NCT
HOME CURRENT ARCHIVE COVID-19
HOME CURRENT ARCHIVE PUBLISH INSTRUCTIONS
FOR AUTHORS COVID-19 LOG IN / REGISTER HISTORY ABOUT US DIRECTORY CONTACT
Correlation of the severity index by tomography and prognosis of patients with COVID-19 pneumonia

Murrieta-Peralta, Estefanía1; Chischistz-Condey, Ana Patricia1; Holguin-Andrade, Karina Iliana1; Cadena-Fernández, Arturo1; Cervantes-Flores, Hugo Alberto1; Ramírez-Landero, Jorge1; Murrieta-González, Héctor1





2021, Number 1

2021; 80 (1)






ABSTRACT

Introduction: COVID-19 pneumonia is a highly infectious disease caused by a respiratory syndrome secondary to coronavirus 2. It has been proposed that the tomographic findings of these patients with suspected COVID-19 infection be subclassified. Objective: To measure the correlation between the chest tomography severity index as well as the degree of pulmonary involvement by tomography and the prognosis of patients with COVID-19 infection. Material and methods: This is a retrospective analytical observational study in which a total of 233 patients were analyzed. Conclusion: We conclude that the severity index could be used to predict patients who will require mechanical ventilation. The percentage of lung volume affected and respected was useful to predict admission to the ICU, use of mechanical ventilation, days of hospital stay and the outcome.

KEYWORDS

COVID-19, severity index, affected lung volume, respected lung volume, prognosis.

REFERENCES

  1. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. 2020;382(8):727-733. https://doi.org/10.1056/nejmoa2001017.

  2. Johns Hopkins: COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). https://coronavirus.jhu.edu/map.html.

  3. Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. JAMA. 2020;323(13):1239-1242. https://doi.org/10.1001/jama.2020.2648.

  4. Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl J Med. 2020;382(13):1199-1207. https://doi.org/10.1056/nejmoa2001316.

  5. Huang P, Liu T, Huang L, Liu H, Lei M, Xu W, et al. Use of chest CT in combination with negative RT-PCR assay for the 2019 novel coronavirus but high clinical suspicion. Radiology. 2020;295(1):22-23. https://doi.org/10.1148/radiol.2020200330.

  6. Fang Y, Zhang H, Xie J, Lin M, Ying L, Pang P, et al. Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology. 2020;296(2):E115-E117. https://doi.org/10.1148/radiol.2020200432.

  7. Pan Y, Guan H, Zhou S, Wang Y, Li Q, Zhu T, et al. Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China. Eur Radiol. 2020;30(6):3306-3309. https://doi.org/10.1007/s00330-020-06731-x.

  8. He F, Deng Y, Li W. Coronavirus disease 2019: What we know? J Med Virol. 2020;92(7):719-725. https://doi.org/10.1002/jmv.25766.

  9. Rubin GD, Ryerson CJ, Haramati LB, Sverzellati N, Kanne JP, Raoof S, et al. The role of chest imaging in patient management during the COVID-19 pandemic: A Multinational Consensus Statement from the Fleischner Society. Radiology. 2020;296(1):172-180. https://doi.org/10.1148/radiol.2020201365.

  10. Simpson S, Kay FU, Abbara S, Bhalla S, Chung JH, Chung M, et al. Radiological Society of North America Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA-Secondary publication. J Thorac Imaging. 2020;35(4):219-227. https://doi.org/10.1097/rti.0000000000000524.

  11. Koo JH, Lim S, Choe J, Choi S-H, Sung H, Do K-H. Radiographic and CT features of viral pneumonia. Radiographics. 2018;38(3):719-739. https://doi.org/10.1148/rg.2018170048.

  12. Yang R, Li X, Liu H, Zhen Y, Zhang X, Xiong Q, et al. Chest CT severity score: an imaging tool for assessing severe COVID-19. Radiology: Cardiothoracic Imaging. 2020;2(2):e200047. https://doi.org/10.1148/ryct.2020200047

  13. Li K, Fang Y, Li W, Pan C, Qin P, Zhong Y, et al. CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19). Eur Radiol. 2020;30(8):4407-4416. https://doi.org/10.1007/s00330-020-06817-6.

  14. Colombi D, Bodini FC, Petrini M, Maffi G, Morelli N, Milanese G, et al. Well-aerated lung on admitting chest CT to predict adverse outcome in COVID-19 pneumonia. Radiology. 2020;296(2):E86-E96. https://doi.org/10.1148/radiol.2020201433.

  15. Ichikado K, Muranaka H, Gushima Y, Kotani T, Nader HM, Fujimoto K, et al. Fibroproliferative changes on high-resolution CT in the acute respiratory distress syndrome predict mortality and ventilator dependency: a prospective observational cohort study. BMJ Open. 2012;2(2):e000545. https://doi.org/10.1136/bmjopen-2011-000545.

  16. Mandell LA, Wunderink RG, Anzueto A, Bartlett JG, Campbell GD, Dean NC, et al. Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of community-acquired pneumonia in adults. Clin Infect Dis. 2007;44(Suppl 2):S27-S72. https://doi.org/10.1086/511159.

  17. Guo L, Wei D, Zhang X, Wu Y, Li Q, Zou M, et al. Clinical features predicting mortality risk in patients with viral pneumonia: The MuLBSTA score. Front Microbiol. 2019;10:2752. https://doi.org/10.3389/fmicb.2019.02752.

  18. Lim WS, van der Eerden MM, Laing R, Boersma WG, Karalus N, Town GI, et al. Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study. Thorax. 2003;58(5):377-382. https://doi.org/10.1136/thorax.58.5.377.

  19. Du Y, Tu L, Zhu P, Mu M, Wang R, Yang P, et al. Clinical features of 85 fatal cases of COVID-19 from Wuhan. A retrospective observational study. Am J Respir Crit Care Med. 2020;201(11):1372-1379. https://doi.org/10.1164/rccm.202003-0543oc.

  20. Lanza E, Muglia R, Bolengo I, Santonocito OG, Lisi C, Angelotti G, et al. Quantitative chest CT analysis in COVID-19 to predict the need for oxygenation support and intubation. Eur Radiol. 2020;30(12):6770-6778. https://doi.org/10.1007/s00330-020-07013-2.

  21. Coomes EA, Haghbayan H. Interleukin-6 in Covid-19: a systematic review and meta-analysis. Rev Med Virol. 2020;30(6):1-9. https://doi.org/10.1002/rmv.2141.

  22. Herold T, Jurinovic V, Arnreich C, Lipworth BJ, Hellmuth JC, von Bergwelt-Baildon M, et al. Elevated levels of IL-6 and CRP predict the need for mechanical ventilation in COVID-19. J Allergy Clin Immunol. 2020;146(1):128-136.e4. https://doi.org/10.1016/j.jaci.2020.05.008.

  23. Clemente MMG, Herrero-Huertas J, Fernández-Fernandez A, Muñoz CDLE, Rodríguez AIE, Martínez LP, et al. Assessment of risk scores in COVID-19. Int J Clin Pract. 2020;e13705. https://doi.org/10.1111/ijcp.13705.

  24. Francone M, Iafrate F, Masci GM, Coco S, Cilia F, Manganaro L, et al. Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis. Eur Radiol. 2020;30(12):6808-6817. https://doi.org/10.1007/s00330-020-07033-y.

  25. Vargas-Vargas M, Cortés-Rojo C. Ferritin levels and COVID-19. Rev Panam Salud Publica. 2020;44:e72. https://doi.org/10.26633/rpsp.2020.72.

  26. Skevaki C, Fragkou PC, Cheng C, Xie M, Renz H. Laboratory characteristics of patients infected with the novel SARS-CoV-2 virus. J Infect. 2020;81(2):205-212. https://doi.org/10.1016/j.jinf.2020.06.039.

  27. Chen T, Wu D, Chen H, Yan W, Yang D, Chen G, et al. Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study. BMJ. 2020;368:m1091. https://doi.org/10.1136/bmj.m1091.

  28. Zhou F, Yu T, Du R, Fan G, Liu Y, Zhibo L, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395(10229):1054-1062. https://doi.org/10.1016/s0140-6736(20)30566-3.

  29. Chen G, Wu Di, Guo W, Cao Y, Huang D, Wang H, et al. Clinical and immunological features of severe and moderate coronavirus disease 2019. J Clin Invest. 2020;130(5):2620-2629. https://doi.org/10.1172/jci137244.

  30. Tan L, Wang Q, Zhang D, Ding J, Huang Q, Tang Y-Q, et al. Lymphopenia predicts disease severity of COVID-19: a descriptive and predictive study. Signal Transduct Target Ther. 2020;5(1):33. https://doi.org/10.1038/s41392-020-0148-4.


2021, Number 1

2021; 80 (1)