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Can a nurse trained in coronary care expedite emergency department management of patients with acute coronary syndromes?

Kucia AM, Taylor KT, Horowitz JD

Heart & lung : the journal of critical care, 2001

893 participants

Abstract

OBJECTIVE: The goal of this study was to determine the effect of a coronary care-trained nurse (CCTN) on transfer times of patients presenting with acute coronary syndromes (ACS) from the emergency department (ED) to the coronary care unit (CCU) for definitive cardiac treatment (DCT).

DESIGN: This was a prospective randomized controlled study.

SETTING: The study took place in the ED of a metropolitan public teaching hospital in South Australia.

PATIENTS: The study sample was comprised of 893 patients who presented to the ED with a complaint of chest pain.

INTERVENTION: An experienced senior CCTN was randomly assigned to work in an ED for 16 randomly selected hours per week; comparable hours over the same period without a CCTN in attendance were used as control data. The major endpoint was time to CCU transfer where DCT was completed for patients with ACS.

RESULTS: Out of 893 patients assessed as having possible ACS, 91 (10%) were admitted to the CCU, 47 with a diagnosis of unstable angina pectoris (UAP) and 44 with a diagnosis of acute myocardial infarction. Nineteen patients required thrombolysis and/or percutaneous coronary angioplasty. Mean times (in minutes) to transfer for DCT (95% CI) were 102 (70-134) and 117 (95-139) in the presence and absence of a CCTN, respectively, for all ACS, and 33 (10-55) and 54 (25-82), respectively, for acute myocardial infarction requiring thrombolysis and/or percutaneous coronary angioplasty.

CONCLUSIONS: These pilot data show a…

How strong is the evidence?

Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 893 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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