Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19
The effects, severity, and prognosis of COVID-19 infections do not follow a linear pattern in different locations, but change according to the epidemiological data and social issues in each region. The purpose of the current study is to provide the clinical and epidemiological standard of the popula...
Gespeichert in:
| Veröffentlicht in: | PloS one 2021-08, Vol.16 (8), p.e0256331 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 8 |
| container_start_page | e0256331 |
| container_title | PloS one |
| container_volume | 16 |
| creator | Costa, Víctor de Oliveira Nicolini, Eveline Montessi da Costa, Bruna Malaquias Arguelles Ferreira, Victor Hugo Perches Tonisi, Ana Julia Rodrigues Machado, Nathália Munck Moura, Marcos de Assis Montessi, Jorge de Castro Ferreira, Lincoln Eduardo Villela Vieira Campos, Rogério Leal Costa, Patricia Moreira Campos, Maria Antônia |
| description | The effects, severity, and prognosis of COVID-19 infections do not follow a linear pattern in different locations, but change according to the epidemiological data and social issues in each region.
The purpose of the current study is to provide the clinical and epidemiological standard of the population affected by COVID-19 in the city of Juiz de Fora, MG to better understand the disease and its risk factors, in order to enable more appropriate conduct for patients.
A retrospective observational study was carried out from March to August of 2020, with 266 participants admitted to the emergency department of the Instituto de Clínicas e Cirurgia de Juiz de Fora-Hospital Monte Sinai. Data were tabulated, analyzed, and classified according to the outcome using an ordinal regression model.
Among the 266 admitted patients, the most common findings were ground-glass opacifications on chest CT (78.8%), cough (75.6%), fever (58.4%), and rhinorrhea (34.5%). There were greater severity and greater need for hospitalization and admission to the ICU in patients who were male, tachypneic at the time of admission, with older age, and with underlying diseases.
Collected data allowed for a better understanding of the disease, its severity criteria, and its pattern of affection in Juiz de Fora, MG. More studies based on the analysis of the behavior of COVID-19 in different regions must be carried out, to improve treatment and support to local populations. |
| doi_str_mv | 10.1371/journal.pone.0256331 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2562821267</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A672600992</galeid><doaj_id>oai_doaj_org_article_deee140ebafe4b8db7d335dad9aedae3</doaj_id><sourcerecordid>A672600992</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-cd548c4ae40f3dfe9644121a10e26d3cc20da5387f7dbd9553bed898869bf64f3</originalsourceid><addsrcrecordid>eNqNk11v0zAUhiMEYmPwDxBYQkIgrSW283mDNI2vSpMqMditdWKfpC5pnNnOoP8ed82mBu0C5SKR_bzv-cg5UfSSxnPKc_phbQbbQTvvTYfzmKUZ5_RRdExLzmYZi_njg--j6Jlz6zhOeZFlT6MjniSU0iQ9juDSSG0UbkxjoV9peUpaqIwFb-z2lOgNNEgUeCDQKdJbVFqGK0dMTYLiRvstsdr9IrojPXiNnXfkt_Yrcr68Wnya0fJ59KSG1uGL8X0S_fzy-cf5t9nF8uvi_OxiJrOS-ZlUaVLIBDCJa65qLLOQI6NAY2SZ4lKyWEHIP69zVakyTXmFqiiLIiurOktqfhK93vv2rXFi7I4ToTGsYJRleSAWe0IZWIvehuLsVhjQ4vbA2EaA9Vq2KBQi0iTGCmpMqkJVueI8VaBKQAXIg9fHMdpQbVDJULeFdmI6ven0SjTmRhQ8T8ucBYN3o4E11wM6LzbaSWxb6NAMt3nzhHHOd3m_-Qd9uLqRaiAUoLvahLhyZyrOspxlcVyWu7DzB6jwhBHQMoxSrcP5RPB-IgiMxz--gcE5sbj8_v_s8mrKvj1gVwitXznTDl6bzk3BZA9Ka5yzWN83mcZitwl33RC7TRDjJgTZq8MfdC-6G33-F3zkBFk</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2562821267</pqid></control><display><type>article</type><title>Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19</title><source>Public Library of Science (PLoS) Journals Open Access</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Costa, Víctor de Oliveira ; Nicolini, Eveline Montessi ; da Costa, Bruna Malaquias Arguelles ; Ferreira, Victor Hugo Perches ; Tonisi, Ana Julia Rodrigues ; Machado, Nathália Munck ; Moura, Marcos de Assis ; Montessi, Jorge ; de Castro Ferreira, Lincoln Eduardo Villela Vieira ; Campos, Rogério Leal ; Costa, Patricia Moreira ; Campos, Maria Antônia</creator><creatorcontrib>Costa, Víctor de Oliveira ; Nicolini, Eveline Montessi ; da Costa, Bruna Malaquias Arguelles ; Ferreira, Victor Hugo Perches ; Tonisi, Ana Julia Rodrigues ; Machado, Nathália Munck ; Moura, Marcos de Assis ; Montessi, Jorge ; de Castro Ferreira, Lincoln Eduardo Villela Vieira ; Campos, Rogério Leal ; Costa, Patricia Moreira ; Campos, Maria Antônia</creatorcontrib><description>The effects, severity, and prognosis of COVID-19 infections do not follow a linear pattern in different locations, but change according to the epidemiological data and social issues in each region.
The purpose of the current study is to provide the clinical and epidemiological standard of the population affected by COVID-19 in the city of Juiz de Fora, MG to better understand the disease and its risk factors, in order to enable more appropriate conduct for patients.
A retrospective observational study was carried out from March to August of 2020, with 266 participants admitted to the emergency department of the Instituto de Clínicas e Cirurgia de Juiz de Fora-Hospital Monte Sinai. Data were tabulated, analyzed, and classified according to the outcome using an ordinal regression model.
Among the 266 admitted patients, the most common findings were ground-glass opacifications on chest CT (78.8%), cough (75.6%), fever (58.4%), and rhinorrhea (34.5%). There were greater severity and greater need for hospitalization and admission to the ICU in patients who were male, tachypneic at the time of admission, with older age, and with underlying diseases.
Collected data allowed for a better understanding of the disease, its severity criteria, and its pattern of affection in Juiz de Fora, MG. More studies based on the analysis of the behavior of COVID-19 in different regions must be carried out, to improve treatment and support to local populations.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0256331</identifier><identifier>PMID: 34411145</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Age Factors ; Aged ; Biology and Life Sciences ; Brazil ; Brazil - epidemiology ; Child ; Child, Preschool ; Coronaviruses ; Cough ; COVID-19 ; COVID-19 - diagnostic imaging ; COVID-19 - epidemiology ; COVID-19 Drug Treatment ; Data analysis ; Data collection ; Demographic aspects ; Electronic health records ; Emergency medical care ; Emergency medical services ; Emergency Service, Hospital ; Epidemics ; Epidemiology ; Female ; Fever ; Generalized linear models ; Health risks ; Hospitalization ; Hospitals ; Humans ; Hypertension ; Infant ; Infant, Newborn ; Intensive care ; Laboratories ; Local population ; Male ; Medical records ; Medical research ; Medicine and Health Sciences ; Middle Aged ; Nose ; Observational studies ; Patients ; Regression models ; Retrospective Studies ; Risk analysis ; Risk factors ; SARS-CoV-2 ; Severe acute respiratory syndrome coronavirus 2 ; Severity of Illness Index ; Sex Factors ; Software ; Statistics ; Supervision ; Tomography, X-Ray Computed ; Vital signs</subject><ispartof>PloS one, 2021-08, Vol.16 (8), p.e0256331</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Costa et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Costa et al 2021 Costa et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-cd548c4ae40f3dfe9644121a10e26d3cc20da5387f7dbd9553bed898869bf64f3</citedby><cites>FETCH-LOGICAL-c692t-cd548c4ae40f3dfe9644121a10e26d3cc20da5387f7dbd9553bed898869bf64f3</cites><orcidid>0000-0001-5221-5300 ; 0000-0002-1463-064X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8375972/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8375972/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34411145$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Costa, Víctor de Oliveira</creatorcontrib><creatorcontrib>Nicolini, Eveline Montessi</creatorcontrib><creatorcontrib>da Costa, Bruna Malaquias Arguelles</creatorcontrib><creatorcontrib>Ferreira, Victor Hugo Perches</creatorcontrib><creatorcontrib>Tonisi, Ana Julia Rodrigues</creatorcontrib><creatorcontrib>Machado, Nathália Munck</creatorcontrib><creatorcontrib>Moura, Marcos de Assis</creatorcontrib><creatorcontrib>Montessi, Jorge</creatorcontrib><creatorcontrib>de Castro Ferreira, Lincoln Eduardo Villela Vieira</creatorcontrib><creatorcontrib>Campos, Rogério Leal</creatorcontrib><creatorcontrib>Costa, Patricia Moreira</creatorcontrib><creatorcontrib>Campos, Maria Antônia</creatorcontrib><title>Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The effects, severity, and prognosis of COVID-19 infections do not follow a linear pattern in different locations, but change according to the epidemiological data and social issues in each region.
The purpose of the current study is to provide the clinical and epidemiological standard of the population affected by COVID-19 in the city of Juiz de Fora, MG to better understand the disease and its risk factors, in order to enable more appropriate conduct for patients.
A retrospective observational study was carried out from March to August of 2020, with 266 participants admitted to the emergency department of the Instituto de Clínicas e Cirurgia de Juiz de Fora-Hospital Monte Sinai. Data were tabulated, analyzed, and classified according to the outcome using an ordinal regression model.
Among the 266 admitted patients, the most common findings were ground-glass opacifications on chest CT (78.8%), cough (75.6%), fever (58.4%), and rhinorrhea (34.5%). There were greater severity and greater need for hospitalization and admission to the ICU in patients who were male, tachypneic at the time of admission, with older age, and with underlying diseases.
Collected data allowed for a better understanding of the disease, its severity criteria, and its pattern of affection in Juiz de Fora, MG. More studies based on the analysis of the behavior of COVID-19 in different regions must be carried out, to improve treatment and support to local populations.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Biology and Life Sciences</subject><subject>Brazil</subject><subject>Brazil - epidemiology</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Coronaviruses</subject><subject>Cough</subject><subject>COVID-19</subject><subject>COVID-19 - diagnostic imaging</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 Drug Treatment</subject><subject>Data analysis</subject><subject>Data collection</subject><subject>Demographic aspects</subject><subject>Electronic health records</subject><subject>Emergency medical care</subject><subject>Emergency medical services</subject><subject>Emergency Service, Hospital</subject><subject>Epidemics</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Fever</subject><subject>Generalized linear models</subject><subject>Health risks</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Intensive care</subject><subject>Laboratories</subject><subject>Local population</subject><subject>Male</subject><subject>Medical records</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Nose</subject><subject>Observational studies</subject><subject>Patients</subject><subject>Regression models</subject><subject>Retrospective Studies</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>SARS-CoV-2</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Severity of Illness Index</subject><subject>Sex Factors</subject><subject>Software</subject><subject>Statistics</subject><subject>Supervision</subject><subject>Tomography, X-Ray Computed</subject><subject>Vital signs</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAUhiMEYmPwDxBYQkIgrSW283mDNI2vSpMqMditdWKfpC5pnNnOoP8ed82mBu0C5SKR_bzv-cg5UfSSxnPKc_phbQbbQTvvTYfzmKUZ5_RRdExLzmYZi_njg--j6Jlz6zhOeZFlT6MjniSU0iQ9juDSSG0UbkxjoV9peUpaqIwFb-z2lOgNNEgUeCDQKdJbVFqGK0dMTYLiRvstsdr9IrojPXiNnXfkt_Yrcr68Wnya0fJ59KSG1uGL8X0S_fzy-cf5t9nF8uvi_OxiJrOS-ZlUaVLIBDCJa65qLLOQI6NAY2SZ4lKyWEHIP69zVakyTXmFqiiLIiurOktqfhK93vv2rXFi7I4ToTGsYJRleSAWe0IZWIvehuLsVhjQ4vbA2EaA9Vq2KBQi0iTGCmpMqkJVueI8VaBKQAXIg9fHMdpQbVDJULeFdmI6ven0SjTmRhQ8T8ucBYN3o4E11wM6LzbaSWxb6NAMt3nzhHHOd3m_-Qd9uLqRaiAUoLvahLhyZyrOspxlcVyWu7DzB6jwhBHQMoxSrcP5RPB-IgiMxz--gcE5sbj8_v_s8mrKvj1gVwitXznTDl6bzk3BZA9Ka5yzWN83mcZitwl33RC7TRDjJgTZq8MfdC-6G33-F3zkBFk</recordid><startdate>20210819</startdate><enddate>20210819</enddate><creator>Costa, Víctor de Oliveira</creator><creator>Nicolini, Eveline Montessi</creator><creator>da Costa, Bruna Malaquias Arguelles</creator><creator>Ferreira, Victor Hugo Perches</creator><creator>Tonisi, Ana Julia Rodrigues</creator><creator>Machado, Nathália Munck</creator><creator>Moura, Marcos de Assis</creator><creator>Montessi, Jorge</creator><creator>de Castro Ferreira, Lincoln Eduardo Villela Vieira</creator><creator>Campos, Rogério Leal</creator><creator>Costa, Patricia Moreira</creator><creator>Campos, Maria Antônia</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5221-5300</orcidid><orcidid>https://orcid.org/0000-0002-1463-064X</orcidid></search><sort><creationdate>20210819</creationdate><title>Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19</title><author>Costa, Víctor de Oliveira ; Nicolini, Eveline Montessi ; da Costa, Bruna Malaquias Arguelles ; Ferreira, Victor Hugo Perches ; Tonisi, Ana Julia Rodrigues ; Machado, Nathália Munck ; Moura, Marcos de Assis ; Montessi, Jorge ; de Castro Ferreira, Lincoln Eduardo Villela Vieira ; Campos, Rogério Leal ; Costa, Patricia Moreira ; Campos, Maria Antônia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-cd548c4ae40f3dfe9644121a10e26d3cc20da5387f7dbd9553bed898869bf64f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Biology and Life Sciences</topic><topic>Brazil</topic><topic>Brazil - epidemiology</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Coronaviruses</topic><topic>Cough</topic><topic>COVID-19</topic><topic>COVID-19 - diagnostic imaging</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 Drug Treatment</topic><topic>Data analysis</topic><topic>Data collection</topic><topic>Demographic aspects</topic><topic>Electronic health records</topic><topic>Emergency medical care</topic><topic>Emergency medical services</topic><topic>Emergency Service, Hospital</topic><topic>Epidemics</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Fever</topic><topic>Generalized linear models</topic><topic>Health risks</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Intensive care</topic><topic>Laboratories</topic><topic>Local population</topic><topic>Male</topic><topic>Medical records</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Nose</topic><topic>Observational studies</topic><topic>Patients</topic><topic>Regression models</topic><topic>Retrospective Studies</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>SARS-CoV-2</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Severity of Illness Index</topic><topic>Sex Factors</topic><topic>Software</topic><topic>Statistics</topic><topic>Supervision</topic><topic>Tomography, X-Ray Computed</topic><topic>Vital signs</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Costa, Víctor de Oliveira</creatorcontrib><creatorcontrib>Nicolini, Eveline Montessi</creatorcontrib><creatorcontrib>da Costa, Bruna Malaquias Arguelles</creatorcontrib><creatorcontrib>Ferreira, Victor Hugo Perches</creatorcontrib><creatorcontrib>Tonisi, Ana Julia Rodrigues</creatorcontrib><creatorcontrib>Machado, Nathália Munck</creatorcontrib><creatorcontrib>Moura, Marcos de Assis</creatorcontrib><creatorcontrib>Montessi, Jorge</creatorcontrib><creatorcontrib>de Castro Ferreira, Lincoln Eduardo Villela Vieira</creatorcontrib><creatorcontrib>Campos, Rogério Leal</creatorcontrib><creatorcontrib>Costa, Patricia Moreira</creatorcontrib><creatorcontrib>Campos, Maria Antônia</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Costa, Víctor de Oliveira</au><au>Nicolini, Eveline Montessi</au><au>da Costa, Bruna Malaquias Arguelles</au><au>Ferreira, Victor Hugo Perches</au><au>Tonisi, Ana Julia Rodrigues</au><au>Machado, Nathália Munck</au><au>Moura, Marcos de Assis</au><au>Montessi, Jorge</au><au>de Castro Ferreira, Lincoln Eduardo Villela Vieira</au><au>Campos, Rogério Leal</au><au>Costa, Patricia Moreira</au><au>Campos, Maria Antônia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-08-19</date><risdate>2021</risdate><volume>16</volume><issue>8</issue><spage>e0256331</spage><pages>e0256331-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The effects, severity, and prognosis of COVID-19 infections do not follow a linear pattern in different locations, but change according to the epidemiological data and social issues in each region.
The purpose of the current study is to provide the clinical and epidemiological standard of the population affected by COVID-19 in the city of Juiz de Fora, MG to better understand the disease and its risk factors, in order to enable more appropriate conduct for patients.
A retrospective observational study was carried out from March to August of 2020, with 266 participants admitted to the emergency department of the Instituto de Clínicas e Cirurgia de Juiz de Fora-Hospital Monte Sinai. Data were tabulated, analyzed, and classified according to the outcome using an ordinal regression model.
Among the 266 admitted patients, the most common findings were ground-glass opacifications on chest CT (78.8%), cough (75.6%), fever (58.4%), and rhinorrhea (34.5%). There were greater severity and greater need for hospitalization and admission to the ICU in patients who were male, tachypneic at the time of admission, with older age, and with underlying diseases.
Collected data allowed for a better understanding of the disease, its severity criteria, and its pattern of affection in Juiz de Fora, MG. More studies based on the analysis of the behavior of COVID-19 in different regions must be carried out, to improve treatment and support to local populations.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34411145</pmid><doi>10.1371/journal.pone.0256331</doi><tpages>e0256331</tpages><orcidid>https://orcid.org/0000-0001-5221-5300</orcidid><orcidid>https://orcid.org/0000-0002-1463-064X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2021-08, Vol.16 (8), p.e0256331 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2562821267 |
| source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adolescent Adult Age Factors Aged Biology and Life Sciences Brazil Brazil - epidemiology Child Child, Preschool Coronaviruses Cough COVID-19 COVID-19 - diagnostic imaging COVID-19 - epidemiology COVID-19 Drug Treatment Data analysis Data collection Demographic aspects Electronic health records Emergency medical care Emergency medical services Emergency Service, Hospital Epidemics Epidemiology Female Fever Generalized linear models Health risks Hospitalization Hospitals Humans Hypertension Infant Infant, Newborn Intensive care Laboratories Local population Male Medical records Medical research Medicine and Health Sciences Middle Aged Nose Observational studies Patients Regression models Retrospective Studies Risk analysis Risk factors SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 Severity of Illness Index Sex Factors Software Statistics Supervision Tomography, X-Ray Computed Vital signs |
| title | Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19 |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-14T07%3A21%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sociodemographic,%20laboratory,%20image%20data%20and%20predictors%20of%20gravity%20risk%20in%20patients%20with%20COVID-19&rft.jtitle=PloS%20one&rft.au=Costa,%20V%C3%ADctor%20de%20Oliveira&rft.date=2021-08-19&rft.volume=16&rft.issue=8&rft.spage=e0256331&rft.pages=e0256331-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0256331&rft_dat=%3Cgale_plos_%3EA672600992%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2562821267&rft_id=info:pmid/34411145&rft_galeid=A672600992&rft_doaj_id=oai_doaj_org_article_deee140ebafe4b8db7d335dad9aedae3&rfr_iscdi=true |