How do patients with chest pain access Emergency Department care?

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.

Transfer learning enables prediction of myocardial injury from continuous single-lead electrocardiography

OBJECTIVE

Chest pain is common, and current risk-stratification methods, requiring 12-lead electrocardiograms (ECGs) and serial biomarker assays, are static and restricted to highly resourced settings. Our objective was to predict myocardial injury using continuous single-lead ECG waveforms similar to those obtained from wearable devices and to evaluate the potential of transfer learning from labeled 12-lead ECGs to improve these predictions.

METHODS

We studied 10 874 Emergency Department (ED) patients who received continuous ECG monitoring and troponin testing from 2020 to 2021. We defined myocardial injury as newly elevated troponin in patients with chest pain or shortness of breath. We developed deep learning models of myocardial injury using continuous lead II ECG from bedside monitors as well as conventional 12-lead ECGs from triage. We pretrained single-lead models on a pre-existing corpus of labeled 12-lead ECGs. We compared model predictions to those of ED physicians.

RESULTS

A transfer learning strategy, whereby models for continuous single-lead ECGs were first pretrained on 12-lead ECGs from a separate cohort, predicted myocardial injury as accurately as models using patients' own 12-lead ECGs: area under the receiver operating characteristic curve 0.760 (95% confidence interval [CI], 0.721-0.799) and area under the precision-recall curve 0.321 (95% CI, 0.251-0.397). Models demonstrated a high negative predictive value for myocardial injury among patients with chest pain or shortness of breath, exceeding the predictive performance of ED physicians, while attending to known stigmata of myocardial injury.

CONCLUSIONS

Deep learning models pretrained on labeled 12-lead ECGs can predict myocardial injury from noisy, continuous monitor data early in a patient's presentation. The utility of continuous single-lead ECG in the risk stratification of chest pain has implications for wearable devices and preclinical settings, where external validation of the approach is needed.

Time to Seek Care and Hospital Length of Stay Among Older Adults With Acute Coronary Syndrome During the COVID-19 Pandemic

The prevalence of prehospital delay is high among older adults with acute coronary syndrome (ACS). The current study aimed to examine the associated factors of prehospital delay among patients with ACS during the COVID-19 pandemic. This cross-sectional study was conducted on a convenience sample of 300 older adults with ACS admitted to the emergency department in Jordan. Data were collected from June 1 to September 1, 2020. Bivariate and multivariate analyses were used to explore the predictors of prehospital delay. Being widowed, educational level, pain intensity, the gradual onset of ACS symptoms, symptoms lasting for more than 30 minutes, patients' feeling anxious about their ACS symptoms, patients' perceiving their symptoms to be particularly dangerous, history of myocardial infarction (MI), and mode of transportation were associated with the time taken before seeking emergency care. Significant predictors of time to seek help were chief complaint of chest pain or palpitations, abrupt onset of symptoms, the associated symptom of vertigo, and a higher number of chronic illnesses; they explained about 17.9% of the variance in the time to seek care. The average time to seek care among patients with ACS during the COVID-19 pandemic was found to be longer than the average time reported by studies conducted prior the pandemic. Improved understanding of the associations between prehospital delay is crucial for optimal ACS patient outcomes under the impacts of the COVID-19 pandemic.

Enhanced triage for patients with suspected cardiac chest pain: the History and Electrocardiogram-only Manchester Acute Coronary Syndromes decision aid

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Several decision aids can ‘rule in’ and ‘rule out’ acute coronary syndromes (ACS) in the Emergency Department (ED) but all require measurement of blood biomarkers. A decision aid that does not require biomarker measurement could enhance risk stratification at triage and could be used in the prehospital environment. We aimed to derive and validate the History and ECG-only Manchester ACS (HE-MACS) decision aid using only the history, physical examination and ECG.

Pre-hospital delay in patients with acute chest pain

Introduction: Incidence of chest pain and discomfort varies in general population between 2 % and 5 %. Total prehospital delay involves two components: the time it takes for patients to recognise their symptoms as severe and seek medical attention, ie the decision-making time, and the time from seeking help to hospital admission, ie the transport time. Scope of the study was to analyse time loss in patients with chest pain hesitating to contact healthcare services, as well as distribution of acute myocardial infarction (AMI) and angina pectoris (AP) among them. Methods: Retrospective analysis of medical records of physicians working at the emergency medical services (EMS) Department of the City of Belgrade, Serbia, from 20 April 2006 to 22 July 2013 on a total of 5,310 completed field interventions. When placing a call to the EMS, 10.43 % of patients cited chest pain as a major symptom. After deducting all those ones who denied having the symptom on examination thereafter and those for whom there were no data, 349 patients remained, ie 6.57 % of the total number of calls available for analysis. Results: The average time between the onset of chest pain and the decision to call the EMS was 11.97 h, median 2 h and mode 1 h. Patient's minimum prehospital delay was 2 min and the maximum was 20 days. Most patients who experienced chest pain or discomfort waited less than an hour before calling the EMS. Most commonly diagnoses made for a symptom of chest pain were AMI and AP, ie AMI with 12.32 % of the total diagnoses, as well as the elevated arterial pressure. There were more female patients, with no difference found among the age groups. Conclusion: For the majority of patients with chest pain and discomfort presented in this paper the decision-making time was up to one hour, with cardiovascular causes being the at the top of the list.

Pre-Hospital Factors Influencing Time of Arrival at Emergency Departments for Patients with Acute ST-Elevation Myocardial Infarction

Background

Pre-hospital delay is currently a major factor limiting early reperfusion among ST-elevation myocardial infarction (STEMI) patients worldwide. This study aims to determine pre-hospital factors affecting symptom-to-door time among STEMI patients in Malaysia.

Methods

This cross-sectional study included 222 STEMI patients admitted to two tertiary hospitals in Malaysia. By determining symptom-to-door time, the study population was categorised into two definitive treatment seeking groups: early (≤ 3 h) and delayed (> 3 h). Data was collected focusing on socio-demographical data, risk factors and comorbidities, clinical presentation, situational factors and action taken by patients.

Results

The mean age of our patients was 58.0 (SD = 11.9) years old, and the population consisted of 186 (83.8%) males and 36 (16.2%) females. Our study found that the median symptom-to-door time was 130.5 (IQR 240) min, with 64% of subjects arriving early and 36% arriving late. Pre-hospital delays were found to be significant among females (adj OR = 2.42; 95% CI: 1.02, 5.76; P = 0.046), patients with recurrence of similar clinical presentations (adj OR = 2.74; 95% CI: 1.37, 5.46; P = 0.004), patients experiencing atypical symptoms (adj OR = 2.64; 95% CI: 1.11, 6.31; P = 0.029) and patients who chose to have their first medical contact (FMC) for their symptoms with a general practitioner (adj OR = 2.80; 95% CI: 1.20, 6.56; P = 0.018). However, patients with hyperlipidaemia (adj OR = 0.46; 95% CI: 0.23, 0.93; P = 0.030), self-perceived cardiac symptoms (adj OR = 0.36; 95% CI: 0.17, 0.73; P = 0.005) and symptoms that began in public places (adj OR = 0.21; 95% CI: 0.06, 0.69; P = 0.010) tended to seek treatment earlier.

Conclusion

The symptom-to-door time among the Malaysian population is shorter in comparison to other developing countries. Nevertheless, identified, modifiable pre-hospital factors can be addressed to further shorten symptom-to-door time among STEMI patients.