Skip to main content

Comparing the prognostic performance of ASSIST to interleukin-6 and procalcitonin in patients with severe sepsis or septic shock.

Publication ,  Journal Article
Wong, HR; Walley, KR; Pettilä, V; Meyer, NJ; Russell, JA; Karlsson, S; Shashaty, MGS; Lindsell, CJ
Published in: Biomarkers
March 2015

CONTEXT: We recently derived and validated a multi-biomarker-based model (ASSIST) to stratify patients with sepsis based on initial mortality risk. OBJECTIVE: The objective of this study was to compare the performance of ASSIST to interleukin-6 (IL6) and procalcitonin (PCT). METHODS: The area-under-the-receiver operating characteristic curve for predicting 28-d mortality using ASSIST was compared with that of IL6 (n = 452) and PCT (n = 235). RESULTS: The area under the curve for ASSIST was greater than that of IL6 and PCT. CONCLUSIONS: ASSIST estimated the probability of mortality more reliably than IL6 and PCT in this cohort of patients with sepsis.

Duke Scholars

Published In

Biomarkers

DOI

EISSN

1366-5804

Publication Date

March 2015

Volume

20

Issue

2

Start / End Page

132 / 135

Location

England

Related Subject Headings

  • Toxicology
  • Survival Rate
  • Survival Analysis
  • Shock, Septic
  • Severity of Illness Index
  • Sepsis
  • Risk Factors
  • Risk Assessment
  • Reproducibility of Results
  • ROC Curve
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Wong, H. R., Walley, K. R., Pettilä, V., Meyer, N. J., Russell, J. A., Karlsson, S., … Lindsell, C. J. (2015). Comparing the prognostic performance of ASSIST to interleukin-6 and procalcitonin in patients with severe sepsis or septic shock. Biomarkers, 20(2), 132–135. https://doi.org/10.3109/1354750X.2014.1000971

Published In

Biomarkers

DOI

EISSN

1366-5804

Publication Date

March 2015

Volume

20

Issue

2

Start / End Page

132 / 135

Location

England

Related Subject Headings

  • Toxicology
  • Survival Rate
  • Survival Analysis
  • Shock, Septic
  • Severity of Illness Index
  • Sepsis
  • Risk Factors
  • Risk Assessment
  • Reproducibility of Results
  • ROC Curve