Evidence map›Paper›PMID 38827671›Full record

ArticleJournal of family medicine and primary care2024

The changing trend of fungal infection in invasive rhinosinusitis in the COVID era.

Parul Garg, Vikash Ranjan, Avnisha, Sneha Hembrom, Sachin Goel, Shalini Malhotra

Abstract read
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Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Parul GargDepartment of Microbiology, ABVIMS and RML Hospital, New Delhi, India.
Vikash RanjanDepartment of Microbiology, ABVIMS and RML Hospital, New Delhi, India.
AvnishaDepartment of Microbiology, ABVIMS and RML Hospital, New Delhi, India.
Sneha HembromDepartment of Microbiology, ABVIMS and RML Hospital, New Delhi, India.
Sachin GoelDepartment of ENT, ABVIMS and RML Hospital, New Delhi, India.
Shalini MalhotraDepartment of Microbiology, ABVIMS and RML Hospital, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: SARS-COV virus operates as a significant risk factor for invasive fungal aspergillosis and mucormycosis. Successful management of this fulminant infection requires early recognition of the disease and aggressive medical or surgical interventions to prevent the high morbidity and mortality associated with the disease process. Aims and Objective of the Study: 1. To isolate and identify different species of fungi among acute rhinosinusitis patients. 2. To assess the association of risk factors causing fungal rhinosinusitis. 3. To assess the changing trend in fungal rhinosinusitis during the COVID era. Material and Methods: This is a retrospective observational study conducted from May 2020 to October 2022, attending the ENT department and relevant data were collected from the medical records department of ABVIMS and Dr RML Hospital, New Delhi, a Tertiary Care Referral Centre in India. The major risk factors studied were age, gender, COVID-19 infection and underlying diseases (such as diabetes mellitus, ischaemic heart disease, hypertension, malignancies, chronic kidney DISEASES, etc.); details of corticosteroid use of all patients were recorded in the datasheet. The pandemic data was divided into three distinct time periods/waves/eras, i.e., first, second, and third waves, each of which included ten months, to examine the changing trend in fungal rhinosinusitis in the pandemic era of COVID-19. Results: A total of 412 patients out of which 236 patients were clinically diagnosed with fungal sinusitis based on revised EORTC criteria. The most common site involved was the orbit with paranasal sinus and eye 86/236 (36.4%), followed by involvement of nasal and paranasal sinus alone 68/236 (28.8%). The most prevalent age range affected was 40 to 50 years. The most commonly associated comorbidity was diabetes mellitus (DM) in 176 (74.5%), followed by head and neck malignancies in 22 (9.32%) patients. Thirty-eight (50.6%) Conclusion: With the continuing coronavirus pandemic, there is an unprecedented and discernible rise in the prevalence of acute invasive fungal sinusitis certainly a spike in cases of Aspergillus infection was observed, probably due to unprecedented usage of Amphotericin B for the treatment of mucormycosis during the third wave This underlines the importance of the need to tailor our treatment protocol as per the etiological agents hence the right antifungal drugs combined with urgent surgical procedures on a case-to-case basis may certainly increase the chances of survival.

Indexed as

Changing trendCovid erafungal rhinosinusitis

Identifiers

PMID38827671
PMCPMC11141948

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.