Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the associated Coronavirus Disease 2019 (COVID-19) is a public health emergency. Acute kidney injury (AKI) is a common complication in hospitalized patients with COVID-19 although mechanisms underlying AKI are yet unclear. There may be...
Gespeichert in:
Veröffentlicht in: | PloS one 2021-02, Vol.16 (2), p.e0247366-e0247366 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e0247366 |
---|---|
container_issue | 2 |
container_start_page | e0247366 |
container_title | PloS one |
container_volume | 16 |
creator | Paranjpe, Ishan Chaudhary, Kumardeep Johnson, Kipp W Jaladanki, Suraj K Zhao, Shan De Freitas, Jessica K Pujdas, Elisabet Chaudhry, Fayzan Bottinger, Erwin P Levin, Matthew A Fayad, Zahi A Charney, Alexander W Houldsworth, Jane Cordon-Cardo, Carlos Glicksberg, Benjamin S Nadkarni, Girish N |
description | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the associated Coronavirus Disease 2019 (COVID-19) is a public health emergency. Acute kidney injury (AKI) is a common complication in hospitalized patients with COVID-19 although mechanisms underlying AKI are yet unclear. There may be a direct effect of SARS-CoV-2 virus on the kidney; however, there is currently no data linking SARS-CoV-2 viral load (VL) to AKI. We explored the association of SARS-CoV-2 VL at admission to AKI in a large diverse cohort of hospitalized patients with COVID-19.
We included patients hospitalized between March 13th and May 19th, 2020 with SARS-CoV-2 in a large academic healthcare system in New York City (N = 1,049) with available VL at admission quantified by real-time RT-PCR. We extracted clinical and outcome data from our institutional electronic health records (EHRs). AKI was defined by KDIGO guidelines. We fit a Fine-Gray competing risks model (with death as a competing risk) using demographics, comorbidities, admission severity scores, and log10 transformed VL as covariates and generated adjusted hazard ratios (aHR) and 95% Confidence Intervals (CIs). VL was associated with an increased risk of AKI (aHR = 1.04, 95% CI: 1.01-1.08, p = 0.02) with a 4% increased hazard for each log10 VL change. Patients with a viral load in the top 50th percentile had an increased adjusted hazard of 1.27 (95% CI: 1.02-1.58, p = 0.03) for AKI as compared to those in the bottom 50th percentile.
VL is weakly but significantly associated with in-hospital AKI after adjusting for confounders. This may indicate the role of VL in COVID-19 associated AKI. This data may inform future studies to discover the mechanistic basis of COVID-19 associated AKI. |
doi_str_mv | 10.1371/journal.pone.0247366 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2492989474</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A652924320</galeid><doaj_id>oai_doaj_org_article_268020d196c74ed3a3d845b1844c5d0c</doaj_id><sourcerecordid>A652924320</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-32fe3eb6e7897c8fdc19dc704ea48cb60b43702ece2a86ead8687f07a98152a3</originalsourceid><addsrcrecordid>eNqNk11v0zAUhiMEYqPwDxBYQkJwkeLYruNwgVRNfFSaNGmddmu59knjksYldgr99zhrNjVoF8gXtuznvMd-fU6SvM7wNKN59mnjurZR9XTnGphiwnLK-ZPkPCsoSTnB9OnJ-ix54f0G4xkVnD9PzijlhONCnCdh7r3TVgXrGuRKtJxfL9MLd5sStLetqlHtlEEqIGW21vue-m1DhWyTVs7vbIiI0l0A9NOaBg7xYNO1h89ojloIbURAB7sHpF3l2oB86MzhZfKsVLWHV8M8SW6-fb25-JFeXn1fXMwvU80LElJKSqCw4pCLIteiNDorjM4xA8WEXnG8YjTHBDQQJTgoI7jIS5yrQmQzougkeXuU3dXOy8EvLwkrSCEKlrNILI6EcWojd63dqvYgnbLybsO1a6naYHUNknCBCTZZwXXOwFBFjWCzVSYY0zODddT6MmTrVlswGpoQ_RuJjk8aW8m128u8wIxk_WU-DAKt-9WBDzI6rqGuVQOuu7s3ZfEHcxrRd_-gj79uoNYqPsA2pYt5dS8q53xGCsJorI1JMn2EisPA1upYXKWN-6OAj6OAyAT4E9aq814ultf_z17djtn3J2wFqg6Vd3XXl6Yfg-wI6lhfvoXyweQMy7437t2QfW_IoTdi2JvTD3oIum8G-hcoRQmR</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2492989474</pqid></control><display><type>article</type><title>Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Paranjpe, Ishan ; Chaudhary, Kumardeep ; Johnson, Kipp W ; Jaladanki, Suraj K ; Zhao, Shan ; De Freitas, Jessica K ; Pujdas, Elisabet ; Chaudhry, Fayzan ; Bottinger, Erwin P ; Levin, Matthew A ; Fayad, Zahi A ; Charney, Alexander W ; Houldsworth, Jane ; Cordon-Cardo, Carlos ; Glicksberg, Benjamin S ; Nadkarni, Girish N</creator><contributor>Conroy, Andrea L.</contributor><creatorcontrib>Paranjpe, Ishan ; Chaudhary, Kumardeep ; Johnson, Kipp W ; Jaladanki, Suraj K ; Zhao, Shan ; De Freitas, Jessica K ; Pujdas, Elisabet ; Chaudhry, Fayzan ; Bottinger, Erwin P ; Levin, Matthew A ; Fayad, Zahi A ; Charney, Alexander W ; Houldsworth, Jane ; Cordon-Cardo, Carlos ; Glicksberg, Benjamin S ; Nadkarni, Girish N ; Conroy, Andrea L.</creatorcontrib><description>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the associated Coronavirus Disease 2019 (COVID-19) is a public health emergency. Acute kidney injury (AKI) is a common complication in hospitalized patients with COVID-19 although mechanisms underlying AKI are yet unclear. There may be a direct effect of SARS-CoV-2 virus on the kidney; however, there is currently no data linking SARS-CoV-2 viral load (VL) to AKI. We explored the association of SARS-CoV-2 VL at admission to AKI in a large diverse cohort of hospitalized patients with COVID-19.
We included patients hospitalized between March 13th and May 19th, 2020 with SARS-CoV-2 in a large academic healthcare system in New York City (N = 1,049) with available VL at admission quantified by real-time RT-PCR. We extracted clinical and outcome data from our institutional electronic health records (EHRs). AKI was defined by KDIGO guidelines. We fit a Fine-Gray competing risks model (with death as a competing risk) using demographics, comorbidities, admission severity scores, and log10 transformed VL as covariates and generated adjusted hazard ratios (aHR) and 95% Confidence Intervals (CIs). VL was associated with an increased risk of AKI (aHR = 1.04, 95% CI: 1.01-1.08, p = 0.02) with a 4% increased hazard for each log10 VL change. Patients with a viral load in the top 50th percentile had an increased adjusted hazard of 1.27 (95% CI: 1.02-1.58, p = 0.03) for AKI as compared to those in the bottom 50th percentile.
VL is weakly but significantly associated with in-hospital AKI after adjusting for confounders. This may indicate the role of VL in COVID-19 associated AKI. This data may inform future studies to discover the mechanistic basis of COVID-19 associated AKI.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0247366</identifier><identifier>PMID: 33626098</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acute Kidney Injury - metabolism ; Acute Kidney Injury - virology ; Acute renal failure ; Adult ; Aged ; Aged, 80 and over ; Anesthesiology ; Biology and Life Sciences ; Biomedical engineering ; Cohort analysis ; Cohort Studies ; Comorbidity ; Computer and Information Sciences ; Coronaviruses ; COVID-19 ; COVID-19 - metabolism ; COVID-19 - mortality ; COVID-19 - virology ; Creatinine ; Customization ; Data analysis ; Diagnosis ; Editing ; Electronic health records ; Female ; Funding ; Genetics ; Health risks ; Hospital Mortality ; Hospitalization ; Hospitalization - statistics & numerical data ; Humans ; Intelligence ; Kidneys ; Male ; Measurement ; Medicine ; Medicine and Health Sciences ; Methodology ; Middle Aged ; Mortality ; New York City - epidemiology ; Pain ; Pathology ; Patients ; Polymerase chain reaction ; Precision medicine ; Proportional Hazards Models ; Radiology ; Research and Analysis Methods ; Retrospective Studies ; Risk Factors ; RNA-directed DNA polymerase ; SARS-CoV-2 - isolation & purification ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; Viral diseases ; Viral Load ; Viremia ; Visualization</subject><ispartof>PloS one, 2021-02, Vol.16 (2), p.e0247366-e0247366</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Paranjpe 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 Paranjpe et al 2021 Paranjpe et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-32fe3eb6e7897c8fdc19dc704ea48cb60b43702ece2a86ead8687f07a98152a3</citedby><cites>FETCH-LOGICAL-c692t-32fe3eb6e7897c8fdc19dc704ea48cb60b43702ece2a86ead8687f07a98152a3</cites><orcidid>0000-0002-5102-741X ; 0000-0003-4795-7945 ; 0000-0002-6781-1700 ; 0000-0002-3439-7347 ; 0000-0002-6618-8793 ; 0000-0002-4295-8570 ; 0000-0001-6319-4314 ; 0000-0002-7489-8322 ; 0000-0003-0406-2973 ; 0000-0001-8546-9112 ; 0000-0003-4515-8090 ; 0000-0002-4117-6403 ; 0000-0001-6868-6676 ; 0000-0002-6013-2684</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/PMC7904214/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904214/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33626098$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Conroy, Andrea L.</contributor><creatorcontrib>Paranjpe, Ishan</creatorcontrib><creatorcontrib>Chaudhary, Kumardeep</creatorcontrib><creatorcontrib>Johnson, Kipp W</creatorcontrib><creatorcontrib>Jaladanki, Suraj K</creatorcontrib><creatorcontrib>Zhao, Shan</creatorcontrib><creatorcontrib>De Freitas, Jessica K</creatorcontrib><creatorcontrib>Pujdas, Elisabet</creatorcontrib><creatorcontrib>Chaudhry, Fayzan</creatorcontrib><creatorcontrib>Bottinger, Erwin P</creatorcontrib><creatorcontrib>Levin, Matthew A</creatorcontrib><creatorcontrib>Fayad, Zahi A</creatorcontrib><creatorcontrib>Charney, Alexander W</creatorcontrib><creatorcontrib>Houldsworth, Jane</creatorcontrib><creatorcontrib>Cordon-Cardo, Carlos</creatorcontrib><creatorcontrib>Glicksberg, Benjamin S</creatorcontrib><creatorcontrib>Nadkarni, Girish N</creatorcontrib><title>Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the associated Coronavirus Disease 2019 (COVID-19) is a public health emergency. Acute kidney injury (AKI) is a common complication in hospitalized patients with COVID-19 although mechanisms underlying AKI are yet unclear. There may be a direct effect of SARS-CoV-2 virus on the kidney; however, there is currently no data linking SARS-CoV-2 viral load (VL) to AKI. We explored the association of SARS-CoV-2 VL at admission to AKI in a large diverse cohort of hospitalized patients with COVID-19.
We included patients hospitalized between March 13th and May 19th, 2020 with SARS-CoV-2 in a large academic healthcare system in New York City (N = 1,049) with available VL at admission quantified by real-time RT-PCR. We extracted clinical and outcome data from our institutional electronic health records (EHRs). AKI was defined by KDIGO guidelines. We fit a Fine-Gray competing risks model (with death as a competing risk) using demographics, comorbidities, admission severity scores, and log10 transformed VL as covariates and generated adjusted hazard ratios (aHR) and 95% Confidence Intervals (CIs). VL was associated with an increased risk of AKI (aHR = 1.04, 95% CI: 1.01-1.08, p = 0.02) with a 4% increased hazard for each log10 VL change. Patients with a viral load in the top 50th percentile had an increased adjusted hazard of 1.27 (95% CI: 1.02-1.58, p = 0.03) for AKI as compared to those in the bottom 50th percentile.
VL is weakly but significantly associated with in-hospital AKI after adjusting for confounders. This may indicate the role of VL in COVID-19 associated AKI. This data may inform future studies to discover the mechanistic basis of COVID-19 associated AKI.</description><subject>Acute Kidney Injury - metabolism</subject><subject>Acute Kidney Injury - virology</subject><subject>Acute renal failure</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Anesthesiology</subject><subject>Biology and Life Sciences</subject><subject>Biomedical engineering</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Comorbidity</subject><subject>Computer and Information Sciences</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - metabolism</subject><subject>COVID-19 - mortality</subject><subject>COVID-19 - virology</subject><subject>Creatinine</subject><subject>Customization</subject><subject>Data analysis</subject><subject>Diagnosis</subject><subject>Editing</subject><subject>Electronic health records</subject><subject>Female</subject><subject>Funding</subject><subject>Genetics</subject><subject>Health risks</subject><subject>Hospital Mortality</subject><subject>Hospitalization</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Humans</subject><subject>Intelligence</subject><subject>Kidneys</subject><subject>Male</subject><subject>Measurement</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Methodology</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>New York City - epidemiology</subject><subject>Pain</subject><subject>Pathology</subject><subject>Patients</subject><subject>Polymerase chain reaction</subject><subject>Precision medicine</subject><subject>Proportional Hazards Models</subject><subject>Radiology</subject><subject>Research and Analysis Methods</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>RNA-directed DNA polymerase</subject><subject>SARS-CoV-2 - isolation & purification</subject><subject>Severe acute respiratory syndrome</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Viral diseases</subject><subject>Viral Load</subject><subject>Viremia</subject><subject>Visualization</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>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAUhiMEYqPwDxBYQkJwkeLYruNwgVRNfFSaNGmddmu59knjksYldgr99zhrNjVoF8gXtuznvMd-fU6SvM7wNKN59mnjurZR9XTnGphiwnLK-ZPkPCsoSTnB9OnJ-ix54f0G4xkVnD9PzijlhONCnCdh7r3TVgXrGuRKtJxfL9MLd5sStLetqlHtlEEqIGW21vue-m1DhWyTVs7vbIiI0l0A9NOaBg7xYNO1h89ojloIbURAB7sHpF3l2oB86MzhZfKsVLWHV8M8SW6-fb25-JFeXn1fXMwvU80LElJKSqCw4pCLIteiNDorjM4xA8WEXnG8YjTHBDQQJTgoI7jIS5yrQmQzougkeXuU3dXOy8EvLwkrSCEKlrNILI6EcWojd63dqvYgnbLybsO1a6naYHUNknCBCTZZwXXOwFBFjWCzVSYY0zODddT6MmTrVlswGpoQ_RuJjk8aW8m128u8wIxk_WU-DAKt-9WBDzI6rqGuVQOuu7s3ZfEHcxrRd_-gj79uoNYqPsA2pYt5dS8q53xGCsJorI1JMn2EisPA1upYXKWN-6OAj6OAyAT4E9aq814ultf_z17djtn3J2wFqg6Vd3XXl6Yfg-wI6lhfvoXyweQMy7437t2QfW_IoTdi2JvTD3oIum8G-hcoRQmR</recordid><startdate>20210224</startdate><enddate>20210224</enddate><creator>Paranjpe, Ishan</creator><creator>Chaudhary, Kumardeep</creator><creator>Johnson, Kipp W</creator><creator>Jaladanki, Suraj K</creator><creator>Zhao, Shan</creator><creator>De Freitas, Jessica K</creator><creator>Pujdas, Elisabet</creator><creator>Chaudhry, Fayzan</creator><creator>Bottinger, Erwin P</creator><creator>Levin, Matthew A</creator><creator>Fayad, Zahi A</creator><creator>Charney, Alexander W</creator><creator>Houldsworth, Jane</creator><creator>Cordon-Cardo, Carlos</creator><creator>Glicksberg, Benjamin S</creator><creator>Nadkarni, Girish N</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>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>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>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5102-741X</orcidid><orcidid>https://orcid.org/0000-0003-4795-7945</orcidid><orcidid>https://orcid.org/0000-0002-6781-1700</orcidid><orcidid>https://orcid.org/0000-0002-3439-7347</orcidid><orcidid>https://orcid.org/0000-0002-6618-8793</orcidid><orcidid>https://orcid.org/0000-0002-4295-8570</orcidid><orcidid>https://orcid.org/0000-0001-6319-4314</orcidid><orcidid>https://orcid.org/0000-0002-7489-8322</orcidid><orcidid>https://orcid.org/0000-0003-0406-2973</orcidid><orcidid>https://orcid.org/0000-0001-8546-9112</orcidid><orcidid>https://orcid.org/0000-0003-4515-8090</orcidid><orcidid>https://orcid.org/0000-0002-4117-6403</orcidid><orcidid>https://orcid.org/0000-0001-6868-6676</orcidid><orcidid>https://orcid.org/0000-0002-6013-2684</orcidid></search><sort><creationdate>20210224</creationdate><title>Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study</title><author>Paranjpe, Ishan ; Chaudhary, Kumardeep ; Johnson, Kipp W ; Jaladanki, Suraj K ; Zhao, Shan ; De Freitas, Jessica K ; Pujdas, Elisabet ; Chaudhry, Fayzan ; Bottinger, Erwin P ; Levin, Matthew A ; Fayad, Zahi A ; Charney, Alexander W ; Houldsworth, Jane ; Cordon-Cardo, Carlos ; Glicksberg, Benjamin S ; Nadkarni, Girish N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-32fe3eb6e7897c8fdc19dc704ea48cb60b43702ece2a86ead8687f07a98152a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Acute Kidney Injury - metabolism</topic><topic>Acute Kidney Injury - virology</topic><topic>Acute renal failure</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Anesthesiology</topic><topic>Biology and Life Sciences</topic><topic>Biomedical engineering</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Comorbidity</topic><topic>Computer and Information Sciences</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - metabolism</topic><topic>COVID-19 - mortality</topic><topic>COVID-19 - virology</topic><topic>Creatinine</topic><topic>Customization</topic><topic>Data analysis</topic><topic>Diagnosis</topic><topic>Editing</topic><topic>Electronic health records</topic><topic>Female</topic><topic>Funding</topic><topic>Genetics</topic><topic>Health risks</topic><topic>Hospital Mortality</topic><topic>Hospitalization</topic><topic>Hospitalization - statistics & numerical data</topic><topic>Humans</topic><topic>Intelligence</topic><topic>Kidneys</topic><topic>Male</topic><topic>Measurement</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Methodology</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>New York City - epidemiology</topic><topic>Pain</topic><topic>Pathology</topic><topic>Patients</topic><topic>Polymerase chain reaction</topic><topic>Precision medicine</topic><topic>Proportional Hazards Models</topic><topic>Radiology</topic><topic>Research and Analysis Methods</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>RNA-directed DNA polymerase</topic><topic>SARS-CoV-2 - isolation & purification</topic><topic>Severe acute respiratory syndrome</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Viral diseases</topic><topic>Viral Load</topic><topic>Viremia</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Paranjpe, Ishan</creatorcontrib><creatorcontrib>Chaudhary, Kumardeep</creatorcontrib><creatorcontrib>Johnson, Kipp W</creatorcontrib><creatorcontrib>Jaladanki, Suraj K</creatorcontrib><creatorcontrib>Zhao, Shan</creatorcontrib><creatorcontrib>De Freitas, Jessica K</creatorcontrib><creatorcontrib>Pujdas, Elisabet</creatorcontrib><creatorcontrib>Chaudhry, Fayzan</creatorcontrib><creatorcontrib>Bottinger, Erwin P</creatorcontrib><creatorcontrib>Levin, Matthew A</creatorcontrib><creatorcontrib>Fayad, Zahi A</creatorcontrib><creatorcontrib>Charney, Alexander W</creatorcontrib><creatorcontrib>Houldsworth, Jane</creatorcontrib><creatorcontrib>Cordon-Cardo, Carlos</creatorcontrib><creatorcontrib>Glicksberg, Benjamin S</creatorcontrib><creatorcontrib>Nadkarni, Girish N</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 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>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>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>Paranjpe, Ishan</au><au>Chaudhary, Kumardeep</au><au>Johnson, Kipp W</au><au>Jaladanki, Suraj K</au><au>Zhao, Shan</au><au>De Freitas, Jessica K</au><au>Pujdas, Elisabet</au><au>Chaudhry, Fayzan</au><au>Bottinger, Erwin P</au><au>Levin, Matthew A</au><au>Fayad, Zahi A</au><au>Charney, Alexander W</au><au>Houldsworth, Jane</au><au>Cordon-Cardo, Carlos</au><au>Glicksberg, Benjamin S</au><au>Nadkarni, Girish N</au><au>Conroy, Andrea L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-02-24</date><risdate>2021</risdate><volume>16</volume><issue>2</issue><spage>e0247366</spage><epage>e0247366</epage><pages>e0247366-e0247366</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the associated Coronavirus Disease 2019 (COVID-19) is a public health emergency. Acute kidney injury (AKI) is a common complication in hospitalized patients with COVID-19 although mechanisms underlying AKI are yet unclear. There may be a direct effect of SARS-CoV-2 virus on the kidney; however, there is currently no data linking SARS-CoV-2 viral load (VL) to AKI. We explored the association of SARS-CoV-2 VL at admission to AKI in a large diverse cohort of hospitalized patients with COVID-19.
We included patients hospitalized between March 13th and May 19th, 2020 with SARS-CoV-2 in a large academic healthcare system in New York City (N = 1,049) with available VL at admission quantified by real-time RT-PCR. We extracted clinical and outcome data from our institutional electronic health records (EHRs). AKI was defined by KDIGO guidelines. We fit a Fine-Gray competing risks model (with death as a competing risk) using demographics, comorbidities, admission severity scores, and log10 transformed VL as covariates and generated adjusted hazard ratios (aHR) and 95% Confidence Intervals (CIs). VL was associated with an increased risk of AKI (aHR = 1.04, 95% CI: 1.01-1.08, p = 0.02) with a 4% increased hazard for each log10 VL change. Patients with a viral load in the top 50th percentile had an increased adjusted hazard of 1.27 (95% CI: 1.02-1.58, p = 0.03) for AKI as compared to those in the bottom 50th percentile.
VL is weakly but significantly associated with in-hospital AKI after adjusting for confounders. This may indicate the role of VL in COVID-19 associated AKI. This data may inform future studies to discover the mechanistic basis of COVID-19 associated AKI.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33626098</pmid><doi>10.1371/journal.pone.0247366</doi><tpages>e0247366</tpages><orcidid>https://orcid.org/0000-0002-5102-741X</orcidid><orcidid>https://orcid.org/0000-0003-4795-7945</orcidid><orcidid>https://orcid.org/0000-0002-6781-1700</orcidid><orcidid>https://orcid.org/0000-0002-3439-7347</orcidid><orcidid>https://orcid.org/0000-0002-6618-8793</orcidid><orcidid>https://orcid.org/0000-0002-4295-8570</orcidid><orcidid>https://orcid.org/0000-0001-6319-4314</orcidid><orcidid>https://orcid.org/0000-0002-7489-8322</orcidid><orcidid>https://orcid.org/0000-0003-0406-2973</orcidid><orcidid>https://orcid.org/0000-0001-8546-9112</orcidid><orcidid>https://orcid.org/0000-0003-4515-8090</orcidid><orcidid>https://orcid.org/0000-0002-4117-6403</orcidid><orcidid>https://orcid.org/0000-0001-6868-6676</orcidid><orcidid>https://orcid.org/0000-0002-6013-2684</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2021-02, Vol.16 (2), p.e0247366-e0247366 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2492989474 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Acute Kidney Injury - metabolism Acute Kidney Injury - virology Acute renal failure Adult Aged Aged, 80 and over Anesthesiology Biology and Life Sciences Biomedical engineering Cohort analysis Cohort Studies Comorbidity Computer and Information Sciences Coronaviruses COVID-19 COVID-19 - metabolism COVID-19 - mortality COVID-19 - virology Creatinine Customization Data analysis Diagnosis Editing Electronic health records Female Funding Genetics Health risks Hospital Mortality Hospitalization Hospitalization - statistics & numerical data Humans Intelligence Kidneys Male Measurement Medicine Medicine and Health Sciences Methodology Middle Aged Mortality New York City - epidemiology Pain Pathology Patients Polymerase chain reaction Precision medicine Proportional Hazards Models Radiology Research and Analysis Methods Retrospective Studies Risk Factors RNA-directed DNA polymerase SARS-CoV-2 - isolation & purification Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Viral diseases Viral Load Viremia Visualization |
title | Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T12%3A45%3A03IST&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=Association%20of%20SARS-CoV-2%20viral%20load%20at%20admission%20with%20in-hospital%20acute%20kidney%20injury:%20A%20retrospective%20cohort%20study&rft.jtitle=PloS%20one&rft.au=Paranjpe,%20Ishan&rft.date=2021-02-24&rft.volume=16&rft.issue=2&rft.spage=e0247366&rft.epage=e0247366&rft.pages=e0247366-e0247366&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0247366&rft_dat=%3Cgale_plos_%3EA652924320%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=2492989474&rft_id=info:pmid/33626098&rft_galeid=A652924320&rft_doaj_id=oai_doaj_org_article_268020d196c74ed3a3d845b1844c5d0c&rfr_iscdi=true |