Tiempo de llegada hospitalaria y pronóstico funcional después de un infarto cerebral: resultados del estudio PREMIER

Association between Prehospital Visits and Poor Health Outcomes in Korean Acute Stroke Patients: A National Health Insurance Claims Data Study

This study aimed to determine whether prehospital visits to other medical institutions before admission are associated with prolonged hospital stay, readmission, or mortality rates in acute stroke patients. Using the claims data from the Korean Health Insurance Service, a cross-sectional study was conducted on 58,418 newly diagnosed stroke patients aged ≥ 20 years from 1 January 2019 to 31 December 2019. Extended hospital stay (≥7 days; median value) following initial admission, readmission within 180 days after discharge, and all-cause mortality within 30 days were measured as health outcomes using multiple logistic regression analysis after adjusting for age, sex, income, residential area, and medical history. Stroke patients with a prehospital visit (10,992 patients, 18.8%) had a higher risk of long hospitalization (odds ratio = 1.06; 95% confidence interval = 1.02-1.10), readmission (1.19; 1.14-1.25), and mortality (1.23; 1.13-1.33) compared with patients without a prehospital visit. Female patients and those under 65 years of age had increased unfavorable outcomes (p < 0.05). Prehospital visits were associated with unfavorable health outcomes.

Delivering acute stroke care in a middle-income country. The Mexican model: "ResISSSTE Cerebro"

Introduction

Founded in 2019, the "ResISSSTE Cerebro" program is the first and only stroke network within the Mexican public health system. One advanced stroke center (ASC) and seven essential stroke centers (ESC) provide acute stroke (AS) care through a modified hub-and-spoke model. This study describes the workflow, metrics, and outcomes in AS obtained during the program's third year of operation.

Materials and methods

Participants were adult beneficiaries of the ISSSTE health system in Mexico City with acute focal neurological deficit within 24 h of symptom onset. Initial evaluation could occur at any facility, but the stroke team at the ASC took all decisions regarding treatment and transfers of patients. Registered variables included demographics, stroke risk factors, AS treatment workflow time points, and clinical outcome measures.

Results

We analyzed data from 236 patients, 104 (44.3%) men with a median age of 71 years. Sixty percent of the patients were initially evaluated at the ESC, and 122 (85.9%) were transferred to the ASC. The median transfer time was 123 min. The most common risk factor was hypertension (73.6%). Stroke subtypes were ischemic (86.0%) and hemorrhagic (14.0%). Median times for onset-to-door, door-to-imaging, door-to-needle, and door-to-groin were: 135.5, 37.0, 76.0, and 151.5 min, respectively. The rate of intravenous thrombolysis was 35%. Large vessel occlusion was present in 63 patients, from whom 44% received endovascular therapy; 71.4% achieved early clinical improvement (median NIHSS reduction of 11 points). Treatment-associated morbimortality was 3.4%.

Conclusion

With the implementation of a modified hub-and-spoke model, this study shows that delivery of AS care in low- and middle-income countries is feasible and achieves good clinical outcomes.

Acute Stroke Care in Mexico City: The Hospital Phase of a Stroke Surveillance Study

Background: Acute stroke care has greatly improved in recent decades. However, the increasing stroke mortality in low-to-middle income countries suggests that progress has not been reached completely by these populations. Here we present the analysis of the hospital phase of the first population-based stroke surveillance study. Methods: A daily hospital surveillance method was used to identify adult patients with acute stroke during 18 months in six hospitals. We abstracted data on demographics, vascular risk factors, neuroimaging-confirmed stroke types, and clinical data. Results: A total of 1361 adults with acute stroke were identified (mean age 69.2 years; 52% women) with transient ischemic attack (5.5%), acute ischemic stroke (68.6%), intracerebral hemorrhage (23.1%), cerebral venous thrombosis (0.2%), and undetermined stroke (2.6%). The main risk factors were hypertension (80.7%) and diabetes mellitus (47.6%). The usage rate of thrombolysis was 3.6%, in spite of the fact that 37.2% of acute ischemic stroke patients arrived in <4.5 h. The 30-day case fatality rate was 32.6%, higher in hemorrhagic than ischemic stroke. Conclusion: We identified limitations in acute stroke care in the Mexico City, including neuroimaging availability and thrombolysis usage. The door-to-door phase will help to depict the acute stroke burden in Mexico.

Impact of onset-to-door time on outcomes and factors associated with late hospital arrival in patients with acute ischemic stroke

Background and purpose

Previous studies have reported that early hospital arrival improves clinical outcomes in patients with acute ischemic stroke; however, whether early arrival is associated with favorable outcomes regardless of reperfusion therapy and the type of stroke onset time is unclear. Thus, we investigated the impact of onset-to-door time on outcomes and evaluated the predictors of pre-hospital delay after ischemic stroke.

Methods

Consecutive acute ischemic stroke patients who arrived at the hospital within five days of onset from September 2019 to May 2020 were selected from the prospective stroke registries of Seoul National University Hospital and Chung-Ang University Hospital of Seoul, Korea. Patients were divided into early (onset-to-door time, ≤4.5 h) and late (>4.5 h) arrivers. Multivariate analyses were performed to assess the effect of early arrival on clinical outcomes and predictors of late arrival.

Results

Among the 539 patients, 28.4% arrived early and 71.6% arrived late. Early hospital arrival was significantly associated with favorable outcomes (three-month modified Rankin Scale [mRS]: 0−2, adjusted odds ratio [aOR]: 2.03, 95% confidence interval: [CI] 1.04–3.96) regardless of various confounders, including receiving reperfusion therapy and type of stroke onset time. Furthermore, a lower initial National Institute of Health Stroke Scale (NIHSS) score (aOR: 0.94, 95% CI: 0.90–0.97), greater pre-stroke mRS score (aOR: 1.58, 95% CI: 1.18–2.13), female sex (aOR: 1.71, 95% CI: 1.14–2.58), unclear onset time, and ≤6 years of schooling (aOR: 1.76, 95% CI: 1.03–3.00 compared to >12 years of schooling) were independent predictors of late arrival.

Conclusions

Thus, the onset-to-door time of≤4.5 h is crucial for better clinical outcome, and lower NIHSS score, greater pre-stroke mRS score, female sex, unclear onset times, and ≤6 years of schooling were independent predictors of late arrival. Therefore, educating about the importance of early hospital arrival after acute ischemic stroke should be emphasized. More strategic efforts are needed to reduce the prehospital delay by understanding the predictors of late arrival.

Association between smoking status and outcomes in myocardial infarction patients undergoing percutaneous coronary intervention

Smoking is one of the leading risk factors for cardiovascular diseases, including ischemic heart disease and hypertension. However, in acute myocardial infarction (AMI) patients, smoking has been associated with better clinical outcomes, a phenomenon termed the “smoker’s paradox.” Given the known detrimental effects of smoking on the cardiovascular system, it has been proposed that the beneficial effect of smoking on outcomes is due to age differences between smokers and non-smokers and is therefore a smoker’s pseudoparadox. The aim of this study was to evaluate the association between smoking status and clinical outcomes in ST-segment elevation (STEMI) and non-STEMI (NSTEMI) patients treated by percutaneous coronary intervention (PCI), using a national multi-ethnic Asian registry. In unadjusted analyses, current smokers had better clinical outcomes following STEMI and NSTEMI. However, after adjusting for age, the protective effect of smoking was lost, confirming a smoker’s pseudoparadox. Interestingly, although current smokers had increased risk for recurrent MI within 1 year after PCI in both STEMI and NSTEMI patients, there was no increase in mortality. In summary, we confirm the existence of a smoker’s pseudoparadox in a multi-ethnic Asian cohort of STEMI and NSTEMI patients and report increased risk of recurrent MI, but not mortality, in smokers.

A Nomogram to Predict Lifestyle Factors for Recurrence of Large-Vessel Ischemic Stroke

Background

Stroke is the leading cause of morbidity and mortality in China. Recurrent stroke (RS) could occur in a significant portion of patients with ischemic stroke with devastating consequence.

Methods

To investigate the association between lifestyle and the risk of RS in Chinese patients with acute large-vessel ischemic stroke (ALVIS). A total of 258 patients with ALVIS were recruited in the study (median age 63 years, 30.6% female), and followed for a median of 366 days. The primary outcomes were first RS. Cox Regression and Akaike information criterion were used to establish the best-fit nomograms.

Results

During follow-up, 38 of 258 (14.7%) participants had the primary endpoint event. After adjusting for confounding factors in multivariate Cox regression analysis, healthy lifestyles, including bland diet (hazard ratio [HR], 0.365; 95% CI, 0.138–0.965), daily fruit consumption (HR, 0.474; 95% CI, 0.238–0.945), good sleep (HR, 0.364; 95% CI, 0.180–0.739), housework: HR (0.461; 95% CI, 0.200–1.065), and HDL (HR, 0.329; 95% CI, 0.130–0.831) were associated with significantly decreased risk for RS after ALVIS, while smoking was associated with a substantial increase in RS risk (HR, 2.590; 95% CI, 1.340–5.005) and included into the nomogram. A weighted point (from 0 to 100) was given to each risk factor, and the total points could be used to predict the probability of RS for the patient.

Conclusion

The nomogram shows that healthy lifestyles (bland diet, daily fruit consumption, good sleep, cigarette cessation, and housework) were important for reducing RS in patients with ALVIS.

Prediction of acute neurovascular syndromes with prehospital clinical features witnessed by bystanders

BACKGROUND

The prompt recognition of an acute neurovascular syndrome by the patient or a bystander witnessing the event can directly influence outcome. We aimed to study the predictive value of the medical history and clinical features recognized by the patients' bystanders to preclassify acute stroke syndromes in prehospital settings.

METHODS

We analyzed 369 patients: 209 (56.6%) with acute ischemic stroke (AIS), 107 (29.0%) with intracerebral hemorrhage (ICH), and 53 (14.4%) with subarachnoid hemorrhage (SAH). All patients had neuroimaging as diagnostic gold standard. We constructed clinical prediction rules (CPRs) with features recognized by the bystanders witnessing the stroke onset to classify the acute neurovascular syndromes before final arrival to the emergency room (ER).

RESULTS

In all, 83.2% cases were referred from other centers, and only 16.8% (17.2% in AIS, 15% in ICH, and 18.9% in SAH) had direct ER arrival. The time to first assessment in ≤ 3 h occurred in 72.4% (73.7%, 73.8%, and 64.2%, respectively), and final ER arrival in ≤ 3 h occurred in 26.8% (32.1%, 15.9%, and 28.3%, respectively). Clinical features referred by witnesses had low positive predictive values (PPVs) for stroke type prediction. Language or speech disorder + focal motor deficit showed 63.3% PPV, and 77.0% negative predictive value (NPV) for predicting AIS. Focal motor deficit + history of hypertension had 35.9% PPV and 78.8% NPV for ICH. Headache alone had 27.9% PPV and 95.3% NPV for SAH. In multivariate analyses, seizures, focal motor deficit, and hypertension increased the probability of a time to first assessment in ≤ 3 h, while obesity was inversely associated. Final ER arrival was determined by age and a direct ER arrival without previous referrals.

CONCLUSION

CPRs constructed with the witnesses' narrative had only adequate NPVs in the prehospital classification of acute neurovascular syndromes, before neuroimaging confirmation.

Chinese Stroke Association guidelines for clinical management of cerebrovascular disorders: executive summary and 2019 update on organizational stroke management

Aim

Stroke is characterised by high morbidity, mortality and disability, which seriously affects the health and safety of the people. Stroke has become a serious public health problem in China. Organisational stroke management can significantly reduce the mortality and disability rates of patients with stroke. We provide this evidence-based guideline to present current and comprehensive recommendations for organisational stroke management.

Methods

A formal literature search of MEDLINE (1 January 1997 through 30 September 2019) was performed. Data were synthesised with the use of evidence tables. Writing group members met by teleconference to discuss data-derived recommendations. The Chinese Stroke Association’s Levels of Evidence grading algorithm was used to grade each recommendation.

Results

Evidence-based guidelines are presented for the organisational management of patients presenting with stroke. The focus of the guideline was subdivided into prehospital first aid system of stroke, rapid diagnosis and treatment of emergency in stroke centre, organisational management of stroke unit and stroke clinic, construction of regional collaborative network among stroke centres and evaluation and continuous improvement of stroke medical quality.

Conclusions

The guidelines offer an organisational stroke management model for patients with stroke which might help dramatically.

Contribution of Onset-to-Alarm Time to Prehospital Delay in Patients with Ischemic Stroke

BACKGROUND

Stroke is a leading cause of death and disability. Tissue plasminogen activator (tPA) improves the clinical outcome when administered properly; however, the most important factor to receive tPA is time. The main reason for late hospital arrival is a considerable delay in onset-to-alarm time (OAT), comprising more than 50% of the onset-to-door time.

AIMS

To identify the factors associated with a delay in OAT and evaluate its contribution to onset-to-door time in ischemic stroke patients.

METHODS

Prospective cohort of stroke patients admitted to the UANL University Hospital. OAT was defined as the time from identification of stroke symptoms to the decision to seek medical attention.

RESULTS

A total of 189 patients were included. Mean age was 61 ± 13 years, 62% were men. One-hundred and one patients had a short OAT, but only 20.9% arrived during the first 3 hours after stroke onset. Being employed (P = 0032; odds ratio [OR] 2.784, 95% confidence interval [CI] 1.091-7.104), attributing symptoms to stroke (P = 0016; OR 3.348, 95% CI 1.254-8.936), and perceiving stroke symptoms as severe (P = 0031;OR 2.428, 95% CI 1.083-5.445) were associated with a shorter OAT.

CONCLUSIONS

OAT consumes a considerable amount of the onset-to-door time. It is necessary to increase stroke knowledge and emphasize the severity of stroke, regardless of the severity of its clinical manifestations to reduce the prehospital delay, especially in countries with limited access to treatment with an extended time frame.

When migraine mimics stroke: A systematic review

BACKGROUND

Migraine with aura may mimic an acute ischemic stroke, so that an improper administration of thrombolytic treatment can expose migrainous patients to severe adverse effects.

METHODS

This systematic review quantifies the relevance of migraine with aura among stroke mimics, checking for thrombolysis' safety in these patients. We reviewed the literature after 1995, distinguishing from studies dealing with stroke mimics treated with systemic thrombolysis and those who were not treated with systemic thrombolysis.

RESULTS

Migraine with aura is responsible for 1.79% (CI 95% 0.82-3.79%) of all the emergency Stroke Unit evaluations and it represents 12.24% (CI 95% 6.34-22.31%) of stroke mimics in the group not treated with systemic thrombolysis. 6.65% (CI 95% 4.32-9.78%) of systemic thrombolysis administrations are performed in patients without an acute ischemic stroke. Migraine with aura is responsible for 17.91% of these (CI 95% 13.29-23.71%). The reported rate of adverse events seems extremely low (0.01%).

CONCLUSION

Migraine with aura is the third most common stroke mimic, following seizures and psychiatric disorders; it is responsible for about 18% of all improper thrombolytic treatments. Despite the absence of strong supporting data, thrombolysis in migraine with aura seems to be a procedure with an extremely low risk of adverse events.

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.

Use of emergency medical transport and impact on time to care in patients with ischaemic stroke

INTRODUCTION

According to numerous studies, using emergency medical services (EMS) to transport stroke patients to hospitals decreases diagnostic and treatment delays.

OBJECTIVES

To determine the frequency of use of EMS by stroke patients in Bizkaia (Spain), analyse the factors associated with using EMS, and study the impact of EMS on time to care.

METHODS

We gathered data from 545 patients hospitalised for acute ischaemic stroke and recruited consecutively. Data were obtained from the patients' medical histories and interviews with the patients themselves or their companions. We studied the following variables: previous health status, stroke symptoms and severity (NIHSS), type of transport, and time to medical care. Univariate and multivariate analyses were performed to identify factors associated with use of EMS and care delays.

RESULTS

Patients transported to hospital by the EMS accounted for 47.2% of the total. Greater stroke severity, arriving at the hospital at night, and poor functional status at baseline were found to be independently associated with use of EMS. Use of EMS was linked to earlier arrival at the hospital. Door-to-imaging times were shorter in the EMS group; however, this association disappeared after adjusting for stroke severity. Revascularisation was more frequent among patients transported by the EMS.

CONCLUSIONS

EMS transport was associated with shorter prehospital delays. Effective health education programmes should be developed to promote EMS transport for patients with stroke symptoms. In-hospital stroke management should also be improved to reduce time to medical care.