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高密度脂蛋白胆固醇对脓毒症患者继发急性肾损伤的早期预测价值

李京宴 姚咏明 田英平

李京宴, 姚咏明, 田英平. 高密度脂蛋白胆固醇对脓毒症患者继发急性肾损伤的早期预测价值[J]. 中华烧伤与创面修复杂志, 2022, 38(2): 130-136. DOI: 10.3760/cma.j.cn501120-20210917-00325.
引用本文: 李京宴, 姚咏明, 田英平. 高密度脂蛋白胆固醇对脓毒症患者继发急性肾损伤的早期预测价值[J]. 中华烧伤与创面修复杂志, 2022, 38(2): 130-136. DOI: 10.3760/cma.j.cn501120-20210917-00325.
Li JY,Yao YM,Tian YP.Early predictive value of high density lipoprotein cholesterol for secondary acute kidney injury in sepsis patients[J].Chin J Burns Wounds,2022,38(2):130-136.DOI: 10.3760/cma.j.cn501120-20210917-00325.
Citation: Li JY,Yao YM,Tian YP.Early predictive value of high density lipoprotein cholesterol for secondary acute kidney injury in sepsis patients[J].Chin J Burns Wounds,2022,38(2):130-136.DOI: 10.3760/cma.j.cn501120-20210917-00325.

高密度脂蛋白胆固醇对脓毒症患者继发急性肾损伤的早期预测价值

doi: 10.3760/cma.j.cn501120-20210917-00325
基金项目: 

国家自然科学基金重点项目 81730057

军事医学创新工程重点项目 18CXZ026

河北省医学科学研究重点课题计划 20210013

详细信息
    通讯作者:

    姚咏明,Email:c_ff@sina.com

    田英平,Email:tianyingping-jzh@163.com

Early predictive value of high density lipoprotein cholesterol for secondary acute kidney injury in sepsis patients

Funds: 

Key Program of National Natural Science Foundation of China 81730057

Key Project of Innovation Engineering in Military Medicine 18CXZ026

Plan for Key Research Topics of Medical Science in Hebei Province of China 20210013

More Information
    Corresponding author: Yao Yongming, Email: c_ff@sina.com; Tian Yingping, Email: tianyingping-jzh@163.com
  • 摘要:   目的  探讨脓毒症患者高密度脂蛋白胆固醇(HDL-C)水平的变化及其对该类患者继发急性肾损伤(AKI)的早期预测价值。  方法  采用回顾性病例系列研究方法。2019年6月—2021年6月,河北医科大学第二医院收治232例符合入选标准的脓毒症患者,其中男126例、女106例,年龄24~71岁。依据是否继发AKI,将患者分为非AKI组(158例)和AKI组(74例)。对比2组患者入院时性别、年龄、身体质量指数(BMI)、体温、心率、原发感染部位、合并基础疾病情况、急性生理学和慢性健康状况评价Ⅱ(APACHE Ⅱ)评分及脓毒症相关性器官功能衰竭评价(SOFA)评分,确诊脓毒症时检测的血清C反应蛋白(CRP)、降钙素原、肌酐、胱抑素C及HDL-C水平,对数据进行独立样本t检验、χ2检验。对2组比较差异有统计学意义的指标进行多因素logistic回归分析,筛选影响232例脓毒症患者继发AKI的独立危险因素,并以独立危险因素为基础构建联合预测模型。绘制独立危险因素与联合预测模型预测232例脓毒症患者继发AKI的受试者操作特征(ROC)曲线,计算曲线下面积(AUC)及最佳阈值与最佳阈值下的敏感度、特异度。采用Delong检验对前述AUC的质量进行比较,采用χ2检验对最佳阈值下的敏感度和特异度进行比较。  结果  2组患者性别、年龄、BMI、体温、心率、原发感染部位、合并基础疾病以及CRP水平均相近(P>0.05);AKI组患者降钙素原、肌酐、胱抑素C、APACHE Ⅱ评分及SOFA评分均明显高于非AKI组(t值分别为-3.21、-16.14、-12.75、-11.13、-12.88, P<0.01),HDL-C水平显著低于非AKI组(t=6.33,P<0.01)。多因素logistic回归分析显示,肌酐、胱抑素C、HDL-C是232例脓毒症患者继发AKI的独立危险因素(比值比分别为2.45、1.68、2.12,95%置信区间分别为1.38~15.35、1.06~3.86、0.86~2.56,P<0.01)。肌酐、胱抑素C、HDL-C、联合预测模型预测232例脓毒症患者继发AKI的ROC的AUC分别为0.69、0.79、0.89、0.93(95%置信区间分别为0.61~0.76、0.72~0.85、0.84~0.92、0.89~0.96,P值均<0.01),最佳阈值分别为389.53 μmol/L、1.56 mg/L、0.63 mmol/L、0.48,最佳阈值下的敏感度分别为76.6%、81.4%、89.7%、95.5%,最佳阈值下的特异度分别为78.6%、86.7%、88.6%、96.6%。胱抑素C的AUC质量明显优于肌酐(z=2.34,P<0.05),HDL-C的AUC质量及最佳阈值下的敏感度、特异度均明显优于胱抑素C(z=3.33,χ2值分别为6.43、7.87,P<0.01)与肌酐(z=5.34,χ2值分别为6.32、6.41,P<0.01),联合预测模型的AUC质量及最佳阈值下的敏感度、特异度均明显优于肌酐、胱抑素C、HDL-C(z值分别6.18、4.50、2.06,χ2值分别5.31、7.23、3.99,6.56、7.34、4.00,P<0.05或P<0.01)。  结论  脓毒症继发AKI患者HDL-C水平较未继发AKI患者明显降低,该指标是脓毒症患者继发AKI的独立危险因素,其诊断价值优于肌酐和胱抑素C,前述3个指标联合对脓毒症患者继发AKI的预测价值更高。

     

  • 参考文献(35)

    [1] LudwigKR,HummonAB.Mass spectrometry for the discovery of biomarkers of sepsis[J].Mol Biosyst,2017,13(4):648-664.DOI: 10.1039/c6mb00656f.
    [2] Belgian Outcome in Burn Injury Study Group. Development and validation of a model for prediction of mortality in patients with acute burn injury[J]. Br J Surg, 2009, 96(1):111-117. DOI: 10.1002/bjs.6329.
    [3] MouriT, KawaharaH, MatsumotoT, et al. Respiratory disorder at the end of surgery for peritonitis due to colorectal perforation is a critical predictor of postoperative sepsis[J]. In Vivo, 2019, 33(4):1329-1332. DOI: 10.21873/invivo.11607.
    [4] VincentJL,RelloJ,MarshallJ,et al.International study of the prevalence and outcomes of infection in intensive care units[J].JAMA,2009,302(21):2323-2329.DOI: 10.1001/jama.2009.1754.
    [5] RelloJ, Valenzuela-SánchezF, Ruiz-RodriguezM, et al. Sepsis: a review of advances in management[J].Adv Ther, 2017, 34(11):2393-2411. DOI: 10.1007/s12325-017-0622-8.
    [6] 夏照帆,伍国胜.浅谈细胞因子在脓毒症中的作用及临床应用现状[J].中华烧伤杂志,2019,35(1):3-7.DOI: 10.3760/cma.j.issn.1009-2587.2019.01.002.
    [7] 中国医疗保健国际交流促进会急诊医学分会,中华医学会急诊医学分会,中国医师协会急诊医师分会,等.中国“脓毒症早期预防与阻断”急诊专家共识[J].中华危重病急救医学,2020, 32(5):518-530.DOI: 10.3760/cma.j.cn121430-20200514-00414.
    [8] CzuraCJ."Merinoff symposium 2010: sepsis"-speaking with one voice[J].Mol Med,2011,17(1/2):2-3.DOI: 10.2119/molmed.2010.00001.commentary.
    [9] WuL,FengQ,AiML,et al.The dynamic change of serum S100B levels from day 1 to day 3 is more associated with sepsis- associated encephalopathy[J].Sci Rep,2020,10(1):7718.DOI: 10.1038/s41598-020-64200-3.
    [10] AngusDC,van der PollT.Severe sepsis and septic shock[J].N Engl J Med,2013,369(9):840-851.DOI: 10.1056/NEJMra1208623.
    [11] CoopersmithCM,WunschH,FinkMP,et al.A comparison of critical care research funding and the financial burden of critical illness in the United States[J].Crit Care Med,2012,40(4):1072-1079.DOI: 10.1097/CCM.0b013e31823c8d03.
    [12] WiersingaWJ,LeopoldSJ,CranendonkDR,et al.Host innate immune responses to sepsis[J].Virulence,2014,5(1):36-44.DOI: 10.4161/viru.25436.
    [13] SchulteW,BernhagenJ,BucalaR.Cytokines in sepsis: potent immunoregulators and potential therapeutic targets--an updated view[J].Mediators Inflamm,2013,2013:165974.DOI: 10.1155/2013/165974.
    [14] SmithLE.High-density lipoproteins and acute kidney injury[J].Semin Nephrol,2020,40(2):232-242.DOI: 10.1016/j.semnephrol.2020.01.013.
    [15] SingerM,DeutschmanCS,SeymourCW,et al.The third international consensus definitions for sepsis and septic shock (sepsis-3)[J].JAMA,2016,315(8):801-810.DOI: 10.1001/jama.2016.0287.
    [16] KhwajaA.KDIGO clinical practice guidelines for acute kidney injury[J].Nephron Clin Pract,2012,120(4):c179-184.DOI: 10.1159/000339789.
    [17] 黄祺,孙宇,罗莉,等.ICU创伤患者并发脓毒症预警评分系统的建立[J]. 中华危重病急救医学,2019,31(4):422-427. DOI: 10.3760/cma.j.issn.2095-4352.2019.04.010.
    [18] 杨建华,王旭,张安强,等.创伤脓毒症风险预警诊断和预后评估模型建立与评价[J].中华创伤杂志,2017,33(5):447-452.DOI: 10.3760/cma.j.issn.1001-8050.2017.05.013.
    [19] JainS. Sepsis: an update on current practices in diagnosis and management[J]. Am J Med Sci, 2018, 356(3): 277-286.DOI: 10.1016/j.amjms.2018.06.012.
    [20] FleischmannC, ScheragA, AdhikariNK, et al. Assessment of global incidence and mortality of hospital-treated sepsis. Current estimates and limitations[J]. Am J Respir Crit Care Med, 2016, 193(3): 259-272.DOI: 10.1164/rccm.201504-0781OC.
    [21] RhodesA, EvansLE, AlhazzaniW, et al. Surviving sepsis campaign: international guidelines for management of sepsis and septic shock: 2016[J]. Intensive Care Med, 2017,43(3): 304-377.DOI: 10.1007/s00134-017-4683-6.
    [22] TabetF,VickersKC,Cuesta TorresLF,et al.HDL-transferred microRNA-223 regulates ICAM-1 expression in endothelial cells[J].Nat Commun,2014,5:3292.DOI: 10.1038/ncomms4292.
    [23] van ZonneveldAJ,RabelinkTJ,BijkerkR.miRNA-coordinated networks as promising therapeutic targets for acute kidney injury[J].Am J Pathol,2017,187(1):20-24.DOI: 10.1016/j.ajpath.2016.10.017.
    [24] RenGL,ZhuJ,LiJ,et al.Noncoding RNAs in acute kidney injury[J].J Cell Physiol,2019,234(3):2266-2276.DOI: 10.1002/jcp.27203.
    [25] LevyMM,EvansLE,RhodesA.The surviving sepsis campaign bundle: 2018 update[J].Crit Care Med,2018,44(6):997-1000.DOI: 10.1097/CCM.0000000000003119.
    [26] Nunez LopezO,Cambiaso-DanielJ,BranskiLK,et al.Predicting and managing sepsis in burn patients: current perspectives[J].Ther Clin Risk Manag,2017,13:1107-1117.DOI: 10.1097/CCM.0000000000003119.
    [27] XieY,WangQ,WangC,et al.Association between the levels of urine kidney injury molecule-1 and the progression of acute kidney injury in the elderly[J].PLoS One,2017,12(2):e0171076.DOI: 10.1371/journal.pone.0171076.
    [28] SinghIM,ShishehborMH,AnsellBJ.High-density lipoprotein as a therapeutic target: a systematic review[J].JAMA,2007,298(7):786-798.DOI: 10.1001/jama.298.7.786.
    [29] Roveran GengaK,LoC,CirsteaM,et al.Two-year follow-up of patients with septic shock presenting with low HDL: the effect upon acute kidney injury, death and estimated glomerular filtration rate[J].J Intern Med,2017,281(5):518-529.DOI: 10.1111/joim.12601.
    [30] GuoL,AiJ,ZhengZ,et al.High density lipoprotein protects against polymicrobe-induced sepsis in mice[J].J Biol Chem,2013,288(25):17947-17953.DOI: 10.1074/jbc.M112.442699.
    [31] MurphyAJ,WoollardKJ,HoangA,et al.High-density lipoprotein reduces the human monocyte inflammatory response[J].Arterioscler Thromb Vasc Biol,2008,28(11):2071-2077.DOI: 10.1161/ATVBAHA.108.168690.
    [32] De NardoD,LabzinLI,KonoH,et al.High-density lipoprotein mediates anti-inflammatory reprogramming of macrophages via the transcriptional regulator ATF3[J].Nat Immunol,2014,15(2):152-160.DOI: 10.1038/ni.2784.
    [33] LeeDW,FaubelS,EdelsteinCL.Cytokines in acute kidney injury (AKI)[J].Clin Nephrol,2011,76(3):165-173.DOI: 10.5414/cn106921.
    [34] HuP,ChenY,PangJ,et al.Association between IL-6 polymorphisms and sepsis[J].Innate Immun,2019,25(8):465-472.DOI: 10.1177/1753425919872818.
    [35] RochwergB,OczkowskiSJ,SiemieniukR,et al.Corticosteroids in sepsis: an updated systematic review and meta-analysis[J].Crit Care Med,2018,46(9):1411-1420.DOI: 10.1097/CCM.0000000000003262.
  • 1  3种独立危险因素与联合预测模型预测232例脓毒症患者继发急性肾损伤的受试者操作特征曲线

    注:HDL-C为高密度脂蛋白胆固醇;联合预测模型以肌酐、胱抑素C与HDL-C为基础

    表1  2组脓毒症患者临床资料比较

    组别例数性别(例)年龄(岁,x¯±sBMI(kg/m2x¯±s体温(℃,x¯±s心率(次/min,x¯±s合并基础疾病(例)
    高血压冠心病糖尿病COPD脑血管疾病脑血管疾病
    非AKI组158827654±1221.8±2.938.5±0.997±17572832152210
    AKI组74443055±922.5±3.638.8±0.8101±1822132110138
    统计量值χ2=1.16t=-0.71t=-1.43t=-1.60t=-1.79χ2=0.90χ2=0.01χ2=1.89χ2=0.85χ2=0.52χ2=1.41
    P0.3230.4770.1530.1090.0730.3750.9770.1820.3700.5550.292
    注:AKI为急性肾损伤,BMI为身体质量指数,COPD为慢性阻塞性肺疾病,APACHE Ⅱ为急性生理学和慢性健康状况评价Ⅱ,SOFA为脓毒症相关性器官功能衰竭评价,CRP为C反应蛋白,HDL-C为高密度脂蛋白胆固醇
    下载: 导出CSV

    表2  232例脓毒症患者继发急性肾损伤的多因素logistic回归分析结果

    因素回归系数标准误比值比95%置信区间P
    降钙素原(ng/mL)0.210.330.590.56~0.710.055
    肌酐(μmol/L)4.134.622.451.38~15.35<0.001
    胱抑素C(mg/L)0.910.531.681.06~3.86<0.001
    HDL-C(mmol/L)1.020.412.120.86~2.56<0.001
    APACHE Ⅱ评分(分)0.070.020.960.91~1.530.083
    SOFA评分(分)0.280.151.310.78~1.720.112
    注:HDL-C为高密度脂蛋白胆固醇,APACHE Ⅱ为急性生理学和慢性健康状况评价Ⅱ,SOFA为脓毒症相关性器官功能衰竭评价
    下载: 导出CSV

    表3  3种独立危险因素与联合预测模型对232例脓毒症患者继发AKI预测的受试者操作特征曲线的曲线下面积质量及最佳阈值下敏感度和特异度比较

    对比因素或模型曲线下面积敏感度特异度
    曲线下面积差值标准误95%置信区间zPχ2Pχ2P
    肌酐与胱抑素C0.100.050.02~0.202.340.0193.430.2133.220.108
    肌酐与HDL-C0.200.040.13~0.285.340.0016.320.0016.410.001
    肌酐与联合预测模型0.240.040.17~0.326.180.0015.310.0016.560.001
    胱抑素C与HDL-C0.100.030.04~0.163.330.0016.430.0017.870.001
    胱抑素C与联合预测模型0.140.030.08~0.204.500.0017.230.0017.340.001
    HDL-C与联合预测模型0.040.020.01~0.072.060.0393.990.0284.000.023
    注:AKI为急性肾损伤,HDL-C为高密度脂蛋白胆固醇;联合预测模型以肌酐、胱抑素C与HDL-C为基础
    下载: 导出CSV
    脱细胞真皮基质(ADM)重症监护病房(ICU)动脉血氧分压(PaO2
    丙氨酸转氨酶(ALT)白细胞介素(IL)磷酸盐缓冲液(PBS)
    急性呼吸窘迫综合征(ARDS)角质形成细胞(KC)反转录-聚合酶链反应(RT-PCR)
    天冬氨酸转氨酶(AST)半数致死烧伤面积(LA50)全身炎症反应综合征(SIRS)
    集落形成单位(CFU)内毒素/脂多糖(LPS)超氧化物歧化酶(SOD)
    细胞外基质(ECM)丝裂原活化蛋白激酶(MAPK)动脉血氧饱和度(SaO2
    表皮生长因子(EGF)最低抑菌浓度(MIC)体表总面积(TBSA)
    酶联免疫吸附测定(ELISA)多器官功能障碍综合征(MODS)转化生长因子(TGF)
    成纤维细胞(Fb)多器官功能衰竭(MOF)辅助性T淋巴细胞(Th)
    成纤维细胞生长因子(FGF)一氧化氮合酶(NOS)肿瘤坏死因子(TNF)
    3-磷酸甘油醛脱氢酶(GAPDH)负压伤口疗法(NPWT)血管内皮生长因子(VEGF)
    苏木精-伊红(HE)动脉血二氧化碳分压(PaCO2负压封闭引流(VSD)
    下载: 导出CSV
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