NLR MLR和PLR对小儿IgM阳性支原体肺炎的诊断效能
Diagnostic Efficacy of NLR,MLR and PLR in Children with IgM Positive Mycoplasma Pneumonia
仇成梅1
作者信息
- 1. 124013 辽宁 盘锦,盘锦市中心医院检验科
- 折叠
摘要
目的 探讨中性粒细胞/淋巴细胞比率(neutrophil lympho cyte ratio,NLR)、单核细胞/淋巴细胞比率(monocyte lymphocyte ratio,MLR)和血小板/淋巴细胞比率(plateleblet lymphocyte ratio,PLR)对IgM阳性支原体肺炎的诊断效能.方法 收集2022年1月—2023年12月盘锦市中心医院收治的小儿支原体肺炎病例80例作为研究组;另选同期健康体检小儿80例作为对照组.比较两组小儿各项血液成分水平;计算NLR、MLR和PLR并分析组间差异;通过受试者操作特征曲线(receiver operating characteristic,ROC)计算曲线下面积(area under the curve,AUC),评价其对支原体感染的诊断效能.结果 两组小儿白细胞、中性粒细胞、单核细胞、淋巴细胞差异有统计学意义(P＜0.05).两组小儿NLR、MLR和PLR差异有统计学意义(P＜0.05).ROC曲线分析显示,NLR、MLR和PLR的AUC分别为0.847、0.764和0.861.结论 相比于传统的指标,NLR、MLR和PLR在诊断近期感染的支原体肺炎方面,具有较高的诊断效能,可作为早期鉴别致病源的有效方法.
Abstract
Objective To explore the diagnostic efficacy of neutrophil/lymphocyte ratio(NLR),monocyte/lymphocyte ratio(MLR),and platelet/lymphocyte ratio(PLR)in IgM positive mycoplasma pneumonia.Methods A total of 80 cases of pediatric mycoplasma pneumonia admitted to Panjin Central Hospital from January 2022 to December 2023 were collected as the study group.A total of 80 children who underwent health examinations during the same period were selected as the control group.The levels of various blood components were compared between two groups.NLR,MLR,and PLR were compared between two groups,and the area under the receiver operating characteristic curve(AUC)was calculated to evaluate their diagnostic efficacy for mycoplasma infection.Results There were significant differences in white blood cells,neutrophils,monocytes,and lymphocytes between the two groups(P<0.05).NLR,MLR,and PLR were significantly different between the two groups(P<0.05).The AUC of NLR,MLR,and PLR were 0.847,0.764,and 0.861.Conclusion Compared to traditional indicators,NLR,MLR,and PLR have higher diagnostic efficacy in recently infected mycoplasma pneumonia,which could be an effective method for early identification of pathogens.
关键词
支原体肺炎/小儿/中性粒细胞/单核细胞/淋巴细胞/血小板Key words
Mycoplasma Pneumonia/Children/Neutrophils/Monocytes/Lymphocytes/Platelet引用本文复制引用
出版年
2024
NETL
NSTL
万方数据