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This study is a single-center, prospective, retrospective study. In this study, the serum samples and alveolar lavage fluid of patients with sepsis complicated with ARDS were studied by using high performance liquid chromatography (HPLC) tandem electrospray four-stage rod time-of-flight mass spectrometry (LC-ESI-Q-TOF-MS). Aim to screen out the different metabolites between patients with mild and moderate/severe sepsis complicated with ARDS. HO-1 protein, oxidative stress and inflammatory markers in serum and alveolar lavage fluid were measured simultaneously to explore the relationship between HO-1, oxidative inflammatory markers and metabolic markers. In addition, a biomarker model was established to provide an important reference for assisting ARDS disease management and predicting the adverse outcome of patients with sepsis complicated with ARDS.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control | Non-sepsis and non-ARDS adults receiving mechanical ventilation | ||
| Sepsis complicated with mild ARDS | Patients who meet the criteria of sepsis-3, and also meet the criteria of Berlin diagnostic for mild ARDS | ||
| Sepsis complicated with moderate/severe ARDS | Patients who meet the criteria of sepsis-3, and also meet the criteria of Berlin diagnostic for moderate/severe ARDS |
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| Measure | Description | Time Frame |
|---|---|---|
| Multivariate data analysis of the metabolites | Record the different metabolites between the control group and ARDS patients | an average of 1 year |
| Multivariate data analysis of the metabolites | Record the different metabolites between the patient with mild ARDS and with moderate/severe ARDS | 12 months |
| Measure | Description | Time Frame |
|---|---|---|
| Screening of differentially expressed metabolites as potential mortality predictors for sepsis complicated with ARDS | Investigated the metabolites to distinguish the non-survivors from the survivors of sepsis complicated with ARDS | an average of 1 year |
| Pathway Analysis of the differential metabolites |
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Inclusion Criteria:
Exclusion Criteria:
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Adult patients with sepsis complicated with ARDS
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| Name | Affiliation | Role |
|---|---|---|
| Jianbo Yu, MD,PhD | Tianjin Nankai Hospital | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Tianjin NanKai hospital | Tianjin | Tianjin Municipality | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32354336 | Background | Xu J, Pan T, Qi X, Tan R, Wang X, Liu Z, Tao Z, Qu H, Zhang Y, Chen H, Wang Y, Zhang J, Wang J, Liu J. Increased mortality of acute respiratory distress syndrome was associated with high levels of plasma phenylalanine. Respir Res. 2020 Apr 30;21(1):99. doi: 10.1186/s12931-020-01364-6. | |
| 30779905 | Background |
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All of the individual participant data collected during the trial,after deidentification will be shared.And anyone who wishes to acess the date will be available for any purpose.
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| ID | Term |
|---|---|
| D018805 | Sepsis |
| D012128 | Respiratory Distress Syndrome |
| D007249 | Inflammation |
| ID | Term |
|---|---|
| D007239 | Infections |
| D018746 | Systemic Inflammatory Response Syndrome |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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Blood samples and alveolar lavage fluid were collected from eligible patients within 24 hours after admission to ICU. The blood samples were collected and then placed in a layer at 4°C and centrifuged at 3000×g for 10 minutes. Then the sample were transferred to a cleaning tube and stored in a -80°C refrigerator, waiting for analysis of oxidation and inflammatory indicators.
Screened the differential metabolism pathway between mild ARDS and with moderate/severe ARDS, and screened the differential metabolism pathway between non-survivors and survivors |
| 12 months |
| Lin S, Yue X, Wu H, Han TL, Zhu J, Wang C, Lei M, Zhang M, Liu Q, Xu F. Explore potential plasma biomarkers of acute respiratory distress syndrome (ARDS) using GC-MS metabolomics analysis. Clin Biochem. 2019 Apr;66:49-56. doi: 10.1016/j.clinbiochem.2019.02.009. Epub 2019 Feb 16. |
| 32438561 | Background | Metwaly SM, Winston BW. Systems Biology ARDS Research with a Focus on Metabolomics. Metabolites. 2020 May 19;10(5):207. doi: 10.3390/metabo10050207. |
| 20889676 | Result | Stringer KA, Serkova NJ, Karnovsky A, Guire K, Paine R 3rd, Standiford TJ. Metabolic consequences of sepsis-induced acute lung injury revealed by plasma (1)H-nuclear magnetic resonance quantitative metabolomics and computational analysis. Am J Physiol Lung Cell Mol Physiol. 2011 Jan;300(1):L4-L11. doi: 10.1152/ajplung.00231.2010. Epub 2010 Oct 1. |
| 24289193 | Result | Evans CR, Karnovsky A, Kovach MA, Standiford TJ, Burant CF, Stringer KA. Untargeted LC-MS metabolomics of bronchoalveolar lavage fluid differentiates acute respiratory distress syndrome from health. J Proteome Res. 2014 Feb 7;13(2):640-9. doi: 10.1021/pr4007624. Epub 2013 Dec 9. |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D012120 | Respiration Disorders |