Association of Pan Immune-Inflammation Value with Long Term Outcomes of Acute Decompensated Heart Failure. / Associação do Valor Pan-Imune-Inflamatório com Desfechos de Longo Prazo na Insuficiência Cardíaca Agudamente Descompensada.

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.

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.

Different Cardio-Selective ß-Blockers and the Prevention of Exaggerated Blood Pressure Response During Exercise: A Retrospective Cross-Sectional Study.

OBJECTIVE: The aim of this study was to analyze the role of various ß-blockers in managing exercise-induced blood pressure escalations, referred to as exaggerated blood pressure response (eBPR). Despite the importance of this phenomenon, there is limited data on the efficacy of ß-blockers in controlling eBPR. METHOD: Our retrospective cohort for this study comprised 2,803 individuals who underwent treadmill tests from January 2016 to February 2018. A further subgroup analysis of 1,258 patients receiving ß-blocker treatment was performed to evaluate the influence of different ß-blockers on eBPR. RESULTS: The results demonstrated that ß-blockers play a significant role in mitigating the occurrence of eBPR (P = 0.026), irrespective of the specific type of ß-blocker. Additionally, no significant variance was observed in the development of eBPR among the different ß-blocker groups (P = 0.532 for systolic blood pressure (BP); P = 0.068 for diastolic BP). This finding remained consistent even among the 992 hypertensive patients, where no notable association was found between the type of ß-blocker and the development of eBPR (P = 0.736 for systolic BP; P = 0.349 for diastolic BP). It is noteworthy that patients using ß-blockers had unique clinical and demographic attributes. CONCLUSION: Our study suggests that ß-blockers can potentially deter the development of eBPR during physical activity, a benefit that is consistent across all types of ß-blockers. The study sheds light on prospective randomized studies on the use of eBPR as a new treatment target.

Pre-Procedural Right Atrial Diameter May Predict the Development of Typical Atrial Flutter in Patients Undergoing Catheter Ablation for Atrial Fibrillation.

BACKGROUND: Some patients undergoing catheter ablation for atrial fibrillation may develop typical atrial flutter on follow-up, and a second procedure for typical atrial flutter is often required in such patients. In this study, we aimed to define the variables associated with the development of typical atrial flutter after ablation. METHODS: One hundred fifty-nine patients who underwent catheter ablation for the first time due to atrial fibrillation and who did not have a previously documented atrial flutter were included in the study. Before ablation, baseline clinical features and echocardiographic parameters were recorded. At the 1st, 3rd, 6th, and 12th months after the procedure, and then annually, the patients were followed up for typical atrial flutter development. RESULTS: At a mean follow-up of 34.0 (14.0-50.0) months, typical atrial flutter developed in 21 (13.2%) patients. During the follow-up, right atrial diameter was greater in those who developed typical atrial flutter than those who did not [39.0 (38.0-43.0) vs. 36.0 (34.0-39.0) mm, P <.001]. A multiple Cox regression analysis showed that the right atrial diameter was the only independent predictor of typical atrial flutter development (hazard ratio = 1.12, 95% CI: 1.02-1.23, P =.021). A receiver operating characteristic analysis showed that the best cutoff for the right atrial diameter was 38.5 mm to predict typical atrial flutter development (area under the curve = 0.77, 95% CI: 0.67-0.86, sensitivity = 62%, specificity = 75%, P <.001). CONCLUSION: In patients undergoing catheter ablation for atrial fibrillation, a pre-procedural right atrial diameter measurement may predict typical atrial flutter development at follow-up. In particular, patients with a pre-procedural right atrial diameter ≥39 mm may be at a higher risk for developing typical atrial flutter in the future.

Associação do Valor Pan-Imune-Inflamatório com Desfechos de Longo Prazo na Insuficiência Cardíaca Agudamente Descompensada / Association of Pan Immune-Inflammation Value with Long Term Outcomes of Acute Decompensated Heart Failure

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.

Application of multivariate chemometric techniques for simultaneous determination of five parameters of cottonseed oil by single bounce attenuated total reflectance Fourier transform infrared spectroscopy.

Single bounce attenuated total reflectance (SB-ATR) Fourier transform infrared (FTIR) spectroscopy in conjunction with chemometrics was used for accurate determination of free fatty acid (FFA), peroxide value (PV), iodine value (IV), conjugated diene (CD) and conjugated triene (CT) of cottonseed oil (CSO) during potato chips frying. Partial least square (PLS), stepwise multiple linear regression (SMLR), principal component regression (PCR) and simple Beer׳s law (SBL) were applied to develop the calibrations for simultaneous evaluation of five stated parameters of cottonseed oil (CSO) during frying of French frozen potato chips at 170°C. Good regression coefficients (R(2)) were achieved for FFA, PV, IV, CD and CT with value of >0.992 by PLS, SMLR, PCR, and SBL. Root mean square error of prediction (RMSEP) was found to be less than 1.95% for all determinations. Result of the study indicated that SB-ATR FTIR in combination with multivariate chemometrics could be used for accurate and simultaneous determination of different parameters during the frying process without using any toxic organic solvent.