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The coronavirus disease-2019 (COVID-19)is a pandemic disease caused by SARS -COV-2 which belongs to the β-coronavirus family . The majority of affected individuals exhibit no or mild to moderate symptoms, but up to 15% of patients develop severe pneumonia with approximately 6% progressing to acute respiratory distress syndrome and multiorgan failure.
Biomarkers are needed to identify patients will suffer rapid disease progression to severe complications and death. Preliminary studies describe vasculitic processes underlying organ damage in seriously ill patients, induced by the activation of inflammatory cascades, complement activation and pro-inflammatory cytokines (i.e. interleukin).
The severity of Vasculitic damage is unfortunately not easily predictable through currently used laboratory biomarkers such as D-dimer or prothrombin time/activated partial thromboplastin time.
The severity of the disease is mainly driven by diffuse interstitial lung diseases. YKL-40 has a pro mitogenic action on pulmonary fibroblasts, increases the activity of macrophages and is associated with inflammatory disorders. In ILD, YKL-40 has been described to be associated with the severity of lung diseases and with the risk of death.
YKL-40 serum levels could therefore be of interest for diagnosis and prognosis since it is at the cross-link between vascular and epithelial lung damage.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients Infected by severe acute respiratory syndrome coronavirus 2 (SARS-cov-2) | Patients Infected by COVID -19 diagnosed by Reverse transcriptase polymerase chain reaction and computerized tomography |
| |
| patients suffering from chronic lung disease | Diagnosed by clinical manifestation and Computerized tomogarphy |
| |
| Healthy Individuals | They must be without prior history of chronic inflammation in the lung |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Computerized Tomography | Device | Using Computerized Tomography for diagnosis COVID -19 patients |
|
| Measure | Description | Time Frame |
|---|---|---|
| Using YKL -40 to help in diagnosis of COVID -19 and assessment of disease severity |
| 2 years |
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Inclusion Criteria:
• Group one should be diagnosed by RT-PCR (reverse transcriptase polymerase chain reaction).
Exclusion Criteria:
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All patients come to Assiut university with clinical manifestation of COVID -19
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Sohair K Sayed, professor | Contact | 0102447771 | Ksoher3@yahoo.com | |
| Abeer A mokhtar, lecturer | Contact | 01008792989 | Abeermokhtar2010@yahoo.com |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 23770275 | Result | Chan JF, To KK, Tse H, Jin DY, Yuen KY. Interspecies transmission and emergence of novel viruses: lessons from bats and birds. Trends Microbiol. 2013 Oct;21(10):544-55. doi: 10.1016/j.tim.2013.05.005. Epub 2013 Jun 14. | |
| 31987001 | Result | Chan JF, Kok KH, Zhu Z, Chu H, To KK, Yuan S, Yuen KY. Genomic characterization of the 2019 novel human-pathogenic coronavirus isolated from a patient with atypical pneumonia after visiting Wuhan. Emerg Microbes Infect. 2020 Jan 28;9(1):221-236. doi: 10.1080/22221751.2020.1719902. eCollection 2020. |
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| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
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Not provided
| ID | Term |
|---|---|
| D014057 | Tomography, X-Ray Computed |
| ID | Term |
|---|---|
| D007090 | Image Interpretation, Computer-Assisted |
| D003952 | Diagnostic Imaging |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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| 32109013 | Result | Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, Liu L, Shan H, Lei CL, Hui DSC, Du B, Li LJ, Zeng G, Yuen KY, Chen RC, Tang CL, Wang T, Chen PY, Xiang J, Li SY, Wang JL, Liang ZJ, Peng YX, Wei L, Liu Y, Hu YH, Peng P, Wang JM, Liu JY, Chen Z, Li G, Zheng ZJ, Qiu SQ, Luo J, Ye CJ, Zhu SY, Zhong NS; China Medical Treatment Expert Group for Covid-19. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med. 2020 Apr 30;382(18):1708-1720. doi: 10.1056/NEJMoa2002032. Epub 2020 Feb 28. |
| 32268131 | Result | Inoue Y, Kaner RJ, Guiot J, Maher TM, Tomassetti S, Moiseev S, Kuwana M, Brown KK. Diagnostic and Prognostic Biomarkers for Chronic Fibrosing Interstitial Lung Diseases With a Progressive Phenotype. Chest. 2020 Aug;158(2):646-659. doi: 10.1016/j.chest.2020.03.037. Epub 2020 Apr 5. |
| 20888745 | Result | Korthagen NM, van Moorsel CH, Barlo NP, Ruven HJ, Kruit A, Heron M, van den Bosch JM, Grutters JC. Serum and BALF YKL-40 levels are predictors of survival in idiopathic pulmonary fibrosis. Respir Med. 2011 Jan;105(1):106-13. doi: 10.1016/j.rmed.2010.09.012. |
| 29128390 | Result | Lei J, Kusov Y, Hilgenfeld R. Nsp3 of coronaviruses: Structures and functions of a large multi-domain protein. Antiviral Res. 2018 Jan;149:58-74. doi: 10.1016/j.antiviral.2017.11.001. Epub 2017 Nov 8. |
| 3208584 | Result | Zhang XZ. [CT investigation of spinal injury]. Zhonghua Fang She Xue Za Zhi. 1988 Aug;22(4):227-30. No abstract available. Chinese. |
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D011856 | Radiographic Image Enhancement |
| D007089 | Image Enhancement |
| D010781 | Photography |
| D011859 | Radiography |
| D014056 | Tomography, X-Ray |
| D014054 | Tomography |