Characteristics of deaths amongst health workers in China during the outbreak of COVID-19 infection
Identifieur interne : 000480 ( Pmc/Corpus ); précédent : 000479; suivant : 000481Characteristics of deaths amongst health workers in China during the outbreak of COVID-19 infection
Auteurs : Wei Li ; Jie Zhang ; Shifu Xiao ; Lin SunSource :
- The Journal of Infection [ 0163-4453 ] ; 2020.
Url:
DOI: 10.1016/j.jinf.2020.03.030
PubMed: 32277966
PubMed Central: 7141456
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Characteristics of deaths amongst health workers in China during the outbreak of COVID-19 infection</title><author><name sortKey="Li, Wei" sort="Li, Wei" uniqKey="Li W" first="Wei" last="Li">Wei Li</name><affiliation><nlm:aff id="aff0001">Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, No. 600 South Wanping Road, Shanghai, China</nlm:aff></affiliation></author><author><name sortKey="Zhang, Jie" sort="Zhang, Jie" uniqKey="Zhang J" first="Jie" last="Zhang">Jie Zhang</name><affiliation><nlm:aff id="aff0002">Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopaedic Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China</nlm:aff></affiliation></author><author><name sortKey="Xiao, Shifu" sort="Xiao, Shifu" uniqKey="Xiao S" first="Shifu" last="Xiao">Shifu Xiao</name><affiliation><nlm:aff id="aff0001">Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, No. 600 South Wanping Road, Shanghai, China</nlm:aff></affiliation></author><author><name sortKey="Sun, Lin" sort="Sun, Lin" uniqKey="Sun L" first="Lin" last="Sun">Lin Sun</name><affiliation><nlm:aff id="aff0001">Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, No. 600 South Wanping Road, Shanghai, China</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">32277966</idno><idno type="pmc">7141456</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141456</idno><idno type="RBID">PMC:7141456</idno><idno type="doi">10.1016/j.jinf.2020.03.030</idno><date when="2020">2020</date><idno type="wicri:Area/Pmc/Corpus">000480</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000480</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Characteristics of deaths amongst health workers in China during the outbreak of COVID-19 infection</title><author><name sortKey="Li, Wei" sort="Li, Wei" uniqKey="Li W" first="Wei" last="Li">Wei Li</name><affiliation><nlm:aff id="aff0001">Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, No. 600 South Wanping Road, Shanghai, China</nlm:aff></affiliation></author><author><name sortKey="Zhang, Jie" sort="Zhang, Jie" uniqKey="Zhang J" first="Jie" last="Zhang">Jie Zhang</name><affiliation><nlm:aff id="aff0002">Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopaedic Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China</nlm:aff></affiliation></author><author><name sortKey="Xiao, Shifu" sort="Xiao, Shifu" uniqKey="Xiao S" first="Shifu" last="Xiao">Shifu Xiao</name><affiliation><nlm:aff id="aff0001">Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, No. 600 South Wanping Road, Shanghai, China</nlm:aff></affiliation></author><author><name sortKey="Sun, Lin" sort="Sun, Lin" uniqKey="Sun L" first="Lin" last="Sun">Lin Sun</name><affiliation><nlm:aff id="aff0001">Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, No. 600 South Wanping Road, Shanghai, China</nlm:aff></affiliation></author></analytic><series><title level="j">The Journal of Infection</title><idno type="ISSN">0163-4453</idno><idno type="eISSN">1532-2742</idno><imprint><date when="2020">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Chen, Q" uniqKey="Chen Q">Q. Chen</name></author><author><name sortKey="Liang, M" uniqKey="Liang M">M. Liang</name></author><author><name sortKey="Li, Y" uniqKey="Li Y">Y. Li</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Yh, X" uniqKey="Yh X">X. YH</name></author><author><name sortKey="Jh, D" uniqKey="Jh D">D. JH</name></author><author><name sortKey="Wm, A" uniqKey="Wm A">A. WM</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wu, P" uniqKey="Wu P">P. Wu</name></author><author><name sortKey="Fang, Y" uniqKey="Fang Y">Y. Fang</name></author><author><name sortKey="Guan, Z" uniqKey="Guan Z">Z. Guan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Zeng, Y" uniqKey="Zeng Y">Y. Zeng</name></author><author><name sortKey="Zhen, Y" uniqKey="Zhen Y">Y. Zhen</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Calefi, A S" uniqKey="Calefi A">A.S. 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E</name></author><author><name sortKey="A, U E" uniqKey="A U">U.-E. A</name></author><author><name sortKey="K, R" uniqKey="K R">R. K</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Z, W" uniqKey="Z W">W. Z</name></author><author><name sortKey="Jm, M" uniqKey="Jm M">M. JM</name></author></analytic></biblStruct></listBibl></div1></back></TEI><pmc article-type="letter"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">J Infect</journal-id><journal-id journal-id-type="iso-abbrev">J. Infect</journal-id><journal-title-group><journal-title>The Journal of Infection</journal-title></journal-title-group><issn pub-type="ppub">0163-4453</issn><issn pub-type="epub">1532-2742</issn><publisher><publisher-name>The British Infection Association. Published by Elsevier Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">32277966</article-id><article-id pub-id-type="pmc">7141456</article-id><article-id pub-id-type="publisher-id">S0163-4453(20)30158-4</article-id><article-id pub-id-type="doi">10.1016/j.jinf.2020.03.030</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Characteristics of deaths amongst health workers in China during the outbreak of COVID-19 infection</article-title></title-group><contrib-group><contrib contrib-type="author" id="au0001"><name><surname>Li</surname><given-names>Wei</given-names></name><xref rid="aff0001" ref-type="aff">a</xref><xref rid="fn1" ref-type="fn">1</xref></contrib><contrib contrib-type="author" id="au0002"><name><surname>Zhang</surname><given-names>Jie</given-names></name><xref rid="aff0002" ref-type="aff">b</xref><xref rid="fn1" ref-type="fn">1</xref></contrib><contrib contrib-type="author" id="au0003"><name><surname>Xiao</surname><given-names>Shifu</given-names></name><email>xiaoshifu@msn.com</email><xref rid="aff0001" ref-type="aff">a</xref><xref rid="cor0001" ref-type="corresp">⁎</xref></contrib><contrib contrib-type="author" id="au0004"><name><surname>Sun</surname><given-names>Lin</given-names></name><email>xiaosuan2004@126.com</email><xref rid="aff0001" ref-type="aff">a</xref><xref rid="cor0001" ref-type="corresp">⁎</xref></contrib><aff id="aff0001"><label>a</label>Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, No. 600 South Wanping Road, Shanghai, China</aff><aff id="aff0002"><label>b</label>Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopaedic Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China</aff></contrib-group><author-notes><corresp id="cor0001"><label>⁎</label>Correspondence authors. <email>xiaoshifu@msn.com</email><email>xiaosuan2004@126.com</email></corresp><fn id="fn1"><label>1</label><p id="notep0001">These author Contribute equally</p></fn></author-notes><pub-date pub-type="pmc-release"><day>8</day><month>4</month><year>2020</year></pub-date><pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
<pub-date pub-type="epub"><day>8</day><month>4</month><year>2020</year></pub-date><history><date date-type="accepted"><day>18</day><month>3</month><year>2020</year></date></history><permissions><copyright-statement>© 2020 The British Infection Association. Published by Elsevier Ltd. All rights reserved.</copyright-statement><copyright-year>2020</copyright-year><copyright-holder>Elsevier Ltd</copyright-holder><license><license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p></license></permissions></article-meta></front><body><p content-type="salutation"><italic>Dear Editor,</italic></p><p id="para0002">Since December, 2019, an outbreak of a novel coronavirus pneumonia (COVID-19) occurred in Wuhan (Hubei, China).<xref rid="bib0001" ref-type="bibr"><sup>1</sup></xref> Recent papers in this journal also described the clinical and computed tomographic imaging features of novel coronavirus pneumonia caused by COVID-19.<xref rid="bib0002" ref-type="bibr"><sup>2</sup></xref> During nearly two months of fighting against the epidemic, health workers were under great physiological and psychological pressure in China.<xref rid="bib0003" ref-type="bibr"><sup>3</sup></xref> For example, due to wearing protective clothing, many health workers avoided drinking water and wore adult diapers for a long time, so that some of them fainted under hypoxia and hypoglycaemia.<xref rid="bib0004" ref-type="bibr"><sup>4</sup></xref> Previous studies showed that stress could increase the risk of infection<xref rid="bib0005" ref-type="bibr"><sup>5</sup></xref> as well as induce ventricular arrhythmia, and thus sudden cardiac death.<xref rid="bib0006" ref-type="bibr"><sup>6</sup></xref> As a result, the medical staff in the front-line fighting against the novel coronary pneumonia were facing high risks of virus infection and sudden death. In 2003, more than 1,000 health workers were attacked by severe acute respiratory syndrome (SARS) and 124 deaths were observed in China. As of Mar 16, 2020, 24 health workers had died during the outbreak of COVID-19 infection in China.</p><p id="para0003">We retrieved information on 24 cases of deceased health workers based on official reports from governmental institutes, as well as reports from news sites. Data available to the public included gender, age, cause of death, location city, date of disease onset, date of admission, date of death, and hospital levels they worked. We grouped cases into three groups based on the cause of death, which included COVID-19 infection, sudden death, and traffic accident groups. Mann-Whitney U test was applied to compare continuous variables because the data was non-normal distribution, and Fisher exact test was used for categorical variables because the data number was limited.</p><p id="para0004">Thirteen (54.2%) cases died of COVID-19 infection, 8 (33.3%) suffered from sudden death including cardiac arrest, myocardial infarction, and other non-confirmed diseases, and 3 (12.5%) died in traffic accidents during work time or after work (<xref rid="tbl0001" ref-type="table">Table 1</xref>). The basic information of all the deceased health workers was listed in <xref rid="fig0001" ref-type="fig">Fig 1</xref>A. The median age was 50.5 years (IQR: 36.25-56.5), ranging from 26 to 69 years. A total of 72,314 patient record showed that 81% of dead cases were aged 60 years or older and 12.7% were aged 50 to 59 years.<xref rid="bib0007" ref-type="bibr"><sup>7</sup></xref> The median age of deceased medical staff was obviously younger than that of the general population, because medical staff were mostly in employment who were younger than 60 years. Up to 83.3% of deceased medical workers were males and no sex differences existed among COVID-19 infection group, sudden death group, and traffic accident group. In the group of infection, 11 deceased cases (84.6%) were males. Zhang reported that the overall case fatality rate of male patients (rough estimate: 2.8%) was significantly higher than that of female patients (rough estimate: 1.7%).<xref rid="bib0007" ref-type="bibr"><sup>7</sup></xref> In the group of sudden death, 7 cases (87.5%) were males. Previous study revealed that, at 45 years of age, lifetime risks for sudden cardiac death were 10.9% for men and 2.8% for women,<xref rid="bib0008" ref-type="bibr"><sup>8</sup></xref> which was similar to the results in our study. The above data suggested that males had a higher risk of death due to COVID-19 infection and sudden death than females.<table-wrap position="float" id="tbl0001"><label>Table 1</label><caption><p>Demographics of deceased medical workers in China by Mar 16, 2020</p></caption><alt-text id="alt0002">Table 1</alt-text><table frame="hsides" rules="groups"><thead><tr><th valign="top">Characteristic</th><th valign="top">Total(n=24)</th><th valign="top">COVID-19 infection(n=13, 54.2%)</th><th valign="top">Sudden death(n=8, 33.3%)</th><th valign="top">Traffic accident(n=3, 12.5%)</th><th valign="top">Z/χ2(<italic>P</italic> /Fisher <italic>P</italic>)</th></tr></thead><tbody><tr><td valign="top">Age, Median (IQR) -yrs</td><td valign="top">50.5(36.25-56.5)</td><td valign="top">51(38.0-58.0)</td><td valign="top">50(36.25-56.5)</td><td valign="top">/</td><td valign="top">-0.399(0.690)</td></tr><tr><td valign="top">Male, No. (%)</td><td valign="top">20(83.3)</td><td valign="top">11(84.6)</td><td valign="top">7(87.5)</td><td valign="top">2(66.7)</td><td valign="top">1.180(0.579)</td></tr><tr><td valign="top">Hubei resident, No. (%)</td><td valign="top">11(45.8)</td><td valign="top">11(84.6)</td><td valign="top">0(0.0)</td><td valign="top">0(0.0)</td><td valign="top">17.293(0.000*)</td></tr><tr><td valign="top">Wuhan resident, No. (%)</td><td valign="top">9(37.5)</td><td valign="top">9(69.2)</td><td valign="top">0(0.0)</td><td valign="top">0(0.0)</td><td valign="top">11.684(0.001*)</td></tr><tr><td valign="top">Community hospital, No. (%)</td><td valign="top">11(45.8)</td><td valign="top">3(23.1)</td><td valign="top">5(62.5)</td><td valign="top">3(100.0)</td><td valign="top">6.644(0.022*)</td></tr><tr><td valign="top">Onset to admission, Median (IQR)-days</td><td valign="top">/</td><td valign="top">2(1-5.5) (n=9)</td><td valign="top">/</td><td valign="top">/</td><td valign="top">/</td></tr><tr><td valign="top">Admission to death, Median (IQR)-days</td><td valign="top">/</td><td valign="top">26(21.25-36.5) (n=12)</td><td valign="top">/</td><td valign="top">/</td><td valign="top">/</td></tr><tr><td valign="top">Onset to death, Median (IQR)-days</td><td valign="top">/</td><td valign="top">30.5(25-35.25) (n=10)</td><td valign="top">/</td><td valign="top">/</td><td valign="top">/</td></tr></tbody></table></table-wrap><fig id="fig0001"><label>Fig. 1</label><caption><p>A) Death date, demographics, and death cause of medical workers in China by Mar 16, 2020. Infection with COVID-19 marked with blue, sudden death marked with purple, and traffic death marked with red. B) The new number of deceased medical workers with confirmed COVID-19 infection at admission per 5 days (marked with blue), new number of medical workers with sudden death per 5 days (marked with purple), and new number of medical workers with traffic accident per 5 days (marked with red).</p></caption><alt-text id="alt0001">Fig 1</alt-text><graphic xlink:href="gr1_lrg"></graphic></fig></p><p id="para0005">Transmission of COVID-19 occurred in the hospital setting. In the group of COVID-19 infection, there were more medical staff working in Hubei province (84.6%) and Wuhan city (69.2%), which was consistent with the result of 63% of infected medical staffs in Wuhan in a recent report.<xref rid="bib0009" ref-type="bibr"><sup>9</sup></xref> Due to the severity of COVID-19 infection in Hubei, more nosocomial infections and deaths occurred in Hubei than other provinces. As of February 11, 2020, 3,019 cases have been observed among health workers, of whom there have been 1,716 confirmed cases. Among health workers infected, 14.8% of confirmed cases were classified as severe or critical, and 5 deaths were observed.<xref rid="bib0009" ref-type="bibr"><sup>9</sup></xref> Among all the deceased medical staff with COVID-19 infection, the median of period from disease onset to hospital admission was 2 days (IQR: 1-5.5), and the median of period from admission to death was 26 days (IQR: 21.25-36.5) (<xref rid="tbl0001" ref-type="table">Table 1</xref>). Based on the admission date of staff with COVID-19 infection and the death date of staff with sudden death, the new number of deceased health workers per 5 days was listed in Fig 2. Attacked infection mostly occurred on January and sudden death mainly happened from Jan 23 to Feb 10, 2020.</p><p id="para0006">Furthermore, there were more health workers who worked in community hospitals suffering from sudden death or traffic accident. Sudden death due to huge work and lack of rest happened since Jan 23, 2020, when comprehensive measures for epidemic prevention and control were taken nationwide. Large-scale work including temperature measurements, door to door visit, medicine delivery, patients transfer, disinfection, etc., had been completed by community or village medical workers. Some village doctors even lived and ate in the village clinics. On Feb 22,2020, the Chinese government took a series of measures to protect and support health workers in the front line, such as improving the quality of life, strengthening personal protection, arranging rest in turns, and relieving mental stress. Afterwards, the incidence of accidental death decreased significantly.</p><p id="para0007">In summary, there were more males in the fatality of health workers, more sudden death happening to community health workers, and more death due to COVID-19 infection occurring in Hubei health workers during the outbreak of COVID-19 in China.</p><sec sec-type="COI-statement"><title>Declaration of Competing Interest</title><p id="para0008">None</p></sec></body><back><ref-list id="cebibl1"><title>References</title><ref id="bib0001"><label>1</label><element-citation publication-type="journal" id="sbref0001"><person-group person-group-type="author"><name><surname>Chen</surname><given-names>Q.</given-names></name><name><surname>Liang</surname><given-names>M.</given-names></name><name><surname>Li</surname><given-names>Y.</given-names></name></person-group><article-title>Mental health care for medical staff in China during the COVID-19 outbreak</article-title><source>The lancet 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| HfdSelect -Kh $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a StressCovidV1
| This area was generated with Dilib version V0.6.33. |  |