Pediatric Sepsis Biomarker Risk Model-II: Redefining the Pediatric Sepsis Biomarker Risk Model With Septic Shock Phenotype. Issue 11 (November 2016)
- Record Type:
- Journal Article
- Title:
- Pediatric Sepsis Biomarker Risk Model-II: Redefining the Pediatric Sepsis Biomarker Risk Model With Septic Shock Phenotype. Issue 11 (November 2016)
- Main Title:
- Pediatric Sepsis Biomarker Risk Model-II
- Authors:
- Wong, Hector R.
Cvijanovich, Natalie Z.
Anas, Nick
Allen, Geoffrey L.
Thomas, Neal J.
Bigham, Michael T.
Weiss, Scott L.
Fitzgerald, Julie
Checchia, Paul A.
Meyer, Keith
Quasney, Michael
Hall, Mark
Gedeit, Rainer
Freishtat, Robert J.
Nowak, Jeffrey
Raj, Shekhar S.
Gertz, Shira
Howard, Kelli
Harmon, Kelli
Lahni, Patrick
Frank, Erin
Hart, Kimberly W.
Nguyen, Trung C.
Lindsell, Christopher J. - Abstract:
- Abstract : 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 ofAbstract : 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. Abstract : Supplemental Digital Content is available in the text. … (more)
- Is Part Of:
- Critical care medicine. Volume 44:Issue 11(2016)
- Journal:
- Critical care medicine
- Issue:
- Volume 44:Issue 11(2016)
- Issue Display:
- Volume 44, Issue 11 (2016)
- Year:
- 2016
- Volume:
- 44
- Issue:
- 11
- Issue Sort Value:
- 2016-0044-0011-0000
- Page Start:
- Page End:
- Publication Date:
- 2016-11
- Subjects:
- biomarkers -- enrichment -- organ failure -- sepsis -- stratification -- trial simulation
Critical care medicine -- Periodicals
Soins intensifs -- Périodiques
616.028 - Journal URLs:
- http://journals.lww.com/ccmjournal/Pages/default.aspx ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/CCM.0000000000001852 ↗
- Languages:
- English
- ISSNs:
- 0090-3493
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3487.451000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 597.xml