RESUMO
Resumo Fundamento Embora tenha havido melhorias significativas no tratamento da insuficiência cardíaca (IC) nas últimas décadas, seu prognóstico permanece desfavorável. Embora existam muitos biomarcadores que podem ajudar a prever o prognóstico de pacientes com IC, há necessidade de biomarcadores mais simples, menos dispendiosos e mais facilmente disponíveis. Objetivo Avaliar o valor preditivo do valor pan-imune-inflamatório (PIV, do inglês pan-immune-inflammation value) em pacientes com IC agudamente descompensada. Métodos Analisamos 409 pacientes com IC com fração de ejeção reduzida internados por IC aguda descompensada. Os pacientes foram divididos em 3 grupos de acordo com os tercis de PIV: tercil 1 (PIV < 357,25), tercil 2 (PIV ≥ 357,25 e < 834,55) e tercil 3 (PIV ≥ 834,55). Foram considerados estatisticamente significativos valores de p < 0,05. Curvas de Kaplan-Meier e modelos de regressão de riscos proporcionais de Cox foram utilizados para avaliar a associação entre PIV e mortalidade por todas as causas. O desfecho primário foi mortalidade por todas as causas em 5 anos, e o desfecho secundário compreendeu a mortalidade por todas as causas intra-hospitalar em 30 dias, em 180 dias e em 1 ano Resultados Mostramos que valores mais elevados de PIV estavam associados a desfechos primários e secundários. A curva de Kaplan-Meier mostrou que pacientes com valores mais elevados de PIV apresentaram risco aumentado de mortalidade por todas as causas em curto e longo prazo (log-rank p < 0,001). Na análise multivariada, o PIV foi identificado como um preditor independente de mortalidade por todas as causas em longo prazo em pacientes com IC aguda descompensada, e observamos um aumento de 1,96 vezes no risco de um evento (razão de chances: 1,96; intervalo de confiança de 95%: 1,330 a 2,908; p = 0,001). Conclusões Nosso estudo mostrou que o novo biomarcador PIV pode ser usado como preditor de prognóstico em pacientes com IC aguda descompensada.
Abstract Background Although there have been significant improvements in the treatment of heart failure (HF) in recent decades, its prognosis remains poor. Although there are many biomarkers that can help predict the prognosis of patients with HF, there is a need for simpler, cheaper, and more easily available biomarkers. Objective To evaluate the predictive value of pan-immune-inflammation value (PIV) in patients with acute decompensated HF. Methods We analyzed 409 patients with HF with reduced ejection fraction who were hospitalized for acute decompensated HF. Patients were divided into 3 groups according to tertiles of PIV: tertile 1 (PIV < 357.25), tertile 2 (PIV ≥ 357.25 and < 834.55), and tertile 3 (PIV ≥ 834.55). P values < 0.05 were considered statistically significant. Kaplan-Meier curves and Cox proportional hazards regression models were used to evaluate the association between PIV and all-cause mortality. The primary outcome was 5-year all-cause mortality, and the secondary outcomes were in-hospital 30 days,, 180-day, and 1-year all-cause mortality. Results We showed that higher PIV value was associated with both primary and secondary outcomes. The Kaplan-Meier curve showed that patients with higher PIV values had an increased risk of short- and long-term all-cause mortality (log-rank p < 0.001). In the multivariate analysis, PIV was identified as an independent predictor of long-term all-cause mortality in patients with acute decompensated HF, and we observed a 1.96-fold increase in the hazard of an event (odds ratio: 1.96, 95% confidence interval: 1.330 to 2.908, p = 0.001). Conclusions Our study showed that the novel biomarker PIV can be used as a predictor of prognosis in patients with acute decompensated HF.
RESUMO
SUMMARY OBJECTIVE: Removal of cardiac autoantibodies by immunoadsorption might confer clinical improvement in dilated cardiomyopathy. In this pilot study, we investigated the efficacy and safety of immunoadsorption therapy in refractory heart failure patients with dilated cardiomyopathy. METHODS: This study consisted of 9 heart failure patients with dilated cardiomyopathy, NYHA III-IV, left ventricular ejection fraction <30%, unresponsive to heart failure therapy, and with cardiac autoantibodies. Patients underwent immunoadsorption therapy for five consecutive days using a tryptophan column. Changes in cardiac function (left ventricular ejection fraction, left ventricular end-diastolic diameter, left ventricular end-systolic diameter), exercise capacity (6-minute walk distance), neurohormonal (N-terminal pro-brain natriuretic peptide), proinflammatory (high-sensitive C-reactive protein), and myocardial (cardiac troponin-I), biochemical, and hematological variables were obtained at baseline and after 3 and 6 months of immunoadsorption therapy. RESULTS: Mean left ventricular ejection fraction and 6-minute walk distance significantly increased at 3 months (from 23.27±5.09 to 32.1±1.7%, p=0.01 for left ventricular ejection fraction and from 353±118 to 434±159 m, p=0.04 for 6-minute walk distance) and further increased at 6 months after immunoadsorption therapy (to 34.5±7.7%, p=0.02 for ejection fraction and to 441±136 m, p=0.04 for 6-minute walk distance). NT-proBNP level reduced from 1161(392.8-3034) to 385(116.1-656.5) ng/L (p=0.04), and high-sensitive C-reactive protein decreased from 9.74±0.96 to 4.3±5.8 mg/L (p=0.04) at 6 months. Left ventricular end-diastolic diameter (66.1±5.8 vs. 64.7±8.9 mm) and left ventricular end-systolic diameter (56.1±8.6 vs. 52.3±10.8 mm) tended to decrease but did not reach statistical significance. No significant worsening was observed in creatinine, cardiac troponin-I, and hemoglobin levels after the immunoadsorption procedure. CONCLUSION: In dilated cardiomyopathy patients with refractory heart failure, immunoadsorption may be considered a potentially useful therapeutic option to improve a patient's clinical status.
RESUMO
SUMMARY OBJECTIVE: With the coronavirus disease 2019 (COVID-19) continuing to spread all over the world, although there is no specific treatment until now, hydroxychloroquine and azithromycin have been reported to be effective in recent studies. Although long-term use of hydroxychloroquine and azithromycin has been reported to cause QT prolongation and malign arrhythmia, there is not enough data about the effect of short-term use on arrhythmia. Therefore, this study aims to assess the effect of hydroxychloroquine alone and hydroxychloroquine + azithromycin on corrected QT (QTc). METHODS: A baseline electrocardiogram and on-treatment baseline electrocardiogram were retrospectively collected in COVID-19 patients who received hydroxychloroquine and/or azithromycin. The QTc interval was calculated, and the baseline and peak QTc intervals were compared. In addition, the peak QTc intervals of monotherapy and combination therapy were compared. RESULTS: Of the 155 patients included, 102 (65.8%) patients were using hydroxychloroquine, and 53 (34.2%) patients were using hydroxychloroquine + azithromycin combination. The use of both hydroxychloroquine alone and hydroxychloroquine + azithromycin combined therapy significantly prolonged the QTc, and the QTc interval was significantly longer in patients receiving combination therapy. QTc prolongation caused early termination in both groups, 5 (4.9%) patients in the monotherapy group and 6 (11.3%) patients in the combination therapy group. CONCLUSION: In this study, patients who received hydroxychloroquine for the treatment of COVID-19 were at high risk of QTc prolongation, and concurrent treatment with azithromycin was associated with greater changes in QTc.