医学检查与临床诊断

血尿素氮对脓毒性休克患者院内死亡风险的预测价值

  • 庞婷 ,
  • 韩勇 ,
  • 周力 ,
  • 谢莉惠 ,
  • 雷景恒 ,
  • 邓哲
展开
  • 1.广西中医药大学 (南宁 530200 )
    2.深圳市第二人民医院(深圳大学第一附属医院)急诊科 (广东 深圳 518035 )
    3.深圳大学 (广东 深圳 518055 )

收稿日期: 2024-01-15

  网络出版日期: 2024-07-09

基金资助

深圳市科技计划(JCYJ20180228163014668);广东省高水平医院建设项目深圳市第二人民医院临床研究基金(20223357005)

Predictive value of blood urea nitrogen for in-hospital death risk in patients with septic shock

  • Ting PANG ,
  • Yong HAN ,
  • Li ZHOU ,
  • Lihui XIE ,
  • Jingheng LEI ,
  • Zhe. DENG
Expand
  • Guangxi University of Traditional Chinese Medicine,Nanning 530200,China

Received date: 2024-01-15

  Online published: 2024-07-09

摘要

目的 探讨血尿素氮(BUN)水平与脓毒性休克患者院内死亡风险的关系及预测价值。 方法 回顾性收集2018年1月1日至2023年9月30日在深圳市第二人民医院诊断为脓毒性休克的328例患者的临床资料。主要结局指标为脓毒性休克患者院内病死。采用logistic单因素分析探讨BUN与脓毒性休克患者院内病死的相关性;采用logistic多因素回归模型探讨BUN与脓毒性休克患者院内病死之间的量化关系,再利用敏感性分析来检验结果的稳定性。 结果 logistic单因素分析提示BUN为脓毒性休克患者院内死亡的危险因素。logistic多因素分析显示BUN与脓毒性休克患者院内病死之间存在正相关:BUN每增加1 mmol/L,脓毒性休克患者院内死亡风险增加3.3%(OR = 1.033,P < 0.01);调整不同变量后,BUN每增加1 mmol/L,院内死亡风险分别增加2.9%(OR = 1.029,P < 0.05)和3.2%(OR = 1.032,P < 0.05)。敏感性分析进一步证实结果的稳定性(OR = 1.04,P < 0.05)。 结论 BUN水平与脓毒性休克患者院内病死之间存在正相关,对脓毒性休克患者院内死亡风险有一定的预测价值。

本文引用格式

庞婷 , 韩勇 , 周力 , 谢莉惠 , 雷景恒 , 邓哲 . 血尿素氮对脓毒性休克患者院内死亡风险的预测价值[J]. 实用医学杂志, 2024 , 40(13) : 1874 -1878 . DOI: 10.3969/j.issn.1006-5725.2024.13.019

Abstract

Objective To investigate the relationship and predictive value of blood urea nitrogen (BUN) levels with the risk of in-hospital mortality in patients with septic shock. Methods Clinical data of 328 patients diagnosed with septic shock from January 1, 2018 to September 30, 2023 in Shenzhen Second People's Hospital were retrospectively collected. The primary outcome indicator was in-hospital death in patients with septic shock. Simple logistic regression analyses was used to explore the correlation between BUN and in-hospital death in patients with septic shock; multiple logistic regression analyses model was used to explore the quantitative relationship between BUN and in-hospital death in septic shock, sensitivity analyses was utilized to test the stability of the results. Results Simple logistic regression analyses suggested that BUN was a risk factor for in-hospital mortality in patients with septic shock. Multiple logistic regression analyses showed a positive correlation between BUN and in-hospital mortality in patients with septic shock: the risk of in-hospital mortality in patients with septic shock was increased by 3.3% for every 1 mmol/L increase in BUN (OR = 1.033,P < 0.01); after adjusting for different variables, the risk of in-hospital death increased by 2.9% (OR = 1.029,P < 0.05) and 3.2% (OR = 1.032,P < 0.05) for each 1 mmol/L increase in BUN, respectively. Sensitivity analyses further confirmed the stability of the results (OR = 1.04,P < 0.05). Conclusion There is a positive correlation between BUN levels and in-hospital death in patients with septic shock, and it has a predictive value for the risk of in-hospital death in patients with septic shock.

参考文献

1 SINGER M, DEUTSCHMAN C S, SEYMOUR C W,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
2 CECCONI M, EVANS L, LEVY M, et al. Sepsis and septic shock[J]. Lancet, 2018,392(10141):75-87. doi:10.1016/s0140-6736(18)30696-2
3 夏嘉鼎,苏震,王娜,等. 肌钙蛋白I在脓毒性休克致左心室舒张功能障碍患者中的变化和意义[J]. 实用医学杂志, 2017,33(9):1449-1452. doi:10.3969/j.issn.1006-5725.2017.09.022
4 GHIMIRE R, SHAKYA Y M, SHRESTHA T M, et al. The utility of red cell distribution width to predict mortality of septic patients in a tertiary hospital of Nepal[J]. BMC Emerg Med, 2020, 20(1):43. doi:10.1186/s12873-020-00337-8
5 李晓倩, 马玉仓, 曹磊,等. 毛细血管再充盈时间对脓毒性休克患者预后价值[J]. 微循环学杂志, 2023, 33(1): 71-75.
6 HAINES R W, ZOLFAGHARI P, WAN Y, et al. Elevated urea-to-creatinine ratio provides a biochemical signature of muscle catabolism and persistent critical illness after major trauma[J]. Intensive Care Med, 2019,45(12):1718-1731. doi:10.1007/s00134-019-05760-5
7 何力, 苏连久, 张婧,等. ICU內脓毒性休克急性肾损伤患者肾功能恢复的影响因素分析[J]. 中华危重急救医学, 2020,32(2):199-203.
8 BIYIKLI E, KAYIPMAZ A E, KAVALCI C. Effect of platelet-lymphocyte ratio and lactate levels obtained on mortality with sepsis and septic shock[J]. Am J Emerg Med, 2018,36(4):647-650. doi:10.1016/j.ajem.2017.12.010
9 SINGER M, DEUTSCHMAN C S, SEYMOUR C W, 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
10 LIU Y C, YAO Y, YU M M, et al. Frequency and mortality of sepsis and septic shock in China: a systematic review and meta-analysis[J]. BMC Infect Dis. 2022.doi: 10.1186/s12879-022-07543-8 .
11 KIM S M, RYOO S M, SHIN T G, et al. Korean Shock Society (KoSS) Investigators. Prognostic factors for late death in septic shock survivors: a multi-center, prospective, registry-based observational study[J]. Intern Emerg Med, 2022,17(3):865-871. doi:10.1007/s11739-021-02847-0
12 MESSERER D A C, HALBGEBAUER R, NILSSON B, et al. Immunopathophysiology of trauma-related acute kidney injury[J]. Nat Rev Nephrol, 2021,17(2):91-111. doi:10.1038/s41581-020-00344-9
13 VAN DER SLIKKE E C, STAR B S, VAN MEURS M, et al. Sepsis is associated with mitochondrial DNA damage and a reduced mitochondrial mass in the kidney of patients with sepsis-AKI[J]. Crit Care, 2021, 25(1):36. doi:10.1186/s13054-020-03424-1
14 陈丽娟,吴晓丽,秦海艳,等. 腹腔感染引起的脓毒性休克患者发生急性肾损伤的危险因素分析[J]. 实用医学杂志, 2021,37(4):477-481. doi:10.3969/j.issn.1006-5725.2021.04.012
15 BACIGALUPO A, ONETO R, BRUNO B, et al. Early predictors of transplant-related mortality (TRM) after allogeneic bone marrow transplants (BMT): blood urea nitrogen (BUN) and bilirubin[J]. Bone Marrow Transplant, 1999,24(6):653-659. doi:10.1038/sj.bmt.1701953
16 BLORIA S D, CHAUHAN R, SARNA R, et al. Comparison of APACHE II and APACHE IV score as predictors of mortality in patients with septic shock in intensive care unit: A prospective observational study[J]. J Anaesthesiol Clin Pharmacol, 2023,39(3):355-359. doi:10.4103/joacp.joacp_380_21
17 MORRIS E, MCCARTNEY D, LASSERSON D, et al. Point-of-care lactate testing for sepsis at presentation to health care: a systematic review of patient outcomes[J]. Br J Gen Pract, 2017,67(665): e859-e870. doi:10.3399/bjgp17x693665
18 ABDU M, WILSON A, MHANGO C, et al. Resource availability for the management of maternal sepsis in Malawi, other low-income countries, and lower-middle-income countries[J]. Int J Gynaecol Obstet, 2018,140(2):175-183. doi:10.1002/ijgo.12350
19 TANIGUCHI L U, AZEVEDO L C P, BOZZA F A, et al. Availability of resources to treat sepsis in Brazil: a random sample of Brazilian institutions[J]. Rev Bras Ter Intensiva, 2019,31(2):193-201. doi:10.5935/0103-507x.20190033
20 DONNELLY J P, SAFFORD M M, SHAPIRO N I, et al. Application of the Third International Consensus Definitions for Sepsis (Sepsis-3) Classification: a retrospective population-based cohort study[J]. Lancet Infect Dis, 2017,17(6):661-670. doi:10.1016/s1473-3099(17)30117-2
21 LIU Z, MENG Z, LI Y, et al. Prognostic accuracy of the serum lactate level, the SOFA score and the qSOFA score for mortality among adults with Sepsis[J]. Scand J Trauma Resusc Emerg Med, 2019, 27(1):51. doi:10.1186/s13049-019-0609-3
22 CHAARI A, ABDEL HAKIM K, BOUSSELMI K, et al. Pancreatic injury in patients with septic shock: A literature review[J]. World J Gastrointest Oncol, 2016,8(7):526-531. doi:10.4251/wjgo.v8.i7.526
23 陈城, 崔静, 纪小奇,等. 脓毒性休克并发急性肾损伤的危险因素研究[J]. 蚌埠医学院学报, 2021, 46(5): 639-641.
24 GUARRACINO F, BERTINI P, PINSKY M R. Cardiovascular determinants of resuscitation from sepsis and septic shock[J]. Crit Care, 2019, 23(1):118. doi:10.1186/s13054-019-2414-9
25 SIPAHIOGLU H, BAHCEBASI S. The Impact of Sequential Organ Failure Assessment (SOFA) Score on Mortality in Geriatric Patients With Sepsis and Septic Shock in the ICU[J]. Cureus,2022, 14(10):e30887
文章导航

/