Resumo Fundamento: Em nosso conhecimento, não há estudos que avaliam a influência da unidade de primeiro contato na frequência e tempo para o tratamento farmacológico durante um evento de síndrome coronariana aguda (SCA). Objetivos: O principal objetivo foi investigar se a unidade de primeiro contato influencia a frequência e o tempo para tratamento com aspirina no estudo "Estratégia de Registro de Insuficiência Coronariana" (ERICO). Métodos: Analisamos o tempo para o tratamento farmacológico em 830 participantes do estudo ERICO - 700 indivíduos cuja primeira unidade de contato foi o hospital, e 130 que procuraram, num primeiro momento, unidades de atenção primária. Construímos modelos de regressão logística para estudar se a unidade de primeiro contato estava associada a um tempo de tratamento de menos de três horas. Resultados: Indivíduos que buscaram unidades de atenção primária receberam a primeira dose de aspirina nestas unidades em 75,6% dos casos. Os outros 24,4% receberam a aspirina no hospital. Apesar deste achado, indivíduos de unidades de atenção primária receberam aspirina em três horas mais frequentemente do que aqueles que foram ao hospital (76,8% vs 52,6%; p<0,001 e 100% vs, 70,7%; p=0,001 para SCA sem elevação do segmento ST e infarto agudo do miocárdio com elevação do ST, respectivamente). Em modelos ajustados, indivíduos vindos de unidades de atenção primária tinham mais probabilidade de receber aspirina mais rapidamente (razão de chances: 3,66; 95% intervalo de confiança: 2,06-6,51). Conclusões: Neste contexto, indivíduos provenientes de unidades de atenção primária tinham maior chance de receber aspirina mais rapidamente. O aprimoramento da capacidade das unidades de atenção primária para proporcionar tratamento precoce e transporte seguro pode ser benéfico em contextos similares.

Abstract Background: To the best of our knowledge, there are no studies evaluating the influence of the unit of the first contact on the frequency and time of pharmacological treatment during an acute coronary syndrome (ACS) event. Objectives: The main objective was to investigate if the unit of first contact influenced the frequency and time of aspirin treatment in the Strategy of Registry of Acute Coronary Syndrome (ERICO) study. Methods: We analyzed the pharmacological treatment time in 830 ERICO participants - 700 individuals for whom the hospital was the unit of first contact and 130 who initially sought primary care units. We built logistic regression models to study whether the unit of first contact was associated with a treatment time of less than three hours. Results: Individuals who went to primary care units received the first aspirin dose in those units in 75.6% of the cases. The remaining 24.4% received aspirin at the hospital. Despite this finding, individuals from primary care still had aspirin administered within three hours more frequently than those who went to the hospital (76.8% vs 52.6%; p<0.001 and 100% vs. 70.7%; p=0.001 for non ST-elevation ACS and ST-elevation myocardial infarction, respectively). In adjusted models, individuals coming from primary care were more likely to receive aspirin more quickly (odds ratio: 3.66; 95% confidence interval: 2.06-6.51). Conclusions: In our setting, individuals from primary care were more likely to receive aspirin earlier. Enhancing the ability of primary care units to provide early treatment and safe transportation may be beneficial in similar settings.

Fundamento:Dados sobre sobrevida após uma síndrome coronariana aguda (SCA) são geralmente de curto prazo ou baseados em centros cardiológicos.Objetivo:Descrever a frequência de ocorrência de óbito em um ano no Estudo de Registro de Insuficiência Coronariana (ERICO), e seus preditores.Métodos:Foram analisados 964 participantes ERICO incluídos de fevereiro/2009 a dezembro/2012. O estado vital dos participantes foi obtido por telefone e fontes oficiais de óbito. A causa de morte foi determinada pelos certificados de óbito. Foi utilizado o teste log-rank para comparar probabilidades de sobrevivência. Construímos modelos de regressão de Cox, brutos e ajustados (para idade, sexo e subtipo de SCA), para estudar se o subtipo de SCA ou características de entrada no estudo foram preditores independentes de mortalidade.Resultados:Identificamos 110 óbitos (frequência de ocorrência de óbito, 12,0%). A idade (risco relativo [RR] em 10 anos = 2,04; intervalo de confiança de 95% [IC95%]=1,75-2,38), infarto do miocárdio sem elevação do segmento ST (RR = 3,82; IC95% = 2,21-6,60) ou infarto do miocárdio com elevação do segmento ST (RR = 2,59; IC95% = 1,38‑4,89) e diabetes (RR = 1,78; IC95% = 1,20-2,63) foram fatores de risco significativos para mortalidade geral em modelos ajustados. Encontramos resultados semelhantes para mortalidade cardiovascular. Diagnóstico prévio de doença arterial coronariana também foi um preditor independente de mortalidade geral (RR = 1,61; IC95% = 1,04-2,50), mas não de mortalidade cardiovascular.Conclusão:Encontramos uma frequência de ocorrência de óbito em um ano de 12,0% nesta amostra de pacientes pós-SCA de um hospital comunitário em São Paulo. Idade, subtipo de SCA e diabetes foram preditores independentes de pior sobrevida em um ano.

Background:Information about post-acute coronary syndrome (ACS) survival have been mostly short-term findings or based on specialized, cardiology referral centers.Objectives:To describe one-year case-fatality rates in the Strategy of Registry of Acute Coronary Syndrome (ERICO) cohort, and to study baseline characteristics as predictors.Methods:We analyzed data from 964 ERICO participants enrolled from February 2009 to December 2012. We assessed vital status by telephone contact and official death certificate searches. The cause of death was determined according to the official death certificates. We used log-rank tests to compare the probabilities of survival across subgroups. We built crude and adjusted (for age, sex and ACS subtype) Cox regression models to study if the ACS subtype or baseline characteristics were independent predictors of all-cause or cardiovascular mortality.Results:We identified 110 deaths in the cohort (case-fatality rate, 12.0%). Age [Hazard ratio (HR) = 2.04 per 10 year increase; 95% confidence interval (95%CI) = 1.75–2.38], non-ST elevation myocardial infarction (HR = 3.82 ; 95%CI = 2.21–6.60) or ST elevation myocardial infarction (HR = 2.59; 95%CI = 1.38–4.89) diagnoses, and diabetes (HR = 1.78; 95%CI = 1.20‑2.63) were significant risk factors for all-cause mortality in the adjusted models. We found similar results for cardiovascular mortality. A previous coronary artery disease diagnosis was also an independent predictor of all-cause mortality (HR = 1.61; 95%CI = 1.04–2.50), but not for cardiovascular mortality.Conclusion:We found an overall one-year mortality rate of 12.0% in a sample of post-ACS patients in a community, non-specialized hospital in São Paulo, Brazil. Age, ACS subtype, and diabetes were independent predictors of poor one‑year survival for overall and cardiovascular-related causes.

OBJECTIVES: To describe the ERICO study (Strategy of Registry of Acute Coronary Syndrome), a prospective cohort to investigate the epidemiology of acute coronary syndrome. METHODS: The ERICO study, which is being performed at a secondary general hospital in São Paulo, Brazil, is enrolling consecutive acute coronary syndrome patients who are 35 years old or older. The sociodemographic information, medical assessments, treatment data and blood samples are collected at admission. After 30 days, the medical history is updated, and additional blood and urinary samples are collected. In addition, a retinography, carotid intima-media thickness, heart rate variability and pulse-wave velocity are performed. Questionnaires about food frequency, physical activity, sleep apnea and depression are also applied. At six months and annually after an acute event, information is collected by telephone. RESULTS: From February 2009 to September 2011, 738 patients with a diagnosis of an acute coronary syndrome were enrolled. Of these, 208 (28.2%) had ST-elevation myocardial infarction (STEMI), 288 (39.0%) had non-ST-elevation myocardial infarction (NSTEMI) and 242 (32.8%) had unstable angina (UA). The mean age was 62.7 years, 58.5% were men and 77.4% had 8 years or less of education. The most common cardiovascular risk factors were hypertension (76%) and sedentarism (73.4%). Only 29.2% had a prior history of coronary heart disease. Compared with the ST-elevation myocardial infarction subgroup, the unstable angina and non-ST-elevation myocardial infarction patients had higher frequencies of hypertension, diabetes, prior coronary heart disease (p<0.001) and dyslipidemia (p = 0.03). Smoking was more frequent in the ST-elevation myocardial infarction patients (p = 0.006). CONCLUSIONS: Compared with other hospital registries, our findings revealed a higher burden of CV risk factors and less frequent prior CHD history.