- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07533994
ACOD1 as a Prognostic Marker for Sepsis
The Role of Acod1 in Prognostic Evaluation of Sepsis: A Prospective, Single-Center, Observational Study
Study Overview
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Hubei
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Wuhan, Hubei, China
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
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Wuhan, Hubei, China
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College,Huazhong University of Science and Technology, Wuhan
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Adult patients aged 18-90 years diagnosed with sepsis according to the Sepsis-3 criteria within 24-48 hours of ICU admission, regardless of sex or ethnicity.
- Provision of written informed consent prior to enrollment.
Exclusion Criteria:
- Age < 18 years or ≥ 90 years;
- Pregnancy or lactation;
- Preexisting hematologic malignancy, prior receipt of antineoplastic radiotherapy or chemotherapy, or documented primary immunodeficiency or autoimmune disease;
- Receipt of inpatient systemic treatment for sepsis exceeding seven days following initial diagnosis;
- Participation in any interventional clinical trial within the preceding three months or concurrent enrollment in another clinical study at the time of screening;
- Inability or refusal to provide written informed consent.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Predictive performance of blood Acod1 gene expression for sepsis mortality
Time Frame: Within 24-48 hours of ICU admission
|
Total RNA was extracted from peripheral blood mononuclear cells (PBMCs) of enrolled patients, reverse-transcribed into cDNA, and Acod1 gene expression quantified by RT-qPCR.
The sensitivity and specificity of Acod1 gene expression for predicting sepsis mortality were assessed.
|
Within 24-48 hours of ICU admission
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Blood Acod1 gene expression detected by RT-qPCR
Time Frame: Within 24-48 hours of ICU admission
|
Total RNA was extracted from PBMCs isolated from enrolled patients, reverse-transcribed into cDNA, and Acod1 expression quantified by RT-qPCR.
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Within 24-48 hours of ICU admission
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Correlation between blood Acod1 gene expression and SOFA score
Time Frame: Within 24-48 hours of ICU admission
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Correlation analysis between Acod1 gene expression in PBMCs and Sequential Organ Failure Assessment (SOFA) score. The SOFA score is a tool used in intensive care to track the severity of organ dysfunction in six systems (respiratory, coagulation, liver, cardiovascular, central nervous system, and renal). Each system is scored from 0 (normal) to 4 (most severe), giving a total between 0 and 24. A rise of 2 points or more from baseline helps define sepsis, and higher scores correlate with increased mortality risk. |
Within 24-48 hours of ICU admission
|
|
Predictive performance of the SOFA score for sepsis mortality
Time Frame: Within 24-48 hours of ICU admission
|
After enrollment, patient data collected on the same day as RT-qPCR testing, including SOFA score, were analyzed to assess the sensitivity and specificity of the SOFA score for predicting sepsis mortality.
|
Within 24-48 hours of ICU admission
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Predictive performance of the blood neutrophil-to-lymphocyte ratio (NLR) for sepsis mortality
Time Frame: Within 24-48 hours of ICU admission
|
After enrollment, patient data collected on the same day as RT-qPCR testing, including the absolute number of neutrophils and lymphocytes, were analyzed to assess the sensitivity and specificity of the NLR for predicting sepsis mortality.
|
Within 24-48 hours of ICU admission
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Predictive performance of the APACHE II score for sepsis mortality
Time Frame: Within 24-48 hours of ICU admission
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After enrollment, the sensitivity and specificity of the Acute Physiology and Chronic Health Evaluation II (APACHE II) score for predicting sepsis mortality were assessed. The APACHE II scoring system comprises three components: the Acute Physiology Score (APS), an age score, and a chronic health score. The total score is the sum of these three components, with a theoretical maximum of 71 points-higher scores indicate more severe disease. The APS incorporates 12 physiological parameters and provides a formula to calculate the risk of death (R). The expected mortality rate for a cohort is derived by summing the R values of all patients and dividing by the total number of patients. Currently, APACHE II serves as a primary assessment tool for patients admitted to the ICU. |
Within 24-48 hours of ICU admission
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|
Predictive performance of the blood platelet-to-lymphocyte ratio (PLR) for sepsis mortality
Time Frame: Within 24-48 hours of ICU admission
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After enrollment, patient data collected on the same day as PCR testing, including the absolute number of platelets and lymphocytes, were analyzed to assess the sensitivity and specificity of the PLR for predicting sepsis mortality.
|
Within 24-48 hours of ICU admission
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Predictive performance of the blood neutrophils for sepsis mortality
Time Frame: Within 24-48 hours of ICU admission
|
After enrollment, patient data collected on the same day as RT-qPCR testing, including the absolute number of neutrophils, were analyzed to assess the sensitivity and specificity of the NLR score for predicting sepsis mortality.
|
Within 24-48 hours of ICU admission
|
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Predictive performance of the blood CRP for sepsis mortality
Time Frame: Within 24-48 hours of ICU admission
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After enrollment, patient data collected on the same day as RT-qPCR testing, including the serum level of C-reactive protein (CRP), were analyzed to assess the sensitivity and specificity of the NLR score for predicting sepsis mortality.
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Within 24-48 hours of ICU admission
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Predictive performance of arterial lactate concentration for sepsis mortality
Time Frame: Within 24-48 hours of ICU admission
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After enrollment, patient data collected on the same day as RT-qPCR testing, including the level of arterial lactate, were analyzed to assess the sensitivity and specificity of the NLR score for predicting sepsis mortality.
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Within 24-48 hours of ICU admission
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In-hospital mortality
Time Frame: Up to 4 weeks after inclusion
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Mortality rate during hospitalization.
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Up to 4 weeks after inclusion
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Il1β gene expression in the serum detected by RT-PCR
Time Frame: Within 24-48 hours of ICU admission
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Total RNA was extracted from PBMCs isolated from enrolled patients, reverse-transcribed into cDNA, and Il1β expression quantified by RT-qPCR.
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Within 24-48 hours of ICU admission
|
Collaborators and Investigators
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Pathologic Processes
- Infections
- Systemic Inflammatory Response Syndrome
- Inflammation
- Pathological Conditions, Signs and Symptoms
- Sepsis
- Investigative Techniques
- Specimen Handling
- Clinical Laboratory Techniques
- Diagnostic Techniques and Procedures
- Diagnosis
- Punctures
- Surgical Procedures, Operative
- Blood Specimen Collection
Other Study ID Numbers
- 0673 (Universitätsklinikum Erlangen)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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