Pediatric Sepsis Biomarker Risk Model-II: Redefining the Pediatric Sepsis Biomarker Risk Model With Septic Shock Phenotype

被引:79
作者
Wong, Hector R. [1 ,2 ,3 ]
Cvijanovich, Natalie Z. [4 ]
Anas, Nick [5 ]
Allen, Geoffrey L. [6 ]
Thomas, Neal J. [7 ]
Bigham, Michael T. [8 ]
Weiss, Scott L. [9 ]
Fitzgerald, Julie [9 ]
Checchia, Paul A. [10 ,11 ]
Meyer, Keith [12 ]
Quasney, Michael [13 ]
Hall, Mark [14 ]
Gedeit, Rainer [15 ]
Freishtat, Robert J. [16 ]
Nowak, Jeffrey [17 ,18 ]
Raj, Sheldiar S. [19 ]
Gertz, Shira [20 ]
Howard, Kelli [1 ,2 ]
Harmon, Kelli [1 ,2 ]
Lahni, Patrick [1 ,2 ]
Frank, Erin [1 ,2 ]
Hart, Kimberly W. [21 ]
Nguyen, Trung C. [10 ,11 ]
Lindsell, Christopher J. [21 ]
机构
[1] Cincinnati Childrens Hosp Med Ctr, Div Crit Care Med, Cincinnati, OH 45229 USA
[2] Cincinnati Childrens Res Fdn, Cincinnati, OH 45229 USA
[3] Univ Cincinnati, Coll Med, Dept Pediat, Cincinnati, OH 45220 USA
[4] UCSF Benioff Childrens Hosp Oakland, Oakland, CA USA
[5] Childrens Hosp Orange Cty, Orange, CA 92668 USA
[6] Childrens Mercy Hosp, Kansas City, MO 64108 USA
[7] Penn State Hershey Childrens Hosp, Hershey, PA USA
[8] Akron Childrens Hosp, Akron, OH USA
[9] Childrens Hosp Philadelphia, Philadelphia, PA 19104 USA
[10] Texas Childrens Hosp, Houston, TX 77030 USA
[11] Baylor Coll Med, Houston, TX 77030 USA
[12] Miami Childrens Hosp, Miami, FL USA
[13] Univ Michigan, CS Mott Childrens Hosp, Ann Arbor, MI 48109 USA
[14] Nationwide Childrens Hosp, Columbus, OH USA
[15] Childrens Hosp Wisconsin, Milwaukee, WI 53201 USA
[16] Childrens Natl Med Ctr, Washington, DC 20010 USA
[17] Childrens Hosp, Minneapolis, MN USA
[18] Clin Minnesota, Minneapolis, MN USA
[19] Riley Hosp Children, Indianapolis, IN USA
[20] Hackensack Univ, Med Ctr, Joseph M Sanzari Childrens Hosp, Hackensack, NJ USA
[21] Univ Cincinnati, Coll Med, Dept Emergency Med, Cincinnati, OH USA
基金
美国国家卫生研究院;
关键词
biomarkers; enrichment; organ failure; sepsis; stratification; trial simulation; ORGAN DYSFUNCTION;
D O I
10.1097/CCM.0000000000001852
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Objective: The Pediatric Sepsis Biomarker Risk Model (PERSEVERE), a pediatric sepsis risk model, uses biomarkers to estimate baseline mortality risk for pediatric septic shock. It is unknown how PERSEVERE performs within distinct septic shock phenotypes. We tested PERSEVERE in children with septic shock and thrombocytopenia-associated multiple organ failure (TAMOF), and in those without new onset thrombocytopenia but with multiple organ failure (MOF). Design: PERSEVERE-based mortality risk was generated for each study subject (n = 660). A priori, we determined that if PERSEVERE did not perform well in both the TAMOF and the MOF cohorts, we would revise PERSEVERE to incorporate admission platelet counts. Setting: Multiple PICUs in the United States. Interventions: Standard care. Measurements and Main Results: PERSEVERE performed well in the TAMOF cohort (areas under the receiver operating characteristic curves [AUC], 0.84 [95% CI, 0.77-0.90]), but less well in the MOF cohort (AUC, 0.71 [0.61-0.80]). PERSEVERE was revised using 424 subjects previously reported in the derivation phase. PERSEVERE-II had an AUC of 0.89 (0.85-0.93) and performed equally well across TAMOF and MOF cohorts. PERSEVERE-II performed well when tested in 236 newly enrolled subjects. Sample size calculations for a clinical trial testing the efficacy of plasma exchange for children with septic shock and TAMOF indicated PERSEVERE-II based stratification could substantially reduce the number of patients necessary, when compared with no stratification. Conclusions: Testing PERSEVERE in the context of septic shock phenotypes prompted a revision incorporating platelet count. PERSEVERE-II performs well upon testing, independent of TAMOF or MOF status. PERSEVERE-II could potentially serve as a prognostic enrichment tool.
引用
收藏
页码:2010 / 2017
页数:8
相关论文
共 24 条
  • [1] The pediatric sepsis biomarker risk model: potential implications for sepsis therapy and biology
    Alder, Matthew N.
    Lindsell, Christopher J.
    Wong, Hector R.
    [J]. EXPERT REVIEW OF ANTI-INFECTIVE THERAPY, 2014, 12 (07) : 809 - 816
  • [2] Decision Tree and Ensemble Learning Algorithms with Their Applications in Bioinformatics
    Che, Dongsheng
    Liu, Qi
    Rasheed, Khaled
    Tao, Xiuping
    [J]. SOFTWARE TOOLS AND ALGORITHMS FOR BIOLOGICAL SYSTEMS, 2011, 696 : 191 - 199
  • [3] Sepsis: a roadmap for future research
    Cohen, Jonathan
    Vincent, Jean-Louis
    Adhikari, Neill K. J.
    Machado, Flavia R.
    Angus, Derek C.
    Calandra, Thierry
    Jaton, Katia
    Giulieri, Stefano
    Delaloye, Julie
    Opal, Steven
    Tracey, Kevin
    van der Poll, Tom
    Pelfrene, Eric
    [J]. LANCET INFECTIOUS DISEASES, 2015, 15 (05) : 581 - 614
  • [4] Goldstein Brahm, 2005, Pediatr Crit Care Med, V6, P2
  • [5] A METHOD OF COMPARING THE AREAS UNDER RECEIVER OPERATING CHARACTERISTIC CURVES DERIVED FROM THE SAME CASES
    HANLEY, JA
    MCNEIL, BJ
    [J]. RADIOLOGY, 1983, 148 (03) : 839 - 843
  • [6] Pediatric Sepsis Challenges and Adjunctive Therapies
    Hanna, William
    Wong, Hector R.
    [J]. CRITICAL CARE CLINICS, 2013, 29 (02) : 203 - +
  • [7] Biomarker discovery and development in pediatric critical care medicine
    Kaplan, Jennifer M.
    Wong, Hector R.
    [J]. PEDIATRIC CRITICAL CARE MEDICINE, 2011, 12 (02) : 165 - 173
  • [8] Phenotypic clusters within sepsis-associated multiple organ dysfunction syndrome
    Knox, Daniel B.
    Lanspa, Michael J.
    Kuttler, Kathryn G.
    Brewer, Simon C.
    Brown, Samuel M.
    [J]. INTENSIVE CARE MEDICINE, 2015, 41 (05) : 814 - 822
  • [9] Logistic regression and CART in the analysis of multimarker studies
    Muller, Reinhold
    Moeckel, Martin
    [J]. CLINICA CHIMICA ACTA, 2008, 394 (1-2) : 1 - 6
  • [10] Nguyen TC, 2014, PEDIAT CRITICAL CARE, V3, P481