- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06157372
Detection of Pathogen and Antibiotic Resistance Genes by Targeted Next-Generation Sequencing in ICU Patients.
Detection of Pathogen and Antibiotic Resistance Genes by Targeted Next-Generation Sequencing Compared With Metagenomic Next-Generation Sequencing in ICU Patients.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Infectious diseases are one of the highest mortality and morbidity diseases in humans. Due to the difficulty in identifying the pathogen in the early stage of infection, patients with severe infections often need to empirically use broad-spectrum antimicrobials for a long time. The traditional gold standard of etiological detection - etiological culture, even in sepsis patients, only about 60% of the results are positive. Therefore, the accurate identification and rapid classification of pathogenic microorganisms is very important for the patient's precise diagnosis and timely treatment.
Metagenomic next generation sequencing (mNGS), which has emerged in recent years, have been shown to provide early diagnosis and targeted medication guidance for bloodstream infections and respiratory infections, but it is expensive and not able to provide related drug resistant genes. Therefore, targeted next generation sequencing (tNGS) has been derived, which is characterized by rapid sequencing and genetic testing for drug resistance.
The purpose of this study is to evaluate the efficacy of etiological diagnosis and provide patients with more accurate treatment.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Ting Li
- Phone Number: 011-86-15608657562
- Email: 3423580562@qq.com
Study Contact Backup
- Name: Fangyi Li
- Phone Number: 011-86-15603056533
- Email: Lify8@mailsysu.edu.cn
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- The presence of an infection or clearly excluded the presence of infection.
- Etiological culture and/or metagenomic next-generation sequencing detection of specimens sent for testing.
Exclusion Criteria:
- Suspected infection.
- Participation in other clinical trials in the past 2 months.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Non-Infection group
Participants received traditional etiological culture of suspected site of infection.
|
To provide rapid etiological diagnosis of patients by means of targeted next-generation sequencing.
|
Infection group
Participants received traditional etiological culture, metagenomic next-generation sequencing of infectious sites.
|
To provide rapid etiological diagnosis of patients by means of targeted next-generation sequencing.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Sensitivity
Time Frame: 1 year
|
The probability of being positive in clinical composite diagnosis, the probability that etiological culture, mNGS, and tNGS tests are also positive, which is also known as the true positive rate.
|
1 year
|
Specificity
Time Frame: 1 year
|
It refers to the probability that cultures, mNGS, and tNGS tests are also negative in the presence of non-infection confirmed by the gold standard.
|
1 year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
False-positive rate
Time Frame: 1 year
|
It refers to the probability that the gold-standard confirmed absence of infection is also positive for etiological culture, mNGS, and tNGS tests.
|
1 year
|
False-negative rate
Time Frame: 1 year
|
It refers to the probability of being positive in the clinical composite diagnosis, and the probability that etiological cultures, mNGS, and tNGS tests will also be negative.
|
1 year
|
Positive predictive value
Time Frame: 1 year
|
Positive predictive value is the probability that subjects with a positive test truly have the disease.
|
1 year
|
Negative predictive value
Time Frame: 1 year
|
Negative predictive value is the probability that subjects with a negative screening test truly don't have the disease.
|
1 year
|
Kappa values
Time Frame: 1 year
|
Kappa values are used to measure the agreement between two raters.
The range of possible values of kappa is from -1 to 1, though it usually falls between 0 and 1. Unity represents perfect agreement, indicating that the raters agree in their classification of every case.
Kappa values of 0.41~0.60 are moderately consistent, 0.61~0.80 are basically consistent, and 0.81~1.00 is almost identical.
|
1 year
|
Drug resistant gene by targeted next-generation sequencing
Time Frame: 1 year
|
It refers to the distribution of drug resistance by targeted next-generation sequencing using the Comprehensive Antibiotic Resistance Database.
|
1 year
|
Collaborators and Investigators
Investigators
- Study Director: Zhijie He, Sun Yat-sen Memorial Hospital,Sun Yat-sen University
Publications and helpful links
General Publications
- Chiu CY, Miller SA. Clinical metagenomics. Nat Rev Genet. 2019 Jun;20(6):341-355. doi: 10.1038/s41576-019-0113-7.
- Diao Z, Han D, Zhang R, Li J. Metagenomics next-generation sequencing tests take the stage in the diagnosis of lower respiratory tract infections. J Adv Res. 2021 Sep 29;38:201-212. doi: 10.1016/j.jare.2021.09.012. eCollection 2022 May.
- Miao Q, Ma Y, Wang Q, Pan J, Zhang Y, Jin W, Yao Y, Su Y, Huang Y, Wang M, Li B, Li H, Zhou C, Li C, Ye M, Xu X, Li Y, Hu B. Microbiological Diagnostic Performance of Metagenomic Next-generation Sequencing When Applied to Clinical Practice. Clin Infect Dis. 2018 Nov 13;67(suppl_2):S231-S240. doi: 10.1093/cid/ciy693.
- Pei XM, Yeung MHY, Wong ANN, Tsang HF, Yu ACS, Yim AKY, Wong SCC. Targeted Sequencing Approach and Its Clinical Applications for the Molecular Diagnosis of Human Diseases. Cells. 2023 Feb 2;12(3):493. doi: 10.3390/cells12030493.
- Li S, Tong J, Liu Y, Shen W, Hu P. Targeted next generation sequencing is comparable with metagenomic next generation sequencing in adults with pneumonia for pathogenic microorganism detection. J Infect. 2022 Nov;85(5):e127-e129. doi: 10.1016/j.jinf.2022.08.022. Epub 2022 Aug 26. No abstract available.
- Gaston DC, Miller HB, Fissel JA, Jacobs E, Gough E, Wu J, Klein EY, Carroll KC, Simner PJ. Evaluation of Metagenomic and Targeted Next-Generation Sequencing Workflows for Detection of Respiratory Pathogens from Bronchoalveolar Lavage Fluid Specimens. J Clin Microbiol. 2022 Jul 20;60(7):e0052622. doi: 10.1128/jcm.00526-22. Epub 2022 Jun 13.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- SYSKY-2023-667-03
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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