Wang HN,He YL,Tan R,et al.Comparison of the Phoenix scoring system and commonly used pediatric sepsis scores in predicting mortality risk in pediatric patients with severe sepsis under traditional standards[J].Chin J Burns Wounds,2025,41(3):222-231.DOI: 10.3760/cma.j.cn501225-20240613-00229.
Citation: Wang HN,He YL,Tan R,et al.Comparison of the Phoenix scoring system and commonly used pediatric sepsis scores in predicting mortality risk in pediatric patients with severe sepsis under traditional standards[J].Chin J Burns Wounds,2025,41(3):222-231.DOI: 10.3760/cma.j.cn501225-20240613-00229.

Comparison of the Phoenix scoring system and commonly used pediatric sepsis scores in predicting mortality risk in pediatric patients with severe sepsis under traditional standards

doi: 10.3760/cma.j.cn501225-20240613-00229
Funds:

Key Project of the Medical Technologies Development Program of Nanjing YKK23164

More Information
  • Corresponding author: Miao Hongjun, Email: jun848@126.com
  • Received Date: 2024-06-13
  •   Objective  To explore the differences between the Phoenix sepsis scoring system including Phoenix sepsis score (PSS) and Phoenix-8 organ dysfunction score (hereinafter referred to as Phoenix-8) and the commonly used pediatric sepsis scores in evaluating clinical characteristics and prognostic analysis of pediatric patients with severe sepsis diagnosed under traditional standards, namely the diagnostic criteria from the 2005 International Pediatric Sepsis Consensus Conference.  Methods  This study was a retrospective observational study. From December 2020 to March 2023, 202 pediatric patients with severe sepsis meeting the inclusion criteria were admitted to the Children's Hospital of Nanjing Medical University. Based on the sepsis diagnostic criteria outlined in the International Consensus Criteria for Pediatric Sepsis and Septic Shock (2024), the pediatric patients were categorized into a sepsis group and a non-sepsis group. Sepsis group was further subdivided into a death subgroup and a survival subgroup based on the outcomes. The age, hospitalization costs, disease outcome indicators (e.g., mortality rate and incidence of septic shock), major organ (e.g., heart, liver, lungs, and kidneys) damage and their correlations, as well as PSS, Phoenix-8 and commonly used pediatric sepsis scores (e.g., pediatric sequential organ failure assessment (pSOFA), pediatric risk of mortality score Ⅲ (PRISM Ⅲ), pediatric logistic organ dysfunction-2 score (PELOD-2), pediatric multiple organ dysfunction score (P-MODS), pediatric critical illness score (PCIS), and pediatric early warning score (PEWS)) were collected and compared. Receiver operating characteristic (ROC) curve and precision-recall curve were plotted to evaluate the predictive ability of PSS, Phoenix-8, and commonly used pediatric sepsis scores for mortality risk in pediatric patients with severe sepsis under traditional standards. Predictive performance was quantified using the area under the ROC curve (AUROC). Univariate logistic regression analysis was employed to quantify the odds ratios of PSS and Phoenix-8 for predicting mortality risk. Patients with severe sepsis under traditional standards were further stratified into subgroups based on complications and comorbidities, including central nervous system (CNS) diseases, multiple infections, cardiovascular system diseases, shock, and malignancies. The Hosmer-Lemeshow goodness-of-fit test was used to assess calibration of PSS and Phoenix-8, and the DeLong test was used to compare whether there were statistically significant differences in the AUROC of PSS and Phoenix-8 for predicting mortality risk among different subgroups of pediatric patients.  Results  Compared with those in non-sepsis group, pediatric patients in sepsis group were significantly older (Z=-2.92, P<0.05) with higher incidences of septic shock and mortality, hospitalization costs, PRISM Ⅲ, PEWS, pSOFA, PELOD-2, PSS, and Phoenix-8 (with χ² values of 21.28 and 13.64, respectively, Z values of -1.99, -5.33, -5.10, -8.55, -6.91, -10.98, and -9.93, respectively, P<0.05), and lower PCIS (Z=-3.34, P<0.05). Compared with those in survival subgroup, hospitalization costs, PSS, Phoenix-8, PRISM Ⅲ, PEWS, pSOFA, PELOD-2, and P-MODS of pediatric patients in death subgroup was significantly higher (with Z values of -2.50, -3.50, -2.47, -5.11, -3.84, -2.94, -3.61, and -3.04, respectively, P<0.05). Compared with those in survival subgroup, the incidences of lung damage and liver damage of pediatric patients in death subgroup were also significantly higher (with χ² values of 6.20 and 10.94, respectively, P<0.05), and 64.7% (97/150) of patients exhibited two or more concurrent organ damage. For predicting mortality risk in pediatric patients with severe sepsis under traditional standards, the AUROC values for PRISM Ⅲ, PCIS, PEWS, pSOFA, PELOD-2, P-MODS, PSS, and Phoenix-8 were approximately 0.70, with optimal cutoff values of 17.5, 91.0, 5.5, 4.5, 2.5, 4.5, 3.5, and 4.5, respectively; PELOD-2 demonstrated the highest sensitivity (0.83); while PRISM Ⅲ, PSS, and Phoenix-8 showed high specificity (>0.80). Univariate logistic regression analysis showed that for every 1-point increase in the PSS within 24 hours of pediatric intensive care unit admission, the relative risk of mortality increased by 63.7% (with odds ratio of 1.64, 95% confidence interval of 1.34-1.99, P<0.05). Similarly, for every 1-point increase in the Phoenix-8, the relative risk of mortality increased by 37.5% (with odds ratio of 1.38, 95% confidence interval of 1.18-1.60, P<0.05). The AUROC values (around 0.80) of PSS and Phoenix-8 for predicting mortality risk in pediatric patients with severe sepsis combined with CNS diseases, multiple infections, and cardiovascular system diseases were relatively high. In contrast, the AUROC values (0.60-0.80) for predicting mortality risk in pediatric patients with severe sepsis combined with shock or malignant tumors were moderate. All models passed the Hosmer-Lemeshow goodness-of-fit test (P>0.05). The DeLong test indicated no statistically significant differences in predictive ability between PSS and Phoenix-8 across subgroups of pediatric patients (P>0.05).  Conclusions  PSS and Phoenix-8 exhibited higher specificity than most of the commonly used pediatric sepsis scores in predicting mortality risk under traditional standards. Both scores performed much better in predicting the mortality risk in pediatric patients with severe sepsis combined with CNS diseases, multiple infections, and cardiovascular system diseases.

     

  • [1]
    CajanderS, KoxM, SciclunaBP, et al. Profiling the dysregulated immune response in sepsis: overcoming challenges to achieve the goal of precision medicine[J]. Lancet Respir Med, 2024,12(4):305-322. DOI: 10.1016/S2213-2600(23)00330-2.
    [2]
    姚咏明, 张卉, 董宁. 脓毒症分型:精准治疗之基石[J].中华烧伤与创面修复杂志,2024,40(10):915-919. DOI: 10.3760/cma.j.cn501225-20240529-00203.
    [3]
    RuddKE, JohnsonSC, AgesaKM, et al. Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study[J]. Lancet, 2020,395(10219):200-211. DOI: 10.1016/S0140-6736(19)32989-7.
    [4]
    潘选良, 朱志康, 沈涛, 等. 特重度烧伤患者发生脓毒症与死亡的流行病学特点和危险因素[J].中华烧伤与创面修复杂志,2023,39(6):558-564. DOI: 10.3760/cma.j.cn501225-20220806-00336.
    [5]
    GoldsteinB, GiroirB, RandolphA, et al. International pediatric sepsis consensus conference: definitions for sepsis and organ dysfunction in pediatrics[J]. Pediatr Crit Care Med, 2005,6(1):2-8. DOI: 10.1097/01.PCC.0000149131.72248.E6.
    [6]
    MaticsTJ, Sanchez-PintoLN. Adaptation and validation of a pediatric sequential organ failure assessment score and evaluation of the sepsis-3 definitions in critically ill children[J]. JAMA Pediatr, 2017,171(10):e172352. DOI: 10.1001/jamapediatrics.2017.2352.
    [7]
    SchlapbachLJ, WatsonRS, SorceLR, et al. International consensus criteria for pediatric sepsis and septic shock[J]. JAMA, 2024,331(8):665-674. DOI: 10.1001/jama.2024.0179.
    [8]
    中华医学会烧伤外科学分会, 海峡两岸医药卫生交流协会暨烧创伤组织修复专委会. Ⅱ度烧伤创面治疗专家共识(2024版)Ⅱ:手术治疗和感染防治[J].中华烧伤与创面修复杂志,2024,40(2):101-118. DOI: 10.3760/cma.j.cn501225-20240112-00015.
    [9]
    Sanchez-PintoLN, BennettTD, DeWittPE, et al. Development and validation of the Phoenix criteria for pediatric sepsis and septic shock[J]. JAMA, 2024,331(8):675-686. DOI: 10.1001/jama.2024.0196.
    [10]
    应佳云, 刘婷彦, 周文彬, 等. 《2024年国际共识标准:儿童脓毒症和脓毒性休克》解读[J].中国小儿急救医学,2024,31(5):322-326. DOI: 10.3760/cma.j.issn.1673-4912.2024.05.001.
    [11]
    DellingerRP, LevyMM, RhodesA, et al. Surviving sepsis campaign: international guidelines for management of severe sepsis and septic shock: 2012[J]. Crit Care Med, 2013,41(2):580-637. DOI: 10.1097/CCM.0b013e31827e83af.
    [12]
    PollackMM, PatelKM, RuttimannUE. PRISM III: an updated Pediatric Risk of Mortality score[J]. Crit Care Med, 1996,24(5):743-752. DOI: 10.1097/00003246-199605000-00004.
    [13]
    LeteurtreS, DuhamelA, SalleronJ, et al. PELOD-2: an update of the PEdiatric logistic organ dysfunction score[J]. Crit Care Med, 2013,41(7):1761-1773. DOI: 10.1097/CCM.0b013e31828a2bbd.
    [14]
    GracianoAL, BalkoJA, RahnDS, et al. The Pediatric Multiple Organ Dysfunction Score (P-MODS): development and validation of an objective scale to measure the severity of multiple organ dysfunction in critically ill children[J]. Crit Care Med, 2005,33(7):1484-1491. DOI: 10.1097/01.ccm.0000170943.23633.47.
    [15]
    中华医学会儿科学分会急救学组.第四届全国小儿急救医学研讨会纪要[J].中华儿科杂志,1995,33(6):370-373.
    [16]
    朱碧溱, 陆国平. 儿童早期预警评分[J].中华实用儿科临床杂志, 2018, 33(6):432-437. DOI: 10.3760/cma.j.issn.2095-428X.2018.06.009.
    [17]
    张涛, 刘春峰. 2023版国际儿童急性呼吸窘迫综合征诊疗指南解读[J].中国小儿急救医学,2023,30(11):801-808. DOI: 10.3760/cma.j.issn.1673-4912.2023.11.001.
    [18]
    YehyaN, SmithL, ThomasNJ, et al. Definition, incidence, and epidemiology of pediatric acute respiratory distress syndrome: from the Second Pediatric Acute Lung Injury Consensus Conference[J]. Pediatr Crit Care Med, 2023,24(12 Suppl 2):S87-98. DOI: 10.1097/PCC.0000000000003161.
    [19]
    刘霜, 曲东. 脓毒性心肌病临床诊治进展[J].中国小儿急救医学,2022,29(1):6-11. DOI: 10.3760/cma.j.issn.1673-4912.2022.01.002.
    [20]
    LawYM, LalAK, ChenS, et al. Diagnosis and management of myocarditis in children: a scientific statement from the American Heart Association[J]. Circulation, 2021,144(6):e123-e135. DOI: 10.1161/CIR.0000000000001001.
    [21]
    LevyMM, FinkMP, MarshallJC, et al. 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference[J]. Intensive Care Med, 2003,29(4):530-538. DOI: 10.1007/s00134-003-1662-x.
    [22]
    NesselerN, LauneyY, AninatC, et al. Clinical review: the liver in sepsis[J]. Crit Care, 2012,16(5):235. DOI: 10.1186/cc11381.
    [23]
    KobashiH, ToshimoriJ, YamamotoK. Sepsis-associated liver injury: incidence, classification and the clinical significance[J]. Hepatol Res, 2013,43(3):255-266. DOI: 10.1111/j.1872-034X.2012.01069.x.
    [24]
    SchwartzGJ, SchneiderMF, MaierPS, et al. Improved equations estimating GFR in children with chronic kidney disease using an immunonephelometric determination of cystatin C[J]. Kidney Int, 2012,82(4):445-453. DOI: 10.1038/ki.2012.169.
    [25]
    DiseaseKidney: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease[J]. Kidney Int, 2024,105(4Suppl):S117-314. DOI: 10.1016/j.kint.2023.10.018.
    [26]
    SingerM, DeutschmanCS, SeymourCW, et al. The Third International Consensus Definitions for Sepsis and Septic Shock (sepsis-3)[J]. JAMA, 2016,315(8):801-810. DOI: 10.1001/jama.2016.0287.
    [27]
    BoneRC, BalkRA, CerraFB, et al. Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM Consensus Conference Committee. American College of Chest Physicians/Society of Critical Care Medicine[J]. Chest, 1992,101(6):1644-1655. DOI: 10.1378/chest.101.6.1644.
    [28]
    BrierleyJ, CarcilloJA, ChoongK, et al. Clinical practice parameters for hemodynamic support of pediatric and neonatal septic shock: 2007 update from the American College of Critical Care Medicine[J]. Crit Care Med, 2009,37(2):666-688. DOI: 10.1097/CCM.0b013e31819323c6.
    [29]
    GanCS, WongJJ, SamransamruajkitR, et al. Differences between pulmonary and extrapulmonary pediatric acute respiratory distress syndrome: a multicenter analysis[J]. Pediatr Crit Care Med, 2018,19(10):e504-e513. DOI: 10.1097/PCC.0000000000001667.
    [30]
    中国医师协会急诊医师分会, 中国研究型医院学会休克与脓毒症专业委员会. 中国脓毒症/脓毒性休克急诊治疗指南(2018)[J].中国急救医学,2018,38(9):741-756. DOI: 10.3969/j.issn.1002-1949.2018.09.001.
    [31]
    NatesJL, PèneF, DarmonM, et al. Septic shock in the immunocompromised cancer patient: a narrative review[J]. Crit Care, 2024,28(1):285. DOI: 10.1186/s13054-024-05073-0.
    [32]
    LelubreC, VincentJL. Mechanisms and treatment of organ failure in sepsis[J]. Nat Rev Nephrol, 2018,14(7):417-427. DOI: 10.1038/s41581-018-0005-7.
    [33]
    李新胜, 白净, 崔树起, 等. 心肺交互作用的心血管系统模型及仿真研究[J].中国生物医学工程学报,2003,22(3):241-249. DOI: 10.3969/j.issn.0258-8021.2003.03.009.
    [34]
    艾长顺, 秦广宁, 欧阳川, 等. 心肺交互作用的研究进展[J].中国医药,2017,12(8):1269-1272. DOI: 10.3760/cma.j.issn.1673-4777.2017.08.039.
    [35]
    BronickiRA, AnasNG. Cardiopulmonary interaction[J]. Pediatr Crit Care Med, 2009,10(3):313-322. DOI: 10.1097/PCC.0b013e31819887f0.
    [36]
    张坤明, 魏容梅, 钱汉斌, 等. 肺炎支原体肺炎患儿心肌酶谱动态分析[J].实用儿科临床杂志,2003,18(8):617-618. DOI: 10.3969/j.issn.1003-515X.2003.08.014.
    [37]
    FanQ, MengJ, LiP, et al. Pathogenesis and association of Mycoplasma pneumoniae infection with cardiac and hepatic damage[J]. Microbiol Immunol, 2015,59(7):375-380. DOI: 10.1111/1348-0421.12267.
    [38]
    QiX, SunX, LiX, et al. Significance changes in the levels of myocardial enzyme in the child patients with Mycoplasma Pneumoniae Pneumonia[J]. Cell Mol Biol (Noisy-le-grand), 2020,66(6):41-45.
    [39]
    ZarbockA, NadimMK, PickkersP, et al. Sepsis-associated acute kidney injury: consensus report of the 28th Acute Disease Quality Initiative workgroup[J]. Nat Rev Nephrol, 2023,19(6):401-417. DOI: 10.1038/s41581-023-00683-3.
    [40]
    StrnadP, TackeF, KochA, et al. Liver-guardian, modifier and target of sepsis[J]. Nat Rev Gastroenterol Hepatol, 2017,14(1):55-66. DOI: 10.1038/nrgastro.2016.168.
    [41]
    HenrionJ. Hypoxic hepatitis[J]. Liver Int, 2012,32(7):1039-1052. DOI: 10.1111/j.1478-3231.2011.02655.x.
    [42]
    JaborniskyR, KuppermannN, González-DambrauskasS. Transitioning from SIRS to Phoenix with the updated pediatric sepsis criteria-the difficult task of simplifying the complex[J]. JAMA, 2024,331(8):650-651. DOI: 10.1001/jama.2023.27988.
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