Articles | Open Access | DOI: https://doi.org/10.37547/TAJMSPR/Volume03Issue08-06

Clinical, Radiological And Laboratory Predictors Of Postcovid Interstitial Pulmonary Disease

Anvar Dalimov Arabboyevich , Doctor Of The Andijan Branch Of The Republican Specialized Medical Center For Emergency Care, Uzbekistan
Dilfuzahon Mamarasulova Zakirjanovna , Md, Associate Professor, Head Of The Department Of Oncology And Medical Radiology, Andijan State Medical Institute, Andijan, Uzbekistan
Nodirbek Ilkhomjon Ogli Yakubov , Assistant, Department Of Oncology And Medical Radiology, Andijan State Medical Institute, Andijan, Uzbekistan

Abstract

The Fergana Valley model was used to study the risk of postcovid interstitial lung disease in patients who have had COVID-19 associated pneumonia with 50% or more of the pulmonary parenchyma affected. Predictors of the formation of postcovid pulmonary fibrosis were determined and a risk assessment scale was developed. It was found that the use of ultrasound scanners in the early postcovid period is informative and is not inferior in terms of predicting fibrosis by serial MSCT.

Keywords

COVID-19, postcovid fibrosis, predictors

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Anvar Dalimov Arabboyevich, Dilfuzahon Mamarasulova Zakirjanovna, & Nodirbek Ilkhomjon Ogli Yakubov. (2021). Clinical, Radiological And Laboratory Predictors Of Postcovid Interstitial Pulmonary Disease. The American Journal of Medical Sciences and Pharmaceutical Research, 3(08), 26–36. https://doi.org/10.37547/TAJMSPR/Volume03Issue08-06