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Abstract：
Pan-Immune-Inflammation Value (PIV) has recently received more attention as a novel indicator of inflammation. We aimed to evaluate the association between PIV and prognosis in septic patients. Data were extracted from the Medical Information Mart for Intensive Care IV database. The primary and secondary outcomes were 28-day and 90-day mortality. The association between PIV and outcomes was assessed by Kaplan-Meier curves, Cox regression analysis, restricted cubic spline curves and subgroup analysis. A total of 11,331 septic patients were included. Kaplan-Meier curves showed that septic patients with higher PIV had lower 28-day survival rate. In multivariable Cox regression analysis, log2-PIV was positively associated with the risk of 28-day mortality [HR (95% CI) 1.06 (1.03, 1.09), P < 0.001]. The relationship between log2-PIV and 28-day mortality was non-linear with a predicted inflection point at 8. To the right of the inflection point, high log2-PIV was associated with an increased 28-day mortality risk [HR (95% CI) 1.13 (1.09, 1.18), P < 0.001]. However, to the left of this point, this association was non-significant [HR (95% CI) 1.01 (0.94, 1.08), P = 0.791]. Similar results were found for 90-day mortality. Our study showed a non-linear relationship between PIV and 28-day and 90-day mortality risk in septic patients.
摘要：
泛免疫炎症值（PIV）作为一种新型的炎症指标最近受到了更多的关注。我们旨在评估PIV与脓毒症患者预后之间的关系。数据是从重症监护医学信息集市IV数据库中提取的。主要和次要结局是28天和90天死亡率。通过Kaplan-Meier曲线评估PIV与结果之间的关联，Cox回归分析，限制三次样条曲线和子群分析。共纳入11,331例脓毒症患者。Kaplan-Meier曲线显示PIV较高的脓毒症患者28天生存率较低。在多变量Cox回归分析中，log2-PIV与28天死亡风险呈正相关[HR(95%CI)1.06(1.03,1.09),P<0.001]。log2-PIV与28天死亡率之间的关系是非线性的，预测拐点为8。在拐点的右边，高log2-PIV与28天死亡风险增加相关[HR（95%CI）1.13（1.09，1.18），P<0.001]。然而,在这一点的左边，此关联无显著意义[HR（95%CI）1.01（0.94，1.08），P=0.791]。对于90天死亡率也发现了类似的结果。我们的研究表明PIV与脓毒症患者28天和90天死亡风险之间存在非线性关系。
