Volume 38 Issue 2
Feb.  2022
Turn off MathJax
Article Contents
Xie ZQ,Guo GH,Yang Z,et al.Comparative study of three scores in predicting the death risk of severe burn patients[J].Chin J Burns Wounds,2022,38(2):184-189.DOI: 10.3760/cma.j.cn501120-20201113-00473.
Citation: Xie ZQ,Guo GH,Yang Z,et al.Comparative study of three scores in predicting the death risk of severe burn patients[J].Chin J Burns Wounds,2022,38(2):184-189.DOI: 10.3760/cma.j.cn501120-20201113-00473.

Comparative study of three scores in predicting the death risk of severe burn patients

doi: 10.3760/cma.j.cn501120-20201113-00473
Funds:

Applied Cultivation Program of Jiangxi Science and Technology Department 20181BBG78028

Key Research and Development Program of Jiangxi Science and Technology Department 20192BBGL70016

More Information
  • Corresponding author: Yang Zhen, Email: 64243156@qq.com
  • Received Date: 2020-11-13
  •   Objective  To explore the predictive values of the modified Baux score, Belgian Outcome in Burn Injury score, and Ryan score on the death risk of severe burn patients.  Methods  A retrospective case series study was conducted. From February 2018 to November 2019, 260 severe burn patients who met the inclusion criteria were admitted to the Department of Burns of the First Affiliated Hospital of Nanchang University, including 158 males and 102 females, aged 36 (3, 53) years. According to the final outcome, the patients were divided into survival group (n=229) and death group (n=31). Data of patients were compared and statistically analyzed with chi-square test or Mann-Whitney U test between the two groups, including the gender, age, cause of burn, site of burn, total burn area, depth of burn, combined inhalation injury, and combined underlying diseases on admission, and the modified Baux score, Belgian Outcome in Burn Injury score, and Ryan score calculated based on part of the aforementioned data. The Kendall tau-b coefficient method was used to analyze the consistency of the above-mentioned three scores in 260 severe burn patients. The receiver operating characteristic (ROC) curves of the above-mentioned three scores predicting the death risk of 260 severe burn patients were drawn, and the area under the curve (AUC), the optimal threshold, and the sensitivity and specificity under the optimal threshold were calculated. The quality of AUC of the above-mentioned three scores was compared by Delong test.  Results  The gender, site of burn, and depth of burn of patients between the two groups were all similar (P>0.05). The age, total burn area, proportion of flame burn, proportion of combined inhalation injury, and proportion of combined underlying diseases of patients in death group were significantly higher than those in survival group (with Z values of 5.53 and 17.78, respectively, χ2 values of 16.23, 15.89, and 17.78, respectively, P<0.01); the modified Baux score, Belgian Outcome in Burn Injury score, and Ryan score of patients in death group were 142 (115, 155), 7 (5, 7), 2 (2, 3), all significantly higher than 64 (27, 87), 1 (0, 3), 0 (0, 1) in survival group (with Z values of 7.91, 7.64, and 7.61, respectively, P<0.01). In 260 severe burn patients, the results between the modified Baux score and Ryan score, modified Baux score and Belgian Outcome in Burn Injury score, Ryan score and Belgian Outcome in Burn Injury score were significantly consistent (with Kendall tau-b coefficients of 0.75, 0.71, and 0.86, respectively, P<0.01). The AUCs of ROC curves of the modified Baux score, Belgian Outcome in Burn Injury score, and Ryan score for predicting the death risk of 260 severe burn patients were 0.92, 0.89, and 0.85, respectively (with 95% confidence intervals of 0.86-0.98, 0.83-0.95, and 0.78-0.93, respectively, P<0.01); the optimal thresholds were 106.5, 4.5, and 1.5 points, respectively; the sensitivity under the optimal threshold were 88.5%, 76.9%, and 73.1%, respectively, and the specificity under the optimal threshold were 88.5%, 87.2%, and 86.3%, respectively. The modified Baux score was similar to Belgian Outcome in Burn Injury score in the AUC quality (z=1.25, P>0.05), which were both significantly better than the AUC quality of Ryan score (with z values of 2.35 and 2.11, respectively, P<0.05).  Conclusions  The modified Baux score, Belgian Outcome in Burn Injury score, and Ryan score have good ability in predicting the death risk of severe burn patients. From the perspective of clinical practice, the modified Baux score is more suitable as a predictive tool for the prognosis of severe burn patients.

     

  • loading
  • [1]
    TsurumiA,QueYA,YanS,et al.Do standard burn mortality formulae work on a population of severely burned children and adults?[J].Burns,2015,41(5):935-945.DOI: 10.1016/j.burns.2015.03.017.
    [2]
    SheridanRL.Burn care: results of technical and organizational progress[J].JAMA,2003,290(6):719-722.DOI: 10.1001/jama.290.6.719.
    [3]
    曾庆玲,王庆梅,陶利菊,等.特重度烧伤患者死亡风险列线图预测模型的建立及预测价值[J].中华烧伤杂志,2020,36(9):845-852.DOI: 10.3760/cma.j.cn501120-20190620-00280.
    [4]
    SaffleJR.Predicting outcomes of burns[J].N Engl J Med,1998,338(6):387-388.DOI: 10.1056/NEJM199802053380610.
    [5]
    LipHTC,IdrisMAM,ImranFH,et al.Predictors of mortality and validation of burn mortality prognostic scores in a Malaysian burns intensive care unit[J].BMC Emerg Med,2019,19(1):66.DOI: 10.1186/s12873-019-0284-8.
    [6]
    OslerT,GlanceLG,HosmerDW.Simplified estimates of the probability of death after burn injuries: extending and updating the baux score[J].J Trauma,2010,68(3):690-697.DOI: 10.1097/TA.0b013e3181c453b3.
    [7]
    RyanCM,SchoenfeldDA,ThorpeWP,et al.Objective estimates of the probability of death from burn injuries[J].N Engl J Med,1998,338(6):362-366.DOI: 10.1056/NEJM199802053380604.
    [8]
    SalehiSH, As'adiK, Abbaszadeh-KasbiA, et al. Comparison of six outcome prediction models in an adult burn population in a developing country[J]. Ann Burns Fire Disasters, 2017, 30(1): 13-17.
    [9]
    PrasadA,ThodeHCJr,SingerAJ.Predictive value of quick SOFA and revised Baux scores in burn patients[J].Burns,2020,46(2):347-351.DOI: 10.1016/j.burns.2019.03.006.
    [10]
    樊钧豪,孙义方,伍国胜,等.基于改良全身炎症反应综合征评分建立的联合预测模型对大面积烧伤患者入院早期死亡风险的预测价值[J].中华烧伤杂志,2020,36(1):42-47.DOI: 10.3760/cma.j.issn.1009-2587.2020.01.008.
    [11]
    TsaiSY,LioCF,YaoWC,et al.Cost-drivers of medical expenses in burn care management[J].Burns,2020,46(4):817-824.DOI: 10.1016/j.burns.2020.01.004.
    [12]
    Belgian Outcome in Burn Injury Study Group.Development and validation of a model for prediction of mortality in patients with acute burn injury[J].Br J Surg,2009,96(1):111-117.DOI: 10.1002/bjs.6329.
    [13]
    BrusselaersN,AgbenorkuP,Hoyte-WilliamsPE.Assessment of mortality prediction models in a Ghanaian burn population[J].Burns,2013,39(5):997-1003.DOI: 10.1016/j.burns.2012.10.023.
    [14]
    ChristofidesC,MooreR,NelM.Baux score as a predictor of mortality at the CHBAH Adult Burns Unit[J].J Surg Res,2020,251:53-62.DOI: 10.1016/j.jss.2020.01.018.
    [15]
    罗茉莉,郑建锋.实践教学中如何快速准确计算烧伤面积[J].当代护士(上旬刊),2019,26(4):158-159.DOI: 10.3969/j.issn.1006-6411.2019.04.078.
    [16]
    李乐之,路潜.外科护理学[M].6版.北京:人民卫生出版社,2017.
    [17]
    LamNN,DucNM,HungNT.Influence of pre-existing medical condition and predicting value of modified Elixhauser comorbidity index on outcome of burn patients[J].Burns,2020,46(2):333-339.DOI: 10.1016/j.burns.2019.08.004.
    [18]
    XuY,JinX,ShaoX,et al.Valuable prognostic indicators for severe burn sepsis with inhalation lesion: age, platelet count, and procalcitonin[J/OL].Burns Trauma,2018,6:29[2020-11-13]. https://pubmed.ncbi.nlm.nih.gov/30397617/. DOI: 10.1186/s41038-018-0132-1.
    [19]
    NygaardRM,EndorfFW.Nonmedical factors influencing early deaths in burns: a study of the National Burn Repository[J].J Burn Care Res,2020,41(1):3-7.DOI: 10.1093/jbcr/irz139.
    [20]
    朱丹,曹钰,何亚荣,等.4种评分对成人重度热力烧伤患者的死亡风险预测价值[J].西部医学,2015,27(12):1788-1791.DOI: 10.3969/j.issn.1672-3511.2015.12.008.
    [21]
    ChenCC,ChenLC,WenBS,et al.Objective estimates of the probability of death in acute burn injury: a proposed Taiwan burn score[J].J Trauma Acute Care Surg,2012,73(6):1583-1589.DOI: 10.1097/TA.0b013e318265ff5a.
    [22]
    RontoyanniVG, MalagarisI, HerndonDN, et al. Skeletal muscle mitochondrial function is determined by burn severity, sex, and sepsis, and is associated with glucose metabolism and functional capacity in burned children[J]. Shock,2018,50(2):141-148. DOI: 10.1097/SHK.0000000000001074.
    [23]
    JeschkeMG, PintoR, CostfordSR, et al. Threshold age and burn size associated with poor outcomes in the elderly after burn injury[J]. Burns,2016,42(2):276-281. DOI: 10.1016/j.burns.2015.12.008.
    [24]
    FitriA, SaputraD, PutraAE. Perbandingan R-Baux score dengan BOBI score sebagai prediktor mortalitas pasien luka bakar di RSUP Dr. M. Djamil Padang[J]. Majalah Kedokteran Bandung, 2018,50(2):79-85. DOI: 10.15395/mkb.v50n2.1326.
    [25]
    WilliamsDJ,WalkerJD.A nomogram for calculation of the Revised Baux Score[J].Burns,2015,41(1):85-90.DOI: 10.1016/j.burns.2014.05.001.
    [26]
    YoshimuraY,SaitohD,YamadaK,et al.Comparison of prognostic models for burn patients: a retrospective nationwide registry study[J].Burns,2020,46(8):1746-1755.DOI: 10.1016/j.burns.2020.10.008.
    [27]
    SaadatGH,ToorR,MazharF,et al.Severe burn injury: body mass index and the Baux score[J].Burns,2021,47(1):72-77.DOI: 10.1016/j.burns.2020.10.017.
    [28]
    HalgasB,BayC,FosterK.A comparison of injury scoring systems in predicting burn mortality[J].Ann Burns Fire Disasters,2018,31(2):89-93.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(1)  / Tables(5)

    Article Metrics

    Article views (323) PDF downloads(44) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return