入院早期全身炎症综合指数及外周血细胞比值对特重度烧伤患者预后的预测价值

Predictive value of early admission aggregate index of systemic inflammation and peripheral blood cell ratio for clinical prognosis of patients with extremely severe burns

  • 摘要:
    目的 探讨全身炎症综合指数(AISI)、淋巴细胞与血小板比值(LPR)、中性粒细胞与淋巴细胞比值(NLR)及外周血免疫细胞计数对特重度烧伤患者预后的预测价值。
    方法 回顾性分析2017年3月至2024年3月山东省立医院烧伤整形外科收治的101例特重度烧伤患者。根据患者病情的转归分为死亡组(n = 28)和生存组(n = 73),记录2组患者的年龄、性别、烧伤总面积、Ⅲ度烧伤面积、烧伤指数、合并吸入性损伤情况、机械通气情况,以及入院后第1、3及7天的淋巴细胞、单核细胞、中性粒细胞及血小板计数,并计算AISI、LPR、NLR,比较组间差异。采用Cox比例风险回归模型分析上述指标与患者预后的相关性。绘制特重度烧伤患者死亡危险因素的受试者操作特征(ROC)曲线,计算曲线下面积(AUC)以及最佳截断值及其对应的灵敏度、特异度。根据最佳截断值将患者分组,采用Kaplan-Meier法绘制生存曲线,评估各项指标对特重度烧伤患者入院90 d内存活率的预测价值。
    结果 死亡组特重度烧伤患者的烧伤总面积、Ⅲ度烧伤面积、烧伤指数、合并吸入性损伤情况、机械通气情况均比生存组严重(均P < 0.05)。死亡组患者在入院第1天及第7天淋巴细胞计数、入院第1天及第7天单核细胞计数、入院第1天中性粒细胞计数、入院第1天AISI、入院第3天及第7天LPR和入院第3天NLR均高于生存组患者(均P < 0.05);Cox风险比例回归模型显示,入院第1天及第7天单核细胞计数、入院第1天中性粒细胞计数、入院第1天AISI、入院第3天及第7天LPR和入院第7天淋巴细胞计数是影响特重度烧伤患者病死率的危险因素(均P < 0.05)。经校正烧伤指数、是否合并吸入性损伤、有无机械通气后,入院第1天AISI、单核细胞计数、中性粒细胞计数及入院第3天NLR是影响患者入院后90 d病死率的独立危险因素(均P < 0.05)。入院第1天AISI、单核细胞计数、中性粒细胞计数及入院第3天NLR预测特重度烧伤患者死亡结局的ROC曲线下面积依次为0.691(95%CI 0.570 ~ 0.881)、0.718(95%CI 0.604 ~ 0.832)、0.721(95%CI 0.609 ~ 0.832)、0.641(95%CI 0.524 ~ 0.758)。Kaplan-Meier生存分析显示,入院第1天AISI、单核细胞计数、中性粒细胞计数及入院第3天NLR高的患者预后较差(均P < 0.05)。
    结论 入院第1天AISI、单核细胞计数、中性粒细胞计数及入院第3天NLR高是特重度烧伤患者预后的危险因素,可考虑作为特重度烧伤患者预后的评估指标。

     

    Abstract:
    Objective To investigate the predictive value of aggregate index of systemic inflammation (AISI), lymphocyte-to-platelet ratio (LPR), neutrophil-to-lymphocyte ratio (NLR) and immune cell counts for clinical prognosis of patients with extremely severe burns.
    Methods Clinical data of 101 patients with extremely severe burns admitted to Shandong Provincial Hospital Affiliated to Shandong First Medical University from March 2017 to March 2024 were retrospectively analyzed. According to clinical prognosis, all patients were divided into the survival group (n = 73) and death group (n = 28). The age, gender, total burn area, full-thickness burn area, burn index, inhalation injury, use of mechanical ventilation and lymphocyte count, monocyte count, neutrophil count, platelet count on days 1, 3 and 7 after hospital admission were collected, and AISI, LPR and NLR were calculated. The data were statistically analyzed to assess the predictive value of these indexes for clinical prognosis of patients with extremely severe burns. Cox proportional hazards regression model was used to analyze the correlation between these indexes and clinical prognosis. The receiver operating characteristic (ROC) curve of the independent risk factors for death in patients with extremely severe burns, and the area under the ROC curve (AUC) was calculate. The optimal cut-off value and its corresponding sensitivity and specificity were also obtained. According to the optimal cut-off value, all patients were divided into two groups. Kaplan-Meier method was used to delineate the survival curve. The predictive value of each index for the 90-d survival rate of patients with extremely severe burns was evaluated.
    Results The total burn area, full-thickness burn area, burn index, inhalation injury and use of mechanical ventilation in the death group were more severe than those in the survival group (all P < 0.05). In the death group, lymphocyte count on days 1 and 7, monocyte count on days 1 and 7, neutrophil count on day 1, AISI on days 1 and 7, LPR on day 3 and 7, NLR on day 3 were significantly higher compared with those in the survival group (all P < 0.05). Cox proportional hazards regression model showed that monocyte count on days 1 and 7, neutrophil count on day 1, AISI on day 1, LPR on day 3 and 7, lymphocyte count on day 7 were the risk factors for death of patients with extremely severe burns (all P < 0.05). After adjustment of burn index, inhalation injury and use of mechanical ventilation, AISI, monocyte count, neutrophil count on day 1 and NLR on day 3 were found to be the independent risk factors for 90-day mortality in patients with extremely severe burns (all P < 0.05). The AUC of AISI, AMC, ANC on day 1 and NLR on day 3 for predicting the outcome of death of patients with extremely severe burns were 0.691 (95%CI: 0.570-0.831), 0.718 (95%CI: 0.604-0.832), 0.721 (95%CI: 0.609-0.832), 0.641 (95%CI: 0.524-0.758). Kaplan-Meier survival analysis showed poor prognosis in patients with higher AISI, monocyte count, neutrophil count on day 1 and NLR on day 3 (all P < 0.05).
    Conclusion AISI, monocyte count, neutrophil count on day 1 and NLR on day 3 are the independent risk factors of clinical prognosis, which can be used as reliable indexes to assess clinical prognosis of patients with extremely severe burns.

     

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