Sharing and Teaching Electrocardiograms to Minimize Infarction (STEMI): reducing diagnostic time for acute coronary occlusion in the emergency department

Reevaluating STEMI: The Utility of the Occlusive Myocardial Infarction Classification to Enhance Management of Acute Coronary Syndromes

BACKGROUND

The current classification of acute myocardial infarction (AMI) into ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) has limitations in identifying patients with acute coronary occlusion (ACO) who do not exhibit classic ST-elevation. Emerging evidence suggests that a reclassification to "Occlusive Myocardial Infarction" (OMI) may enhance diagnostic accuracy and therapeutic interventions.

METHODS

A comprehensive review of the literature was conducted, focusing on the pathophysiology, electrocardiographic (EKG) patterns, and management of ACO. The utility of the OMI paradigm was evaluated against the traditional STEMI/NSTEMI framework, with a particular emphasis on atypical EKG findings and their role in guiding early intervention.

RESULTS

Traditional STEMI criteria fail to identify ACO in approximately 30% of NSTEMI patients, leading to delayed reperfusion and increased mortality. The OMI framework demonstrates improved sensitivity (78.1% vs. 43.6% for STEMI criteria) for detecting ACO by incorporating subtle EKG changes, including hyperacute T-waves, de Winter T-waves, and posterior infarction patterns. OMI-guided management facilitates timely diagnosis and intervention, potentially reducing adverse outcomes. Emerging artificial intelligence (AI) tools further enhance EKG interpretation and clinical decision-making.

CONCLUSIONS

Transitioning to the OMI paradigm addresses critical gaps in the STEMI/NSTEMI framework by emphasizing the identification of ACO irrespective of ST-segment elevation. This approach could significantly improve patient outcomes by reducing delays in reperfusion therapy. Future randomized trials are needed to validate the OMI paradigm and optimize its implementation in clinical practice.

Effectiveness of a nurse training intervention in the emergency department to improve the diagnosis and treatment of stemi patients: EDUCAMI study

BACKGROUND

Clinical practice guidelines for acute coronary syndrome recommend an interval between electrocardiogram (ECG) and balloon of <60 min in patients attending the emergency department (ED) of a hospital with primary angioplasty capacity. Compliance with this can be complex, especially in atypical presentations.

OBJECTIVE

To assess the effectiveness of specific training for ED triage nurses in reducing ECG-balloon time in STEMI.

METHODS

Quasi-experimental study with a pre-test-post-test design. In June 2021, a training intervention was implemented in the diagnosis of STEMI in the ED. The EDUCAMI program included complex presentations, emphasising disparities in women and elderly people. A historical sample was compared with a post-intervention sample. All patients consecutively activated as code STEMI in the ED were included, excluding those activated out-of-hospital. The main variable was ECG-balloon time, which was compared according to sex and age.

RESULTS

The final sample consisted of 447 patients distributed into historical sample (n = 327) and post-test groups (n = 120). A reduction from 88 (65-133) to 60 (50-116) minutes in ECG-balloon time was observed in the post-test group together with a shorter hospital stay of 5 (3-8) vs 4 (3-5.5) days (p= 0.013). When comparing according to sex and age, a decrease in ECG-balloon time (p < 0.001) was observed in men and patients under 65 years of age (p < 0.001).

CONCLUSIONS

The training intervention proved effective, reducing the ECG-balloon time by 32 %. EDUCAMI reduces the time in men and young people, however, the bias persists in women and those over 65 years of age.

Missing occlusions: Quality gaps for ED patients with occlusion MI

BACKGROUND

ST-elevation Myocardial Infarction (STEMI) guidelines encourage monitoring of false positives (Code STEMI without culprit) but ignore false negatives (non-STEMI with occlusion myocardial infarction [OMI]). We evaluated the hospital course of emergency department (ED) patients with acute coronary syndrome (ACS) using STEMI vs OMI paradigms.

METHODS

This retrospective chart review examined all ACS patients admitted through two academic EDs, from June 2021 to May 2022, categorized as 1) OMI (acute culprit lesion with TIMI 0-2 flow, or acute culprit lesion with TIMI 3 flow and peak troponin I >10,000 ng/L; or, if no angiogram, peak troponin >10,000 ng/L with new regional wall motion abnormality), 2) NOMI (Non-OMI, i.e. MI without OMI) or 3) MIRO (MI ruled out: no troponin elevation). Patients were stratified by admission for STEMI. Initial ECGs were reviewed for automated interpretation of "STEMI", and admission/discharge diagnoses were compared.

RESULTS

Among 382 patients, there were 141 OMIs, 181 NOMIs, and 60 MIROs. Only 40.4% of OMIs were admitted as STEMI: 60.0% had "STEMI" on ECG, and median door-to-cath time was 103 min (IQR 71-149). But 59.6% of OMIs were not admitted as STEMI: 1.3% had "STEMI" on ECG (p < 0.001) and median door-to-cath time was 1712 min (IQR 1043-3960; p < 0.001). While 13.9% of STEMIs were false positive and had a different discharge diagnosis, 32.0% of Non-STEMIs had OMI but were still discharged as "Non-STEMI."

CONCLUSIONS

STEMI criteria miss a majority of OMI, and discharge diagnoses highlight false positive STEMI but never false negative STEMI. The OMI paradigm reveals quality gaps and opportunities for improvement.

A blueprint for building an emergency department quality improvement and patient safety committee

The field of quality improvement and patient safety (QIPS) has matured significantly in emergency medicine over the past decade. From standalone, strategically misaligned, and incoherently designed QIPS projects years ago, emergency department (ED) leaders have now recognized that developing a more robust QIPS infrastructure helps prioritize and organize projects for a greater likelihood of success and impact for patients and the system. This process includes the development of a well-defined, accountable, and supported departmental QIPS committee. This can be achieved effectively using a deliberate and structured approach, such as the one described by Harvard Business School Professor John Kotter in his seminal work, “Leading Change.” Herein, we present a blueprint using this framework and include practical examples from our experience developing a robust and successful ED QIPS committee and infrastructure. The steps include how to develop a “burning platform,” select a guiding coalition of leaders, develop a strategic vision and initiatives, recruit a volunteer army of members, enable actions for the committee, generate short-term successes, sustain the pace of change, and, finally, enable the infrastructure to support ongoing improvements. This road map can be replicated by ED teams of variable sizes and settings to structure, prioritize, and operationalize their QIPS activities and ultimately improve the outcomes of their patients.

Flattening the other curve: Reducing emergency department STEMI delays during the COVID-19 pandemic

Background

The COVID-19 pandemic has been associated with ST-Elevation Myocardial Infarction (STEMI) reperfusion delays despite reduced emergency department (ED) volumes. However, little is known about ED contributions to these delays. We sought to measure STEMI delays and ED quality benchmarks over the course of the first two waves of the pandemic.

Study

This study was a multi-centre, retrospective chart review from two urban, academic medical centres. We obtained ED volumes, COVID-19 tests and COVID-19 cases from the hospital databases and ED Code STEMIs with culprit lesions from the cath lab. We measured door-to-ECG (DTE) time and ECG-to-Activation (ETA) time during the phases of the pandemic in our jurisdiction: pre-first wave (Jan-Mar 2020), first wave (Apr-June 2020), post-first wave (July-Nov 2020), and second wave (Dec 2020 to Feb 2021). We calculated median DTE and ETA times and compared them to the 2019 baseline using Wilcox rank-sum test. We calculated the percentages of DTE ≤10 min and of ETA ≤10 min and compared them to baseline using chi-square test. We also utilized Statistical Process Control (SPC) Xbar-R charts to assess for special cause variation.

Results

COVID-19 cases began during the pre-wave phase, but there was no change in ED volumes or STEMI quality metrics. During the first wave ED volumes fell by 40%, DTE tripled (10.0 to 29.5 min, p = 0.016), ETA doubled (8.5 to 17.0 min, p = 0.04), and percentages for both DTE ≤10 min and ETA ≤10 min fell by three-quarters (each from more than 50%, to both 12.5%, both p < 0.05). After the first wave all STEMI quality benchmarks returned to baseline and did not significantly change during the second wave. A brief period of special cause variation was noted for DTE during the first wave.

Conclusions

Both DTE and ETA metrics worsened during the first wave of the pandemic, revealing how it negatively impacted the triage and diagnosis of STEMI patients. But these normalized after the first wave and were unaffected by the second wave, indicating that nurses and physicians adapted to the pandemic to maintain STEMI quality of care. DTE and ETA metrics can help EDs identify delays to reperfusion during the pandemic and beyond.