Predictors of mortality in COVID-19 patients treated with convalescent plasma therapy

Several options to treat hospitalized severe COVID-19 patients have been suggested. The study aimed to describe survival in patients treated with convalescent COVID plasma (CCP) and to identify in-hospital mortality predictors. This prospective cohort study examined data from 112 severe COVID-19 pat...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2022-07, Vol.17 (7), p.e0271036-e0271036
Hauptverfasser: Rahimi-Levene, Naomi, Shapira, Jonathan, Tzur, Irma, Shiloah, Eli, Peer, Victoria, Levin, Ella, Izak, Marina, Shinar, Eilat, Ziv-Baran, Tomer, Weinberger, Miriam, Zimhony, Oren, Chen, Jacob, Maor, Yasmin
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e0271036
container_issue 7
container_start_page e0271036
container_title PloS one
container_volume 17
creator Rahimi-Levene, Naomi
Shapira, Jonathan
Tzur, Irma
Shiloah, Eli
Peer, Victoria
Levin, Ella
Izak, Marina
Shinar, Eilat
Ziv-Baran, Tomer
Weinberger, Miriam
Zimhony, Oren
Chen, Jacob
Maor, Yasmin
description Several options to treat hospitalized severe COVID-19 patients have been suggested. The study aimed to describe survival in patients treated with convalescent COVID plasma (CCP) and to identify in-hospital mortality predictors. This prospective cohort study examined data from 112 severe COVID-19 patients hospitalized in the Corona Departments in an acute care hospital who received two units of CCP (at least one of them high-titer). Demographic and medical data was retrieved from the patients’ electronic health records (EHR). Possible predictors for in-hospital mortality were analyzed in a univariate analysis and those found to be clinically significant were further analyzed in a multivariable analysis. Median age was 67 years (IQR 55–74) and 66 (58.9%) of them were males. Of them, 20 (17.9%) died in hospital. On multivariable analysis diabetes mellitus (p = 0.004, OR 91.54), mechanical ventilation (p = 0.001, OR 59.07) and lower albumin levels at treatment (p = 0.027, OR 0.74) were significantly associated with increased in-hospital mortality. In our study, in-hospital mortality in patients receiving CCP is similar to that reported for the general population, however certain variables mentioned above were associated with increased in-hospital mortality. In the literature, these variables were also associated with a worse outcome in patients with COVID-19 who did not receive CCP. As evidence points toward a benefit from CCP treatment in immunocompromised patients, we believe the above risk factors can further define COVID-19 patients at increased risk for mortality, enabling the selection of candidates for early treatment in an outpatient setting if possible.
doi_str_mv 10.1371/journal.pone.0271036
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2691768254</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A710798548</galeid><doaj_id>oai_doaj_org_article_bead6392495c4853ba6f71113b20536d</doaj_id><sourcerecordid>A710798548</sourcerecordid><originalsourceid>FETCH-LOGICAL-c669t-3e3a7c72a3388af162af835300c8660feb6bac013d4411b9d393a0ab81340dcf3</originalsourceid><addsrcrecordid>eNqNkl2L1DAUhoso7rr6DwQLgujFjPlo0-RGWMavgYURdfc2nKbpTJa06Sbp6vx7M06VreyF5CIh58l7Tt5zsuw5RktMK_z22o2-B7scXK-XiFQYUfYgO8WCkgUjiD68cz7JnoRwjVBJOWOPsxNa8pIIQU6zyy9eN0ZF50Pu2rxzPoI1cZ-bPl9trtbvF1jkA0Sj-xjy6DVE3eQ_TNzlyvW3YHVQKZQPFkIHedxpD8P-afaoBRv0s2k_yy4_fvi--ry42Hxar84vFooxERdUU6hURYBSzqHFjEDLaUkRUqlO1Oqa1aAQpk1RYFyLhgoKCGqOaYEa1dKz7MVRd7AuyMmRIAkTuGKclEUi1keicXAtB2868HvpwMjfF85vJfholNWy1tAwKkghSlXwktbA2gpjTGuSjGNN0no3ZRvrTjeHf3uwM9F5pDc7uXW3UhBRCnYo5vUk4N3NqEOUnUn2WQu9duNUNxdFSRP68h_0_t9N1DY1Qpq-dSmvOojK8zQQleBlwRO1vIdKq9GdSV3UrUn3swdvZg8SE_XPuIUxBLn-9vX_2c3VnH11h91psHEXnB2jcX2Yg8URVN6F4HX712SM5GH6_7ghD9Mvp-mnvwB8y_R8</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2691768254</pqid></control><display><type>article</type><title>Predictors of mortality in COVID-19 patients treated with convalescent plasma therapy</title><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>Rahimi-Levene, Naomi ; Shapira, Jonathan ; Tzur, Irma ; Shiloah, Eli ; Peer, Victoria ; Levin, Ella ; Izak, Marina ; Shinar, Eilat ; Ziv-Baran, Tomer ; Weinberger, Miriam ; Zimhony, Oren ; Chen, Jacob ; Maor, Yasmin</creator><contributor>Jaworski, Juan Pablo</contributor><creatorcontrib>Rahimi-Levene, Naomi ; Shapira, Jonathan ; Tzur, Irma ; Shiloah, Eli ; Peer, Victoria ; Levin, Ella ; Izak, Marina ; Shinar, Eilat ; Ziv-Baran, Tomer ; Weinberger, Miriam ; Zimhony, Oren ; Chen, Jacob ; Maor, Yasmin ; Jaworski, Juan Pablo</creatorcontrib><description>Several options to treat hospitalized severe COVID-19 patients have been suggested. The study aimed to describe survival in patients treated with convalescent COVID plasma (CCP) and to identify in-hospital mortality predictors. This prospective cohort study examined data from 112 severe COVID-19 patients hospitalized in the Corona Departments in an acute care hospital who received two units of CCP (at least one of them high-titer). Demographic and medical data was retrieved from the patients’ electronic health records (EHR). Possible predictors for in-hospital mortality were analyzed in a univariate analysis and those found to be clinically significant were further analyzed in a multivariable analysis. Median age was 67 years (IQR 55–74) and 66 (58.9%) of them were males. Of them, 20 (17.9%) died in hospital. On multivariable analysis diabetes mellitus (p = 0.004, OR 91.54), mechanical ventilation (p = 0.001, OR 59.07) and lower albumin levels at treatment (p = 0.027, OR 0.74) were significantly associated with increased in-hospital mortality. In our study, in-hospital mortality in patients receiving CCP is similar to that reported for the general population, however certain variables mentioned above were associated with increased in-hospital mortality. In the literature, these variables were also associated with a worse outcome in patients with COVID-19 who did not receive CCP. As evidence points toward a benefit from CCP treatment in immunocompromised patients, we believe the above risk factors can further define COVID-19 patients at increased risk for mortality, enabling the selection of candidates for early treatment in an outpatient setting if possible.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0271036</identifier><identifier>PMID: 35852992</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Albumins ; Antibodies ; Bacterial infections ; Biology and Life Sciences ; Blood &amp; organ donations ; Corona ; Coronaviruses ; COVID-19 ; Diabetes ; Diabetes mellitus ; Drug dosages ; Electronic health records ; Electronic medical records ; Health risks ; Hospitals ; Hypertension ; Immunocompromised hosts ; Infectious diseases ; Laboratories ; Mechanical ventilation ; Medicine and Health Sciences ; Mortality ; Pandemics ; Patients ; Plasma ; Pneumonia ; Risk analysis ; Risk factors ; Severe acute respiratory syndrome coronavirus 2 ; Variables ; Ventilation ; Ventilators</subject><ispartof>PloS one, 2022-07, Vol.17 (7), p.e0271036-e0271036</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Rahimi-Levene 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>2022 Rahimi-Levene et al 2022 Rahimi-Levene et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c669t-3e3a7c72a3388af162af835300c8660feb6bac013d4411b9d393a0ab81340dcf3</citedby><cites>FETCH-LOGICAL-c669t-3e3a7c72a3388af162af835300c8660feb6bac013d4411b9d393a0ab81340dcf3</cites><orcidid>0000-0002-2589-8473 ; 0000-0002-1941-1550 ; 0000-0003-3411-886X</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/PMC9295964/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295964/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids></links><search><contributor>Jaworski, Juan Pablo</contributor><creatorcontrib>Rahimi-Levene, Naomi</creatorcontrib><creatorcontrib>Shapira, Jonathan</creatorcontrib><creatorcontrib>Tzur, Irma</creatorcontrib><creatorcontrib>Shiloah, Eli</creatorcontrib><creatorcontrib>Peer, Victoria</creatorcontrib><creatorcontrib>Levin, Ella</creatorcontrib><creatorcontrib>Izak, Marina</creatorcontrib><creatorcontrib>Shinar, Eilat</creatorcontrib><creatorcontrib>Ziv-Baran, Tomer</creatorcontrib><creatorcontrib>Weinberger, Miriam</creatorcontrib><creatorcontrib>Zimhony, Oren</creatorcontrib><creatorcontrib>Chen, Jacob</creatorcontrib><creatorcontrib>Maor, Yasmin</creatorcontrib><title>Predictors of mortality in COVID-19 patients treated with convalescent plasma therapy</title><title>PloS one</title><description>Several options to treat hospitalized severe COVID-19 patients have been suggested. The study aimed to describe survival in patients treated with convalescent COVID plasma (CCP) and to identify in-hospital mortality predictors. This prospective cohort study examined data from 112 severe COVID-19 patients hospitalized in the Corona Departments in an acute care hospital who received two units of CCP (at least one of them high-titer). Demographic and medical data was retrieved from the patients’ electronic health records (EHR). Possible predictors for in-hospital mortality were analyzed in a univariate analysis and those found to be clinically significant were further analyzed in a multivariable analysis. Median age was 67 years (IQR 55–74) and 66 (58.9%) of them were males. Of them, 20 (17.9%) died in hospital. On multivariable analysis diabetes mellitus (p = 0.004, OR 91.54), mechanical ventilation (p = 0.001, OR 59.07) and lower albumin levels at treatment (p = 0.027, OR 0.74) were significantly associated with increased in-hospital mortality. In our study, in-hospital mortality in patients receiving CCP is similar to that reported for the general population, however certain variables mentioned above were associated with increased in-hospital mortality. In the literature, these variables were also associated with a worse outcome in patients with COVID-19 who did not receive CCP. As evidence points toward a benefit from CCP treatment in immunocompromised patients, we believe the above risk factors can further define COVID-19 patients at increased risk for mortality, enabling the selection of candidates for early treatment in an outpatient setting if possible.</description><subject>Albumins</subject><subject>Antibodies</subject><subject>Bacterial infections</subject><subject>Biology and Life Sciences</subject><subject>Blood &amp; organ donations</subject><subject>Corona</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Drug dosages</subject><subject>Electronic health records</subject><subject>Electronic medical records</subject><subject>Health risks</subject><subject>Hospitals</subject><subject>Hypertension</subject><subject>Immunocompromised hosts</subject><subject>Infectious diseases</subject><subject>Laboratories</subject><subject>Mechanical ventilation</subject><subject>Medicine and Health Sciences</subject><subject>Mortality</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Plasma</subject><subject>Pneumonia</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Variables</subject><subject>Ventilation</subject><subject>Ventilators</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><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>eNqNkl2L1DAUhoso7rr6DwQLgujFjPlo0-RGWMavgYURdfc2nKbpTJa06Sbp6vx7M06VreyF5CIh58l7Tt5zsuw5RktMK_z22o2-B7scXK-XiFQYUfYgO8WCkgUjiD68cz7JnoRwjVBJOWOPsxNa8pIIQU6zyy9eN0ZF50Pu2rxzPoI1cZ-bPl9trtbvF1jkA0Sj-xjy6DVE3eQ_TNzlyvW3YHVQKZQPFkIHedxpD8P-afaoBRv0s2k_yy4_fvi--ry42Hxar84vFooxERdUU6hURYBSzqHFjEDLaUkRUqlO1Oqa1aAQpk1RYFyLhgoKCGqOaYEa1dKz7MVRd7AuyMmRIAkTuGKclEUi1keicXAtB2868HvpwMjfF85vJfholNWy1tAwKkghSlXwktbA2gpjTGuSjGNN0no3ZRvrTjeHf3uwM9F5pDc7uXW3UhBRCnYo5vUk4N3NqEOUnUn2WQu9duNUNxdFSRP68h_0_t9N1DY1Qpq-dSmvOojK8zQQleBlwRO1vIdKq9GdSV3UrUn3swdvZg8SE_XPuIUxBLn-9vX_2c3VnH11h91psHEXnB2jcX2Yg8URVN6F4HX712SM5GH6_7ghD9Mvp-mnvwB8y_R8</recordid><startdate>20220719</startdate><enddate>20220719</enddate><creator>Rahimi-Levene, Naomi</creator><creator>Shapira, Jonathan</creator><creator>Tzur, Irma</creator><creator>Shiloah, Eli</creator><creator>Peer, Victoria</creator><creator>Levin, Ella</creator><creator>Izak, Marina</creator><creator>Shinar, Eilat</creator><creator>Ziv-Baran, Tomer</creator><creator>Weinberger, Miriam</creator><creator>Zimhony, Oren</creator><creator>Chen, Jacob</creator><creator>Maor, Yasmin</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>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/0000-0002-2589-8473</orcidid><orcidid>https://orcid.org/0000-0002-1941-1550</orcidid><orcidid>https://orcid.org/0000-0003-3411-886X</orcidid></search><sort><creationdate>20220719</creationdate><title>Predictors of mortality in COVID-19 patients treated with convalescent plasma therapy</title><author>Rahimi-Levene, Naomi ; Shapira, Jonathan ; Tzur, Irma ; Shiloah, Eli ; Peer, Victoria ; Levin, Ella ; Izak, Marina ; Shinar, Eilat ; Ziv-Baran, Tomer ; Weinberger, Miriam ; Zimhony, Oren ; Chen, Jacob ; Maor, Yasmin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c669t-3e3a7c72a3388af162af835300c8660feb6bac013d4411b9d393a0ab81340dcf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Albumins</topic><topic>Antibodies</topic><topic>Bacterial infections</topic><topic>Biology and Life Sciences</topic><topic>Blood &amp; organ donations</topic><topic>Corona</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Drug dosages</topic><topic>Electronic health records</topic><topic>Electronic medical records</topic><topic>Health risks</topic><topic>Hospitals</topic><topic>Hypertension</topic><topic>Immunocompromised hosts</topic><topic>Infectious diseases</topic><topic>Laboratories</topic><topic>Mechanical ventilation</topic><topic>Medicine and Health Sciences</topic><topic>Mortality</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Plasma</topic><topic>Pneumonia</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Variables</topic><topic>Ventilation</topic><topic>Ventilators</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rahimi-Levene, Naomi</creatorcontrib><creatorcontrib>Shapira, Jonathan</creatorcontrib><creatorcontrib>Tzur, Irma</creatorcontrib><creatorcontrib>Shiloah, Eli</creatorcontrib><creatorcontrib>Peer, Victoria</creatorcontrib><creatorcontrib>Levin, Ella</creatorcontrib><creatorcontrib>Izak, Marina</creatorcontrib><creatorcontrib>Shinar, Eilat</creatorcontrib><creatorcontrib>Ziv-Baran, Tomer</creatorcontrib><creatorcontrib>Weinberger, Miriam</creatorcontrib><creatorcontrib>Zimhony, Oren</creatorcontrib><creatorcontrib>Chen, Jacob</creatorcontrib><creatorcontrib>Maor, Yasmin</creatorcontrib><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 &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; 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 &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; 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 &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; 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 &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; 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>Rahimi-Levene, Naomi</au><au>Shapira, Jonathan</au><au>Tzur, Irma</au><au>Shiloah, Eli</au><au>Peer, Victoria</au><au>Levin, Ella</au><au>Izak, Marina</au><au>Shinar, Eilat</au><au>Ziv-Baran, Tomer</au><au>Weinberger, Miriam</au><au>Zimhony, Oren</au><au>Chen, Jacob</au><au>Maor, Yasmin</au><au>Jaworski, Juan Pablo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors of mortality in COVID-19 patients treated with convalescent plasma therapy</atitle><jtitle>PloS one</jtitle><date>2022-07-19</date><risdate>2022</risdate><volume>17</volume><issue>7</issue><spage>e0271036</spage><epage>e0271036</epage><pages>e0271036-e0271036</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Several options to treat hospitalized severe COVID-19 patients have been suggested. The study aimed to describe survival in patients treated with convalescent COVID plasma (CCP) and to identify in-hospital mortality predictors. This prospective cohort study examined data from 112 severe COVID-19 patients hospitalized in the Corona Departments in an acute care hospital who received two units of CCP (at least one of them high-titer). Demographic and medical data was retrieved from the patients’ electronic health records (EHR). Possible predictors for in-hospital mortality were analyzed in a univariate analysis and those found to be clinically significant were further analyzed in a multivariable analysis. Median age was 67 years (IQR 55–74) and 66 (58.9%) of them were males. Of them, 20 (17.9%) died in hospital. On multivariable analysis diabetes mellitus (p = 0.004, OR 91.54), mechanical ventilation (p = 0.001, OR 59.07) and lower albumin levels at treatment (p = 0.027, OR 0.74) were significantly associated with increased in-hospital mortality. In our study, in-hospital mortality in patients receiving CCP is similar to that reported for the general population, however certain variables mentioned above were associated with increased in-hospital mortality. In the literature, these variables were also associated with a worse outcome in patients with COVID-19 who did not receive CCP. As evidence points toward a benefit from CCP treatment in immunocompromised patients, we believe the above risk factors can further define COVID-19 patients at increased risk for mortality, enabling the selection of candidates for early treatment in an outpatient setting if possible.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>35852992</pmid><doi>10.1371/journal.pone.0271036</doi><tpages>e0271036</tpages><orcidid>https://orcid.org/0000-0002-2589-8473</orcidid><orcidid>https://orcid.org/0000-0002-1941-1550</orcidid><orcidid>https://orcid.org/0000-0003-3411-886X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2022-07, Vol.17 (7), p.e0271036-e0271036
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_2691768254
source 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 Albumins
Antibodies
Bacterial infections
Biology and Life Sciences
Blood & organ donations
Corona
Coronaviruses
COVID-19
Diabetes
Diabetes mellitus
Drug dosages
Electronic health records
Electronic medical records
Health risks
Hospitals
Hypertension
Immunocompromised hosts
Infectious diseases
Laboratories
Mechanical ventilation
Medicine and Health Sciences
Mortality
Pandemics
Patients
Plasma
Pneumonia
Risk analysis
Risk factors
Severe acute respiratory syndrome coronavirus 2
Variables
Ventilation
Ventilators
title Predictors of mortality in COVID-19 patients treated with convalescent plasma therapy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T15%3A07%3A47IST&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=Predictors%20of%20mortality%20in%20COVID-19%20patients%20treated%20with%20convalescent%20plasma%20therapy&rft.jtitle=PloS%20one&rft.au=Rahimi-Levene,%20Naomi&rft.date=2022-07-19&rft.volume=17&rft.issue=7&rft.spage=e0271036&rft.epage=e0271036&rft.pages=e0271036-e0271036&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0271036&rft_dat=%3Cgale_plos_%3EA710798548%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=2691768254&rft_id=info:pmid/35852992&rft_galeid=A710798548&rft_doaj_id=oai_doaj_org_article_bead6392495c4853ba6f71113b20536d&rfr_iscdi=true