Histopathological Predictors of Severity of Fungal Infection in Cases of Post-COVID-19 Outbreak of Rhino-Orbital-Cerebral Mucormycosis

Abstract Background: A spike in rhino-orbital-cerebral mucormycosis (ROCM) cases was ascertained in the aftermath of the COVID-19 pandemic in South Asia. Materials and Methods: In this study, the histopathology slides of 214 samples from 162 patients diagnosed with ROCM (received throughout the post-COVID-19 outbreak) were retrieved. The histopathologic features were evaluated as per predetermined criteria and correlated with clinical stage, mortality, and other details. Results: Out of 162 patients, 25 patients (15.4%) succumbed to the disease while 137 (85.4%) recovered. A lower fungal load conferred a statistically significant better chance of survival for the patients. The presence of vessel thrombosis, higher fungal load, and absence of giant cells were found to have a significant correlation with higher clinical stage of the fungal infection. Following histopathologic features were found to have no statistically significant correlation with either the stage of the disease or mortality-angioinvasion, perineural invasion, lymphoplasmacytic infiltration, foamy histiocytes, grade of neutrophilic infiltration, granulomatous reaction, presence of oxalate crystals, and grade of coagulative necrosis. Conclusion: In the post-COVID-19 setting, higher fungal load, vessel wall thrombosis, and absence of giant cell reaction correlate with higher clinical stage of the disease.

Authors

Institutions

Publication Details

Journal
Journal of Microscopy and Ultrastructure
Published
2025-01-09
DOI
https://doi.org/10.4103/jmau.jmau_128_24
Primary Topic
Antifungal resistance and susceptibility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Histopathological Predictors of Severity of Fungal Infection in Cases of Post-COVID-19 Outbreak of Rhino-Orbital-Cerebral Mucormycosis

Meemansa Jindal, Vipin Arora, Nadeem Tanveer, Sonali Dixit et al.
Journal of Microscopy and Ultrastructure
Antifungal resistance and susceptibility
article

Histopathological Predictors of Severity of Fungal Infection in Cases of Post-COVID-19 Outbreak of Rhino-Orbital-Cerebral Mucormycosis

Meemansa Jindal, Vipin Arora, Nadeem Tanveer, Sonali Dixit, Sonal Sharma, Priyank Doodani
article en

Abstract

Abstract Background: A spike in rhino-orbital-cerebral mucormycosis (ROCM) cases was ascertained in the aftermath of the COVID-19 pandemic in South Asia. Materials and Methods: In this study, the histopathology slides of 214 samples from 162 patients diagnosed with ROCM (received throughout the post-COVID-19 outbreak) were retrieved. The histopathologic features were evaluated as per predetermined criteria and correlated with clinical stage, mortality, and other details. Results: Out of 162 patients, 25 patients (15.4%) succumbed to the disease while 137 (85.4%) recovered. A lower fungal load conferred a statistically significant better chance of survival for the patients. The presence of vessel thrombosis, higher fungal load, and absence of giant cells were found to have a significant correlation with higher clinical stage of the fungal infection. Following histopathologic features were found to have no statistically significant correlation with either the stage of the disease or mortality-angioinvasion, perineural invasion, lymphoplasmacytic infiltration, foamy histiocytes, grade of neutrophilic infiltration, granulomatous reaction, presence of oxalate crystals, and grade of coagulative necrosis. Conclusion: In the post-COVID-19 setting, higher fungal load, vessel wall thrombosis, and absence of giant cell reaction correlate with higher clinical stage of the disease.

Journal of Microscopy and Ultrastructure
University College of Medical Sciences (IN), Guru Teg Bahadur Hospital (IN), All India Institute of Medical Sciences (IN)
Good health and well-being
Openalex Percentile: Top 99%
Antifungal resistance and susceptibility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.