Time interval between stroke onset and hospital arrival in acute ischemic stroke patients in Shanghai, China

Analyzing prehospital delays in recurrent acute ischemic stroke: Insights from interpretable machine learning

OBJECTIVE

This study investigates prehospital delays in recurrent Acute Ischemic Stroke (AIS) patients, aiming to identify key factors contributing to these delays to inform effective interventions.

METHODS

A retrospective cohort analysis of 1419 AIS patients in Shenzhen from December 2021 to August 2023 was performed. The study applied the Extreme Gradient Boosting (XGBoost) algorithm and SHapley Additive exPlanations (SHAP) for identifying determinants of delay.

RESULTS

Living with others and lack of stroke knowledge emerged as significant risk factors for delayed hospital presentation in recurrent AIS patients. Key features impacting delay times included residential status, awareness of stroke symptoms, presence of conscious disturbance, diabetes mellitus awareness, physical weakness, mode of hospital presentation, type of stroke, and presence of coronary artery disease.

CONCLUSION

Prehospital delays are similarly prevalent among both recurrent and first-time AIS patients, highlighting a pronounced knowledge gap in the former group. This discovery underscores the urgent need for enhanced stroke education and management.

PRACTICE IMPLICATION

The similarity in prehospital delay patterns between recurrent and first-time AIS patients emphasizes the necessity for public health initiatives and tailored educational programs. These strategies aim to improve stroke response times and outcomes for all patients.

Analysis of onset-to-door time and its influencing factors in Chinese patients with acute ischemic stroke during the 2020 COVID-19 epidemic: a preliminary, prospective, multicenter study

BACKGROUND

Pre-hospital delay in China is a serious issue with unclear relevant reasons, seriously impeding the adoption of appropriate measures. Herein, we analyzed the onset-to-door time (ODT) in Chinese patients with acute ischemic stroke (AIS) and its influencing factors.

METHODS

We prospectively recruited 3,459 patients with AIS from nine representative tertiary general hospitals in China between January and June 2022. Patients were divided into ODT ≤ 3 h and ODT > 3 h groups. Following single-factor analysis, binary logistic regression analysis was performed to evaluate the risk factors leading to pre-hospital delay.

RESULTS

In total, 763 (21.83%) patients arrived at the hospital within 3 h of onset. After adjusting for confounding factors, the risk factors for ODT were residence in rural areas (odds ratio [OR]: 1.478, 95% credibility interval [CI]: 1.024-2.146) and hospital transfer (OR: 7.479, 95% CI: 2.548-32.337). The protective factors for ODT were location of onset ≤ 20 km from the first-visit hospital (OR: 0.355, 95% CI: 0.236-0.530), transportation by emergency medical services (OR: 0.346, 95% CI: 0.216-0.555), history of atrial fibrillation (OR: 0.375, 95% CI: 0.207-0.679), moderate stroke (OR: 0.644, 95% CI: 0.462-0.901), and severe stroke (OR: 0.506, 95% CI: 0.285-0.908).

CONCLUSIONS

Most patients with AIS fail to reach a hospital within the critical 3-h window. The following measures are recommended to reduce pre-hospital delays: reasonable distribution of hospitals accessible to nearby residents, minimizing interhospital transfer, paying attention to patients with mild stroke, and encouraging patients to use ambulance services. Pre-hospital delays for patients can be reduced by implementing these measures, ultimately improving the timeliness of treatment and enhancing patient prognosis. This study was carried out amid the COVID-19 pandemic, which presented challenges and constraints.

Healthcare-Seeking Delays in Acute Ischemic Stroke Patients: The Influence of Gender, Immigrant Status, and Educational Background

Purpose

Timely medical attention is crucial for patients with Acute Ischemic Stroke (AIS), as delays can significantly impact therapeutic outcomes. These delays are influenced by a combination of socio-cultural, educational, and clinical factors.

Patients and Methods

An in-depth analysis was conducted to assess the prevalence and median duration of healthcare-seeking delays in AIS patients. The study specifically investigated the independent impacts of sociocultural and clinical determinants on these delays, with a focus on immigrant status, gender disparities, and educational levels. Multivariate regression analysis was employed to identify these independent effects while controlling for potential confounding factors.

Results

Among 1419 AIS patients, 82.52% (n = 1171) experienced delays exceeding 2 hours from symptom onset of symptoms to hospital arrival. The median delay was 12.3 hours. Immigrant populations encountering longer delays compared to native groups. Younger males (<45 years) and elderly females were more prone to delay in healthcare-seeking. Identified independent risk factors for delay included male gender (OR = 1.65 [95% CI:1.14-2.48]), self-acknowledged diabetes (OR = 2.50 [95% CI:1.21-5.17]), small vessel (OR = 2.07 [95% CI:1.27-3.36]), and wake stroke (OR = 7.04 [95% CI:3.69-13.44]). Educational background (high school and above), GCS score with 3-8 points (OR = 0.52 [95% CI:0.09-0.69]), understanding stroke-related knowledge (OR = 0.26 [95% CI:0.09-0.44]), conscious disturbance (OR = 0.25 [95% CI:0.10-0.62]) and limb weakness (OR=0.21[95% CI:0.21-0.49]) are protective factors for timely treatment.

Conclusion

Immigrant populations experienced longer delays from symptom onset to hospital arrival. The crucial roles of education and knowledge about stroke underscore the need for enhanced health literacy campaigns and public awareness, with a targeted focus on younger males and elderly females.

Age and geographic disparities in acute ischaemic stroke prehospital delays in China: a cross-sectional study using national stroke registry data

Background

Stroke has been the leading cause of death in China for decades. The extremely low intravenous thrombolysis rate is largely due to the prehospital delays that make patients ineligible for the time-sensitive therapy. Limited studies evaluated prehospital delays across China. We investigated prehospital delays in the stroke population across China and the associated age, rurality, and geographic disparities.

Methods

A cross-sectional study design was employed using the Bigdata Observatory platform for Stroke of China in 2020, the nationwide, prospective, multicentre registry of patients with acute ischaemic stroke (AIS). Mixed-effect regression models were used to account for the clustered data.

Findings

The sample contained 78,389 AIS patients. The median onset-to-door (OTD) time was 24 h, with only 11.79% (95% confidence interval [CI]: 11.56-12.02%) patients arriving at hospitals within 3 h. About 12.43% (95% CI: 12.11-12.74%) of patients 65 years or older arrived at hospitals within 3 h, which was significantly higher than the young and middle-aged patients (11.03%; 95% CI: 10.71-11.36%). After controlling for potential confounders, young and middle-aged patients were less likely to present to hospitals within 3 h (adjusted odds ratio: 0.95; 95% CI: 0.90-0.99) compared to patients 65 years or older. The 3-h hospital arrival rate was the highest in Beijing (18.40%, 95% CI: 16.01-20.79%), which was almost 5 times higher than that in Gansu (3.45%, 95% CI: 2.69-4.20%). The arrival rate in urban areas was almost 2 times higher than that in rural areas (13.35% versus. 7.66%).

Interpretation

We found that the low rates of timely arrival at hospitals after a stroke is more salient in the younger population, rural settings, or those residing in less developed geographic regions. This study calls for more tailored interventions focusing on younger people, rural areas, and less developed geographic regions.

Funding

The National Natural Science Foundation of China; CIHR, Grant/Award Number: 81973157, PI: JZ. Natural Science Foundation of Shanghai; CIHR, Grant/Award Number: 17dz2308400, PI: JZ. Funding from the University of Pennsylvania; Grant/Award Number: CREF-030, PI: RL.

Joint Associations of Short-Term Exposure to Ambient Air Pollutants with Hospital Admission of Ischemic Stroke

BACKGROUND

Studies have estimated the associations of short-term exposure to ambient air pollution with ischemic stroke. However, the joint associations of ischemic stroke with air pollution as a mixture remain unknown.

METHODS

We employed a time-stratified case-crossover study to investigate 824,808 ischemic stroke patients across China. We calculated daily mean concentrations of particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5), maximum 8-h average for O3 (MDA8 O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO) across all monitoring stations in the city where the IS patients resided. We conducted conditional logistic regression models to estimate the exposure-response associations.

RESULTS

Results from single-pollutant models showed positive associations of hospital admission for ischemic stroke with PM2.5 (excess risk [ER] = 0.38%, 95% confidence interval [CI]: 0.29% to 0.47%, for 10 μg/m3), MDA8 O3 (ER = 0.29%, 95% CI: 0.18% to 0.40%, for 10 μg/m3), NO2 (ER = 1.15%, 95% CI: 0.92% to 1.39%, for 10 μg/m3), SO2 (ER = 0.82%, 95% CI: 0.53% to 1.11%, for 10 μg/m3) and CO (ER = 3.47%, 95% CI: 2.70% to 4.26%, for 1 mg/m3). The joint associations (ER) with all air pollutants (for interquartile range width increases in each pollutant) estimated by the single-pollutant model was 8.73% and was 4.27% by the multipollutant model. The joint attributable fraction of ischemic stroke attributable to air pollutants based on the multipollutant model was 7%.

CONCLUSIONS

Short-term exposures to PM2.5, MDA8 O3, NO2, SO2, and CO were positively associated with increased risks of hospital admission for ischemic stroke. The joint associations of air pollutants with ischemic stroke might be overestimated using single-pollutant models. See video abstract at, http://links.lww.com/EDE/C8.

Associations between short-term exposure to ambient PM2.5 and incident cases of cerebrovascular disease in Yantai, China

There are limited studies examining the association between PM_2.5 exposure and incident cerebrovascular disease (CD) cases in China. In this study, daily counts of incident CD cases and daily PM_2.5 concentrations were obtained in Yantai, Shandong Province, China from 2014 to 2019. We used a combination of the Poisson-distribution generalized linear model (GLM) and a distributed lag nonlinear model (DLNM) to examine the association of short-term exposure to ambient PM_2.5 and incident cases of CD. The results revealed that for every 10 μg/m³ increment of PM_2.5 would increase the incident CD cases by 0.216% (RR:1.00216, 95%CI:1.0016-1.0028) at lag4. The stratified analysis demonstrated that the females and residents aged 65 years or above presented higher short-term PM_2.5-associated CD risks than the males and aged below 65 years. Targeted prevention strategies should be adopted to reduce the PM_2.5-related CD burden, especially for the susceptible population in China.

Association of ambient PM1 with hospital admission and recurrence of stroke in China

BACKGROUND

Particulate matter (PM) pollution is a well-known risk factor of stroke. However, little is known about the association between PM₁ (aerodynamic diameter ≤ 1.0 μm) and stroke. We estimated the associations of short-term exposure to PM₁ with hospital admission and recurrence of stoke in China.

METHODS

Stroke data were derived from the Chinese Stroke Center Alliance (CASA) program conducted in 1458 hospitals in 292 Chinese cities from 2015 to 2019. Daily air pollution and meteorological data were collected in the cities where studied hospitals were located. Daily PM₁ concentration was estimated by a generalized additive model (GAM) using PM_2.5 and meteorological variables. A time-stratified case-crossover design was applied to estimate the associations of short-term exposure to PM₁ with hospital admission of stroke. A GAM model was used to estimate the association between average PM₁ exposure during hospitalization and the recurrence of stroke.

RESULTS

A total of 989,591 stroke cases were included in the study. Each 10 μg/m³ increase in PM₁ (lag06-day) was associated with a 0.53% (95%CI, 0.39%, 0.67%) increment in hospital admission for stroke. The adverse effects of PM₁ on ischemic stroke was stronger than on intracerebral hemorrhage. We found the associations were significant in Northeast (0.94%, 95%CI, 0.51%, 1.38%), North (0.47%, 95%CI, 0.20%, 0.75%), Central (0.57%, 95%CI, 0.30%, 0.85%), and East China (0.63%, 95%CI, 0.27%, 0.99%). Of all stroke cases, 62,988 (6.4%) had recurrent stoke attack during their hospitalization. Each 10 μg/m³ increase in PM₁ was associated with a 1.64% (95%CI, 1.28%, 2.01%) increment in recurrence of stroke during hospitalization.

CONCLUSIONS

Short-term exposure to PM₁ may increase the risk of incidence and recurrence of stroke in China, and the effects varied across different types of stroke and regions. Geographically targeted strategies and measures are needed to control air pollution for reducing the burden of stroke from PM₁.

Association of short-term exposure to air pollution with recurrent ischemic cerebrovascular events in older adults

The acute effects of ambient air pollution on recurrence of ischemic cerebrovascular events (ICEs) remains largely unknown. We therefore conducted a time-stratified case-crossover study of 43,896 patients who were 60 years or older and were admitted to hospital for recurrent ICEs including ischemic stroke and transient ischemic attack in Guangzhou, China during 2016-2019. Based on each patient's home address and pollutant data from its neighboring air quality monitoring stations, we used an inverse distance weighting method to assess exposures to particulate matter with an aerodynamic diameter ≤2.5 μm (PM_2.5), particulate matter with an aerodynamic diameter ≤10 μm (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), carbon monoxide (CO) and ozone (O₃). Conditional logistic regression models were used to quantify exposure-response associations. During the study period, there were 43,896 case days and 149,131 control days. In single-pollutant models, each 10 μg/m³ increase in exposure to PM₁₀, NO₂ and CO (mean exposure on date of admission and 1 day prior) was significantly associated with a 0.74% (95% confidence interval [CI]: 0.13-1.36%), 2.15% (1.38-2.93%) and 0.14% (0.07-0.21%) increase in odds of hospital admissions for recurrent ICEs, respectively, and no significant departures from linearity were detected. The association for NO₂ exposure remained consistent in 2-pollutant models, while the associations for PM₁₀ and CO disappeared or changed materially with adjustment for other pollutants. Stronger association for NO₂ exposure was observed in cool season than that in warm season. We found that short-term exposure to ambient air pollutants, especially NO₂, was associated with increased risk of hospital admissions for recurrent ICEs in older adults.

Multiple imputation confidence intervals for the mean of the discrete distributions for incomplete data

Confidence intervals for the mean of discrete exponential families are widely used in many applications. Since missing data are commonly encountered, the interval estimation for incomplete data is an important problem. The performances of the existing multiple imputation confidence intervals are unsatisfactory. We propose modified multiple imputation confidence intervals to improve the existing confidence intervals for the mean of the discrete exponential families with quadratic variance functions. A simulation study shows that the coverage probabilities of the modified confidence intervals are closer to the nominal level than the existing confidence intervals when the true mean is near the boundaries of the parameter space. These confidence intervals are also illustrated with real data examples.

Delayed Stroke Treatment during COVID-19 Pandemic in China

BACKGROUND

Social distance, quarantine, pathogen testing, and other preventive strategies implemented during CO-VID-19 pandemic may negatively influence the management of acute ischemic stroke (AIS).

OBJECTIVE

The current study aimed to evaluate the impacts of COVID-19 pandemic on treatment delay of AIS in China.

METHODS

This study included patients with AIS admitted in 2 hospitals in Jiangsu, China. Patients admitted before and after the COVID-19 pandemic outbreak (January 31, 2020, as officially announced by the Chinese government) were screened to collect sociodemographic data, medical history information, and symptom onset status from clinical medical records and compared for pre- (measured as onset-to-door time [ODT]) and posthospital delay (measured as door-to-needle time [DNT]). The influencing factors for delayed treatment (indicated as onset-to-needle time >4.5 h) were analyzed with multivariate logistic regression analysis.

RESULTS

A total of 252 patients were included, of which 153 (60.7%) were enrolled before and 99 (39.3%) after the COVID-19 pandemic. ODT increased from 202 min (interquartile range [IQR] 65-492) before to 317 min (IQR 75-790) after the COVID-19 pandemic (p = 0.001). DNT increased from 50 min (IQR 40-75) before to 65 min (IQR 48-84) after the COVID-19 pandemic (p = 0.048). The proportion of patients with intravenous thrombolysis in those with AIS was decreased significantly after the pandemic (15.4% vs. 20.1%; p = 0.030). Multivariate logistic regression analysis indicated that patients after COVID-19 pandemic, lower educational level, rural residency, mild symptoms, small artery occlusion, and transported by other means than ambulance were associated with delayed treatment.

CONCLUSIONS

COVID-19 pandemic has remarkable impacts on the management of AIS. Both pre- and posthospital delays were prolonged significantly, and proportion of patients arrived within the 4.5-h time window for intravenous thrombolysis treatment was decreased. Given that anti-COVID-19 measures are becoming medical routines, efforts are warranted to shorten the delay so that the outcomes of stroke could be improved.

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.

Knowledge, attitude, and practice of stroke and thrombolysis among students preparing for undergraduate medical entrance examination in Kathmandu, Nepal

BACKGROUND

Stroke is a major disabling disease, especially for low and middle-income countries like Nepal. The aim of our study is to assess knowledge, attitude, and practice (KAP) among the students preparing for undergraduate medical entrance examination regarding risk factors, warning signs and symptoms, and management of stroke.

METHODS

A cross-sectional, single staged study using self-structured questionnaire intended to assess KAP about stroke and thrombolysis was conducted.

RESULTS

A total of 378 students participated in our study (53% male; mean age = 18.12 ± 0.97). Majority of the participants (88.4%) had heard about stroke. The more common risk factors identified by them were hypertension (86.2%), oily food (48%), alcohol (37.8%), and smoking (32.8%). Limb weakness, slurring of speech and facial weakness as symptoms and signs of stroke were indicated by 43.4%, 30.2%, and 18.8% of the participants, respectively. Only 23.8% of the participants had heard about thrombolysis and 10% of all could rightly mention the window period of thrombolysis. Male participants had better knowledge about smoking [86 (43.0) vs 38 (21.3); P < .001] and oily food [108 (54.0) vs 73 (41.0); P = .012] being risk factors and facial weakness [50 (37.6) vs 21 (11.8); P = .001] being symptom of stroke compared with females. Similarly, male participants had heard more about thrombolysis than females [68 (34.0) vs 22 (12.4); P < .001].

CONCLUSION

Knowledge regarding risk factors and signs and symptoms of stroke was adequate among the students preparing for undergraduate medical entrance examination. However, knowledge about thrombolysis was poor. Male participants had better knowledge about risk factors, warning signs and symptoms of stroke, and thrombolysis compared with female.

Early Hospital Arrival After Acute Ischemic Stroke Is Associated With Family Members' Knowledge About Stroke

Background and Purpose: Prehospital delay is the major factor limiting intravenous thrombolysis and mechanical thrombectomy in acute ischemic stroke (AIS). This study aimed to: (1) identify factors related to prehospital delay and (2) determine the impact of recognition and behavior of family members on patient delay. Methods: A cross-sectional, multicenter study was conducted at six teaching hospitals in China between December 1, 2018 and November 30, 2019. Patients who experienced AIS within 7 days of onset were interviewed. Results: Of 1,782 consecutive patients (male, 57.97%; mean age, 66.3 ± 9.65 years) who had an AIS, 267 (14.98%) patients arrived within 4.5 h and 722 (40.52%) patients arrived within 6 h of stroke onset. Among patients who arrived within 4.5 h, 103 (38.6%) received thrombolysis. Age over 65 years (OR, 2.009; 95% CI, 1.014-3.982), prior stroke (OR, 3.478; 95% CI, 1.311-9.229), blurred vision (OR, 3.95; 95% CI, 1.71-9.123), and patients deciding to seek medical help (OR, 3.097; 95% CI, 1.417-6.769) were independently associated with late arrival. In contrast, sudden onset of symptoms (OR, 0.075; 95% CI, 0.028-0.196), the National Institutes of Health Stroke Scale 7-15 (OR, 0.093; 95% CI, 0.035-0.251), consciousness disturbance (OR, 0.258; 95% CI, 0.091-0.734), weakness (OR, 0.265; 95% CI, 0.09-0.784), arrival by ambulance (OR, 0.102; 95% CI, 0.049-0.211), decision time <30 min (OR, 0.008; 95% CI, 0.003-0.018), and family member understanding stroke requires early treatment (OR, 0.224; 95% CI, 0.109-0.462) were independently associated with early arrival. Conclusions: The prehospital delay in China lags behind Western countries. Recognition and behavior of stroke patients' family members may play a key role in early arrival.

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.

Swallowing, Oral Motor, Motor Speech, and Language Impairments Following Acute Pediatric Ischemic Stroke

BACKGROUND AND PURPOSE

Following adult stroke, dysphagia, dysarthria, and aphasia are common sequelae. Little is known about these impairments in pediatric stroke. We assessed frequencies, co-occurrence and associations of dysphagia, oral motor, motor speech, language impairment, and caregiver burden in pediatric stroke.

METHODS

Consecutive acute patients from term birth-18 years, hospitalized for arterial ischemic stroke (AIS), and cerebral sinovenous thrombosis, from January 2013 to November 2018 were included. Two raters reviewed patient charts to detect documentation of in-hospital dysphagia, oral motor dysfunction, motor speech and language impairment, and caregiver burden, using a priori operational definitions for notation and assessment findings. Other variables abstracted included demographics, preexisting conditions, stroke characteristics, and discharge disposition. Impairment frequencies were obtained by univariate and bivariate analysis and associations by simple logistic regression.

RESULTS

A total of 173 patients were stratified into neonates (N=67, mean age 2.9 days, 54 AIS, 15 cerebral sinovenous thrombosis) and children (N=106, mean age 6.5 years, 73 AIS, 35 cerebral sinovenous thrombosis). Derived frequencies of impairments included dysphagia (39% neonates, 41% children); oral motor (6% neonates, 41% children); motor speech (37% children); and language (31% children). Common overlapping impairments included oral motor and motor speech (24%) and dysphagia and motor speech (23%) in children. Associations were found only in children between stroke type (AIS over cerebral sinovenous thrombosis) and AIS severity (more severe deficit at presentation) for all impairments except feeding impairment alone. Caregiver burden was present in 58% patients.

CONCLUSIONS

For the first time, we systematically report the frequencies and associations of dysphagia, oral motor, motor speech, and language impairment during acute presentation of pediatric stroke, ranging from 30% to 40% for each impairment. Further research is needed to determine long-term effects of these impairments and to design standardized age-specific assessment protocols for early recognition following stroke.

Short-term effects of outdoor air pollution on acute ischaemic stroke occurrence: a case-crossover study in Tianjin, China

OBJECTIVE

Ambient air pollution is associated with ischaemic stroke incidence. However, most of the previous studies used stroke-related hospital admission rather than stroke onset itself. This study aimed to evaluate the relationship between ambient air pollutant exposures and acute ischaemic stroke based on the timing of symptom onset.

METHODS

A time-stratified, case-crossover analysis was performed among 520 patients who had ischaemic stroke admitted to the Second Hospital of Tianjin Medical University (Tianjin, China) between 1 April 2018 and 31 March 2019 (365 days). Daily air pollutant concentrations of particulate matter with aerodynamic diameter 2.5 µm, particulate matter with aerodynamic diameter 10 µm (PM10), sulfur dioxide, nitrogen dioxide, carbon monoxide and ozone were obtained from fixed-site monitoring stations. We used conditional logistic regression to estimate OR and 95% CI corresponding to an increase in IQR of each air pollutant after adjusting for the effects of temperature and relative humidity.

RESULTS

Overall, a higher risk of ischaemic stroke was found between April and September. During this period PM10 was associated with an increased risk of ischaemic stroke (1-day lag: OR=1.49, 95% CI 1.09 to 2.02; 3-day mean: OR=1.58, 95% CI 1.09 to 2.29) among patients between 34 and 70 years old. Positive associations were also observed between PM10 (1-day lag: OR=1.51, 95% CI 1.10 to 2.07; 3-day mean: OR=1.57, 95% CI 1.08 to 2.29), ozone (1-day lag: OR=1.83, 95% CI 1.16 to 2.87; 3-day mean: OR=1.90, 95% CI 1.06 to 3.42) and ischaemic stroke occurrence among those with hyperlipidaemia.

CONCLUSION

Our results suggest that air pollution is associated with a higher risk of ischaemic stroke in younger people or people with hyperlipidemia. These findings still need to be further investigated.

Short-term effect of PM1 on hospital admission for ischemic stroke: A multi-city case-crossover study in China

This study aims to examine the association between short-term exposures to PM₁, PM_2.5 and PM₁₀ (particulate matter with aerodynamic diameters ≤1 μm, ≤2.5 μm and ≤10 μm, respectively) and hospital admission for ischemic stroke in China. Daily counts of hospital admission for ischemic stroke were collected in 5 hospitals in China during November 2013 to October 2015. Daily concentrations of PM₁, PM_2.5 and PM₁₀ were collected in 5 cities where the hospitals were located. A time-stratified case-crossover design was used to examine the hospital-specific PM-ischemic stroke association after controlling for potential confounders. Then the effect estimates were pooled using a random-effect meta-analysis. A total of 68,122 hospital admissions for ischemic stroke were identified from 5 hospitals during the study period. The pooled results showed that exposures to PM₁, PM_2.5 and PM₁₀ were significantly associated with increased hospital admission for ischemic stroke on the current day and previous 1 day. The RRs (relative risk associated with per 10 μg/m³ increase in each pollutant) and 95%CIs (confidence intervals) for the cumulative effects of PM₁, PM_2.5 and PM₁₀ on ischemic stroke during lag 0-1 days were 1.014 (1.005, 1.0023), 1.007 (1.000, 1.014) and 1.005 (1.001, 1.009), respectively. In total, 3.5%, 3.6% and 4.1% of hospital admissions for ischemic stroke could be attributable to PM₁, PM_2.5 and PM₁₀, respectively. Exposures to ambient PM₁, PM_2.5 and PM₁₀ pollution showed acute adverse effects on hospital admission for ischemic stroke. The health effects of PM₁ should be considered by policy-makers.

Time Intervals for Direct Versus Transfer Cases of Thrombectomy for Stroke in a Primarily Rural System of Care

BACKGROUND

Early treatment is the key to a successful recovery for ischemic stroke patients. From time of onset, a patient's chances of permanent disability only increase until they can receive reperfusion intervention.

OBJECTIVE

We sought to identify potential delays that occur during evaluation and treatment of patients in a rural regional health system.

METHODS

We conducted a single-center retrospective review of all patients that arrived at our comprehensive stroke center (CSC) between July 2011 and March 2017, and received thrombectomy, with or without prior treatment with intravenous recombinant tissue plasminogen activator.

RESULTS

One hundred and fifty-four patients met our criteria for inclusion. Patients were divided into 2 groups: Direct (patients brought to our CSC from scene) and Transfer (patients taken to an outside hospital then transferred to our CSC). The median time to CSC for Direct patients was 82 (range: 15-863) minutes after onset of symptoms, compared to 237 (range: 98-1215) minutes for the Transfer group. The median time for Transfer patients to reach an outside hospital was 74 (range: 5-840) minutes, with an additional average time of 90 minutes in the outside hospital prior to transferred to our CSC.

CONCLUSIONS

Based on our findings, patients brought directly to our CSC saved a significant amount of time, which may improve functional outcomes. Both groups (Direct and Transfer) spent a similar amount of time between last known normal and emergency medical services arrival, highlighting the need for increased awareness among the public to activate the stroke system of care.

Socioeconomic disparities in prehospital stroke care

Background and purpose

Recent studies have revealed socioeconomic disparities in stroke outcomes. Here, we investigated whether prehospital stroke care differs with respect to socioeconomic status (SES).

Methods

Consecutive stroke and TIA patients (n = 3006) admitted to stroke units at Sahlgrenska University Hospital, Gothenburg, Sweden, from 1 November 2014 to 31 July 2016, were included. Data on prehospital care were obtained from a local stroke register. Socioeconomic status was classified according to the average level of income and education within each patient’s neighbourhood (postcode area).

Results

The median system delay from calling the emergency medical communication centre (EMCC) to start of brain computed tomography on hospital arrival was 3 h 47 min (95% confidence interval (CI) 3 h 30 min to 4 h 05 min) for patients within the lowest SES tertile and 3 h 17 min (95% CI 3 h 00 min to 3 h 37 min) for the highest tertile (p < 0.05). Patients with a lower SES were less likely to receive the highest priority in the ambulance (p < 0.05) and had lower rates of prehospital recognition of stroke/TIA (p < 0.05) than those with a high SES. No inequities were found concerning EMCC prioritisation or the probability of ambulance transport.

Conclusions

We found socioeconomic inequities in prehospital stroke care which could affect the efficacy of acute stroke treatment. The ambulance nurses’ ability to recognise stroke/TIA may partly explain the observed inequities.

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.

Patient behaviour at the time of stroke onset: a cross-sectional survey of patient response to stroke symptoms

BACKGROUND AND PURPOSE

Revascularisation treatment with thrombolysis must be initiated within 4.5 h following ischaemic stroke symptom onset. Despite its proven benefits, thrombolysis therapy is underused, with patient delay in presenting to hospital with symptoms identified as the leading barrier. This study aimed to examine help-seeking behaviour at stroke onset, in order to understand delays in accessing acute medical care for stroke symptoms.

METHODS

149 consecutive patients hospitalised with ischaemic stroke were interviewed at 72 h poststroke with the Stroke Awareness Questionnaire and the Response to Symptoms Questionnaire.

RESULTS

Sixty per cent of stroke cases presented to the ED within 3.5 h of stroke onset. Knowledge of stroke symptoms and risk factors was poor, with 40% unable to correctly define a stroke. Bystander recognition of symptoms (p=0.03) and bystander initiation of Emergency Medical Services was associated with ED presentation within 3.5 h (p=0.03).

CONCLUSIONS

This study provides insights into patient response when a stroke occurs, with the presence and action of others highlighted as critical in fast response to stroke symptoms. Knowledge of stroke warning signs and risk factors was low among stroke survivors. Findings highlight the complexity of changing help-seeking behaviour during stroke onset, and provide directions for public education efforts to reduce prehospital delay.

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.

Utilization of intravenous thrombolysis in 3-4.5 hours: analysis of the Minnesota stroke registry

BACKGROUND

The American Heart Association and the American Stroke Association recommend intravenous (IV) thrombolysis up to 4.5 h from acute ischemic stroke symptom onset based on its proven benefit in improving patient outcomes. We analyzed data from the Minnesota Stroke Registry to assess the rates of IV thrombolytic utilization and the process of care in this expanded window.

METHODS

We identified patients who had received IV recombinant tissue plasminogen activator (rt-PA) at any of the 19 participating hospitals from January 1, 2008 till December 31, 2010. Treatment groups were those actually treated by IV rt-PA in 0-3 h and those treated by IV rt-PA in 3-4.5 h. Duration from symptom onset to arrival in the emergency department (ED) was dichotomized to cohorts of 0-2 and 2-3.5 h. We determined the overall utilization of IV rt-PA in the expanded window and calculated door-to-needle times for the two treatment windows. We also ascertained the rates of symptomatic intracerebral hemorrhage between the two treatment groups.

RESULTS

Out of the total 519 patients who received IV rt-PA for acute ischemic stroke, 433 (83%) were treated within 0-3 h and 86 (17%) within 3-4.5 h. Of all the patients who received IV rt-PA within 3-4.5 h, 45% arrived at the ED within 2 h of symptom onset. Median door-to-needle time for the 0- to 3-hour window was 74.5 min [interquartile range (IQR) 57-90] and 54 min (IQR 43.5-70.5) for the 3- to 4.5-hour window. Based on arrival time to the ED, door-to-needle time of ≤60 min was achieved by only 31% (142/458) of patients who arrived within 0-2 h of their symptom onset compared to 61% (37/61) of those who arrived at the ED within 2-3.5 h of their symptom onset. Fifty-nine (14%) patients in the 0- to 3-hour group and 17 (20%) patients in the 3- to 4.5-hour group received a combination of IV rt-PA and endovascular treatments. Among patients with documented admission National Institutes of Health Stroke Scale scores, the values (median with IQR) were different between the 0- to 3- and the 3- to 4.5-hour group, i.e. 10 (IQR 5-18) and 7 (IQR 4-14), respectively.

CONCLUSION

Patients who received IV rt-PA within the 3- to 4.5-hour window comprised 17% of all IV rt-PA cases treated in the Minnesota Stroke Registry hospitals after the new guidelines recommended a time window expansion. Almost half of these patients would have qualified for treatment within the 0- to 3-hour window as they presented within 0-2 h of symptom onset. Patients arriving 2-3.5 h after symptom onset received thrombolysis on average 20 min faster than patients arriving within 2 h of symptom onset.