SavedAdd your journal

Journals / Ulusal Travma ve Acil Cerrahi Dergisi / 2022 / Cilt: 28 - Sayı: 6

Mortality prediction models for severe burn patients: Which one is the best?

Hilmi Yazıcı
Ahmet Deniz Uçar
Ozan Namdaroglu
Mehmet Yıldırım
Pages
790–795
Publication Date
2022-11-08
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Keywords: ABSI; BAUX; BOBI

📌 3 Key Takeaways

🎯
Objective & Hypothesis:BACKGROUND: For prediction of mortality and clinical course, various scoring systems had been developed.
📊
Key Findings & Data:The primary outcome of this study was evaluate the predictive performances of this models and define the optimal one for our patient population.
💡
Conclusion & Impact:Keywords: ABSI; BAUX; BOBI
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

BACKGROUND: For prediction of mortality and clinical course, various scoring systems had been developed. We choose four well known burn specific scoring systems and a general scoring system that using in Intensive Care Units. The primary outcome of this study was evaluate the predictive performances of this models and define the optimal one for our patient population. METHODS: Variables analyzed were age, gender, burn type, total burned surface area (TBSA), total partial thickness burn area, total full thickness burn area, inhalation injuries, mechanical ventilation supports, blood products usage, total scores of Abbreviated Burn Severity Index (ABSI), revised Baux, Belgian Outcome in Burn Injury, Fatality by Longevity, Acute Physiology and Chronic Health Eval- uation II (APACHE II) score, Measured Extent of burn and Sex (FLAMES) and APACHE II, and their relations with mortality. RESULTS: In our study, a statistically significant relationship was found with mortality between age, TBSA, full thickness burn percent- age, inhalation injury, burn type, and it was similar to literature. Female gender was found to be a significant risk factor for mortality. CONCLUSION: We compared several burn mortality scoring systems and their predictional mortality rates. ABSI scores of patients for estimated mortality rates were similar to our mortality rate. Consequently, it was thought that ABSI was included all mortality-re- lated parameters. Keywords: ABSI; BAUX; BOBI

🔖

Cite This Article

Yazıcı, H., Uçar, A. D., Namdaroglu, O., Yıldırım, M. (2022). Mortality prediction models for severe burn patients: Which one is the best?. Ulusal Travma ve Acil Cerrahi Dergisi, Cilt: 28 - Sayı: 6, 790–795. https://ajindex.com/articles/655410

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Burn Incidence and Treatment in the United States: 2016. Am Burn Assoc; 2016. Available from: http://ameriburn.org/who-we-are/media/ burn-incidence-fact-sheet/. Accessed Nov 29, 2019
  2. Wagner DP, Draper EA. Acute physiology and chronic health evaluation (APACHE II) and Medicare reimbursement. Heal Care Financ Rev 1984;Suppl:91–105
  3. Osler T, Glance LG, Hosmer DW. Simplified estimates of the probability of death after burn injuries: Extending and updating the baux score. J Trauma Inj Infect Crit Care 2010;68:690–7
  4. Blot S, Brusselaers N, Monstrey S, Vandewoude K, De Waele JJ, Colpaert K, et al. Development and validation of a model for prediction of mortal- ity in patients with acute burn injury. Br J Surg 2009;96:111–7
  5. Gomez M, Wong DT, Stewart TE, Redelmeier DA, Fish JS. The FLAMES score accurately predicts mortality risk in burn patients. J Trauma Inj Infect Crit Care 2008;65:636–44
  6. Tobiasen J, Hiebert JM, Edlich RF. The abbreviated burn severity index. Ann Emerg Med 1982;11:260–2
  7. Colohan SM. Predicting prognosis in thermal burns with associated in- halational injury: A systematic review of prognostic factors in adult burn victims. J Burn Care Res 2010;31:529–39
  8. Dahal P, Ghimire S, Maharjan NK, Rai SM. Baux’s and abbreviated burn severity score for the prediction of mortality in patients with acute burn ınjury. J Coll Med Sci 2016;11:24–7
  9. Tian H, Wang L, Xie W, Shen C, Guo G, Liu J, et al. Epidemiologic and clinical characteristics of severe burn patients: Results of a retrospective multicenter study in China, 2011-2015. Burn Trauma 2018;6:1–11
  10. Hefny AF, Idris K, Eid HO, Abu-Zidan FM. Factors affecting mortality of critical care trauma patients. Afr Health Sci 2013;13:731–5
  11. Lip HT, Idris MA, Imran FH, Azmah TN, Huei TJ, Thomas M. Predic- tors of mortality and validation of burn mortality prognostic scores in a Malaysian burns intensive care unit. BMC Emerg Med 2019;19:1–7
  12. Jeschke MG, Pinto R, Kraft R, Nathens AB, Finnerty CC, Gamelli RL, et al. Morbidity and survival probability in burn patients in modern burn care. Crit Care Med 2015;43:808–15
  13. Walker PF, Buehner MF, Wood LA, Boyer NL, Driscoll IR, Lundy JB, et al. Diagnosis and management of inhalation injury: An updated review. Crit Care 2015;19:1–12
  14. Edelman DA, White MT, Tyburski JG, Wilson RF. Factors affecting prognosis of inhalation injury. J Burn Care Res 2006;27:848–53
  15. Kim Y, Kym D, Hur J, Yoon J, Yim H, Cho YS, et al. Does inhalation in