Pre-hospital and in-hospital delays after onset of acute ischemic stroke: a hospital-based study in southern Taiwan

Management of Ischemic Stroke in a Tertiary Care Hospital in Khyber Pakhtunkhwa: Existing Status and Prospective Opportunities

Background and objective Khyber Pakhtunkhwa is the third largest province of Pakistan by population and has a high incidence of ischemic stroke. We evaluated all patients who presented to the largest tertiary care facility in the province to learn about the current trends in the management of ischemic stroke and explore future opportunities in this regard.  Materials and methods This prospective observational research was carried out at the Lady Reading Hospital-Medical Teaching Institute (LRH-MTI), Peshawar, in the province of Khyber Pakhtunkhwa (KP). The hospital's ethics committee granted the required permissions for the research. Any patient with an ischemic stroke diagnosis, regardless of age, met the inclusion criteria if their diagnosis was confirmed by clinical assessment, imaging (such as CT or MRI), or both. The clinical parameters that were evaluated included the duration since the patient's reported onset of symptoms, the patient's first mode of transfer to the hospital (such as ambulance, private vehicle, or other means), and the date and time of admission to the hospital. A structured database containing the data was utilized, and IBM SPSS Statistics for Windows, Version 25 (released 2017; IBM Corp., Armonk, New York, United States) was used for statistical analysis. Results One hundred fifty-six stroke patients were diagnosed throughout the study period, with 76 of them having an ischemic stroke, accounting for 49% of all stroke cases. Approximately 43% (n = 33) of the patients were from Peshawar, with the remaining patients coming from adjacent districts. There was only a small percentage (19%, n = 15) of patients who were eligible for any thrombolytic therapy, and the majority (93%) were brought by private vehicles. There was a significant association between age and arrival in the emergency room (p = 0.003). Conclusion The study reveals subpar ischemic stroke management in Khyber Pakhtunkhwa, requiring coordinated efforts, modernization of treatment methods, and increased public awareness to improve patient outcomes.

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.

Access to acute stroke care: A retrospective descriptive analysis of stroke patients' journey to a district hospital

Introduction

The burden of stroke in Africa has increased in the last two decades, with the population undergoing a rapid epidemiological transition, with a rise in the incidence of stroke risk factors together with the gradual aging of the population. Evidence-based guidelines for acute stroke care are often not feasible in resource challenged settings but even when resources are available, considerable delays to definitive care exists. This study aims to describe the factors that influence time from symptom onset to hospital arrival in patients that present to a district level hospital Emergency Centre with confirmed ischaemic strokes.

Methods

A descriptive analysis was performed using a retrospective folder and database review. All adult patients with a confirmed ischaemic stroke, on Computed Tomography (CT) scan, presenting to Mitchells Plain Hospital Emergency Centre during the study period of 12 months (1st of January 2019 to 31st of December 2019), were eligible for inclusion. Data were collected from existing electronic patient databases and the time from onset of symptoms to hospital arrival was extracted from the clinical notes.

Results

A total of 730 (2%) patients presented with a diagnosis of stroke, of which 381 (52%) were included (CT confirmed ischaemic strokes). Only 48 (13%) presented within 4.5 h of symptom onset and the median time from onset of symptoms to presentation to the hospital was 24 h (IQR 12-72 h). The majority of patients (31%) arrived via a primary public emergency medical service (EMS) call, while 29% presented directly to the hospital as self-referrals with private transport. Primary public EMS calls had the shortest call-to-hospital-arrival time (1 hour and 31 minutes), even though the median time from symptom onset to hospital arrival was still 16 h.

Conclusion

The median time from symptom onset to hospital arrival for patients with stroke symptoms is much longer than what evidence-based guidelines suggest. The chain of survival for emergency stroke care is only as strong as its weakest link and the data from this study suggest that improvement campaigns should target stroke education and access to care.

Time Window for Acute Stroke Treatment: Current Practice in King Abdullah Medical City Specialist Hospital in Makkah, Saudi Arabia

Introduction

Stroke has become one of the most severe causes of long-term neurological impairment and disability and is considered one of the leading causes of mortality worldwide. This study aimed to determine time delays in stroke patients from symptoms onset to treatment with tissue plasminogen activator (tPA) initiation in King Abdullah Medical City Specialist Hospital, Makkah, Saudi Arabia.

Patients and methods

We reviewed 81 patients who suffered from acute stroke. The data were collected from patients’ electronic and paper files. Patients were divided into two main categories based on interval time from recognition of symptoms to tPA treatment. Patients were divided into early treatment, if the duration was less than or equal to 120 minutes, and delayed treatment, if the interval time was more than 120 minutes.

Results

Nearly two-thirds (64.2%) were males, and more than half (5.6%) were in the older age group (>65 years). Patients who underwent thrombectomy were 7.4%. The mean value of the National Institutes of Health Stroke Scale (NIHSS) score was 10.7 (SD: 7.14). The mean time from symptoms onset to arrival at the hospital was 82.4 (SD: 44.1) minutes, while the total time from recognition of symptoms to tPA treatment was 154 (SD: 50.8) minutes. The prevalence of patients with delayed treatment was 72.8%, and the rest were assumed to have early treatment (27.2%). None of the socio-demographic variables were predicted to influence delayed treatment.

Conclusion

A significant number of patients were delayed in treatment. Patients' socio-demographic data and NIHSS scores seem to have no significant effect on delayed treatment. Further research is needed to establish the delay in time for pre-hospital and in-hospital treatment of stroke patients.

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.

Artificially-reconstructed brain images with stroke lesions from non-imaging data: modeling in categorized patients based on lesion occurrence and sparsity

Brain imaging is necessary for understanding disease symptoms, including stroke. However, frequent imaging procedures encounter practical limitations. Estimating the brain information (e.g., lesions) without imaging sessions is beneficial for this scenario. Prospective estimating variables are non-imaging data collected from standard tests. Therefore, the current study aims to examine the variable feasibility for modelling lesion locations. Heterogeneous variables were employed in the multivariate logistic regression. Furthermore, patients were categorized (i.e., unsupervised clustering through k-means method) by the charasteristics of lesion occurrence (i.e., ratio between the lesioned and total regions) and sparsity (i.e., density measure of lesion occurrences across regions). Considering those charasteristics in models improved estimation performances. Lesions (116 regions in Automated Anatomical Labeling) were adequately predicted (sensitivity: 80.0-87.5% in median). We confirmed that the usability of models was extendable to different resolution levels in the brain region of interest (e.g., lobes, hemispheres). Patients' charateristics (i.e., occurrence and sparsity) might also be explained by the non-imaging data as well. Advantages of the current approach can be experienced by any patients (i.e., with or without imaging sessions) in any clinical facilities (i.e., with or without imaging instrumentation).

Dynamic Changes and Temporal Association with Ambient Temperatures: Nonlinear Analyses of Stroke Events from a National Health Insurance Database

BACKGROUND

The associations between ambient temperatures and stroke are still uncertain, although they have been widely studied. Furthermore, the impact of latitudes or climate zones on these associations is still controversial. The Tropic of Cancer passes through the middle of Taiwan and divides it into subtropical and tropical areas. Therefore, the Taiwan National Health Insurance Database can be used to study the influence of latitudes on the association between ambient temperature and stroke events.

METHODS

In this study, we retrieved daily stroke events from 2010 to 2015 in the New Taipei and Taipei Cities (the subtropical areas) and Kaohsiung City (the tropical area) from the National Health Insurance Research Database. Overall, 70,338 and 125,163 stroke events, including ischemic stroke and intracerebral hemorrhage, in Kaohsiung City and the Taipei Area were retrieved from the database, respectively. We also collected daily mean temperatures from the Taipei and Kaohsiung weather stations during the same period. The data were decomposed by ensemble empirical mode decomposition (EEMD) into several intrinsic mode functions (IMFs). There were consistent 6-period IMFs with intervals around 360 days in most decomposed data. Spearman's rank correlation test showed moderate-to-strong correlations between the relevant IMFs of daily temperatures and events of stroke in both areas, which were higher in the northern area compared with those in the southern area.

CONCLUSIONS

EEMD is a useful tool to demonstrate the regularity of stroke events and their associations with dynamic changes of the ambient temperature. Our results clearly demonstrate the temporal association between the ambient temperature and daily events of ischemic stroke and intracranial hemorrhage. It will contribute to planning a healthcare system for stroke seasonally. Further well-designed prospective studies are needed to elucidate the meaning of these associations.

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.

Pre-Hospital Delay in Patients with Acute Ischemic Stroke in a Multicenter Stroke Registry: K-PLUS

PURPOSE

There is scant data related to prehospital delay in cases of acute ischemic stroke from multicenter studies conducted after change of the therapeutic window of intravenous tissue plasminogen activator (iv-tPA) administration to within 4.5 h of onset. We investigated factors causing prehospital delay and their associations with clinical outcomes using data from a regional multicenter stroke registry.

METHODS

Data from the multicenter regional stroke registry were analyzed. Patients admitted within 24 h of the last known well time were categorized according to whether their admission was early (≤ 4 h; n = 2350) or delayed (> 4 h; n = 2752). We then compared patients' backgrounds and outcomes between the two groups.

RESULTS

Five-thousand, one-hundred two patients presented at hospitals within 24 h of onset. On multivariate analysis, atrial fibrillation, higher NIHSS score on admission, anterior circulation stroke, detection of symptoms immediately after onset, and emergency system use were positively associated with early admission, whereas modified Rankin Scale (mRS) score before onset, onset at home, diabetes, current smoking, dementia and symptom detection between 00:00 and 06:00 h were negatively associated. Early admission was associated with mRS scores of 0-2 at discharge independent of backgrounds, stroke severity, and thrombolytic therapy (odds ratio, 1.56; 95% confidence interval, 1.32-1.84).

CONCLUSIONS

Certain patient factors relating to prehospital delay, such as lack of awareness of onset or non-cardioembolic etiology, are crucial but often inevitable. However, earlier admission was associated mRS scores of 0-2 independent of other factors. This study may help to plan educational activities to general population or public awareness campaigns.

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.

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.

Pre-hospital Delay after Acute Ischemic Stroke in Central Urban China: Prevalence and Risk Factors

Timely thrombolytic treatment is paramount after acute ischemic stroke (AIS); however, a large proportion of patients experience substantial delays in presentation to hospital. This study evaluates the prevalence and risk factors in pre-hospital delays after AIS in central urban China. AIS patients from 66 hospitals in 13 major cities across Hubei Province, between October 1, 2014 and January 31, 2015 were interviewed and their medical records were reviewed to identify those who suffered pre-hospital delays. Bivariate and multivariate analyses were undertaken to determine the prevalence rates and the risk factors associated with pre-hospital delays. A total of 1835 patients were included in the analysis, with 69.3 % patients reportedly arrived at hospital 3 or more hours after onset and 55.3 % patients arrived 6 or more hours after onset. Factors associated with increased pre-hospital delays for 3 or more hours were as follows: patient had a history of stroke (odds ratio (OR), 1.319, P = 0.028), onset location was at home (OR, 1.573, P = 0.002), and patients rather than someone else noticed the symptom onset first (OR, 1.711; P < 0.001). In contrast, knowing someone who had suffered a stroke, considering any kind of the symptoms as severe, transferring from a community-based hospital factors, calling emergency number (120), and shorter distance from the onset place to the first hospital were independently associated with decreased pre-hospital delays. These findings indicate that pre-hospital delays after AIS are common in urban central China, and future intervention programs should be focused on public awareness of stroke and appropriate response.

Instrument development and validation of the stroke pre-hospital delay behavior intention scale in a Chinese urban population

Background

Several stroke impairment scales are currently available for stroke patients but none of them provide information regarding the pre-stroke behavioral intentions of high-risk stroke patients and their relatives. This study’s objective was to generate and validate a new written tool, the Stroke Pre-hospital Delay Behavior Intention (SPDBI) scale. It is suitable for use with high-risk stroke patients and their relatives to predict the likelihood of pre-hospital delay.

Methods

From a review of related studies, we formulated a prototype scale. We interviewed ten stroke patients in a semi-structured iterative process that included interviews with experts, high-risk patients, and their family members. Then, we pretested and filtered items. We next used a large sample size and factor analysis to determine the scale’s structure. Finally, we checked the reliability and validity of the scale.

Results

We identified five sub-domains (stroke warning signs, non-treatment justification, symptom attributions, habitual response style, and emergency system use). The SPDBI demonstrated good internal consistency and test-retest reliability (Cronbach’s α =0.808; Intraclass Correlation Coefficient [ICC] =0.797).

Conclusions

This SPDBI scale is a reliable, and valid measure of the likeliness of pre-hospital delay in high-risk stroke patients and their family members. It may provide scientific assessment for targeted health education intervention.

Electronic supplementary material

The online version of this article (doi:10.1186/s12955-014-0170-8) contains supplementary material, which is available to authorized users.

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.

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

BACKGROUND AND PURPOSE

Early treatment (i.e. thrombolysis) is crucial for a successful care of ischemic stroke. In the management of stroke, two phases are crucial: the pre-hospital and the in-hospital interval. This work investigated factors influencing pre- and in-hospital delay in a large geographic area of Northern Italy.

METHODS

Enrolled were patients presenting with ischemic stroke in four administrative districts of Northern Italy (Como, Lecco, Sondrio and Varese) over a 4-month period. Pre-hospital time and in-hospital time with single management steps were recorded prospectively. Age, gender, recruiting hospital, EMS transport and triage codes, clinical severity and thrombolytic treatment were also recorded. Univariate and multivariate analysis of factors predicting pre- and in-hospital delay were performed.

RESULTS

Median pre-hospital time and in-hospital time were, respectively, 120 min (interquartile range, IQR 62-271) and 150 min (IQR 80-214). Pre-hospital time was halved in patients hospitalized via EMS (p<0.001) and clinically more severe (p<0.001). At multivariate analysis, transport code was associated with delay at any time (p<0.05).

CONCLUSIONS

EMS use and transport code predicted treatment delay in patients with ischemic stroke. A more intensive use of EMS and high urgency codes could help increase the number of stroke patients treated appropriately.

A Parallel Thrombolysis Protocol with Nurse Practitioners As Coordinators Minimized Door-to-Needle Time for Acute Ischemic Stroke

Introduction. Quick thrombolysis after stroke improved clinical outcomes. The study objective was to shorten door-to-needle time for thrombolysis. Methods. After identifying the sources of in-hospital delays, we developed a protocol with a parallel algorithm and recruited nurse practitioners into the acute stroke team. We applied the new protocol on stroke patients from October 2009 to September 2010. Patients from the previous two years were used for comparison. Results. For ischemic stroke patients within 3 hours of onset, the median time from arrival to computed tomography scanning was reduced from 29 to 20 minutes (P < 0.001) and the median time from arrival to neurology evaluation decreased from 61 to 43 minutes (P < 0.001). For those patients who received thrombolysis, the median door-to-needle time was shortened from 68.5 to 58 minutes (P < 0.05). Conclusions. The parallel thrombolysis protocol successfully improved the median door-to-needle time to below the guideline-recommended 60 minutes.

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.

A comprehensive review of prehospital and in-hospital delay times in acute stroke care

The purpose of this study was to systematically review and summarize prehospital and in-hospital stroke evaluation and treatment delay times. We identified 123 unique peer-reviewed studies published from 1981 to 2007 of prehospital and in-hospital delay time for evaluation and treatment of patients with stroke, transient ischemic attack, or stroke-like symptoms. Based on studies of 65 different population groups, the weighted Poisson regression indicated a 6.0% annual decline (P<0.001) in hours/year for prehospital delay, defined from symptom onset to emergency department arrival. For in-hospital delay, the weighted Poisson regression models indicated no meaningful changes in delay time from emergency department arrival to emergency department evaluation (3.1%, P=0.49 based on 12 population groups). There was a 10.2% annual decline in hours/year from emergency department arrival to neurology evaluation or notification (P=0.23 based on 16 population groups) and a 10.7% annual decline in hours/year for delay time from emergency department arrival to initiation of computed tomography (P=0.11 based on 23 population groups). Only one study reported on times from arrival to computed tomography scan interpretation, two studies on arrival to drug administration, and no studies on arrival to transfer to an in-patient setting, precluding generalizations. Prehospital delay continues to contribute the largest proportion of delay time. The next decade provides opportunities to establish more effective community-based interventions worldwide. It will be crucial to have effective stroke surveillance systems in place to better understand and improve both prehospital and in-hospital delays for acute stroke care.