小儿细菌性脑膜炎病原学特征及脑脊液生化指标诊断模型构建

Pathogenic characteristics of bacterial meningitis in children and establishment of diagnostic model based on biochemical indexes in cerebrospinal fluid

  • 摘要:
    目的 分析小儿细菌性脑膜炎(BM)病原学特征及脑脊液生化指标变化,并基于脑脊液生化指标建立病原菌鉴别诊断模型。
    方法 选取2021年5月—2023年5月郑州大学附属儿童医院收治的80例BM患儿为BM组,分析其病原菌情况及脑脊液细胞学、生化指标水平。另选取同期接受脑脊液细胞学、生化指标检测的40例非中枢神经系统感染疾病儿童作为对照组,分析其相关指标与BM患儿病原菌类型的关系,并构建鉴别诊断模型。
    结果 80例BM患儿共检出85株病原菌,包括革兰氏阴性菌48株(56.47%),革兰氏阳性菌37株(43.53%)。BM组白细胞计数和淋巴细胞比例高于对照组,中性粒细胞比例和单核细胞比例低于对照组,脑脊液中糖和氯化物水平低于对照组,蛋白质水平高于对照组,差异均有统计学意义(P < 0.05)。BM患儿中,革兰氏阴性菌感染者白细胞计数和淋巴细胞比例高于革兰氏阳性菌感染者,脑脊液中糖和氯化物水平低于革兰氏阳性菌感染者,差异均有统计学意义(P < 0.05)。多因素Logistic分析显示,脑脊液中白细胞计数、淋巴细胞比例、糖及氯化物水平均与BM患儿病原菌类型显著相关(P < 0.05)。基于多因素分析结果建立鉴别诊断模型,受试者工作特征曲线分析显示,该模型对革兰氏阳性菌感染与革兰氏阴性菌感染的鉴别诊断的曲线下面积为0.925, 对应截断值为0.754, 灵敏度和特异度分别为76.25%和98.33%。
    结论 小儿BM主要致病菌为鲍曼不动杆菌、大肠埃希菌、肺炎克雷伯菌和凝固酶阴性葡萄球菌、金黄色葡萄球菌、肺炎链球菌,患儿脑脊液白细胞计数和淋巴细胞比例升高,并伴有糖和氯化物水平降低,这对革兰氏阳性菌感染与革兰氏阴性菌感染的鉴别及抗生素治疗有一定指导作用。

     

    Abstract:
    Objective To analyze the etiological characteristics of pediatric bacterial meningitis (BM) and change of biochemical indicators in cerebrospinal fluid, and establish a diagnostic model for pathogen differentiation based on biochemical indicators in cerebrospinal fluid.
    Methods Eighty children with BM in the Children′s Hospital Affiliated to Zhengzhou University from May 2021 to May 2023 were selected as BM group, and their pathogen distribution as well as cytological and biochemical indicators in cerebrospinal fluid were analyzed. Forty non-central nervous system infections children with cytological and biochemical testing in cerebrospinal fluid in the same period were included as control group. The relationships between indicators in cerebrospinal fluid and pathogen types in BM children were analyzed, and a diagnostic model was constructed.
    Results A total of 85 pathogens were detected in 80 BM children, including 48 Gram-negative bacteria (56.47%) and 37 Gram-positive bacteria (43.53%). The BM group showed significantly higher white blood cell count and lymphocyte percentages, lower neutrophil and monocyte percentages, lower glucose and chloride levels in cerebrospinal fluid, and higher protein levels in cerebrospinal fluid when compared to the control group (P < 0.05). Among BM children, those infected with Gram-negative bacteria had significantly higher white blood cell count and lymphocyte percentages, as well as lower glucose and chloride levels in cerebrospinal fluid when compared to those with Gram-positive bacterial infections (P < 0.05). Multivariate Logistic analysis revealed that white blood cell count, lymphocyte percentage, glucose, and chloride levels in cerebrospinal fluid were significantly associated with pathogen types (P < 0.05). A diagnostic model based on these factors demonstrated an area under the receiver operating characteristic (ROC) curve of 0.925 for distinguishing Gram-positive and Gram-negative infections, with a cutoff value of 0.754, asensitivity of 76.25%, and aspecificity of 98.33%.
    Conclusion The primary pathogens of pediatric BM include Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, coagulase-negative Staphylococcus, Staphylococcus aureus, and Streptococcus pneumonia, accompanied by elevated white blood cell count and lymphocyte percentages as well as reduced glucose and chloride levels in cerebrospinal fluid, which is helpful in differentiating Gram-positive from Gram-negative infections and guiding antibiotic therapy.

     

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