Abstract | CONTEXT: We recently derived and validated a multi- biomarker-based model (ASSIST) to stratify patients with sepsis based on initial mortality risk. OBJECTIVE: 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.
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Authors | Hector R Wong, Keith R Walley, Ville Pettilä, Nuala J Meyer, James A Russell, Sari Karlsson, Michael G S Shashaty, Christopher J Lindsell |
Journal | Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals
(Biomarkers)
Vol. 20
Issue 2
Pg. 132-5
(Mar 2015)
ISSN: 1366-5804 [Electronic] England |
PMID | 25578228
(Publication Type: Comparative Study, Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)
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Chemical References |
- Biomarkers
- CALCA protein, human
- Interleukin-6
- Protein Precursors
- Calcitonin
- Calcitonin Gene-Related Peptide
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Topics |
- Aged
- Biomarkers
(blood)
- Calcitonin
(blood)
- Calcitonin Gene-Related Peptide
- Cohort Studies
- Female
- Humans
- Interleukin-6
(blood)
- Male
- Middle Aged
- Prognosis
- Protein Precursors
(blood)
- ROC Curve
- Reproducibility of Results
- Risk Assessment
(methods)
- Risk Factors
- Sepsis
(blood, diagnosis, mortality)
- Severity of Illness Index
- Shock, Septic
(blood, diagnosis, mortality)
- Survival Analysis
- Survival Rate
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