• Media type: E-Article
  • Title: Imaging spectrum, associations and outcomes in acute invasive fungal rhino-ocular-cerebral sinusitis in patients with COVID-19 pneumonia
  • Contributor: Patel, Viral B.; Patel, Aashvi; Mishra, Girish; Shah, Nilay; Shinde, Mayur K.; Musa, Raish K.
  • Published: Medknow, 2023
  • Published in: Journal of Family Medicine and Primary Care, 12 (2023) 6, Seite 1055-1062
  • Language: English
  • DOI: 10.4103/jfmpc.jfmpc_1189_22
  • ISSN: 2278-7135; 2249-4863
  • Keywords: General Medicine
  • Origination:
  • Footnote:
  • Description: ABSTRACT Background: Coronavirus Disease 2019 (COVID-19) has been speculated to enhance mucormycosis infection due to its immune-altering pathophysiology. Early identification of high-morbidity conditions is crucial for optimal treatment and improved outcomes. Methods: A retrospective study was conducted on 63 patients with clinical and microbiological evidence of rhino-ocular-cerebral mucormycosis, who had a history of COVID-19 infection. The clinical, demographic, and imaging data were retrieved and analyzed. Descriptive statistics (mean [SD] and frequency [%]) were used to describe important characteristics across audit cycles. Results: Out of 63 patients, 54 (85.71%) patients had associated comorbidities, with diabetes mellitus being common comorbidity and all patients had received injectable and/or oral corticosteroids. Imaging showed nasal and paranasal sinus, perisinus, maxillary alveolar arch, and hard palate involvement in 62 (98.41%), 33 (52.38%), 5 (7.94%) and 5 (7.94%) patients, respectively. Orbital involvement was seen in 24 (38.10%) patients. Skull base involvement was seen in 11 (17.46%) patients, and intracranial extension of disease was present in 11 (17.46%) patients. A total of 16 patients were on mechanical ventilation, of whom 3 succumbed. The mean (standard deviation [SD]) intensive care unit (ICU) stay was 13.2 days (6.8) for 5 patients who succumbed and 6.4 days (4.6) for 30 patients who survived (P value = 0.008). Conclusion: Cross-sectional imaging not only provides the extent of disease spread but also plays a vital role in providing a surgical roadmap to treating surgeons and in predicting prognosis in patients with invasive fungal infections.
  • Access State: Open Access