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Predictors for mucormycosis in COVID era: A case-control study from Gujarat
CONTEXT: Mucormycosis has been increasingly described in the coronavirus disease (COVID-19) era, however, there is a lack of robust epidemiological studies to understand the predictors for the development of mucormycosis from India. AIMS: To document the risk factors of mucormycosis with or without...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648231/ https://www.ncbi.nlm.nih.gov/pubmed/36387637 http://dx.doi.org/10.4103/jfmpc.jfmpc_2138_21 |
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author | Trivedi, Poonam Memon, Farjana Shah, Komal Shah, Hemal Yasobant, Sandul Saxena, Deepak |
author_facet | Trivedi, Poonam Memon, Farjana Shah, Komal Shah, Hemal Yasobant, Sandul Saxena, Deepak |
author_sort | Trivedi, Poonam |
collection | PubMed |
description | CONTEXT: Mucormycosis has been increasingly described in the coronavirus disease (COVID-19) era, however, there is a lack of robust epidemiological studies to understand the predictors for the development of mucormycosis from India. AIMS: To document the risk factors of mucormycosis with or without COVID-19 and estimate the strength of association of various risk factors. SETTINGS AND DESIGN: A case-control study was conducted in the Ahmedabad districts of Gujarat from June to August 2021. METHODS AND MATERIAL: One hundred participants (25 cases with mucor, 75 without mucor) were enrolled in the study. The cases and controls were then matched based on age and gender. Ethical approval was sought from the Institutional Ethics Committee of the Indian Institute of Public Health Gandhinagar, Gujrat, India. STATISTICAL ANALYSIS USED: Data were collected using the Epi Collect 5 application, and the descriptive, inferential analysis was done using the SPSS version 21 statistical software. RESULTS: About 68% of the cases were from a rural area and had past comorbidity conditions. About 80% of the cases reported a previous history of COVID-19, whereas 67% of the controls reported the same. The factors which remained significant after applying the hierarchical model were rural residents (OR = 3.2 [95% CI: 1.05–10.3]) and history of oxygen therapy (OR = 5.42 [95% CI: 1.24–23.8]). CONCLUSIONS: This study concludes that mucormycosis is independent of the COVID-19 status. Rural residents and oxygen therapy were found to be the most significant risk factors for mucormycosis. The findings of this study are also not conclusive to establish an association; thus, further exploration and in-depth research with larger samples are recommended. |
format | Online Article Text |
id | pubmed-9648231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-96482312022-11-15 Predictors for mucormycosis in COVID era: A case-control study from Gujarat Trivedi, Poonam Memon, Farjana Shah, Komal Shah, Hemal Yasobant, Sandul Saxena, Deepak J Family Med Prim Care Original Article CONTEXT: Mucormycosis has been increasingly described in the coronavirus disease (COVID-19) era, however, there is a lack of robust epidemiological studies to understand the predictors for the development of mucormycosis from India. AIMS: To document the risk factors of mucormycosis with or without COVID-19 and estimate the strength of association of various risk factors. SETTINGS AND DESIGN: A case-control study was conducted in the Ahmedabad districts of Gujarat from June to August 2021. METHODS AND MATERIAL: One hundred participants (25 cases with mucor, 75 without mucor) were enrolled in the study. The cases and controls were then matched based on age and gender. Ethical approval was sought from the Institutional Ethics Committee of the Indian Institute of Public Health Gandhinagar, Gujrat, India. STATISTICAL ANALYSIS USED: Data were collected using the Epi Collect 5 application, and the descriptive, inferential analysis was done using the SPSS version 21 statistical software. RESULTS: About 68% of the cases were from a rural area and had past comorbidity conditions. About 80% of the cases reported a previous history of COVID-19, whereas 67% of the controls reported the same. The factors which remained significant after applying the hierarchical model were rural residents (OR = 3.2 [95% CI: 1.05–10.3]) and history of oxygen therapy (OR = 5.42 [95% CI: 1.24–23.8]). CONCLUSIONS: This study concludes that mucormycosis is independent of the COVID-19 status. Rural residents and oxygen therapy were found to be the most significant risk factors for mucormycosis. The findings of this study are also not conclusive to establish an association; thus, further exploration and in-depth research with larger samples are recommended. Wolters Kluwer - Medknow 2022-07 2022-07-22 /pmc/articles/PMC9648231/ /pubmed/36387637 http://dx.doi.org/10.4103/jfmpc.jfmpc_2138_21 Text en Copyright: © 2022 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Trivedi, Poonam Memon, Farjana Shah, Komal Shah, Hemal Yasobant, Sandul Saxena, Deepak Predictors for mucormycosis in COVID era: A case-control study from Gujarat |
title | Predictors for mucormycosis in COVID era: A case-control study from Gujarat |
title_full | Predictors for mucormycosis in COVID era: A case-control study from Gujarat |
title_fullStr | Predictors for mucormycosis in COVID era: A case-control study from Gujarat |
title_full_unstemmed | Predictors for mucormycosis in COVID era: A case-control study from Gujarat |
title_short | Predictors for mucormycosis in COVID era: A case-control study from Gujarat |
title_sort | predictors for mucormycosis in covid era: a case-control study from gujarat |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648231/ https://www.ncbi.nlm.nih.gov/pubmed/36387637 http://dx.doi.org/10.4103/jfmpc.jfmpc_2138_21 |
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