Association of Pan Immune-Inflammation Value with Long Term Outcomes of Acute Decompensated Heart Failure

医学 急性失代偿性心力衰竭 期限(时间) 心力衰竭 炎症 价值(数学) 心脏病学 联想(心理学) 内科学 免疫系统 重症监护医学 免疫学 哲学 物理 认识论 量子力学 机器学习 计算机科学
作者
Murat Çaylı,Selda Murat,Mehmet Eren Altınbaş,Halit Emre Yalvaç,Fatih Enes Durmaz,Kadir Uğur Mert,Yüksel Çavuşoğlu
出处
期刊:Arquivos Brasileiros De Cardiologia [Sociedade Brasileira de Cardiologia (SBC)]
卷期号:121 (6) 被引量:4
标识
DOI:10.36660/abc.20230817i
摘要

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.
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