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Chest pain unit and decentralized testing of cardiac markers

I Casagranda1, R Boverio, R Baio

  • 1Emergency Department, SS Antonio e Biagio e C.Arrigo Hospital, Alessandria, Italy. icasagranda@ospedale.al.it

Insights

Chest Pain Units (CPUs) help rule out acute coronary syndrome in emergency patients. Point-of-care testing in CPUs provides rapid, cost-effective cardiac marker results for timely diagnosis.

Area of Science:

  • Cardiology
  • Emergency Medicine

Background:

  • Chest pain is a frequent reason for Emergency Department (ED) visits, accounting for 5% of arrivals.
  • Diagnosing acute coronary syndrome (ACS) promptly in patients with undifferentiated chest pain is challenging.
  • Chest Pain Units (CPUs) have been proposed to improve the management of these patients.

Purpose of the Study:

  • To describe the implementation and experience of a Chest Pain Unit (CPU) at Alessandria Hospital.
  • To evaluate the utility of continuous ECG monitoring and serial cardiac marker testing in CPU patients.
  • To assess the role of a point-of-care analyzer for rapid cardiac marker determination.

Main Methods:

  • Patients presenting to the ED with undifferentiated chest pain were admitted to the CPU for continuous ECG monitoring (S-T trend for 24 h).
  • Cardiac markers (myoglobin, CK-MB mass, Troponin-I) were measured on arrival and Troponin-I was serially tested at 3, 6, 9, and 18 hours.
  • A point-of-care analyzer was utilized for rapid, on-site measurement of cardiac markers.

Main Results:

  • The CPU facilitates the exclusion or confirmation of acute coronary syndrome through continuous monitoring and serial biomarker analysis.
  • Point-of-care testing provided rapid, cost-effective results comparable to laboratory instruments.
  • The analyzer was user-friendly, allowing nurses to operate it without disrupting their workflow.

Conclusions:

  • Chest Pain Units are effective in managing patients with chest pain, aiding in the diagnosis of acute coronary syndrome.
  • Point-of-care analyzers enhance the efficiency of cardiac marker testing in CPUs, enabling quicker clinical decisions.
  • The described CPU model integrates continuous monitoring and rapid diagnostics for improved patient care.

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