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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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A Study of Causation and Extent of Rhino-Orbito-Cerebral Spread of Mucormycosis in COVID-19 Treated Patients at a Tertiary Care Hospital in North India

Authors: Ashish Kumar; Sagar Dhillon; Saloni Singh; Rajendra Choudhary;

A Study of Causation and Extent of Rhino-Orbito-Cerebral Spread of Mucormycosis in COVID-19 Treated Patients at a Tertiary Care Hospital in North India

Abstract

Background: The COVID-19 pandemic has resulted in immense devastation, with a staggering death toll of over three million worldwide. As a consequence, there has been a notable rise in opportunistic infections, with one of the most alarming being COVID-19 associated Mucormycosis (CAM). The lack of comprehensive guidelines for screening and managing this condition, coupled with delayed diagnoses and poor prognoses, have heightened concerns among healthcare professionals that an epidemic of CAM may occur alongside the existing pandemic. Method: Twenty-one cases of invasive fungal infection from March to November 2021 were retrospectively examined. Demographic, clinical, laboratory, radiological, microbiological, pathological, and outcome data were then collected and analyzed. Result: Twenty-one consecutive inpatients with COVID-19 associated Mucormycosis (CAM) had a 57% pre-existing diabetes mellitus rate. The most prevalent symptoms at the beginning of the disease included facial swelling (81%), periorbital edema (52%), fever (81%), and headache (57%). According to radiographic studies, the majority of patients showed thickening of the sinus mucosa, which was followed by inflammation of the periorbital muscles and cavernous sinus infiltration. Conclusion: Steroid use, diabetes mellitus, and superadded COVID-19 infection induced immunodeficiency caused a higher incidence of Mucormycosis. The study highlighted the importance of early detection and proactive treatment, including surgical debridement and antifungal therapy, which significantly improved the long-term outcome and reduced the rates of mortality and morbidity.

Background: The COVID-19 pandemic has resulted in immense devastation, with a staggering death toll of over three million worldwide. As a consequence, there has been a notable rise in opportunistic infections, with one of the most alarming being COVID-19 associated Mucormycosis (CAM). The lack of comprehensive guidelines for screening and managing this condition, coupled with delayed diagnoses and poor prognoses, have heightened concerns among healthcare professionals that an epidemic of CAM may occur alongside the existing pandemic. Method: Twenty-one cases of invasive fungal infection from March to November 2021 were retrospectively examined. Demographic, clinical, laboratory, radiological, microbiological, pathological, and outcome data were then collected and analyzed. Result: Twenty-one consecutive inpatients with COVID-19 associated Mucormycosis (CAM) had a 57% pre-existing diabetes mellitus rate. The most prevalent symptoms at the beginning of the disease included facial swelling (81%), periorbital edema (52%), fever (81%), and headache (57%). According to radiographic studies, the majority of patients showed thickening of the sinus mucosa, which was followed by inflammation of the periorbital muscles and cavernous sinus infiltration. Conclusion: Steroid use, diabetes mellitus, and superadded COVID-19 infection induced immunodeficiency caused a higher incidence of Mucormycosis. The study highlighted the importance of early detection and proactive treatment, including surgical debridement and antifungal therapy, which significantly improved the long-term outcome and reduced the rates of mortality and morbidity.

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Keywords

Mucormycosis, ROCM, COVID-19

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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