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...

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Veröffentlicht in:Journal of clinical medicine 2022-11, Vol.11 (23), p.7015
Hauptverfasser: 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
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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.
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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. 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Disease limited to the sinuses without a cerebral extension is associated with a lower risk of mortality. 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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. 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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
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