Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2023, Cilt: 4 Sayı: 1, 35 - 44, 31.01.2023
https://doi.org/10.51972/tfsd.1171774

Öz

Kaynakça

  • Axiaq, A., Almohtadi, A., Massias, S.A. et al. (2021). The role of computed tomography scan in the diagnosis of COVID-19 pneumonia. Curr Opin Pulm Med, 2021; 27(3): 163-168.
  • Bernheim, A., Mei, X., Huang, M. et al. (2020). Chest CT findings in coronavirus disease-19 (COVID-19): relationship to duration of infection. Radiology, 200463.
  • Bivona, G., Agnello, L., Ciaccio, M. (2021). Biomarkers for prognosis and treatment response in COVID-19 patients. Annals of laboratory medicine, 41(6), 540-548.
  • Calvi, C., Ferreira, F.F., Lyrio, L. et al. (2021). COVID-19 findings in chest computed tomography. Revista da Associação Médica Brasileira, 67, 1409-1414.
  • Chen, C., Zhang, Y., Zhao, X. et al. (2021). Hypoalbuminemia–An Indicator of the Severity and Prognosis of COVID-19 Patients: A Multicentre Retrospective Analysis. Infection and Drug Resistance, 14, 3699-3710.
  • Chung, M., Bernheim, A., Mei, X. et al. (2020). CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV). Radiology, 295 (1): 202–207. doi: 10.1148/radiol. 2020200230. doi: 10.1148/radiol.2020200230.
  • Du, R.H., Liang, L.R., Yang, C.Q. et al. (2020). Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: a prospective cohort study. European Respiratory Journal, 55(5).
  • Grasselli, G., Greco, M., Zanella, A. et al. (2020). Risk factors associated with mortality among patients with COVID-19 in intensive care units in Lombardy, Italy. JAMA internal medicine, 180(10), 1345-1355.
  • Guan, W.J., Ni, Z. Y., Hu, Y. et al. (2020a). Clinical characteristics of coronavirus disease 2019 in China. New England journal of medicine, 382(18), 1708-1720.
  • Guan, W.J., Liang, W.H., Zhao, Y. et al. (2020b). Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis. European Respiratory Journal, 55(5).
  • Huang, C., Wang, Y., Li, X. et al. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The lancet, 395(10223), 497-506.
  • Huang, I., Pranata, R. (2020). Lymphopenia in severe coronavirus disease-2019 (COVID-19): systematic review and meta-analysis. Journal of intensive care, 8(1), 1-10.
  • Ileri, C., Dogan, Z., Ozben, B. et al. (2021). Evaluation of the relation between cardiac biomarkers and thorax computed tomography findings in COVID-19 patients. Biomarkers in Medicine, 15(4), 285-293.
  • Li, J., Yan, R., Zhai, Y. et al. (2021). Chest CT findings in patients with coronavirus disease 2019 (COVID-19): a comprehensive review. Diagnostic and Interventional Radiology, 27(5), 621.
  • Luo, X., Zhou, W., Yan, X. et al. (2020). Prognostic Value of C-Reactive Protein in Patients with COVID-19. Clinical Infectious Diseases, 71(16), 2174-2179. doi: 10.1093/cid/ciaa641.
  • Malik, P., Patel, U., Mehta, D. et al. (2021). Biomarkers and outcomes of COVID-19 hospitalisations: systematic review and meta-analysis. BMJ evidence-based medicine, 26(3), 107-108.
  • Shi, H., Han, X., Jiang, N. et al. (2020). Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. The Lancet infectious diseases, 20(4), 425-434.
  • Toussie, D., Voutsinas, N., Finkelstein, M. et al. (2020). Clinical and chest radiography features determine patient outcomes in young and middle-aged adults with COVID-19. Radiology, 297(1), E197-E206. https://doi.org/10.1148/radiol.2020201754» https://doi.org/10.1148/radiol.2020201754
  • Vafea, M. T., Atalla, E., Kalligeros, M. et al. (2020). Chest CT findings in asymptomatic cases with COVID-19: a systematic review and meta-analysis. Clinical radiology, 75(11), 876-e33.
  • Version, T. (2020). Diagnosis and Treatment Plan for COVID-19 (Trial Version 6). Chin. Med. J, 133, 1087-1095. http://www.nhc.gov.cn/yzygj/s7653p/202002/8334a8326dd94d329df351d7da8aefc2/files/b218cfeb1bc54639af227f922bf6b817.pdf
  • Wang, D., Hu, B., Hu, C. et al. (2020). Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. Jama, 323(11), 1061-1069.
  • Wang, F., Hou, H., Luo, Y. et al. (2020). The laboratory tests and host immunity of COVID-19 patients with different severity of illness. JCI Insight, 5(10). doi: 10.1172/jci.insight.137799.
  • Wong, H.Y.F., Lam, H.Y.S., Fong, A.H.T. et al. (2020). Frequency and distribution of chest radiographic findings in patients positive for COVID-19. Radiology, 296(2), E72-E78.
  • Wu, C., Chen, X., Cai, Y. et al. (2020). Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China. JAMA internal medicine, 180(7), 934-943.
  • Xie, X., Zhong, Z., Zhao, W. et al. (2020). Chest CT forRadiology typical 2019-nCoV pneumonia: relationship to negative RT-PCR testing. Radiology, doi: 10.1148/radiol.2020200343.
  • Yurdaisik, I., Nurili, F., Agirman, A.G. et al. (2021). The relationship between lesion density change in chest computed tomography and clinical improvement in COVID‐19 patients. International Journal of Clinical Practice, 75(9), e14355.
  • Zhao W., Zhong, Z., Xie, X. et al. (2020). Relation between chest CT findings and clinical conditions of coronavirus disease (COVID-19) pneumonia: a multicenter study. AJR Am J Roentgenol, 214(5), 1072-1077.

The Correlation between Biomarkers and Chest Computed Tomography Findings and the Severity of COVID-19 Patients

Yıl 2023, Cilt: 4 Sayı: 1, 35 - 44, 31.01.2023
https://doi.org/10.51972/tfsd.1171774

Öz

ABSTRACT
Purpose: This study aims to reveal the correlation between some biomarkers and chest computed tomography findings and the severity of patients with COVID-19.
Materials and Methods: COVID-19 patients admitted to the emergency department and hospitalized between 20 March 2020 and 31 May 2020 were included in the study. Blood tests taken in the emergency room and chest computed tomography findings were examined. The risk factors for the severity and mortality of the chest computed tomography findings and biomarkers in terms of intensive care needs of COVID-19 patients were assessed.
Results: Data from 113 COVID-19 patients were reviewed retrospectively. Of these patients, 40 did not have pulmonary involvement. The most common chest computed tomography finding was ground-glass opacity (n=47, 41.6%). In 16 patients with COVID-19 hospitalized in the intensive care unit and 7 patients with COVID-19 with the risk of mortality, it was found that severe pulmonary involvement and leukocyte, neutrophil, D-dimer, troponin I, urea, LDH, CRP, and procalcitonin values were significantly higher, and lymphocyte, thrombocyte, and albumin levels were significantly lower.
Conclusion: It was observed that the need for intensive care and the mortality risk increased when there was an increase in leukocyte, neutrophil, D-dimer, CRP, procalcitonin, urea, and troponin values, and severe computed tomography findings, and a decrease in lymphocyte, thrombocyte, and albumin values.

Kaynakça

  • Axiaq, A., Almohtadi, A., Massias, S.A. et al. (2021). The role of computed tomography scan in the diagnosis of COVID-19 pneumonia. Curr Opin Pulm Med, 2021; 27(3): 163-168.
  • Bernheim, A., Mei, X., Huang, M. et al. (2020). Chest CT findings in coronavirus disease-19 (COVID-19): relationship to duration of infection. Radiology, 200463.
  • Bivona, G., Agnello, L., Ciaccio, M. (2021). Biomarkers for prognosis and treatment response in COVID-19 patients. Annals of laboratory medicine, 41(6), 540-548.
  • Calvi, C., Ferreira, F.F., Lyrio, L. et al. (2021). COVID-19 findings in chest computed tomography. Revista da Associação Médica Brasileira, 67, 1409-1414.
  • Chen, C., Zhang, Y., Zhao, X. et al. (2021). Hypoalbuminemia–An Indicator of the Severity and Prognosis of COVID-19 Patients: A Multicentre Retrospective Analysis. Infection and Drug Resistance, 14, 3699-3710.
  • Chung, M., Bernheim, A., Mei, X. et al. (2020). CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV). Radiology, 295 (1): 202–207. doi: 10.1148/radiol. 2020200230. doi: 10.1148/radiol.2020200230.
  • Du, R.H., Liang, L.R., Yang, C.Q. et al. (2020). Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: a prospective cohort study. European Respiratory Journal, 55(5).
  • Grasselli, G., Greco, M., Zanella, A. et al. (2020). Risk factors associated with mortality among patients with COVID-19 in intensive care units in Lombardy, Italy. JAMA internal medicine, 180(10), 1345-1355.
  • Guan, W.J., Ni, Z. Y., Hu, Y. et al. (2020a). Clinical characteristics of coronavirus disease 2019 in China. New England journal of medicine, 382(18), 1708-1720.
  • Guan, W.J., Liang, W.H., Zhao, Y. et al. (2020b). Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis. European Respiratory Journal, 55(5).
  • Huang, C., Wang, Y., Li, X. et al. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The lancet, 395(10223), 497-506.
  • Huang, I., Pranata, R. (2020). Lymphopenia in severe coronavirus disease-2019 (COVID-19): systematic review and meta-analysis. Journal of intensive care, 8(1), 1-10.
  • Ileri, C., Dogan, Z., Ozben, B. et al. (2021). Evaluation of the relation between cardiac biomarkers and thorax computed tomography findings in COVID-19 patients. Biomarkers in Medicine, 15(4), 285-293.
  • Li, J., Yan, R., Zhai, Y. et al. (2021). Chest CT findings in patients with coronavirus disease 2019 (COVID-19): a comprehensive review. Diagnostic and Interventional Radiology, 27(5), 621.
  • Luo, X., Zhou, W., Yan, X. et al. (2020). Prognostic Value of C-Reactive Protein in Patients with COVID-19. Clinical Infectious Diseases, 71(16), 2174-2179. doi: 10.1093/cid/ciaa641.
  • Malik, P., Patel, U., Mehta, D. et al. (2021). Biomarkers and outcomes of COVID-19 hospitalisations: systematic review and meta-analysis. BMJ evidence-based medicine, 26(3), 107-108.
  • Shi, H., Han, X., Jiang, N. et al. (2020). Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. The Lancet infectious diseases, 20(4), 425-434.
  • Toussie, D., Voutsinas, N., Finkelstein, M. et al. (2020). Clinical and chest radiography features determine patient outcomes in young and middle-aged adults with COVID-19. Radiology, 297(1), E197-E206. https://doi.org/10.1148/radiol.2020201754» https://doi.org/10.1148/radiol.2020201754
  • Vafea, M. T., Atalla, E., Kalligeros, M. et al. (2020). Chest CT findings in asymptomatic cases with COVID-19: a systematic review and meta-analysis. Clinical radiology, 75(11), 876-e33.
  • Version, T. (2020). Diagnosis and Treatment Plan for COVID-19 (Trial Version 6). Chin. Med. J, 133, 1087-1095. http://www.nhc.gov.cn/yzygj/s7653p/202002/8334a8326dd94d329df351d7da8aefc2/files/b218cfeb1bc54639af227f922bf6b817.pdf
  • Wang, D., Hu, B., Hu, C. et al. (2020). Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. Jama, 323(11), 1061-1069.
  • Wang, F., Hou, H., Luo, Y. et al. (2020). The laboratory tests and host immunity of COVID-19 patients with different severity of illness. JCI Insight, 5(10). doi: 10.1172/jci.insight.137799.
  • Wong, H.Y.F., Lam, H.Y.S., Fong, A.H.T. et al. (2020). Frequency and distribution of chest radiographic findings in patients positive for COVID-19. Radiology, 296(2), E72-E78.
  • Wu, C., Chen, X., Cai, Y. et al. (2020). Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China. JAMA internal medicine, 180(7), 934-943.
  • Xie, X., Zhong, Z., Zhao, W. et al. (2020). Chest CT forRadiology typical 2019-nCoV pneumonia: relationship to negative RT-PCR testing. Radiology, doi: 10.1148/radiol.2020200343.
  • Yurdaisik, I., Nurili, F., Agirman, A.G. et al. (2021). The relationship between lesion density change in chest computed tomography and clinical improvement in COVID‐19 patients. International Journal of Clinical Practice, 75(9), e14355.
  • Zhao W., Zhong, Z., Xie, X. et al. (2020). Relation between chest CT findings and clinical conditions of coronavirus disease (COVID-19) pneumonia: a multicenter study. AJR Am J Roentgenol, 214(5), 1072-1077.
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İç Hastalıkları
Bölüm Makaleler
Yazarlar

Şimşek Çelik

Yayımlanma Tarihi 31 Ocak 2023
Gönderilme Tarihi 6 Eylül 2022
Kabul Tarihi 21 Aralık 2022
Yayımlandığı Sayı Yıl 2023 Cilt: 4 Sayı: 1

Kaynak Göster

APA Çelik, Ş. (2023). The Correlation between Biomarkers and Chest Computed Tomography Findings and the Severity of COVID-19 Patients. Turkish Journal of Science and Health, 4(1), 35-44. https://doi.org/10.51972/tfsd.1171774








Turkish Journal of Science and Health (TFSD) 

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