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    苏国德, 彭效芹, 毕颖, 屈昌雪, 张振坤. 中性粒细胞与淋巴细胞比值在儿童难治性肺炎支原体肺炎中的诊断及预测价值[J]. 徐州医科大学学报, 2022, 42(9): 672-676. DOI: 10.3969/j.issn.2096-3882.2022.09.010
    引用本文: 苏国德, 彭效芹, 毕颖, 屈昌雪, 张振坤. 中性粒细胞与淋巴细胞比值在儿童难治性肺炎支原体肺炎中的诊断及预测价值[J]. 徐州医科大学学报, 2022, 42(9): 672-676. DOI: 10.3969/j.issn.2096-3882.2022.09.010
    Diagnostic and predictive value of NLR in refractory Mycoplasma pneumoniae pneumonia in children[J]. Journal of Xuzhou Medical University, 2022, 42(9): 672-676. DOI: 10.3969/j.issn.2096-3882.2022.09.010
    Citation: Diagnostic and predictive value of NLR in refractory Mycoplasma pneumoniae pneumonia in children[J]. Journal of Xuzhou Medical University, 2022, 42(9): 672-676. DOI: 10.3969/j.issn.2096-3882.2022.09.010

    中性粒细胞与淋巴细胞比值在儿童难治性肺炎支原体肺炎中的诊断及预测价值

    Diagnostic and predictive value of NLR in refractory Mycoplasma pneumoniae pneumonia in children

    • 摘要: 目的 探讨中性粒细胞与淋巴细胞比值(NLR)作为标志物在儿童难治性肺炎支原体肺炎(RMPP)诊断及预测的作用。方法 回顾性选取了2021年1月至2021年12月在徐州市儿童医院呼吸二科住院142例肺炎支原体肺炎(MPP)患者作为研究对象,分为普通MPP组(101例),RMPP组(41例),通过查看电子病历,比较两组临床资料、白细胞(WBC)、中性粒细胞(NUE)、血小板(PLT)、NLR、C反应蛋白(CRP)及降钙素原(PCT)指标,应用受试者工作特性曲线(ROC曲线)确定了有统计学意义的3种生物标志物的截断值,执行Logistic回归分析以识别RMPP的独立预测因子。结果 两组病人均有咳嗽症状,两组性别无统计学差异(均P>0. 01),RPMM组年龄、发热症状、NEU、NLR、CRP与普通MPP组相比有统计学差异(均P<0. 01);NLR在诊断RMPP患者ROC曲线下的面积(AUC)为0.854,特异性和敏感性分别是79.2%、87.8%;通过二元Logistic回归分析确定,NRL、NUE和CRP为RMPP的独立危险因素(均P<0. 01), 相对危险程NLR>CRP>NUE。结论 NRL可作为RMPP的诊断及预测指标。

       

      Abstract: ob<x>jective To investigate the role of neutrophil to lymphocyte ratio (NLR) as a marker in the diagnosis and prediction of refractory Mycoplasma pneumoniae pneumonia (RMPP) in children. Methods 142 patients with mycoplasma pneumoniae pneumonia (MPP) who were hospitalized in the second Department of Respiration, Xuzhou Children’s Hospital from January 2021 to December 2021 were retrospectively selected as the research subjects and were divided into ordinary MPP group (101 cases) and RMPP group (41 cases). Clinical data, white blood cell (WBC), neutrophil (NUE), platelet (PLT), NLR, C-reactive protein (CRP) and procalcitonin (PCT) were compared between the two groups. The receiver operating characteristic curve (ROC) was used to determine the cut-off values of three biomarkers with statistical significance. Logistic regression analysis was performed to identify independent predictors of RMPP. Results There were no statistically significant differences in age, fever, NEU, NLR and CRP between the RPMM group and the MPP group (all P<0. 01). The area under the ROC (AUC) of NLR in diagnosing RMPP patients was 0.854, and the specificity and sensitivity were 79.2% and 87.8%, respectively. According to binary Logistic regression analysis, NRL, NUE and CRP were independent risk factors for RMPP (all P<0. 01), and the relative risk range was NLR>CRP>NUE. Conclusion NRL can be used as a diagnostic and predictive index of RMPP

       

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