Molecular Typing of Community-acquired Pneumonia Based on Multiple-omic Data Analysis
NCT ID: NCT03093220
Last Updated: 2017-03-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
500 participants
OBSERVATIONAL
2017-03-31
2018-12-31
Brief Summary
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As the development of multi-omic technologies, the relatedness of different phenotypes at a molecular level have revolutionized our ability to differentiate among patients. Our study is aimed at establishing a novel molecular typing method of CAP. Multi-omic (including genomics, transcriptomes, and metabolisms) data obtained from enrolled CAP patients and isolated pathogens would be integrated analyzed and interpreted. Tthe investigators believe that an appropriate molecular typing method would lead to revolutionary changes in current arrangements of CAP.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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community-acquired pneumonia
all adult patients (aged \> 16 years) admit to the 4 hospitals between March 2017 and March 2018 with CAP will be enrolled
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* diagnosed as community-acquired pneumonia
Exclusion Criteria
* history of long-term nursing home stays
* history of recently hospitalized (\<90 days)
16 Years
ALL
Yes
Sponsors
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CapitalBio Group Corporation
UNKNOWN
Chinese Academy of Sciences
OTHER_GOV
West China Hospital
OTHER
Second Hospital of Jilin University
OTHER
Shanghai Pulmonary Hospital, Shanghai, China
OTHER
Peking University People's Hospital
OTHER
Responsible Party
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Principal Investigators
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Zhancheng Gao, Professor
Role: STUDY_CHAIR
Department of Respiratory Critical Care Medicine
Locations
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Peking University People's Hospital
Beijing, Beijing Municipality, China
Countries
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Central Contacts
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Facility Contacts
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References
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Chen L, Xue J, Zhao L, He Y, Fu S, Ma X, Yu W, Tang Y, Wang Y, Gao Z. Lysophosphatidylcholine acyltransferase level predicts the severity and prognosis of patients with community-acquired pneumonia: a prospective multicenter study. Front Immunol. 2024 Jan 8;14:1295353. doi: 10.3389/fimmu.2023.1295353. eCollection 2023.
Yin L, Zhang Y, Zheng Y, Luo Q, Zhao L, Ni W, Xu Y, Gao Z. Early Detection of Aspergillus Species in Lower Respiratory Tract is Associated with Higher Mortality in Viral Community-Acquired Pneumonia: A Multicenter Prospective Cohort Study in China. Lung. 2023 Aug;201(4):387-396. doi: 10.1007/s00408-023-00638-2. Epub 2023 Jul 22.
Xie Y, Yu Y, Zhao L, Ning P, Luo Q, Zhang Y, Yin L, Zheng Y, Gao Z. Specific Cytokine Profiles Predict the Severity of Influenza A Pneumonia: A Prospectively Multicenter Pilot Study. Biomed Res Int. 2021 Oct 13;2021:9533044. doi: 10.1155/2021/9533044. eCollection 2021.
Chen L, Zhao L, Shang Y, Xu Y, Gao Z. Admission lysophosphatidylethanolamine acyltransferase level predicts the severity and prognosis of community-acquired pneumonia. Infection. 2021 Oct;49(5):877-888. doi: 10.1007/s15010-021-01585-x. Epub 2021 Mar 10.
Zheng Y, Ning P, Luo Q, He Y, Yu X, Liu X, Chen Y, Wang X, Kang Y, Gao Z. Inflammatory responses relate to distinct bronchoalveolar lavage lipidome in community-acquired pneumonia patients: a pilot study. Respir Res. 2019 May 2;20(1):82. doi: 10.1186/s12931-019-1028-8.
Luo Q, He X, Ning P, Zheng Y, Yang D, Xu Y, Shang Y, Gao Z. Admission Pentraxin-3 Level Predicts Severity of Community-Acquired Pneumonia Independently of Etiology. Proteomics Clin Appl. 2019 Jul;13(4):e1800117. doi: 10.1002/prca.201800117. Epub 2019 Feb 12.
Ning P, Zheng Y, Luo Q, Liu X, Kang Y, Zhang Y, Zhang R, Xu Y, Yang D, Xi W, Wang K, Chen Y, An S, Gao Z. Metabolic profiles in community-acquired pneumonia: developing assessment tools for disease severity. Crit Care. 2018 May 14;22(1):130. doi: 10.1186/s13054-018-2049-2.
Luo Q, Ning P, Zheng Y, Shang Y, Zhou B, Gao Z. Serum suPAR and syndecan-4 levels predict severity of community-acquired pneumonia: a prospective, multi-centre study. Crit Care. 2018 Jan 24;22(1):15. doi: 10.1186/s13054-018-1943-y.
Other Identifiers
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2016YFC0903800
Identifier Type: -
Identifier Source: org_study_id
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