Corpus overview


Overview

MeSH Disease

Human Phenotype

Transmission

Seroprevalence

There are no seroprevalence terms in the subcorpus

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    Computed Tomography Findings and Short-term follow-up with Novel Coronavirus Pneumonia HP

    Authors: Shi Qi; Hui Guo; Hua Shao; Siqin Lan; Yuanlin He; Maijudan Tiheiran; Hongjun Li

    doi:10.1101/2020.04.02.20042614 Date: 2020-04-04 Source: medRxiv

    Objective: To assess the characteristics of computed tomography (CT) features and changes in CT monitoring in patients with novel coronavirus pneumonia HP (NCP) . Methods: In this retrospective, two-center study, we reviewed the medical records of 57 patients with NCP in CT from January 21 to February 12, 2020. Cases were confirmed TRANS by the results of nucleic acid test positive, and were analyzed for demographic, clinical, and CT features. Results: Of the 57 patients, 31cases were male TRANS, and 45.6% were female TRANS. The average age TRANS was 46.5 years. Patients had fever HP (84.2%), cough HP (49.1%), weak (31.6%), muscle ache (17.5%), shortness of breath (12.3%). The distribution of abnormality was a subpleural lesions in 51 cases, with 96.5% ground-glass opacity (GGO) and 68.4% consolidation. Another observation reveals 45.6% fibrosis, 33.3% lymph node enlargement, 21.1% pleural thickening HP, 17.5% small nodule, 7.0% white lung, 5.3% emphysema HP, and 3.5% bronchiectasis HP. Importantly, the group of men had more septal thickening and air trapping than the female TRANS group (p < 0.05); Compared with the younger, the elderly TRANS had higher of subpleural lesion, interlobular septal thickening and pleural HP thickening (p < 0.05). In the first monitoring, there were 37.3% improvement, 60.8% progress. In the second monitoring, there were 55% improvement, 35% progress. The improvement rate during the third follow-up visit was 100%. Conclusions: CT features and CT dynamic observation play a vital role in the diagnosis and treatment with NCP. It is conducive to early diagnosis, deepen the knowledge of NCP and accumulate experience.

    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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