1887
Volume 2023, Issue 2
  • ISSN: 1999-7086
  • E-ISSN: 1999-7094

ملخص

The body of evidence on surgical intensive care unit (SICU) mortality and its predictors is still being determined. This study analyzed the significant predicting factors for mortality in SICU patients.

The medical records of patients in SICUs at Her Royal Highness Princess Maha Chakri Sirindhorn Medical Center, Srinakharinwirot University, from June 2020 to July 2021, were retrospectively reviewed. Patients were excluded if transferred from other hospitals and not undergoing orthopedics, otolaryngology, obstetrics, and gynecology surgeries.

A total of 276 patients admitted to SICUs were included in this analysis, and 60.5% were men. The mean age was 60.07 ± 17.19 years. The average length of SICU stay was 8.1 ± 10.79 days, and the mortality rate was 23.6%. By univariate analysis, significant predictive factors for mortality rate in SICU patients were acute physiology and chronic health evaluation II (APACHE II) ( < 0.001), Glasgow coma scale (GCS) ≤ 8 ( < 0.001), sequential organ failure assessment (SOFA) score ( < 0.001), serum albumin < 2.5 ( = 0.013), and sepsis or septic shock ( < 0.001). From receiver operating characteristics (ROC) curve analysis to predict mortality, the best cut-off point of APACHE II and SOFA scores were 15.5 and 5.5, respectively. The multivariate logistic regression analysis significantly identified APACHE II > 15, GCS ≤ 8 and SOFA score > 5 as significant predictive factors associated with the mortality rate in SICU patients.

APACHE II > 15, GCS ≤ 8, and SOFA score > 5 are predictive mortality factors in SICU patients. Patients with these factors should be given priority for admission to the SICU when there is a discrepancy between the demand and the supply for SICU beds.

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References

  1. Sprung CL, Joynt GM, Christian MD, Truog RD, Rello J, Nates JL. Adult ICU triage during the coronavirus disease 2019 pandemic: Who will live and who will die? Recommendations to improve survival. Crit Care Med. 2020 Aug; 48:(8):1196–202. doi:10.1097/CCM.0000000000004410.
    [Google الباحث العلمي]
  2. Simchen E, Sprung CL, Galai N, Zitser-Gurevich Y, Bar-Lavi Y, Gurman G, et al. Survival of critically ill patients hospitalized in and out of intensive care units under a paucity of intensive care unit beds. Crit Care Med. 2004; 32:(8):1654–61.
    [Google الباحث العلمي]
  3. Zhang Y, Zhang J, Du Z, Ren Y, Nie J, Wu Z, et al. Risk factors for 28-day mortality in a surgical ICU: A retrospective analysis of 347 cases. Risk Manag Healthc Policy. 2021; 14::1555–62. https://doi.org/10.2147/rmhp.s303514.
    [Google الباحث العلمي]
  4. Higgins AM, Neto AS, Bailey M, Barrett J, Bellomo R, Cooper DJ, et al.; PREDICT Study Investigators. Predictors of death and new disability after critical illness: A multicentre prospective cohort study. Intensive Care Med. 2021 Jul; 47:(7):772–81. doi:10.1007/s00134-021-06438-7.
    [Google الباحث العلمي]
  5. Sammy I, Lecky F, Sutton A, Leaviss J, O’Cathain A. Factors affecting mortality in older trauma patients-A systematic review and meta-analysis. Injury. 2016 Jun; 47:(6):1170–83. doi:10.1016/j.injury.2016.02.027.
    [Google الباحث العلمي]
  6. Ball IM, Bagshaw SM, Burns KEA, Cook DJ, Day AG, Dodek PM, et al. A clinical prediction tool for hospital mortality in critically ill elderly patients. J Crit Care. 2016 Oct; 35::206–12. doi:10.1016/j.jcrc.2016.05.026.
    [Google الباحث العلمي]
  7. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: A severity of disease classification system. Crit Care Med. 1985 Oct; 13:(10):818–29.
    [Google الباحث العلمي]
  8. Bahtouee M, Eghbali SS, Maleki N, Rastgou V, Motamed N. Acute Physiology and Chronic Health Evaluation II score for the assessment of mortality prediction in the intensive care unit: A single-centre study from Iran. Nurs Crit Care. 2019 Nov; 24:(6):375–80. doi:10.1111/nicc.12401.
    [Google الباحث العلمي]
  9. Hosseini M, Ramazani J. Comparison of acute physiology and chronic health evaluation II and Glasgow Coma Score in predicting the outcomes of Post Anesthesia Care Unit’s patients. Saudi J Anaesth. 2015 Apr-Jun; 9:(2):136–41. doi:10.4103/1658-354X.152839.
    [Google الباحث العلمي]
  10. Haq A, Patil S, Parcells AL, Chamberlain RS. The simplified acute physiology score III is superior to the simplified acute physiology score II and acute physiology and chronic health evaluation II in predicting surgical and ICU mortality in the “Oldest Old”. Curr Gerontol Geriatr Res. 2014; 2014::934852. doi:10.1155/2014/934852.
    [Google الباحث العلمي]
  11. Nagar VS, Sajjan B, Chatterjee R, Parab NM. The comparison of Apache II and Apache IV score to predict mortality in intensive care unit in a tertiary care hospital. Int J Res Med Sci [Internet]. 2019; 7:(5):1598–603.
    [Google الباحث العلمي]
  12. Tian Y, Yao Y, Zhou J, Diao X, Chen H, Cai K, et al. Dynamic APACHE II score to predict the outcome of intensive care unit patients. Front Med (Lausanne). 2022 Jan 26; 8::744907. doi:10.3389/fmed.2021.744907.
    [Google الباحث العلمي]
  13. Nik A, Andalibi MSS, Ehsaei M, Zarifian A, Karimiani EG, Bahadoorkhan G. The efficacy of Glasgow Coma Scale (GCS) score and Acute Physiology and Chronic Health Evaluation (APACHE) II for predicting hospital mortality of ICU patients with acute traumatic brain injury. Bull Emerg Trauma. 2018 Apr; 6:(2):141–5. doi:10.29252/beat-060208.
    [Google الباحث العلمي]
  14. Ramazani J, Hosseini M. Prediction of ICU mortality in critically ill children: Comparison of SOFA, GCS, and FOUR score. Med Klin Intensivmed Notfmed. 2019 Nov; 114:(8):717–23. doi: 10.1007/s00063-018-0484-0.
    [Google الباحث العلمي]
  15. Grmec Š, Gasparovic V. Comparison of APACHE II, MEES and Glasgow Coma Scale in patients with nontraumatic coma for prediction of mortality. Acute Physiology and Chronic Health Evaluation. Mainz Emergency Evaluation System. Crit Care. 2001; 5:(1):19–23. doi: 10.1186/cc973.
    [Google الباحث العلمي]
  16. Kim H, Kim JH. Evaluation of the clinical usefulness of critical patient severity classification system and Glasgow coma scale for neurological patients in intensive care units. Asian Nurs Res (Korean Soc Nurs Sci). 2013 Mar; 7:(1):8–15. doi:10.1016/j.anr.2013.01.002.
    [Google الباحث العلمي]
  17. Raith EP, Udy AA, Bailey M, McGloughlin S, MacIsaac C, Bellomo R, et al; Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcomes and Resource Evaluation (CORE). Prognostic accuracy of the SOFA score, SIRS criteria, and qSOFA score for in-hospital mortality among adults with suspected infection admitted to the intensive care unit. JAMA. 2017 Jan 17; 317:(3):290–300. doi:10.1001/jama.2016.20328.
    [Google الباحث العلمي]
  18. Vincent JL, de Mendonça A, Cantraine F, Moreno R, Takala J, Suter PM, et al. Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: Results of a multicenter, prospective study. Working group on “sepsis-related problems” of the European Society of Intensive Care Medicine. Crit Care Med. 1998 Nov; 26:(11):1793–800. doi:10.1097/00003246-199811000-00016.
    [Google الباحث العلمي]
  19. Jain A, Palta S, Saroa R, Palta A, Sama S, Gombar S. Sequential organ failure assessment scoring and prediction of patient’s outcome in Intensive Care Unit of a tertiary care hospital. J Anaesthesiol Clin Pharmacol. 2016 Jul-Sep; 32:(3):364–8. doi:10.4103/0970-9185.168165.
    [Google الباحث العلمي]
  20. Fuchs PA, Czech IJ, Krzych ŁJ. Mortality prediction using SOFA score in critically Ill surgical and non-surgical patients: Which parameter is the most valuable? Medicina (Kaunas). 2020 Jun; 56:(6):273. doi:10.3390/medicina56060273.
    [Google الباحث العلمي]
  21. Ferreira FL, Bota DP, Bross A, Mélot C, Vincent JL. Serial evaluation of the SOFA score to predict outcome in critically ill patients. JAMA. 2001 Oct 10; 286:(14):1754–8. doi:10.1001/jama.286.14.1754.
    [Google الباحث العلمي]
  22. Toker MK, Gülleroğlu A, Karabay AG, Biçer İG, Demiraran Y. SAPS III or APACHE IV: Which score to choose for acute trauma patients in intensive care unit? Ulus Travma Acil Cerrahi Derg. 2019 May; 25:(3):247–52. doi:10.5505/tjtes.2018.22866.
    [Google الباحث العلمي]
  23. Ko M, Shim M, Lee S-M, Kim Y, Yoon S. Performance of APACHE IV in Medical Intensive Care Unit Patients: Comparisons with APACHE II, SAPS 3, and MPM0 III. Acute Crit Care. 2018 Nov; 33:(4):216–21. doi:10.4266/acc.2018.00178.
    [Google الباحث العلمي]
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