Dataset Information

Risk Based Decision Algorithms for Management of COVID-19 Associated Rhino-orbital Mucormycosis.

ABSTRACT:

Introduction

COVID associated mucormycosis is a challenging problem with significant morbidity and mortality implications. COVID affliction, pre-existing medical conditions especially diabetes and steroid prescription are supposed contributors for development of this opportunistic fungal infection. Surgery remains the mainstay of treatment with adequate post-op anti-fungal therapy.

Materials and methods

This is a retrospective analysis of prospectively maintained database of all surgical patients between March-May 2021 at a single centre. Prognosticators such as severity of COVID affliction, use of steroids, extent of rhino-orbital mucormycosis, extent of surgery and outcomes were studied. Descriptive statistics was used to analyse frequency of different variables and chi square test was used to analyse prognostic factors. P value < 0.05 were deemed significant.

Results

74 patients with an average 30 day follow-up were included. All patients had preceding COVID infection and 71.6% were diabetic and 25.7% were diagnosed during the course of their COVID treatment. Multiple sinus involvement being most common (52.61%), 10.81% underwent orbital exenteration and 24.32% palatectomies were performed. Revision surgeries were warranted in 16.21% patients. 9 patients succumbed to disease/ underlying medical and treatment related complications.

Conclusion

We propose a risk assessment based on general condition of patient and severity of mucormycosis infection to decide appropriate strategy for surgical intervention. Early detection and timely and adequate surgery are essential pre-requisites to good outcomes.

Supplementary information

The online version contains supplementary material available at 10.1007/s12070-021-02692-9.

SUBMITTER: Gupta NK

PROVIDER: S-EPMC8324444 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundTill now, no meta-analysis is available to address the clinical profile, risk factors, different interventions, and outcomes among COVID-19-associated rhino-orbito-cerebral mucormycosis (C-ROCM) cases.Materials and methodsEight literature databases were screened using appropriate keywords from November 1, 2019, to June 30, 2021. The objectives were to analyze the clinical and microbiological profile, risk factor/comorbidity, intervention, and outcome. "R-metafor package" was used for analysis.ResultsA total of 23 studies were included. The mean age of presentation of C-ROCM was 54.6 years. The most common presentation was ptosis (72.7%), lid edema (60.6%), proptosis (60.6%), ophthalmoplegia (57.3%), loss of vision (53.7%), facial edema (34.7%), and nasal-blockage (11.8%). Evidence of intracranial spread was seen in 42.8% of cases. Rhizopus was the most common fungus (57.1%) isolated in fungal culture. Among C-ROCM patients, diabetes was the commonest comorbid condition, and the use of corticosteroids related to COVID-19 treatment was the most common risk factor (85.75%). Compared to controlled diabetics, C-ROCM was significantly higher among uncontrolled diabetics (odds ratio [OR] 0.15, 95% confidence interval [C.I.] 0.041-0.544, P = 0.0010). However, no significant association was seen between C-ROCM and COVID-19 severity (OR 0.930, 95% C.I. 0.212-4.087, P = 0.923). For treatment, amphotericin-B was the most common antifungal drug used which was followed by surgical options. However, mortality was high (prevalence 0.344, 95% C.I. 0.205-0.403) despite treatment.ConclusionAlthough local rhino-orbito symptoms were the first to appear, rapid intracranial extension was seen in a significant number of C-ROCM cases. Uncontrolled diabetes and excessive use of corticosteroid were the most common risk factors present among the C-ROCM cases. High index clinical suspicion is imperative (specifically among COVID-19 patients with diabetes), and routine screening may be helpful.

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