Implementing the European Society of Cardiology 0-h/1-h algorithm in patients presenting very early after chest pain.
Int J Cardiol
; 320: 1-6, 2020 12 01.
Article
em En
| MEDLINE
| ID: mdl-32730826
ABSTRACT
BACKGROUND:
The European Society of Cardiology (ESC) recommends a 0-h/1-h (0/1-h) algorithm to classify patients with suspected non-ST-segment elevation myocardial infarction (NSTEMI). However, reliable evidence about patients who present early after the onset of symptoms is limited, likely because high-sensitivity cardiac troponin (hs-cTn) values cannot increase sufficiently within that time. This study aimed to evaluate the outcomes in real-world situations that utilized the 0/1-h algorithm.METHODS:
In a prospective, international, multicenter cohort study that enrolled 1638 patients presenting with acute chest pain to the emergency department, we assessed the performance of the 0/1-h algorithm using hs-cTnT and the associated 30-day rates of major adverse cardiac events death and acute myocardial infarction (AMI).RESULTS:
Among 1074 patients, the prevalence of AMI was 16.0%. An approximately 60.1% (n = 645) of patients visited the hospital within 3 h after onset of chest pain (less than 1 h; 18.2% [n = 196], less than 2 h; 27.5% [n = 295], and less than 3 h; 14.3% [n = 154]). Moreover, the prevalence rates of AMI were similar at all times (1 h, 16.8%; 1-2 h, 20.7%; 2-3 h, 18.2%; p = .5). According to the ESC 0/1-h algorithm, the distribution patterns of rule-out, observe, and rule-in groups were similar; however, none of the patients was diagnosed with AMI or cardiac death in the rule-out group.CONCLUSION:
This study revealed the applicability of the 0/1-h algorithm for the management of early presenters.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Dor no Peito
/
Cardiologia
Tipo de estudo:
Clinical_trials
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Diagnostic_studies
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Etiology_studies
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Incidence_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article