TY - JOUR
T1 - Biomarkers of endothelial activation/dysfunction distinguish subgroups of Ugandan patients with sepsis and differing mortality risks
AU - Clark, Danielle V.
AU - Banura, Patrick
AU - Bandeen-Roche, Karen
AU - Conrad Liles, W.
AU - Kain, Kevin C.
AU - Michael Scheld, W.
AU - Moss, William J.
AU - Jacob, Shevin T.
N1 - Publisher Copyright:
© 2019 American Society for Clinical Investigation.
PY - 2019
Y1 - 2019
N2 - BACKGROUND. Sepsis is a complex clinical syndrome with substantial heterogeneity. We sought to identify patterns of serum biomarkers of endothelial activation and dysfunction in individuals with sepsis and evaluate subgroup-specifc di?erences in mortality. METHODS. Adult patients with sepsis (n = 426) were consecutively recruited from 2 hospitals in Uganda. Clinical information was collected, and serum concentrations of 11 biomarkers involved in the endothelial response to infection were measured in samples from 315 patients. Latent variable models were ft to evaluate whether the endothelial response to sepsis consists of one unifed biologic process or multiple processes and to identify subgroups of patients with distinct host-response profles. Di?erences in survival at day 28 were evaluated using Kaplan-Meier survival curves. RESULTS. We identifed 3 patient subgroups characterized by unique host endothelial response profles. Patients ftting profle 2 had signifcantly worse survival (log-rank P 0.001). Four latent factors (factors 1-4) were identifed, each potentially representing distinct biologic processes for the endothelial response to sepsis: factor 1 (CHI3L1, sTREM1, sFLT1), factor 2 (ANGPT1, PF4, VEGF), factor 3 (CXCL10, vWF, sICAM1), and factor 4 (ANGPT2, sTEK). CONCLUSION. Patient profles based on patterns of circulating biomarkers of endothelial responses may provide a clinically meaningful way to categorize patients into homogeneous subgroups and may identify patients with a high risk of mortality. Profle 2 may represent dysfunction of the endothelial response to infection. FUNDING. Primary funding: Investigator-Initiated Award provided by Pfzer Inc. Additional support: Canadian Institutes of Health Research Foundation grant (FDN-148439) and the Canada Research Chair program.
AB - BACKGROUND. Sepsis is a complex clinical syndrome with substantial heterogeneity. We sought to identify patterns of serum biomarkers of endothelial activation and dysfunction in individuals with sepsis and evaluate subgroup-specifc di?erences in mortality. METHODS. Adult patients with sepsis (n = 426) were consecutively recruited from 2 hospitals in Uganda. Clinical information was collected, and serum concentrations of 11 biomarkers involved in the endothelial response to infection were measured in samples from 315 patients. Latent variable models were ft to evaluate whether the endothelial response to sepsis consists of one unifed biologic process or multiple processes and to identify subgroups of patients with distinct host-response profles. Di?erences in survival at day 28 were evaluated using Kaplan-Meier survival curves. RESULTS. We identifed 3 patient subgroups characterized by unique host endothelial response profles. Patients ftting profle 2 had signifcantly worse survival (log-rank P 0.001). Four latent factors (factors 1-4) were identifed, each potentially representing distinct biologic processes for the endothelial response to sepsis: factor 1 (CHI3L1, sTREM1, sFLT1), factor 2 (ANGPT1, PF4, VEGF), factor 3 (CXCL10, vWF, sICAM1), and factor 4 (ANGPT2, sTEK). CONCLUSION. Patient profles based on patterns of circulating biomarkers of endothelial responses may provide a clinically meaningful way to categorize patients into homogeneous subgroups and may identify patients with a high risk of mortality. Profle 2 may represent dysfunction of the endothelial response to infection. FUNDING. Primary funding: Investigator-Initiated Award provided by Pfzer Inc. Additional support: Canadian Institutes of Health Research Foundation grant (FDN-148439) and the Canada Research Chair program.
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U2 - 10.1172/jci.insight.127623
DO - 10.1172/jci.insight.127623
M3 - Article
C2 - 31013257
AN - SCOPUS:85070658592
SN - 2379-3708
VL - 4
JO - JCI Insight
JF - JCI Insight
IS - 10
M1 - e127623
ER -