重症社区获得性肺炎患者脂蛋白异常及血尿素氮与脂蛋白a比值的预后价值

张立涛, 徐鑫. 重症社区获得性肺炎患者脂蛋白异常及血尿素氮与脂蛋白a比值的预后价值[J]. 临床急诊杂志, 2024, 25(4): 198-204. doi: 10.13201/j.issn.1009-5918.2024.04.008
引用本文: 张立涛, 徐鑫. 重症社区获得性肺炎患者脂蛋白异常及血尿素氮与脂蛋白a比值的预后价值[J]. 临床急诊杂志, 2024, 25(4): 198-204. doi: 10.13201/j.issn.1009-5918.2024.04.008
ZHANG Litao, XU Xin. Lipoproteins abnormalities and prognostic value of blood urea nitrogen/lipoprotein(a) ratio in patients with severe community-acquired pneumonia[J]. J Clin Emerg, 2024, 25(4): 198-204. doi: 10.13201/j.issn.1009-5918.2024.04.008
Citation: ZHANG Litao, XU Xin. Lipoproteins abnormalities and prognostic value of blood urea nitrogen/lipoprotein(a) ratio in patients with severe community-acquired pneumonia[J]. J Clin Emerg, 2024, 25(4): 198-204. doi: 10.13201/j.issn.1009-5918.2024.04.008

重症社区获得性肺炎患者脂蛋白异常及血尿素氮与脂蛋白a比值的预后价值

  • 基金项目:
    河北省卫生健康委员会医学科学研究课题计划(No:20230270)
详细信息

Lipoproteins abnormalities and prognostic value of blood urea nitrogen/lipoprotein(a) ratio in patients with severe community-acquired pneumonia

More Information
  • 目的 观察重症社区获得性肺炎(severe community-acquired pneumonia,SCAP)患者的血脂水平变化,探讨血尿素氮与脂蛋白a比值[BUN/Lp(a)]对SCAP患者重症监护病房(ICU)死亡的预测价值。方法 选取2021年3月至2023年3月在急诊重症监护病房(EICU)住院的72例SCAP患者。收集患者EICU入院后12 h内的血液检查结果,以及入院后第1天早晨的血脂和脂蛋白水平。根据患者ICU内是否死亡分为生存组(55例)和死亡组(17例)。采用受试者工作特征曲线和曲线下面积(AUC)评价BUN/Lp(a)比值的预测价值。结果 与生存组比较,死亡组患者白细胞介素-6(IL-6)、BUN、BUN/Lp(a)比值均显著升高(P<0.05)。死亡组患者氧合指数(PaO2/FiO2)、血小板计数、Lp(a)均显著低于生存组(P<0.05)。死亡组患者脓毒性休克的比例高于生存组(P=0.05)。IL-6、BUN、BUN/Lp(a)比值与SCAP患者ICU死亡呈弱的正相关性(P<0.05)。PaO2/FiO2和Lp(a)与SCAP患者ICU死亡呈弱的负相关性(P<0.05)。Lp(a)与SCAP患者血小板计数、低密度脂蛋白胆固醇、载脂蛋白B呈正相关性(P<0.05),Lp(a)与IL-6呈负相关性(P<0.05)。血小板计数、PaO2/FiO2、IL-6、BUN、Lp(a)水平和BUN/Lp(a)比值预测SCAP患者ICU死亡的AUC分别为0.665(95%CI 0.544~0.772)、0.709(95%CI 0.590~0.810)、0.660(95%CI 0.539~0.768)、0.678(95%CI 0.558~0.783)、0.776(95%CI 0.662~0.866)和0.809(95%CI 0.699~0.892)(均P<0.05)。AUC两两比较显示,BUN/Lp(a)比值的预测价值优于BUN(P=0.007 9)。BUN/Lp(a)比值预测ICU死亡的灵敏度为65.45%,特异度为88.24%(截断值=0.60)。结论 与生存组比较,SCAP患者死亡组的Lp(a)水平在入院时较低。BUN/Lp(a)比值是SCAP患者ICU死亡的良好预测指标,可能成为评估患者预后的一个很好的方法。
  • 加载中
  • 图 1  血小板计数、PaO2/FiO2、IL-6、BUN、Lp(a)和BUN/Lp(a)比值预测SCAP患者ICU死亡的ROC曲线

    表 1  2组患者基线特征及实验室检查结果比较

    临床资料 生存组(55例) 死亡组(17例) P
    基线特征
      年龄/岁 73(62,83) 78(64,84) 0.546
      男/例(%) 41(74.5) 13(76.5) 1.000
      APACHEⅡ评分 19.4±5.8 21.8±8.1 0.182
      SBP/mmHg 119.6±25.3 111.7±17.8 0.240
      DBP/mmHg 70(63,80) 63(55,68) 0.065
      HR/(次/min) 99.8±17.9 108.2±26.6 0.236
      PaO2/FiO2/mmHg 185.6±79.1 136.0±73.8 0.025
      脓毒性休克/例(%) 15(27.3) 9(52.9) 0.050
      合并症/例(%)
        高血压 29(52.7) 11(64.7) 0.385
        糖尿病 17(30.9) 4(23.5) 0.762
        肾脏疾病 1(1.8) 1(5.9) 0.419
        冠心病 13(23.6) 6(35.3) 0.359
        慢性阻塞性肺疾病 2(3.6) 0 1.000
        脑血管病 35(63.6) 11(64.7) 0.936
        肝功能异常 3(5.5) 0 1.000
    常规实验室检查
      PCT/(ng/mL) 1.81(0.51,15.44) 6.91(0.45,19.44) 0.600
      CRP/(mg/L) 159.36±120.47 191.55±94.30 0.317
      IL-6/(pg/mL) 124.00(57.52,434.00) 390.10(86.81,3 194.50) 0.047
      中性粒细胞计数/(×109/L) 9.85(6.12,12.76) 11.68(6.71,18.92) 0.225
      淋巴细胞计数/(×109/L) 0.90(0.42,1.37) 0.47(0.26,1.09) 0.054
      血小板计数/(×109/L) 188(143,274) 151(109,209) 0.041
      D-dimer/(mg/L) 3.24(1.47,5.89) 2.28(1.22,8.72) 0.858
      Lac/(mmol/L) 2.50(1.60,3.73) 2.70(1.85,4.55) 0.310
      Alb/(g/L) 30.10(26.40,33.00) 31.10(27.10,32.40) 0.974
      TBiL/(μmol/L) 16.40(11.70,22.80) 19.90(11.80,31.20) 0.389
      Scr/(μmol/L) 72.00(55.10,113.30) 119.60(59.70,186.75) 0.132
      BUN/(mmol/L) 8.30(4.90,13.60) 13.20(8.35,22.30) 0.027
    血脂检查
      TC/(mmol/L) 2.89±1.05 2.59±1.13 0.312
      TG/(mmol/L) 1.13(0.77,1.64) 1.25(0.79,1.80) 0.507
      HDL-C/(mmol/L) 0.79±0.26 0.74±0.38 0.553
      LDL-C/(mmol/L) 1.80±0.70 1.59±0.75 0.304
      VLDL-C/(mmol/L) 0.26(0.16,0.41) 0.24(0.13,0.38) 0.591
      ApoA-1/(g/L) 0.73±0.28 0.62±0.28 0.154
      ApoB/(g/L) 0.59±0.22 0.51±0.19 0.182
      Lp(a)/(mg/dL) 15.81(11.16,29.48) 7.52(5.77,14.46) 0.001
      BUN/Lp(a)比值 0.46(0.21,0.98) 1.77(0.80,2.69) <0.001
    1 mmHg=0.133 kPa。
    下载: 导出CSV

    表 2  SCAP患者ICU死亡相关因素的Spearman分析

    相关因素 r P
    年龄 0.071 0.552
    PaO2/FiO2 -0.264 0.025
    脓毒性休克 0.231 0.051
    APACHEⅡ评分 0.159 0.182
    PCT 0.046 0.701
    CRP 0.120 0.317
    IL-6 0.343 0.003
    中性粒细胞计数 0.154 0.196
    淋巴细胞计数 -0.192 0.106
    血小板计数 -0.226 0.057
    D-dimer 0.065 0.589
    Lac 0.066 0.580
    Alb -0.005 0.964
    TBiL 0.214 0.071
    Scr 0.117 0.329
    BUN 0.273 0.020
    TC -0.121 0.312
    TG 0.027 0.821
    HDL-C -0.071 0.553
    LDL-C -0.123 0.304
    VLDL-C -0.101 0.400
    ApoA-1 -0.170 0.154
    ApoB -0.159 0.182
    Lp(a) -0.308 0.008
    BUN/Lp(a)比值 0.395 0.001
    下载: 导出CSV

    表 3  SCAP患者Lp(a)水平相关因素的Spearman分析

    相关因素 r P
    PaO2/FiO2 0.070 0.559
    脓毒性休克 -0.177 0.136
    APACHEⅡ评分 0.046 0.704
    PCT -0.089 0.457
    CRP -0.096 0.423
    IL-6 -0.260 0.027
    中性粒细胞计数 -0.080 0.503
    淋巴细胞计数 0.091 0.446
    血小板计数 0.314 0.007
    D-dimer -0.121 0.311
    Lac -0.155 0.193
    Alb -0.096 0.423
    TBiL -0.224 0.059
    Scr 0.027 0.825
    BUN -0.061 0.610
    TC 0.210 0.077
    TG -0.050 0.676
    HDL-C 0.073 0.541
    LDL-C 0.259 0.028
    VLDL-C 0.063 0.598
    ApoA-1 0.148 0.214
    ApoB 0.241 0.041
    下载: 导出CSV

    表 4  ROC分析结果

    相关因素 AUC 95%CI P
    血小板计数 0.665 0.544~0.772 0.024
    PaO2/FiO2 0.709 0.590~0.810 0.006
    IL-6 0.660 0.539~0.768 0.047
    BUN 0.678 0.558~0.783 0.013
    Lp(a) 0.776 0.662~0.866 <0.001
    BUN/Lp(a)比值 0.809 0.699~0.892 <0.001
    下载: 导出CSV

    表 5  血小板计数、PaO2/FiO2、IL-6、BUN、Lp(a)和BUN/Lp(a)比值预测SCAP患者ICU死亡的最佳临界值、灵敏度和特异度

    相关因素 截断值 灵敏度/% 特异度/% 阳性似然比 阴性似然比
    血小板计数/(×109/L) 169.00 65.45(95%CI 51.4~77.8) 70.59(95%CI 44.0~89.7) 2.23 0.49
    PaO2/FiO2/mmHg 152.67 70.91(95%CI 57.1~82.4) 76.47(95%CI 50.1~93.2) 3.01 0.38
    IL-6/(pg/mL) 1 111.00 85.45(95%CI 73.3~93.5) 47.06(95%CI 23.0~72.2) 1.61 0.31
    BUN/(mmol/L) 8.60 52.73(95%CI 38.8~66.3) 76.47(95%CI 50.1~93.2) 2.24 0.62
    Lp(a)/(mg/dL) 20.22 47.27(95%CI 33.7~61.2) 100.00(95%CI 80.5~100.0) - 0.53
    BUN/Lp(a)比值 0.60 65.45(95%CI 51.4~77.8) 88.24(95%CI 63.6~98.5) 5.56 0.39
    下载: 导出CSV
  • [1]

    GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017[J]. Lancet, 2018, 392(10159): 1736-1788. doi: 10.1016/S0140-6736(18)32203-7

    [2]

    Jain S, Self WH, Wunderink RG, et al. Community-Acquired Pneumonia Requiring Hospitalization among U.S. Adults[J]. N Engl J Med, 2015, 373(5): 415-427. doi: 10.1056/NEJMoa1500245

    [3]

    王重阳, 王璐, 郭仁楠, 等. ROX指数预测老年重症社区获得性肺炎患者气管插管的有效性分析[J]. 临床急诊杂志, 2022, 23(12): 854-858. https://lcjz.whuhzzs.com/article/doi/10.13201/j.issn.1009-5918.2022.12.010?viewType=HTML

    [4]

    Cillóniz C, Dominedò C, Garcia-Vidal C, et al. Community-acquired pneumonia as an emergency condition[J]. Curr Opin Crit Care, 2018, 24(6): 531-539. doi: 10.1097/MCC.0000000000000550

    [5]

    Montull B, Menéndez R, Torres A, et al. Predictors of Severe Sepsis among Patients Hospitalized for Community-Acquired Pneumonia[J]. PLoS One, 2016, 11(1): e0145929. doi: 10.1371/journal.pone.0145929

    [6]

    Laudanski K. Persistence of Lipoproteins and Cholesterol Alterations after Sepsis: Implication for Atherosclerosis Progression[J]. Int J Mol Sci, 2021, 22(19): 10517. doi: 10.3390/ijms221910517

    [7]

    Cirstea M, Walley KR, Russell JA, et al. Decreased high-density lipoprotein cholesterol level is an early prognostic marker for organ dysfunction and death in patients with suspected sepsis[J]. J Crit Care, 2017, 38: 289-294. doi: 10.1016/j.jcrc.2016.11.041

    [8]

    Pizzini A, Kurz K, Orth-Hoeller D, et al. The impact of bacteremia on lipoprotein concentrations and patient's outcome: a retrospective analysis[J]. Eur J Clin Microbiol Infect Dis, 2019, 38(7): 1279-1286. doi: 10.1007/s10096-019-03543-w

    [9]

    Reisinger AC, Schuller M, Holzer M, et al. Arylesterase Activity of HDL Associated Paraoxonase as a Potential Prognostic Marker in Patients With Sepsis and Septic Shock-A Prospective Pilot Study[J]. Front Med(Lausanne), 2020, 7: 579677.

    [10]

    Reyes-Soffer G, Westerterp M. Beyond Lipoprotein(a)plasma measurements: Lipoprotein(a)and inflammation[J]. Pharmacol Res, 2021, 169: 105689. doi: 10.1016/j.phrs.2021.105689

    [11]

    Apostolou F, Gazi IF, Lagos K, et al. Acute infection with Epstein-Barr virus is associated with atherogenic lipid changes[J]. Atherosclerosis, 2010, 212(2): 607-613. doi: 10.1016/j.atherosclerosis.2010.06.006

    [12]

    Liu J, Sun LL, Wang J, et al. Blood urea nitrogen in the prediction of in-hospital mortality of patients with acute aortic dissection[J]. Cardiol J, 2018, 25(3): 371-376. doi: 10.5603/CJ.a2017.0075

    [13]

    Gary T, Pichler M, Schilcher G, et al. Elevated Blood Urea Nitrogen is Associated With Critical Limb Ischemia in Peripheral Arterial Disease Patients[J]. Medicine(Baltimore), 2015, 94(24): e948.

    [14]

    Metlay JP, Waterer GW, Long AC, et al. Diagnosis and Treatment of Adults with Community-acquired Pneumonia. An Official Clinical Practice Guideline of the American Thoracic Society and Infectious Diseases Society of America[J]. Am J Respir Crit Care Med, 2019, 200(7): e45-e67. doi: 10.1164/rccm.201908-1581ST

    [15]

    Golucci APBS, Marson FAL, Ribeiro AF, et al. Lipid profile associated with the systemic inflammatory response syndrome and sepsis in critically ill patients[J]. Nutrition, 2018, 55-56: 7-14. doi: 10.1016/j.nut.2018.04.007

    [16]

    Ali Abdelhamid Y, Cousins CE, Sim JA, et al. Effect of Critical Illness on Triglyceride Absorption[J]. JPEN J Parenter Enteral Nutr, 2015, 39(8): 966-972. doi: 10.1177/0148607114540214

    [17]

    Hofmaenner DA, Kleyman A, Press A, et al. The Many Roles of Cholesterol in Sepsis: A Review[J]. Am J Respir Crit Care Med, 2022, 205(4): 388-396. doi: 10.1164/rccm.202105-1197TR

    [18]

    Apostolou F, Gazi IF, Kostoula A, et al. Persistence of an atherogenic lipid profile after treatment of acute infection with Brucella[J]. J Lipid Res, 2009, 50(12): 2532-2539. doi: 10.1194/jlr.P900063-JLR200

    [19]

    Mooser V, Berger MM, Tappy L, et al. Major reduction in plasma Lp(a)levels during sepsis and burns[J]. Arterioscler Thromb Vasc Biol, 2000, 20(4): 1137-1142. doi: 10.1161/01.ATV.20.4.1137

    [20]

    Klaude M, Mori M, Tjäder I, et al. Protein metabolism and gene expression in skeletal muscle of critically ill patients with sepsis[J]. Clin Sci(Lond), 2012, 122(3): 133-142. doi: 10.1042/CS20110233

    [21]

    Peerapornratana S, Manrique-Caballero CL, Gómez H, et al. Acute kidney injury from sepsis: current concepts, epidemiology, pathophysiology, prevention and treatment[J]. Kidney Int, 2019, 96(5): 1083-1099. doi: 10.1016/j.kint.2019.05.026

    [22]

    Li X, Zheng R, Zhang T, et al. Association between blood urea nitrogen and 30-day mortality in patients with sepsis: a retrospective analysis[J]. Ann Palliat Med, 2021, 10(11): 11653-11663. doi: 10.21037/apm-21-2937

    [23]

    Feng DY, Zhou YQ, Zou XL, et al. Elevated Blood Urea Nitrogen-to-Serum Albumin Ratio as a Factor That Negatively Affects the Mortality of Patients with Hospital-Acquired Pneumonia[J]. Can J Infect Dis Med Microbiol, 2019, 2019: 1547405.

    [24]

    Zou XL, Feng DY, Wu WB, et al. Blood urea nitrogen to serum albumin ratio independently predicts 30-day mortality and severity in patients with Escherichia coli bacteraemia[J]. Med Clin(Barc), 2021, 157(5): 219-225.

    [25]

    Gentile LF, Cuenca AG, Vanzant EL, et al. Is there value in plasma cytokine measurements in patients with severe trauma and sepsis?[J]. Methods, 2013, 61(1): 3-9. doi: 10.1016/j.ymeth.2013.04.024

    [26]

    Georgescu AM, Grigorescu BL, Chirteș IR, et al. The Relevance of Coding Gene Polymorphysms of Cytokines and Cellular Receptors in Sepsis[J]. J Crit Care Med(Targu Mures), 2017, 3(1): 5-11. doi: 10.1515/jccm-2017-0001

    [27]

    Zhang LT, Xu X, Han H, et al. The value of NSE to predict ICU mortality in patients with septic shock: A prospective observational study[J]. Medicine(Baltimore), 2022, 101(40): e30941.

    [28]

    Sharma B, Sharma M, Majumder M, et al. Thrombocytopenia in septic shock patients--a prospective observational study of incidence, risk factors and correlation with clinical outcome[J]. Anaesth Intensive Care, 2007, 35(6): 874-880. doi: 10.1177/0310057X0703500604

    [29]

    Thiery-Antier N, Binquet C, Vinault S, et al. Is Thrombocytopenia an Early Prognostic Marker in Septic Shock?[J]. Crit Care Med, 2016, 44(4): 764-772. doi: 10.1097/CCM.0000000000001520

    [30]

    Venkata C, Kashyap R, Farmer JC, et al. Thrombocytopenia in adult patients with sepsis: incidence, risk factors, and its association with clinical outcome[J]. J Intensive Care, 2013, 1(1): 9. doi: 10.1186/2052-0492-1-9

  • 加载中

(1)

(5)

计量
  • 文章访问数:  444
  • PDF下载数:  53
  • 施引文献:  0
出版历程
收稿日期:  2024-01-11
刊出日期:  2024-04-10

目录