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中华诊断学电子杂志 ›› 2022, Vol. 10 ›› Issue (01) : 15 -20. doi: 10.3877/cma.j.issn.2095-655X.2022.01.004

神经系统疾病诊治

新生儿化脓性脑膜炎近期预后不良原因分析
豆仁成1, 江萍1, 程书欢2, 娄燕2,()   
  1. 1. 215010 南京医科大学附属明基医院苏州院区儿科
    2. 050051 石家庄,河北省人民医院儿科
  • 收稿日期:2021-03-08 出版日期:2022-02-26
  • 通信作者: 娄燕

Causes analysis of short-term poor prognosis of neonatal purulent meningitis

Rencheng Dou1, Ping Jiang1, Shuhuan Cheng2, Yan Lou2,()   

  1. 1. Department of Pediatrics, BenQ Medical Center Affiliated to Nanjing Medical University Suzhou Branch, Suzhou 215010, China
    2. Department of Pediatrics, Hebei People′s Hospital, Shijiazhuang 050051, China
  • Received:2021-03-08 Published:2022-02-26
  • Corresponding author: Yan Lou
引用本文:

豆仁成, 江萍, 程书欢, 娄燕. 新生儿化脓性脑膜炎近期预后不良原因分析[J]. 中华诊断学电子杂志, 2022, 10(01): 15-20.

Rencheng Dou, Ping Jiang, Shuhuan Cheng, Yan Lou. Causes analysis of short-term poor prognosis of neonatal purulent meningitis[J]. Chinese Journal of Diagnostics(Electronic Edition), 2022, 10(01): 15-20.

目的

探讨新生儿化脓性脑膜炎近期预后不良的危险因素。

方法

回顾性分析2015年9月至2021年1月于河北省人民医院新生儿科诊治的76例新生儿化脓性脑膜炎患儿的相关临床资料,根据其6~12个月内转归分为预后良好组(n=46)和预后不良组(n=30),比较两组新生儿的一般情况、出生史、临床特点、实验室检测结果及病原菌类别等情况,采用多因素Logistic回归分析近期预后不良的因素,并通过绘制ROC曲线评估各个指标对于预后预测的效能。

结果

预后不良组患儿男婴占比(23/30,76.67%)、低出生胎龄比例(13/30,43.33%)、低出生体重(8/30,26.67%)、合并意识障碍比例(13/30,43.33%)、电解质异常比例(9/30,30.00%)较预后良好组高[52.17%(24/46)、2.17%(1/46)、2.17%(1/46)、21.74%(10/46)、2.17%(1/46)],两组比较均差异有统计学意义(χ2=4.62,4.01,9.99;均P<0.05)。预后不良组患儿脑脊液(CSF)白细胞计数[435(165,875)×106/L]、CSF蛋白水平[1.54(0.90,2.38)g/L]均高于预后良好组[78(32,305)×106/L,0.70(0.57,1.02)g/L)],CSF葡萄糖/血糖比值[0.37(0.27,0.53)]低于预后良好组[0.54(0.46,0.68)],两组比较均差异有统计学意义(Z=-3.78,-4.72,-3.26;均P<0.01)。Logistic回归分析显示,CSF白细胞计数、CSF蛋白水平、CSF葡萄糖/血糖比值是提示预后不良的危险因素(OR=1.002,2.840,0.056;均P<0.05)。ROC曲线显示,CSF白细胞计数、CSF蛋白水平、CSF葡萄糖/血糖比值及三者联合模型曲线下面积(AUC)分别为0.800,0.822,0.769,0.879。

结论

CSF白细胞计数高、CSF葡萄糖/血糖比值低、CSF蛋白水平高是提示新生儿化脓性脑膜炎近期预后不良的独立危险因素。

Objective

To investigate the risk factors of short-term poor prognosis of neonatal purulent meningitis.

Methods

The clinical data of 76 cases of neonatal purulent meningitis treated in the Neonatology Department of Hebei Provincial People′s Hospital from September 2015 to January 2021 were retrospectively analyzed. According to their outcomes of 6-12 months, they were divided into the good prognosis group (n=46) and the poor prognosis group (n=30). The newborn′s general situation, birth history, clinical features, laboratory examination results and pathogenic species were compared between the two groups. Multivariable logistic regression was used to analyze the factors associated with poor outcome, and the ROC curve to assess the effectiveness of each index in predicting prognosis.

Results

In the poor prognosis group, the proportion of male (23/30, 76.67%), the proportion of low gestational age (13/30, 43.33%), the proportion of low birth weight (8/30, 26.67%), the proportion of complicated with consciousness disorder (13/30, 43.33%), and the proportion of electrolyte abnormalities (9/30, 30.00%) were higher than those in the good prognosis group [52.17%(24/46), 2.17%(1/46), 2.17%(1/46), 21.74%(10/46), 2.17%(1/46)], the differences between the two groups were statistically significant (χ2=4.62, 4.01, 9.99, all P<0.05). The CSF white blood cell count [435(165, 875)×106/L] and CSF protein level [1.54(0.90, 2.38)g/L] in the poor prognosis group were higher than those in the good prognosis group [78(32, 305)×106/L, 0.70(0.57, 1.02)g/L)], and the CSF glucose/blood glucose ratio [0.37(0.27, 0.53)] was lower than that in the good prognosis group [0.54(0.46, 0.68)]. The differences between the two groups were statistically significant (Z=-3.78, -4.72, -3.26, all P<0.01). Logistic regression analysis showed that CSF white blood cell count, CSF protein level and CSF glucose/blood glucose ratio were risk factors for poor prognosis (OR=1.002, 2.840, 0.056; all P<0.05). The ROC curve showed that area under the curve (AUC) of CSF white blood cell count, CSF protein level, CSF glucose/blood glucose ratio, and the combined model were 0.800, 0.822, 0.769, and 0.879, respectively.

Conclusion

High CSF white blood cell count, low CSF glucose/blood glucose ratio and high CSF protein level are independent risk factors for short-term poor prognosis of neonatal purulent meningitis.

表1 两组新生儿化脓性脑膜炎患儿一般情况比较
表2 两组新生儿化脓性脑膜炎患儿出生史比较(例,%)
表3 两组新生儿化脓性脑膜炎患儿入院前临床特征比较(例,%)
表4 两组NPM患儿实验室检查结果比较
表5 两组NPM患儿病原菌类型比较(例,%)
表6 新生儿化脓性脑膜炎预后不良的多因素Logistic回归分析
图1 不同指标预测NPM患儿预后的ROC曲线注:CSF为脑脊液;NPM为新生儿化脓性脑膜炎;ROC为受试者工作特征
表7 不同指标对新生儿化脓性脑膜炎患儿预后的预测价值比较
[1]
Kepa L, Oczko-Grzesik B, Stolarz W, et al. Cerebrospinal fluid ferritin concentration in patients with purulent,bacterial meningitis-own observations[J].Przegl Epidemiol201670(4): 593-603.DOI: 10.1136/archdischild-2019-317960.
[2]
van Ettekoven CN, van de Beek D, Brouwer MC. Update on community-acquired bacterial meningitis: guidance and challenges[J].Clin Microbiol Infect201723(9): 601-606.DOI: 10.1016/j.cmi.2017.04.019.
[3]
邵肖梅.实用新生儿学[M].4版.北京:人民卫生出版社,2011:347-351.
[4]
McMillan T, Wilson L, Ponsford J,et al.The Glasgow outcome scale-40 years of application and refinement[J].Nat Rev Neurol201612(8): 477-485.DOI: 10.1038/nrneurol.2016.89.
[5]
He Z, Li X, Jiang L. Clinical analysis on 430 cases of infantile purulent meningitis[J].Springerplus20165(1): 1994.DOI: 10.1186/s40064-016-3673-4.
[6]
刘梦迪,徐发林,段稳丽,等.新生儿细菌性脑膜炎预后不良的危险因素分析[J].中国当代儿科杂志201921(11): 1064-1068.DOI: 10.7499/j.issn.1008-8830.2019.11.002.
[7]
Irene M, Manilla-Muñoz E, Len-CachnR BR,et al.SeXY chromosomes and the immune system: reflections after a comparative study[J].Biol Sex Differ202011(1): 3.DOI: 10.1186/s13293-019-0278-y.
[8]
Xu M, Hu L, Huang HY,et al.Etiology and clinical features of full-term neonatal bacterial meningitis: a multicenter retrospective cohort study[J].Front Pediatr2019(7): 31.DOI: 10.3389/fped.2019.00031.
[9]
鞠慧群,贝斐,孙建华.B族链球菌感染所致新生儿化脓性脑膜炎临床特点分析[J].中国新生儿科杂志201631(3): 178-181.DOI: 10.3969/j.issn.1673-6710.2016.03.004.
[10]
赵小林,郭金珍,李占魁.足月儿与早产儿细菌性脑膜炎的临床分析[J].中国当代儿科杂志201921(10): 1044-1048.DOI: 10.7499/j.issn.1008-8830.2019.10.017.
[11]
Lin MC, Chi H, Chiu NC, et al. Factors for poor prognosis of neonatal bacterial meningitis in a medical center in Northern Taiwan[J].J Microbiol Immunol Infect201245(6): 442-447.DOI: 10.1016/j.jmii.2011.12.034.
[12]
Roine I, Peltola H, Fernandez J, et al. Influence of admission findings on death and neurological outcome from childhood bacterial meningitis[J].Clin Infect Dis200846(8): 1248-1252.DOI: 10.1086/533448.
[13]
Teixeira DC, Diniz LMO, Guimaraes NS,et al.Risk factors associated with the outcomes of pediatric bacterial meningitis: a systematic review[J].J Pediatr (Rio J)202096(2): 159-167.DOI: 10.1016/j.jped.2019.07.003.
[14]
van Ettekoven CN, Brouwer MC, Bijlsma MW,et al.The FOUR score as predictor of outcome in adults with bacterial meningitis[J].Neurology201992(22): e2522-e2526.DOI: 10.1212/WNL.0000000000007601.
[15]
Applefeld WN, Wang J, Solomon SB,et al.RBC storage lesion studies in humans and experimental models of shock[J].Applied Sciences202010(5): 1-3.DOI: 10.7150/thno.49199.
[16]
Zheng F, Ye X, Shi X,et al.Hyponatremia in children with bacterial meningitis[J].Front Neurol2019(10): 421.DOI: 10.3389/fneur.2019.00421.
[17]
华雪莹,赵智,余加林.新生儿化脓性脑膜炎预后影响因素附151例病例分析[J].儿科药学杂志201723(6): 9-11.DOI: 10.13407/j.cnki.jpp.1672-108X.2017.06.004.
[18]
Brouwer MC, Thwaites GE, Tunkel AR,et al.Dilemmas in the diagnosis of acute community-acquired bacterial meningitis[J].Lancet2012380(9854): 1684-1692.DOI: 10.1016/S0140-6736(12)61185-4.
[19]
张惠琴,张静静,陶小娟,等.儿童细菌性脑膜炎的临床特征及预后不良危险因素分析[J].中华实用儿科临床杂志201631(24): 1859-1862.DOI: 10.3760/cma.j.issn.2095-428X.2016.24.005.
[20]
Domingues RB, Fernandes GBP, Leite F,et al.Performance of lactate in discriminating bacterial meningitis from enteroviral meningitis[J].Rev Inst Med Trop Sao Paulo2019(61): e24.DOI: 10.1590/S1678-9946201961024.
[21]
Huo L, Fan Y, Jiang C,et al.Clinical features of and risk factors for hydrocephalus in childhood bacterial meningitis[J].J Child Neurol201934(1): 11-16.DOI: 10.1177/0883073818799155.
[22]
阎贝贝,李晓莺.新生儿难治性化脓性脑膜炎的临床分析[J].中国医药指南201816(1): 14-15,18.DOI: 10.3969/j.issn.1000-744X.2020.09.063.
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