高迁移率族蛋白B1与呼吸衰竭伴肺部感染患者感染程度的关系及预后预测价值

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Abstract Objective To investigate the relationship between high mobility group protein B1 (HMGB1) and the degree of infection in patients with respiratory failure (RF) and pulmonary infection (PI) and its prognostic value. Methods A total of 142 patients with RF with PI admitted to the 983rd Hospital of PLA Joint Logistics Support Force from March 2020 to March 2023 were selected. Clinical pulmonary infection score (CPIS) was used to evaluate the infection degree of the patients. The patients were divided into mild infection group (n=79) and severe infection group (n=63), and HMGB1 levels were detected. Pearson correlation coefficient was used to analyze the relationship between HMGB1 and infection degree in RF patients with lung infection. Patients were divided into poor prognosis group and good prognosis group according to their survival condition, and HMGB1 levels of the patients with different prognosis were analyzed. Clinical data of the patients were collected, and multivariate logistic regression model was used to analyze the factors affecting the prognosis of RF patients with PI. The predictive value of HMGB1 in RF patients with PI was analyzed by receiver operating characteristic (ROC) curve. Results Among the 142 patients, 63 cases were severely infected, 79 cases were mildly infected, and the severe infection rate was 44.37%. HMGB1 level and CPIS score in severe infection group were higher than those in mild infection group (P<0.05). The results of Pearson analysis showed that HMGB1 was positively correlated with CPIS score (r=0.586, P<0.05). The mechanical ventilation time, hospital stay and FBG levels in the poor prognosis group were higher than those in the good prognosis group (P<0.05). Logistic regression analysis showed that long mechanical ventilation time and high levels of FBG and HbAlc were risk factors for poor prognosis in RF patients with PI (P<0.05, OR>1). ROC analysis results showed that the sensitivity and specificity of HMGB1 in predicting poor prognosis of RF patients with pulmonary infection were 90.38% and 81.11% respectively, and the area under the curve (AUC) value (95%CI) was 0.804 (0.729-0.866). Conclusions HMGB1 is closely related to the degree of infection in RF patients with lung infection. The high level of HMGB1 is a risk factor for the poor prognosis of RF patients with lung infection, and it is of good value in predicting the poor prognosis of RF patients with lung infection.

Key words： respiratory failure lung infection degree of infection forecast

Received: 08 February 2024

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	ZHANG Xia
	MA Hongwei
	LI Li
	QIU Jingwei

Cite this article:

ZHANG Xia,MA Hongwei,LI Li等. Relationship between high mobility group protein B1 and infection degree in patients with respiratory failure and pulmonary infection and its prognostic value[J]. Med. J. Chin. Peop. Armed Poli. Forc., 2024, 35(8): 676-680.

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https://journal08.magtechjournal.com/Jwk_wjyx/EN/ OR https://journal08.magtechjournal.com/Jwk_wjyx/EN/Y2024/V35/I8/676

[1]	Xiong J,Zeng S,Xu H,et al.Aggravated respiratory failure from COVID-19 infection: patient care management from nurses in the intensive care unit[J]. Altern Ther Health Med, 2021,27(S1):228-232.
[2]	Murgia X,Kany A M,Herr C,et al.Micro-rheological properties of lung homogenates correlate with infection severity in a mouse model of Pseudomonas aeruginosa lung infection[J]. Sci Rep, 2020,10(1):16502.
[3]	Chalmers S J,Aksamit T R.New therapies for nontuberculous mycobacterial lung infection[J].Curr Opin Infect Dis, 2022,35(2):176-184.
[4]	Wang H,Wang L,Luo Z, et al. Performance of rapid on-site evaluation of touch imprints of lung tissue biopsies for the diagnosis of pulmonary cryptococcosis in patients without HIV infection[J].Mycoses, 2022,65(6):635-642.
[5]	Samanta S,Patnaik R, Azim A, et al. Incorporating lung ultrasound in clinical pulmonary infection score as an added tool for diagnosing ventilator-associated pneumonia: aprospective observational study from a tertiary care center[J]. Indian J Crit Care Med, 2021,25(3):284-291.
[6]	王一律,王真,钟文,等.PCT和hs-CRP联合临床肺部感染评分对老年重症肺炎患者预后评估的价值[J]. 河北医学,2023,29(2):289-293.
[7]	Andersson U,Ottestad W,Tracey K J.Extracellular HMGB1: a therapeutic target in severe pulmonary inflammation including COVID-19[J].Mol Med, 2020,26(1):42.
[8]	李永杰,闫其星,周源,等.sTREM-1、HMGB1和内毒素对胸腔镜肺癌根治术后肺部感染的预测价值[J]. 临床和实验医学杂志,2023,22(10):1065-1069.
[9]	冯契靓,张诚实,崔栋慧,等.外周血中性粒细胞与血小板计数比值对呼吸衰竭患者预后的评估价值[J].中国老年学杂志,2023,43(16):3915-3917.
[10]	中华医学会,中华医学会杂志社,中华医学会全科医学分会,等.成人社区获得性肺炎基层诊疗指南(2018年)[J].中华全科医师杂志,2019,18(2):117-126.
[11]	张慧.基于CPIS评分护理干预预防脑卒中肺部感染的研究[J].现代中西医结合杂志,2023,32(10):1427-1430.
[12]	Ouyang X,Becker E Jr,Bone N B, et al.ZKSCAN3 in severe bacterial lung infection and sepsis-induced immunosuppression[J]. Lab Invest, 2021,101(11):1467-1474.
[13]	Jeyanathan M,Vaseghi-Shanjani M,Afkhami S, et al.Parenteral BCG vaccine induces lung-resident memory macrophages and trained immunity via the gut-lung axis[J]. Nat Immunol, 2022,23(12):1687-1702.
[14]	Al-Kuraishy H M,Al-Gareeb A I,Alkazmi L,et al.High-mobility group box 1 (HMGB1) in COVID-19: extrapolation of dangerous liaisons[J].Inflammopharmacology,2022,30(3):811-820.
[15]	白石,周卫,谷颖.新生儿肺炎患者血清YKL-40,25(OH)D3和HMGB1表达水平与感染类型及病情评估的相关性研究[J].现代检验医学杂志,2022,37(6):166-170.
[16]	Li Y,Guo Z,Zhang G,et al.Neonatal streptococcus pneumoniae pneumonia induces airway SMMHC expression through HMGB1/TLR4/ERK[J].Immunol Lett,2021,12(240):149-158.
[17]	吴明,杨雁,游红君,等.重症肺部感染合并呼吸衰竭患者外周血生物标志物水平与预后的关系[J].中华医院感染学杂志,2022,32(3):370-374.
[18]	Fan Y,Ding Y, Li Y, et al.Investigation of the relationship between community-acquired respiratory distress syndrome toxin and the high-mobility group box protein 1-toll-like receptors-myeloid differentiation factor 88 signaling pathway in Mycoplasma pneumoniae pneumonia[J]. Ital J Pediatr, 2022,48(1):64.
[19]	Zhang X,Su C,Zhao S,et al.Combination therapy of Ulinastatin with thrombomodulin alleviates endotoxin (LPS)-induced liver and kidney injury via inhibiting apoptosis, oxidative stress and HMGB1/TLR4/NF-κB pathway[J]. Bioengineered, 2022,13(2):2951-2970.
[20]	Tanahashi H,Yamaguchi K,Kurose K, et al.Predictive value of serum high-mobility group box 1 levels for checkpoint inhibitor pneumonitis[J]. Respirology, 2023,28(4):380-388.

[1]	. [J]. Med. J. Chin. Peop. Armed Poli. Forc., 2024, 35(9): 806-812.