ABSTRACT
Purpose. The analysis of CT and MR patterns of rhinoorbitocerebral mucormycosis (ROCM) among patients with type 2 diabetes (T2D) after COVID-19. Materials and methods. The study included 11 patients with confirmed COVID-19 and invasive ROCM in the long-term period. CT examinations were performed on Revolution EVO CT scanner (GE, Russia) and MRI on Aera MR scanner 1.5 T (Siemens, Germany). Results. We report several CT and MR patterns for a series of patients: involvement of paranasal sinuses, orbits, optic nerves, large arteries;intracranial spread;involvement bones of cranial base. The features of differential diagnosis and recommendations for standard protocols are presented. Conclusion. CT of paranasal sinuses is the method of choice for suspected fungal infections. MRI is recommended if there is a suspicion of orbital, vascular, and intracranial complications or cavernous sinus extension. The combination of both methods makes it possible to showed soft tissue invasion and bony destruction to choose optimal medical tactics ROCM. © 2022 Russian Electronic Journal of Radiology. All rights reserved.
ABSTRACT
Purpose. The analysis of CT and MR patterns of rhinoorbitocerebral mucormycosis (ROCM) among patients with type 2 diabetes (T2D) after COVID-19. Materials and methods. The study included 11 patients with confirmed COVID-19 and invasive ROCM in the long-term period. CT examinations were performed on Revolution EVO CT scanner (GE, Russia) and MRI on Aera MR scanner 1.5 T (Siemens, Germany). Results. We report several CT and MR patterns for a series of patients: involvement of paranasal sinuses, orbits, optic nerves, large arteries;intracranial spread;involvement bones of cranial base. The features of differential diagnosis and recommendations for standard protocols are presented. Conclusion. CT of paranasal sinuses is the method of choice for suspected fungal infections. MRI is recommended if there is a suspicion of orbital, vascular, and intracranial complications or cavernous sinus extension. The combination of both methods makes it possible to showed soft tissue invasion and bony destruction to choose optimal medical tactics ROCM.Copyright © 2022 Russian Electronic Journal of Radiology. All rights reserved.
ABSTRACT
Background. In February 2021 Kazakhstan began offering COVID-19 vaccines to adults. Breakthrough SARS-CoV-2 infections raised concerns about real-world vaccine effectiveness. We aimed to evaluate effectiveness of four vaccines against SARS-CoV-2 infection. Methods. We conducted a retrospective cohort analysis among adults in Almaty using aggregated vaccination data and individual-level breakthrough COVID-19 cases (>=14 days from 2nd dose) using national surveillance data. We ran time-adjusted Cox-proportional-hazards model with sensitivity analysis accounting for varying entry into vaccinated cohort to assess vaccine effectiveness for each vaccine (measured as 1-adjusted hazard ratios) using the unvaccinated population as reference (N=565,390). We separately calculated daily cumulative hazards for COVID-19 breakthrough among vaccinated persons by age and vaccine month. Results. From February 22 to Sept 1, 2021 in Almaty, 747,558 (57%) adults were fully vaccinated (received 2 doses) and 108,324 COVID-19 cases (11,472 breakthrough) were registered. Vaccine effectiveness against infection was 78% (sensitivity estimates: 74-82%) for QazVac, 77% (72-81%) for Sputnik V, 71% (69-72%) for Hayat-Vax, and 69% (64-72%) for CoronaVac. Among vaccinated persons, the 90-day follow-up cumulative hazard for breakthrough infection was 2.2%. Cumulative hazard was 2.9% among people aged >=60 years versus 1.9% among persons aged 18-39 years (p< 0.001), and 1.2% for people vaccinated in February-May versus 3.3% in June-August (p< 0.001). Conclusion. Our analysis demonstrates high effectiveness of COVID-19 vaccines against infection in Almaty similar to other observational studies. Higher cumulative hazard of breakthrough among people >60 years of age and during variant surges warrants targeted booster vaccination campaigns. (Figure Presented).