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| Name | Class |
|---|---|
| Masaryk University | OTHER |
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Patients suffering from COVID-19 (Coronavirus Disease 2019) pneumonia are prone to bacterial and mycotic superinfection. According to existing evidence, the prevalence of superinfection is about 8% to 14% (95% CI 5-26%). However, the percentage of patients treated for superinfection is as high as 80%. There can be multiple reasons for this difference.
The inflammatory markers, such as C-reactive protein (CRP), procalcitonin (PCT), presepsin (PSP), interleukin-6 (IL-6) frequently used as diagnostic tools in COVID-19 (Coronavirus Disease 2019), are usually increased in these patients. This increase is a result of activation of systemic inflammatory cascade, part of COVID-19 pathophysiologic pathway. This can escalate to state known as COVID-19 associated hyperinflamation (COV-HI). In addition, current diagnostic tools for diagnosing HAP/VAP (hospital-acquired pneumonia and ventilator-associated pneumonia) are often limited in patients with COVID-19 pneumonia. The current method of choice for superinfection diagnosing is BAL (Bronchoalveolar Lavage). The COV-HI phenotype (COV-HI: CRP > 150 mg/L, or doubling within 24 h from greater than 50 mg/L, or ferritin concentration > 1500 ug/L) is associated with significantly worse course of illness and higher mortality rates. These inflammatory markers may be used preferentially as prognostication tools, not bacterial superinfection markers. The intention of this project is to investigate the role of currently used inflammatory biomarkers. Or eventually, to discover new parameters associated with superinfection proven by BAL.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients with COVID-19 pneumonia without superinfection | Patients with confirmed COVID-19 pneumonia not fulfilling criteria for diagnosis HAP/VAP (International ERS/ESICM/ESCMID/ALAT guidelines for the management of hospital-acquired pneumonia and ventilator-associated pneumonia ) |
| |
| Patients with COVID-19 pneumonia with superinfection | Patients with confirmed COVID-19 pneumonia fulfilling criteria for diagnosis HAP/VAP (International ERS/ESICM/ESCMID/ALAT guidelines for the management of hospital-acquired pneumonia and ventilator-associated pneumonia ) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Inflammatory markers sampling | Diagnostic Test | Laboratory sampling: Haematology: complete blood count, reticulocytes, IFP, PT, aPTT, fibrinogen, D-dimer Biochemical profile: urea, creatinine, bilirubin, ALT, AST, GGT, CK, LD, ferritin, troponin Inflammation markers IL-6, PCT (procalcitonin), CRP (C-reactive protein), PSP (presepsin) BALF (bronchoalveolar lavage fluid) processing protocol:
a. Multiplex PCR b. SARS-CoV-2 RNA load |
| Measure | Description | Time Frame |
|---|---|---|
| Inflammatory markers dynamics in participants with superinfection in COVID-19 pneumonia | To investigate the role of inflammatory markers (CRP, PCP, PSP, IL-6) as diagnostic tools for superinfection in COVID-19 pneumonia patients. | 28 days |
| Measure | Description | Time Frame |
|---|---|---|
| Mortality from any cause | To assess the association between hyperinflammatory phenotype and course of illness and mortality rates in COVID-19 pneumonia patients. | 28, 60, 90, 180, 360 days |
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Inclusion Criteria:
Exclusion Criteria: none
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COVID-19 diagnostics:
PCR test from nasopharyngeal swab or tracheal aspirate plus Chest X-ray/Computer tomography signs of pneumonia
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jan Maláska | Contact | +420532232009 | jan.malaska@gmail.com |
| Name | Affiliation | Role |
|---|---|---|
| Jan Maláska | Brno University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital Brno | Recruiting | Brno | 62500 | Czechia |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32358954 | Background | Rawson TM, Moore LSP, Zhu N, Ranganathan N, Skolimowska K, Gilchrist M, Satta G, Cooke G, Holmes A. Bacterial and Fungal Coinfection in Individuals With Coronavirus: A Rapid Review To Support COVID-19 Antimicrobial Prescribing. Clin Infect Dis. 2020 Dec 3;71(9):2459-2468. doi: 10.1093/cid/ciaa530. | |
| 32473235 | Background |
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| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| D015163 | Superinfection |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
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serum samples and bronchoalveolar fluid samples are stored in aliquots
|
| Lansbury L, Lim B, Baskaran V, Lim WS. Co-infections in people with COVID-19: a systematic review and meta-analysis. J Infect. 2020 Aug;81(2):266-275. doi: 10.1016/j.jinf.2020.05.046. Epub 2020 May 27. |
| 33153974 | Background | Keddie S, Ziff O, Chou MKL, Taylor RL, Heslegrave A, Garr E, Lakdawala N, Church A, Ludwig D, Manson J, Scully M, Nastouli E, Chapman MD, Hart M, Lunn MP. Laboratory biomarkers associated with COVID-19 severity and management. Clin Immunol. 2020 Dec;221:108614. doi: 10.1016/j.clim.2020.108614. Epub 2020 Oct 22. |
| 32864628 | Background | Manson JJ, Crooks C, Naja M, Ledlie A, Goulden B, Liddle T, Khan E, Mehta P, Martin-Gutierrez L, Waddington KE, Robinson GA, Ribeiro Santos L, McLoughlin E, Snell A, Adeney C, Schim van der Loeff I, Baker KF, Duncan CJA, Hanrath AT, Lendrem BC, De Soyza A, Peng J, J'Bari H, Greenwood M, Hawkins E, Peckham H, Marks M, Rampling T, Luintel A, Williams B, Brown M, Singer M, West J, Jury EC, Collin M, Tattersall RS. COVID-19-associated hyperinflammation and escalation of patient care: a retrospective longitudinal cohort study. Lancet Rheumatol. 2020 Oct;2(10):e594-e602. doi: 10.1016/S2665-9913(20)30275-7. Epub 2020 Aug 21. |
| 32539990 | Background | WHO Working Group on the Clinical Characterisation and Management of COVID-19 infection. A minimal common outcome measure set for COVID-19 clinical research. Lancet Infect Dis. 2020 Aug;20(8):e192-e197. doi: 10.1016/S1473-3099(20)30483-7. Epub 2020 Jun 12. |
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D009894 | Opportunistic Infections |