Development of an Algorithm to Predict Mortality in Patients With Sepsis and Coagulopathy.
DIC
disseminated intravascular coagulation
mortality prediction
sepsis
Journal
Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
ISSN: 1938-2723
Titre abrégé: Clin Appl Thromb Hemost
Pays: United States
ID NLM: 9508125
Informations de publication
Date de publication:
Historique:
entrez:
5
3
2020
pubmed:
5
3
2020
medline:
22
10
2020
Statut:
ppublish
Résumé
Sepsis is a systemic response to infection with a high rate of mortality and complex pathophysiology involving inflammation, infection response, hemostasis, endothelium, and platelets. The purpose of this study was to develop an equation incorporating biomarker levels at intensive care unit (ICU) admission to predict mortality in patients with sepsis, based on the hypothesis that a combination of biomarkers representative of multiple physiological systems would provide improved predictive value. Plasma samples and clinical data were collected from 103 adult patients with sepsis at the time of ICU admission. Biomarker levels were measured using commercially available methods. A 28-day mortality was used as the primary end point. Stepwise linear regression modeling was performed to generate a predictive equation for mortality. Differences in biomarker levels between survivors were quantified using the Mann-Whitney test and the area under the receiver operating curve (AUC) was used to describe predictive ability. Significant differences (
Identifiants
pubmed: 32129085
doi: 10.1177/1076029620902849
pmc: PMC7288806
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1076029620902849Subventions
Organisme : NIA NIH HHS
ID : R01 AG048022
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL126547
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL130541
Pays : United States
Organisme : NHLBI NIH HHS
ID : U54 HL112311
Pays : United States
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