Evidence map›Paper›PMID 37974856›Full record

ArticleIndian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India2023

Mucormycosis Epidemic in Covid Era: A Sinister Superinfection.

Sonith Peter George, Lokesh Bhalot, Jagram Verma, Surbhi Godha, Yamini Gupta, R K Mundra

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Article in Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Sonith Peter GeorgeDepartment of Otorhinolaryngology, M.G.M Medical College, 301-A, Elite Anmol, Shree Mangal Nagar, Near Bengali Square, Indore, M.P. 452016 India.
Lokesh BhalotDepartment of Otorhinolaryngology Medical College, Ratlam, M.P India.
Jagram VermaDepartment of Otorhinolaryngology, M.G.M Medical College, 301-A, Elite Anmol, Shree Mangal Nagar, Near Bengali Square, Indore, M.P. 452016 India.
Surbhi GodhaDepartment of Otorhinolaryngology, M.G.M Medical College, 301-A, Elite Anmol, Shree Mangal Nagar, Near Bengali Square, Indore, M.P. 452016 India.ORCID 0000-0002-5410-3086
Yamini GuptaDepartment of Otorhinolaryngology, M.G.M Medical College, 301-A, Elite Anmol, Shree Mangal Nagar, Near Bengali Square, Indore, M.P. 452016 India.
R K MundraDepartment of Otorhinolaryngology, M.G.M Medical College, 301-A, Elite Anmol, Shree Mangal Nagar, Near Bengali Square, Indore, M.P. 452016 India.
Mahatma Gandhi Memorial Medical College · INPt. Jawahar Lal Nehru Memorial Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we attempt to look at the various presentations, comorbidities and association of the recent epidemic of rhino-orbital cerebral mucormycosis with Covid-19 in central India. A prospective study of 612 patients diagnosed with mucormycosis from April to July 2021. Detailed history was taken and thorough clinical examination was done. The relation of mucormycosis with Covid-19 and other morbidities was studied. Nasal endoscopy, imaging and management findings were tabulated and analyzed. Male predominance of the disease was noted. The most common age group affected was found to be 41-50 years group having 33.1% of all patients. 83.2% patients had history of Covid-19 infection. Majority of the patients (41.6%) had mucormycosis symptoms within 1 month of Covid-19 symptom onset. Nasal symptoms predominated with 61.1% patients having one or more of the several nasal symptoms. Most common comorbidity was diabetes mellitus (75.8% cases). Nasal and sinus debridement was performed in 584 patients (95.4%). Mucormycosis turned into a widespread epidemic during the second wave of Covid-19 in India. Diabetes mellitus was the most common associated comorbidity that increased the risk of mucormycosis in patients with history of Covid-19 infection. A high index of suspicion in patients presenting with early symptoms in the context of Covid-19, along with prompt diagnosis using radiological, endoscopic and microbiological tools will help reduce mortality to a great extent. Mainstay of treatment is aggressive surgical and medical management, controlling comorbidities and adequate post-operative care.

Indexed as

ComorbiditiesCovid-19DebridementDiabetes mellitusMucormycosis

Identifiers

PMID37974856
PMCPMC10646106
OpenAlexW4382940838

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Registered trials

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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.