Clin Exp Otorhinolaryngol.  2020 Apr;13(2):95-105. 10.21053/ceo.2020.00570.

The Clinical Manifestations and Chest Computed Tomography Findings of Coronavirus Disease 2019 (COVID-19) Patients in China: A ProportionMeta-Analysis

Affiliations
  • 1Department of Otorhinolaryngology-Head and Neck Surgery, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea
  • 2Sensory Organ Research Institute, Dongguk University College of Medicine, Gyeongju, Korea
  • 3Department of Neurosurgery, Dongguk University Ilsan Hospital, Goyang, Korea

Abstract


Objectives
. The objectives of this study were to identify the clinical features and chest computed tomography (CT) findings of coronavirus disease 2019 (COVID-19) patients and to compare the characteristics of patients diagnosed in Wuhan and in other areas of China by integrating the findings reported in previous studies.
Methods
. We conducted a proportion meta-analysis to integrate the results of previous studies identified in online databases, and subsequently compared the overlapping of 95% confidence intervals (CIs) between locations of diagnosis. The heterogeneity of the results of the included studies was also demonstrated.
Results
. Nine studies with level IV evidence were considered to be eligible for the meta-analysis, and a comparative analysis was only possible between patients diagnosed in Wuhan and outside of Wuhan in China. Fever (84.8%; 95% CI, 78.5% to 90.1%) was identified as the most common clinical manifestation in all COVID-19 patients, and signs of respiratory infection were also frequently present in these patients. When comparing the clinical features according to the location of diagnosis, fever and dyspnea were less frequent in patients diagnosed outside of Wuhan (fever: 78.1%; 95% CI, 73.2% to 82.7%; dyspnea: 3.80%; 95% CI, 0.13% to 12.22%) than in patients diagnosed in Wuhan (fever: 91.7%; 95% CI, 88.0% to 94.8%; dyspnea: 21.1%; 95% CI, 13.2% to 30.3%). The chest CT findings exhibited no significant differences between the groups.
Conclusion
. Fever was found to be the most common symptom in COVID-19, and respiratory infection signs were also commonly present. Fever and dyspnea were less frequently observed in the patients diagnosed outside of Wuhan, which should be considered in COVID-19 screening programs. These results may be attributable to the earlier diagnosis of the disease and the younger age of patients outside of Wuhan although further analysis is needed. The role of chest CT in COVID-19 diagnosis is inconclusive based on this study.

Keyword

COVID-19; 2019-nCoV; 2019 Novel Coronavirus; Meta-analysis; Infectious Disease

Figure

  • Fig. 1. Flowchart of the final inclusion of studies. Nine studies were found to be eligible for the meta-analysis [33-41], extracted from 783 abstracts and titles.

  • Fig. 2. The proportions of symptoms in coronavirus disease 2019 (COVID-19) patients extracted from nine studies [33-41]. The proportions of fever (A), cough (B), dyspnea (C), and gastrointestinal symptoms (D). CI, confidence interval.

  • Fig. 3. Comparison of the proportions of symptoms between patients diagnosed in Wuhan and outside of Wuhan in China [33-41]. Significant differences were noted in the proportion of patients with fever (A) and dyspnea (B). CI, confidence interval.

  • Fig. 4. The proportions of pathologic patterns observed on chest computed tomography (CT) in patients with coronavirus disease 2019 (COVID-19) [33-41]. The proportions of patients with ground-glass opacity (A) and consolidation (B). GGO, ground-glass opacity; CI, confidence interval.

  • Fig. 5. The proportions of the distribution of pathologic findings observed on chest computed tomography in patients with coronavirus disease 2019 (COVID-19) [33-41]. The proportions of single lobe involvement (A), multiple lobe involvement (B), and bilateral lung involvement (C). CI, confidence interval.


Reference

1. Lu H, Stratton CW, Tang YW. Outbreak of pneumonia of unknown etiology in Wuhan, China: the mystery and the miracle. J Med Virol. 2020; Apr. 92(4):401–2.
Article
2. Shim E, Tariq A, Choi W, Lee Y, Chowell G. Transmission potential and severity of COVID-19 in South Korea. Int J Infect Dis. 2020; Mar. 93:339–44.
Article
3. Tuite AR, Bogoch II, Sherbo R, Watts A, Fisman D, Khan K. Estimation of coronavirus disease 2019 (COVID-19) burden and potential for international dissemination of infection from Iran. Ann Intern Med. 2020; Mar. 16. [Epub]. https://doi.org/10.7326/M20-0696.
Article
4. Saglietto A, D’Ascenzo F, Zoccai GB, De Ferrari GM. COVID-19 in Europe: the Italian lesson. Lancet. 2020; Apr. 395(10230):1110–1.
Article
5. World Health Organization. Novel coronavirus (2019-nCoV) situation report-10 [Internet]. Geneva, CH: World Health Organization;2020 [cited 2020 Apr 22]. Available from: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200130-sitrep-10-ncov.pdf?sfvrsn=d0b2e480.
6. World Health Organization. Coronavirus disease 2019 (COVID-19) situation report-67 [Internet]. Geneva, CH: World Health Organization;2020 [cited 2020 Apr 22]. Available from: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200327-sitrep-67-covid-19.pdf?sfvrsn=b65f68eb.
7. Eurosurveillance Editorial Team. Updated rapid risk assessment from ECDC on the novel coronavirus disease 2019 (COVID-19) pandemic: increased transmission in the EU/EEA and the UK. Euro Surveill. 2020; Mar. 25(10):2003121.
8. Liu Y, Gayle AA, Wilder-Smith A, Rocklov J. The reproductive number of COVID-19 is higher compared to SARS coronavirus. J Travel Med. 2020; Mar. 27(2):taaa021.
Article
9. Callaway E, Cyranoski D, Mallapaty S, Stoye E, Tollefson J. The coronavirus pandemic in five powerful charts. Nature. 2020; Mar. 579(7800):482–3.
Article
10. Peng L, Liu J, Xu W, Luo Q, Deng K, Lin B, et al. 2019 Novel coronavirus can be detected in urine, blood, anal swabs and oropharyngeal swabs samples [Internet]. medRxiv. 2020. [cited 2020 Apr 21]. Available from: https://doi.org/10.1101/2020.02.21.20026179.
Article
11. Corman VM, Landt O, Kaiser M, Molenkamp R, Meijer A, Chu DK, et al. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro Surveill. 2020; Jan. 25(3):2000045.
Article
12. Centers for Disease Control. Interim infection prevention and control recommendations for patients with suspected or confirmed coronavirus disease 2019 (COVID-19) in healthcare settings [Internet]. Atlanta, GA: Centers for Disease Control and Prevention;2020 [cited 2020 Apr 22]. Available from: https://www.cdc.gov/coronavirus/2019-ncov/infection-control/control-recommendations.html.
13. World Health Organization. Laboratory testing for 2019 novel coronavirus (2019-nCoV) in suspected human cases [Internet]. Geneva, CH: World Health Organization;2020. [cited 2020 Apr 22]. Available from: https://www.who.int/publications-detail/laboratory-testingfor-2019-novel-coronavirus-in-suspected-human-cases-20200117.
14. Lippi G, Plebani M. The critical role of laboratory medicine during coronavirus disease 2019 (COVID-19) and other viral outbreaks. Clin Chem Lab Med. 2020; Mar. 19. [Epub]. https://doi.org/10.1515/cclm-2020-0240.
Article
15. World Health Organization. Controlling the spread of infectious disease. In : Magnusson R, editor. Advancing the right to health: the vital role of law. Geneva, CH: World Health Organization;2016. p. 151–64.
16. Rodriguez-Morales AJ, Cardona-Ospina JA, Gutierrez-Ocampo E, Villamizar-Pena R, Holguin-Rivera Y, Escalera-Antezana JP, et al. Clinical, laboratory and imaging features of COVID-19: a systematic review and meta-analysis. Travel Med Infect Dis. 2020; Mar. 13. [Epub]. https://doi.org/10.1016/j.tmaid.2020.101623.
Article
17. Li LQ, Huang T, Wang YQ, Wang ZP, Liang Y, Huang TB, et al. COVID-19 patients’ clinical characteristics, discharge rate, and fatality rate of meta-analysis. J Med Virol. 2020; Mar. 12. [Epub]. https://doi.org/10.1002/jmv.25757.
Article
18. Xu XW, Wu XX, Jiang XG, Xu KJ, Ying LJ, Ma CL, et al. Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series. BMJ. 2020; Feb. 368:m606.
Article
19. Kim JY, Choe PG, Oh Y, Oh KJ, Kim J, Park SJ, et al. The first case of 2019 novel coronavirus pneumonia imported into Korea from Wuhan, China: implication for infection prevention and control measures. J Korean Med Sci. 2020; Feb. 35(5):e61.
Article
20. 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; Feb. 13. [Epub]. https://doi.org/10.1007/s00330-020-06731-x.
Article
21. Titler MG. The evidence for evidence-based practice implementation. In : Hughes RG, editor. Patient safety and quality: an evidence-based handbook for nurses. Rockville, MD: Agency for Healthcare Research and Quality, US;2008. p. 113–61.
22. Murad MH, Asi N, Alsawas M, Alahdab F. New evidence pyramid. Evid Based Med. 2016; Aug. 21(4):125–7.
Article
23. Murad MH. Clinical practice guidelines: a primer on development and dissemination. Mayo Clin Proc. 2017; Mar. 92(3):423–33.
24. Murad MH, Sultan S, Haffar S, Bazerbachi F. Methodological quality and synthesis of case series and case reports. BMJ Evid Based Med. 2018; Apr. 23(2):60–3.
Article
25. Abu-Zidan FM, Abbas AK, Hefny AF. Clinical “case series”: a concept analysis. Afr Health Sci. 2012; Dec. 12(4):557–62.
Article
26. Bauchner H, Golub RM, Zylke J. Editorial concern-possible reporting of the same patients with COVID-19 in different reports. JAMA. 2020; Mar. 323(13):1256.
Article
27. National Heart, Lung, and Blood Institute; National Institutes of Health. Quality assessment tool for case series studies [Internet]. Bethesda, MA: National Heart, Lung, and Blood Institute;2018. [cited 2020 Apr 22]. Available from: https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools.
28. El Dib R, Nascimento Junior P, Kapoor A. An alternative approach to deal with the absence of clinical trials: a proportional meta-analysis of case series studies. Acta Cir Bras. 2013; Dec. 28(12):870–6.
Article
29. Higgins JP, Green S. Cochrane handbook for systematic reviews of interventions version 5.1.0: identifying and measuring heterogeneity [Internet]. West Sussex, UK: John Wiley & Sons;2011. [cited 2020 Apr 22]. Available from: https://handbook-5-1.cochrane.org/chapter_9/9_5_2_identifying_and_measuring_heterogeneity.htm.
30. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003; Sep. 327(7414):557–60.
Article
31. Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997; Sep. 315(7109):629–34.
Article
32. Neyeloff JL, Fuchs SC, Moreira LB. Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis. BMC Res Notes. 2012; Jan. 5:52.
Article
33. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020; Mar. 395(10229):1054–62.
Article
34. 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; Mar. 5. [Epub]. https://doi.org/10.2214/AJR.20.22975.
Article
35. Li Y, Xia L. Coronavirus disease 2019 (COVID-19): role of chest CT in diagnosis and management. AJR Am J Roentgenol. 2020; Mar. 4. [Epub]. https://doi.org/10.2214/AJR.20.22954.
Article
36. Huang Y, Tu M, Wang S, Chen S, Zhou W, Chen D, et al. Clinical characteristics of laboratory confirmed positive cases of SARS-CoV-2 infection in Wuhan, China: a retrospective single center analysis. Travel Med Infect Dis. 2020; Feb. 27. [Epub]. https://doi.org/10.1016/j.tmaid.2020.101606.
Article
37. Liu F, Xu A, Zhang Y, Xuan W, Yan T, Pan K, et al. Patients of COVID19 may benefit from sustained lopinavir-combined regimen and the increase of eosinophil may predict the outcome of COVID-19 progression. Int J Infect Dis. 2020; Mar. 6. [Epub]. https://doi.org/10.1016/j.ijid.2020.03.013.
Article
38. Liu K, Chen Y, Lin R, Han K. Clinical features of COVID-19 in elderly patients: a comparison with young and middle-aged patients. J Infect. 2020; Mar. 11. [Epub]. https://doi.org/10.1016/j.jinf.2020.03.005.
Article
39. Zhu W, Xie K, Lu H, Xu L, Zhou S, Fang S. Initial clinical features of suspected coronavirus disease 2019 in two emergency departments outside of Hubei, China. J Med Virol. 2020; Mar. 13. [Epub]. https://doi.org/10.1002/jmv.25763.
Article
40. Zhao W, Zhong Z, Xie X, Yu Q, Liu J. Relation between chest CT findings and clinical conditions of coronavirus disease (COVID-19) pneumonia: a multicenter study. AJR Am J Roentgenol. 2020; Mar. [Epub]. https://doi.org/10.2214/AJR.20.22976.
Article
41. Xu X, Yu C, Qu J, Zhang L, Jiang S, Huang D, et al. Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2. Eur J Nucl Med Mol Imaging. 2020; May. 47(5):1275–80.
Article
42. Quinn SC, Kumar S. Health inequalities and infectious disease epidemics: a challenge for global health security. Biosecur Bioterror. 2014; Sep-Oct. 12(5):263–73.
Article
43. Central Accident Investigation Headquarters. Korean Government’s Response System [Internet]. Sejong, KR: Central Accident Investigation Headquarters;2020 [cited 2020 Apr 22]. Available from: http://ncov.mohw.go.kr/en/baroView.do?brdId=11&brdGubun=111&dataGubun=&ncvContSeq=&contSeq=&board_id.
44. Jin YH, Cai L, Cheng ZS, Cheng H, Deng T, Fan YP, et al. A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version). Mil Med Res. 2020; Feb. 7(1):4.
Article
45. Arabi YM, Balkhy HH, Hayden FG, Bouchama A, Luke T, Baillie JK, et al. Middle East respiratory syndrome. N Engl J Med. 2017; Feb. 376(6):584–94.
Article
46. Lechien JR, Chiesa-Estomba CM, De Siati DR, Horoi M, Le Bon SD, Rodriguez A, et al. Olfactory and gustatory dysfunctions as a clinical presentation of mild-to-moderate forms of the coronavirus disease (COVID-19): a multicenter European study. Eur Arch Otorhinolaryngol. 2020; Apr. 6. [Epub]. https://doi.org/10.1007/s00405-020-05965-1.
Article
47. COVID-19 National Emergency Response Center; Epidemiology and Case Management Team; Korea Centers for Disease Control and Prevention. Early epidemiological and clinical characteristics of 28 cases of coronavirus disease in South Korea. Osong Public Health Res Perspect. 2020; Feb. 11(1):8–14.
48. Spiteri G, Fielding J, Diercke M, Campese C, Enouf V, Gaymard A, et al. First cases of coronavirus disease 2019 (COVID-19) in the WHO European Region, 24 January to 21 February 2020. Euro Surveill. 2020; Mar. 25(9):2000178.
Article
49. Yoon SH, Lee KH, Kim JY, Lee YK, Ko H, Kim KH, et al. Chest radiographic and CT findings of the 2019 novel coronavirus disease (COVID-19): analysis of nine patients treated in Korea. Korean J Radiol. 2020; Apr. 21(4):494–500.
Article
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