Clinical Characteristics of and Medical Interventions for COVID-19 in Hemodialysis Patients in Wuhan, China.
Identifieur interne : 000300 ( Main/Corpus ); précédent : 000299; suivant : 000301Clinical Characteristics of and Medical Interventions for COVID-19 in Hemodialysis Patients in Wuhan, China.
Auteurs : Fei Xiong ; Hui Tang ; Li Liu ; Can Tu ; Jian-Bo Tian ; Chun-Tao Lei ; Jing Liu ; Jun-Wu Dong ; Wen-Li Chen ; Xiao-Hui Wang ; Dan Luo ; Ming Shi ; Xiao-Ping Miao ; Chun ZhangSource :
- Journal of the American Society of Nephrology : JASN [ 1533-3450 ] ; 2020.
English descriptors
- KwdEn :
- Age Factors (MeSH), Aged (MeSH), Chi-Square Distribution (MeSH), China (epidemiology), Comorbidity (MeSH), Coronavirus Infections (diagnosis), Coronavirus Infections (epidemiology), Coronavirus Infections (therapy), Disease Susceptibility (epidemiology), Female (MeSH), Humans (MeSH), Kidney Failure, Chronic (diagnosis), Kidney Failure, Chronic (epidemiology), Kidney Failure, Chronic (therapy), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (diagnosis), Pneumonia, Viral (epidemiology), Pneumonia, Viral (therapy), Prevalence (MeSH), Radiography, Thoracic (methods), Registries (MeSH), Renal Dialysis (methods), Renal Dialysis (statistics & numerical data), Retrospective Studies (MeSH), Risk Assessment (MeSH), Sex Factors (MeSH), Statistics, Nonparametric (MeSH), Survival Analysis (MeSH), Tomography, X-Ray Computed (methods).
- MESH :
- geographic , epidemiology : China.
- diagnosis : Coronavirus Infections, Kidney Failure, Chronic, Pneumonia, Viral.
- epidemiology : Coronavirus Infections, Disease Susceptibility, Kidney Failure, Chronic, Pneumonia, Viral.
- methods : Radiography, Thoracic, Renal Dialysis, Tomography, X-Ray Computed.
- statistics & numerical data : Renal Dialysis.
- therapy : Coronavirus Infections, Kidney Failure, Chronic, Pneumonia, Viral.
- Age Factors, Aged, Chi-Square Distribution, Comorbidity, Female, Humans, Male, Middle Aged, Pandemics, Prevalence, Registries, Retrospective Studies, Risk Assessment, Sex Factors, Statistics, Nonparametric, Survival Analysis.
Abstract
BACKGROUND
Reports indicate that those most vulnerable to developing severe coronavirus disease 2019 (COVID-19) are older adults and those with underlying illnesses, such as diabetes mellitus, hypertension, or cardiovascular disease, which are common comorbidities among patients undergoing maintenance hemodialysis. However, there is limited information about the clinical characteristics of hemodialysis patients with COVID-19 or about interventions to control COVID-19 in hemodialysis centers.
METHODS
We collected data retrospectively through an online registration system that includes all patients receiving maintenance hemodialysis at 65 centers in Wuhan, China. We reviewed epidemiologic and clinical data of patients with laboratory-confirmed COVID-19 between January 1, 2020 and March 10, 2020.
RESULTS
Of 7154 patients undergoing hemodialysis, 154 had laboratory-confirmed COVID-19. The mean age of the 131 patients in our analysis was 63.2 years; 57.3% were men. Many had underlying comorbidities, with cardiovascular disease (including hypertension) being the most common (68.7%). Only 51.9% of patients manifested fever; 21.4% of infected patients were asymptomatic. The most common finding on chest computed tomography (CT) was ground-grass or patchy opacity (82.1%). After initiating comprehensive interventions-including entrance screening of body temperature and symptoms, universal chest CT and blood tests, and other measures-new patients presenting with COVID-19 peaked at 10 per day on January 30, decreasing to 4 per day on February 11. No new cases occurred between February 26 and March 10, 2020.
CONCLUSIONS
We found that patients receiving maintenance hemodialysis were susceptible to COVID-19 and that hemodialysis centers were high-risk settings during the epidemic. Increasing prevention efforts, instituting universal screening, and isolating patients with COVID-19 and directing them to designated hemodialysis centers were effective in preventing the spread of COVID-19 in hemodialysis centers.
DOI: 10.1681/ASN.2020030354
PubMed: 32385130
PubMed Central: PMC7350995
Links to Exploration step
pubmed:32385130Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Clinical Characteristics of and Medical Interventions for COVID-19 in Hemodialysis Patients in Wuhan, China.</title><author><name sortKey="Xiong, Fei" sort="Xiong, Fei" uniqKey="Xiong F" first="Fei" last="Xiong">Fei Xiong</name><affiliation><nlm:affiliation>Department of Nephrology, Wuhan No. 1 Hospital, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Tang, Hui" sort="Tang, Hui" uniqKey="Tang H" first="Hui" last="Tang">Hui Tang</name><affiliation><nlm:affiliation>Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Liu, Li" sort="Liu, Li" uniqKey="Liu L" first="Li" last="Liu">Li Liu</name><affiliation><nlm:affiliation>Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Tu, Can" sort="Tu, Can" uniqKey="Tu C" first="Can" last="Tu">Can Tu</name><affiliation><nlm:affiliation>Department of Nephrology, Wuhan No. 1 Hospital, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Tian, Jian Bo" sort="Tian, Jian Bo" uniqKey="Tian J" first="Jian-Bo" last="Tian">Jian-Bo Tian</name><affiliation><nlm:affiliation>Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Lei, Chun Tao" sort="Lei, Chun Tao" uniqKey="Lei C" first="Chun-Tao" last="Lei">Chun-Tao Lei</name><affiliation><nlm:affiliation>Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Liu, Jing" sort="Liu, Jing" uniqKey="Liu J" first="Jing" last="Liu">Jing Liu</name><affiliation><nlm:affiliation>Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Dong, Jun Wu" sort="Dong, Jun Wu" uniqKey="Dong J" first="Jun-Wu" last="Dong">Jun-Wu Dong</name><affiliation><nlm:affiliation>Department of Nephrology, Wuhan Fourth Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Chen, Wen Li" sort="Chen, Wen Li" uniqKey="Chen W" first="Wen-Li" last="Chen">Wen-Li Chen</name><affiliation><nlm:affiliation>Department of Nephrology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Xiao Hui" sort="Wang, Xiao Hui" uniqKey="Wang X" first="Xiao-Hui" last="Wang">Xiao-Hui Wang</name><affiliation><nlm:affiliation>Department of Nephrology, Wuhan No. 5 Hospital, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Luo, Dan" sort="Luo, Dan" uniqKey="Luo D" first="Dan" last="Luo">Dan Luo</name><affiliation><nlm:affiliation>Department of Nephrology, Wuhan Third Hospital, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Shi, Ming" sort="Shi, Ming" uniqKey="Shi M" first="Ming" last="Shi">Ming Shi</name><affiliation><nlm:affiliation>Department of Nephrology, Renmin Hospital of Wuhan University, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Miao, Xiao Ping" sort="Miao, Xiao Ping" uniqKey="Miao X" first="Xiao-Ping" last="Miao">Xiao-Ping Miao</name><affiliation><nlm:affiliation>Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhang, Chun" sort="Zhang, Chun" uniqKey="Zhang C" first="Chun" last="Zhang">Chun Zhang</name><affiliation><nlm:affiliation>Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China drzhangchun@hust.edu.cn.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32385130</idno><idno type="pmid">32385130</idno><idno type="doi">10.1681/ASN.2020030354</idno><idno type="pmc">PMC7350995</idno><idno type="wicri:Area/Main/Corpus">000300</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000300</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Clinical Characteristics of and Medical Interventions for COVID-19 in Hemodialysis Patients in Wuhan, China.</title><author><name sortKey="Xiong, Fei" sort="Xiong, Fei" uniqKey="Xiong F" first="Fei" last="Xiong">Fei Xiong</name><affiliation><nlm:affiliation>Department of Nephrology, Wuhan No. 1 Hospital, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Tang, Hui" sort="Tang, Hui" uniqKey="Tang H" first="Hui" last="Tang">Hui Tang</name><affiliation><nlm:affiliation>Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Liu, Li" sort="Liu, Li" uniqKey="Liu L" first="Li" last="Liu">Li Liu</name><affiliation><nlm:affiliation>Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Tu, Can" sort="Tu, Can" uniqKey="Tu C" first="Can" last="Tu">Can Tu</name><affiliation><nlm:affiliation>Department of Nephrology, Wuhan No. 1 Hospital, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Tian, Jian Bo" sort="Tian, Jian Bo" uniqKey="Tian J" first="Jian-Bo" last="Tian">Jian-Bo Tian</name><affiliation><nlm:affiliation>Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Lei, Chun Tao" sort="Lei, Chun Tao" uniqKey="Lei C" first="Chun-Tao" last="Lei">Chun-Tao Lei</name><affiliation><nlm:affiliation>Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Liu, Jing" sort="Liu, Jing" uniqKey="Liu J" first="Jing" last="Liu">Jing Liu</name><affiliation><nlm:affiliation>Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Dong, Jun Wu" sort="Dong, Jun Wu" uniqKey="Dong J" first="Jun-Wu" last="Dong">Jun-Wu Dong</name><affiliation><nlm:affiliation>Department of Nephrology, Wuhan Fourth Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Chen, Wen Li" sort="Chen, Wen Li" uniqKey="Chen W" first="Wen-Li" last="Chen">Wen-Li Chen</name><affiliation><nlm:affiliation>Department of Nephrology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Xiao Hui" sort="Wang, Xiao Hui" uniqKey="Wang X" first="Xiao-Hui" last="Wang">Xiao-Hui Wang</name><affiliation><nlm:affiliation>Department of Nephrology, Wuhan No. 5 Hospital, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Luo, Dan" sort="Luo, Dan" uniqKey="Luo D" first="Dan" last="Luo">Dan Luo</name><affiliation><nlm:affiliation>Department of Nephrology, Wuhan Third Hospital, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Shi, Ming" sort="Shi, Ming" uniqKey="Shi M" first="Ming" last="Shi">Ming Shi</name><affiliation><nlm:affiliation>Department of Nephrology, Renmin Hospital of Wuhan University, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Miao, Xiao Ping" sort="Miao, Xiao Ping" uniqKey="Miao X" first="Xiao-Ping" last="Miao">Xiao-Ping Miao</name><affiliation><nlm:affiliation>Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhang, Chun" sort="Zhang, Chun" uniqKey="Zhang C" first="Chun" last="Zhang">Chun Zhang</name><affiliation><nlm:affiliation>Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China drzhangchun@hust.edu.cn.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Journal of the American Society of Nephrology : JASN</title><idno type="eISSN">1533-3450</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Age Factors (MeSH)</term><term>Aged (MeSH)</term><term>Chi-Square Distribution (MeSH)</term><term>China (epidemiology)</term><term>Comorbidity (MeSH)</term><term>Coronavirus Infections (diagnosis)</term><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (therapy)</term><term>Disease Susceptibility (epidemiology)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Kidney Failure, Chronic (diagnosis)</term><term>Kidney Failure, Chronic (epidemiology)</term><term>Kidney Failure, Chronic (therapy)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (diagnosis)</term><term>Pneumonia, Viral (epidemiology)</term><term>Pneumonia, Viral (therapy)</term><term>Prevalence (MeSH)</term><term>Radiography, Thoracic (methods)</term><term>Registries (MeSH)</term><term>Renal Dialysis (methods)</term><term>Renal Dialysis (statistics & numerical data)</term><term>Retrospective Studies (MeSH)</term><term>Risk Assessment (MeSH)</term><term>Sex Factors (MeSH)</term><term>Statistics, Nonparametric (MeSH)</term><term>Survival Analysis (MeSH)</term><term>Tomography, X-Ray Computed (methods)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term><term>Kidney Failure, Chronic</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Disease Susceptibility</term><term>Kidney Failure, Chronic</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Radiography, Thoracic</term><term>Renal Dialysis</term><term>Tomography, X-Ray Computed</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Renal Dialysis</term></keywords><keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Coronavirus Infections</term><term>Kidney Failure, Chronic</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Age Factors</term><term>Aged</term><term>Chi-Square Distribution</term><term>Comorbidity</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Prevalence</term><term>Registries</term><term>Retrospective Studies</term><term>Risk Assessment</term><term>Sex Factors</term><term>Statistics, Nonparametric</term><term>Survival Analysis</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Reports indicate that those most vulnerable to developing severe coronavirus disease 2019 (COVID-19) are older adults and those with underlying illnesses, such as diabetes mellitus, hypertension, or cardiovascular disease, which are common comorbidities among patients undergoing maintenance hemodialysis. However, there is limited information about the clinical characteristics of hemodialysis patients with COVID-19 or about interventions to control COVID-19 in hemodialysis centers.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>We collected data retrospectively through an online registration system that includes all patients receiving maintenance hemodialysis at 65 centers in Wuhan, China. We reviewed epidemiologic and clinical data of patients with laboratory-confirmed COVID-19 between January 1, 2020 and March 10, 2020.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Of 7154 patients undergoing hemodialysis, 154 had laboratory-confirmed COVID-19. The mean age of the 131 patients in our analysis was 63.2 years; 57.3% were men. Many had underlying comorbidities, with cardiovascular disease (including hypertension) being the most common (68.7%). Only 51.9% of patients manifested fever; 21.4% of infected patients were asymptomatic. The most common finding on chest computed tomography (CT) was ground-grass or patchy opacity (82.1%). After initiating comprehensive interventions-including entrance screening of body temperature and symptoms, universal chest CT and blood tests, and other measures-new patients presenting with COVID-19 peaked at 10 per day on January 30, decreasing to 4 per day on February 11. No new cases occurred between February 26 and March 10, 2020.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>We found that patients receiving maintenance hemodialysis were susceptible to COVID-19 and that hemodialysis centers were high-risk settings during the epidemic. Increasing prevention efforts, instituting universal screening, and isolating patients with COVID-19 and directing them to designated hemodialysis centers were effective in preventing the spread of COVID-19 in hemodialysis centers.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32385130</PMID><DateCompleted><Year>2020</Year><Month>07</Month><Day>13</Day></DateCompleted><DateRevised><Year>2020</Year><Month>07</Month><Day>21</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1533-3450</ISSN><JournalIssue CitedMedium="Internet"><Volume>31</Volume><Issue>7</Issue><PubDate><Year>2020</Year><Month>07</Month></PubDate></JournalIssue><Title>Journal of the American Society of Nephrology : JASN</Title><ISOAbbreviation>J. Am. Soc. Nephrol.</ISOAbbreviation></Journal><ArticleTitle>Clinical Characteristics of and Medical Interventions for COVID-19 in Hemodialysis Patients in Wuhan, China.</ArticleTitle><Pagination><MedlinePgn>1387-1397</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1681/ASN.2020030354</ELocationID><Abstract><AbstractText Label="BACKGROUND">Reports indicate that those most vulnerable to developing severe coronavirus disease 2019 (COVID-19) are older adults and those with underlying illnesses, such as diabetes mellitus, hypertension, or cardiovascular disease, which are common comorbidities among patients undergoing maintenance hemodialysis. However, there is limited information about the clinical characteristics of hemodialysis patients with COVID-19 or about interventions to control COVID-19 in hemodialysis centers.</AbstractText><AbstractText Label="METHODS">We collected data retrospectively through an online registration system that includes all patients receiving maintenance hemodialysis at 65 centers in Wuhan, China. We reviewed epidemiologic and clinical data of patients with laboratory-confirmed COVID-19 between January 1, 2020 and March 10, 2020.</AbstractText><AbstractText Label="RESULTS">Of 7154 patients undergoing hemodialysis, 154 had laboratory-confirmed COVID-19. The mean age of the 131 patients in our analysis was 63.2 years; 57.3% were men. Many had underlying comorbidities, with cardiovascular disease (including hypertension) being the most common (68.7%). Only 51.9% of patients manifested fever; 21.4% of infected patients were asymptomatic. The most common finding on chest computed tomography (CT) was ground-grass or patchy opacity (82.1%). After initiating comprehensive interventions-including entrance screening of body temperature and symptoms, universal chest CT and blood tests, and other measures-new patients presenting with COVID-19 peaked at 10 per day on January 30, decreasing to 4 per day on February 11. No new cases occurred between February 26 and March 10, 2020.</AbstractText><AbstractText Label="CONCLUSIONS">We found that patients receiving maintenance hemodialysis were susceptible to COVID-19 and that hemodialysis centers were high-risk settings during the epidemic. Increasing prevention efforts, instituting universal screening, and isolating patients with COVID-19 and directing them to designated hemodialysis centers were effective in preventing the spread of COVID-19 in hemodialysis centers.</AbstractText><CopyrightInformation>Copyright © 2020 by the American Society of Nephrology.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Xiong</LastName><ForeName>Fei</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Department of Nephrology, Wuhan No. 1 Hospital, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tang</LastName><ForeName>Hui</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Li</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tu</LastName><ForeName>Can</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Department of Nephrology, Wuhan No. 1 Hospital, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tian</LastName><ForeName>Jian-Bo</ForeName><Initials>JB</Initials><AffiliationInfo><Affiliation>Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lei</LastName><ForeName>Chun-Tao</ForeName><Initials>CT</Initials><AffiliationInfo><Affiliation>Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Jing</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dong</LastName><ForeName>Jun-Wu</ForeName><Initials>JW</Initials><AffiliationInfo><Affiliation>Department of Nephrology, Wuhan Fourth Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chen</LastName><ForeName>Wen-Li</ForeName><Initials>WL</Initials><AffiliationInfo><Affiliation>Department of Nephrology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Xiao-Hui</ForeName><Initials>XH</Initials><AffiliationInfo><Affiliation>Department of Nephrology, Wuhan No. 5 Hospital, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Luo</LastName><ForeName>Dan</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Department of Nephrology, Wuhan Third Hospital, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shi</LastName><ForeName>Ming</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Nephrology, Renmin Hospital of Wuhan University, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Miao</LastName><ForeName>Xiao-Ping</ForeName><Initials>XP</Initials><AffiliationInfo><Affiliation>Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Chun</ForeName><Initials>C</Initials><Identifier Source="ORCID">0000-0003-3565-8024</Identifier><AffiliationInfo><Affiliation>Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China drzhangchun@hust.edu.cn.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016448">Multicenter Study</PublicationType><PublicationType UI="D064888">Observational Study</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>05</Month><Day>08</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Am Soc Nephrol</MedlineTA><NlmUniqueID>9013836</NlmUniqueID><ISSNLinking>1046-6673</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016009" MajorTopicYN="N">Chi-Square Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015897" MajorTopicYN="N">Comorbidity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004198" MajorTopicYN="N">Disease Susceptibility</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007676" MajorTopicYN="N">Kidney Failure, Chronic</DescriptorName><QualifierName UI="Q000175" 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