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Heart failure (HF) studies typically focus on ischemic and idiopathic heart diseases. Chronic chagasic cardiomyopathy (CCC) is a progressive degenerative inflammatory condition highly prevalent in Latin America that leads to a disturbance of cardiac conduction system. Despite its clinical and epidemiological importance, CCC molecular pathogenesis is poorly understood. Here we characterize and discriminate the plasma metabolomic profile of 15 patients with advanced HF referred for heart transplantation - 8 patients with CCC and 7 with idiopathic dilated cardiomyopathy (IDC) - using gas chromatography/quadrupole time-of-flight mass spectrometry. Compared to the 12 heart donor individuals, also included to represent the control (CTRL) scenario, patients with advanced HF exhibited a metabolic imbalance with 21 discriminating metabolites, mostly indicative of accumulation of fatty acids, amino acids and important components of the tricarboxylic acid (TCA) cycle. CCC vs. IDC analyses revealed a metabolic disparity between conditions, with 12 CCC distinctive metabolites vs. 11 IDC representative metabolites. Disturbances were mainly related to amino acid metabolism profile. Although mitochondrial dysfunction and loss of metabolic flexibility may be a central mechanistic event in advanced HF, metabolic imbalance differs between CCC and IDC populations, possibly explaining the dissimilar clinical course of Chagas' patients.

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BACKGROUND: The European Society of Cardiology guidelines recommend an LDL-cholesterol (LDL-C) < 55 mg/dL for patients with established cardiovascular disease. While the Friedewald equation to estimate LDL-C is still widely used, the newer Martin-Hopkins equation has shown greater accuracy. OBJECTIVES: We aimed to assess: A) the proportion of patients reaching LDL-C goal and the therapies used in a tertiary center; B) the impact of using the Martin-Hopkins method instead of Friedewald's on the proportion of controlled patients. METHODS: A single-center cross-sectional study including consecutive post-myocardial infarction patients followed by 20 cardiologists in a tertiary hospital. Data was collected retrospectively from clinical appointments that took place after April 2022. For each patient, the LDL-C levels and attainment of goals were estimated from an ambulatory lipid profile using both Friedewald and Martin-Hopkins equations. A two-tailed p-value of < 0.05 was considered statistically significant for all tests. RESULTS: Overall, 400 patients were included (aged 67 ± 13 years, 77% male). Using Friedewald's equation, the median LDL-C under therapy was 64 (50-81) mg/dL, and 31% had LDL-C within goals. High-intensity statins were used in 64% of patients, 37% were on ezetimibe, and 0.5% were under PCSK9 inhibitors. Combination therapy of high-intensity statin + ezetimibe was used in 102 patients (26%). Applying the Martin-Hopkins method would reclassify a total of 31 patients (7.8%). Among those deemed controlled by Friedewald's equation, 27 (21.6%) would have a Martin-Hopkins' LDL-C above goals. CONCLUSIONS: Less than one-third of post-myocardial infarction patients had LDL-C within the goal. Applying the Martin-Hopkins equation would reclassify one-fifth of presumably controlled patients into the non-controlled group.

FUNDAMENTO: As diretrizes da Sociedade Europeia de Cardiologia recomendam um nível de colesterol LDL (LDL-C) < 55 mg/dL para pacientes com doença cardiovascular estabelecida. Embora a fórmula de Friedewald ainda seja amplamente utilizada para estimar o LDL-C, a fórmula mais recente de Martin-Hopkins mostrou maior precisão. OBJETIVOS: Nosso objetivo foi avaliar: A) a proporção de pacientes que atingiram a meta de LDL-C e as terapias utilizadas em um centro terciário; B) o impacto da utilização do método de Martin-Hopkins em vez do método de Friedewald na proporção de pacientes controlados. MÉTODOS: Estudo transversal monocêntrico, incluindo pacientes consecutivos pós-infarto do miocárdio, acompanhados por 20 cardiologistas, em um hospital terciário. Os dados foram coletados retrospectivamente de consultas clínicas realizadas após abril de 2022. Para cada paciente, os níveis de LDL-C e o atingimento das metas foram estimados a partir de um perfil lipídico ambulatorial, utilizando as fórmulas de Friedewald e Martin-Hopkins. Um valor-p bicaudal < 0,05 foi considerado estatisticamente significativo para todos os testes. RESULTADOS: Foram incluídos 400 pacientes (com 67 ± 13 anos, 77% do sexo masculino). Utilizando a fórmula de Friedewald, a mediana de LDL-C sob terapia foi de 64 (50-81) mg/dL, e 31% tinham LDL-C dentro da meta. Estatinas de alta intensidade foram usadas em 64% dos pacientes, 37% estavam em uso de ezetimiba e 0,5% estavam em uso de inibidores de PCSK9. A terapia combinada de estatina de alta intensidade + ezetimiba foi utilizada em 102 pacientes (26%). A aplicação do método de Martin-Hopkins reclassificaria um total de 31 pacientes (7,8%). Entre aqueles considerados controlados pela fórmula de Friedewald, 27 (21,6%) teriam LDL-C estimado por Martin-Hopkins acima da meta. CONCLUSÕES: Menos de um terço dos pacientes pós-infarto do miocárdio apresentaram LDL-C dentro da meta. A aplicação da fórmula de Martin-Hopkins reclassificaria um quinto dos pacientes presumivelmente controlados no grupo de pacientes não controlados.

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BACKGROUND: In 2018, the National Health System released the 'Guide to reducing long hospital stays' to stimulate improvement and decrease length of stay (LOS) in England hospitals. The SAFER patient flow bundle and Red2Green tool were described as strategies to be implemented in inpatient wards to reduce discharge delays. OBJECTIVE: To verify if implementing the SAFER patient flow bundle and Red2Green days tool is associated with LOS reduction in the internal medicine unit (IMU) wards of a university hospital in Brazil. METHODS: In this pre post study, we compared the LOS of patients discharged from the IMU wards in 2019, during the implementation of the SAFER bundle and Red2Green tool, to the LOS of patients discharged in the same period in 2018. The Diagnosis-Related Group Brazil algorithm compared groups according to complexity and resource requirements. In-hospital mortality, readmission rates, the number of hospital acquired conditions and the number and causes of inappropriate hospital days were also evaluated. RESULTS: Two hundred and eight internal medicine patients were discharged in 2018, and 252 were discharged in 2019. The median hospital LOS was significantly lower during the intervention period (14.2 days (IQR, 8-23) vs 19 days (IQR, 12-32); p<0.001). In-hospital mortality, 30-day mortality, readmission in 30 days and the number of hospital acquired conditions were the same between groups. Of the 3350 patient days analysed, 1482 (44.2%) were classified as green and 1868 (55.8%) as red. The lack of senior review was the most frequent cause of a red day (42.4%). CONCLUSION: The SAFER patient flow bundle and Red2Green days tool implementation were associated with a significant decrease in hospital LOS in a university hospital IMU ward. There is a considerable improvement opportunity for hospital LOS reduction by changing the multidisciplinary team's attitude during patient hospitalisation using these strategies.

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Resumo Fundamento: As diretrizes da Sociedade Europeia de Cardiologia recomendam um nível de colesterol LDL (LDL-C) < 55 mg/dL para pacientes com doença cardiovascular estabelecida. Embora a fórmula de Friedewald ainda seja amplamente utilizada para estimar o LDL-C, a fórmula mais recente de Martin-Hopkins mostrou maior precisão. Objetivos: Nosso objetivo foi avaliar: A) a proporção de pacientes que atingiram a meta de LDL-C e as terapias utilizadas em um centro terciário; B) o impacto da utilização do método de Martin-Hopkins em vez do método de Friedewald na proporção de pacientes controlados. Métodos: Estudo transversal monocêntrico, incluindo pacientes consecutivos pós-infarto do miocárdio, acompanhados por 20 cardiologistas, em um hospital terciário. Os dados foram coletados retrospectivamente de consultas clínicas realizadas após abril de 2022. Para cada paciente, os níveis de LDL-C e o atingimento das metas foram estimados a partir de um perfil lipídico ambulatorial, utilizando as fórmulas de Friedewald e Martin-Hopkins. Um valor-p bicaudal < 0,05 foi considerado estatisticamente significativo para todos os testes. Resultados: Foram incluídos 400 pacientes (com 67 ± 13 anos, 77% do sexo masculino). Utilizando a fórmula de Friedewald, a mediana de LDL-C sob terapia foi de 64 (50-81) mg/dL, e 31% tinham LDL-C dentro da meta. Estatinas de alta intensidade foram usadas em 64% dos pacientes, 37% estavam em uso de ezetimiba e 0,5% estavam em uso de inibidores de PCSK9. A terapia combinada de estatina de alta intensidade + ezetimiba foi utilizada em 102 pacientes (26%). A aplicação do método de Martin-Hopkins reclassificaria um total de 31 pacientes (7,8%). Entre aqueles considerados controlados pela fórmula de Friedewald, 27 (21,6%) teriam LDL-C estimado por Martin-Hopkins acima da meta. Conclusões: Menos de um terço dos pacientes pós-infarto do miocárdio apresentaram LDL-C dentro da meta. A aplicação da fórmula de Martin-Hopkins reclassificaria um quinto dos pacientes presumivelmente controlados no grupo de pacientes não controlados.

Abstract Background: The European Society of Cardiology guidelines recommend an LDL-cholesterol (LDL-C) < 55 mg/dL for patients with established cardiovascular disease. While the Friedewald equation to estimate LDL-C is still widely used, the newer Martin-Hopkins equation has shown greater accuracy. Objectives: We aimed to assess: A) the proportion of patients reaching LDL-C goal and the therapies used in a tertiary center; B) the impact of using the Martin-Hopkins method instead of Friedewald's on the proportion of controlled patients. Methods: A single-center cross-sectional study including consecutive post-myocardial infarction patients followed by 20 cardiologists in a tertiary hospital. Data was collected retrospectively from clinical appointments that took place after April 2022. For each patient, the LDL-C levels and attainment of goals were estimated from an ambulatory lipid profile using both Friedewald and Martin-Hopkins equations. A two-tailed p-value of < 0.05 was considered statistically significant for all tests. Results: Overall, 400 patients were included (aged 67 ± 13 years, 77% male). Using Friedewald's equation, the median LDL-C under therapy was 64 (50-81) mg/dL, and 31% had LDL-C within goals. High-intensity statins were used in 64% of patients, 37% were on ezetimibe, and 0.5% were under PCSK9 inhibitors. Combination therapy of high-intensity statin + ezetimibe was used in 102 patients (26%). Applying the Martin-Hopkins method would reclassify a total of 31 patients (7.8%). Among those deemed controlled by Friedewald's equation, 27 (21.6%) would have a Martin-Hopkins' LDL-C above goals. Conclusions: Less than one-third of post-myocardial infarction patients had LDL-C within the goal. Applying the Martin-Hopkins equation would reclassify one-fifth of presumably controlled patients into the non-controlled group.

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Introdução: Em 2018, o Sistema Nacional de Saúde da Inglaterra (NHS) lançou o "Guia para reduzir as longas estadias hospitalares" com o objetivo de estimular ciclos de melhoria e reduzir o tempo de internação (lengh of stay, LOS) de pacientes nos hospitais daquele país. O SAFER flow bundle e a ferramenta Red2Green days foram descritos como estratégias a serem implementadas em unidades de internação para reduzir os atrasos para a alta dos pacientes. Objetivo: Verificar se a implementação do SAFER patient flow bundle e da ferramenta Red2Green days está associada à redução do LOS nas enfermarias da Unidade de Clínica Médica (UCM) de um hospital universitário no Brasil. Métodos: Neste estudo longitudinal de intervenção, comparamos o LOS dos pacientes que receberam alta das enfermarias da UCM em 2019, durante a implementação do SAFER flow bundle e da ferramenta Red2Green days, com o LOS dos pacientes que receberam alta no mesmo período em 2018. O algoritmo de Grupo de Diagnósticos Relacionados (Diagnosis Related Groups, DRG) Brasil comparou grupos de acordo com a complexidade e a necessidade de recursos. Também foram avaliadas a mortalidade intra-hospitalar, as taxas de readmissão, o número de eventos adversos e o número e causas de dias de internação inapropriados. Resultados: 208 pacientes de clínica médica tiveram alta em 2018 e 252 tiveram alta em 2019. A mediana de LOS hospitalar foi significativamente menor durante o período de intervenção [14,2 dias (IQR, 8-23) vs. 19 dias (IQR, 12-32); p <0,001]. A mortalidade intra-hospitalar, a readmissão em 30 dias e o número de eventos adversos foram os mesmos entre os grupos. Dos 3350 pacientes-dia analisados, 1482 (44,2%) foram classificados como verdes e 1868 (55,8%) como vermelhos. A ausência da avaliação presencial do preceptor foi a causa mais frequente de dias vermelhos (42,4%). Conclusões: A implementação do SAFER patient flow bundle e da ferramenta Red2Green days foi associada a uma diminuição significativa do tempo de internação na enfermaria de clínica médica de um hospital universitário sem impacto em desfechos negativos. A redução do tempo de internação hospitalar é possível com a mudança de atitude da equipe multidisciplinar através da utilização dessas estratégias.

Background: In 2018, the National Health System (NHS) released the "Guide to reducing long hospital stays" to stimulate improvement and decrease length of stay (LOS) in England hospitals. The SAFER patient flow bundle and Red2Green tool were described as strategies to be implemented in inpatient wards to reduce discharge delays. Objective: To verify if implementing the SAFER patient flow bundle and Red2Green days tool is associated with LOS reduction in the internal medicine unit (IMU) wards of a university hospital in Brazil. Methods: In this longitudinal interventional trial, we compared the LOS of patients discharged from the IMU wards in 2019, during the implementation of the SAFER bundle and Red2Green tool, to the LOS of patients discharged in the same period in 2018. The Diagnosis Related Groups (DRG) Brasil algorithm compared groups according to complexity and resource requirements. In-hospital mortality, readmission rates, the number of adverse events, and the number and causes of inappropriate hospital days were also evaluated. Results: 208 internal medicine patients were discharged in 2018, and 252 were discharged in 2019. The median hospital LOS was significantly lower during the intervention period [14.2 days (IQR, 8-23) vs. 19 days (IQR, 12-32); p <0.001]. In-hospital mortality, readmission in 30 days, and the number of adverse events were the same between groups. Of the 3350 patient days analyzed, 1482 (44.2%) were classified as green and 1868 (55.8%) as red. The lack of senior review was the most frequent cause of a red day (42.4%). Conclusion: SAFER patient flow bundle and Red2Green days tool implementation were associated with a significant decrease in hospital LOS in a university hospital IMU ward. There is a considerable improvement opportunity for hospital LOS reduction by changing the multidisciplinary team`s attitude during patient hospitalization using these strategies.

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