A Two-Biomarker Model Predicts Mortality in the Critically Ill with Sepsis

Improving the prospective identification of patients with systemic inflammatory response syndrome (SIRS) and sepsis at low risk for organ dysfunction and death is a major clinical challenge. To develop and validate a multibiomarker-based prediction model for 28-day mortality in critically ill patien...

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Published inAmerican journal of respiratory and critical care medicine Vol. 196; no. 8; pp. 1004 - 1011
Main Authors Mikacenic, Carmen, Price, Brenda L., Harju-Baker, Susanna, O’Mahony, D. Shane, Robinson-Cohen, Cassianne, Radella, Frank, Hahn, William O., Katz, Ronit, Christiani, David C., Himmelfarb, Jonathan, Liles, W. Conrad, Wurfel, Mark M.
Format Journal Article
LanguageEnglish
Published United States American Thoracic Society 15.10.2017
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Abstract Improving the prospective identification of patients with systemic inflammatory response syndrome (SIRS) and sepsis at low risk for organ dysfunction and death is a major clinical challenge. To develop and validate a multibiomarker-based prediction model for 28-day mortality in critically ill patients with SIRS and sepsis. A derivation cohort (n = 888) and internal test cohort (n = 278) were taken from a prospective study of critically ill intensive care unit (ICU) patients meeting two of four SIRS criteria at an academic medical center for whom plasma was obtained within 24 hours. The validation cohort (n = 759) was taken from a prospective cohort enrolled at another academic medical center ICU for whom plasma was obtained within 48 hours. We measured concentrations of angiopoietin-1, angiopoietin-2, IL-6, IL-8, soluble tumor necrosis factor receptor-1, soluble vascular cell adhesion molecule-1, granulocyte colony-stimulating factor, and soluble Fas. We identified a two-biomarker model in the derivation cohort that predicted mortality (area under the receiver operator characteristic curve [AUC], 0.79; 95% confidence interval [CI], 0.74-0.83). It performed well in the internal test cohort (AUC, 0.75; 95% CI, 0.65-0.85) and the external validation cohort (AUC, 0.77; 95% CI, 0.72-0.83). We determined a model score threshold demonstrating high negative predictive value (0.95) for death. In addition to a low risk of death, patients below this threshold had shorter ICU length of stay, lower incidence of acute kidney injury, acute respiratory distress syndrome, and need for vasopressors. We have developed a simple, robust biomarker-based model that identifies patients with SIRS/sepsis at low risk for death and organ dysfunction.
AbstractList Rationale: Improving the prospective identification of patients with systemic inflammatory response syndrome (SIRS) and sepsis at low risk for organ dysfunction and death is a major clinical challenge. Objectives: To develop and validate a multibiomarker-based prediction model for 28-day mortality in critically ill patients with SIRS and sepsis. Methods: A derivation cohort (n = 888) and internal test cohort (n = 278) were taken from a prospective study of critically ill intensive care unit (ICU) patients meeting two of four SIRS criteria at an academic medical center for whom plasma was obtained within 24 hours. The validation cohort (n = 759) was taken from a prospective cohort enrolled at another academic medical center ICU for whom plasma was obtained within 48 hours. We measured concentrations of angiopoietin-1, angiopoietin-2, IL-6, IL-8, soluble tumor necrosis factor receptor-1, soluble vascular cell adhesion molecule-1, granulocyte colony–stimulating factor, and soluble Fas. Measurements and Main Results: We identified a two-biomarker model in the derivation cohort that predicted mortality (area under the receiver operator characteristic curve [AUC], 0.79; 95% confidence interval [CI], 0.74–0.83). It performed well in the internal test cohort (AUC, 0.75; 95% CI, 0.65–0.85) and the external validation cohort (AUC, 0.77; 95% CI, 0.72–0.83). We determined a model score threshold demonstrating high negative predictive value (0.95) for death. In addition to a low risk of death, patients below this threshold had shorter ICU length of stay, lower incidence of acute kidney injury, acute respiratory distress syndrome, and need for vasopressors. Conclusions: We have developed a simple, robust biomarker-based model that identifies patients with SIRS/sepsis at low risk for death and organ dysfunction.
Improving the prospective identification of patients with systemic inflammatory response syndrome (SIRS) and sepsis at low risk for organ dysfunction and death is a major clinical challenge. To develop and validate a multibiomarker-based prediction model for 28-day mortality in critically ill patients with SIRS and sepsis. A derivation cohort (n = 888) and internal test cohort (n = 278) were taken from a prospective study of critically ill intensive care unit (ICU) patients meeting two of four SIRS criteria at an academic medical center for whom plasma was obtained within 24 hours. The validation cohort (n = 759) was taken from a prospective cohort enrolled at another academic medical center ICU for whom plasma was obtained within 48 hours. We measured concentrations of angiopoietin-1, angiopoietin-2, IL-6, IL-8, soluble tumor necrosis factor receptor-1, soluble vascular cell adhesion molecule-1, granulocyte colony-stimulating factor, and soluble Fas. We identified a two-biomarker model in the derivation cohort that predicted mortality (area under the receiver operator characteristic curve [AUC], 0.79; 95% confidence interval [CI], 0.74-0.83). It performed well in the internal test cohort (AUC, 0.75; 95% CI, 0.65-0.85) and the external validation cohort (AUC, 0.77; 95% CI, 0.72-0.83). We determined a model score threshold demonstrating high negative predictive value (0.95) for death. In addition to a low risk of death, patients below this threshold had shorter ICU length of stay, lower incidence of acute kidney injury, acute respiratory distress syndrome, and need for vasopressors. We have developed a simple, robust biomarker-based model that identifies patients with SIRS/sepsis at low risk for death and organ dysfunction.
Notably, the APACHE III score requires measurement of multiple variables over a 24-hour time period, limiting its utility for early clinical decision-making. [...]our simple model may represent a good alternative for early mortality prediction in this patient population. [...]we did not include several clinical measurements commonly used for assessment of severity including arterial lactate, procalcitonin, or C-reactive protein (42-46). [...]our external validation cohort was recruited over an extended period of time. [...]although in this study we aimed for a parsimonious and easily clinically applicable model, other biomarkers (IL-6, Ang-1, Ang-2, sVCAM-1) did have some, albeit limited, incremental prognostic value.
Improving the prospective identification of patients with systemic inflammatory response syndrome (SIRS) and sepsis at low risk for organ dysfunction and death is a major clinical challenge.RATIONALEImproving the prospective identification of patients with systemic inflammatory response syndrome (SIRS) and sepsis at low risk for organ dysfunction and death is a major clinical challenge.To develop and validate a multibiomarker-based prediction model for 28-day mortality in critically ill patients with SIRS and sepsis.OBJECTIVESTo develop and validate a multibiomarker-based prediction model for 28-day mortality in critically ill patients with SIRS and sepsis.A derivation cohort (n = 888) and internal test cohort (n = 278) were taken from a prospective study of critically ill intensive care unit (ICU) patients meeting two of four SIRS criteria at an academic medical center for whom plasma was obtained within 24 hours. The validation cohort (n = 759) was taken from a prospective cohort enrolled at another academic medical center ICU for whom plasma was obtained within 48 hours. We measured concentrations of angiopoietin-1, angiopoietin-2, IL-6, IL-8, soluble tumor necrosis factor receptor-1, soluble vascular cell adhesion molecule-1, granulocyte colony-stimulating factor, and soluble Fas.METHODSA derivation cohort (n = 888) and internal test cohort (n = 278) were taken from a prospective study of critically ill intensive care unit (ICU) patients meeting two of four SIRS criteria at an academic medical center for whom plasma was obtained within 24 hours. The validation cohort (n = 759) was taken from a prospective cohort enrolled at another academic medical center ICU for whom plasma was obtained within 48 hours. We measured concentrations of angiopoietin-1, angiopoietin-2, IL-6, IL-8, soluble tumor necrosis factor receptor-1, soluble vascular cell adhesion molecule-1, granulocyte colony-stimulating factor, and soluble Fas.We identified a two-biomarker model in the derivation cohort that predicted mortality (area under the receiver operator characteristic curve [AUC], 0.79; 95% confidence interval [CI], 0.74-0.83). It performed well in the internal test cohort (AUC, 0.75; 95% CI, 0.65-0.85) and the external validation cohort (AUC, 0.77; 95% CI, 0.72-0.83). We determined a model score threshold demonstrating high negative predictive value (0.95) for death. In addition to a low risk of death, patients below this threshold had shorter ICU length of stay, lower incidence of acute kidney injury, acute respiratory distress syndrome, and need for vasopressors.MEASUREMENTS AND MAIN RESULTSWe identified a two-biomarker model in the derivation cohort that predicted mortality (area under the receiver operator characteristic curve [AUC], 0.79; 95% confidence interval [CI], 0.74-0.83). It performed well in the internal test cohort (AUC, 0.75; 95% CI, 0.65-0.85) and the external validation cohort (AUC, 0.77; 95% CI, 0.72-0.83). We determined a model score threshold demonstrating high negative predictive value (0.95) for death. In addition to a low risk of death, patients below this threshold had shorter ICU length of stay, lower incidence of acute kidney injury, acute respiratory distress syndrome, and need for vasopressors.We have developed a simple, robust biomarker-based model that identifies patients with SIRS/sepsis at low risk for death and organ dysfunction.CONCLUSIONSWe have developed a simple, robust biomarker-based model that identifies patients with SIRS/sepsis at low risk for death and organ dysfunction.
Author Hahn, William O.
Radella, Frank
Katz, Ronit
Liles, W. Conrad
Robinson-Cohen, Cassianne
Harju-Baker, Susanna
Christiani, David C.
Mikacenic, Carmen
Himmelfarb, Jonathan
Price, Brenda L.
Wurfel, Mark M.
O’Mahony, D. Shane
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/28418697$$D View this record in MEDLINE/PubMed
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sepsis
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SSID ssj0012810
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Snippet Improving the prospective identification of patients with systemic inflammatory response syndrome (SIRS) and sepsis at low risk for organ dysfunction and death...
Notably, the APACHE III score requires measurement of multiple variables over a 24-hour time period, limiting its utility for early clinical decision-making....
Rationale: Improving the prospective identification of patients with systemic inflammatory response syndrome (SIRS) and sepsis at low risk for organ...
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StartPage 1004
SubjectTerms Adult
Aged
Aged, 80 and over
Angiopoietins - blood
Apoptosis
Biomarkers
Biomarkers - blood
Cell adhesion & migration
Cohort Studies
Critical Illness - mortality
Female
Granulocyte Colony-Stimulating Factor - blood
Granulocytes
Hospitals
Human subjects
Humans
Intensive care
Male
Middle Aged
Mortality
Original
Patients
Plasma
Predictive Value of Tests
Prospective Studies
Respiratory distress syndrome
Sepsis
Sepsis - blood
Sepsis - mortality
Systemic Inflammatory Response Syndrome - blood
Tumor Necrosis Factor-alpha - blood
Tumor necrosis factor-TNF
Variables
Vascular Cell Adhesion Molecule-1 - blood
Title A Two-Biomarker Model Predicts Mortality in the Critically Ill with Sepsis
URI https://www.ncbi.nlm.nih.gov/pubmed/28418697
https://www.proquest.com/docview/1954234957
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https://pubmed.ncbi.nlm.nih.gov/PMC5649981
Volume 196
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