| Autor: |
Rao, Prajwal, Rangankar, Varsha, Rohatgi, Shalesh, Dubey, Prashant, Gitay, Advait, Singh, Anmol, Jadhav, S.L, Nirhale, Satish, Naphade, Pravin |
| Předmět: |
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| Zdroj: |
Infectious Diseases; Nov2023, Vol. 55 Issue 11, p755-766, 12p |
| Abstrakt: |
Identifying early predictors of severe Covid-19 associated mucormycosis (CAM) can help improve management and treatment outcomes. Primary: To identify clinical and radiological predictors of disease severity in CAM. Secondary: To describe patterns of central nervous system (CNS) involvement in CAM. A total of 71 patients with CAM were included in the study. Based on the anatomical extent of involvement on MRI, patients were divided into three groups: Sinus (paranasal sinuses), Orbit (orbital spread), and CNS (CNS spread). Clinical parameters and radiological patterns of involvement of sinuses and extra sinus spaces were studied between the three groups. Patterns of CNS involvement were also described. A shorter time lag between COVID-19 infection and CAM, as well as high HbA1C levels, were found to be associated with severe disease. Involvement of the sphenoid, ethmoid and frontal sinuses, T1 hyperintense signal in the sphenoid, as well as bony involvement of the sphenoid sinus, were significantly associated with severe disease. Extra-sinus spread into pre/retroantral space, pterygopalatine fossa, and masticator spaces were also significantly associated with a severe disease course. The most common pattern of CNS spread was cavernous sinus involvement, followed by pachymeningeal spread and cranial nerve involvement. Early identification of the above-described predictors in patients presenting with CAM can help detect those at risk for developing severe disease. A longer duration of amphotericin, combined with a more aggressive surgical approach in selected cases, may lead to better long-term outcomes. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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