본문 바로가기
KERD
논문KCI 등재

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

0

조회

0

다운로드

3

인용

0

참고문헌

키워드

초록

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.

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.

참고문헌 (49)

  1. Lu H, "Outbreak of pneumonia of unknown etiology in Wuhan, China : the mystery and the miracle", J Med Virol, 92(4), pp.401~402 (2020)
  2. Shim E, "Transmission potential and severity of COVID-19 in South Korea", Int J Infect Dis, 93, pp.339~344 (2020)
  3. Ashleigh R. Tuite, "Estimation of Coronavirus Disease 2019 (COVID-19) Burden and Potential for International Dissemination of Infection From Iran", Annals of Internal Medicine, 172(10), pp.699~701 (2020), American College of Physicians[DOI]
  4. Saglietto A, "COVID-19 in Europe : the Italian lesson", Lancet, 395(10230), pp.1110~1111 (2020)
  5. "Novel coronavirus (2019-nCoV) situation report-10" (2020)[URL]
  6. "Coronavirus disease 2019 (COVID-19) situation report-67" (2020)[URL]
  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, 2020, pp.25(10), 2003121~
  8. Liu Y, "The reproductive number of COVID-19 is higher compared to SARS coronavirus", J Travel Med, 27(2), pp.taaa021~ (2020)
  9. Callaway E, "The coronavirus pandemic in five powerful charts", Nature, 579(7800), pp.482~483 (2020)
  10. "2019 Novel coronavirus can be detected in urine, blood, anal swabs and oropharyngeal swabs samples" (2020)[URL]
  11. Corman VM, "Detection of 2019 novel coronavirus(2019-nCoV)by real-time RT-PCR", Euro Surveill, 25(3), pp.2000045~ (2020)
  12. "Interim infection prevention and control recommendations for patients with suspected or confirmed coronavirus disease 2019 (COVID-19) in healthcare settings" (2020)[URL]
  13. "Laboratory testing for 2019 novel coronavirus (2019-nCoV) in suspected human cases" (2020)[URL]
  14. Giuseppe Lippi, "The critical role of laboratory medicine during coronavirus disease 2019 (COVID-19) and other viral outbreaks", Clinical Chemistry and Laboratory Medicine (CCLM), 58(7), pp.1063~1069 (2020), Walter de Gruyter GmbH[DOI]
  15. World Health Organization, "Advancing the right to health: the vital role of law", pp.151~164 (2016), World Health Organization
  16. Alfonso J. Rodriguez-Morales, "Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis", Travel Medicine and Infectious Disease, 34, pp.101623~ (2020), Elsevier BV[DOI]
  17. Long‐quan Li, "COVID‐19 patients' clinical characteristics, discharge rate, and fatality rate of meta‐analysis", Journal of Medical Virology, 92(6), pp.577~583 (2020), Wiley[DOI]
  18. Xu XW, "Clinical findings in a group of patients infected with the 2019 novel coronavirus(SARS-Cov-2)outside of Wuhan, China : retrospective case series", BMJ, 368, pp.m606~ (2020)
  19. Jin Yong Kim, "The First Case of 2019 Novel Coronavirus Pneumonia Imported into Korea from Wuhan, China: Implication for Infection Prevention and Control Measures", Journal of Korean Medical Science, 35(5), pp.1~4 (2020), 대한의학회[DOI]
  20. Yueying Pan, "Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China", European Radiology, 30(6), pp.3306~3309 (2020), Springer Science and Business Media LLC[DOI]
  21. Titler MG, "Patient safety and quality: an evidence-based handbook for nurses", pp.113~161 (2008), Agency for Healthcare Research and Quality
  22. Murad MH, "New evidence pyramid", Evid Based Med, 21(4), pp.125~127 (2016)
  23. Murad MH, "Clinical practice guidelines : a primer on development and dissemination", Mayo Clin Proc, 92(3), pp.423~433 (2017)
  24. Murad MH, "Methodological quality and synthesis of case series and case reports", BMJ Evid Based Med, 23(2), pp.60~63 (2018)
  25. Abu-Zidan FM, "Clinical"case series" : a concept analysis", Afr Health Sci, 12(4), pp.557~562 (2012)
  26. Bauchner H, "Editorial concern-possible reporting of the same patients with COVID-19 in different reports", JAMA, 323(13), pp.1256~ (2020)
  27. "Quality assessment tool for case series studies" (2018)[URL]
  28. El Dib R, "An alternative approach to deal with the absence of clinical trials : a proportional meta-analysis of case series studies", Acta Cir Bras, 28(12), pp.870~876 (2013)
  29. "Cochrane handbook for systematic reviews of interventions version 5.1.0: identifying and measuring heterogeneity" (2011)[URL]
  30. Higgins JP, "Measuring inconsistency in meta-analyses", BMJ, 327(7414), pp.557~560 (2003)
  31. Egger M, "Bias in meta-analysis detected by a simple, graphical test", BMJ, 315(7109), pp.629~634 (1997)
  32. Neyeloff JL, "Meta-analyses and Forest plots using a microsoft excel spreadsheet : step-by-step guide focusing on descriptive data analysis", BMC Res Notes, 5, pp.52~ (2012)
  33. Zhou F, "Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China : a retrospective cohort study", Lancet, 395(10229), pp.1054~1062 (2020)
  34. Shuchang Zhou, "CT Features of Coronavirus Disease 2019 (COVID-19) Pneumonia in 62 Patients in Wuhan, China", American Journal of Roentgenology, 214(6), pp.1287~1294 (2020), American Roentgen Ray Society[DOI]
  35. Yan Li, "Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management", American Journal of Roentgenology, 214(6), pp.1280~1286 (2020), American Roentgen Ray Society[DOI]
  36. Yihui Huang, "Clinical characteristics of laboratory confirmed positive cases of SARS-CoV-2 infection in Wuhan, China: A retrospective single center analysis", Travel Medicine and Infectious Disease, 36, pp.101606~ (2020), Elsevier BV[DOI]
  37. Fang Liu, "Patients of COVID-19 may benefit from sustained Lopinavir-combined regimen and the increase of Eosinophil may predict the outcome of COVID-19 progression", International Journal of Infectious Diseases, 95, pp.183~191 (2020), Elsevier BV[DOI]
  38. Kai Liu, "Clinical features of COVID-19 in elderly patients: A comparison with young and middle-aged patients", Journal of Infection, 80(6), pp.e14~e18 (2020), Elsevier BV[DOI]
  39. Wanbo Zhu, "Initial clinical features of suspected coronavirus disease 2019 in two emergency departments outside of Hubei, China", Journal of Medical Virology, 92(9), pp.1525~1532 (2020), Wiley[DOI]
  40. Wei Zhao, "Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study", American Journal of Roentgenology, 214(5), pp.1072~1077 (2020), American Roentgen Ray Society[DOI]
  41. Xu X, "Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2", Eur J Nucl Med Mol Imaging, 47(5), pp.1275~1280 (2020)
  42. Quinn SC, "Health inequalities and infectious disease epidemics : a challenge for global health security", Biosecur Bioterror, 12(5), pp.263~273 (2014)
  43. "Korean Government’s Response System" (2020)[URL]
  44. Jin YH, "A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus(2019-nCoV)infected pneumonia(standard version)", Mil Med Res, 7(1), pp.4~ (2020)
  45. Arabi YM, "Middle East respiratory syndrome", N Engl J Med, 376(6), pp.584~594 (2017)
  46. Jerome R. Lechien, "Olfactory and gustatory dysfunctions as a clinical presentation of mild-to-moderate forms of the coronavirus disease (COVID-19): a multicenter European study", European Archives of Oto-Rhino-Laryngology, 277(8), pp.2251~2261 (2020), Springer Science and Business Media LLC[DOI]
  47. COVID-19 National Emergency Response Center, "Early Epidemiological and Clinical Characteristics of 28 Cases of Coronavirus Disease in South Korea", Osong Public Health and Research Perspectives, 11(1), pp.8~14 (2020), 질병관리청[DOI]
  48. Spiteri G, "First cases of coronavirus disease 2019(COVID-19)in the WHO European Region, 24 January to 21 February 2020", Euro Surveill, 25(9), pp.2000178~ (2020)
  49. 윤순호, "Chest Radiographic and CT Findings of the 2019 Novel Coronavirus Disease (COVID-19): Analysis of Nine Patients Treated in Korea", Korean Journal of Radiology, 21(4), pp.494~500 (2020), 대한영상의학회[DOI]

관련 논문AI추천

이 간행물의 다른 논문 (20건)