Clinical Study of Transcriptome-based Diagnostic Biomarker for Acute Febrile Illness
Transcriptome-based Diagnostic Biomarker for Acute Febrile Illness: a Cross-sectional Observational Study
1 other identifier
observational
900
1 country
1
Brief Summary
Acute febrile illness is the main cause of outpatient visits,and bacterial and viral infections remains the most common cause. The diagnosis of infection is still based on symptoms and traditional techniques, resulting in overuse of antibacterial drugs or delay in treatment. The signature of host transcripts has a potential to reveal different modes of host-pathogen interaction and may serve as a biomarker for infection discrimination. Of note, transcriptome-microarray and RNA-seq methods need sophisticated techniques and expertise interpretation, hampering the universal implement of these platforms in low-tier hospitals and under- resourced countries. This study explores transcriptome-based diagnostic biomarker for acute febrile illness , hoping to achieve rapid, accurate and cost-effective distinction between bacterial and viral infection.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Sep 2021
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 1, 2021
CompletedFirst Submitted
Initial submission to the registry
August 11, 2024
CompletedFirst Posted
Study publicly available on registry
August 14, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
August 30, 2025
CompletedAugust 14, 2024
November 1, 2023
3.3 years
August 11, 2024
August 11, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
AUC for distinguishing bacterial infection from viral infection
The AUC of the transcript biomarkers for distinguishing bacterial infection from viral infection reflects the diagnostic accuracy of the transcript biomarkers.
Through study completion, an average of 2 years
Secondary Outcomes (1)
AUC for distinguishing infectious disease from noninfectious disease
Through study completion, an average of 2 years
Study Arms (3)
Bacterial infection
Individuals with acute fever whose positive bacteria isolated from sterile or non-sterile sites have pathological characteristics.
Viral infection
Individuals with acute fever whose viral nucleic acid test and/or serological positive compatible with acute syndrome#(e.g. serology, PCR).
non-infectious group
Individuals with acute fever whose have negative findings in cultures and PCR; negative image modality findings suspected for infection; confirmed or highly likely other diagnosis; improvement without antibiotics.
Interventions
Pathogens such as bacteria and viruses invade the human body, grow, and proliferation, triggering an immune response.
Eligibility Criteria
Individuals who have an axillary temperature of 38°C or higher, with a fever duration of less than 14 days.
You may qualify if:
- \. axillary temperature ≥38°C; 2. duration of fever shorter than 14 days; 3. subjects who are fully informed and agree to participate in this study.
You may not qualify if:
- having comorbidities that may affect host gene expression, such as advanced malignancy, autoimmune diseases,immunodeficiency, or taking immune suppressors; 2.pregnancy; 3. mixed infection (viral combined with bacterial infection, autoimmune disease combined with bacterial infection); 4.incomplete clinical information; 5. For safety reasons or the interests of patients, clinicians believe that patients should not participate in any situation in this study.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Qilu Hospital of Shandong University
Jinan, Shandong, 250012, China
Biospecimen
2-3ml of peripheral blood samples collected by each patient were divided into two parts, one part was added with trizol for subsequent RT-PCR, and the other part was used for separating serum and detecting serum biomarker.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Gang Wang
Qilu Hospital of Shandong University
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 11, 2024
First Posted
August 14, 2024
Study Start
September 1, 2021
Primary Completion
December 31, 2024
Study Completion
August 30, 2025
Last Updated
August 14, 2024
Record last verified: 2023-11