Time to hospital admission and start of treatment in patients with ischemic stroke in northern Italy and predictors of delay

Assessment of onset-to-door time in acute ischemic stroke and factors associated with delay at a tertiary care center in South India

Objectives

Intravenous thrombolysis is an effective treatment of acute ischemic stroke but has a narrow therapeutic time window of 3-4.5 h. Pre-hospital delay is a major barrier to patients becoming eligible for thrombolysis. This single-center study assessed the factors causing longer onset-to-door (OTD) time to identify measures that will help decrease the delay.

Materials and Methods

Patients with acute ischemic stroke presenting to the emergency department from August to October 2022 were included in the study. The data were collected using a structured questionnaire and was completed by interviewing the patient or the caregivers. Patients were classified as early and late arrivers with the cutoff being 3.5 h. We then analyzed the relationship between early arrival and demographic factors, clinical factors, patient response factors, and logistic factors.

Results

Our study consisted of 153 patients. The average OTD time was 674.33 ± 812.713 min (median: 300; interquartile range: 151-885). The pre-hospital delay was present in 66% of patients. 16.9% of patients came beyond 24 h. In the multivariate analysis, the odds of early arrival were higher among patients who perceived their symptoms as serious (odds ratio [OR]: 18.801; confidence interval [CI]: 3.728-94.803) and lower among patients who experienced a delay in reaching due to traffic (OR: 0.085; CI: 0.008-0.873). Lack of knowledge about stroke centers among both patients and health professionals also contributed to longer OTD times. Out of 52 early arrivers, 24 received thrombolytic therapy after excluding wake-up strokes and contraindications.

Conclusion

Pre-hospital delay continues to stand in the way of patients receiving thrombolysis. Comprehensive stroke education, increasing awareness regarding stroke centers, and promoting ambulance services are some of the interventions which could help tackle the issue.

Factors Affecting the Delay of intravenous Thrombolysis in Hyperacute Ischemic Stroke Patients: A Single Centre Study

Introduction

Intravenous thrombolysis with r-tPA is the gold standard procedure in managing acute ischemic stroke recommended by the World Stroke Association, which is performed by injecting the drug r-tPA (Alteplase) intravenously. Generally, the preparation time to achieve thrombolysis is divided into pre-hospital and in-hospital. If this time can be shortened, the efficacy of thrombolysis can be increased. This study aims to determine the factors that can affect the delay in thrombolysis.

Methods

This is an analytic observational study with a retrospective cohort design in ischemic stroke confirmed by a neurologist at the neurology emergency unit of Hasan Sadikin Hospital (RSHS) from January 2021 to December 2021 and divided into two groups, delay and non-delay thrombolysis. A logistic regression test was performed to determine the independent predictor of delayed thrombolysis.

Results

There were 141 patients with an ischemic stroke diagnosis confirmed by a neurologist at the neurological emergency unit at Hasan Sadikin Hospital (RSHS) from January 2021 to December 2021. A total of 118 (83.69%) patients were included in the "delay" category, while 23 (16.31%) patients were included in the "non-delay" category. Patients included in the "delay" category had an average age of 58.29+11.19 years with a male-to-female sex ratio of 57%, while patients included in the "non-delay" category had an average age of 55.57+15.55 years with a male-to-female sex ratio of 66%. The NIHSS admission score was a significant risk factor for delayed thrombolysis. Through multiple logistic regression, it was found that age, onset, female gender, NIHSS admission score, and NIHSS discharge score were independent predictors of delayed thrombolysis. However, all of them were not statistically significant.

Conclusion

Gender, risk factors for dyslipidemia, and arrival onset are independent predictors of delayed thrombolysis. Prehospital factors contribute relatively more to the delay in thrombolytic action.

Time Window for Acute Stroke Management: A Cross-Sectional Study Among Community Healthcare Practitioners in Primary Care

Introduction

Time-to-treatment window is critical for managing acute ischaemic stroke. The community healthcare practitioners (CHPs) who deliver frontline care in the health system play an important role in stroke prevention and treatment.

Methods

A multi-stage sampling design was adopted in Guangdong province, China. A total of 997 CHPs who participated in the survey were divided into two groups (the awareness group vs the unawareness group) according to their knowledge on the time window for stroke management. Logistic regression analysis was performed to explore factors associated with the awareness of “time window”.

Results

Overall, less than half (49.1%) of CHPs were aware of the time window for stroke management. The proportion of CHPs who were able to recognise stroke symptoms were higher in the awareness group (42.7%) than that in the unawareness group (38.8%). Most CHPs (82.9%) in the awareness group had the knowledge about the effectiveness of intravenous thrombolysis in treating acute cerebral infarction, whereas this was perceived by only less than half (43.6%) of CHPs in the unawareness group. Factors associated with the knowledge of time window for stroke management included participation in cerebrovascular disease management training (adjusted odds ratio [aOR]=4.203, 95% CI: 1.707–10.348, p=0.002), awareness of the time frame for CT initiation (aOR=5.214, 95% CI: 1.803–15.078, p=0.002) and for urokinase thrombolysis administration (aOR=11.927, 95% CI: 4.393–32.382, p<0.001), accurate perceptions about the target for blood pressure lowering (aOR=4.181, 95% CI: 1.713–10.207, p=0.002) and blood glucose control (aOR=2.446, 95% CI: 1.019–5.869, p=0.045), and the familiarity with prehospital stroke management principles (aOR=3.593, 95% CI: 1.383–9.332, p=0.009).

Conclusion

The CHPs need to enhance their ability to address the acute ischaemic stroke onset promptly to provide effective treatment within the beneficial “time window”. This may help improve the stroke chain of survival with better multidisciplinary decision support systems that enable optimal stroke care delivery.

Trends and Characteristics of Emergency Medical Services in Italy: A 5-Years Population-Based Registry Analysis

Background: Emergency Medical Services (EMS) plays a fundamental role in providing good quality healthcare services to citizens, as they are the first responders in distressing situations. Few studies have used available EMS data to investigate EMS call characteristics and subsequent responses. Methods: Data were extracted from the emergency registry for the period 2013–2017. This included call and rescue vehicle dispatch information. All relationships in analyses and differences in events proportion between 2013 and 2017 were tested against the Pearson’s Chi-Square with a 99% level of confidence. Results: Among the 2,120,838 emergency calls, operators dispatched at least one rescue vehicle for 1,494,855. There was an estimated overall incidence of 96 emergency calls and 75 rescue vehicles dispatched per 1000 inhabitants per year. Most calls were made by private citizens, during the daytime, and were made from home (63.8%); 31% of rescue vehicle dispatches were advanced emergency medical vehicles. The highest number of rescue vehicle dispatches ended at the emergency department (74.7%). Conclusions: Our data showed that, with some exception due to environmental differences, the highest proportion of incoming emergency calls is not acute or urgent and could be more effectively managed in other settings than in an Emergency Departments (ED). Better management of dispatch can reduce crowding and save hospital emergency departments time, personnel, and health system costs.

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.

In-Hospital Mortality among Ischemic Stroke Patients in Gondar University Hospital: A Retrospective Cohort Study

Introduction

Ischemic stroke is the third leading cause of mortality in low-income countries and the sixth in Ethiopia. The aim of this study was to determine the rate and predictors of in-hospital mortality due to ischemic stroke in Gondar University Hospital.

Methods

The study was conducted from April 1, 2017, to May 15, 2017, at Gondar University Hospital. A census using retrospective cohort study design was conducted on medical records of adult patients with the diagnosis of ischemic stroke attending the medical inpatient ward of Gondar University Hospital between November 2012 and September 2016. Cox hazard regression was used to determine the predictors of in-hospital mortality. A two-sided statistical test at 5% level of significance was used.

Results

The mean (±SD) duration of hospital stay was 11.55 (10.040) days. Of the total 208 patients, 26 (12.5%) patients died in the hospital. Cox regression revealed that only a decrease in renal function, particularly elevated serum creatinine (AHR=8.848, 95% CI: 1.616-67.437), was associated with a statistically significant increase of in-hospital mortality. The symptom onset-to-admission time varied greatly among patients and ranged from 1 hour to 168 hours.

Conclusion

The in-hospital mortality associated with ischemic stroke was found to be high. Mainly, elevation in serum creatinine was highly associated with poorer outcomes in terms of in-hospital mortality. Much work should be done on improving the knowledge and awareness of the community regarding ischemic stroke and stroke in general to encourage early medical seeking behavior and reduce mortality and long-term disability.

Differences in and Determinants of Prehospital Delay Times among Stroke Patients-1994 Versus 2012

OBJECTIVES

Prehospital delay is a challenge for stroke treatment and the delivery of time-critical treatments. Few studies have examined secular trends in prehospital delay, and results vary. This study investigates how prehospital delay among Norwegian stroke patients has changed over the last 2 decades.

METHODS

We compared time from symptom onset to admission in 2 cohorts of stroke patients admitted to Akershus University Hospital, Norway, in 1994 (n = 550) and 2012 (n = 522), and constructed predictive models for arrival within 3 hours for each cohort.

RESULTS

More patients arrived within 3 hours of symptom onset in 2012 compared to 1994 (proportion, 47.1% versus 19.3%, P < .001), also after adjusting for age, sex, and baseline differences; odds ratio (OR) was 5.14 (95% confidence interval [CI] 3.69-7.15). Stroke severity was the only predictor examined that was independently associated with early arrival during both periods. For patients with moderate strokes the overall OR was 2.06 (95% CI 1.41-3.00) and for severe strokes 4.52 (95% CI 2.97-6.87), compared to those with mild strokes. In the 1994 cohort additional predictors of early arrival were living with others and not being admitted from nursing home.

CONCLUSIONS

Prehospital delay in Norway has decreased considerably over the last 2 decades and since the availability of time-critical treatments. However, there is still an urgent need to reduce the number of delayed admissions as a large proportion of patients continue to arrive too late to benefit from these treatments. Patients with severer strokes were predicted to have earlier arrival.

Factors related to immediate response to symptoms in patients with stroke or transient ischaemic attack

INTRODUCTION

Despite recent advances in the management of acute stroke, fewer than 10% of patients receive reperfusion therapy. One of the main reasons for such a low rate of administration is the delay on the part of patients and their families in seeking medical attention. This study aimed to analyse this delay.

METHODS

A prospective observational study was conducted on consecutive stroke or transient ischaemic attack. Data on sociodemographic and clinical parameters, decision delay, pre-hospital delay, and first medical contact were collected. Descriptive, bivariate, and multivariate logistic regression analyses were performed to determine factors associated with seeking medical attention within the first 15minutes of stroke or TIA occurrence.

RESULTS

A total of 382 patients were included, 24.9% of whom had a decision delay of 15minutes or less. Stroke severity (OR 1.08; 95% CI, 1.04-1.13; P<.001), patient's son/daughter witnessing the event (OR 3.44; 95% CI, 1.88-6.27; P<.001), and insulin treatment (OR 2.89; 95% CI, 1.35-6.20; P=.006) were related to an immediate reaction. Lacunar infarcts (OR 0.41; 95% CI, 0.17-0.97; P=.042), partial anterior circulation infarcts (OR 0.43; 95% CI, 0.22-0.85; P=.015), and monosymptomatic events not involving limb paresis or aphasia (OR 0.15; 95% CI, 0.033-0.724; P=.018) favoured delays longer than 15minutes.

CONCLUSIONS

Severity of the event and presence of a son/daughter are the factors most frequently associated with an immediate response to stroke. Future interventions should emphasise the need for an immediate response irrespective of severity and include a wider spectrum of symptoms.

If Time Is Brain Where Is the Improvement in Prehospital Time after Stroke?

Despite the availability of thrombolytic and endovascular therapy for acute ischemic stroke, many patients are ineligible due to delayed hospital arrival. The identification of factors related to either early or delayed hospital arrival may reveal potential targets of intervention to reduce prehospital delay and improve access to time-critical thrombolysis and clot retrieval therapy. Here, we have reviewed studies reporting on factors associated with either early or delayed hospital arrival after stroke, together with an analysis of stroke onset to hospital arrival times. Much effort in the stroke treatment community has been devoted to reducing door-to-needle times with encouraging improvements. However, this review has revealed that the median onset-to-door times and the percentage of stroke patients arriving before the logistically critical 3 h have shown little improvement in the past two decades. Major factors affecting prehospital time were related to emergency medical pathways, stroke symptomatology, patient and bystander behavior, patient health characteristics, and stroke treatment awareness. Interventions addressing these factors may prove effective in reducing prehospital delay, allowing prompt diagnosis, which in turn may increase the rates and/or efficacy of acute treatments such as thrombolysis and clot retrieval therapy and thereby improve stroke outcomes.

If Time Is Brain Where Is the Improvement in Prehospital Time after Stroke?

Despite the availability of thrombolytic and endovascular therapy for acute ischemic stroke, many patients are ineligible due to delayed hospital arrival. The identification of factors related to either early or delayed hospital arrival may reveal potential targets of intervention to reduce prehospital delay and improve access to time-critical thrombolysis and clot retrieval therapy. Here, we have reviewed studies reporting on factors associated with either early or delayed hospital arrival after stroke, together with an analysis of stroke onset to hospital arrival times. Much effort in the stroke treatment community has been devoted to reducing door-to-needle times with encouraging improvements. However, this review has revealed that the median onset-to-door times and the percentage of stroke patients arriving before the logistically critical 3 h have shown little improvement in the past two decades. Major factors affecting prehospital time were related to emergency medical pathways, stroke symptomatology, patient and bystander behavior, patient health characteristics, and stroke treatment awareness. Interventions addressing these factors may prove effective in reducing prehospital delay, allowing prompt diagnosis, which in turn may increase the rates and/or efficacy of acute treatments such as thrombolysis and clot retrieval therapy and thereby improve stroke outcomes.

Response to Symptoms and Prehospital Delay in Stroke Patients. Is It Time to Reconsider Stroke Awareness Campaigns?

BACKGROUND

Despite recent advances in acute stroke care, reperfusion therapies are given to only 1%-8% of patients. Previous studies have focused on prehospital or decision delay. We aim to give a more comprehensive view by addressing different time delays and decisions.

METHODS

A total of 382 patients with either acute stroke or transient ischemic attack were prospectively included. Sociodemographic and clinical parameters and data on decision delay, prehospital delay, and first medical contact were recorded. Multivariate logistic regression analyses were conducted to identify factors related to decision delay of 15 minutes or shorter, calling the Extrahospital Emergency Services, and prehospital delay of 60 minutes or shorter and 180 minutes or shorter.

RESULTS

Prehospital delay was 60 minutes or shorter in 11.3% of our patients and 180 minutes or shorter in 48.7%. Major vascular risk factors were present in 89.8% of patients. Severity was associated with decision delay of 15 minutes or shorter (odds ratio [OR] 1.08; confidence interval [CI] 1.04-1.13), calling the Extrahospital Emergency Services (OR 1.17; CI 1.12-1.23), and prehospital delay of 180 minutes or shorter (OR 1.08; CI 1.01-1.15). Adult children as witnesses favored a decision delay of 15 minutes or shorter (OR 3.44; CI 95% 1.88-6.27; P < .001) and calling the Extrahospital Emergency Services (OR 2.24; IC 95% 1.20-4.22; P = .012). Calling the Extrahospital Emergency Services favored prehospital delay of 60 minutes or shorter (OR 5.69; CI 95% 2.41-13.45; P < .001) and prehospital delay of 180 minutes or shorter (OR 3.86; CI 95% 1.47-10.11; P = .006).

CONCLUSIONS

Severity and the bystander play a critical role in the response to stroke. Calling the Extrahospital Emergency Services promotes shorter delays. Future interventions should encourage immediately calling the Extrahospital Emergency Services, but the target should be redirected to those with known risk factors and their caregivers.

Access to Thrombolysis for Non-Resident and Resident Stroke Patients-A Registry-Based Comparative Study from Berlin

Objectives

Stroke can happen to people away from home. It is unknown whether non-resident and resident stroke patients have equal access to thrombolysis.

Materials and methods

Consecutive patients cared for by the Stroke Emergency Mobile between 2011 and 2016 after prompting suspicion of acute stroke during the emergency call were included in our registry. Patients were categorized as residents or non-residents based on their main address. Clinical characteristics, thrombolysis rates, and time intervals from symptom onset/last seen well to alarm and to thrombolysis were compared between groups adjusting for age, pre-stroke modified Rankin Scale (mRS) score, and National Institutes of Health Stroke Scale (NIHSS) score.

Results

Of 4,254 patients for whom a stroke dispatch was activated, 2,451 had ischemic or hemorrhagic strokes, including 73 non-residents. Non-resident stroke patients were younger (median 69.4 vs. 76.6 years, p < 0.001), had less pre-stroke disability (mRS ≥ 2:17.8 vs. 47.5%, p < 0.001) and less severe strokes (median NIHSS 4 vs. 5, p = 0.02). Thrombolysis rates were higher in non-residents (30.9 vs. 22.0% of ischemic stroke patients, p = 0.04) and emergency calls were made faster (symptom onset/last-seen-well-to-alarm time 35 vs. 144 min, p = 0.04). A lower proportion of non-residents had unknown time of symptom onset (21.9 vs. 46.4%, p < 0.001). For patients with known time of symptom onset, thrombolysis rates, and prehospital delays were similar among non-residents and residents.

Conclusion

In this study, non-resident stroke patients had higher rates of thrombolysis than residents. This may be explained by a lower proportion of patients with unknown time of symptom onset.

Bypassing primary stroke centre reduces delay and improves outcomes for patients with large vessel occlusion

Objective

In large-vessel occlusion, endovascular therapy is superior to medical management alone in achieving recanalisation. Reducing time delays to revascularisation in patients with large-vessel occlusion is important to improving outcome.

Patients and methods

A campaign was implemented in the Central Denmark Region targeting the identification of patients with large-vessel occlusion for direct transport to a comprehensive stroke centre. Time delays and outcomes before and after the intervention were assessed.

Results

A total of 476 patients (153 pre-intervention and 323 post-intervention) were included. They were treated with either intravenous tissue plasminogen activator or endovascular treatment (alone or in combination with intravenous tissue plasminogen activator). Endovascular therapy patients' median system delay was reduced from 234 to 185 min (adjusted relative risk delay 0.79 (95% confidence interval: 0.67-0.93)). The in-hospital delay was the main driver with an adjusted relative risk delay of 0.76 (confidence interval: 0.62-0.94), while pre-hospital delay was almost significantly reduced with an adjusted relative delay of 0.86 (confidence interval: 0.71-1.04). This was achieved without increasing the intravenous tissue plasminogen activator-treated patients' delay. Significantly more patients treated with endovascular therapy in the post-interventional period achieved functional independence (62% versus 43%), corresponding to an adjusted odds ratio of 3.08 (95% confidence interval: 1.08-8.78).

Conclusion

Direct transfer of patients with suspected large-vessel occlusion to a comprehensive stroke centre leads to shorter treatment times for endovascular therapy patients and is, in turn, associated with an increase in functional independence. We recorded no adverse effects on intravenous tissue plasminogen activator treatment times or outcome.