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• W4317104890 abstract "In ST-segment elevation myocardial infarction (STEMI), time delay between symptom onset and treatment is critical to improve outcome. The expected transport delay between patient location and percutaneous coronary intervention (PCI) centre is paramount for choosing the adequate reperfusion therapy. The Centro region of Portugal has heterogeneity in PCI assess due to geographical reasons. We aimed to explore time delays between regions using process mining tools.Retrospective observational analysis of patients with STEMI from the Portuguese Registry of Acute Coronary Syndromes. We collected information on geographical area of symptom onset, reperfusion option, and in-hospital mortality. We built a national and a regional patient's flow models by using a process mining methodology based on parallel activity-based log inference algorithm.Totally, 8956 patients (75% male, 48% from 51 to 70 years) were included in the national model. Most patients (73%) had primary PCI, with the median time between admission and treatment <120 minutes in every region; Centro had the longest delay. In the regional model corresponding to the Centro region of Portugal divided by districts, only 61% had primary PCI, with Guarda (05:04) and Castelo Branco (06:50) showing longer delays between diagnosis and reperfusion than Coimbra (01:19). For both models, in-hospital mortality was higher for those without reperfusion therapy compared to PCI and fibrinolysis.Process mining tools help to understand referencing networks visually, easily highlighting its inefficiencies and potential needs for improvement. A new PCI centre in the Centro region is critical to offer timely first-line treatment to their population." @default.
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• W4317104890 date "2023-01-01" @default.
• W4317104890 modified "2023-10-18" @default.
• W4317104890 title "Assessment of distance to primary percutaneous coronary intervention centres in ST-segment elevation myocardial infarction: Overcoming inequalities with process mining tools" @default.
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• W4317104890 doi "https://doi.org/10.1177/20552076221144210" @default.
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