Effects of growth trajectory of shock index within 24 h on the prognosis of patients with sepsis.

Fengshuo Xu, Luming Zhang, Tao Huang, Didi Han, Rui Yang, Shuai Zheng, Aozi Feng, Liying Huang, Haiyan Yin, Jun Lyu
Author Information
  1. Fengshuo Xu: Department of Intensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  2. Luming Zhang: Department of Intensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  3. Tao Huang: Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  4. Didi Han: School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
  5. Rui Yang: School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
  6. Shuai Zheng: School of Public Health, Shaanxi University of Chinese Medicine, Xianyang, China.
  7. Aozi Feng: Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  8. Liying Huang: Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  9. Haiyan Yin: Department of Intensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  10. Jun Lyu: Department of Intensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, China.

Abstract

Background: Sepsis is a serious disease with high clinical morbidity and mortality. Despite the tremendous advances in medicine and nursing, treatment of sepsis remains a huge challenge. Our purpose was to explore the effects of shock index (SI) trajectory changes on the prognosis of patients within 24 h after the diagnosis of sepsis.
Methods: This study was based on Medical Information Mart for Intensive Care IV (MIMIC- IV). The effects of SI on the prognosis of patients with sepsis were investigated using C-index and restricted cubic spline (RCS). The trajectory of SI in 24 h after sepsis diagnosis was classified by latent growth mixture modeling (LGMM). Cox proportional hazard model, double robust analysis, and subgroup analysis were conducted to investigate the influence of SI trajectory on in-hospital death and secondary outcomes.
Results: A total of 19,869 patients were eventually enrolled in this study. C-index showed that SI had a prognostic value independent of Sequential Organ Failure Assessment for patients with sepsis. Moreover, the results of RCS showed that SI was a prognostic risk factor. LGMM divided SI trajectory into seven classes, and patients with sepsis in different classes had notable differences in prognosis. Compared with the SI continuously at a low level of 0.6, the SI continued to be at a level higher than 1.0, and the patients in the class whose initial SI was at a high level of 1.2 and then declined had a worse prognosis. Furthermore, the trajectory of SI had a higher prognostic value than the initial SI.
Conclusion: Both initial SI and trajectory of SI were found to be independent factors that affect the prognosis of patients with sepsis. Therefore, in clinical treatment, we should closely monitor the basic vital signs of patients and arrive at appropriate clinical decisions on basis of their change trajectory.

Keywords

References

  1. Front Cardiovasc Med. 2021 May 19;8:683932 [PMID: 34095265]
  2. Resuscitation. 1992 Jun-Jul;23(3):227-34 [PMID: 1321482]
  3. Nat Rev Nephrol. 2018 Jul;14(7):417-427 [PMID: 29691495]
  4. Ann Intensive Care. 2021 Mar 10;11(1):42 [PMID: 33689042]
  5. J Trauma. 2011 Feb;70(2):384-8; discussion 388-90 [PMID: 21307738]
  6. J Trauma Acute Care Surg. 2019 Jul;87(1S Suppl 1):S159-S164 [PMID: 31246921]
  7. Crit Care. 2021 May 5;25(1):165 [PMID: 33952314]
  8. Intensive Care Med. 2018 Nov;44(11):1888-1895 [PMID: 30255318]
  9. Shock. 2008 Oct;30 Suppl 1:10-3 [PMID: 18704016]
  10. J Crit Care. 2020 Jun;57:5-12 [PMID: 32004778]
  11. Front Med (Lausanne). 2022 Jun 29;9:872725 [PMID: 35847795]
  12. Lancet Infect Dis. 2017 Nov;17(11):1180-1189 [PMID: 28826588]
  13. Intensive Care Med. 2018 Jun;44(6):884-892 [PMID: 29806057]
  14. Crit Care. 2020 Feb 18;24(1):57 [PMID: 32070393]
  15. Intensive Care Med. 2020 Aug;46(8):1552-1562 [PMID: 32572531]
  16. Int J Environ Res Public Health. 2020 Jul 07;17(13): [PMID: 32646021]
  17. Am J Emerg Med. 2020 May;38(5):911-915 [PMID: 31345593]
  18. Med J Malaysia. 2012 Aug;67(4):406-11 [PMID: 23082451]
  19. BMC Emerg Med. 2020 Oct 31;20(1):87 [PMID: 33129277]
  20. Acta Obstet Gynecol Scand. 2019 Sep;98(9):1178-1186 [PMID: 31001814]
  21. Crit Care Clin. 2000 Apr;16(2):319-36, vii [PMID: 10768084]
  22. Surg Infect (Larchmt). 2018 Feb/Mar;19(2):117-125 [PMID: 29447109]
  23. Lancet. 2018 Jul 7;392(10141):75-87 [PMID: 29937192]
  24. Mil Med Res. 2021 Aug 11;8(1):44 [PMID: 34380547]
  25. Endocr Metab Immune Disord Drug Targets. 2010 Sep;10(3):235-46 [PMID: 20597846]
  26. West J Emerg Med. 2014 Feb;15(1):60-6 [PMID: 24696751]
  27. BMJ. 2018 Jul 3;362:k2575 [PMID: 29970408]
  28. Anaesthesiol Intensive Ther. 2016;48(4):261-265 [PMID: 27660252]
  29. Ann Emerg Med. 2016 Jan;67(1):106-113.e6 [PMID: 26144893]
  30. Lancet. 2020 Jan 18;395(10219):200-211 [PMID: 31954465]
  31. J Am Heart Assoc. 2018 Sep 18;7(18):e007581 [PMID: 30371191]
  32. Front Med (Lausanne). 2021 Apr 22;8:648375 [PMID: 33968957]
  33. J Clin Epidemiol. 2004 Dec;57(12):1288-94 [PMID: 15617955]
  34. Dtsch Med Wochenschr. 1967 Oct 27;92(43):1947-50 [PMID: 5299769]
  35. J Clin Epidemiol. 1994 Nov;47(11):1245-51 [PMID: 7722560]

Word Cloud

Created with Highcharts 10.0.0SIsepsistrajectorypatientsprognosisgrowthclinicalshockindex24hprognosticlevelinitialhightreatmenteffectswithindiagnosisstudyIVC-indexRCSlatentmixturemodelingLGMManalysisshowedvalueindependentclasses0higher1Background:SepsisseriousdiseasemorbiditymortalityDespitetremendousadvancesmedicinenursingremainshugechallengepurposeexplorechangesMethods:basedMedicalInformationMartIntensiveCareMIMIC-investigatedusingrestrictedcubicsplineclassifiedCoxproportionalhazardmodeldoublerobustsubgroupconductedinvestigateinfluencein-hospitaldeathsecondaryoutcomesResults:total19869eventuallyenrolledSequentialOrganFailureAssessmentMoreoverresultsriskfactordividedsevendifferentnotabledifferencesComparedcontinuouslylow6continuedclasswhose2declinedworseFurthermoreConclusion:foundfactorsaffectThereforecloselymonitorbasicvitalsignsarriveappropriatedecisionsbasischangeEffects

Similar Articles

Cited By