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MeSH Disease

Human Phenotype

Transmission

Seroprevalence

There are no seroprevalence terms in the subcorpus

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    Chest CT imaging features of critically ill COVID-19 patients  

    Authors: Nan Zhang; Xunhua Xu; Ling-Yan Zhou; Gang Chen; Yu Li; Huiming Yin; Zhonghua Sun

    doi:10.21203/rs.3.rs-18094/v1 Date: 2020-03-19 Source: ResearchSquare

    Objectives To analyze the findings of computed tomography (CT) imaging in critically ill patients diagnosed with co ronavirus disease 2 MESHD019 (COVID-19).Methods This retrospective study reviewed 60 cr itically ill p MESHDatients (43 males TRANS and 17 females TRANS, mean age TRANS 64.4±11.0 years) with COVID-19 pneumonia HP eumonia w MESHDho were admitted to two different clinical centers. Their clinical and medical records were analyzed, and the chest CT images were assessed to determine the involvement of lobes and the distribution of lesions in the lungs between the patients who recovered from the illness and those who died.Results Patients were significantly older in the death group (10/60, 16.67%) than in the recovery group (50/60, 83.33%) (p=0.044). C-reactive protein (CRP) (67.9±50.5 mg/L) was significantly elevated in the death group as opposed to the recovery group (p<0.001). The neutrophil-to-lymphocyte ratio (NLR) was higher in the death group when compared with the recovery group (p=0.030). Involvement of five lung lobes was found in 98% of the patients, with medial or parahilar area involvement observed in all the de ath p MESHDatients. Ground-glass opacities (97%), crazy-paving pattern (92%) and air bronchogram (93%) were the most common radiological findings. Presence of emphysema HP physema w MESHDas more prevalent in the death group than in the recovery group (30% vs 2%, p=0.011).Conclusions The degree of lung involvement and lesion distribution with dominance in the medial and parahilar pulmonary areas were more severe in the de ath p MESHDatients than in those who recovered. Patient’s age TRANS, emphysema HP physema, MESHDCRP and NLR could be combined with CT to predict the disease outcomes.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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