Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China
•Male gender and comorbidity were the independent risk factors for death in COVID-19 patients.•Lymphopenia and high CRP were the independent risk factors for poor outcome in COVID-19.•The risk factors would facilitate early identification of high-risk COVID-19 patients. A few studies have revealed t...
Gespeichert in:
| Veröffentlicht in: | Journal of clinical virology 2020-06, Vol.127, p.104392-104392, Article 104392 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 104392 |
|---|---|
| container_issue | |
| container_start_page | 104392 |
| container_title | Journal of clinical virology |
| container_volume | 127 |
| creator | Zhang, Jun Yu, Miao Tong, Song Liu, Lu-Yu Tang, Liang-V. |
| description | •Male gender and comorbidity were the independent risk factors for death in COVID-19 patients.•Lymphopenia and high CRP were the independent risk factors for poor outcome in COVID-19.•The risk factors would facilitate early identification of high-risk COVID-19 patients.
A few studies have revealed the clinical characteristics of hospitalized patients with COVID-19. However, predictive factors for the outcomes remain unclear.
Attempted to determine the predictive factors for the poor outcomes of patients with COVID-19.
This is a single-center, retrospective study. Clinical, laboratory, and treatment data were collected and analyzed from 111 hospitalized patients with laboratory-confirmed COVID-19 in Union Hospital. The gathered data of discharged and deteriorated patients were compared.
Among these 111 patients, 93 patients were discharged and 18 patients were deteriorated. The lymphocyte count (0.56 G/L [0.47−0.63] vs 1.30 G/L [0.95−1.65]) was lower in the deteriorated group than those in the discharged group. The numbers of pulmonary lobe involved (5.00 [5.00–5.00] vs 4.00 [2.00−5.00]), serum C‐reactive protein (CRP, 79.52 mg/L [61.25−102.98] vs 7.93 mg/L [3.14−22.50]), IL-6 (35.72 pg/mL [9.24−85.19] vs 5.09 pg/mL [3.16−9.72]), and IL-10 (5.35 pg/mL [4.48−7.84] vs 3.97 pg/mL [3.34−4.79]) concentrations in deteriorated patients were elevated compared with discharged patients. Multivariate logistic regression analysis showed that male gender (OR, 24.8 [1.8−342.1]), comorbidity (OR, 52.6 [3.6−776.4]), lymphopenia (OR, 17.3 [1.1−261.8]), and elevated CRP (OR, 96.5 [4.6−2017.6]) were the independent risk factors for the poor prognosis in COVID-19 patients.
This finding would facilitate the early identification of high-risk COVID-19 patients. |
| doi_str_mv | 10.1016/j.jcv.2020.104392 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7187844</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1386653220301347</els_id><sourcerecordid>2398164571</sourcerecordid><originalsourceid>FETCH-LOGICAL-c451t-7920252a5dd85780af8d751b367ca752ed530ea7dbfa1f01fc541c38c03aabfc3</originalsourceid><addsrcrecordid>eNp9kUuLFDEUhQtRnHH0B7iRLF1YbR6VShWCMDS-YEAXistwO7mZSlNdqUlSJfrrTdNjoxtXScg5Jzfnq6rnjG4YZe3r_WZv1g2n_HhuRM8fVJesU6KWfaselr3o2rqVgl9UT1LaU8qkaNTj6kJw0TLB1WV19yWi9Sb7FYkDk0NMxIVIrE8ICckcw23ElHyYiJ_IENLsM4z-F1oyQ_Y45UR--DwQE2KYYPVxSWc3p6w_2r4vA0yvyHbwEzytHjkYEz67X6-qb-_ffd1-rG8-f_i0vb6pTSNZrlVf_iU5SGs7qToKrrNKsp1olQElOVopKIKyOwfMUeaMbJgRnaECYOeMuKrennLnZXdAa8qkEUY9R3-A-FMH8Prfm8kP-jasWpUKu6YpAS_vA2K4WzBlffDJ4DjChGFJmou-Y20jFStSdpKaGFKK6M7PMKqPqPReF1T6iEqfUBXPi7_nOzv-sCmCNycBlpZWj1EnU_o2hVdEk7UN_j_xvwGbF6ce</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2398164571</pqid></control><display><type>article</type><title>Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><creator>Zhang, Jun ; Yu, Miao ; Tong, Song ; Liu, Lu-Yu ; Tang, Liang-V.</creator><creatorcontrib>Zhang, Jun ; Yu, Miao ; Tong, Song ; Liu, Lu-Yu ; Tang, Liang-V.</creatorcontrib><description>•Male gender and comorbidity were the independent risk factors for death in COVID-19 patients.•Lymphopenia and high CRP were the independent risk factors for poor outcome in COVID-19.•The risk factors would facilitate early identification of high-risk COVID-19 patients.
A few studies have revealed the clinical characteristics of hospitalized patients with COVID-19. However, predictive factors for the outcomes remain unclear.
Attempted to determine the predictive factors for the poor outcomes of patients with COVID-19.
This is a single-center, retrospective study. Clinical, laboratory, and treatment data were collected and analyzed from 111 hospitalized patients with laboratory-confirmed COVID-19 in Union Hospital. The gathered data of discharged and deteriorated patients were compared.
Among these 111 patients, 93 patients were discharged and 18 patients were deteriorated. The lymphocyte count (0.56 G/L [0.47−0.63] vs 1.30 G/L [0.95−1.65]) was lower in the deteriorated group than those in the discharged group. The numbers of pulmonary lobe involved (5.00 [5.00–5.00] vs 4.00 [2.00−5.00]), serum C‐reactive protein (CRP, 79.52 mg/L [61.25−102.98] vs 7.93 mg/L [3.14−22.50]), IL-6 (35.72 pg/mL [9.24−85.19] vs 5.09 pg/mL [3.16−9.72]), and IL-10 (5.35 pg/mL [4.48−7.84] vs 3.97 pg/mL [3.34−4.79]) concentrations in deteriorated patients were elevated compared with discharged patients. Multivariate logistic regression analysis showed that male gender (OR, 24.8 [1.8−342.1]), comorbidity (OR, 52.6 [3.6−776.4]), lymphopenia (OR, 17.3 [1.1−261.8]), and elevated CRP (OR, 96.5 [4.6−2017.6]) were the independent risk factors for the poor prognosis in COVID-19 patients.
This finding would facilitate the early identification of high-risk COVID-19 patients.</description><identifier>ISSN: 1386-6532</identifier><identifier>EISSN: 1873-5967</identifier><identifier>DOI: 10.1016/j.jcv.2020.104392</identifier><identifier>PMID: 32361327</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Betacoronavirus ; C-Reactive Protein - analysis ; Comorbidity ; Coronavirus disease 2019 ; Coronavirus Infections - blood ; Coronavirus Infections - diagnosis ; COVID-19 ; Cytokines - blood ; Disease Progression ; Female ; Hospitalization - statistics & numerical data ; Humans ; Lymphocyte Count ; Male ; Middle Aged ; Multivariate Analysis ; Pandemics ; Pneumonia, Viral - blood ; Pneumonia, Viral - diagnosis ; Predictive factors ; Predictive Value of Tests ; Prognosis ; Retrospective Studies ; Risk Factors ; SARS-CoV-2 ; Sex Factors</subject><ispartof>Journal of clinical virology, 2020-06, Vol.127, p.104392-104392, Article 104392</ispartof><rights>2020 Elsevier B.V.</rights><rights>Copyright © 2020 Elsevier B.V. All rights reserved.</rights><rights>2020 Elsevier B.V. All rights reserved. 2020 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c451t-7920252a5dd85780af8d751b367ca752ed530ea7dbfa1f01fc541c38c03aabfc3</citedby><cites>FETCH-LOGICAL-c451t-7920252a5dd85780af8d751b367ca752ed530ea7dbfa1f01fc541c38c03aabfc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jcv.2020.104392$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32361327$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Jun</creatorcontrib><creatorcontrib>Yu, Miao</creatorcontrib><creatorcontrib>Tong, Song</creatorcontrib><creatorcontrib>Liu, Lu-Yu</creatorcontrib><creatorcontrib>Tang, Liang-V.</creatorcontrib><title>Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China</title><title>Journal of clinical virology</title><addtitle>J Clin Virol</addtitle><description>•Male gender and comorbidity were the independent risk factors for death in COVID-19 patients.•Lymphopenia and high CRP were the independent risk factors for poor outcome in COVID-19.•The risk factors would facilitate early identification of high-risk COVID-19 patients.
A few studies have revealed the clinical characteristics of hospitalized patients with COVID-19. However, predictive factors for the outcomes remain unclear.
Attempted to determine the predictive factors for the poor outcomes of patients with COVID-19.
This is a single-center, retrospective study. Clinical, laboratory, and treatment data were collected and analyzed from 111 hospitalized patients with laboratory-confirmed COVID-19 in Union Hospital. The gathered data of discharged and deteriorated patients were compared.
Among these 111 patients, 93 patients were discharged and 18 patients were deteriorated. The lymphocyte count (0.56 G/L [0.47−0.63] vs 1.30 G/L [0.95−1.65]) was lower in the deteriorated group than those in the discharged group. The numbers of pulmonary lobe involved (5.00 [5.00–5.00] vs 4.00 [2.00−5.00]), serum C‐reactive protein (CRP, 79.52 mg/L [61.25−102.98] vs 7.93 mg/L [3.14−22.50]), IL-6 (35.72 pg/mL [9.24−85.19] vs 5.09 pg/mL [3.16−9.72]), and IL-10 (5.35 pg/mL [4.48−7.84] vs 3.97 pg/mL [3.34−4.79]) concentrations in deteriorated patients were elevated compared with discharged patients. Multivariate logistic regression analysis showed that male gender (OR, 24.8 [1.8−342.1]), comorbidity (OR, 52.6 [3.6−776.4]), lymphopenia (OR, 17.3 [1.1−261.8]), and elevated CRP (OR, 96.5 [4.6−2017.6]) were the independent risk factors for the poor prognosis in COVID-19 patients.
This finding would facilitate the early identification of high-risk COVID-19 patients.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Betacoronavirus</subject><subject>C-Reactive Protein - analysis</subject><subject>Comorbidity</subject><subject>Coronavirus disease 2019</subject><subject>Coronavirus Infections - blood</subject><subject>Coronavirus Infections - diagnosis</subject><subject>COVID-19</subject><subject>Cytokines - blood</subject><subject>Disease Progression</subject><subject>Female</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Humans</subject><subject>Lymphocyte Count</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Pandemics</subject><subject>Pneumonia, Viral - blood</subject><subject>Pneumonia, Viral - diagnosis</subject><subject>Predictive factors</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>SARS-CoV-2</subject><subject>Sex Factors</subject><issn>1386-6532</issn><issn>1873-5967</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUuLFDEUhQtRnHH0B7iRLF1YbR6VShWCMDS-YEAXistwO7mZSlNdqUlSJfrrTdNjoxtXScg5Jzfnq6rnjG4YZe3r_WZv1g2n_HhuRM8fVJesU6KWfaselr3o2rqVgl9UT1LaU8qkaNTj6kJw0TLB1WV19yWi9Sb7FYkDk0NMxIVIrE8ICckcw23ElHyYiJ_IENLsM4z-F1oyQ_Y45UR--DwQE2KYYPVxSWc3p6w_2r4vA0yvyHbwEzytHjkYEz67X6-qb-_ffd1-rG8-f_i0vb6pTSNZrlVf_iU5SGs7qToKrrNKsp1olQElOVopKIKyOwfMUeaMbJgRnaECYOeMuKrennLnZXdAa8qkEUY9R3-A-FMH8Prfm8kP-jasWpUKu6YpAS_vA2K4WzBlffDJ4DjChGFJmou-Y20jFStSdpKaGFKK6M7PMKqPqPReF1T6iEqfUBXPi7_nOzv-sCmCNycBlpZWj1EnU_o2hVdEk7UN_j_xvwGbF6ce</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Zhang, Jun</creator><creator>Yu, Miao</creator><creator>Tong, Song</creator><creator>Liu, Lu-Yu</creator><creator>Tang, Liang-V.</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200601</creationdate><title>Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China</title><author>Zhang, Jun ; Yu, Miao ; Tong, Song ; Liu, Lu-Yu ; Tang, Liang-V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c451t-7920252a5dd85780af8d751b367ca752ed530ea7dbfa1f01fc541c38c03aabfc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Betacoronavirus</topic><topic>C-Reactive Protein - analysis</topic><topic>Comorbidity</topic><topic>Coronavirus disease 2019</topic><topic>Coronavirus Infections - blood</topic><topic>Coronavirus Infections - diagnosis</topic><topic>COVID-19</topic><topic>Cytokines - blood</topic><topic>Disease Progression</topic><topic>Female</topic><topic>Hospitalization - statistics & numerical data</topic><topic>Humans</topic><topic>Lymphocyte Count</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Pandemics</topic><topic>Pneumonia, Viral - blood</topic><topic>Pneumonia, Viral - diagnosis</topic><topic>Predictive factors</topic><topic>Predictive Value of Tests</topic><topic>Prognosis</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>SARS-CoV-2</topic><topic>Sex Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Jun</creatorcontrib><creatorcontrib>Yu, Miao</creatorcontrib><creatorcontrib>Tong, Song</creatorcontrib><creatorcontrib>Liu, Lu-Yu</creatorcontrib><creatorcontrib>Tang, Liang-V.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical virology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Jun</au><au>Yu, Miao</au><au>Tong, Song</au><au>Liu, Lu-Yu</au><au>Tang, Liang-V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China</atitle><jtitle>Journal of clinical virology</jtitle><addtitle>J Clin Virol</addtitle><date>2020-06-01</date><risdate>2020</risdate><volume>127</volume><spage>104392</spage><epage>104392</epage><pages>104392-104392</pages><artnum>104392</artnum><issn>1386-6532</issn><eissn>1873-5967</eissn><abstract>•Male gender and comorbidity were the independent risk factors for death in COVID-19 patients.•Lymphopenia and high CRP were the independent risk factors for poor outcome in COVID-19.•The risk factors would facilitate early identification of high-risk COVID-19 patients.
A few studies have revealed the clinical characteristics of hospitalized patients with COVID-19. However, predictive factors for the outcomes remain unclear.
Attempted to determine the predictive factors for the poor outcomes of patients with COVID-19.
This is a single-center, retrospective study. Clinical, laboratory, and treatment data were collected and analyzed from 111 hospitalized patients with laboratory-confirmed COVID-19 in Union Hospital. The gathered data of discharged and deteriorated patients were compared.
Among these 111 patients, 93 patients were discharged and 18 patients were deteriorated. The lymphocyte count (0.56 G/L [0.47−0.63] vs 1.30 G/L [0.95−1.65]) was lower in the deteriorated group than those in the discharged group. The numbers of pulmonary lobe involved (5.00 [5.00–5.00] vs 4.00 [2.00−5.00]), serum C‐reactive protein (CRP, 79.52 mg/L [61.25−102.98] vs 7.93 mg/L [3.14−22.50]), IL-6 (35.72 pg/mL [9.24−85.19] vs 5.09 pg/mL [3.16−9.72]), and IL-10 (5.35 pg/mL [4.48−7.84] vs 3.97 pg/mL [3.34−4.79]) concentrations in deteriorated patients were elevated compared with discharged patients. Multivariate logistic regression analysis showed that male gender (OR, 24.8 [1.8−342.1]), comorbidity (OR, 52.6 [3.6−776.4]), lymphopenia (OR, 17.3 [1.1−261.8]), and elevated CRP (OR, 96.5 [4.6−2017.6]) were the independent risk factors for the poor prognosis in COVID-19 patients.
This finding would facilitate the early identification of high-risk COVID-19 patients.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>32361327</pmid><doi>10.1016/j.jcv.2020.104392</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1386-6532 |
| ispartof | Journal of clinical virology, 2020-06, Vol.127, p.104392-104392, Article 104392 |
| issn | 1386-6532 1873-5967 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7187844 |
| source | MEDLINE; Access via ScienceDirect (Elsevier) |
| subjects | Adult Aged Aged, 80 and over Betacoronavirus C-Reactive Protein - analysis Comorbidity Coronavirus disease 2019 Coronavirus Infections - blood Coronavirus Infections - diagnosis COVID-19 Cytokines - blood Disease Progression Female Hospitalization - statistics & numerical data Humans Lymphocyte Count Male Middle Aged Multivariate Analysis Pandemics Pneumonia, Viral - blood Pneumonia, Viral - diagnosis Predictive factors Predictive Value of Tests Prognosis Retrospective Studies Risk Factors SARS-CoV-2 Sex Factors |
| title | Predictive factors for disease progression in hospitalized patients with coronavirus disease 2019 in Wuhan, China |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T11%3A13%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Predictive%20factors%20for%20disease%20progression%20in%20hospitalized%20patients%20with%20coronavirus%20disease%202019%20in%20Wuhan,%20China&rft.jtitle=Journal%20of%20clinical%20virology&rft.au=Zhang,%20Jun&rft.date=2020-06-01&rft.volume=127&rft.spage=104392&rft.epage=104392&rft.pages=104392-104392&rft.artnum=104392&rft.issn=1386-6532&rft.eissn=1873-5967&rft_id=info:doi/10.1016/j.jcv.2020.104392&rft_dat=%3Cproquest_pubme%3E2398164571%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2398164571&rft_id=info:pmid/32361327&rft_els_id=S1386653220301347&rfr_iscdi=true |