Chest pain in an out-of-hospital emergency setting: no relationship between pain severity and diagnosis of acute myocardial infarction.

Autor: Galinski M; AP-HP, CNRD, Hôpital Trousseau, Paris, France; EA 3509, Université Paris 13, Sorbonne Paris Cité, Bobigny, France., Saget D, Ruscev M, Gonzalez G, Ameur L, Lapostolle F, Adnet F
Jazyk: angličtina
Zdroj: Pain practice : the official journal of World Institute of Pain [Pain Pract] 2015 Apr; Vol. 15 (4), pp. 343-7. Date of Electronic Publication: 2014 Mar 20.
DOI: 10.1111/papr.12178
Abstrakt: Background: Chest pain frequently prompts emergency medical services (EMS) call-outs. Early management of acute coronary syndrome (ACS) cases is crucial, but there is still controversy over the relevance of pain severity as a diagnostic criterion.
Study Objective: The aim of this study was to determine whether there is a relationship between the severity of chest pain at the time of out-of-hospital emergency care and diagnosis of acute myocardial infarction (AMI).
Methods: This was a subsidiary analysis of prehospital data collated prospectively by EMS in a large suburb. It concerned patients with chest pain taken to hospital by a mobile intensive care unit. Pain was rated on EMS arrival using a visual analog, numeric or verbal rating scale and classified on severe or not severe according to the pain score. A diagnosis of AMI was confirmed or ruled out on the basis of 2 plasma troponin measurements and/or coronary angiography results.
Results: Among the cohort of 2,279 patients included, 234 were suitable for analysis, of which 109 (47%) were diagnosed with AMI. The rate of severe pain on EMS arrival was not significantly different between AMI patients and no myocardial infarction patients (49% [95% CI 40 to 58] and 43% [34 to 52], respectively; P = 0.3; odds ratio 1.3 [0.8 - 2.3] after adjustment for age and gender).
Conclusion: In our out-of-hospital emergency setting, the severity of chest pain was not a useful diagnostic criterion for AMI.
(© 2014 World Institute of Pain.)
Databáze: MEDLINE