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Abstract

Information on severity of coronavirus disease (COVID-19) (transmissibility, disease seriousness, impact) is crucial for preparation of healthcare sectors. We present a simple approach to assess disease seriousness, creating a reference cohort of pneumonia patients from sentinel hospitals. First comparisons exposed a higher rate of COVID-19 patients requiring ventilation. There were more case fatalities among COVID-19 patients without comorbidities than in the reference cohort. Hospitals should prepare for high utilisation of ventilation and intensive care resources.

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/content/10.2807/1560-7917.ES.2020.25.11.2000258
2020-03-19
2024-12-30
/content/10.2807/1560-7917.ES.2020.25.11.2000258
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References

  1. World Health Organization (WHO). Pandemic Influenza Severity Assessment (PISA): A WHO guide to assess the severity of influenza epidemics and pandemics. Geneva: WHO; 2017. Available from: https://apps.who.int/iris/bitstream/handle/10665/259392/WHO-WHE-IHM-GIP-2017.2-eng.pdf?sequence=1
  2. Liu Y, Gayle AA, Wilder-Smith A, Rocklöv J. The reproductive number of COVID-19 is higher compared to SARS coronavirus. J Travel Med. 2020;27(2):taaa021.  https://doi.org/10.1093/jtm/taaa021  PMID: 32052846 
  3. Ji Y, Ma Z, Peppelenbosch MP, Pan Q. Potential association between COVID-19 mortality and health-care resource availability. Lancet Glob Health. 2020;S2214-109X(20)30068-1.  https://doi.org/10.1016/S2214-109X(20)30068-1  PMID: 32109372 
  4. Zhang H. Early lessons from the frontline of the 2019-nCoV outbreak. Lancet. 2020;395(10225):687.  https://doi.org/10.1016/S0140-6736(20)30356-1  PMID: 32059798 
  5. Tian S, Hu N, Lou J, Chen K, Kang X, Xiang Z, et al. Characteristics of COVID-19 infection in Beijing. J Infect. 2020;S0163-4453(20)30101-8. PMID: 32112886 
  6. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. Jama. 2020. Epub ahead of print
  7. 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;395(10223):507-13.  https://doi.org/10.1016/S0140-6736(20)30211-7  PMID: 32007143 
  8. Qingxian Cai P, Deliang Huang M, Pengcheng Ou P, Hong Yu M, Zhu Z, Xia Z, et al. 2019-nCoV pneumonia in a normal work infectious diseases hospital besides Hubei Province, China. Lancet Infect Dis. Preprint 25 Feb 2020.
  9. Liu K, Fang YY, Deng Y, Liu W, Wang MF, Ma JP, et al. Clinical characteristics of novel coronavirus cases in tertiary hospitals in Hubei Province. Chin Med J (Engl). 2020;1.  https://doi.org/10.1097/CM9.0000000000000744  PMID: 32044814 
  10. Xu X-W, Wu X-X, Jiang X-G, Xu K-J, Ying L-J, Ma C-L, 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;368:m606.  https://doi.org/10.1136/bmj.m606  PMID: 32075786 
  11. Qian G-Q, Yang N-B, Ding F, Ma AHY, Wang Z-Y, Shen Y-F, et al. Epidemiologic and clinical characteristics of 91 hospitalized patients with covid-19 in Zhejiang, China: a retrospective, multi-centre case series. medRxiv. 2020.
  12. Zhang B, Zhou X, Qiu Y, Feng F, Feng J, Jia Y, et al. Clinical characteristics of 82 death cases with COVID-19. medRxiv. 2020.02.26.20028191. doi: https://doi.org/10.1101/2020.02.26.20028191.
  13. ICD-10-GM Version. 2019, Systematisches Verzeichnis, Internationale statistische Klassifikation der Krankheiten und verwandter Gesundheitsprobleme, 10. Revision, Stand: 21.September 2018. Köln: Deutsches Institut für Medizinische Dokumentation und Information (DIMDI); 2018. Available from: https://www.dimdi.de/static/de/klassifikationen/icd/icd-10-gm/kode-suche/htmlgm2019/
  14. Yang X, Yu Y, Xu J, Shu H, Xia J, Liu H, et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med. 2020;S2213-2600(20)30079-5.  https://doi.org/10.1016/S2213-2600(20)30079-5  PMID: 32105632 
  15. United Nations Department of Economic and Social Affairs (UN DESA). World population prospects 2019. New York: UN DESA; 2019. Available from: https://population.un.org/wpp/
  16. Guan W-j, Liang W-h, Zhao Y, Liang H-r, Chen Z-s, Li Y-m, et al. Comorbidity and its impact on 1,590 patients with COVID-19 in China: A Nationwide Analysis. medRxiv. 2020.02.25.20027664; doi: https://doi.org/10.1101/2020.02.25.20027664
  17. Weber-Carstens S, Goldmann A, Quintel M, Kalenka A, Kluge S, Peters J, et al. Extracorporeal lung support in H1N1 provoked acute respiratory failure: the experience of the German ARDS Network. Dtsch Arztebl Int. 2013;110(33-34):543-9.  https://doi.org/10.3238/arztebl.2013.0543  PMID: 24069078 
  18. Qi R, Ye C, Qin X-r, Yu X-J. Case fatality rate of novel coronavirus disease 2019 in China. medRxiv. 2020.02.26.20028076; doi: https://doi.org/10.1101/2020.02.26.20028076
  19. Linton NM, Kobayashi T, Yang Y, Hayashi K, Akhmetzhanov AR, Jung SM, et al. Incubation period and other epidemiological characteristics of 2019 novel coronavirus infections with right truncation: a statistical analysis of publicly available case data. J Clin Med. 2020;9(2):E538.  https://doi.org/10.3390/jcm9020538  PMID: 32079150 
  20. Koch M, Butt T, Guo W, Li X, Chen Y, Tan D, et al. Characteristics and health burden of the undiagnosed population at risk of chronic obstructive pulmonary disease in China. BMC Public Health. 2019;19(1):1727.  https://doi.org/10.1186/s12889-019-8071-8  PMID: 31870442 
  21. Diab N, Gershon AS, Sin DD, Tan WC, Bourbeau J, Boulet LP, et al. Underdiagnosis and overdiagnosis of chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2018;198(9):1130-9.  https://doi.org/10.1164/rccm.201804-0621CI  PMID: 29979608 
Influenza-associated pneumonia as reference to assess seriousness of coronavirus disease (COVID-19)
<p class="citation"> <span>Citation style for this article:</span> <span class="meta-value authors"> <a href="/search?value1=Kristin+Tolksdorf&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Tolksdorf Kristin</a>, <a href="/search?value1=Silke+Buda&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Buda Silke</a>, <a href="/search?value1=Ekkehard+Schuler&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Schuler Ekkehard</a>, <a href="/search?value1=Lothar+H+Wieler&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Wieler Lothar H</a>, <a href="/search?value1=Walter+Haas&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Haas Walter</a></span>. Influenza-associated pneumonia as reference to assess seriousness of coronavirus disease (COVID-19). <a href="/content/ecdc">Euro Surveill.</a> 2020;25(11):pii=2000258. <a href="https://doi.org/10.2807/1560-7917.ES.2020.25.11.2000258" title="doi link" target="_blank">https://doi.org/10.2807/1560-7917.ES.2020.25.11.2000258</a> <span class="ES_Article_citation"> <span class="generated">Received</span>: 06 Mar 2020;&nbsp;&nbsp; <span class="generated">Accepted</span>: 16 Mar 2020 </span> </p>
/content/10.2807/1560-7917.ES.2020.25.11.2000258
/content/10.2807/1560-7917.ES.2020.25.11.2000258
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