Prehospital Factors Associated with Delayed Hospital Arrival of Stroke Patients: A Regional Single-Center Study from India.

Background: Only a small percentage of patients with acute stroke are currently eligible for thrombolysis, partly due to severe delays in hospital arrival. We had previously conducted the first regional study to assess the factors delaying acute stroke care in India. The present study aims to understand and describe in depth the variables associated with prehospital delay among patients admitted with an acute ischemic stroke. Methods: Data were prospectively collected by conducting an in-depth interview of 470 acute ischemic stroke patients and their bystanders, aged above 18 years, presenting to the Department of Emergency Medicine, Jubilee Mission Medical College and Research Institute, Thrissur. Patients who arrived within 4.5 h of symptom onset were considered as "early arrival" and those who arrived after 4.5 h were considered as "delayed arrival." Univariate and multivariate analyses were undertaken to determine associations between variables of interest and delays to hospital presentation. Results: Of the 470 patients who met the inclusion criteria, 73 patients reached within 4.5 h (15.5%), whereas 397 patients arrived after 4.5 h. The mean age of acute stroke patients who reached within 4.5 h was 63 ± 13.7 years, whereas the mean age of those who reached after 4.5 h was 63 ± 12.1 years. Binary logistic regression performed to quantify the associations of prehospital factors showed an increased risk of prehospital delay among individuals with lack of awareness (odds ratio [OR] = 5.16 [3.040-8.757], P < 0.001), followed by those for whom a vehicle was not available at the site of event (OR = 3.745 [1.864-7.522], P < 0.001). Within the predefined socioeconomic strata, compared to lower class, upper middle class had less risk (OR = 0.135 [0.018-1.035], P = 0.054), whereas the distance from first medical contact to emergency department contributed moderate risk (OR = 1.071 [1.028-1.116], P < 0.001) for prehospital delay. Conclusions: Health promotion techniques that increase public knowledge about the early signs of stroke, transferring patients directly to hospitals with thrombolysis capabilities, and making ambulance services more widely available are appropriate measures to reduce prehospital delay.

Temporal Delays in the Management of Traumatic Brain Injury: A Comparative Meta-Analysis of Global Literature.

OBJECTIVE: A meta-analysis was conducted to compare: 1) time from traumatic brain injury (TBI) to the hospital, and 2) time within the hospital to intervention or surgery, by country-level income, World Health Organization region, and healthcare payment system. METHODS: A comprehensive literature search was conducted and followed by a meta-analysis comparing duration of delays (prehospital and intrahospital) in TBI management. Means and standard deviations were pooled using a random effects model and subgroup analysis was performed using R software. RESULTS: Our analysis comprised 95,554 TBI patients from 45 countries. BY COUNTRY-LEVEL INCOME: From 23 low- and middle-income countries, a longer mean time from injury to surgery (862.53 minutes, confidence interval [CI]: 107.42-1617.63), prehospital (217.46 minutes, CI: -27.34-462.25), and intrahospital (166.36 minutes, 95% CI: 96.12-236.60) durations were found compared to 22 high-income countries. BY WHO REGION: African Region had the greatest total (1062.3 minutes, CI: -1072.23-3196.62), prehospital (256.57 minutes [CI: -202.36-715.51]), and intrahospital durations (593.22 minutes, CI: -3546.45-4732.89). BY HEALTHCARE PAYMENT SYSTEM: Multiple-Payer Health Systems had a greater prehospital duration (132.62 minutes, CI: 54.55-210.68) but greater intrahospital delays were found in Single-Payer Health Systems (309.37 minutes, CI: -21.95-640.69). CONCLUSION: Our study concludes that TBI patients in low- and middle-income countries within African Region countries face prolonged delays in both prehospital and intrahospital management compared to high-income countries. Additionally, patients within Single-Payer Health System experienced prolonged intrahospital delays. An urgent need to address global disparities in neurotrauma care has been highlighted.

Regional Disparities in Prehospital Delay of Acute Ischemic Stroke: The Korean Stroke Registry.

BACKGROUND: Late hospital arrival keeps patients with stroke from receiving recanalization therapy and is associated with poor outcomes. This study used a nationwide acute stroke registry to investigate the trends and regional disparities in prehospital delay and analyze the significant factors associated with late arrivals. METHODS: Patients with acute ischemic stroke or transient ischemic attack between January 2012 and December 2021 were included. The prehospital delay was identified, and its regional disparity was evaluated using the Gini coefficient for nine administrative regions. Multivariate models were used to identify factors significantly associated with prehospital delays of >4.5 h. RESULTS: A total of 144,014 patients from 61 hospitals were included. The median prehospital delay was 460 min (interquartile range, 116-1912), and only 36.8% of patients arrived at hospitals within 4.5 h. Long prehospital delays and high regional inequality (Gini coefficient > 0.3) persisted throughout the observation period. After adjusting for confounders, age > 65 years old (adjusted odds ratio [aOR] = 1.23; 95% confidence interval [CI], 1.19-1.27), female sex (aOR = 1.09; 95% CI, 1.05-1.13), hypertension (aOR = 1.12; 95% CI, 1.08-1.16), diabetes mellitus (aOR = 1.38; 95% CI, 1.33-1.43), smoking (aOR = 1.15, 95% CI, 1.11-1.20), premorbid disability (aOR = 1.44; 95% CI, 1.37-1.52), and mild stroke severity (aOR = 1.55; 95% CI, 1.50-1.61) were found to independently predict prehospital delays of >4.5 h. CONCLUSION: Prehospital delays were lengthy and had not improved in Korea, and there was a high regional disparity. To overcome these inequalities, a deeper understanding of regional characteristics and further research is warranted to address the vulnerabilities identified.

Stroke signs knowledge and factors associated with a delayed hospital arrival of patients with acute stroke in Kinshasa.

Background: Rapid recognition and early medical intervention are essential to reduce stroke-related mortality and long-term disability. This study aimed to evaluate awareness of stroke symptoms/signs and determine factors delaying the hospital arrival of patients with acute stroke in Kinshasa. Methods: Patients with stroke and/or accompanying family members were interviewed using a standard questionnaire, and their medical records were reviewed. Factors independently associated with a late arrival (≥4.5 h) to the hospital were identified using the logistic regression test in forward multivariate analysis. Results: Overall, 202 patients with an average age of 57.9 ± 13.1 years were included. Only 27 (13.4%) patients immediately associated the initial symptoms with a stroke episode. Delayed hospital arrival was observed in 180 (89.1%) patients. Unmarried status (adjusted odds ratio [aOR], 2.29; 95% confidence interval [CI], 1.17-4.88; p = 0.007), low education level (aOR, 2.29; 95% CI, (1.12-5.10; p = 0,014), absence of impaired consciousness (aOR, 3.12; 95% CI, 1.52-4.43; p = 0.005), absence of a history of hypertention (aOR, 1.85; 95% CI, 1.18-3.78; p = 0.041), absence of a history of diabetes (aOR, 1.93; 95% CI, 1.15-4.58; p = 0.013), heavy alcohol consumption (aOR, 1.83; 95% CI, 1.12-2.83; p = 0.045), absence of a severe to very severe stroke (aOR, 4.93; 95% CI, 0.82-1.01; p = 0.002), and presence of ischemic stroke (aOR, 2.93; 95% CI, 1.54-4.59; p = 0.001) were identified as independent determinants of delayed hospital arrival. Conclusions: This study depicted a low stroke awareness rate and a much longer prehospital delay than evidence-based guidelines recommend and identified eight factors that public health actions could target to promote the earliest management of stroke.

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.

Theory-based cognitive-narrative intervention versus didactic education for promoting prompt care-seeking for acute myocardial infarction: A multisite mixed-methods randomized controlled trial.

BACKGROUND: Prolonged delays by patients in making care-seeking decisions remain a significant obstacle to the effective management of acute myocardial infarction. OBJECTIVES: This study aimed to compare the effects of a theory-based cognitive-narrative intervention with those of didactic education over a 24-month period on the participants' attitudes, beliefs, and knowledge regarding acute myocardial infarction, prehospital delay time, and the use of an ambulance. We also explored participants' engagement in the intervention. DESIGN: This study adopted a sequential mixed-methods design comprising a multisite randomized controlled trial and a qualitative study. METHODS: Community-dwelling adult patients with a prior history of acute myocardial infarction in the past year were recruited from four hospitals in Hong Kong. They were randomly assigned to an 8-week theory-based cognitive-narrative intervention that involved a vivid experience of complex decision-making or didactic education. The Acute Coronary Syndrome Response Index questionnaire was administered at baseline (T0) and at 3- (T1), 12- (T2), and 24-month (T3) follow-up time points. Prehospital delay time and the use of an ambulance were evaluated for those participants who had recurrent acute myocardial infarction attacks during the study period. RESULTS: A total of 608 participants were randomly assigned to the theory-based cognitive-narrative intervention group (n = 304) or the didactic education group (n = 304). The intervention group reported greater improvements than the control group in their attitudes (ß = -1.053, p = 0.002) and beliefs (ß = -0.686, p = 0.041) regarding acute myocardial infarction and care-seeking at T1. These effects were sustained at T2 [attitudes (ß = -0.797, p = 0.018); beliefs (ß = -0.692, p = 0.047)] and T3 [attitudes (ß = -0.717, p = 0.024); beliefs (ß = -0.701, p = 0.032)]. Sixty-three participants experienced another acute myocardial infarction event by T2. The median delay times for the intervention and control groups were 3.13 h (interquartile range (IQR: 1.15-6.48)) and 4.82 h (IQR: 2.23-9.02), respectively. The prehospital delay time was significantly reduced in the intervention group compared with the control group (ß = -0.07, p = 0.011). The qualitative findings echoed the quantitative findings, as participants indicated that the intervention helped them to understand the variable nature of the disease presentation, which enabled them to recognize the symptoms more readily. CONCLUSION: The novel cognitive-narrative intervention used in this study effectively improved the participants' attitudes and beliefs regarding acute myocardial infarction and reduced the prehospital delay time. TRIAL REGISTRATION: This study was registered with the International Clinical Trials Registry Platform of the World Health Organization (ChiCTR-IIC-17010576) on February 2, 2017; the first participant was recruited on January 11, 2018.

Factors Associated with Symptom-to-Door Delay in Patients with ST-Segment Myocardial Infarction: A Systematic Review.

BACKGROUND: Decreasing symptom-to-door (S2D) delay is of vital importance for reducing morbidity and mortality in patients with ST-segment elevation myocardial infarction (STEMI). The factors associated with S2D delay in STEMI patients have not been well-characterized. OBJECTIVES: The aim of this study was to identify factors associated with S2D delay in patients with STEMI. METHODS: The PubMed, CINAHL, and Embase databases were searched for data. References from the selected articles and relevant background papers were also manually searched to identify additional eligible studies. The included articles were reviewed and assessed for risk of bias. The level of evidence for each identified factor was evaluated using a semiquantitative synthesis. RESULTS: Twelve (12) papers were included in the review. Factors associated with S2D delay were complex and could be divided into sociodemographic, clinical history, and onset characteristics. The level of evidence regarding female sex and diabetes was strong, and the evidence was moderate regarding older age, smoking, history of hypertension, self-transport, or referral. CONCLUSIONS: Female sex, older age, previous diabetes, previous hypertension, smoking, and self-transport are all strong or moderate risk factors for S2D time delay in patients with ST-segment myocardial infarction. More efforts should be made to educate at-risk populations concerning symptoms of STEMI and the importance of seeking early medical assistance.

Prediction of Late Hospital Arrival in Patients with Mild and Rapidly Improving Acute Ischemic Stroke in a Rural Area of China.

Purpose: Among all ischemic stroke patients, more than half are mild and rapidly improving acute ischemic stroke (MaRAIS) patients. However, many MaRAIS patients do not recognize the disease early on, and thus they delay access to the treatment that would be most effective if provided earlier. This is especially true in rural areas. The aim of this study was to develop and validate a late hospital arrival risk nomogram in a rural Chinese population of patients with MaRAIS. Methods: We developed a prediction model based on a training dataset of 173 MaRAIS patients collected from September 9, 2019 to May 13, 2020. Data analyzed included demographics and disease characteristics. A least absolute shrinkage and selection operator (LASSO) regression model was used to optimize feature selection for the late hospital arrival risk model. Multivariable logistic regression analysis was applied to build a prediction model incorporating the features selected in the LASSO regression models. The discrimination, calibration, and clinical usefulness of the prediction model were assessed using the C-index, calibration plot, and decision curve analysis, respectively. Internal validation was then assessed using bootstrapping validation. Results: Variables contained in the prediction nomogram included transportation mode, history of diabetes, knowledge of stroke symptoms, and thrombolytic therapy. The model had moderate predictive power with a C-index of 0.709 (95% confidence interval: 0.636-0.783) and good calibration. In the internal validation, the C-index reached 0.692. The risk threshold was 30-97% according to the analysis of the decision curve, and the nomogram could be applied in clinical practice. Conclusion: This novel nomogram, which incorporates transportation mode, history of diabetes, knowledge of stroke symptoms, and thrombolytic therapy, was conveniently applied to facilitate individual late hospital arrival risk prediction among MaRAIS patients in a rural area of Shanghai, China.

Stroke patterns and outcomes during the second wave of COVID-19 pandemic: a cross-sectional study.

The coronavirus disease 2019 (COVID-19) pandemic has affected the number of stroke activations, admission of patients with various types of strokes, the rate and timely administration of reperfusion therapy, and all types of time-based stroke-related quality assessment metrics. In this study, we describe the different types of strokes, different delays in seeking and completing treatment occurring during the second wave of the COVID-19 pandemic, and predictors of outcome at 3 months follow-up. Materials and methods: This is a single-centered prospective cross-sectional study carried out from May 2021 to November 2021, enrolling patients with stroke. Data collected were demographic characteristics, stroke types and their outcomes, and different types of prehospital delays. Results: A total of 64 participants were included in the study with a mean age of 60.25±15.31 years. Ischemic stroke was more common than hemorrhagic stroke. The median time of arrival to the emergency room of our center was 24 h. The most common cause of prehospital delay was found to be delays in arranging vehicles. The median duration of hospital stays [odds ratio (OR)=0.72, P<0.05] and baseline NIHSS (National Institute of Health Stroke Scale) score (OR=0.72, P<0.05) were found to be a predictor of good outcomes at 3 months follow-up on binary logistic regression. Conclusion: The factors that cause the delayed transfer to the hospital and onset of treatment should be addressed. Patient counseling about the likely prognosis can be done after evaluating the probable outcome based on the NIHSS score and median duration of hospital stay. Nevertheless, mechanisms should be developed to reduce the prehospital delay at the ground level as well as at the policy level.

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.

Factors Associated with Prehospital Delay in Patients with Acute Stroke in South India.

Background: Early hospital presentation is critical in the management of acute ischemic stroke. The effectiveness of stroke treatment is highly dependent on the amount of time lapsed between onset of symptoms and treatment. This study was aimed to identify the factors associated with prehospital delay in patients with acute stroke. Material and Methods: A cross-sectional descriptive study was conducted in Sri Ramachandra University Hospital, India. A total of 210 patients hospitalized in the stroke unit were included. Patients' data were obtained by interviewing the patient and/or accompanying family member and by reviewing their medical records using a standard questionnaire. Associations were determined between prehospital delay (≥4.5 h) and variables of interest by using univariate and multivariate logistic regression analyses. Results: The prehospital delay was observed in 154 patients (73.3%) and the median prehospital delay was 11.30 h. The following are the factors significantly (P < 0.05) attributed for the delay in presenting to the hospital: contextual factors like using public transport (bus), taxi, time of onset of symptoms, 7 pm-3 am; family history of stroke, perceived cognitive and behavioral factors like, wishing or praying for the symptoms to subside on its own, hesitation to travel due to long distance, delay in arranging transport, and arranging money for admission and wasting time by shopping for general practitioners, nursing homes, and hospitals. The presence of stroke symptom, headache, significantly decreased the prehospital delay. Conclusions: Prehospital delay is high in South India and influenced by clinical, contextual, and cognitive/behavioral factors.

Factors associated with prehospital delay in acute myocardial infarction in Maldives.

BACKGROUND: Acute myocardial infarction (AMI) is the top cause of death in Maldives. Our study aims to determine the prehospital delay and its associated factors in AMI patients in Maldives. METHODS: A cross-sectional study was conducted with 127 patients, divided into early (≤ 6 h) and delayed (> 6 h) presenters to the hospital. The data collection for the study was carried out by interviewing AMI patients, focusing on their socio-demographic characteristics, coronary artery disease risk factors, clinical symptoms, situational factors, and behavioral and cognitive responses to symptoms. RESULTS: The median onset-to-door time was 230 (IQR 420) minutes. The mean age of AMI patients was 50.9 (SD ± 12.9) years old, and 39.4% of them had delayed presentation to the hospital. Smokers (adj OR = 0.3; 95% CI: 0.1, 0.9; P = 0.047) and those with previous episodes of chest pain or AMI (adj OR = 0.2; 95% CI: 0.03, 0.91; P = 0.038) were significant factors for early presentation to the hospital, while denial of symptoms (adj OR = 29.3; 95% CI: 1.6, 547.2; P = 0.024) and lack of knowledge (adj OR = 7.2; 95% CI: 1.77, 29.43; P = 0.006) led to a delayed decision to seek treatment. Situational factors such as onset at the workplace (adj OR = 5.8; 95% CI: 1.24, 26.83; P = 0.025) had lower odds of delay, whereas referral cases (adj OR = 7.7; 95% CI: 1.9, 30.94; P = 0.004) and use of sea ambulance (adj OR = 11.1; 95% CI: 2.8, 43.8; P = 0.001) were prone to delay in presentation to the hospital. CONCLUSION: Sea ambulance, referral cases, lack of knowledge, and denial of symptoms are significant factors associated with prehospital delay among patients with AMI. Public awareness about the benefits of early presentation and improvement of the means of transportation between islands is suggested to improve emergency cardiac care in the country.

Effects of delayed hospitalization on the 3-year clinical outcomes of patients with or without diabetes who had non-ST-segment-elevation myocardial infarction and underwent new-generation drug-eluting stent implantation.

Clinical outcomes after non-ST-segment-elevation myocardial infarction (NSTEMI) in patients with (symptom-to-door time [SDT] ≥ 24 h) or without (SDT < 24 h) delayed hospitalization among patients with or without diabetes were compared. From the Korea Acute Myocardial Infarction Registry-National Institute of Health, a total of 4517 patients with NSTEMI who underwent new-generation drug-eluting stents implantation were recruited and they were classified into the diabetes mellitus (DM) and non-DM groups. These two groups were subdivided into groups with and without delayed hospitalization. The primary clinical outcome was the occurrence of major adverse cardiac and cerebrovascular events (MACCE), defined as all-cause death, recurrent myocardial infarction, repeat coronary revascularization, and stroke. The secondary clinical outcome was the occurrence of individual components of MACCE and stent thrombosis. Although after multivariable and propensity score-adjusted analyses in the DM group, the primary and secondary clinical outcomes between the SDT < 24 h and SDT ≥ 24 h groups were similar; in the non-DM group, all-cause (p = 0.003 and p = 0.007, respectively) and cardiac (p = 0.001 and p = 0.008, respectively) death rates were significantly higher in the SDT ≥ 24 h group than in the SDT < 24 h group. Our results suggested that there was no significant difference in prognosis between diabetic patients with and without delayed SDT, but delayed SDT was associated with poor prognosis in nondiabetic patients.

Characterization of prehospital time delay in primary percutaneous coronary intervention for acute myocardial infarction: analysis of geographical infrastructure-dependent and -independent components.

BACKGROUND: Prehospital delay in reaching a percutaneous coronary intervention (PCI) facility is a major problem preventing early coronary reperfusion in patients with ST-elevation myocardial infarction (STEMI). The aim of this study was to identify modifiable factors that contribute to the interval from symptom onset to arrival at a PCI-capable center with a focus on geographical infrastructure-dependent and -independent factors. METHODS: We analyzed data from 603 STEMI patients who received primary PCI within 12 h of symptom onset in the Hokkaido Acute Coronary Care Survey. We defined onset-to-door time (ODT) as the interval from the onset of symptoms to arrival at the PCI facility and we defined door-to-balloon time (DBT) as the interval from arrival at the PCI facility to PCI. We analyzed the characteristics and factors of each time interval by type of transportation to PCI facilities. In addition, we used geographical information system software to calculate the minimum prehospital system time (min-PST), which represents the time required to reach a PCI facility based on geographical factors. We then subtracted min-PST from ODT to find the estimated delay-in-arrival-to-door (eDAD), which represents the time required to reach a PCI facility independent of geographical factors. We investigated the factors related to the prolongation of eDAD. RESULTS: DBT (median [IQR]: 63 [44, 90] min) was shorter than ODT (median [IQR]: 104 [56, 204] min) regardless of the type of transportation. However, ODT was more than 120 min in 44% of the patients. The min-PST (median [IQR]: 3.7 [2.2, 12.0] min) varied widely among patients, with a maximum of 156 min. Prolongation of eDAD (median [IQR]: 89.1 [49, 180] min) was associated with older age, absence of a witness, onset at night, no emergency medical services (EMS) call, and transfer via a non-PCI facility. If eDAD was zero, ODT was projected to be less than 120 min in more than 90% of the patients. CONCLUSIONS: The contribution of geographical infrastructure-dependent time in prehospital delay was substantially smaller than that of geographical infrastructure-independent time. Intervention to shorten eDAD by focusing on factors such as older age, absence of a witness, onset at night, no EMS call, and transfer via a non-PCI facility appears to be an important strategy for reducing ODT in STEMI patients. Additionally, eDAD may be useful for evaluating the quality of STEMI patient transport in areas with different geographical conditions.

Sex Differences in Delayed Hospitalization in Patients with Non-ST-Segment Elevation Myocardial Infarction Undergoing New-Generation Drug-Eluting Stent Implantation.

We compared the effects of sex differences in delayed hospitalization (symptom-to-door time [SDT], ≥24 h) on major clinical outcomes in patients with non-ST-segment elevation myocardial infarction after new-generation drug-eluting stent implantation. A total of 4593 patients were classified into groups with (n = 1276) and without delayed hospitalization (SDT < 24 h, n = 3317). Thereafter, these two groups were subdivided into male and female groups. The primary clinical outcomes were major adverse cardiac and cerebrovascular events (MACCE), defined as all-cause death, recurrent myocardial infarction, repeat coronary revascularization, and stroke. The secondary clinical outcome was stent thrombosis. After multivariable- and propensity score-adjusted analyses, in-hospital mortalities were similar between the male and female groups in both the SDT < 24 h and SDT ≥ 24 h groups. However, during a 3-year follow-up period, in the SDT < 24 h group, all-cause death (p = 0.013 and p = 0.005, respectively) and cardiac death (CD, p = 0.015 and p = 0.008, respectively) rates were significantly higher in the female group than those in the male group. This may be related to the lower all-cause death and CD rates (p = 0.022 and p = 0.012, respectively) in the SDT < 24 h group than in the SDT ≥ 24 h group among male patients. Other outcomes were similar between the male and female groups and between the SDT < 24 h and SDT ≥ 24 h groups. In this prospective cohort study, female patients showed higher 3-year mortality, especially in the SDT < 24 h, compared to male patients.

Prehospital delay after acute ischemic stroke among Thai older adults: A cross-sectional study.

Acute ischemic stroke is a common medical emergency among older adults and requires immediate treatment. Prehospital delay limits the use of critical treatments, such as intravenous recombinant tissue plasminogen activators, leading to serious complications and often death. Using Andersen's Behavioral Model, this cross-sectional study aimed to investigate and determine factors influencing prehospital delay among older persons with acute ischemic stroke. The participants consisted of 120 older persons with first-time acute ischemic stroke diagnoses who received treatments at two hospitals in northern Thailand between November 2021 and February 2022. The results revealed that 70% of older persons experienced delays of over 3 hours following the onset of stroke symptoms. It was found that increased perceived severity of ischemic stroke and a shorter distance from home to the hospital were both associated with a reduced probability of prehospital delay. These findings highlight the significant factors influencing prehospital delay and suggest possible interventions to reduce prehospital delay among older patients with acute ischemic stroke.

Influence of Intermittent Fasting During Ramadan on Circadian Variation of Symptom-Onset and Prehospital Time Delay in Acute ST-Segment Elevation Myocardial Infarction.

Ramadan interferes with circadian rhythms mainly by disturbing the routine patterns of feeding and smoking. The objective of this study was to investigate the circadian pattern of ST elevation acute myocardial infarction (STEMI) during the month of Ramadan. We studied consecutive STEMI patients 1 month before and after Ramadan (non-Ramadan group-NRG) and during Ramadan (Ramadan group-RG). The RG group was also divided into two groups, based on whether they chose to fast: fasting (FG) and non-fasting group (NFG). The time of STEMI onset was compared. A total of 742 consecutive STEMI patients were classified into 4 groups by 6 h intervals according to time-of-day at symptom onset. No consistent circadian variation in the onset of STEMI was observed both between the RG (P = .938) and NRG (P = .766) or between the FG (P = .232) and NFG (P = .523). When analyzed for subgroups of the study sample, neither smoking nor diabetes showed circadian rhythm. There was a trend towards a delay from symptom onset to hospital presentation, particularly at evening hours in the RG compared with the control group. In conclusion, there was no significant difference in STEMI onset time, but the time from symptom onset to hospital admission was significantly delayed during Ramadan.

Symptom recognition and treatment-seeking behaviors in women experiencing acute coronary syndrome for the first time: a qualitative study.

BACKGROUND: Women are more likely to delay medical help-seeking for ACS symptoms. Understanding patients' experience of the symptoms and their response is essential in improving help-seeking behaviors and timely diagnosis and treatment for ACS. This study aimed to explore women's experience of ACS, their response to the symptoms, and treatment-seeking decisions. METHODS: This qualitative descriptive study was conducted in a tertiary referral specialized heart hospital affiliated with Tabriz University of Medical Sciences, Iran. Participants included 39 women who had experienced ACS for the first time. RESULTS: Four main themes emerged from the analysis of interview transcripts: (1) the onset of symptoms, (2) the types of symptoms, (3) response to symptoms and (4) arriving at the hospital. These themes and associated sub-themes explained women's experience of ACS symptoms, their response to the symptoms, and decision to seek medical help. CONCLUSIONS: This study identified and discussed factors contributing to the prehospital delay in women and their decision-making to seek medical care for ACS symptoms. The results are consistent with previous research indicating that ACS symptoms in women are somewhat different from men, and women tend to underestimate their symptoms and attribute them to non-cardiac causes. Women should be supported to develop awareness and understanding of ACS symptoms and appreciate the importance of early treatment-seeking in the disease outcomes.

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

Background: Stroke has become a leading cause of mortality and adult disability in China. The key to treating acute ischemic stroke (AIS) is to open the obstructed blood vessels as soon as possible and save the ischemic penumbra. However, the thrombolytic rate in China is only 2.5%. Research has been devoted to investigating the causes of prehospital delay, but the exact controllable risk factors for prehospital delay remain uncertain, and a consensus is lacking. We aimed to develop a risk assessment tool to identify the most critical risk factors for prehospital delay for AIS patients. Methods: From November 2018 to July 2019, 450 patients with AIS were recruited. Both qualitative and quantitative data were collected. The Delphi technique was used to obtain expert opinions about the importance of the risk indices in two rounds of Delphi consultation. Then, we used the risk matrix to identify high-risk factors for prehospital delay for AIS patients. Results: The risk matrix identified the following five critical risk factors that account for prehospital delay after AIS: living in a rural area; no bystanders when stroke occurs; patients and their families lacking an understanding of the urgency of stroke treatment; patients and their families not knowing that stroke requires thrombolysis or that there is a thrombolysis time window; and the patient self-medicating, unaware of the seriousness of the symptoms, and waiting for spontaneous remission. Conclusions: The risk analysis tool used during this study may help prevent prehospital delays for patients with AIS.

Factors Responsible for Prehospital Delay in Patients with Acute Coronary Syndrome in Bangladesh.

Background: Acute coronary syndrome (ACS) remains a cause of high morbidity and mortality among adults, despite advances in treatment. Treatment modality and outcomes of ACS mainly depend on the time yielded since the onset of symptoms. Prehospital delay is the time between the onset of myocardial ischemia/infarction symptoms and arrival at the hospital, where either pharmacological or interventional revascularization is available. This delay remains unacceptably long in many countries worldwide, including Bangladesh. The current study investigates several sociodemographic characteristics as well as clinical, social, and treatment-seeking behaviors, with an aim to uncover the factors responsible for the decision time to get medical help and home-to-hospital delay. Materials and Methods: A prospective cross-sectional study was conducted between July 2019 and June 2020 in 21 district hospitals and 6 medical college hospitals where cardiac care facilities were available. The population selected for this study was patients with ACS who visited the studied hospitals during the study period. Following confirmation of ACS, a semi-structured data sheet was used to collect the patient data and was subsequently analyzed. Results: This study evaluated 678 ACS patients from 30 districts. The majority of the patients were male (81.9%), married (98.2%), rural residents (79.2), middle-aged (40-60 years of age) (55.8%), low-income holders (89.4%), and overweight (56.9%). It was found that 37.5% of the patients received their first medical care after 12 h of first symptom presentation. The study found that the patients' age, residence, education, and employment status were significant factors associated with prehospital delay. The patients with previous myocardial infarction (MI) and chest pain arrived significantly earlier at the hospital following ACS onset. Location of symptom onset, first medical contact with a private physician, distance from symptom onset location to location of first medical contact, the decision about hospitalization, ignorance of symptoms, and mode of transportation were significantly associated with prehospital delay. Conclusions: Several factors of prehospital delay of the ACS patients in Bangladesh have been described in this study. The findings of this study may help the national health management system identify the factors related to treatment delay in ACS and thus reduce ACS-related morbidity and mortality.