Application of NGS in Ascites Infection
Application of Next Generation Sequence in the Etiological Diagnosis of Abdominal Infection in Patients With Liver Disease
Liver cirrhosis is a common serious chronic disease. There are about 123 million patients with liver cirrhosis worldwide, and about 1 million people die of liver cirrhosis every year. The proportion of bacterial infection in hospitalized patients with liver cirrhosis is between 25% and 46%, among which spontaneous bacterial peritonitis (SBP) is the most common type of infection in patients with liver cirrhosis. After early and reasonable diagnosis and treatment, the mortality of cirrhotic patients with SBP can be reduced from more than 90% to about 20%. Therefore, rapid and accurate diagnosis is of great help to improve the prognosis of cirrhotic patients with SBP. However, at present, the traditional detection methods is time-consuming with a low detection rate, and can not detect intracellular bacteria and some other types of pathogens.
Next-generation sequencing (NGS) is a relatively new detection technology which can detect the nucleic acid sequence information in a high-throughput, large-scale way. It can detect the pathogens comprehensively, fast and accurately. In recent years, NGS has gradually transitioned from a research tool to a diagnostic method. Many studies have shown that NGS has better application value in bloodstream infections, ocular infectious diseases, central nervous system infectious diseases and respiratory infectious diseases. However, there is still a lack of research on the use of NGS for the detection of pathogenic microorganisms in ascites. Therefore, by comparing the next generation sequence (NGS) and traditional detection technology in the detection of pathogens in ascites, this study aimed to evaluate the value of NGS in the pathogenic diagnosis of ascites infection.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Taiyu He, Master
- Phone Number: +86 18423504023
- Email: 624055080@qq.com
Study Locations
-
-
Chongqing
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Chongqing, Chongqing, China, 400000
- Recruiting
- The Second Affiliated Hospital of Chongqing Medical University
-
Contact:
- Dazhi Zhang, M.D.
- Email: 300595@hospital.cqmu.edu.cn
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Willing and able to sign informed consent;
- Age ≥ 18 years old;
- Have full civil capacity;
- The amount of ascites is suitable for puncture;
- Ascites infection confirmed by clinical etiology test or clinically suspected ascites infection (such as elevated leukocyte count, elevated procalcitonin, abdominal inflammation indicated by imaging, etc.)
Exclusion Criteria:
- Those who cannot cooperate with the test;
- Those whose samples cannot be obtained by puncture;
- The cause of ascites is clear;
- Those who are considered to be not suitable for this study
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Cross-Sectional
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Patients with ascites infection
Patients who is confirmed with ascites infection or clinically diagnosed as ascites infection will be enrolled in this cohort.
|
Next generation sequence will be used to detect the pathogens in ascites.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Results of next generation sequence
Time Frame: within 10 days of patient enrollment in study
|
Pathogens detected by NGS
|
within 10 days of patient enrollment in study
|
|
Results of traditional detection methods
Time Frame: within 10 days of patient enrollment in study
|
Pathogens detected by traditional detection methods
|
within 10 days of patient enrollment in study
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Director: Dazhi Zhang, M.D., The Second Affiliated Hospital of Chongqing Medical University
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- Zhangdz2022
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
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