Multiple causes for delay in arrival at hospital in acute stroke patients in Aydin, Turkey

Prevalence and influencing factors of patient delay in stroke patients: a systematic review and meta-analysis

PURPOSE

Determine the prevalence and influencing factors of patient delay in stroke patients and explore variation in prevalence by country and delayed time.

METHODS

PubMed, The Cochrane Library, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), Chinese Biomedical Database (CBM), Weipu database, and Wanfang database were comprehensively searched for observational studies from inception to April, 2023. The pooled prevalence, odds ratio (OR), and 95% confidence intervals (CI) were calculated with Stata 16.0 software.

RESULTS

In total, 2721 articles were screened and data from 70 studies involving 85,468 subjects were used in meta-analysis. The pooled prevalence of patient delay in stroke patients was 59% (95% CI, 0.54-0.64). The estimates of pooled prevalence calculated for African, Asian, and European patient delay in stroke patients were 55% (0.29-0.81), 61% (0.56-0.66), and 49% (0.34-0.64).According to the patient delay time, the prevalence of 6 h, 5 h, 4.5 h, 3.5 h, 3 h and 2 h were 54% (0.47-0.61), 73% (0.61-0.86), 60% (0.49-0.71), 81% (0.68-0.93), 52% (0.42-0.62), 63% (0.19-1.07). Distance from the place of onset to the hospital > 10 km [OR=2.49, 95%CI (1.92, 3.24)], having medical insurance [OR = 0.45, 95%CI (0.26,0.80)], lack of stroke-related knowledge [OR = 1.56, 95%CI (1.08,2.26)], education level below junior high school [OR = 1.69, 95%CI (1.22,2.36)], non-emergency medical services (Non-EMS) [OR = 2.10, 95%CI (1.49,2.97)], living in rural areas [OR = 1.54, 95%CI (1.15,2.07)], disturbance of consciousness [OR = 0.60, 95%CI (0.39,0.93)], history of atrial fibrillation [OR = 0.53, 95%CI (0.47,0.59)], age ≥ 65 years [OR = 1.18, 95%CI (1.02,1.37)], National institutes of health stroke scale (NIHSS) ≤ 4 points [OR= 2.26, 95%CI (1.06,4.79)]were factors for patient delay in stroke patients.

CONCLUSIONS

The prevalence of patient delay in stroke patients is high, we should pay attention to the influencing factors of patient delay in stroke patients and provide a theoretical basis for shortening the treatment time of stroke patients.

Trends in Prehospital Visits as a Cause of Delayed Admission in Korean Stroke Patients over a 10-Year Period: A National Health Insurance Claims Data Study

Background

A prehospital delay from symptom onset to hospital arrival resulted in stroke-related complications or in-hospital deaths in acute stroke patients. We aimed to investigate trends in prehospital visits as a cause of prehospital delay using data from the Korean Health Insurance Service.

Methods

This nationwide, population-based, retrospective cohort study included 524,524 newly-diagnosed stroke patients admitted via the emergency departments of secondary and tertiary hospitals. We obtained the prehospital visits rate from 2010 to 2019 and identified the related characteristics.

Results

Prehospital visits were observed in 111,465 patients (21.3%). The prehospital visits rate decreased from 25.1% in 2010 to 17.8% in 2019, but the number of patients increased from 11,255 cases in 2010 to 11,747 cases in 2019. Fortunately, the rate of delayed admission for more than one day decreased from 26.7% to 21.3%. However, 10.4% of patients were diagnosed more than two days later. Young, females, or patients with higher income status and living in low urbanization areas exhibited a higher rate of prehospital visits.

Conclusions

Prehospital visits in Korean stroke patients decreased from 25.1% in 2010 to 17.8% in 2019. However, more than 10,000 patients still visited other medical institutions before admission to treatment.

Evaluation of stroke pre-hospital management in Lebanon from symptoms onset to hospital arrival and impact on patients' status at discharge: a pilot study

BACKGROUND

Hospital arrival time after acute ischemic stroke onset is the major factor limiting the eligibility of patients to receive intravenous thrombolysis. Shortening the prehospital delay is crucial to reducing morbidity and mortality for stroke patients. The study was conducted to investigate the factors that influence hospital arrival time after acute stroke onset in the Lebanese population and to assess the effect of the prehospital phase on patients' prognosis at discharge.

METHOD

A prospective cross-sectional study was performed in eleven hospitals from April to July 2021 including 100 patients having stroke symptoms or transient ischemic attack (TIA). Two questionnaires were used to collect data addressing patient management in the pre-hospital phase and the in-hospital phase. Descriptive and bivariate analyses were done to evaluate the potential associations between prognosis, pre-hospital characteristics, and other factors.

RESULTS

The patients' mean age was 70.36 ± 12.25 years, 43 (53.8%) of them were females, and 79 (85%) arrived within 3 hours after symptoms onset. Diabetic patients had a significant delay in hospital arrival compared with non-diabetics (27.0%vs.7.1%, p-value = 0.009). Moreover, 37 (75.5%) of school-level education patients arrived early at the hospital compared to 7 (100%) of university-level education (p-value = 0.009). The modified Rankin Scale (mRS) at discharge in patients with hemorrhagic stroke (10 (90%)) was worse than that in patients with ischemic stroke (38 (80%)) or TIA (3 (15%)) (p-value< 0.001).

CONCLUSION

The study findings make it imperative to raise awareness about stroke symptoms among the Lebanese population. Emergency Medical Services should be utilized appropriately in the transportation of stroke patients to achieve optimal patient outcomes.

Identification of high-risk factors for prehospital delay for patients with stroke using the risk matrix methods

Background

Stroke has become a leading cause of mortality and adult disability in China. The key to treating acute ischemic stroke (AIS) is to open the obstructed blood vessels as soon as possible and save the ischemic penumbra. However, the thrombolytic rate in China is only 2.5%. Research has been devoted to investigating the causes of prehospital delay, but the exact controllable risk factors for prehospital delay remain uncertain, and a consensus is lacking. We aimed to develop a risk assessment tool to identify the most critical risk factors for prehospital delay for AIS patients.

Methods

From November 2018 to July 2019, 450 patients with AIS were recruited. Both qualitative and quantitative data were collected. The Delphi technique was used to obtain expert opinions about the importance of the risk indices in two rounds of Delphi consultation. Then, we used the risk matrix to identify high-risk factors for prehospital delay for AIS patients.

Results

The risk matrix identified the following five critical risk factors that account for prehospital delay after AIS: living in a rural area; no bystanders when stroke occurs; patients and their families lacking an understanding of the urgency of stroke treatment; patients and their families not knowing that stroke requires thrombolysis or that there is a thrombolysis time window; and the patient self-medicating, unaware of the seriousness of the symptoms, and waiting for spontaneous remission.

Conclusions

The risk analysis tool used during this study may help prevent prehospital delays for patients with AIS.

Using Multiple Logistic Regression to Determine Factors Affecting Delaying Hospital Arrival of Patients with Acute Ischemic Stroke

Background

Early treatment of ischemic stroke patients who arrive at the hospital ≤4.5 hours after the onset of symptoms with recombinant tissue plasminogen activator is more beneficial and very important.

Objective

This study is aimed to investigate the factors delaying the hospital arrival of patients with acute ischemic stroke by using multiple logistic regression analysis.

Methods and Materials

This descriptive cross-sectional study was done on patients diagnosed with acute ischemic stroke who were referred to Ardabil city Training and Research hospital at 2018. All patients and/or patient relatives were interviewed and data were collected through a checklist including demographic and clinical data of patients to explore the involved factors delaying hospital arrival of patients and then analyzed using multiple logistic regression analysis.

Results

Of all included patients, only 25.3% arrived at the hospital in ≤ 4.5 hours. By using multivariate logistic regression analysis, living in cities (P = 0.007), cigarette consumption (P = 0.032), having valvular heart disease (P = 0.008), and gender (P = 0.049) were factors associated with an early arrival to the hospital.

Conclusions

Results showed that most of the patients had a considerable delay in arriving at the hospital in ≤ 4.5 hours. Thus, providing health promotion strategies to improve society awareness of early symptoms of stroke, training of local physicians about the importance of early arrival of stroke patients, and more extended ambulance services in all cities and rural areas are necessary for better management of acute stroke patients in this area.

Ischemic stroke in Morocco: Prehospital delay and associated factors

OBJECTIVES

This study aimed to estimate prehospital delay and to identify the factors associated with the late arrival of patients with ischemic stroke at the Souss Massa Regional Hospital Center in Morocco.

PATIENTS AND METHODS

An observational, prospective, cross-sectional study was conducted from March 2019 to September 2019 in the Souss Massa regional hospital center, which is a public hospital structure. A questionnaire was administered to patients with ischemic stroke and to bystanders (family or others), while clinical and paraclinical data were collected from medical records. Univariate and multivariate logistic regression analyses were used to identify the factors associated with delayed arrival at emergency department.

RESULTS

A total of 197 patients and 197 bystanders who fulfilled the criteria for the study were included. The median time from symptom onset to hospital arrival was 6hours (IQR, 4-16). Multiple regression analysis showed that illiteracy (OR 38.58; CI_95%: 3.40-437.27), waiting for symptoms to disappear (patient behavior) (OR 11.24; CI_95%: 1.57-80.45), deciding to go directly to the hospital (patient behavior) (OR 0.07; CI_95%: 0.01-0.57), bystander's knowledge that stroke is a disease requiring urgent care within a limited therapeutic window (OR 0.005; CI_95%: 0.00-0.36), and direct admission without reference (OR 0.005; CI_95%: 0.00-0.07), were independently associated with late arrival (>4.5hours) of patients with acute ischemic stroke. In addition, illiteracy (OR 24.62; CI_95%: 4.37-138.69), vertigo and disturbance of balance or coordination (OR 0.14; CI_95%: 0.03-0.73), the relative's knowledge that stroke is a disease requiring urgent care and within a limited therapeutic window (OR 0.03; CI_95%: 0.00-0.22), calling for an ambulance (relative's behavior) (OR 0.16; CI_95%: 0.03-0.80), distance between 50 and 100km (OR 10.16; CI_95%: 1.16-89.33), and direct admission without reference (OR 0.03; CI_95%: 0.00-0.14), were independently associated with late arrival (>6hours) of patients with acute ischemic stroke.

CONCLUSION

Patient behavior, bystander knowledge and direct admission to the competent hospital for stroke care are modifiable factors potentially useful for reducing onset-to-door time, and thereby increasing the implementation rates of acute stroke therapies.

Factors affecting the arrival time to hospital of patients with acute ischemic stroke

Objective: It is known that intravenous thrombolytic therapy in ischemic stroke is beneficial in selected patients who arrived within the first 4.5 hours after the onset of the symptoms and the effectiveness of the treatment depends on early arrival to the hospital. The more patients arrival to the hospital within this time zone, the more they will have the chance to receive thrombolytic therapy. This study aims to investigate the factors that cause delay in the arrival of patients with ischemic stroke to the hospital. Methods: Patients diagnosed with acute ischemic stroke who applied to the neurology outpatient clinic and emergency room between February and May 2019 were included in the study. A direct interview survey was conducted to investigate the factors that delay the arrival to patients or relatives of the patients arrival to Bursa Yuksek Ihtisas Training and Research Hospital due to acute stroke. According to the time of arrival to the hospital after the onset of stroke symptoms, patients were classified as early ( 4.5 hours) and late arrival (> 4.5 hours). Based on this grouping, factors causing delay in patients' access to hospital were compared statistically. Results: A total of 251 patients and / or patient relatives who arrived to the emergency and neurology outpatient clinic were interviewed. Of the 251 patients included in the study, 119 (47.4%) were female and the mean age was 70 (34-94) years. Approximately 72.5% of the patients were arrived in the first 4.5-hour slice after the onset of stroke symptoms. Factors causing late arrival were determined as being female, having low NIHSS score and not using ambulance in transportation. Conclusion: Due to the delay in arrival of 27.5% of the patients, there is no chance to apply thrombolytic therapy to eligible ones. The factors resulting in the delay were discovered as female gender, low severity of the stroke and transportation without ambulance. In this respect, community-oriented trainings are required.

Care and Discharge Outcome of Acute Stroke in Lebanon: A Hospital-Based Study

The present study was conducted to assess stroke care and outcomes in two Lebanese hospitals. Patients admitted in 2012 and 2013 were retrospectively selected. Data were extracted from medical records for time to hospital arrival, stroke severity, management, and discharge outcomes. A Cox regression analysis was then conducted to predict time to in-hospital death. A total of 201 patients were included (mean age = 69.2 years), among whom 50% arrived within a delay of 3.75 hours. Half underwent brain imaging in the first hour, and nine patients received an acute intervention. Forty-four patients died at the hospital; 142 were discharged home, among whom 98 patients were dependent in their daily activities. Stroke severity on admission and time from onset to arrival were found to be significantly associated to the time to in-hospital death (adjusted hazard ratio [HRa] = 1.13 and HRa = 0.98 respectively; p < 0.05). The study sheds light on high case fatality and dependency rates at discharge among stroke patients in Lebanese hospitals.

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.

Implementing Evidence-Based Practices for Acute Stroke Care in Low- and Middle-Income Countries

PURPOSE OF REVIEW

Most strokes occur in low- and middle-income countries where resources to manage patients are limited. We explore the resources required to providing optimal acute stroke care and review barriers to implementing evidence-based stroke care in settings with limited resources using the World Stroke Organization's Global Stroke Services Action Plan framework.

RECENT FINDINGS

Major advances have been made during the past few decades in stroke prevention, treatment, and rehabilitation. These advances have been translated into practice in many high-income countries, but their uptake remains suboptimal in low- and middle-income countries. The review highlights the resources required to providing optimal acute stroke care in settings with limited resources. These resource levels were divided into minimal, essential, and advanced resources depending on the availability of stroke expertise, diagnostics, and facilities. Resources were described for the three stages of acute care: early diagnosis and management, acute management and prevention of complications, and early discharge and rehabilitation. Barriers to providing acute care at each of these stages in low- and middle-income countries are reviewed, explaining that some barriers persist in essential or advanced settings where some aspects of organized stroke units are available.

Pre-hospital delay and its associated factors in first-ever stroke registered in communities from three cities in China

This study aimed to explore pre-hospital delay and its associated factors in first-ever stroke registered in communities from three cities in China. The rates of delay greater than or equal to 2 hours were calculated and factors associated with delays were determined by non-conditional binary logistic regression, after adjusting for different explanatory factors. Among the 403 cases of stroke with an accurate documented time of prehospital delay, the median time (interquartile range) was 4.00 (1.50–14.00) hours. Among the 544 cases of stroke with an estimated time range of prehospital delay, 24.8% of patients were transferred to the emergency department or hospital within 2 hours, only 16.9% of patients with stroke were aware that the initial symptom represented a stroke, only 18.8% used the emergency medical service and one-third of the stroke cases were not identified by ambulance doctors. In the multivariate analyses, 8 variables or sub-variables were identified. In conclusion, prehospital delay of stroke was common in communities. Thus, intervention measures in communities should focus on education about the early identification of stroke and appropriate emergency medical service (EMS) use, as well as the development of organized stroke care.

Mild stroke: safety and outcome in patients receiving thrombolysis

OBJECTIVES

The aim of this study was to compare the short-term clinical outcome of patients with acute cerebral ischemia and mild symptoms receiving rt-PA with that of patients with acute cerebral ischemia and mild symptoms not treated with rt-PA, and to investigate the frequency of symptomatic intracranial hemorrhage (sICH) in these patients.

MATERIALS AND METHODS

All patients with confirmed ischemic stroke/TIA and mild symptoms were included. Mild symptoms were defined as NIHSS score≤5 on admission. Functional outcome was assessed with modified Rankin Scale (mRS) at day 7 or at earlier discharge. Excellent outcome was defined as mRS=0. sICH was defined according to both NINDS and ECASS III criteria.

RESULTS

Of 2753 patients with confirmed ischemic stroke/TIA admitted between February 2006 and February 2013, 966 (35.3%) were excluded because of having admission NIHSS>5. A total of 1791 patients presented with mild symptoms on admission (NIHSS≤5), of which 158 (8.8%) patients received rt-PA. Treatment with rt-PA and early admission were independently associated with excellent outcome. Higher NIHSS score on admission and prior ischemic stroke were independently associated with poor outcome. Three (1.9%) sICH were diagnosed in rt-PA-treated patients and one (0.1%) in patients not receiving rt-PA.

CONCLUSIONS

This study highlights the efficacy of rt-PA in patients with acute cerebral ischemia presenting with mild symptoms and confirms the low-risk profile of this treatment.

Factors associated with early hospital arrival in acute ischemic stroke patients

Early diagnosis and treatment in acute ischemic stroke are crucial in terms of survival and disability. Many stroke patients remain disabled because of the treatment delay. The purpose of this study was to investigate the factors associated with the early hospital arrival in acute ischemic stroke patients. 113 patients diagnosed with acute ischemic stroke were included in this prospective study performed at the Karadeniz Technical University Medical Faculty Hospital. Patients' characteristics and patients' and relatives' emotional and behavioral reactions were compared between early (within 3 h) and late (after 3 h) arrival groups. 72.6 % of patients arrived at hospital within 3 h from symptoms onset. Univariate analysis revealed that history of atrial fibrillation (p = 0.04) and coronary heart disease (p = 0.02), sudden onset of symptoms (p = 0.001), loss of consciousness (p = 0.03), recognizing symptoms as stroke (p = 0.01), seeking immediate medical attention (p < 0.001), feelings of fear and panic (p = 0.001), arriving at hospital by ambulance having called the emergency medical services (p = 0.04) and National Institute of Health Stroke Scale (NIHSS) score (p = 0.001) were associated with hospital arrival within 3 h. A multivariate regression model demonstrated that recognizing symptoms as stroke (OR, 3.4; 95 % CI, 1.2-9.3) and atrial fibrillation (OR, 4.3; 95 % CI, 1.1-15.7) were independent factors associated with early arrival. The role in early arrival at hospital of recognizing symptoms as stroke and seeking immediate medical attention with transportation by ambulance emphasize the importance of public awareness concerning recognizing the symptoms of stroke and accessing emergency medical assistance.

Stroke awareness decreases prehospital delay after acute ischemic stroke in Korea

BACKGROUND

Delayed arrival at hospital is one of the major obstacles in enhancing the rate of thrombolysis therapy in patients with acute ischemic stroke. Our study aimed to investigate factors associated with prehospital delay after acute ischemic stroke in Korea.

METHODS

A prospective, multicenter study was conducted at 14 tertiary hospitals in Korea from March 2009 to July 2009. We interviewed 500 consecutive patients with acute ischemic stroke who arrived within 48 hours. Univariate and multivariate analyses were performed to evaluate factors influencing prehospital delay.

RESULTS

Among the 500 patients (median 67 years, 62% men), the median time interval from symptom onset to arrival was 474 minutes (interquartile range, 170-1313). Early arrival within 3 hours of symptom onset was significantly associated with the following factors: high National Institutes of Health Stroke Scale (NIHSS) score, previous stroke, atrial fibrillation, use of ambulance, knowledge about thrombolysis and awareness of the patient/bystander that the initial symptom was a stroke. Multivariable logistic regression analysis indicated that awareness of the patient/bystander that the initial symptom was a stroke (OR 4.438, 95% CI 2.669-7.381), knowledge about thrombolysis (OR 2.002, 95% CI 1.104-3.633) and use of ambulance (OR 1.961, 95% CI 1.176-3.270) were significantly associated with early arrival.

CONCLUSIONS

In Korea, stroke awareness not only on the part of patients, but also of bystanders, had a great impact on early arrival at hospital. To increase the rate of thrombolysis therapy and the incidence of favorable outcomes, extensive general public education including how to recognize stroke symptoms would be important.

Stroke education: discrepancies among factors influencing prehospital delay and stroke knowledge

BACKGROUND

Time is essential for the treatment of acute stroke. Much time is lost outside the hospital, either due to failure in identifying stroke symptoms or due to a delay in notification or transport. We review studies reporting factors associated with better stroke knowledge and shorter time delays. We summarise the evidences for the effect of stroke knowledge and education on people's reaction in the acute situation of stroke.

METHODS

We searched MEDLINE for studies reporting factors associated with prehospital time of stroke patients, or knowledge of stroke symptoms. Further, we searched for studies reporting educational interventions aimed at increasing stroke symptom knowledge in the population.

FINDINGS

We included a total of 182 studies. Surprisingly, those factors associated with better stroke knowledge such as education and sociodemographic variables were not related to shorter time delays. Few studies report shorter time delays or better stroke knowledge in persons having suffered a previous stroke. Factors associated with shorter time delays were more severe stroke and symptoms regarded as serious, but not better knowledge about the most frequent symptoms such as hemiparesis or disorders of speech. Only 25-56% of patients recognised their own symptoms as stroke. While stroke education increases the knowledge of warning signs, a few population studies measured the impact of education on time delays; in such studies, time delays decreased after education. This may partly be mediated by better organisation of EMS and hospitals.

INTERPRETATION

There is a discrepancy between theoretical stroke knowledge and the reaction in an acute situation. Help-seeking behaviour is more dependent on the perceived severity of symptoms than on symptom knowledge. Bystanders play an important role in the decision to call for help and should be included in stroke education. Education is effective and should be culturally adapted and presented in a social context. It is unclear which educational concept is best suited to enhance symptom recognition in the acute situation of stroke, especially in view of discrepancies between knowledge and action.

Early identification and delay to treatment in myocardial infarction and stroke: differences and similarities

Background

The two major complications of atherosclerosis are acute myocardial infarction (AMI) and acute ischemic stroke. Both are life-threatening conditions characterised by the abrupt cessation of blood flow to respective organs, resulting in an infarction. Depending on the extent of the infarction, loss of organ function varies considerably.

In both conditions, it is possible to limit the extent of infarction with early intervention. In both conditions, minutes count.

This article aims to describe differences and similarities with regard to the way patients, bystanders and health care providers act in the acute phase of the two diseases with the emphasis on the pre-hospital phase.

Method

A literature search was performed on the PubMed, Embase (Ovid SP) and Cochrane Library databases.

Results

In both conditions, symptoms vary considerably. Patients appear to suspect AMI more frequently than stroke and, in the former, there is a gender gap (men suspect AMI more frequently than women).

With regard to detection of AMI and stroke at dispatch centre and in Emergency Medical Service (EMS) there is room for improvement in both conditions. The use of EMS appears to be higher in stroke but the overall delay to hospital admission is shorter in AMI. In both conditions, the fast track concept has been shown to influence the delay to treatment considerably.

In terms of diagnostic evaluation by the EMS, more supported instruments are available in AMI than in stroke. Knowledge of the importance of early treatment has been reported to influence delays in both AMI and stroke.

Conclusion

Both in AMI and stroke minutes count and therefore the fast track concept has been introduced. Time to treatment still appears to be longer in stroke than in AMI. In the future improvement in the early detection as well as further shortening to start of treatment will be in focus in both conditions. A collaboration between cardiologists and neurologists and also between pre-hospital and in-hospital care might be fruitful.