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1.
Clin Res Cardiol ; 109(3): 393-399, 2020 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-31256260

RESUMO

OBJECTIVE: The emergency medical service (EMS) provides rapid pre-hospital diagnosis and transportation in ST-elevation myocardial infarction (STEMI) systems of care. Aim of the study was to assess temporal and regional characteristics of EMS-related delays in a metropolitan STEMI network. METHODS: Patient call-to-arrival of EMS at site (call-to-site), transportation time from site to hospital (site-to-door), call-to-door, patient's location, month, weekday, and hour of EMS activation were recorded in 4751 patients referred to a tertiary center with suspicion of STEMI. RESULTS: Median call-to-site, site-to-door, and call-to-door times were 9 (7-12), 39 (31-48), and 49 (41-59) minutes, respectively. The shortest transportation times were noted between 08:00 and 16:00 and in general on Sundays. They were significantly prolonged between midnight and 04:00, whereby the longest difference did not exceed 4 min in median. Patient's site of call had a major impact on transportation times, which were shorter in Central and Western districts as compared to Southern and Eastern districts of Vienna (p < 0.001 between-group difference for call-to-site, site-to-door, and call-to-door). After multivariable adjustment, patient's site of call was an independent predictor of call-to-site delay (p < 0.001). Moreover, age and hour of EMS activation were the strongest predictors of call-to-site, site-to-door, and call-to-door delays (p < 0.05). CONCLUSION: In our Viennese STEMI network, the strongest determinants of pre-hospital EMS-related transportation delays were patient's site of call, patient's age, and hour of EMS activation. Due to the significant but small median time delays, which are within the guideline-recommended time intervals, no impact on clinical outcome can be expected.


Assuntos
Serviços Médicos de Emergência/estatística & dados numéricos , Infarto do Miocárdio com Supradesnível do Segmento ST/terapia , Tempo para o Tratamento/estatística & dados numéricos , Transporte de Pacientes/estatística & dados numéricos , Fatores Etários , Idoso , Áustria , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Fatores de Tempo
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