Factors Associated with Mortality in Coronavirus-Associated Mucormycosis: Results from Mycotic Infections in COVID-19 (MUNCO) Online Registry
COVID-19-associated mucormycosis (CAM) is associated with high morbidity and mortality. MUNCO is an international database used to collect clinical data on cases of CAM in real time. Preliminary data from the Mycotic Infections in COVID-19 (MUNCO) online registry yielded 728 cases from May to Septem...
Gespeichert in:
Veröffentlicht in: | Journal of clinical medicine 2022-11, Vol.11 (23), p.7015 |
---|---|
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 | 23 |
container_start_page | 7015 |
container_title | Journal of clinical medicine |
container_volume | 11 |
creator | Arora, Shitij Narayanan, Shivakumar Fazzari, Melissa Bhavana, Kranti Bharti, Bhartendu Walia, Shweta Kori, Neetu Kataria, Sushila Sharma, Pooja Atluri, Kavya Mandke, Charuta Gite, Vinod Redkar, Neelam Chansoria, Mayank Rawat, Sumit Kumar Bhat, Rajani S Dravid, Ameet Sethi, Yatin Barnawal, Chandan Sarkar, Nirmal Kanti Jariwala, Sunit Southern, William Puius, Yoram |
description | COVID-19-associated mucormycosis (CAM) is associated with high morbidity and mortality. MUNCO is an international database used to collect clinical data on cases of CAM in real time. Preliminary data from the Mycotic Infections in COVID-19 (MUNCO) online registry yielded 728 cases from May to September 2021 in four South Asian countries and the United States. A majority of the cases (694; 97.6%) consisted of a mucormycosis infection. The dataset allowed for the analysis of the risk factors for adverse outcomes from CAM and this analysis is presented in this paper.
The submission of cases was aided by a direct solicitation and social media online. The primary endpoints were full recovery or death measured on day 42 of the diagnosis. All patients had histopathologically confirmed CAM. The groups were compared to determine the contribution of each patient characteristic to the outcome. Multivariable logistic regression models were used to model the probability of death after a CAM diagnosis.
The registry captured 694 cases of CAM. Within this, 341 could be analyzed as the study excluded patients with an unknown CAM recovery status due to either an interruption or a lack of follow up. The 341 viable cases consisted of 258 patients who survived after the completion of treatment and 83 patients who died during the period of observation. In a multivariable logistic regression model, the factors associated with an increased risk of mortality include old age (OR = 1.04, 95% CI 1.02-1.07,
= 0.001), history of diabetes mellitus (OR 3.5, 95% CI 1.01-11.9,
= 0.02) and a lower BMI (OR 0.9, 95% CI 0.82-0.98,
= 0.03). Mucor localized to sinus disease was associated with 77% reduced odds of death (OR = 0.23, 95% CI 0.09-0.57,
= 0.001), while cerebral mucor was associated with an increased odds of death (OR = 10.96, 95% CI 4.93-24.36,
= ≤0.0001).
In patients with CAM, older age, a history of diabetes and a lower body mass index is associated with increased mortality. Disease limited to the sinuses without a cerebral extension is associated with a lower risk of mortality. Interestingly, the use of zinc and azithromycin were not associated with increased mortality in our study. |
doi_str_mv | 10.3390/jcm11237015 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9738048</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2753308908</sourcerecordid><originalsourceid>FETCH-LOGICAL-c409t-4b71f962c23aad377dfd9cb700ee98fc19093e8afd75fa7714c438dee56692373</originalsourceid><addsrcrecordid>eNpdkd9LHDEQx4O0VLE-9b0E-qKUrclm95L0oSBXbQ-8Hoj6GnLZRHPsJjaTVe6P8H9u_MnZvEyY-cyXmfki9ImSb4xJcrgyA6U144S2W2inJpxXhAn2buO_jfYAVqQ8IZqa8g9om00aKVohd9D9iTY5JsBHANF4nW2H73y-xvOYsu59XmMf8DSmGPStTyNUG-B8NDENaxPBw3d8ZmHsM2CX4oDnJZu9wbPgrMk-BnjUWVzOflZU4v35xZ_p4gAvQu-DLa1XHnJaf0Tvne7B7j3HXXRxcnw-_V2dLn7NpkenlWmIzFWz5NTJSW1qpnXHOO9cJ82SE2KtFM5QSSSzQruOt05zThvTMNFZ204mshyL7aIfT7o343KwnbEhJ92rm-QHndYqaq_eVoK_VlfxVknOBGlEEdh_Fkjx72ghq8GDsX2vg40jqJq3jBEhyQP65T90FccUynqFakRbLGGyUF-fKJMiQLLudRhK1IPTasPpQn_enP-VffGV_QNj3KWN</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2748542139</pqid></control><display><type>article</type><title>Factors Associated with Mortality in Coronavirus-Associated Mucormycosis: Results from Mycotic Infections in COVID-19 (MUNCO) Online Registry</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central Open Access</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>PubMed Central</source><creator>Arora, Shitij ; Narayanan, Shivakumar ; Fazzari, Melissa ; Bhavana, Kranti ; Bharti, Bhartendu ; Walia, Shweta ; Kori, Neetu ; Kataria, Sushila ; Sharma, Pooja ; Atluri, Kavya ; Mandke, Charuta ; Gite, Vinod ; Redkar, Neelam ; Chansoria, Mayank ; Rawat, Sumit Kumar ; Bhat, Rajani S ; Dravid, Ameet ; Sethi, Yatin ; Barnawal, Chandan ; Sarkar, Nirmal Kanti ; Jariwala, Sunit ; Southern, William ; Puius, Yoram</creator><creatorcontrib>Arora, Shitij ; Narayanan, Shivakumar ; Fazzari, Melissa ; Bhavana, Kranti ; Bharti, Bhartendu ; Walia, Shweta ; Kori, Neetu ; Kataria, Sushila ; Sharma, Pooja ; Atluri, Kavya ; Mandke, Charuta ; Gite, Vinod ; Redkar, Neelam ; Chansoria, Mayank ; Rawat, Sumit Kumar ; Bhat, Rajani S ; Dravid, Ameet ; Sethi, Yatin ; Barnawal, Chandan ; Sarkar, Nirmal Kanti ; Jariwala, Sunit ; Southern, William ; Puius, Yoram ; MUNCO Registry</creatorcontrib><description>COVID-19-associated mucormycosis (CAM) is associated with high morbidity and mortality. MUNCO is an international database used to collect clinical data on cases of CAM in real time. Preliminary data from the Mycotic Infections in COVID-19 (MUNCO) online registry yielded 728 cases from May to September 2021 in four South Asian countries and the United States. A majority of the cases (694; 97.6%) consisted of a mucormycosis infection. The dataset allowed for the analysis of the risk factors for adverse outcomes from CAM and this analysis is presented in this paper.
The submission of cases was aided by a direct solicitation and social media online. The primary endpoints were full recovery or death measured on day 42 of the diagnosis. All patients had histopathologically confirmed CAM. The groups were compared to determine the contribution of each patient characteristic to the outcome. Multivariable logistic regression models were used to model the probability of death after a CAM diagnosis.
The registry captured 694 cases of CAM. Within this, 341 could be analyzed as the study excluded patients with an unknown CAM recovery status due to either an interruption or a lack of follow up. The 341 viable cases consisted of 258 patients who survived after the completion of treatment and 83 patients who died during the period of observation. In a multivariable logistic regression model, the factors associated with an increased risk of mortality include old age (OR = 1.04, 95% CI 1.02-1.07,
= 0.001), history of diabetes mellitus (OR 3.5, 95% CI 1.01-11.9,
= 0.02) and a lower BMI (OR 0.9, 95% CI 0.82-0.98,
= 0.03). Mucor localized to sinus disease was associated with 77% reduced odds of death (OR = 0.23, 95% CI 0.09-0.57,
= 0.001), while cerebral mucor was associated with an increased odds of death (OR = 10.96, 95% CI 4.93-24.36,
= ≤0.0001).
In patients with CAM, older age, a history of diabetes and a lower body mass index is associated with increased mortality. Disease limited to the sinuses without a cerebral extension is associated with a lower risk of mortality. Interestingly, the use of zinc and azithromycin were not associated with increased mortality in our study.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm11237015</identifier><identifier>PMID: 36498589</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Body mass index ; Clinical medicine ; Coronaviruses ; COVID-19 ; Data collection ; Diabetes ; Fungal infections ; Infections ; Mortality ; Patients ; Regression analysis ; Risk factors ; Severe acute respiratory syndrome coronavirus 2 ; Steroids</subject><ispartof>Journal of clinical medicine, 2022-11, Vol.11 (23), p.7015</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-4b71f962c23aad377dfd9cb700ee98fc19093e8afd75fa7714c438dee56692373</citedby><cites>FETCH-LOGICAL-c409t-4b71f962c23aad377dfd9cb700ee98fc19093e8afd75fa7714c438dee56692373</cites><orcidid>0000-0003-3440-0259 ; 0000-0002-8927-6171</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/PMC9738048/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738048/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36498589$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Arora, Shitij</creatorcontrib><creatorcontrib>Narayanan, Shivakumar</creatorcontrib><creatorcontrib>Fazzari, Melissa</creatorcontrib><creatorcontrib>Bhavana, Kranti</creatorcontrib><creatorcontrib>Bharti, Bhartendu</creatorcontrib><creatorcontrib>Walia, Shweta</creatorcontrib><creatorcontrib>Kori, Neetu</creatorcontrib><creatorcontrib>Kataria, Sushila</creatorcontrib><creatorcontrib>Sharma, Pooja</creatorcontrib><creatorcontrib>Atluri, Kavya</creatorcontrib><creatorcontrib>Mandke, Charuta</creatorcontrib><creatorcontrib>Gite, Vinod</creatorcontrib><creatorcontrib>Redkar, Neelam</creatorcontrib><creatorcontrib>Chansoria, Mayank</creatorcontrib><creatorcontrib>Rawat, Sumit Kumar</creatorcontrib><creatorcontrib>Bhat, Rajani S</creatorcontrib><creatorcontrib>Dravid, Ameet</creatorcontrib><creatorcontrib>Sethi, Yatin</creatorcontrib><creatorcontrib>Barnawal, Chandan</creatorcontrib><creatorcontrib>Sarkar, Nirmal Kanti</creatorcontrib><creatorcontrib>Jariwala, Sunit</creatorcontrib><creatorcontrib>Southern, William</creatorcontrib><creatorcontrib>Puius, Yoram</creatorcontrib><creatorcontrib>MUNCO Registry</creatorcontrib><title>Factors Associated with Mortality in Coronavirus-Associated Mucormycosis: Results from Mycotic Infections in COVID-19 (MUNCO) Online Registry</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>COVID-19-associated mucormycosis (CAM) is associated with high morbidity and mortality. MUNCO is an international database used to collect clinical data on cases of CAM in real time. Preliminary data from the Mycotic Infections in COVID-19 (MUNCO) online registry yielded 728 cases from May to September 2021 in four South Asian countries and the United States. A majority of the cases (694; 97.6%) consisted of a mucormycosis infection. The dataset allowed for the analysis of the risk factors for adverse outcomes from CAM and this analysis is presented in this paper.
The submission of cases was aided by a direct solicitation and social media online. The primary endpoints were full recovery or death measured on day 42 of the diagnosis. All patients had histopathologically confirmed CAM. The groups were compared to determine the contribution of each patient characteristic to the outcome. Multivariable logistic regression models were used to model the probability of death after a CAM diagnosis.
The registry captured 694 cases of CAM. Within this, 341 could be analyzed as the study excluded patients with an unknown CAM recovery status due to either an interruption or a lack of follow up. The 341 viable cases consisted of 258 patients who survived after the completion of treatment and 83 patients who died during the period of observation. In a multivariable logistic regression model, the factors associated with an increased risk of mortality include old age (OR = 1.04, 95% CI 1.02-1.07,
= 0.001), history of diabetes mellitus (OR 3.5, 95% CI 1.01-11.9,
= 0.02) and a lower BMI (OR 0.9, 95% CI 0.82-0.98,
= 0.03). Mucor localized to sinus disease was associated with 77% reduced odds of death (OR = 0.23, 95% CI 0.09-0.57,
= 0.001), while cerebral mucor was associated with an increased odds of death (OR = 10.96, 95% CI 4.93-24.36,
= ≤0.0001).
In patients with CAM, older age, a history of diabetes and a lower body mass index is associated with increased mortality. Disease limited to the sinuses without a cerebral extension is associated with a lower risk of mortality. Interestingly, the use of zinc and azithromycin were not associated with increased mortality in our study.</description><subject>Body mass index</subject><subject>Clinical medicine</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Data collection</subject><subject>Diabetes</subject><subject>Fungal infections</subject><subject>Infections</subject><subject>Mortality</subject><subject>Patients</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Steroids</subject><issn>2077-0383</issn><issn>2077-0383</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><recordid>eNpdkd9LHDEQx4O0VLE-9b0E-qKUrclm95L0oSBXbQ-8Hoj6GnLZRHPsJjaTVe6P8H9u_MnZvEyY-cyXmfki9ImSb4xJcrgyA6U144S2W2inJpxXhAn2buO_jfYAVqQ8IZqa8g9om00aKVohd9D9iTY5JsBHANF4nW2H73y-xvOYsu59XmMf8DSmGPStTyNUG-B8NDENaxPBw3d8ZmHsM2CX4oDnJZu9wbPgrMk-BnjUWVzOflZU4v35xZ_p4gAvQu-DLa1XHnJaf0Tvne7B7j3HXXRxcnw-_V2dLn7NpkenlWmIzFWz5NTJSW1qpnXHOO9cJ82SE2KtFM5QSSSzQruOt05zThvTMNFZ204mshyL7aIfT7o343KwnbEhJ92rm-QHndYqaq_eVoK_VlfxVknOBGlEEdh_Fkjx72ghq8GDsX2vg40jqJq3jBEhyQP65T90FccUynqFakRbLGGyUF-fKJMiQLLudRhK1IPTasPpQn_enP-VffGV_QNj3KWN</recordid><startdate>20221127</startdate><enddate>20221127</enddate><creator>Arora, Shitij</creator><creator>Narayanan, Shivakumar</creator><creator>Fazzari, Melissa</creator><creator>Bhavana, Kranti</creator><creator>Bharti, Bhartendu</creator><creator>Walia, Shweta</creator><creator>Kori, Neetu</creator><creator>Kataria, Sushila</creator><creator>Sharma, Pooja</creator><creator>Atluri, Kavya</creator><creator>Mandke, Charuta</creator><creator>Gite, Vinod</creator><creator>Redkar, Neelam</creator><creator>Chansoria, Mayank</creator><creator>Rawat, Sumit Kumar</creator><creator>Bhat, Rajani S</creator><creator>Dravid, Ameet</creator><creator>Sethi, Yatin</creator><creator>Barnawal, Chandan</creator><creator>Sarkar, Nirmal Kanti</creator><creator>Jariwala, Sunit</creator><creator>Southern, William</creator><creator>Puius, Yoram</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3440-0259</orcidid><orcidid>https://orcid.org/0000-0002-8927-6171</orcidid></search><sort><creationdate>20221127</creationdate><title>Factors Associated with Mortality in Coronavirus-Associated Mucormycosis: Results from Mycotic Infections in COVID-19 (MUNCO) Online Registry</title><author>Arora, Shitij ; Narayanan, Shivakumar ; Fazzari, Melissa ; Bhavana, Kranti ; Bharti, Bhartendu ; Walia, Shweta ; Kori, Neetu ; Kataria, Sushila ; Sharma, Pooja ; Atluri, Kavya ; Mandke, Charuta ; Gite, Vinod ; Redkar, Neelam ; Chansoria, Mayank ; Rawat, Sumit Kumar ; Bhat, Rajani S ; Dravid, Ameet ; Sethi, Yatin ; Barnawal, Chandan ; Sarkar, Nirmal Kanti ; Jariwala, Sunit ; Southern, William ; Puius, Yoram</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c409t-4b71f962c23aad377dfd9cb700ee98fc19093e8afd75fa7714c438dee56692373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Body mass index</topic><topic>Clinical medicine</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Data collection</topic><topic>Diabetes</topic><topic>Fungal infections</topic><topic>Infections</topic><topic>Mortality</topic><topic>Patients</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Steroids</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Arora, Shitij</creatorcontrib><creatorcontrib>Narayanan, Shivakumar</creatorcontrib><creatorcontrib>Fazzari, Melissa</creatorcontrib><creatorcontrib>Bhavana, Kranti</creatorcontrib><creatorcontrib>Bharti, Bhartendu</creatorcontrib><creatorcontrib>Walia, Shweta</creatorcontrib><creatorcontrib>Kori, Neetu</creatorcontrib><creatorcontrib>Kataria, Sushila</creatorcontrib><creatorcontrib>Sharma, Pooja</creatorcontrib><creatorcontrib>Atluri, Kavya</creatorcontrib><creatorcontrib>Mandke, Charuta</creatorcontrib><creatorcontrib>Gite, Vinod</creatorcontrib><creatorcontrib>Redkar, Neelam</creatorcontrib><creatorcontrib>Chansoria, Mayank</creatorcontrib><creatorcontrib>Rawat, Sumit Kumar</creatorcontrib><creatorcontrib>Bhat, Rajani S</creatorcontrib><creatorcontrib>Dravid, Ameet</creatorcontrib><creatorcontrib>Sethi, Yatin</creatorcontrib><creatorcontrib>Barnawal, Chandan</creatorcontrib><creatorcontrib>Sarkar, Nirmal Kanti</creatorcontrib><creatorcontrib>Jariwala, Sunit</creatorcontrib><creatorcontrib>Southern, William</creatorcontrib><creatorcontrib>Puius, Yoram</creatorcontrib><creatorcontrib>MUNCO Registry</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Arora, Shitij</au><au>Narayanan, Shivakumar</au><au>Fazzari, Melissa</au><au>Bhavana, Kranti</au><au>Bharti, Bhartendu</au><au>Walia, Shweta</au><au>Kori, Neetu</au><au>Kataria, Sushila</au><au>Sharma, Pooja</au><au>Atluri, Kavya</au><au>Mandke, Charuta</au><au>Gite, Vinod</au><au>Redkar, Neelam</au><au>Chansoria, Mayank</au><au>Rawat, Sumit Kumar</au><au>Bhat, Rajani S</au><au>Dravid, Ameet</au><au>Sethi, Yatin</au><au>Barnawal, Chandan</au><au>Sarkar, Nirmal Kanti</au><au>Jariwala, Sunit</au><au>Southern, William</au><au>Puius, Yoram</au><aucorp>MUNCO Registry</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors Associated with Mortality in Coronavirus-Associated Mucormycosis: Results from Mycotic Infections in COVID-19 (MUNCO) Online Registry</atitle><jtitle>Journal of clinical medicine</jtitle><addtitle>J Clin Med</addtitle><date>2022-11-27</date><risdate>2022</risdate><volume>11</volume><issue>23</issue><spage>7015</spage><pages>7015-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>COVID-19-associated mucormycosis (CAM) is associated with high morbidity and mortality. MUNCO is an international database used to collect clinical data on cases of CAM in real time. Preliminary data from the Mycotic Infections in COVID-19 (MUNCO) online registry yielded 728 cases from May to September 2021 in four South Asian countries and the United States. A majority of the cases (694; 97.6%) consisted of a mucormycosis infection. The dataset allowed for the analysis of the risk factors for adverse outcomes from CAM and this analysis is presented in this paper.
The submission of cases was aided by a direct solicitation and social media online. The primary endpoints were full recovery or death measured on day 42 of the diagnosis. All patients had histopathologically confirmed CAM. The groups were compared to determine the contribution of each patient characteristic to the outcome. Multivariable logistic regression models were used to model the probability of death after a CAM diagnosis.
The registry captured 694 cases of CAM. Within this, 341 could be analyzed as the study excluded patients with an unknown CAM recovery status due to either an interruption or a lack of follow up. The 341 viable cases consisted of 258 patients who survived after the completion of treatment and 83 patients who died during the period of observation. In a multivariable logistic regression model, the factors associated with an increased risk of mortality include old age (OR = 1.04, 95% CI 1.02-1.07,
= 0.001), history of diabetes mellitus (OR 3.5, 95% CI 1.01-11.9,
= 0.02) and a lower BMI (OR 0.9, 95% CI 0.82-0.98,
= 0.03). Mucor localized to sinus disease was associated with 77% reduced odds of death (OR = 0.23, 95% CI 0.09-0.57,
= 0.001), while cerebral mucor was associated with an increased odds of death (OR = 10.96, 95% CI 4.93-24.36,
= ≤0.0001).
In patients with CAM, older age, a history of diabetes and a lower body mass index is associated with increased mortality. Disease limited to the sinuses without a cerebral extension is associated with a lower risk of mortality. Interestingly, the use of zinc and azithromycin were not associated with increased mortality in our study.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36498589</pmid><doi>10.3390/jcm11237015</doi><orcidid>https://orcid.org/0000-0003-3440-0259</orcidid><orcidid>https://orcid.org/0000-0002-8927-6171</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2077-0383 |
ispartof | Journal of clinical medicine, 2022-11, Vol.11 (23), p.7015 |
issn | 2077-0383 2077-0383 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9738048 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; PubMed Central |
subjects | Body mass index Clinical medicine Coronaviruses COVID-19 Data collection Diabetes Fungal infections Infections Mortality Patients Regression analysis Risk factors Severe acute respiratory syndrome coronavirus 2 Steroids |
title | Factors Associated with Mortality in Coronavirus-Associated Mucormycosis: Results from Mycotic Infections in COVID-19 (MUNCO) Online Registry |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T08%3A01%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Factors%20Associated%20with%20Mortality%20in%20Coronavirus-Associated%20Mucormycosis:%20Results%20from%20Mycotic%20Infections%20in%20COVID-19%20(MUNCO)%20Online%20Registry&rft.jtitle=Journal%20of%20clinical%20medicine&rft.au=Arora,%20Shitij&rft.aucorp=MUNCO%20Registry&rft.date=2022-11-27&rft.volume=11&rft.issue=23&rft.spage=7015&rft.pages=7015-&rft.issn=2077-0383&rft.eissn=2077-0383&rft_id=info:doi/10.3390/jcm11237015&rft_dat=%3Cproquest_pubme%3E2753308908%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2748542139&rft_id=info:pmid/36498589&rfr_iscdi=true |