Observational Study of Sepsis and Pneumonia to Develop Diagnostic Tests
NCT ID: NCT00258869
Last Updated: 2010-11-09
Study Results
Results pending
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
Recruitment Status
UNKNOWN
Total Enrollment
1200 participants
Study Classification
OBSERVATIONAL
Study Start Date
2005-12-31
Study Completion Date
2010-07-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
We propose to develop novel diagnostic tests for severe sepsis and community acquired pneumonia (CAP). This program, entitled Community Acquired Pneumonia \& Sepsis Outcome Diagnostics (CAPSOD), is a multidisciplinary collaboration involving investigators at six organizations: NCGR; Duke University Medical Center, Durham, NC; Henry Ford Hospital, Detroit, MI; Eli Lilly and Company, Indianapolis, IN; Indiana Centers for Applied Protein Sciences, Indianapolis, IN; and ProSanos Corp., La Jolla, CA.
In the United States, Community Acquired Pneumonia is the sixth leading cause of death and the number one cause of death from infectious diseases. Of the 5.6 million annual cases of CAP, 1.1 million require hospitalization for intensive therapy. Sepsis, commonly known as blood poisoning or bloodstream infection, is the tenth leading cause of death in the US and the number one cause of death in non-cardiac intensive care units. Incidence of sepsis is increasing by 9% each year and mortality rates vary between 25 and 50%. Cost to the US healthcare system exceeds $20 billion each year.
In patients with suspected sepsis or early CAP, rapid identification of patients who will develop severe sepsis or CAP is critical for effective management and positive outcome. The CAPSOD study is designed to identify novel tests for early diagnosis of severe sepsis and CAP. When performed in patients at the earliest stages of disease, these tests will have prognostic value, rapidly identifying those who will have poor outcomes or complicated courses.
CAPSOD will prospectively enroll patients with sepsis and CAP at Duke University Medical Center and Henry Ford Hospital. The study will use advanced bioinformatic, metabolomic, proteomic and mRNA sequencing technologies to identify specific protein changes, or biomarkers, in patient blood samples that predict outcome in sepsis and CAP. Development of biomarker-based tests will permit patient selection for appropriate disposition, such as the intensive care unit, and use of intensive medical therapies, thereby reducing mortality and increasing effectiveness of resource allocation.
In the United States, Community Acquired Pneumonia is the sixth leading cause of death and the number one cause of death from infectious diseases. Of the 5.6 million annual cases of CAP, 1.1 million require hospitalization for intensive therapy. Sepsis, commonly known as blood poisoning or bloodstream infection, is the tenth leading cause of death in the US and the number one cause of death in non-cardiac intensive care units. Incidence of sepsis is increasing by 9% each year and mortality rates vary between 25 and 50%. Cost to the US healthcare system exceeds $20 billion each year.
In patients with suspected sepsis or early CAP, rapid identification of patients who will develop severe sepsis or CAP is critical for effective management and positive outcome. The CAPSOD study is designed to identify novel tests for early diagnosis of severe sepsis and CAP. When performed in patients at the earliest stages of disease, these tests will have prognostic value, rapidly identifying those who will have poor outcomes or complicated courses.
CAPSOD will prospectively enroll patients with sepsis and CAP at Duke University Medical Center and Henry Ford Hospital. The study will use advanced bioinformatic, metabolomic, proteomic and mRNA sequencing technologies to identify specific protein changes, or biomarkers, in patient blood samples that predict outcome in sepsis and CAP. Development of biomarker-based tests will permit patient selection for appropriate disposition, such as the intensive care unit, and use of intensive medical therapies, thereby reducing mortality and increasing effectiveness of resource allocation.
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
3 interdependent aims are proposed to discover and initiate development of novel, in vitro diagnostic tests (IVD) for severe sepsis (SS) and community acquired pneumonia (CAP).
Specific Aim 1: Discovery and initial development of an IVD for early diagnosis of severe sepsis.
In patients with suspected sepsis, early, accurate identification of patients who will develop organ dysfunction (SS) is critical for effective management and positive outcome. While the American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference definitions provide a clinical guide to identifying patients who have SS, we propose to develop a rapid, point-of-care (POC) IVD for early diagnosis of SS. The basis of the proposed IVD will be the measurement of several, host response, plasma proteins. When performed in patients at the earliest stage of sepsis, this test will have prognostic value, rapidly identifying patients who will have poor outcomes or complicated courses.
Availability of this IVD will enable patient selection for appropriate disposition, such as the intensive care unit (ICU), and use of medical therapies, such as early goal-directed therapy (EGDT), thereby reducing mortality and increasing effectiveness of resource allocation. A considerable literature exists of host plasma protein changes during sepsis. Furthermore, in preliminary studies measuring more than 100 host proteins in blood of over 300 patients with SS, we have identified a number of candidate biomarkers of SS. We propose to inventory, replicate and validate the utility of these biomarkers of SS, and to identify novel plasma biomarkers of SS, through literature review and a prospective clinical study employing 2 proteomic technologies (mass spectrometry and multiplexed immunoassays), mass spectrometry-based plasma metabolomics and sequencing of mRNA derived from peripheral blood lymphocytes. We intend to enroll 1200 patients with sepsis (evidence of infection and 2 or more criteria of the systemic inflammatory response syndrome, SIRS) at 3 US tertiary care hospitals and emergency departments (ED), and to monitor their course both by established clinical severity indices (Acute Physiology and Chronic Health Evaluation \[APACHE II\] and Pneumonia Patient Outcomes Research Team \[PORT\]scores, and metabolic endpoints such as lactate, base deficit and pH) and ascertainment of complicating events (such as SS, septic shock, acute renal failure (ARF), acute respiratory distress syndrome (ARDS),disseminated intravascular coagulopathy (DIC) and death). It is anticipated that approximately 60% of the patients will develop SS.
Data will be stored in an anonymized, encrypted, web-based patient registry. Bivariable analyses will be performed to identify and validate biomarker differences between groups. Furthermore, we intend to perform predictive modeling using multivariable analyses of the validated biomarkers and derive a biomarker panel and algorithm for early diagnosis of SS. The predictive value of the biomarker panel for early diagnosis of SS will be compared with established prognostic indices, such as metabolic endpoints and APACHE II score. Novel biomarkers of severe CAP will be identified by mass spectrometry of patient EDTA plasma samples. Subject to availability of multiplexed immunoassays, some of these biomarkers will be replicated by immunoassay in the same samples.
During the period of award, a plan for IVD development of the biomarker panel for early diagnosis of SS will be developed. This is anticipated to involve assay optimization and transfer to an existing, validated IVD platform, FDA-regulated IVD development processes, and incorporation of the IVD into an intensive treatment algorithm. The proposed IVD will be an oligoplex assay performed on a single blood sample using immunoassays on an established diagnostic platform with time-to-first result of less than 30 minutes and capable of use in a POC setting, such as an ED or ICU.
Specific Aim 2: Biomarker development for early differentiation of poor outcome in CAP Complications of CAP, including respiratory failure, other organ system failure and severe sepsis, are major determinants of morbidity and mortality. At time of presentation with CAP, accurate identification of patients who will have a complicated course or poor outcome is critical for effective management and positive outcome. In parallel with Specific Aim 1, we propose to identify biomarkers for early diagnosis/prognosis of poor outcome in patients with CAP ("severe CAP"). The biomarkers will be several, host response, plasma proteins that differentiate mild and severe CAP. Early diagnosis of severe CAP will enable patient selection for hospitalization, thereby reducing mortality and increasing effectiveness of resource allocation.
It is anticipated that approximately 33% of the patients enrolled in the Specific Aim 1 clinical study (evidence of infection and two or more SIRS criteria) will have CAP as the underlying infection causing sepsis. Furthermore, it is anticipated that approximately 25% of these CAP patients will develop severe CAP. Specific aim 2 proposes a secondary, separate analysis of all patients enrolled in the Specific Aim 1 clinical study who have CAP in order to identify biomarkers for early diagnosis of severe CAP. We propose to inventory existing candidate biomarkers of severe CAP through literature review. Furthermore, we propose to validate the utility of some of these biomarkers, and to identify a number of novel biomarkers of severe CAP through analysis of the subset of patients in the prospective clinical study who have CAP and employing 2 proteomic technologies (mass spectrometry and multiplexed immunoassays), mass spectrometry-based plasma metabolomics and sequencing of mRNA derived from peripheral blood lymphocytes. Bivariable analyses will be performed to identify plasma biomarker differences between mild and severe CAP. Multivariable analyses will be performed in order to derive a plasma biomarker panel and algorithm for early diagnosis of severe CAP. The biomarker panel for early diagnosis of severe CAP will be compared with established prognostic indices, such as PORT score. Novel biomarkers of severe CAP will be identified by mass spectrometry of patient EDTA plasma samples.
Subject to availability of multiplexed immunoassays, some of these biomarkers will be replicated by immunoassay in the same samples.
During the period of award, a plan for panel validation and IVD development for early diagnosis of severe CAP will be developed. The latter is anticipated to involve assay optimization and transfer to an existing, validated IVD platform, FDA regulated IVD development processes, and incorporation of the IVD into an intensive treatment algorithm. The proposed IVD will be an oligoplex assay performed on a single blood sample using immunoassays on an established diagnostic platform with time-to-first result of less than 30 minutes and capable of use in a POC setting, such as an ED or ICU. This is anticipated to be a product line extension of the SS IVD.
Specific Aim 3: Biomarker development for early differentiation of sepsis and CAP pathogens Currently, initial antimicrobial treatment of sepsis and CAP is empiric. Common etiologic agents in sepsis are gram-positive bacteria (Staphylococcus spp. and Streptococcus spp.), gram-negative bacteria (e.g., Escherichia coli, Klebsiella spp., and Enterobacter spp.), and fungi (Candida spp.). Common etiologic agents in CAP are Streptococcus pneumoniae, Legionella pneumophila, Mycoplasma spp., and viruses. The ability to distinguish these pathogens at time of presentation of sepsis or CAP would potentially allow more targeted rather than broad-spectrum initial therapy. Earlier administration of appropriate antimicrobials would lower patient management cost associated with ineffective therapy and lessen likelihood of antibiotic resistance. We propose to identify host biomarkers for early differentiation of up to 4 common etiologic agents in sepsis and CAP. Our preliminary studies have established proof-of-concept for differentiation between classes of pathogens in sepsis based on specific differences in soluble host proteins in a blood sample. Based on our preliminary studies, it is anticipated that approximately 25% of patients in the Specific Aim 1 clinical study will have a positive blood culture. At least 33 of these patients are anticipated to have S. aureus bacteremia and 20 gram negative bacteremia. Specific Aim 3 proposes to compare plasma samples from patients with S. aureus and gram negative bacteremia in order to identify host biomarkers for early differentiation of specific class agent in sepsis. As in specific aims 1 and 2, bivariable and multivariable analyses of biomarkers is proposed to develop a biomarker panel for early differentiation of staphylococcal and gram-negative sepsis. Similar analysis is proposed to differentiate CAP pathogens. However, given the absence of a high-sensitivity, gold-standard method for determination of causal pathogen in CAP, Specific Aim 3 proposes the more conservative goal of differentiating pneumococcal CAP from atypical CAP based on quantitative differences in host blood biomarkers. The pneumococcal CAP group will be selected from the clinical studydataset based on rigorous criteria: S. pneumoniae from blood or sputum culture or detection of pneumococcal antigen in urine, clinical evidence of CAP and typical (lobar consolidation) chest radiograph. The nonpneumococcal CAP group will be determined by negative pneumococcal cultures and urine antigen, clinical evidence of CAP, and an atypical chest radiograph. It is anticipated that at least 20 patients (15% of the 133 with CAP) will have confirmed pneumococcal CAP and 40 patients (30%) atypical, non-pneumococcal CAP. Biomarkers for differentiation of i. S. aureus bacteremia from gram-negative bacteremia, and ii. pneumococcal CAP from atypical CAP, will be identified by mass spectrometry of patient EDTA plasma samples. Subject to availability of multiplexed immunoassays, some of these biomarkers will be replicated by immunoassay in the same samples. It should be noted that given budget-imposed reduction in patient enrollment of one third from that originally proposed, we are uncertain that sufficient patients will be enrolled for all Specific Aim 3 analyses to be meaningful. We propose to evaluate the group sizes of enrolled patients by specific class agent in order to select two specific comparisons between sepsis and CAP pathogens that are of sufficient size to permit meaningful analysis.
Validation and development of these biomarkers into biomarker panels and rapid, POC, IVD for early differentiation of pathogen in sepsis and CAP is intended, but is beyond the scope of the present proposal. A product line extension of the SS IVD is envisaged. Like the test for early diagnosis of SS, the IVD(s) for early differentiation of CAP and sepsis pathogens will be oligoplex assay(s) performed on single blood sample(s) using immunoassays or other analyte assays.
Specific Aim 1: Discovery and initial development of an IVD for early diagnosis of severe sepsis.
In patients with suspected sepsis, early, accurate identification of patients who will develop organ dysfunction (SS) is critical for effective management and positive outcome. While the American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference definitions provide a clinical guide to identifying patients who have SS, we propose to develop a rapid, point-of-care (POC) IVD for early diagnosis of SS. The basis of the proposed IVD will be the measurement of several, host response, plasma proteins. When performed in patients at the earliest stage of sepsis, this test will have prognostic value, rapidly identifying patients who will have poor outcomes or complicated courses.
Availability of this IVD will enable patient selection for appropriate disposition, such as the intensive care unit (ICU), and use of medical therapies, such as early goal-directed therapy (EGDT), thereby reducing mortality and increasing effectiveness of resource allocation. A considerable literature exists of host plasma protein changes during sepsis. Furthermore, in preliminary studies measuring more than 100 host proteins in blood of over 300 patients with SS, we have identified a number of candidate biomarkers of SS. We propose to inventory, replicate and validate the utility of these biomarkers of SS, and to identify novel plasma biomarkers of SS, through literature review and a prospective clinical study employing 2 proteomic technologies (mass spectrometry and multiplexed immunoassays), mass spectrometry-based plasma metabolomics and sequencing of mRNA derived from peripheral blood lymphocytes. We intend to enroll 1200 patients with sepsis (evidence of infection and 2 or more criteria of the systemic inflammatory response syndrome, SIRS) at 3 US tertiary care hospitals and emergency departments (ED), and to monitor their course both by established clinical severity indices (Acute Physiology and Chronic Health Evaluation \[APACHE II\] and Pneumonia Patient Outcomes Research Team \[PORT\]scores, and metabolic endpoints such as lactate, base deficit and pH) and ascertainment of complicating events (such as SS, septic shock, acute renal failure (ARF), acute respiratory distress syndrome (ARDS),disseminated intravascular coagulopathy (DIC) and death). It is anticipated that approximately 60% of the patients will develop SS.
Data will be stored in an anonymized, encrypted, web-based patient registry. Bivariable analyses will be performed to identify and validate biomarker differences between groups. Furthermore, we intend to perform predictive modeling using multivariable analyses of the validated biomarkers and derive a biomarker panel and algorithm for early diagnosis of SS. The predictive value of the biomarker panel for early diagnosis of SS will be compared with established prognostic indices, such as metabolic endpoints and APACHE II score. Novel biomarkers of severe CAP will be identified by mass spectrometry of patient EDTA plasma samples. Subject to availability of multiplexed immunoassays, some of these biomarkers will be replicated by immunoassay in the same samples.
During the period of award, a plan for IVD development of the biomarker panel for early diagnosis of SS will be developed. This is anticipated to involve assay optimization and transfer to an existing, validated IVD platform, FDA-regulated IVD development processes, and incorporation of the IVD into an intensive treatment algorithm. The proposed IVD will be an oligoplex assay performed on a single blood sample using immunoassays on an established diagnostic platform with time-to-first result of less than 30 minutes and capable of use in a POC setting, such as an ED or ICU.
Specific Aim 2: Biomarker development for early differentiation of poor outcome in CAP Complications of CAP, including respiratory failure, other organ system failure and severe sepsis, are major determinants of morbidity and mortality. At time of presentation with CAP, accurate identification of patients who will have a complicated course or poor outcome is critical for effective management and positive outcome. In parallel with Specific Aim 1, we propose to identify biomarkers for early diagnosis/prognosis of poor outcome in patients with CAP ("severe CAP"). The biomarkers will be several, host response, plasma proteins that differentiate mild and severe CAP. Early diagnosis of severe CAP will enable patient selection for hospitalization, thereby reducing mortality and increasing effectiveness of resource allocation.
It is anticipated that approximately 33% of the patients enrolled in the Specific Aim 1 clinical study (evidence of infection and two or more SIRS criteria) will have CAP as the underlying infection causing sepsis. Furthermore, it is anticipated that approximately 25% of these CAP patients will develop severe CAP. Specific aim 2 proposes a secondary, separate analysis of all patients enrolled in the Specific Aim 1 clinical study who have CAP in order to identify biomarkers for early diagnosis of severe CAP. We propose to inventory existing candidate biomarkers of severe CAP through literature review. Furthermore, we propose to validate the utility of some of these biomarkers, and to identify a number of novel biomarkers of severe CAP through analysis of the subset of patients in the prospective clinical study who have CAP and employing 2 proteomic technologies (mass spectrometry and multiplexed immunoassays), mass spectrometry-based plasma metabolomics and sequencing of mRNA derived from peripheral blood lymphocytes. Bivariable analyses will be performed to identify plasma biomarker differences between mild and severe CAP. Multivariable analyses will be performed in order to derive a plasma biomarker panel and algorithm for early diagnosis of severe CAP. The biomarker panel for early diagnosis of severe CAP will be compared with established prognostic indices, such as PORT score. Novel biomarkers of severe CAP will be identified by mass spectrometry of patient EDTA plasma samples.
Subject to availability of multiplexed immunoassays, some of these biomarkers will be replicated by immunoassay in the same samples.
During the period of award, a plan for panel validation and IVD development for early diagnosis of severe CAP will be developed. The latter is anticipated to involve assay optimization and transfer to an existing, validated IVD platform, FDA regulated IVD development processes, and incorporation of the IVD into an intensive treatment algorithm. The proposed IVD will be an oligoplex assay performed on a single blood sample using immunoassays on an established diagnostic platform with time-to-first result of less than 30 minutes and capable of use in a POC setting, such as an ED or ICU. This is anticipated to be a product line extension of the SS IVD.
Specific Aim 3: Biomarker development for early differentiation of sepsis and CAP pathogens Currently, initial antimicrobial treatment of sepsis and CAP is empiric. Common etiologic agents in sepsis are gram-positive bacteria (Staphylococcus spp. and Streptococcus spp.), gram-negative bacteria (e.g., Escherichia coli, Klebsiella spp., and Enterobacter spp.), and fungi (Candida spp.). Common etiologic agents in CAP are Streptococcus pneumoniae, Legionella pneumophila, Mycoplasma spp., and viruses. The ability to distinguish these pathogens at time of presentation of sepsis or CAP would potentially allow more targeted rather than broad-spectrum initial therapy. Earlier administration of appropriate antimicrobials would lower patient management cost associated with ineffective therapy and lessen likelihood of antibiotic resistance. We propose to identify host biomarkers for early differentiation of up to 4 common etiologic agents in sepsis and CAP. Our preliminary studies have established proof-of-concept for differentiation between classes of pathogens in sepsis based on specific differences in soluble host proteins in a blood sample. Based on our preliminary studies, it is anticipated that approximately 25% of patients in the Specific Aim 1 clinical study will have a positive blood culture. At least 33 of these patients are anticipated to have S. aureus bacteremia and 20 gram negative bacteremia. Specific Aim 3 proposes to compare plasma samples from patients with S. aureus and gram negative bacteremia in order to identify host biomarkers for early differentiation of specific class agent in sepsis. As in specific aims 1 and 2, bivariable and multivariable analyses of biomarkers is proposed to develop a biomarker panel for early differentiation of staphylococcal and gram-negative sepsis. Similar analysis is proposed to differentiate CAP pathogens. However, given the absence of a high-sensitivity, gold-standard method for determination of causal pathogen in CAP, Specific Aim 3 proposes the more conservative goal of differentiating pneumococcal CAP from atypical CAP based on quantitative differences in host blood biomarkers. The pneumococcal CAP group will be selected from the clinical studydataset based on rigorous criteria: S. pneumoniae from blood or sputum culture or detection of pneumococcal antigen in urine, clinical evidence of CAP and typical (lobar consolidation) chest radiograph. The nonpneumococcal CAP group will be determined by negative pneumococcal cultures and urine antigen, clinical evidence of CAP, and an atypical chest radiograph. It is anticipated that at least 20 patients (15% of the 133 with CAP) will have confirmed pneumococcal CAP and 40 patients (30%) atypical, non-pneumococcal CAP. Biomarkers for differentiation of i. S. aureus bacteremia from gram-negative bacteremia, and ii. pneumococcal CAP from atypical CAP, will be identified by mass spectrometry of patient EDTA plasma samples. Subject to availability of multiplexed immunoassays, some of these biomarkers will be replicated by immunoassay in the same samples. It should be noted that given budget-imposed reduction in patient enrollment of one third from that originally proposed, we are uncertain that sufficient patients will be enrolled for all Specific Aim 3 analyses to be meaningful. We propose to evaluate the group sizes of enrolled patients by specific class agent in order to select two specific comparisons between sepsis and CAP pathogens that are of sufficient size to permit meaningful analysis.
Validation and development of these biomarkers into biomarker panels and rapid, POC, IVD for early differentiation of pathogen in sepsis and CAP is intended, but is beyond the scope of the present proposal. A product line extension of the SS IVD is envisaged. Like the test for early diagnosis of SS, the IVD(s) for early differentiation of CAP and sepsis pathogens will be oligoplex assay(s) performed on single blood sample(s) using immunoassays or other analyte assays.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Sepsis
Septicemia
Sepsis Syndrome
Shock, Septic
Community Acquired Pneumonia
Keywords
Explore important study keywords that can help with search, categorization, and topic discovery.
prospective studies
biological assay
body weights and measures
chemistry, analytical
microchip analytical procedures
spectrum analysis, mass
molecular diagnostic techniques
microbiological techniques
drug administration schedule
data collection
statistics
gene expression profiling
sequence analysis
human experimentation
immunoassay
Trauma severity indices
Glasgow Coma score
Outcome assessment
mortality
computer models
decision modeling
linear models
logistic models
immunologic model
mathematical model
non-linear models
early diagnosis
diagnosis, computer assisted
medical informatics
prognosis
registries
computational biology
systems biology
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
Observational Model Type
COHORT
Study Time Perspective
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
1
Emergency department patients with sepsis
No interventions assigned to this group
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
1\. Patient has known or acute infection or suspected infection AND patient must meet at least 2 of the following 4 criteria to be enrolled
1. A core temperature of \>= 38°C (100.4°F) or \<= 36°C (96.8°F)
2. Patients \> 18 years of age, Heart rate of \>= 90 beats/min Patients 13-18 years of age, Heart rate of \>= 110 beats/min Patients 6-12 years of age, Heart rate of \>= 130 beats/min
3. Patients \> 18 years of age, Respiratory rate of \>= 20 breaths/min Patients 13-18 years of age, Respiratory rate of \>= 14 breaths/min Patients 6-12 years of age, Respiratory rate of \>= 18 breaths/min OR PaCO2 of \<= 32 mm Hg OR Use of Mechanical Ventilation for an acute respiratory process
4. Patients \> 18 years of age, White cell count \>= 12,000/mm3 or \<= 4,000/mm3 Patients 13-18 years of age, White cell count \>= 11,000/mm3 or \<= 4,500/mm3 Patients 6-12 years of age, White cell count \>= 13,500/mm3 or \<= 4,500/mm3 OR A differential count showing \> 10% immature neutrophils
1. A core temperature of \>= 38°C (100.4°F) or \<= 36°C (96.8°F)
2. Patients \> 18 years of age, Heart rate of \>= 90 beats/min Patients 13-18 years of age, Heart rate of \>= 110 beats/min Patients 6-12 years of age, Heart rate of \>= 130 beats/min
3. Patients \> 18 years of age, Respiratory rate of \>= 20 breaths/min Patients 13-18 years of age, Respiratory rate of \>= 14 breaths/min Patients 6-12 years of age, Respiratory rate of \>= 18 breaths/min OR PaCO2 of \<= 32 mm Hg OR Use of Mechanical Ventilation for an acute respiratory process
4. Patients \> 18 years of age, White cell count \>= 12,000/mm3 or \<= 4,000/mm3 Patients 13-18 years of age, White cell count \>= 11,000/mm3 or \<= 4,500/mm3 Patients 6-12 years of age, White cell count \>= 13,500/mm3 or \<= 4,500/mm3 OR A differential count showing \> 10% immature neutrophils
Exclusion Criteria
1. Patient is less than 6 years of age.
2. Patient is not expected to survive 28 days because of uncorrectable medical condition (apart from pneumonia or sepsis), such as poorly controlled neoplasm or other end-stage disease, or patient has active DNR order
3. Human immunodeficiency virus (HIV) infection with a last known CD4 count of \<50 mm3
4. Acute presence of a cerebral vascular event, active gastrointestinal hemorrhage, seizure (acute episode), drug overdose, burn injury, trauma
5. Patient is pregnant
2. Patient is not expected to survive 28 days because of uncorrectable medical condition (apart from pneumonia or sepsis), such as poorly controlled neoplasm or other end-stage disease, or patient has active DNR order
3. Human immunodeficiency virus (HIV) infection with a last known CD4 count of \<50 mm3
4. Acute presence of a cerebral vascular event, active gastrointestinal hemorrhage, seizure (acute episode), drug overdose, burn injury, trauma
5. Patient is pregnant
Minimum Eligible Age
6 Years
Eligible Sex
ALL
Accepts Healthy Volunteers
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
National Institute of Allergy and Infectious Diseases (NIAID)
NIH
Sponsor Role
collaborator
Duke University
OTHER
Sponsor Role
collaborator
Henry Ford Hospital
OTHER
Sponsor Role
collaborator
Durham VA Medical Center
FED
Sponsor Role
collaborator
Pfizer
INDUSTRY
Sponsor Role
collaborator
Hoffmann-La Roche
INDUSTRY
Sponsor Role
collaborator
National Center for Genome Resources
OTHER
Sponsor Role
lead
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
National Center for Genome Resources
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Stephen F Kingsmore, MB ChB BAO
Role: PRINCIPAL_INVESTIGATOR
National Center for Genome Resources
Vance Jr G Fowler, MD
Role: STUDY_DIRECTOR
Duke University
Emanuel P Rivers, MD
Role: STUDY_DIRECTOR
Henry Ford Hospital
Christopher W Woods, MD
Role: STUDY_DIRECTOR
Duke University
Ralph G Corey, MD
Role: STUDY_DIRECTOR
Duke University
Ronny Otero, MD
Role: STUDY_DIRECTOR
Henry Ford Hospital
Brian W Grinnell, PhD
Role: STUDY_DIRECTOR
Eli Lilly and Company
Brian T Edmonds, PhD
Role: STUDY_DIRECTOR
Eli Lilly and Company
Mu Wang, PhD
Role: STUDY_DIRECTOR
INCAPS
James R Ludwig, PhD
Role: STUDY_DIRECTOR
INCAPS
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Henry Ford Hospital
Detroit, Michigan, United States
Site Status
RECRUITING
Duke University Medical Center
Durham, North Carolina, United States
Site Status
RECRUITING
Durham VA Medical Center
Durham, North Carolina, United States
Site Status
RECRUITING
Countries
Review the countries where the study has at least one active or historical site.
United States
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
Emanuel P Rivers, MD
Role: primary
Vance G Fowler, MD
Role: primary
Christopher Woods, MD
Role: primary
References
Explore related publications, articles, or registry entries linked to this study.
Perlee LT, Christiansen J, Dondero R, Grimwade B, Lejnine S, Mullenix M, Shao W, Sorette M, Tchernev VT, Patel DD, Kingsmore SF. Development and standardization of multiplexed antibody microarrays for use in quantitative proteomics. Proteome Sci. 2004 Dec 15;2:9. doi: 10.1186/1477-5956-2-9. eCollection 2004.
Reference Type
BACKGROUND
Schweitzer B, Roberts S, Grimwade B, Shao W, Wang M, Fu Q, Shu Q, Laroche I, Zhou Z, Tchernev VT, Christiansen J, Velleca M, Kingsmore SF. Multiplexed protein profiling on microarrays by rolling-circle amplification. Nat Biotechnol. 2002 Apr;20(4):359-65. doi: 10.1038/nbt0402-359.
Reference Type
BACKGROUND
Kingsmore SF, Patel DD. Multiplexed protein profiling on antibody-based microarrays by rolling circle amplification. Curr Opin Biotechnol. 2003 Feb;14(1):74-81. doi: 10.1016/s0958-1669(02)00019-8.
Reference Type
BACKGROUND
Kaukola T, Satyaraj E, Patel DD, Tchernev VT, Grimwade BG, Kingsmore SF, Koskela P, Tammela O, Vainionpaa L, Pihko H, Aarimaa T, Hallman M. Cerebral palsy is characterized by protein mediators in cord serum. Ann Neurol. 2004 Feb;55(2):186-94. doi: 10.1002/ana.10809.
Reference Type
BACKGROUND
Kader HA, Tchernev VT, Satyaraj E, Lejnine S, Kotler G, Kingsmore SF, Patel DD. Protein microarray analysis of disease activity in pediatric inflammatory bowel disease demonstrates elevated serum PLGF, IL-7, TGF-beta1, and IL-12p40 levels in Crohn's disease and ulcerative colitis patients in remission versus active disease. Am J Gastroenterol. 2005 Feb;100(2):414-23. doi: 10.1111/j.1572-0241.2005.40819.x.
Reference Type
BACKGROUND
Heuer JG, Cummins DJ, Edmonds BT. Multiplex proteomic approaches to sepsis research: case studies employing new technologies. Expert Rev Proteomics. 2005 Oct;2(5):669-80. doi: 10.1586/14789450.2.5.669.
Reference Type
BACKGROUND
Rivers EP, Nguyen HB, Huang DT, Donnino M. Early goal-directed therapy. Crit Care Med. 2004 Jan;32(1):314-5; author reply 315. doi: 10.1097/01.CCM.0000104937.09370.53. No abstract available.
Reference Type
BACKGROUND
Rivers E, Nguyen B, Havstad S, Ressler J, Muzzin A, Knoblich B, Peterson E, Tomlanovich M; Early Goal-Directed Therapy Collaborative Group. Early goal-directed therapy in the treatment of severe sepsis and septic shock. N Engl J Med. 2001 Nov 8;345(19):1368-77. doi: 10.1056/NEJMoa010307.
Reference Type
BACKGROUND
Rivers EP, McIntyre L, Morro DC, Rivers KK. Early and innovative interventions for severe sepsis and septic shock: taking advantage of a window of opportunity. CMAJ. 2005 Oct 25;173(9):1054-65. doi: 10.1503/cmaj.050632.
Reference Type
BACKGROUND
Heuer JG, Sharma GR, Gerlitz B, Zhang T, Bailey DL, Ding C, Berg DT, Perkins D, Stephens EJ, Holmes KC, Grubbs RL, Fynboe KA, Chen YF, Grinnell B, Jakubowski JA. Evaluation of protein C and other biomarkers as predictors of mortality in a rat cecal ligation and puncture model of sepsis. Crit Care Med. 2004 Jul;32(7):1570-8. doi: 10.1097/01.ccm.0000129488.54282.1a.
Reference Type
BACKGROUND
O'Brien LA, Gupta A, Grinnell BW. Activated protein C and sepsis. Front Biosci. 2006 Jan 1;11:676-98. doi: 10.2741/1827.
Reference Type
BACKGROUND
Tsalik EL, Khine A, Talebpour A, Samiei A, Parmar V, Burke TW, Mcclain MT, Ginsburg GS, Woods CW, Henao R, Alavie T. Rapid, Sample-to-Answer Host Gene Expression Test to Diagnose Viral Infection. Open Forum Infect Dis. 2019 Oct 30;6(11):ofz466. doi: 10.1093/ofid/ofz466. eCollection 2019 Nov.
Reference Type
DERIVED
Tsalik EL, Henao R, Montgomery JL, Nawrocki JW, Aydin M, Lydon EC, Ko ER, Petzold E, Nicholson BP, Cairns CB, Glickman SW, Quackenbush E, Kingsmore SF, Jaehne AK, Rivers EP, Langley RJ, Fowler VG, McClain MT, Crisp RJ, Ginsburg GS, Burke TW, Hemmert AC, Woods CW; Antibacterial Resistance Leadership Group. Discriminating Bacterial and Viral Infection Using a Rapid Host Gene Expression Test. Crit Care Med. 2021 Oct 1;49(10):1651-1663. doi: 10.1097/CCM.0000000000005085.
Reference Type
DERIVED
Tsalik EL, Langley RJ, Dinwiddie DL, Miller NA, Yoo B, van Velkinburgh JC, Smith LD, Thiffault I, Jaehne AK, Valente AM, Henao R, Yuan X, Glickman SW, Rice BJ, McClain MT, Carin L, Corey GR, Ginsburg GS, Cairns CB, Otero RM, Fowler VG Jr, Rivers EP, Woods CW, Kingsmore SF. An integrated transcriptome and expressed variant analysis of sepsis survival and death. Genome Med. 2014 Nov 26;6(11):111. doi: 10.1186/s13073-014-0111-5. eCollection 2014.
Reference Type
DERIVED
Glickman SW, Cairns CB, Otero RM, Woods CW, Tsalik EL, Langley RJ, van Velkinburgh JC, Park LP, Glickman LT, Fowler VG Jr, Kingsmore SF, Rivers EP. Disease progression in hemodynamically stable patients presenting to the emergency department with sepsis. Acad Emerg Med. 2010 Apr;17(4):383-90. doi: 10.1111/j.1553-2712.2010.00664.x.
Reference Type
DERIVED
Tsalik EL, Jones D, Nicholson B, Waring L, Liesenfeld O, Park LP, Glickman SW, Caram LB, Langley RJ, van Velkinburgh JC, Cairns CB, Rivers EP, Otero RM, Kingsmore SF, Lalani T, Fowler VG, Woods CW. Multiplex PCR to diagnose bloodstream infections in patients admitted from the emergency department with sepsis. J Clin Microbiol. 2010 Jan;48(1):26-33. doi: 10.1128/JCM.01447-09. Epub 2009 Oct 21.
Reference Type
DERIVED
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
0001
Identifier Type: -
Identifier Source: org_study_id