切换至 "中华医学电子期刊资源库"

中华实验和临床感染病杂志(电子版) ›› 2022, Vol. 16 ›› Issue (04) : 268 -274. doi: 10.3877/cma.j.issn.1674-1358.2022.04.008

论著

外周血可溶性Fas蛋白及其配体、髓过氧化物酶水平对重症肺炎患儿预后不良的预测价值
沈杨1, 余海波2,(), 曾强英3   
  1. 1. 621000 绵阳市,绵阳万江眼科医院儿科
    2. 621000 绵阳市,四川绵阳四〇四医院急诊科
    3. 621000 绵阳市,四川中医药高等专科学校绵阳富临医院儿科
  • 收稿日期:2021-10-29 出版日期:2022-08-15
  • 通信作者: 余海波
  • 基金资助:
    2018年四川省卫生和计划生育委员会科研课题(No. 18PJ037)

Predictive value of peripheral blood levels of soluble Fas protein, soluble Fas protein ligand and myeloperoxidase on poor prognosis in children with severe pneumonia

Yang Shen1, Haibo Yu2,(), Qiangying Zeng3   

  1. 1. Department of Pediatrics, Mianyang Wanjiang Eye Hospital, Mianyang 621000, China
    2. Emergency Department, Sichuan Mianyang 404 Hospital, Mianyang 621000, China
    3. Department of Pediatrics, Mianyang Fulin Hospital, Sichuan College of Traditional Chinese Medicine, Mianyang 621000, China
  • Received:2021-10-29 Published:2022-08-15
  • Corresponding author: Haibo Yu
引用本文:

沈杨, 余海波, 曾强英. 外周血可溶性Fas蛋白及其配体、髓过氧化物酶水平对重症肺炎患儿预后不良的预测价值[J]. 中华实验和临床感染病杂志(电子版), 2022, 16(04): 268-274.

Yang Shen, Haibo Yu, Qiangying Zeng. Predictive value of peripheral blood levels of soluble Fas protein, soluble Fas protein ligand and myeloperoxidase on poor prognosis in children with severe pneumonia[J]. Chinese Journal of Experimental and Clinical Infectious Diseases(Electronic Edition), 2022, 16(04): 268-274.

目的

观察重症肺炎患儿外周血可溶性Fas蛋白(sFas)、可溶性Fas蛋白配体(sFasL)和髓过氧化物酶(MPO)水平变化,并探讨三者对重症肺炎预后不良的预测价值。

方法

选取四川中医药高等专科学校绵阳富临医院2016年2月至2020年5月收治的182例重症肺炎、196例轻症肺炎患儿和178例健康儿童,分别为重症组、轻症组和对照组;重症组患儿再根据预后分为预后不良组(29例)和预后良好组(153例)。采用单因素方差分析比较重症组、轻症组治疗前和对照组外周血sFas、sFasL和MPO水平;采用单因素和多因素Logistic回归分析重症组患儿预后不良的影响因素,采用受试者工作特征(ROC)曲线评价外周血sFas、sFasL和MPO水平以及联合指标预测重症组患儿预后不良的价值。

结果

三组研究对象的性别、年龄和体重,重症组与轻症组患儿病原微生物分布、肺炎分期差异均无统计学意义(P均> 0.05)。重症组患儿治疗前外周血sFas、sFasL和MPO水平分别为(104.63 ± 19.75)ng/L、(1 062.36 ± 179.85)ng/L和(1 020.26 ± 59.71)U/L,轻症组患儿分别为(80.52 ± 13.66)ng/L、(703.57 ± 127.66)ng/L和(796.75 ± 43.02)U/L,对照组儿童分别为(58.78 ± 10.16)ng/L、(577.83 ± 121.22)ng/L和(632.59 ± 38.71)U/L;重症组和轻症组患儿以上3个指标水平均高于对照组(sFas:重症组 vs.对照组:t = 27.605、P < 0.001;轻症组vs.对照组:t = 17.322、P < 0.001;sFasL:重症组 vs.对照组:t = 29.908、P < 0.001,轻症组vs.对照组:t = 9.744、P < 0.001;MPO:重症组 vs.对照组:t = 71.920、P < 0.001;轻症组vs.对照组:t = 38.647、P < 0.001),重症组患儿以上3个指标水平均显著高于轻症组(t = 13.885、22.488、41.973,P均< 0.001)。重症组患儿预后不良发生率为15.93%(29/182)。预后不良组患儿双重/多重感染占比(χ2 = 12.081、P = 0.001)、多肺叶感染占比(χ2 = 32.378、P < 0.001)和外周血白细胞计数(WBC)(t = 6.432、P < 0.001)、中性粒细胞百分比(N%)(t = 3.658、P = 0.001)、C-反应蛋白(CRP)(t = 19.415、P < 0.001)、降钙素原(PCT)(t = 26.101、P < 0.001)、sFas(t = 13.717、P < 0.001)、sFasL(t = 5.357、P < 0.001)和MPO(t = 5.435,P < 0.001)水平均显著高于预后良好组患儿;多因素Logistic回归分析显示以上指标均为重症组患儿预后不良的危险因素,差异均有统计学意义(OR = 5.969、95%CI:4.857~6.304、P = 0.029,OR = 7.485、95%CI:6.785~8.126、P = 0.014,OR = 5.332、95%CI:4.593~5.567、P = 0.010,OR = 4.959、95%CI:4.246~5.337、P = 0.015,OR = 5.143、95%CI:4.879~5.695、P = 0.003,OR = 6.126、95%CI:5.630~6.558、P = 0.008,OR = 8.325、95%CI:6.452~9.902、P = 0.005,OR = 8.469、95%CI:7.879~8.653、P = 0.001,OR = 9.132、95%CI:8.882~9.594,P = 0.003)。外周血sFas、sFasL和MPO水平预测重症组预后不良的Cut-off值分别为125.07 ng/L、1 171.21 ng/L和1 053.04 U/L;sFas、sFasL和MPO以及3个指标联合预测的曲线下面积(AUC)分别为0.875、0.890、0.897和0.955,3个指标联合预测AUC均显著高于sFas、sFasL、MPO水平单独预测,差异均有统计学意义(Z = 5.693、P = 0.005,Z = 5.192、P = 0.007,Z = 4.982、P = 0.009)。

结论

重症肺炎患儿外周血sFas、sFasL和MPO水平均偏高,且在预后不良重症患儿中水平均更高,其联合应用可预测患儿不良预后。

Objective

To investigate the changes of soluble Fas protein (sFas), soluble Fas protein ligand (sFasL) and myeloperoxidase (MPO) in peripheral blood of children with severe pneumonia, and to explore the predictive value on poor prognosis.

Methods

Total of 182 cases of severe pneumonia, 196 cases of mild pneumonia and 178 healthy children in Mianyang Fulin hospital, Sichuan College of traditional Chinese Medicine were enrolled as severe group, mild group and control group, respectively; Children in severe group were then divided into poor prognosis group (29 cases) and good prognosis group (153 cases). The levels of sFas, sFasL and MPO in peripheral blood were compared among cases of severe group and mild group before treatment with those of control group by one way ANOVA. The risk factors for poor prognosis in severe group were determined by univariate and multivariate Logistic regression analysis, and the value of peripheral blood sFasL, sFasL, MPO levels and the combination of the three indexes on predicting poor prognosis in severe group were explored by receiver operating characteristic curve (ROC).

Results

There was no significant difference in gender, age and weight among cases in the three groups; distribution of pathogenic microorganisms and stages of pneumonia between cases in severe group and mild group were also without significant difference (all P > 0.05). The levels of sFas, sFasL and MPO in peripheral blood of cases in severe group were (104.63 ± 19.75) ng/L, (1 062.36 ± 179.85) ng/L, (1 020.26 ± 59.71) U/L, which were (80.52 ± 13.66) ng/L, (703.57 ± 127.66) ng/L and (796.75 ± 43.02) U/L in cases of mild group, while (58.78 ± 10.16) ng/L, (577.83 ± 121.22) ng/L and (632.59 ± 38.71) U/L in cases of control group, respectively; and the levels of the above indexes of cases in severe group and mild group before treatment were significantly higher than those of the control group (sFas: severe group vs. control group: t = 27.605, P < 0.001; mild group vs. control group: t = 17.322, P < 0.001. sFasL: severe group vs. control group: t = 29.908、P < 0.001; mild group vs. control group: t = 9.744, P < 0.001. MPO: severe group vs. control group: t = 71.920, P < 0.001; mild group vs. control group: t = 38.647, P < 0.001), which were significantly higher in severe group than those of the mild group (t = 13.885, 22.488, 41.973, all P < 0.001). The incidence of poor prognosis in severe group was 15.93% (29/182). The proportions of double/multiple infection (χ2 = 12.081, P = 0.001), multiple lobe infection (χ2 = 32.378, P < 0.001) and white blood cell (WBC) (t = 6.432, P < 0.001), percentage of neutrophils (N%) (t = 3.658, P = 0.001), C-reactive protein (CRP) (t = 19.415, P < 0.001), procalcitonin (PCT) (t = 26.101, P < 0.001), sFas (t = 13.717, P < 0.001), sFasL (t = 5.357, P < 0.001) and MPO (t = 5.435, P < 0.001) levels in peripheral blood of cases with poor prognosis were significantly higher than those with good prognosis; which were all independent risk factors of poor prognosis in severe group by multivariate Logistic regression analysis (OR = 5.969, 95%CI: 4.857-6.304, P = 0.029; OR = 7.485, 95%CI: 6.785-8.126, P = 0.014; OR = 5.332, 95%CI: 4.593-5.567, P = 0.010; OR = 4.959, 95%CI: 4.246-5.337, P = 0.015; OR = 5.143, 95%CI: 4.879-5.695, P = 0.003; OR = 6.126, 95%CI: 5.630-6.558, P = 0.008; OR = 8.325, 95%CI: 6.452-9.902, P = 0.005; OR = 8.469, 95%CI: 7.879-8.653, P = 0.001; OR = 9.132, 95%CI: 8.882-9.594, P = 0.003). The Cut-off values of peripheral blood sFas, sFasL and MPO levels predicting poor prognosis in severe group were 125.07 ng/L, 171.21 ng/L and 1 053.04 U/L, respectively. The area under ROC curve (AUC) predicted by peripheral blood sFas, sFasL and MPO and the three indicators combination were 0.875, 0.890, 0.897 and 0.955, respectively, and the AUC of combination prediction was significantly higher than that of sFas, sFasL and MPO alone (Z = 5.693, P = 0.005; Z = 5.192, Z = 0.007; Z = 4.982, P = 0.009).

Conclusions

The levels of sFas, sFasL and MPO in peripheral blood of children with severe pneumonia are high, especially higher in children with severe pneumonia with poor prognosis, which can be used to predict poor prognosis.

表1 三组患儿一般资料
表2 重症组、轻症组患儿治疗前和对照组儿童外周血sFas、sFasL和MPO水平(± s
表3 重症组预后不良与预后良好患儿的影响因素
表4 重症组患儿预后不良的危险因素Logistic多元回归分析
图1 外周血sFas、sFasL、MPO水平以及联合指标预测重症患儿预后不良的ROC曲线
表5 外周血sFas、sFasL、MPO水平以及联合指标对重症患儿预后不良的预测价值
[1]
Lee H, Yun KW, Lee HJ, et al. Antimicrobial therapy of macrolide-resistant Mycoplasma pneumoniae pneumonia in children[J]. Expert Rev Anti Infect Ther,2018,16(1):23-34.
[2]
Dean P, Florin TA. Factors associated with pneumonia severity in children: a systematic review[J]. J Pediatric Infect Dis Soc,2018,7(4):323-334.
[3]
Chen X, Yu X, Wang Y, et al. Soluble Fas/FasLare elevated in the serum and cerebrospinal fluid of patients with neurocysticercosis[J]. Parasitol Res,2017,116(11):3027-3036.
[4]
卢新翠,马丽,孙兴珍. 支气管哮喘患儿外周血IL-12, IL-25, MPO, PMN, sFas, sFasL水平变化及其与病情的关系[J]. 山东医药,2019,59(2):64-66.
[5]
Liphaus BL, Sallum AEM, Aikawa NE, et al. Increased soluble cytoplasmic Bcl-2 protein serum levels and expression and decreased fas expression in lymphocytes and monocytes in juvenile dermatomyositis[J]. J Rheumatol,2018,45(11):1577-1580.
[6]
Sexton TR, Zhang G, Macaulay TE, et al. Ticagrelor reduces thromboinflammatory markers in patients with pneumonia[J]. JACC Basic Transl Sci,2018,3(4):435-449.
[7]
Gokhale Y, Rathod R, Trivedi T, et al. Pulmonary renal syndrome: experience from tertiary centre in mumbai[J]. J Assoc Physicians India,2018,66(7):13-17.
[8]
中华医学会儿科学分会呼吸学组,《中华儿科杂志》编辑委员会. 儿童社区获得性肺炎管理指南(2013修订)(上)[J]. 中华儿科杂志,2013,51(10):745-752.
[9]
胡亚美,汪载芳,申昆玲, 等. 诸福棠实用儿科学[M]. 8版. 北京: 人民卫生出版社,2015:174-176.
[10]
陈洋,崔湘君,李敏, 等. 肺炎支原体肺炎患儿血清淀粉样蛋白A和人软骨糖蛋白-39水平监测及其预测价值[J/CD]. 中华实验和临床感染病杂志(电子版),2021,15(5):323-329.
[11]
张艳兰,徐琳,王彩英,等. 淋巴细胞亚群在儿童重症甲型流感诊断中的价值[J/CD]. 中华实验和临床感染病杂志(电子版),2021,15(6):368-373.
[12]
Wang X, Zhong LJ, Chen ZM, et al. Necrotizing pneumonia caused by refractory Mycoplasma pneumoniae pneumonia in children[J]. World J Pediatr,2018,14(4):344-349.
[13]
Jakhar SK, Pandey M, Shah D, et al. Etiology and risk factors determining poor outcome of severe pneumonia in under-five children[J]. Indian J Pediatr,2018,85(1):20-24.
[14]
deBenedictis FM, Kerem E, Chang AB, et al. Complicated pneumonia in children[J]. Lancet,2020,396(10253):786-798.
[15]
李丽嫱,王竹颖,徐娟玉, 等. 支原体肺炎患儿血清IgM, IgG, IgA, T细胞亚群及炎症因子水平观察[J]. 传染病信息,2019,32(3):239-241.
[16]
Barbagelata E, Cillóniz C, Dominedò C, et al. Gender differences in community-acquired pneumonia[J]. Minerva Med,2020,111(2):153-165.
[17]
Cotelli MS, Cotelli M, Manelli F, et al. Effortful speech with distortion of prosody following SARS-CoV-2 infection[J]. Neurol Sci,2020,41(12):3767-3768.
[18]
肖燕,刘磊,沈凯奇, 等. 牙龈卟啉单胞菌对肺部上皮细胞增殖及凋亡的影响[J]. 广东医学,2020,41(11):1145-1149.
[19]
Liang SP, Chen Q, Cheng YB, et al. Comparative effects of monosialoganglioside versus citicoline on apoptotic factor, neurological function and oxidative stress in newborns with hypoxic-ischemic encephalopathy[J]. J Coll Physicians Surg Pak,2019,29(4):324-327.
[20]
Brassard D, Arsenault BJ, Boyer M, et al. Saturated fats from butter but not from cheese increase hdl-mediated cholesterol efflux capacity from j774 macrophages in men and women with abdominal obesity[J]. J Nutr,2018,148(4):573-580.
[21]
Yuan XH, Li YM, Shen YY, et al. Clinical and Th1/Th2 immune response features of hospitalized children with human rhinovirus infection[J]. J Med Virol,2020,92(1):26-33.
[22]
Wu H, Ding X, Zhao D, et al. Effect of montelukast combined with methylprednisolone for the treatment of mycoplasma pneumonia[J]. J Int Med Res,2019,47(6):2555-2561.
[23]
吴爱萍,朱斌. 哮喘患儿血清sFas, sFasL, Eotaxin的变化及其意义[J]. 临床肺科杂志,2019,24(7):1214-1217.
[24]
Claushuis TAM, de Stoppelaar SF, de Vos AF, et al. Nbeal2 deficiency increases organ damage but does not affect host defense during Gram-negative pneumonia-derived sepsis[J]. Arterioscler Thromb Vasc Biol,2018,38(8):1772-1784.
[25]
García-Nava M, Mateos-Toledo H, Guevara-Canseco APG, et al. Early interstitial lung disease in microscopic polyangiitis: case report and literature review. enfermedadpulmonarintersticialtemprana en poliangitismicroscópica: reporte de un caso y revisión de la literatura[J]. Reumatol Clin,2018,14(2):106-108.
[26]
刘西妮,王丹,温晓梅. 小儿重症肺炎病原学分布及预后危险因素分析[J]. 中国临床医生杂志,2020,48(6):743-746.
[1] 张蒙, 徐林林, 王燕, 李玉峰, 王洁琼. 基于屈布勒-罗斯理论的心理管理对重症肺炎合并呼吸衰竭患者的干预作用[J]. 中华危重症医学杂志(电子版), 2023, 16(01): 43-47.
[2] 高娟, 薄祥树, 颜玲玲, 张冬梅, 钱晓芹. 重症超声联合氧合指数对重症肺炎患者预后评估价值的探讨[J]. 中华危重症医学杂志(电子版), 2022, 15(05): 383-388.
[3] 贺雨, 王玉娟, 高蓉, 李晗, 胡长英, 杨俊玲. 新型生物标志物可溶性髓样细胞触发受体-1在重症肺炎早期诊断中的应用价值[J]. 中华实验和临床感染病杂志(电子版), 2022, 16(05): 307-312.
[4] 盛名, 王敬文, 郭爽, 万文蕾. 重症肺炎NT-proBNP动态演变与患者预后风险的相关性分析[J]. 中华肺部疾病杂志(电子版), 2023, 16(03): 379-381.
[5] 赵明丽, 廖敏, 王玉忠. 重症肺炎患者乳酸脱氢酶、载脂蛋白A1、铁蛋白水平与病情的关系及预后意义[J]. 中华肺部疾病杂志(电子版), 2023, 16(02): 233-235.
[6] 胡中英, 仇海兵, 孙艳. 莫西沙星联合亚胺培南西司他丁对重症肺炎的疗效及对炎症指标的影响[J]. 中华肺部疾病杂志(电子版), 2023, 16(02): 209-211.
[7] 周旻忞, 张恒喜, 冯华, 施林燕. 超声膈肌功能评估对重症肺炎伴呼吸衰竭患者机械通气撤机的指导意义[J]. 中华肺部疾病杂志(电子版), 2023, 16(01): 98-100.
[8] 杨荣, 李院玲. 美罗培南联合参麦注射液治疗重症肺炎疗效及对心肌的保护作用[J]. 中华肺部疾病杂志(电子版), 2022, 15(06): 866-869.
[9] 崔鑫, 牛俊, 孙鑫, 李文, 徐心坦. 重症肺炎支原体肺炎患儿血清sTREM-1和SP-D的变化及意义[J]. 中华肺部疾病杂志(电子版), 2022, 15(06): 863-865.
[10] 陈双, 李莲, 彭余, 杨再林. T淋巴细胞及细胞因子在预测肺炎重症转化中的临床意义[J]. 中华肺部疾病杂志(电子版), 2022, 15(05): 750-753.
[11] 钟育武, 赵展庆, 李堪董. 重症肺炎并发呼吸衰竭PCT、hs-CRP、CER表达及与心肌损害的关系[J]. 中华肺部疾病杂志(电子版), 2022, 15(05): 727-729.
[12] 陈晨, 鲁厚清. 血乳酸水平联合NLR对ICU重症肺炎预后风险预测[J]. 中华肺部疾病杂志(电子版), 2022, 15(04): 551-553.
[13] 王雷, 华山, 陆振. 布地奈德与头孢哌酮舒巴坦钠对小儿重症肺炎的疗效分析[J]. 中华肺部疾病杂志(电子版), 2022, 15(04): 536-538.
[14] 孔菲, 王研, 吴昱华. 比阿培南联合莫西沙星对重症肺炎患者疗效、炎性因子及血清CD40L、VACM-1的影响[J]. 中华肺部疾病杂志(电子版), 2022, 15(04): 533-535.
[15] 邱学荣, 张秀琴, 张欢, 刘婷, 高翠琴. 动态监测SAA给予抗生素在电子支气管镜联合普米克令舒治疗重症肺炎中的价值研究[J]. 中华临床医师杂志(电子版), 2023, 17(03): 308-313.
阅读次数
全文


摘要