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Zarei, Fariba, Jahankhah, Reza, Najafi, Nourallah, Ravanfar, Rezvan, Rezaee, Maryam, Raiskarimi, Soroor, Soltanabadi, Sahar, Aria, Hamid. (1401). Clinical, Laboratory, and Chest CT Features of Dead versus Recovered Coronavirus Disease 2019 (COVID-19) Patients: A Multicenter Study. سامانه مدیریت نشریات علمی, 11(1 (Supplement)), 186-194. doi: 10.30476/jhsss.2021.93032.1408
Fariba Zarei; Reza Jahankhah; Nourallah Najafi; Rezvan Ravanfar; Maryam Rezaee; Soroor Raiskarimi; Sahar Soltanabadi; Hamid Aria. "Clinical, Laboratory, and Chest CT Features of Dead versus Recovered Coronavirus Disease 2019 (COVID-19) Patients: A Multicenter Study". سامانه مدیریت نشریات علمی, 11, 1 (Supplement), 1401, 186-194. doi: 10.30476/jhsss.2021.93032.1408
Zarei, Fariba, Jahankhah, Reza, Najafi, Nourallah, Ravanfar, Rezvan, Rezaee, Maryam, Raiskarimi, Soroor, Soltanabadi, Sahar, Aria, Hamid. (1401). 'Clinical, Laboratory, and Chest CT Features of Dead versus Recovered Coronavirus Disease 2019 (COVID-19) Patients: A Multicenter Study', سامانه مدیریت نشریات علمی, 11(1 (Supplement)), pp. 186-194. doi: 10.30476/jhsss.2021.93032.1408
Zarei, Fariba, Jahankhah, Reza, Najafi, Nourallah, Ravanfar, Rezvan, Rezaee, Maryam, Raiskarimi, Soroor, Soltanabadi, Sahar, Aria, Hamid. Clinical, Laboratory, and Chest CT Features of Dead versus Recovered Coronavirus Disease 2019 (COVID-19) Patients: A Multicenter Study. سامانه مدیریت نشریات علمی, 1401; 11(1 (Supplement)): 186-194. doi: 10.30476/jhsss.2021.93032.1408

Clinical, Laboratory, and Chest CT Features of Dead versus Recovered Coronavirus Disease 2019 (COVID-19) Patients: A Multicenter Study

Journal of Health Sciences & Surveillance System
دوره 11، 1 (Supplement)، فروردین 2023، صفحه 186-194    اصل مقاله (411.62 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.30476/jhsss.2021.93032.1408
نویسندگان
Fariba Zarei1؛ Reza Jahankhah* 1؛ Nourallah Najafi1؛ Rezvan Ravanfar1؛ Maryam Rezaee2؛ Soroor Raiskarimi1؛ Sahar Soltanabadi3؛ Hamid Aria4، 5
1Department of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
2Department of Dermatology, Molecular Dermatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
3Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
4Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
5Bioinformatics and Computational Biology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
چکیده
Background: The current study was carried out to analyze the clinical, laboratory, and computed tomography (CT) findings obtained from both groups of patients, i.e., those who died or recovered from coronavirus disease 2019 (COVID-19).
Methods: This cross-sectional multicenter study was conducted on 71 adult patients with COVID-19 who had been discharged or died. Demographic, clinical, laboratory, and CT features were obtained from electronic medical records and compared between deceased and survived patients.
Results: Seventy-one patients (40 men, 31 women, 23–98 years) were included in the study. The mean age of deceased patients (70.77±17.36 years) was significantly higher than recovered ones (49.68±16.25 years) (P<0.001). Cough and neurological signs (a lateralizing sign of focal neurological insult) were shown to be significantly different between survived and non-survived groups (P=0.008 and P<0.001, respectively). Leukocytosis was present in 15 (41.7%) patients who died and 5 (14.3%) patients who were discharged (P=0.01). Hemoglobin and O2 saturation were significantly lower in patients who died than in recovered ones (P<0.001 and P=0.001, respectively). A significantly higher level of CRP was found in deceased infected patients compared to recovered ones (P=0.001). Crazy-paving pattern and consolidation were significantly higher in patients who died than in recovered subjects (P<0.001).
Conclusion: Patients’ manifestations on admission, such as older age, cough, leukocytosis, low levels of hemoglobin and O2 saturation, as well as the occurrence of crazy-paving patterns and consolidation, were predictive of poor outcomes.
کلیدواژه‌ها
Computed tomography؛ COVID-19؛ Pneumonia؛ SARS-CoV-2
مراجع
  1. Ghahramani S, Tabrizi R, Lankarani KB, Kashani SMA, Rezaei S, Zeidi N, Akbari M, Heydari ST, Akbari H, Nowrouzi-Sohrabi P, Ahmadizar F. Laboratory features of severe vs. non-severe COVID-19 patients in Asian populations: a systematic review and meta-analysis. Eur J Med Res. 2020 Aug 3;25(1):30. doi: 10.1186/s40001-020-00432-3. PMID: 32746929; PMCID: PMC7396942.
  2. Akbari H, Tabrizi R, Lankarani KB, Aria H, Vakili S, Asadian F, Noroozi S, Keshavarz P, Faramarz S. The role of cytokine profile and lymphocyte subsets in the severity of coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis. Life Sci. 2020 Oct 1;258:118167. doi: 10.1016/j.lfs.2020.118167. Epub 2020 Jul 29. PMID: 32735885; PMCID: PMC7387997.
  3. Vakili S, Akbari H, Jamalnia S. Clinical and Laboratory findings on the differences between h1n1 influenza and coronavirus disease-2019 (covid-19): focusing on the treatment approach. Clinical Pulmonary Medicine. 2020 Jul 1;27(4):87-93.
  4. Wölfel R, Corman VM, Guggemos W, Seilmaier M, Zange S, Müller MA, et al. Virological assessment of hospitalized patients with COVID-2019. Nature. 2020 May;581(7809):465-469. doi: 10.1038/s41586-020-2196-x. Epub 2020 Apr 1. Erratum in: Nature. 2020 Dec;588(7839):E35. PMID: 32235945.
  5. Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020 Mar;579(7798):270-273. doi: 10.1038/s41586-020-2012-7. Epub 2020 Feb 3. Erratum in: Nature. 2020 Dec;588(7836):E6. PMID: 32015507; PMCID: PMC7095418.
  6. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24. Erratum in: Lancet. 2020 Jan 30;: PMID: 31986264; PMCID: PMC7159299.
  7. Chan MS, Chan IY, Fung KH, Poon E, Yam LY, Lau KY. High-resolution CT findings in patients with severe acute respiratory syndrome: a pattern-based approach. AJR Am J Roentgenol. 2004 Jan;182(1):49-56. doi: 10.2214/ajr.182.1.1820049. PMID: 14684511.
  8. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020 Feb 15;395(10223):507-513. doi: 10.1016/S0140-6736(20)30211-7. Epub 2020 Jan 30. PMID: 32007143; PMCID: PMC7135076.
  9. Sanyaolu A, Okorie C, Marinkovic A, Patidar R, Younis K, Desai P, et al. Comorbidity and its Impact on Patients with COVID-19. SN Compr Clin Med. 2020;2(8):1069-1076. doi: 10.1007/s42399-020-00363-4. Epub 2020 Jun 25. PMID: 32838147; PMCID: PMC7314621.
  10. Zarei F, Jalli R, Iranpour P, Sefidbakht S, Soltanabadi S, Rezaee M, et al. Differentiation of Chest CT Findings Between Influenza Pneumonia and COVID-19: Interobserver Agreement Between Radiologists. Acad Radiol. 2021 Oct;28(10):1331-1338. doi: 10.1016/j.acra.2021.04.010. Epub 2021 May 11. PMID: 34024714; PMCID: PMC8112282.
  11. Vakili S, Savardashtaki A, Jamalnia S, Tabrizi R, Nematollahi MH, Jafarinia M, Akbari H. Laboratory Findings of COVID-19 Infection are Conflicting in Different Age Groups and Pregnant Women: A Literature Review. Arch Med Res. 2020 Oct;51(7):603-607. doi: 10.1016/j.arcmed.2020.06.007. Epub 2020 Jun 11. PMID: 32571605; PMCID: PMC7287430.
  12. Wu C, Chen X, Cai Y, Xia J, Zhou X, Xu S, et al. Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China. JAMA Intern Med. 2020 Jul 1;180(7):934-943. doi: 10.1001/jamainternmed.2020.0994. Erratum in: JAMA Intern Med. 2020 Jul 1;180(7):1031. PMID: 32167524; PMCID: PMC7070509.
  13. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24. Erratum in: Lancet. 2020 Jan 30; PMID: 31986264; PMCID: PMC7159299.
  14. Li X, Xu S, Yu M, Wang K, Tao Y, Zhou Y,et al. Risk factors for severity and mortality in adult COVID-19 inpatients in Wuhan. J Allergy Clin Immunol. 2020 Jul;146(1):110-118. doi: 10.1016/j.jaci.2020.04.006. Epub 2020 Apr 12. PMID: 32294485; PMCID: PMC7152876.
  15. Qin C, Zhou L, Hu Z, Zhang S, Yang S, Tao Y, et al. Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China. Clin Infect Dis. 2020 Jul 28;71(15):762-768. doi: 10.1093/cid/ciaa248. PMID: 32161940; PMCID: PMC7108125.
  16. de Wit E, van Doremalen N, Falzarano D, Munster VJ. SARS and MERS: recent insights into emerging coronaviruses. Nat Rev Microbiol. 2016 Aug;14(8):523-34. doi: 10.1038/nrmicro.2016.81. Epub 2016 Jun 27. PMID: 27344959; PMCID: PMC7097822.
  17. Yao XH, Li TY, He ZC, Ping YF, Liu HW, Yu SC, et al. A pathological report of three COVID-19 cases by minimal invasive autopsies. Zhonghua Bing Li Xue Za Zhi. 2020 May 8;49(5):411-417. Chinese. doi: 10.3760/cma.j.cn112151-20200312-00193. PMID: 32172546.
  18. Sun S, Cai X, Wang H, He G, Lin Y, Lu B, Chen C, Pan Y, Hu X. Abnormalities of peripheral blood system in patients with COVID-19 in Wenzhou, China. Clin Chim Acta. 2020 Aug;507:174-80. doi: 10.1016/j.cca.2020.04.024. Epub 2020 Apr 24. PMID: 32339487; PMCID: PMC7194694.
  19. 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 Aug;30(8):4407-4416. doi: 10.1007/s00330-020-06817-6. Epub 2020 Mar 25. PMID: 32215691; PMCID: PMC7095246.
  20. Blaettler L, Mertz D, Frei R, Elzi L, Widmer AF, Battegay M, et al. Secular trend and risk factors for antimicrobial resistance in Escherichia coli isolates in Switzerland 1997-2007. Infection. 2009 Dec;37(6):534-9. doi: 10.1007/s15010-009-8457-0. PMID: 20013094.
  21. Liu W, Li H. COVID-19 disease: ORF8 and surface glycoprotein inhibit heme metabolism by binding to porphyrin. Scholl of Life Science, Yibin University. 2020;644000.
  22. Herold T, Jurinovic V, Arnreich C, Lipworth BJ, Hellmuth JC, von Bergwelt-Baildon M, Klein M, Weinberger T. Elevated levels of IL-6 and CRP predict the need for mechanical ventilation in COVID-19. J Allergy Clin Immunol. 2020 Jul;146(1):128-136.e4. doi: 10.1016/j.jaci.2020.05.008. Epub 2020 May 18. PMID: 32425269; PMCID: PMC7233239.
  23. Erez A, Shental O, Tchebiner JZ, Laufer-Perl M, Wasserman A, Sella T, Guzner-Gur H. Diagnostic and prognostic value of very high serum lactate dehydrogenase in admitted medical patients. Isr Med Assoc J. 2014 Jul;16(7):439-43. PMID: 25167691.
  24. Hoseinyazdi M, Esmaeilian S, Jahankhah R, Teimouri A, Sherbaf FG, Rafiee F, et al. Clinical, laboratory, and chest CT features of severe versus non-severe pediatric patients with COVID-19 infection among different age groups. BMC Infect Dis. 2021 Jun 12;21(1):560. doi: 10.1186/s12879-021-06283-5. PMID: 34118894; PMCID: PMC8196295.
  25. Huang P, Liu T, Huang L, Liu H, Lei M, Xu W, Hu X, Chen J, Liu B. Use of Chest CT in Combination with Negative RT-PCR Assay for the 2019 Novel Coronavirus but High Clinical Suspicion. Radiology. 2020 Apr;295(1):22-3. doi: 10.1148/radiol.2020200330. Epub 2020 Feb 12. PMID: 32049600; PMCID: PMC7233360.
  26. Ai T, Yang Z, Hou H, Zhan C, Chen C, Lv W, et al. Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. Radiology. 2020 Aug;296(2):E32-E40. doi: 10.1148/radiol.2020200642. Epub 2020 Feb 26. PMID: 32101510; PMCID: PMC7233399.
  27. Koo HJ, Lim S, Choe J, Choi SH, Sung H, Do KH. Radiographic and CT Features of Viral Pneumonia. Radiographics. 2018 May-Jun;38(3):719-739. doi: 10.1148/rg.2018170048. PMID: 29757717.
  28. Franquet T. Imaging of pulmonary viral pneumonia. Radiology. 2011 Jul;260(1):18-39. doi: 10.1148/radiol.11092149. PMID: 21697307.
  29. Hansell DM, Bankier AA, MacMahon H, McLoud TC, Müller NL, Remy J. Fleischner Society: glossary of terms for thoracic imaging. Radiology. 2008 Mar;246(3):697-722. doi: 10.1148/radiol.2462070712. Epub 2008 Jan 14. PMID: 18195376.
  30. Song F, Shi N, Shan F, Zhang Z, Shen J, Lu H, et al. Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia. Radiology. 2020 Dec;297(3):E346. doi: 10.1148/radiol.2020209021. Erratum for: Radiology. 2020 Apr;295(1):210-217. PMID: 33196374; PMCID: PMC8906333.
  31. Shi H, Han X, Jiang N, Cao Y, Alwalid O, Gu J, et al. Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. Lancet Infect Dis. 2020 Apr;20(4):425-434. doi: 10.1016/S1473-3099(20)30086-4. Epub 2020 Feb 24. PMID: 32105637; PMCID: PMC7159053.
  32. Wong KT, Antonio GE, Hui DS, Lee N, Yuen EH, Wu A, et al. Thin-section CT of severe acute respiratory syndrome: evaluation of 73 patients exposed to or with the disease. Radiology. 2003 Aug;228(2):395-400. doi: 10.1148/radiol.2283030541. Epub 2003 May 8. PMID: 12738877.
  33. Wu J, Wu X, Zeng W, Guo D, Fang Z, Chen L, et al. Chest CT Findings in Patients With Coronavirus Disease 2019 and Its Relationship With Clinical Features. Invest Radiol. 2020 May;55(5):257-261. doi: 10.1097/RLI.0000000000000670. PMID: 32091414; PMCID: PMC7147284.
  34. Li K, Wu J, Wu F, Guo D, Chen L, Fang Z, et al. The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia. Invest Radiol. 2020 Jun;55(6):327-31. doi: 10.1097/RLI.0000000000000672. PMID: 32118615; PMCID: PMC7147273.
  35. Pan F, Ye T, Sun P, Gui S, Liang B, Li L, et al. Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19). Radiology. 2020 Jun;295(3):715-21. doi: 10.1148/radiol.2020200370. Epub 2020 Feb 13. PMID: 32053470; PMCID: PMC7233367.
  36. Bai L, Yang D, Wang X, Tong L, Zhu X, Zhong N, et al. Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19). Clinical eHealth. 2020 Jan 1;3:7-15. doi: 10.1016/j.ceh.2020.03.001.
  37. Ajlan AM, Ahyad RA, Jamjoom LG, Alharthy A, Madani TA. Middle East respiratory syndrome coronavirus (MERS-CoV) infection: chest CT findings. AJR Am J Roentgenol. 2014 Oct;203(4):782-7. doi: 10.2214/AJR.14.13021. Epub 2014 Jun 11. PMID: 24918624.
  38. Das KM, Lee EY, Langer RD, Larsson SG. Middle East Respiratory Syndrome Coronavirus: What Does a Radiologist Need to Know? AJR Am J Roentgenol. 2016 Jun;206(6):1193-201. doi: 10.2214/AJR.15.15363. Epub 2016 Mar 21. PMID: 26998804.
  39. Chan JF, Yuan S, Kok KH, To KK, Chu H, Yang J, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet. 2020 Feb 15;395(10223):514-23. doi: 10.1016/S0140-6736(20)30154-9. Epub 2020 Jan 24. PMID: 31986261; PMCID: PMC7159286.
  40. Cheng Z, Lu Y, Cao Q, Qin L, Pan Z, Yan F, Yang W. Clinical Features and Chest CT Manifestations of Coronavirus Disease 2019 (COVID-19) in a Single-Center Study in Shanghai, China. AJR Am J Roentgenol. 2020 Jul;215(1):121-126. doi: 10.2214/AJR.20.22959. Epub 2020 Mar 14. PMID: 32174128.
  41. Kanne JP. Chest CT Findings in 2019 Novel Coronavirus (2019-nCoV) Infections from Wuhan, China: Key Points for the Radiologist. 2020 Apr;295(1):16-17. doi: 10.1148/radiol.2020200241. Epub 2020 Feb 4. PMID: 32017662. PMCID: PMC7233362.
  42. Zhou S, Wang Y, Zhu T, Xia L. CT Features of Coronavirus Disease 2019 (COVID-19) Pneumonia in 62 Patients in Wuhan, China. AJR Am J Roentgenol. 2020 Jun;214(6):1287-94. doi: 10.2214/AJR.20.22975. Epub 2020 Mar 5. PMID: 32134681.
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