Hélder Pereira1, Rita Calé2, Fausto J Pinto3, Ernesto Pereira2, Daniel Caldeira2, Sofia Mello4, Sílvia Vitorino2, Manuel de Sousa Almeida5, Jorge Mimoso6. 1. Cardiology Department, Hospital Garcia de Orta, Almada, Portugal. Electronic address: hhpereira@gmail.com. 2. Cardiology Department, Hospital Garcia de Orta, Almada, Portugal. 3. Cardiology Department, University of Lisbon, Lisbon, Portugal. 4. SFL Project Manager, Lisbon, Portugal. 5. Cardiology Department, Centro Hospitalar de Lisboa Ocidental, Lisboa, Portugal. 6. Centro Hospitalar do Algarve, Faro, Portugal.
Abstract
INTRODUCTION AND AIMS: Shorter patient delays are associated with a better prognosis for patients diagnosed with ST-segment elevation myocardial infarction (STEMI). This study aimed to identify predictors of patient delay in the Portuguese population. METHODS: Data on 994 patients with suspected STEMI of less than 12 hours' duration and referred for primary percutaneous coronary intervention (pPCI) and admitted to 18 Portuguese interventional cardiology centers were collected for a one-month period every year from 2011 to 2015. Univariate and multivariate linear regression models were used to identify predictors of patient delay. RESULTS: No significant differences were observed in patient delay over the course of the survey. The multivariate analysis identified five predictors of patient delay: age ≥75 years (exp[beta] 1.28; 95% CI 1.10-1.50; p=0.001), symptom onset between 0:00 and 8:00 a.m. (exp[beta] 1.26; 95% CI 1.10-1.45; p=0.001), and attending a primary care unit before first medical contact (exp[beta] 1.75; 95% CI 1.41-2.16; p<0.001) predicted longer patient delay, while calling the national medical emergency number (112) (exp[beta] 0.84; 95% CI 0.71-1.00; p=0.045) and transport by the emergency medical services to the pPCI facility (exp[beta] 0.71; 95% CI 0.59-0.84; p<0.001) predicted shorter patient delay. CONCLUSIONS: We identified five factors predicting patient delay, which will help in planning interventions to reduce patient delays and to improve the outcome of patients with STEMI.
INTRODUCTION AND AIMS: Shorter patient delays are associated with a better prognosis for patients diagnosed with ST-segment elevation myocardial infarction (STEMI). This study aimed to identify predictors of patient delay in the Portuguese population. METHODS: Data on 994 patients with suspected STEMI of less than 12 hours' duration and referred for primary percutaneous coronary intervention (pPCI) and admitted to 18 Portuguese interventional cardiology centers were collected for a one-month period every year from 2011 to 2015. Univariate and multivariate linear regression models were used to identify predictors of patient delay. RESULTS: No significant differences were observed in patient delay over the course of the survey. The multivariate analysis identified five predictors of patient delay: age ≥75 years (exp[beta] 1.28; 95% CI 1.10-1.50; p=0.001), symptom onset between 0:00 and 8:00 a.m. (exp[beta] 1.26; 95% CI 1.10-1.45; p=0.001), and attending a primary care unit before first medical contact (exp[beta] 1.75; 95% CI 1.41-2.16; p<0.001) predicted longer patient delay, while calling the national medical emergency number (112) (exp[beta] 0.84; 95% CI 0.71-1.00; p=0.045) and transport by the emergency medical services to the pPCI facility (exp[beta] 0.71; 95% CI 0.59-0.84; p<0.001) predicted shorter patient delay. CONCLUSIONS: We identified five factors predicting patient delay, which will help in planning interventions to reduce patient delays and to improve the outcome of patients with STEMI.
Keywords:
Atraso do doente; Enfarte agudo do miocárdio com supradesnivelamento de ST; Fatores preditivos; Patient delay; Predictive factors; ST-segment elevation myocardial infarction; Stent for life