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. 2022 Mar 31;35(1):41–45.

Risk Factors For Death And Prognosis Value Of Revised Baux Score For Burn Patients With Inhalation Injury

NN Lam 1,2,, NTN Minh 1
PMCID: PMC9020854  PMID: 35582096

Summary

A retrospective study was conducted on 314 burn patients with inhalation injury admitted to the National Burn Hospital during the period 2015-2019. The results showed that adult and male was predominant (81.9% and 77.7%), with burns mostly caused by flame (93.6%) and burn extent of 68.6±24.3% and deep burn area of 44.6±25.2% total body surface area. Rate of required mechanical ventilation patients was 95.22%. Common complications were multiple organ failure (41.9%), pneumonia (29.9%), ARDS (25.5%) and septic shock (23.8%), with a mortality rate of 85.4%. Multivariate logistic analysis indicated that burn extent and age were independent risk factors for death of patients with inhalation injury. SMR of rBaux score was 1.01 with AUC of 0.84, Youden index 113, sensitivity 82.09%, specificity 70.21%. The SMR of adult and elderly patients was relatively close to 1 (1 and .97 respectively). In addition, the AUC value for the elderly was highest (.95) followed by adult patients (.84). However, predicting the value of rBaux on children with inhalation injury was quite low (SMR=1.57; AUC = 0.4). There is a need to determine an optimal prognosis score for children with inhalation injury.

Keywords: inhalation injury, mortality, revised Baux score

Introduction

Management of inhalation injury is complicated and despite significant advances in early resuscitation, skin substitute, surgical intervention and enteral nutrition, the mortality rate of patients with inhalation injury has not progressed significantly for decades.1,2

Annually, over one million burns occur in the United States and about 20% suffer inhalation injury resulting in prolonged mechanical ventilation and increased mortality from 25% to 65% due to related complications such as pneumonia and acute respiratory distress syndrome (ARDS).3,4

The use of a prognosis score may help the health facility to evaluate and optimally use resources in burn care and therapy. Since it was first introduced in 1961, the Baux score has been used in most burn facilities to predict the death rate of burn patients.5 However, with the development of advanced technology, significant improvements have been achieved to reduce the mortality rate of burn patients. 6 Currently, the Baux score has been considered not appropriate. Based on that, the revised Baux score (rBaux), which was proposed by Osler in 2010 by adding inhalation injury as a score component besides age and burn extent, has been mostly applied in developed countries.7

To date, there have been few reports about characteristics and value of the rBaux score in burn patients with inhalation injury in developing countries.8,9 The objective of this study was to determine characteristics, factors influencing mortality and predictability of rBaux score in patients with inhalation injury at the National Burn Hospital, Hanoi, Viet Nam.

Materials and methods

A retrospective study was conducted on 314 burn patients with inhalation injury admitted to the burn intensive care unit, National Burn Hospital, Hanoi, Viet Nam during the period 2015-2019. Inhalation injury was diagnosed based on the circumstance of injury (burn occurred in closed space), clinical manifestations (facial burn, soot in mouth or pharynx, hoarseness and carbonaceous sputum) and confirmation by bronchoscopy during the first 3 days after burn. Treatment of inhalation injury included chest physiotherapy, aerosolized heparin and salbutamol every 4 hours and mechanical ventilation as indicated. The collection criteria included age, gender, causal agent, burn extent, full thickness burn area, comorbidity and cotrauma, length of mechanical ventilation, complications and death or survival. Relationships between mortality and related factors were analyzed by univariate and then regression analysis to determine the independent factors affecting mortality.

The rBaux score was calculated as follows:7

Age (years) + burned extent (%) + (17 x I) in which: I = 1 for patient with inhalation injury; I = 0 for patient without inhalation injury.

To assess the predictability of the rBaux score, we used the standard mortality ratio (SMR), the area below the curve (AUC) and the Youden index along with the sensitivity, specificity, accuracy level. The SMR was calculated as follows:10

SMR = (actual death number/predicted death number).

The number of predicted deaths was calculated by the number of patients with rBaux score of 100 or more. The meaning of SMR is explained as follows: the closer the SMR is to 1, the more accurate the prediction is:

  • SMR = 1 means the forecast is 100% accurate.

  • SMR <1 means predictability is higher than reality

  • SMR >1 means the predictability is lower than reality.

Data were collected, presented as mean or median (if unstandardized distribution) and analyzed using Stata software version 14.0, with p value <.05 regarded as the significant level. This study was approved by the hospital’s Committee for Human Research Ethics.

Results

During the period from 2015-2019, there were 3029 severe patients with burn extent from or over 20% total body surface area (TBSA) admitted to the National Burn Hospital. Of them 314 patients were diagnosed with inhalation injury, accounting for 10.4% (data not shown). Adults and males were predominant (81.9% and 77.7% respectively), with 26 (8.3%) patients with comorbidity. Average burn surface area was 68.6±24.3% TBSA and mean of deep burn area was 44.6±25.2% TBSA. It is noted that most patients underwent mechanical ventilation (95.2%). The median of mechanical ventilation time was 95.5 hours. The highest incidence of complication was multiple organ failure (42%), followed by pneumonia (29.9%), ARDS (25.5%) and septic shock (23.9%). Overall mortality rate was 85.4% (Table I).

Table I. Patient characteristics and burn features (n=314).

Table I

Univariate analysis of association between treatment outcomes and related factors is shown in Table II.

Table II. Relationship between mortality and parameters.

Table II

Compared to the survivor group, the non-survivors were significantly older and had larger burn extent and deep burn area (p < .005). The non-survivor group had a significantly higher rate of mechanical ventilation (87.3% vs. 12.7%; p < .01). It is also noted that gender, associated disease and duration of mechanical ventilation did not significantly affect mortality rate (p >.05).

Multivariate regression analysis indicated that only increased age and burn extent were independent factors for death (Table III). An increased 1% of burn extent resulted in a .03 probability unit of death (OR = 1.03) and that was .04 in the case of age (OR=1.04).

Table III. Multivariate analysis of death and relating factors.

Table III

Data from Table IV and Fig. 1 indicate that of 314 patients studied, 268 patients died with the standard mortality rate calculated according to the rBaux score of 1.01, AUC: 0.84, Youden index: 113 with sensitivity of 82.09%, specificity of 70.21% and an accuracy of 80.32%. Analysis by age groups showed that the SMR of adult and elderly patients was relatively close to 1 (1 and .97 respectively). In addition, the AUC value for the elderly was highest (.95) followed by adult patients (.84). For children, SMR was far from ideal (1.57) andAUC value was only 0.59.

Table IV. SMR and AUC for rBaux score according to age groups.

Table IV

Fig. 1. Overall AUC value of revised Baux score for mortality.

Fig. 1

Discussion

Inhalation injury is classified as severe burn with three main types of injury, including heat injury to upper airway, lower airway and alveoli injury due to combustion products, chemical irrigation and systemic toxicity of carbon monoxide and cyanide.11,12

Worldwide, the incidence of inhalation injury is reported in 5-30% of total burn patients.13 Inhalation injury was noted in about one-third of all burn cases and responsible for about 90% of deaths among burn patients. 14,15 In 2017, the American Burn Association reported that the incidence of inhalation injury was about 10.3% of burn patients.3 In our study, about one in ten severely burned patients (10.4%) suffered inhalation injury.

Despite advances in early diagnosis and active management, the mortality rate for inhalation injury is still high and has been confirmed as one of the predictors of death amongst burn patients.16 According to previous reports, the mortality rate of burn patients with inhalation injury was 20% higher than that of patients who did not suffer inhalation injury.17 In addition, if secondary pneumonia develops, the mortality rate is 60% higher.18 A study by Kadri et al. indicated that among patients with inhalation injury, age >60 years old and burn extent >20% TBSA were risk factors for death in patients who developed acute lung injury after inhalation injury.19 It is also noted that inhalation injury is often present in patients with larger burn extent. In our study, patients with inhalation injury had a burn surface area over 60% TBSA or deep burn area over 40% TBSA. It explained why the mortality rate was high (85.35%). Current study also indicated that increase in burn extent and age are independent factors affecting mortality in patients with inhalation injury.

An optimal prognosis score should meet required conditions, including high degree of accuracy, simplicity, and ease of application. Following the Baux score, a number of predictive scales have been introduced. The abbreviated burn severity index (ABSI) score was introduced in 1982 by Tobiasen and colleagues.20 This model used age, gender, burn extent, inhalation injury and the presence of deep burn to predict mortality rate. In 1998, Ryal introduced a score using three factors, namely age, burn surface area and inhalation injury.17 The model of McGwin and colleagues in 2008 used age, burn extent and inhalation injury, co-trauma and pneumonia.21 Other prognosis scores include the FLAMES score (2009) and the BOBI score (2009).22,23 However, due to being complicated, the clinical use of these scores is still limited. Meanwhile, the Baux score is simple, easy to apply in clinical practice and has been used in predicting outcome for burn patients around the world. The AUC is one of the criteria to evaluate the prognosis level of the scale and most authors consider AUC of 0.9 and above as highly accurate.24 Since the rBaux Score was introduced by Osler, numerous reports have been published about the prognosis value of this score using AUC value.25,26,27 Panter et al. evaluated prognosis value of prognosis scores on 492 burns in the intensive care unit (ICU) and found that rBaux was the best prognosis score with AUC of 0.919.28 Dokter and colleagues studied 4389 burn patients and concluded that the rBaux score was simple and accurate with a higher predictive value of death than the Baux score (AUC: 0.96 compared to 0.81).29 Lip et al. also demonstrated that the rBaux score had the best AUC value of 0.94 to predict burns mortality.9 Study by Halgas et al. also concluded that the rBaux score was both accurate and easy to calculate.30 In our study, SMR of the rBaux score was closer to 1 so in general, the rBaux score has accurate predictive value.

It is noted that the application of prognosis scores in practice shows the difference in accuracy of prognosis scores between different age groups. Current study indicated that for pediatric burn patients, the prognosis value of rBaux score is less accurate and this should be considered when clinically applied. Taylor et al. indicated that the “one size fits all” models for predicting outcomes do not accurately reflect the outcomes for seniors and children with burns.31 Children are not small adults, their functions and organs are not fully developed, so the morbidity is often severe and outcomes are not the same as for adults. Study by Spies and coworkers on pediatric burn patients found that if all variables were integrated into the predictive model, the results were predicted with 97% accuracy. However, if only using demographic characteristics including age, burn extent and inhalation injury, the results were predicted with an accuracy of only 51%.32 It is also noted that Osler et al., when proposing the rBaux score, acknowledged the different predictive accuracy of this formula across different age groups.7 Because the number of childhood inhalation injuries in our study as well as that of other studies was quite small, it is necessary to have studies with larger sample sizes to get accurate conclusions. Therefore, the application of the prognostic scale may have to pay attention to the appropriate age groups.

Conclusion

We have shown that the mortality rate of patients with inhalation injury is still very high. An increased burn extent and age are independent factors for death. The rBaux score is only accurate in patients with inhalation injury among the elderly and acceptable in adult patients. There is a need for research to build a prognosis score for children with inhalation injury.

References

  • 1.Colohan SM. Predicting prognosis in thermal burns with associated inhalational injury: a systematic review of prognostic factors in adult burn victims. J Burn Care Res. 2010;31:529–539. doi: 10.1097/BCR.0b013e3181e4d680. [DOI] [PubMed] [Google Scholar]
  • 2.Chen MC, Chen MH, Wen BS, Lee MH, Ma H. The impact of inhalation injury in patients with small and moderate burns. Burns. 2014;40(8):1481–1486. doi: 10.1016/j.burns.2014.06.016. [DOI] [PubMed] [Google Scholar]
  • 3.Burn Incidence Fact Sheet: American Burn Association; 2016 National Burn Repository. American Burn Association. 2017 [Google Scholar]
  • 4.Sheridan RL. Fire-related inhalation injury. N Engl J Med. 2016;375(5):464–469. doi: 10.1056/NEJMra1601128. [DOI] [PubMed] [Google Scholar]
  • 5.Baux S. Contribution à l’étude du traitement local des brûlures thermiques étendues. AGEMP. 1961 [Google Scholar]
  • 6.Roberts G, Lloyd M, Parker M, Martin R. The Baux score is dead. Long live the Baux score: a 27-year retrospective cohort study of mortality at a regional burns service. J Trauma Acute Care Surg. 2012;72(1):251–256. doi: 10.1097/TA.0b013e31824052bb. [DOI] [PubMed] [Google Scholar]
  • 7.Osler T, Glance LG, Hosmer DW. Simplified estimates of the probability of death after burn injuries: extending and updating the baux score. J Trauma Acute Care Surg. 2010;68(3):690–697. doi: 10.1097/TA.0b013e3181c453b3. [DOI] [PubMed] [Google Scholar]
  • 8.Karimi H, Motevalian S-A, Rabbani A, Motabar A-R. R-baux score to be applied in children (pediatrics-baux score). Iran J Pediatr. 2013;23(2):165–165. [PMC free article] [PubMed] [Google Scholar]
  • 9.Lip HTC, Idris MAM, Imran F-H, Nur’Azmah T. Predictors of mortality and validation of burn mortality prognostic scores in a Malaysian burns intensive care unit. BMC Emerg Med. 2019;19(1):66–66. doi: 10.1186/s12873-019-0284-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.New Mexico’s indicator-based Information System (NM-IBIS): Standardised mortality ratio. [Accessed 11/2/ 2021]; available from https://ibis.health.state.nm.us/resource/SMR_ISR.html . [Google Scholar]
  • 11.Woodson CL. Herndon DN. Total Burn Care, 4th ed. New York: Saunders Elsevier; 2009. Diagnosis and treatment of inhalation injury. [Google Scholar]
  • 12.Dries DJ, Endorf FW. Inhalation injury: epidemiology, pathology, treatment strategies. Scand J Trauma Resusc Emerg Med. 2013;21:31–31. doi: 10.1186/1757-7241-21-31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Enkhbaatar P, Pruitt BA, Suman O, Mlcak R. Pathophysiology, research challenges, and clinical management of smoke inhalation injury. Lancet. 2016;338:1437–1446. doi: 10.1016/S0140-6736(16)31458-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Tan A, Smailes S, Friebel T, Magdum A. Smoke inhalation increases intensive care requirements and morbidity in paediatric burns. Burns. 2016;42(5):1111–1115. doi: 10.1016/j.burns.2016.02.010. [DOI] [PubMed] [Google Scholar]
  • 15.Veeravagu A, Yoon BC, Jiang B. National trends in burn and inhalation injury in burn patients: results of analysis of the Nationwide Inpatient Sample database. J Burn Care Res. 2015;36:258–265. doi: 10.1097/BCR.0000000000000064. [DOI] [PubMed] [Google Scholar]
  • 16.Gigengack RK, Cleffken BI, Loer SA. Advances in airway management and mechanical ventilation in inhalation injury. Current Opinion in Anesthesiology. 2020;33(6):774–780. doi: 10.1097/ACO.0000000000000929. [DOI] [PubMed] [Google Scholar]
  • 17.Ryan CM, Schoenfeld DM, Thorpe WP, Sheridan RL. Objective estimates of the probability of death from burn injuries. N Engl J Med. 1998;338(6):362–366. doi: 10.1056/NEJM199802053380604. [DOI] [PubMed] [Google Scholar]
  • 18.Shirani KZ, Pruitt BA Jr, Mason AD Jr. The influence of inhalation injury and pneumonia on burn mortality. Ann Surg. 1987;205:82–87. doi: 10.1097/00000658-198701000-00015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Kadri SS, Miller AC, Hohmann S, Bonne S. US Critical Illness and Injury Trials Group. Risk factors for in-hospital mortality in smoke inhalation-associated acute lung injury: data from 68 United States hospitals. Chest. 2016;150:1260–1260. doi: 10.1016/j.chest.2016.06.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Tobiasen J, Hiebert JM, Edlich RF. The abbreviated burn severity score. Ann Emerg Med. 1982;11(5):260–262. doi: 10.1016/s0196-0644(82)80096-6. [DOI] [PubMed] [Google Scholar]
  • 21.McGwin G Jr, George RL, Cross JM, Rue LW. Improving the ability to predict mortality among burn patients. Burns. 2008;34(3):320–327. doi: 10.1016/j.burns.2007.06.003. [DOI] [PubMed] [Google Scholar]
  • 22.Gomez M, Wong DT, Stewart TE, Redelmeier DA, Fish JS. The FLAMES score accurately predicts mortality risk in burn patients. J Trauma. 2008;65(3):636–645. doi: 10.1097/TA.0b013e3181840c6d. [DOI] [PubMed] [Google Scholar]
  • 23.Belgian Outcome in Burn Injury Study Group: Development and validation of a model for prediction of mortality in patients with acute burn injury. Br J Surgery. 2009;96(1):111–117. doi: 10.1002/bjs.6329. [DOI] [PubMed] [Google Scholar]
  • 24.Steinvall I, Elmasry M, Fredrikson M, Sjoberg F. Standardised mortality ratio based on the sum of age and percentage total body surface area burned is an adequate quality indicator in burn care: an exploratory review. Burns. 2016;42(1):28–40. doi: 10.1016/j.burns.2015.10.032. [DOI] [PubMed] [Google Scholar]
  • 25.Heng JS, Clancy O, Atkins J, Leon-Villapalos J. Revised Baux Score and updated Charlson comorbidity score are independently associated with mortality in burns intensive care patients. Burns. 2015;41(7):1420–1427. doi: 10.1016/j.burns.2015.06.009. [DOI] [PubMed] [Google Scholar]
  • 26.Hussain A, Choukairi F, Dunn K. Predicting survival in thermal injury: a systematic review of methodology of composite prediction models. Burns. 2013;39(5):835–850. doi: 10.1016/j.burns.2012.12.010. [DOI] [PubMed] [Google Scholar]
  • 27.Muller M, Pegg S, Rule M. Determinants of death following burn injury. Br J Surg. 2001;88(49:583–587. doi: 10.1046/j.1365-2168.2001.01726.x. [DOI] [PubMed] [Google Scholar]
  • 28.Pantet O, Faouzi M, Brusselaers N, Vernay A, Berger M. Comparison of mortality prediction models and validation of SAPS II in critically ill burns patients. Ann Burns Fire Disasters. 2016;29(2):123–123. [PMC free article] [PubMed] [Google Scholar]
  • 29.Dokter J, Meijs J, Oen IM, van Baar ME. External validation of the revised Baux score for the prediction of mortality in patients with acute burn injury. J Trauma Acute Care Surg. 2014;76(3):840–845. doi: 10.1097/TA.0000000000000124. [DOI] [PubMed] [Google Scholar]
  • 30.Halgas B, Bay C, Foster K. A comparison of injury scoring systems in predicting burn mortality. Ann Burns Fire Disasters. 2018;32(2):89–89. [PMC free article] [PubMed] [Google Scholar]
  • 31.Taylor SL, Lawless M, Curri T, Sen S. Predicting mortality from burns: the need for age-group specific models. Burns. 2014;40(6):1106–1115. doi: 10.1016/j.burns.2014.03.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Spies M, Herndon DN, Rosenblatt JI, Sanford AP, Wolf SE. Prediction of mortality from catastrophic burns in children. The Lancet. 2003;361(9362):):989–994. doi: 10.1016/S0140-6736(03)12824-3. [DOI] [PubMed] [Google Scholar]

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