西安地区肺炎儿童外周血SII、NLR、PLR、LMR以及NMR参考区间的建立及价值

Establishment of reference intervals for SII, NLR, PLR, LMR and NMR in peripheral blood of pneumonia children in Xi'an area and their diagnostic values

  • 摘要:
    目的 建立西安地区肺炎儿童外周血系统性免疫炎症指数(SII)、中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、淋巴细胞与单核细胞比值(LMR)以及中性粒细胞与单核细胞比值(NMR)的参考区间, 并探讨其诊断价值。
    方法 选取2023年1月—2024年10月在西安市儿童医院儿保科体检健康的10 330例儿童作为对照组, 450例确诊为儿童肺炎的住院患儿作为病例组。统计SII、NLR、PLR、LMR和NMR数据以建立健康儿童参考区间; 比较不同肺炎组及健康对照组间SII、NLR、PLR、LMR和NMR水平差异; 采用多因素Logistic回归分析病毒性肺炎的预测指标; 应用受试者工作特性(ROC)曲线评估SII、NLR、PLR、LMR和NMR水平对儿童肺炎的诊断价值。
    结果 450例肺炎儿童中,病毒性肺炎组患儿年龄低于支原体肺炎组和细菌性肺炎组,差异有统计学意义(P < 0.05)。SII、NLR、PLR、LMR和NMR水平在同一年龄段不同性别患儿中的差异无统计学意义(P>0.05)。与对照组比较,支原体肺炎组和细菌性肺炎组SII、NLR、PLR、NMR水平升高, LMR水平降低,差异有统计学意义(P < 0.05); 病毒性肺炎组PLR水平高于对照组, LMR和NMR水平低于对照组,差异有统计学意义(P < 0.05); 支原体肺炎组和细菌性肺炎组SII、NLR、PLR、NMR水平高于病毒性肺炎组, LMR水平低于病毒性肺炎组,差异有统计学意义(P < 0.05)。多因素Logistic回归分析显示,在儿童肺炎中, LMR可作为诊断病毒性肺炎与非病毒肺炎的鉴别因素之一,而SII、NMR为肺炎患儿发生病毒感染的保护因素。ROC曲线显示, SII、NLR、PLR、NMR以及SII+NLR、SII×NLR联合指标诊断儿童非病毒性肺炎的最佳截断值依次为283.968、1.181、120.739、4.742、284.920、220.209, AUC依次为0.862、0.853、0.804、0.823、0.862、0.862。
    结论 建立儿童外周血SII、NLR、PLR、LMR和NMR的参考区间对于儿童感染性疾病的诊疗和临床决策具有一定的参考价值。

     

    Abstract:
    Objective To establish reference intervals for the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and neutrophil-to-monocyte ratio (NMR) in the peripheral blood of children with pneumonia in Xi'an area and explore their diagnostic values.
    Methods A total of 10 330 healthy children with physical examinations in the Department of Child Health Care of Xi'an Children's Hospital from January 2023 to October 2024 were selected as control group, and 450 hospitalized children diagnosed as pediatric pneumonia were selected as case group. Data of SII, NLR, PLR, LMR, and NMR were statistically analyzed to establish reference intervals for healthy children. Differences in SII, NLR, PLR, LMR, and NMR levels among different pneumonia groups and the healthy control group were compared. Multivariate Logistic regression analysis was used to identify predictive indicators for viral pneumonia. The diagnostic value of SII, NLR, PLR, LMR, and NMR levels in pediatric pneumonia was assessed by the receiver operating characteristic (ROC) curve.
    Results Among the 450 children with pneumonia, children in the viral pneumonia group were significantly younger than those in the Mycoplasma pneumonia group and the bacterial pneumonia group (P < 0.05). No significant differences were observed in SII, NLR, PLR, LMR, and NMR levels between children of different genders within the same age group (P>0.05). Compared with the control group, the Mycoplasma pneumonia group and the bacterial pneumonia group exhibited significantly elevated SII, NLR, PLR, and NMR levels and decreased LMR levels (P < 0.05). The viral pneumonia group showed significantly higher PLR levels and lower LMR and NMR levels compared with the control group (P < 0.05). The Mycoplasma pneumonia group and the bacterial pneumonia group had significantly higher SII, NLR, PLR, and NMR levels and lower LMR levels than the viral pneumonia group (P < 0.05). Multivariate Logistic regression analysis revealed that among children with pneumonia, LMR served as one of the differentiating factors for diagnosing viral pneumonia from non-viral pneumonia, while SII and NMR were protective factors against viral infection in children with pneumonia. The ROC curve demonstrated that the optimal cut-off values for diagnosing pediatric non-viral pneumonia by SII, NLR, PLR, NMR and the combined indicators of SII+NLR and SII×NLR were 283.968, 1.181, 120.739, 4.742, 284.920 and 220.209, respectively, with corresponding area under the curve (AUC) values of 0.862, 0.853, 0.804, 0.823, 0.862 and 0.862, respectively.
    Conclusion Establishing reference intervals for SII, NLR, PLR, LMR, and NMR in the peripheral blood of children holds certain reference values for the diagnosis, treatment, and clinical decision-making of pediatric infectious diseases.

     

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