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Combined Biomarkers Predict Acute Mortality Among Critically Ill Patients With Suspected Sepsis*

Authors :
Warren B. Bilker
Brendan J Kelly
Susan E. Coffin
Irving Nachamkin
Pam Tolomeo
Barry D. Fuchs
Jeffrey S. Gerber
Xiaoyan Han
Jennifer H. Han
Ebbing Lautenbach
Charles Garrigan
Prevention Epicenters Program
Jacqueleen Wise
Source :
Critical Care Medicine. 46:1106-1113
Publication Year :
2018
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2018.

Abstract

Objectives Sepsis is associated with high early and total in-hospital mortality. Despite recent revisions in the diagnostic criteria for sepsis that sought to improve predictive validity for mortality, it remains difficult to identify patients at greatest risk of death. We compared the utility of nine biomarkers to predict mortality in subjects with clinically suspected bacterial sepsis. Design Cohort study. Setting The medical and surgical ICUs at an academic medical center. Subjects We enrolled 139 subjects who met two or more systemic inflammatory response syndrome (systemic inflammatory response syndrome) criteria and received new broad-spectrum antibacterial therapy. Interventions We assayed nine biomarkers (α-2 macroglobulin, C-reactive protein, ferritin, fibrinogen, haptoglobin, procalcitonin, serum amyloid A, serum amyloid P, and tissue plasminogen activator) at onset of suspected sepsis and 24, 48, and 72 hours thereafter. We compared biomarkers between groups based on both 14-day and total in-hospital mortality and evaluated the predictive validity of single and paired biomarkers via area under the receiver operating characteristic curve. Measurements and main results Fourteen-day mortality was 12.9%, and total in-hospital mortality was 29.5%. Serum amyloid P was significantly lower (4/4 timepoints) and tissue plasminogen activator significantly higher (3/4 timepoints) in the 14-day mortality group, and the same pattern held for total in-hospital mortality (Wilcoxon p ≤ 0.046 for all timepoints). Serum amyloid P and tissue plasminogen activator demonstrated the best individual predictive performance for mortality, and combinations of biomarkers including serum amyloid P and tissue plasminogen activator achieved greater predictive performance (area under the receiver operating characteristic curve > 0.76 for 14-d and 0.74 for total mortality). Conclusions Combined biomarkers predict risk for 14-day and total mortality among subjects with suspected sepsis. Serum amyloid P and tissue plasminogen activator demonstrated the best discriminatory ability in this cohort.

Details

ISSN :
00903493
Volume :
46
Database :
OpenAIRE
Journal :
Critical Care Medicine
Accession number :
edsair.doi...........0b62e16e818c931b4817e8d7ade5d6f6
Full Text :
https://doi.org/10.1097/ccm.0000000000003137