脉搏灌注变异指数及Logistic器官功能障碍评分系统对脓毒症预后的预测价值

Predictive value of pleth variability index and logistic organ dysfunction scoring system for prognosis of patients with sepsis

  • 摘要: 目的 探讨脉搏灌注变异指数(PVI)与Logistic器官功能障碍(LODS)评分系统对脓毒症患者预后的预测价值。。方法 选取2022年7月-2025年7月咸阳市中心医院收治的脓毒症患者120例,全部经相应治疗后,根据28 d转归情况将患者分为死亡组和存活组。比较两组临床资料,采用多因素logistic回归模型分析患者死亡相关因素。受试者工作特征(ROC)曲线评估PVI与LODS评分死亡的预测价值。。结果 死亡组患者脓毒症休克占比、乳酸(Lac)水平、PVI值及LODS评分均高于存活组,差异有统计学意义(P<0.05)。多因素logistic回归模型结果显示,并发脓毒症休克、Lac水平升高、PVI值及LODS评分较高是与脓毒症患者28 d死亡相关的因素(P<0.05)。ROC曲线分析结果显示,PVI值、LODS评分单独预测脓毒症患者死亡的曲线下面积(AUC)分别为0.780、0.860,二者联合预测的AUC为0.912,较单项预测效能提高(Z=3.050,P=0.002;Z=2.512,P=0.010)。。结论 脓毒症并发休克、Lac水平升高、PVI值与LODS评分均偏高与患者28 d死亡有关,其中PVI值与LODS评分对预测患者死亡具有较好的临床价值。

     

    Abstract: OBJECTIVE To explore the predictive value of pleth variability index (PVI) and logistic organ dysfunction (LODS) scoring system for the prognosis of patients with sepsis. METHODSA total of 120 patients with sepsis admitted to Xianyang Central Hospital from Jul. 2022 to Jul. 2025 were selected. After corresponding treatment, patients were divided into the death group and the survival group based on their 28-day outcomes. Clinical data of the two groups were compared, and factors related to patient death were analyzed with a multivariate logistic regression model. The predictive value of PVI and LODS scores for death was assessed based on receiver operating characteristic (ROC) curves. RESULTSThe proportion of septic shock, lactate (Lac) levels, PVI values and LODS scores in the death group were all higher than those in the survival group, with statistically significant differences (P<0.05). The results of the multivariate logistic regression model showed that concurrent septic shock, elevated Lac levels, high PVI values and high LODS scores were factors related to 28-day death in patients with sepsis (P<0.05). ROC curve analysis revealed that the area under the curve (AUC) for predicting death in patients with sepsis based on PVI values and LODS scores were 0.780 and 0.860, respectively. The combined prediction yielded an AUC of 0.912, showing improved predictive efficacy compared to single predictors (Z=3.050, P=0.002. Z=2.512, P=0.010). CONCLUSIONSeptic shock, elevated Lac levels, high PVI values and high LODS scores are associated with 28-day death in patients with sepsis. Among them, PVI values and LODS scores have good clinical value in predicting patient death.

     

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