Clinical-laboratory characteristics predictive of COVID-19 severity: a prospective hospital cohort, in Pernambuco, Northeast Brazil
Objective To describe the clinical-laboratory profile and analyze the factors associated with the severity of COVID-19. Methods A prospective cohort study involving patients with COVID-19 admitted to a tertiary hospital in Recife, Brazil. All cases were confirmed by RT-PCR and classified according t...
Gespeichert in:
| Veröffentlicht in: | Brazilian journal of microbiology 2024-09, Vol.55 (3), p.2643-2654 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 2654 |
|---|---|
| container_issue | 3 |
| container_start_page | 2643 |
| container_title | Brazilian journal of microbiology |
| container_volume | 55 |
| creator | Brito, Carlos de Araujo Mariz, Carolline Freitas de Oliveira França, Rafael Lopes, Edmundo Pessoa Silva, Laura Emanuelle Neto, Roberto Lins Viana, Isabelle Freire Montarroyos, Ulisses Duarte, Claudio Lacerda, Heloisa Ramos de Brito Ximenes, Pamella de Oliveira Viana, Rafael Cabral Lima, Rayssa Gatis Dámorim Carneiro, Ananda Paiva Santos Braga, Cynthia |
| description | Objective
To describe the clinical-laboratory profile and analyze the factors associated with the severity of COVID-19.
Methods
A prospective cohort study involving patients with COVID-19 admitted to a tertiary hospital in Recife, Brazil. All cases were confirmed by RT-PCR and classified according to severity criteria. A descriptive statistical analysis of the population’s characteristics was conducted. Risk factors associated with the outcome of the case according to severity were analyzed by calculating the odds ratio (OR) using the general equation estimation (GEE) model.
Results
Among the 75 cases included, 64% were female, and 62.7% were aged 65 years or older. The median length of stay was 9 days (6 – 14). Hypertension (65.3%) and Diabetes Mellitus (36%) were the most frequent comorbidities. Severe forms of COVID-19 constituted 41.3% of the sample. The factors associated with severity were a history of asthma (OR=4.58, 95%CI:1.13 – 18.7), report of anorexia (OR=1, 12, 95%CI:1.01–1.24), and laboratory changes that included elevated platelets (OR=1.00, 95% CI:1.00–1.01), elevated D'Dimer (OR=1, 26, 95% CI:1.04–1.52), elevated aspartate aminotransferase (OR=1.00, 95% CI:1.00–1.01), and gamma-glutamyl transferase (OR=1.22, IC95 %:0.98–1.51), hypernatremia (OR=1.31, 95%CI:1.12–1.52), and hyperkalemia (OR=1.21, 95% CI:1.04–1.41).
Conclusion
Multisystemic involvement with a tendency for thrombophilia, electrolyte disturbances, and hepatic aggression, reflected by laboratory changes, were factors associated with the severity of COVID-19. |
| doi_str_mv | 10.1007/s42770-024-01382-2 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3075376692</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3105934954</sourcerecordid><originalsourceid>FETCH-LOGICAL-c326t-e761c715f547f05032db69661db9c0078614391d9f3eaff6ecf8af9a75ae98563</originalsourceid><addsrcrecordid>eNp9kU1vFSEUhonR2Fr9Ay4MiRsXRflmcKfXryaNdaFuCcOAl4Y73ALT5Lr1j0udqokLV5xwHl44PAA8Jvg5wVi9qJwqhRGmHGHCBoroHXBMpBoQ51jc7bUgCg29cwQe1HqJMRWY0_vgiA1aCD2QY_Bjk-IcnU0o2TEX23I5QLe1xbrmS6wtugr3xU_RtXjtYQ5wc_H17A0iGlZ_3ZF2eAltR3Ld-5XZ9jI2m6DL21zaKYwz_OTLbHfj4vIp_Ng3t97WBl8X-z2mh-BesKn6R7frCfjy7u3nzQd0fvH-bPPqHDlGZUNeSeIUEUFwFbDAjE6j1FKSadSu_8cgCWeaTDowb0OQ3oXBBm2VsF4PQrIT8GzN7Y-9WnxtZher8ynZ2eelGoaVYEpKTTv69B_0Mi99gtQpgoVmXAveKbpSrk9fiw9mX-LOloMh2NwoMqsi0xWZX4rMTfST2-hl3Pnpz5HfTjrAVqD21vzNl793_yf2J4urnPk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3105934954</pqid></control><display><type>article</type><title>Clinical-laboratory characteristics predictive of COVID-19 severity: a prospective hospital cohort, in Pernambuco, Northeast Brazil</title><source>MEDLINE</source><source>SpringerLink Journals</source><source>PubMed Central</source><creator>Brito, Carlos ; de Araujo Mariz, Carolline ; Freitas de Oliveira França, Rafael ; Lopes, Edmundo Pessoa ; Silva, Laura Emanuelle ; Neto, Roberto Lins ; Viana, Isabelle Freire ; Montarroyos, Ulisses ; Duarte, Claudio ; Lacerda, Heloisa Ramos ; de Brito Ximenes, Pamella ; de Oliveira Viana, Rafael Cabral ; Lima, Rayssa Gatis Dámorim ; Carneiro, Ananda Paiva Santos ; Braga, Cynthia</creator><creatorcontrib>Brito, Carlos ; de Araujo Mariz, Carolline ; Freitas de Oliveira França, Rafael ; Lopes, Edmundo Pessoa ; Silva, Laura Emanuelle ; Neto, Roberto Lins ; Viana, Isabelle Freire ; Montarroyos, Ulisses ; Duarte, Claudio ; Lacerda, Heloisa Ramos ; de Brito Ximenes, Pamella ; de Oliveira Viana, Rafael Cabral ; Lima, Rayssa Gatis Dámorim ; Carneiro, Ananda Paiva Santos ; Braga, Cynthia</creatorcontrib><description>Objective
To describe the clinical-laboratory profile and analyze the factors associated with the severity of COVID-19.
Methods
A prospective cohort study involving patients with COVID-19 admitted to a tertiary hospital in Recife, Brazil. All cases were confirmed by RT-PCR and classified according to severity criteria. A descriptive statistical analysis of the population’s characteristics was conducted. Risk factors associated with the outcome of the case according to severity were analyzed by calculating the odds ratio (OR) using the general equation estimation (GEE) model.
Results
Among the 75 cases included, 64% were female, and 62.7% were aged 65 years or older. The median length of stay was 9 days (6 – 14). Hypertension (65.3%) and Diabetes Mellitus (36%) were the most frequent comorbidities. Severe forms of COVID-19 constituted 41.3% of the sample. The factors associated with severity were a history of asthma (OR=4.58, 95%CI:1.13 – 18.7), report of anorexia (OR=1, 12, 95%CI:1.01–1.24), and laboratory changes that included elevated platelets (OR=1.00, 95% CI:1.00–1.01), elevated D'Dimer (OR=1, 26, 95% CI:1.04–1.52), elevated aspartate aminotransferase (OR=1.00, 95% CI:1.00–1.01), and gamma-glutamyl transferase (OR=1.22, IC95 %:0.98–1.51), hypernatremia (OR=1.31, 95%CI:1.12–1.52), and hyperkalemia (OR=1.21, 95% CI:1.04–1.41).
Conclusion
Multisystemic involvement with a tendency for thrombophilia, electrolyte disturbances, and hepatic aggression, reflected by laboratory changes, were factors associated with the severity of COVID-19.</description><identifier>ISSN: 1517-8382</identifier><identifier>ISSN: 1678-4405</identifier><identifier>EISSN: 1678-4405</identifier><identifier>DOI: 10.1007/s42770-024-01382-2</identifier><identifier>PMID: 38955981</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Anorexia ; Aspartate aminotransferase ; Biomedical and Life Sciences ; Brazil - epidemiology ; Comorbidity ; COVID-19 ; COVID-19 - diagnosis ; COVID-19 - epidemiology ; Diabetes mellitus ; Eating disorders ; Female ; Food Microbiology ; Hospitals ; Humans ; Hyperkalemia ; Hypernatremia ; Hypertension ; Laboratories ; Life Sciences ; Male ; Medical Microbiology ; Medicine and Public Health - Research Paper ; Microbial Ecology ; Microbial Genetics and Genomics ; Microbiology ; Middle Aged ; Mycology ; Prospective Studies ; Risk Factors ; SARS-CoV-2 - genetics ; SARS-CoV-2 - isolation & purification ; Severity of Illness Index ; Statistical analysis ; Tertiary Care Centers - statistics & numerical data ; Thrombophilia ; γ-Glutamyltransferase</subject><ispartof>Brazilian journal of microbiology, 2024-09, Vol.55 (3), p.2643-2654</ispartof><rights>The Author(s) under exclusive licence to Sociedade Brasileira de Microbiologia 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s) under exclusive licence to Sociedade Brasileira de Microbiologia.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-e761c715f547f05032db69661db9c0078614391d9f3eaff6ecf8af9a75ae98563</cites><orcidid>0000-0002-5963-8178</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s42770-024-01382-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s42770-024-01382-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38955981$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Brito, Carlos</creatorcontrib><creatorcontrib>de Araujo Mariz, Carolline</creatorcontrib><creatorcontrib>Freitas de Oliveira França, Rafael</creatorcontrib><creatorcontrib>Lopes, Edmundo Pessoa</creatorcontrib><creatorcontrib>Silva, Laura Emanuelle</creatorcontrib><creatorcontrib>Neto, Roberto Lins</creatorcontrib><creatorcontrib>Viana, Isabelle Freire</creatorcontrib><creatorcontrib>Montarroyos, Ulisses</creatorcontrib><creatorcontrib>Duarte, Claudio</creatorcontrib><creatorcontrib>Lacerda, Heloisa Ramos</creatorcontrib><creatorcontrib>de Brito Ximenes, Pamella</creatorcontrib><creatorcontrib>de Oliveira Viana, Rafael Cabral</creatorcontrib><creatorcontrib>Lima, Rayssa Gatis Dámorim</creatorcontrib><creatorcontrib>Carneiro, Ananda Paiva Santos</creatorcontrib><creatorcontrib>Braga, Cynthia</creatorcontrib><title>Clinical-laboratory characteristics predictive of COVID-19 severity: a prospective hospital cohort, in Pernambuco, Northeast Brazil</title><title>Brazilian journal of microbiology</title><addtitle>Braz J Microbiol</addtitle><addtitle>Braz J Microbiol</addtitle><description>Objective
To describe the clinical-laboratory profile and analyze the factors associated with the severity of COVID-19.
Methods
A prospective cohort study involving patients with COVID-19 admitted to a tertiary hospital in Recife, Brazil. All cases were confirmed by RT-PCR and classified according to severity criteria. A descriptive statistical analysis of the population’s characteristics was conducted. Risk factors associated with the outcome of the case according to severity were analyzed by calculating the odds ratio (OR) using the general equation estimation (GEE) model.
Results
Among the 75 cases included, 64% were female, and 62.7% were aged 65 years or older. The median length of stay was 9 days (6 – 14). Hypertension (65.3%) and Diabetes Mellitus (36%) were the most frequent comorbidities. Severe forms of COVID-19 constituted 41.3% of the sample. The factors associated with severity were a history of asthma (OR=4.58, 95%CI:1.13 – 18.7), report of anorexia (OR=1, 12, 95%CI:1.01–1.24), and laboratory changes that included elevated platelets (OR=1.00, 95% CI:1.00–1.01), elevated D'Dimer (OR=1, 26, 95% CI:1.04–1.52), elevated aspartate aminotransferase (OR=1.00, 95% CI:1.00–1.01), and gamma-glutamyl transferase (OR=1.22, IC95 %:0.98–1.51), hypernatremia (OR=1.31, 95%CI:1.12–1.52), and hyperkalemia (OR=1.21, 95% CI:1.04–1.41).
Conclusion
Multisystemic involvement with a tendency for thrombophilia, electrolyte disturbances, and hepatic aggression, reflected by laboratory changes, were factors associated with the severity of COVID-19.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Anorexia</subject><subject>Aspartate aminotransferase</subject><subject>Biomedical and Life Sciences</subject><subject>Brazil - epidemiology</subject><subject>Comorbidity</subject><subject>COVID-19</subject><subject>COVID-19 - diagnosis</subject><subject>COVID-19 - epidemiology</subject><subject>Diabetes mellitus</subject><subject>Eating disorders</subject><subject>Female</subject><subject>Food Microbiology</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hyperkalemia</subject><subject>Hypernatremia</subject><subject>Hypertension</subject><subject>Laboratories</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Medical Microbiology</subject><subject>Medicine and Public Health - Research Paper</subject><subject>Microbial Ecology</subject><subject>Microbial Genetics and Genomics</subject><subject>Microbiology</subject><subject>Middle Aged</subject><subject>Mycology</subject><subject>Prospective Studies</subject><subject>Risk Factors</subject><subject>SARS-CoV-2 - genetics</subject><subject>SARS-CoV-2 - isolation & purification</subject><subject>Severity of Illness Index</subject><subject>Statistical analysis</subject><subject>Tertiary Care Centers - statistics & numerical data</subject><subject>Thrombophilia</subject><subject>γ-Glutamyltransferase</subject><issn>1517-8382</issn><issn>1678-4405</issn><issn>1678-4405</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU1vFSEUhonR2Fr9Ay4MiRsXRflmcKfXryaNdaFuCcOAl4Y73ALT5Lr1j0udqokLV5xwHl44PAA8Jvg5wVi9qJwqhRGmHGHCBoroHXBMpBoQ51jc7bUgCg29cwQe1HqJMRWY0_vgiA1aCD2QY_Bjk-IcnU0o2TEX23I5QLe1xbrmS6wtugr3xU_RtXjtYQ5wc_H17A0iGlZ_3ZF2eAltR3Ld-5XZ9jI2m6DL21zaKYwz_OTLbHfj4vIp_Ng3t97WBl8X-z2mh-BesKn6R7frCfjy7u3nzQd0fvH-bPPqHDlGZUNeSeIUEUFwFbDAjE6j1FKSadSu_8cgCWeaTDowb0OQ3oXBBm2VsF4PQrIT8GzN7Y-9WnxtZher8ynZ2eelGoaVYEpKTTv69B_0Mi99gtQpgoVmXAveKbpSrk9fiw9mX-LOloMh2NwoMqsi0xWZX4rMTfST2-hl3Pnpz5HfTjrAVqD21vzNl793_yf2J4urnPk</recordid><startdate>20240901</startdate><enddate>20240901</enddate><creator>Brito, Carlos</creator><creator>de Araujo Mariz, Carolline</creator><creator>Freitas de Oliveira França, Rafael</creator><creator>Lopes, Edmundo Pessoa</creator><creator>Silva, Laura Emanuelle</creator><creator>Neto, Roberto Lins</creator><creator>Viana, Isabelle Freire</creator><creator>Montarroyos, Ulisses</creator><creator>Duarte, Claudio</creator><creator>Lacerda, Heloisa Ramos</creator><creator>de Brito Ximenes, Pamella</creator><creator>de Oliveira Viana, Rafael Cabral</creator><creator>Lima, Rayssa Gatis Dámorim</creator><creator>Carneiro, Ananda Paiva Santos</creator><creator>Braga, Cynthia</creator><general>Springer International Publishing</general><general>Springer Nature 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>7QL</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5963-8178</orcidid></search><sort><creationdate>20240901</creationdate><title>Clinical-laboratory characteristics predictive of COVID-19 severity: a prospective hospital cohort, in Pernambuco, Northeast Brazil</title><author>Brito, Carlos ; de Araujo Mariz, Carolline ; Freitas de Oliveira França, Rafael ; Lopes, Edmundo Pessoa ; Silva, Laura Emanuelle ; Neto, Roberto Lins ; Viana, Isabelle Freire ; Montarroyos, Ulisses ; Duarte, Claudio ; Lacerda, Heloisa Ramos ; de Brito Ximenes, Pamella ; de Oliveira Viana, Rafael Cabral ; Lima, Rayssa Gatis Dámorim ; Carneiro, Ananda Paiva Santos ; Braga, Cynthia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-e761c715f547f05032db69661db9c0078614391d9f3eaff6ecf8af9a75ae98563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Anorexia</topic><topic>Aspartate aminotransferase</topic><topic>Biomedical and Life Sciences</topic><topic>Brazil - epidemiology</topic><topic>Comorbidity</topic><topic>COVID-19</topic><topic>COVID-19 - diagnosis</topic><topic>COVID-19 - epidemiology</topic><topic>Diabetes mellitus</topic><topic>Eating disorders</topic><topic>Female</topic><topic>Food Microbiology</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hyperkalemia</topic><topic>Hypernatremia</topic><topic>Hypertension</topic><topic>Laboratories</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Medical Microbiology</topic><topic>Medicine and Public Health - Research Paper</topic><topic>Microbial Ecology</topic><topic>Microbial Genetics and Genomics</topic><topic>Microbiology</topic><topic>Middle Aged</topic><topic>Mycology</topic><topic>Prospective Studies</topic><topic>Risk Factors</topic><topic>SARS-CoV-2 - genetics</topic><topic>SARS-CoV-2 - isolation & purification</topic><topic>Severity of Illness Index</topic><topic>Statistical analysis</topic><topic>Tertiary Care Centers - statistics & numerical data</topic><topic>Thrombophilia</topic><topic>γ-Glutamyltransferase</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brito, Carlos</creatorcontrib><creatorcontrib>de Araujo Mariz, Carolline</creatorcontrib><creatorcontrib>Freitas de Oliveira França, Rafael</creatorcontrib><creatorcontrib>Lopes, Edmundo Pessoa</creatorcontrib><creatorcontrib>Silva, Laura Emanuelle</creatorcontrib><creatorcontrib>Neto, Roberto Lins</creatorcontrib><creatorcontrib>Viana, Isabelle Freire</creatorcontrib><creatorcontrib>Montarroyos, Ulisses</creatorcontrib><creatorcontrib>Duarte, Claudio</creatorcontrib><creatorcontrib>Lacerda, Heloisa Ramos</creatorcontrib><creatorcontrib>de Brito Ximenes, Pamella</creatorcontrib><creatorcontrib>de Oliveira Viana, Rafael Cabral</creatorcontrib><creatorcontrib>Lima, Rayssa Gatis Dámorim</creatorcontrib><creatorcontrib>Carneiro, Ananda Paiva Santos</creatorcontrib><creatorcontrib>Braga, Cynthia</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>MEDLINE - Academic</collection><jtitle>Brazilian journal of microbiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brito, Carlos</au><au>de Araujo Mariz, Carolline</au><au>Freitas de Oliveira França, Rafael</au><au>Lopes, Edmundo Pessoa</au><au>Silva, Laura Emanuelle</au><au>Neto, Roberto Lins</au><au>Viana, Isabelle Freire</au><au>Montarroyos, Ulisses</au><au>Duarte, Claudio</au><au>Lacerda, Heloisa Ramos</au><au>de Brito Ximenes, Pamella</au><au>de Oliveira Viana, Rafael Cabral</au><au>Lima, Rayssa Gatis Dámorim</au><au>Carneiro, Ananda Paiva Santos</au><au>Braga, Cynthia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical-laboratory characteristics predictive of COVID-19 severity: a prospective hospital cohort, in Pernambuco, Northeast Brazil</atitle><jtitle>Brazilian journal of microbiology</jtitle><stitle>Braz J Microbiol</stitle><addtitle>Braz J Microbiol</addtitle><date>2024-09-01</date><risdate>2024</risdate><volume>55</volume><issue>3</issue><spage>2643</spage><epage>2654</epage><pages>2643-2654</pages><issn>1517-8382</issn><issn>1678-4405</issn><eissn>1678-4405</eissn><abstract>Objective
To describe the clinical-laboratory profile and analyze the factors associated with the severity of COVID-19.
Methods
A prospective cohort study involving patients with COVID-19 admitted to a tertiary hospital in Recife, Brazil. All cases were confirmed by RT-PCR and classified according to severity criteria. A descriptive statistical analysis of the population’s characteristics was conducted. Risk factors associated with the outcome of the case according to severity were analyzed by calculating the odds ratio (OR) using the general equation estimation (GEE) model.
Results
Among the 75 cases included, 64% were female, and 62.7% were aged 65 years or older. The median length of stay was 9 days (6 – 14). Hypertension (65.3%) and Diabetes Mellitus (36%) were the most frequent comorbidities. Severe forms of COVID-19 constituted 41.3% of the sample. The factors associated with severity were a history of asthma (OR=4.58, 95%CI:1.13 – 18.7), report of anorexia (OR=1, 12, 95%CI:1.01–1.24), and laboratory changes that included elevated platelets (OR=1.00, 95% CI:1.00–1.01), elevated D'Dimer (OR=1, 26, 95% CI:1.04–1.52), elevated aspartate aminotransferase (OR=1.00, 95% CI:1.00–1.01), and gamma-glutamyl transferase (OR=1.22, IC95 %:0.98–1.51), hypernatremia (OR=1.31, 95%CI:1.12–1.52), and hyperkalemia (OR=1.21, 95% CI:1.04–1.41).
Conclusion
Multisystemic involvement with a tendency for thrombophilia, electrolyte disturbances, and hepatic aggression, reflected by laboratory changes, were factors associated with the severity of COVID-19.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>38955981</pmid><doi>10.1007/s42770-024-01382-2</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-5963-8178</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1517-8382 |
| ispartof | Brazilian journal of microbiology, 2024-09, Vol.55 (3), p.2643-2654 |
| issn | 1517-8382 1678-4405 1678-4405 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_3075376692 |
| source | MEDLINE; SpringerLink Journals; PubMed Central |
| subjects | Adult Aged Aged, 80 and over Anorexia Aspartate aminotransferase Biomedical and Life Sciences Brazil - epidemiology Comorbidity COVID-19 COVID-19 - diagnosis COVID-19 - epidemiology Diabetes mellitus Eating disorders Female Food Microbiology Hospitals Humans Hyperkalemia Hypernatremia Hypertension Laboratories Life Sciences Male Medical Microbiology Medicine and Public Health - Research Paper Microbial Ecology Microbial Genetics and Genomics Microbiology Middle Aged Mycology Prospective Studies Risk Factors SARS-CoV-2 - genetics SARS-CoV-2 - isolation & purification Severity of Illness Index Statistical analysis Tertiary Care Centers - statistics & numerical data Thrombophilia γ-Glutamyltransferase |
| title | Clinical-laboratory characteristics predictive of COVID-19 severity: a prospective hospital cohort, in Pernambuco, Northeast Brazil |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T08%3A05%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Clinical-laboratory%20characteristics%20predictive%20of%20COVID-19%20severity:%20a%20prospective%20hospital%20cohort,%20in%20Pernambuco,%20Northeast%20Brazil&rft.jtitle=Brazilian%20journal%20of%20microbiology&rft.au=Brito,%20Carlos&rft.date=2024-09-01&rft.volume=55&rft.issue=3&rft.spage=2643&rft.epage=2654&rft.pages=2643-2654&rft.issn=1517-8382&rft.eissn=1678-4405&rft_id=info:doi/10.1007/s42770-024-01382-2&rft_dat=%3Cproquest_cross%3E3105934954%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3105934954&rft_id=info:pmid/38955981&rfr_iscdi=true |