Introduction. Cardiovascular diseases (CVDs) continue to be the most common cause of death worldwide, and acute myocardial infarction (AMI) is noteworthy due to its great magnitude. Objectives. This study was carried out to evaluate the structure (molecular and particle size) and functionality of high-density lipoprotein (HDL) shortly after AMI, in the presence of acute inflammatory response. Casuistic and Methods. A cross-sectional, observational study was conducted between January 2015 and August 2016, with a total convenient sample of 85 patients. The patients’ data were segregated according to the Registry of Acute Myocardial Infarction (REAMI), with 45 confirmed AMI patients. The study groups consisted of patients from both sexes, older than 35 years, presented to the Hospital São Rafael (HSR) initially with AMI clinical symptoms. In addition, 40 nonischemic control patients (CPs), without AMI symptomatology, and according to previous inclusion criteria, were selected for convenience in an outpatient care unit. The HDL particle size was measured by laser light scattering (LLS), after separation of HDL from apoB-rich lipoproteins. The paraoxonase-1 (PON-1) activity was determined in a spectrophotometer by using paraoxon as a substrate. The other laboratory marker information, secondary data, was obtained in the laboratory system. Results. The HDL particle size, free cholesterol, and hs-CRP analysis showed significant differences when compared between REAMI and CP groups (p<0.0001, p=0.007, and p<0.0001; two-tailed unpaired t-test, respectively). Regarding paraoxonase, the data comparison between REAMI and CP groups was also significantly different (p<0.0067; two-tailed unpaired t-test). Conclusion. Despite an important current database on the HDL cholesterol role, our study provides relevant complementary information about the HDL particle susceptibility to the inflammation following AMI. The HDL particles’ quantitative and functional attributes should be measured as markers of HDL functionality.

ResumoFundamento: Os níveis plasmáticos de peptídeos natriuréticos cerebrais têm melhor precisão diagnóstica em comparação com a avaliação clínico-radiológica para insuficiência cardíaca aguda. Nas síndromes coronárias agudas (SCA), o valor prognóstico da insuficiência cardíaca aguda é incorporado nos modelos preditivos através da classificação de Killip. Não está estabelecido se o NT-proBNP poderia aumentar a previsão prognóstica. Objetivo: Avaliar se o NT-proBNP, como medida da disfunção ventricular esquerda, melhora o valor prognóstico intra-hospitalar do escore GRACE na SCA. Métodos: Foram incluídos no estudo pacientes admitidos por dor torácica aguda, com eletrocardiograma e/ou critérios de troponina para SCA. O nível plasmático de NT-proBNP foi medido no momento da admissão hospitalar e o desfecho primário foi definido como morte cardiovascular durante a hospitalização. Foi considerado significativo o valor de p < 0,05. Resultados: A mortalidade cardiovascular entre os 352 pacientes estudados foi de 4,8%. O valor preditivo do NT-proBNP para morte cardiovascular foi mostrado por uma estatística C de 0,78 (IC 95% = 0,65-0,90). Após o ajuste para o modelo GRACE subtraído pela variável Killip, o NT-proBNP permaneceu independentemente associado à morte cardiovascular (p = 0,015). No entanto, a discriminação pelo modelo logístico GRACE-BNP (estatística C = 0,83; IC 95% = 0,69-0,97) não foi superior ao escore GRACE tradicional com Killip (estatística C = 0,82; IC 95% = 0,68-0,97). O modelo GRACE-BNP não proporcionou melhora na classificação dos pacientes de alto risco pelo Escore GRACE (índice líquido de reclassificação = -0,15; p = 0,14). Conclusão: Apesar da associação estatística com a morte cardiovascular, não houve evidências de que o NT-proBNP aumente o valor prognóstico do escore GRACE na SCA. (Arq Bras Cardiol. 2020; [online].ahead print, PP.0-0) Palavras-chave: Síndrome Coronariana Aguda; Insuficiência Cardíaca; Peptídeo Natriurético Encefálico; Mortalidade; Disfunção Ventricular Esquerda; Biomarcadores. AbstractBackground: Plasma levels of brain natriuretic peptides have better diagnostic accuracy compared to clinical-radiologic judgment for acute heart failure. In acute coronary syndromes (ACS), the prognostic value of acute heart failure is incorporated into predictive models through Killip classification. It is not established whether NT-proBNP could increment prognostic prediction.Objective: To evaluate whether NT-proBNP, as a measure of left ventricular dysfunction, improves the in-hospital prognostic value of the GRACE score in ACS. Methods:Patients admitted due to acute chest pain, with electrocardiogram and/or troponin criteria for ACS were included in the study. The plasma level of NT-proBNP was measured at hospital admission and the primary endpoint was defined as cardiovascular death during hospitalization. P-value < 0.05 was considered as significant.Results: Among 352 patients studied, cardiovascular mortality was 4.8%. The predictive value of NT-proBNP for cardiovascular death was shown by ...

AIMTo test accuracy and reproducibility of gestalt to predict obstructive coronary artery disease (CAD) in patients with acute chest pain.METHODSWe studied individuals who were consecutively admitted to our Chest Pain Unit. At admission, investigators performed a standardized interview and recorded 14 chest pain features. Based on these features, a cardiologist who was blind to other clinical characteristics made unstructured judgment of CAD probability, both numerically and categorically. As the reference standard for testing the accuracy of gestalt, angiography was required to rule-in CAD, while either angiography or non-invasive test could be used to rule-out. In order to assess reproducibility, a second cardiologist did the same procedure.RESULTSIn a sample of 330 patients, the prevalence of obstructive CAD was 48%. Gestalt’s numerical probability was associated with CAD, but the area under the curve of 0.61 (95%CI: 0.55-0.67) indicated low level of accuracy. Accordingly, categorical definition of typical chest pain had a sensitivity of 48% (95%CI: 40%-55%) and specificity of 66% (95%CI: 59%-73%), yielding a negligible positive likelihood ratio of 1.4 (95%CI: 0.65-2.0) and negative likelihood ratio of 0.79 (95%CI: 0.62-1.02). Agreement between the two cardiologists was poor in the numerical classification (95% limits of agreement = -71% to 51%) and categorical definition of typical pain (Kappa = 0.29; 95%CI: 0.21-0.37).CONCLUSIONClinical judgment based on a combination of chest pain features is neither accurate nor reproducible in predicting obstructive CAD in the acute setting.

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