients (738 ± 690 min) than urban patients (360 ± 342 min). Delayed onset to alarm time (OAT), initial misdiagnosis, and presentation to non-stroke-ready hospitals were the most common causes of pre-hospital delay and were significantly higher in rural patients. For patients arriving within the time window, the most common causes of in-hospital delays were prolonged laboratory investigations and imaging duration.

Conclusion

The limited availability of stroke-ready hospitals in rural Egypt leads to delays in stroke management, with subsequent treatment inequality of rural patients with acute stroke.

Bilateral lysis of aortic saddle thrombus with early tissue plasminogen activator (BLASTT): a prospective, randomized, placebo-controlled study in feline acute aortic thromboembolism

OBJECTIVES

The aim of this study was to investigate the impact of tissue plasminogen activator (TPA) on the treatment of feline aortic thromboembolism (FATE).

METHODS

Cats diagnosed with FATE involving ⩾2 limbs were enrolled in a prospective, multicenter, double-blinded, randomized, placebo-controlled study within 6 h of an event. Diagnosis was made by clinical findings and one confirmatory criterion. Cats received placebo or TPA (1 mg/kg/h with the first 10% by bolus). All cats received pain control and thromboprophylaxis. The primary outcome was a change from baseline in a published limb score at 48 h. Secondary outcomes included 48 h survival, survival to discharge and complication proportions. Statistical analyses included pattern-mixture models, logistic regression and Fisher's exact, Student's t- and Mann-Whitney-Wilcoxon tests.

RESULTS

Based on a power analysis, 40 cats were enrolled; however, only 20 survived to 48 h (TPA, n = 12; placebo, n = 8 [P = 0.34]). There was a statistically significant improvement in limb scores compared with baseline for both groups (P <0.001). Limb score at 48 h was 1 point lower (better) in the TPA group (P = 0.19). Thrombolysis had no statistically significant effect on 48 h survival (P = 0.22). Lower affected limb lactate was associated with better 48 h survival (odds ratio 1.53, 95% confidence interval 1.08-2.17; P = 0.02). The survival to discharge rates were 45% (TPA) and 30% (placebo; P = 0.51). Complications in the TPA and placebo groups included acute kidney injury (22% and 19%, respectively; P = 1.00) and/or reperfusion injuries (33% and 19%, respectively; P = 0.45).

CONCLUSIONS AND RELEVANCE

Survival and complication rates of acute FATE were not different with or without thrombolysis. High in-hospital mortality decreased the statistical power to detect a statistically significant difference between treatments with regard to our primary outcome.

Machine learning approach for hemorrhagic transformation prediction: Capturing predictors' interaction

Background and purpose

Patients with ischemic stroke frequently develop hemorrhagic transformation (HT), which could potentially worsen the prognosis. The objectives of the current study were to determine the incidence and predictors of HT, to evaluate predictor interaction, and to identify the optimal predicting models.

Methods

A prospective study included 360 patients with ischemic stroke, of whom 354 successfully continued the study. Patients were subjected to thorough general and neurological examination and T2 diffusion-weighted MRI, at admission and 1 week later to determine the incidence of HT. HT predictors were selected by a filter-based minimum redundancy maximum relevance (mRMR) algorithm independent of model performance. Several machine learning algorithms including multivariable logistic regression classifier (LRC), support vector classifier (SVC), random forest classifier (RFC), gradient boosting classifier (GBC), and multilayer perceptron classifier (MLPC) were optimized for HT prediction in a randomly selected half of the sample (training set) and tested in the other half of the sample (testing set). The model predictive performance was evaluated using receiver operator characteristic (ROC) and visualized by observing case distribution relative to the models' predicted three-dimensional (3D) hypothesis spaces within the testing dataset true feature space. The interaction between predictors was investigated using generalized additive modeling (GAM).

Results

The incidence of HT in patients with ischemic stroke was 19.8%. Infarction size, cerebral microbleeds (CMB), and the National Institute of Health stroke scale (NIHSS) were identified as the best HT predictors. RFC (AUC: 0.91, 95% CI: 0.85-0.95) and GBC (AUC: 0.91, 95% CI: 0.86-0.95) demonstrated significantly superior performance compared to LRC (AUC: 0.85, 95% CI: 0.79-0.91) and MLPC (AUC: 0.85, 95% CI: 0.78-0.92). SVC (AUC: 0.90, 95% CI: 0.85-0.94) outperformed LRC and MLPC but did not reach statistical significance. LRC and MLPC did not show significant differences. The best models' 3D hypothesis spaces demonstrated non-linear decision boundaries suggesting an interaction between predictor variables. GAM analysis demonstrated a linear and non-linear significant interaction between NIHSS and CMB and between NIHSS and infarction size, respectively.

Conclusion

Cerebral microbleeds, NIHSS, and infarction size were identified as HT predictors. The best predicting models were RFC and GBC capable of capturing nonlinear interaction between predictors. Predictor interaction suggests a dynamic, rather than, fixed cutoff risk value for any of these predictors.

Pre-Hospital Delay in Acute Ischemic Stroke Care: Current Findings and Future Perspectives in a Tertiary Stroke Center from Romania-A Cross-Sectional Study

Background and objectives: The time interval between stroke onset and hospital arrival is a major barrier for reperfusion therapies in acute ischemic stroke and usually accounts for most of the onset-to-treatment delay. The present study aimed to analyze the pre-hospital delays for patients with acute ischemic stroke admitted to a tertiary stroke center in Romania and to identify the factors associated with a late hospital arrival. Material and methods: The study population consisted of 770 patients hospitalized with the diagnosis of acute ischemic stroke in the University Emergency Hospital Bucharest during a 6-month period, between 1 January and 30 June 2018. Data regarding pre-hospital delays were prospectively collected and analyzed together with the demographic and clinical characteristics of the patients. Results: In total, 31.6% of patients arrived at the hospital within 4.5 h from stroke onset and 4.4% in time intervals between 4.5 and 6 h from the onset, and 28.7% of the patients reached the hospital more than 24 h after onset of symptoms. Transport to hospital by own means was the only factor positively associated with arrival to hospital > 4.5 h from stroke onset and more than doubled the odds of late arrival. Factors negatively associated with hospital arrival > 4.5 h after stroke onset were prior diagnosis of atrial fibrillation, initial National Institute of Health Stroke Scale (NIHSS) score ≥ 16 points, presence of hemianopsia, facial palsy and sensory disturbance. Factors increasing the odds of hospital arrival after 24 h from stroke onset were living alone and living in rural areas. Conclusions: Almost one in three ischemic stroke patients presenting to our center reaches hospital more than 24 h after onset of symptoms. These findings highlight the need for urgent measures to improve not only stroke awareness but also pre-hospital protocols in order to provide timely and appropriate care for our stroke patients.

Factors Affecting Pre-Hospital and In-Hospital Delays in Treatment of Ischemic Stroke; a Prospective Cohort Study

Introducion:

The outcomes of acute ischemic stroke (AIS) are highly affected by time-to-treatment. The present study aimed to determine the factors affecting in-hospital and pre-hospital delays in treatmentof AIS.

Methods:

This prospective study was carried out on 204 AIS patients referring to the stroke care unit in Zanjan (Iran) in 2019. The required data were collected by interviewing the patients and families and using patients’ records and observations.

Results:

The maximum delay was related to onset-to-arrival time (288.19 ± 339.02 minutes). The logistic regression analysis indicated a statistically significant decline in the treatment delay via consultation after the initiation of symptoms (p< 0.001), transferring the patient through emergency medical service to the hospital (p<0.001), and patients’ perception regarding AIS symptoms (P< 0.001).

Conclusion:

It is essential to inform people regarding AIS symptoms and referring to AIS treatment units to reduce the treatment time.

Pre-hospital causes for delayed arrival in acute ischemic stroke before and during the COVID-19 pandemic: A study at two stroke centers in Egypt

BACKGROUND

In the current study we investigated the causes of pre-hospital delay as this can compromise the patient's chance to receive thrombolytic therapy and thus impact stroke outcome.

METHODS

We surveyed 254 patients regarding reasons for delayed and early arrival to hospital after acute ischemic stroke. The survey was performed over five months, spanning a period pre- and during COVID-19 (between December 7, 2019 and May 10, 2020).

RESULTS

A total of 71.2% of patients arrived beyond four hours of onset of ischemic stroke. The commonest cause for delay pre-Covid-19 was receiving treatment in a non-stroke hospital, while that during COVID-19 was fear of infection and lock down issues. Not realizing the urgency of the condition and stroke during sleep were common in both periods. Early arrival because of the patient's previous experience with stroke accounted for approximately 25% of cases in both periods. The effect of media was more evident during COVID-19, accounting for 47.7% of cases.

CONCLUSION

Pre-hospital delay secondary to misperception of the urgency of stroke and management in a non-stroke hospital reflect the lack of awareness among the public and medical staff. This concept is emphasized by early arrival secondary to previous experience with stroke and the pronounced effect of media in the time of COVID-19.

Stroke in Africa: profile, progress, prospects and priorities

Stroke is a leading cause of disability, dementia and death worldwide. Approximately 70% of deaths from stroke and 87% of stroke-related disability occur in low-income and middle-income countries. At the turn of the century, the most common diseases in Africa were communicable diseases, whereas non-communicable diseases, including stroke, were considered rare, particularly in sub-Saharan Africa. However, evidence indicates that, today, Africa could have up to 2-3-fold greater rates of stroke incidence and higher stroke prevalence than western Europe and the USA. In Africa, data published within the past decade show that stroke has an annual incidence rate of up to 316 per 100,000, a prevalence of up to 1,460 per 100,000 and a 3-year fatality rate greater than 80%. Moreover, many Africans have a stroke within the fourth to sixth decades of life, with serious implications for the individual, their family and society. This age profile is particularly important as strokes in younger people tend to result in a greater loss of self-worth and socioeconomic productivity than in older individuals. Emerging insights from research into stroke epidemiology, genetics, prevention, care and outcomes offer great prospects for tackling the growing burden of stroke on the continent. In this article, we review the unique profile of stroke in Africa and summarize current knowledge on stroke epidemiology, genetics, prevention, acute care, rehabilitation, outcomes, cost of care and awareness. We also discuss knowledge gaps, emerging priorities and future directions of stroke medicine for the more than 1 billion people who live in Africa.

Stroke systems of care in low-income and middle-income countries: challenges and opportunities

The burden of stroke is higher in low-income and middle-income countries (LMICs) than in high-income countries and is rising. Even though there are global policies and guidelines for implementing stroke care, there are many challenges in setting up stroke services in LMICs. Despite these challenges, there are many models of stroke care available in LMICs-eg, multidisciplinary team care led by a stroke neurologist, specialist-led care by neurologists, physician-led care, hub and spoke models incorporating stroke telemedicine (ie, telestroke), and task sharing involving community health workers. Alternative strategies have been developed, such as reorganising the existing hospital infrastructure by training health professionals to implement protocol-driven care. The future challenge is to identify what elements of organised stroke care can be implemented to make the largest gain. Simple interventions such as swallowing assessments, bowel and bladder care, mobility assessments, and consistent secondary prevention can prove to be key elements to improving post-discharge morbidity and mortality in LMICs.

Factors delaying intravenous thrombolytic therapy in acute ischaemic stroke: a systematic review of the literature

BACKGROUND/AIMS

This review examined factors that delay thrombolysis and what management strategies are currently employed to minimise this delay, with the aim of suggesting future directions to overcome bottlenecks in treatment delivery.

METHODS

A systematic review was performed according to PRISMA guidelines. The search strategy included a combination of synonyms and controlled vocabularies from Medical Subject Headings (MeSH) and EmTree covering brain ischemia, cerebrovascular accident, fibrinolytic therapy and Alteplase. The search was conducted using Medline (OVID), Embase (OVID), PubMed and Cochrane Library databases using truncations and Boolean operators. The literature search excluded review articles, trial protocols, opinion pieces and case reports. Inclusion criteria were: (1) The article directly related to thrombolysis in ischaemic stroke, and (2) The article examined at least one factor contributing to delay in thrombolytic therapy.

RESULTS

One hundred and fifty-two studies were included. Pre-hospital factors resulted in the greatest delay to thrombolysis administration. In-hospital factors relating to assessment, imaging and thrombolysis administration also contributed. Long onset-to-needle times were more common in those with atypical, or less severe, symptoms, the elderly, patients from lower socioeconomic backgrounds, and those living alone. Various strategies currently exist to reduce delays. Processes which have achieved the greatest improvements in time to thrombolysis are those which integrate out-of-hospital and in-hospital processes, such as the Helsinki model.

CONCLUSION

Further integrated processes are required to maximise patient benefit from thrombolysis. Expansion of community education to incorporate less common symptoms and provision of alert pagers for patients may provide further reduction in thrombolysis times.