ABSTRACT
To evaluate the chest computed tomography (CT) findings of patients with Corona Virus Disease 2019 (COVID-19) on admission to hospital. And then correlate CT pulmonary infiltrates involvement with the findings of emphysema. We analyzed the different infiltrates of COVID-19 pneumonia using emphysema as the grade of pneumonia. We applied open-source assisted software (3D Slicer) to model the lungs and lesions of 66 patients with COVID-19, which were retrospectively included. we divided the 66 COVID-19 patients into the following two groups: (A) 12 patients with less than 10% emphysema in the low-attenuation area less than -950 Hounsfield units (%LAA-950), (B) 54 patients with greater than or equal to 10% emphysema in %LAA-950. Imaging findings were assessed retrospectively by two authors and then pulmonary infiltrates and emphysema volumes were measured on CT using 3D Slicer software. Differences between pulmonary infiltrates, emphysema, Collapsed, affected of patients with CT findings were assessed by Kruskal-Wallis and Wilcoxon test, respectively. Statistical significance was set at p < 0.05. The left lung (A) affected left lung 20.00/affected right lung 18.50, (B) affected left lung 13.00/affected right lung 11.50 was most frequently involved region in COVID-19. In addition, collapsed left lung, (A) collapsed left lung 4.95/collapsed right lung 4.65, (B) collapsed left lung 3.65/collapsed right lung 3.15 was also more severe than the right one. There were significant differences between the Group A and Group B in terms of the percentage of CT involvement in each lung region (p < 0.05), except for the inflated affected total lung (p = 0.152). The median percentage of collapsed left lung in the Group A was 20.00 (14.00-30.00), right lung was 18.50 (13.00-30.25) and the total was 19.00 (13.00-30.00), while the median percentage of collapsed left lung in the Group B was 13.00 (10.00-14.75), right lung was 11.50 (10.00-15.00) and the total was 12.50 (10.00-15.00). The percentage of affected left lung is an independent predictor of emphysema in COVID-19 patients. We need to focus on the left lung of the patient as it is more affected. The people with lower levels of emphysema may have more collapsed segments. The more collapsed segments may lead to more serious clinical feature.
ABSTRACT
BACKGROUND AND AIMS: Patients with multiple metabolic diseases are at high risk for the occurrence and death of COVID-19. Little is known about patients with underweight and metabolically healthy obesity. The aim of this study is to evaluate the impact of BMI and COVID-19 mortality in hospitalized patients, and also explore the association in different metabolically healthy (MHS) and unhealthy status (MUS). METHODS AND RESULTS: A retrospective cohort study based on 3019 inpatients from Wuhan was conducted. Included patients were classified into four groups according the BMI level (underweight, normal weight, overweight and obesity), and patients with at least one of the metabolic abnormalities (diabetes, hypertension, dyslipidemia) was defined as MUS. Multiple Cox model was used to calculate the hazard ratio (HR). Compared to patients with normal weight, the HRs of overweight and obesity for COVID-19 mortality were 1.91 (95%CI:1.02-3.58) and 2.54 (95%CI:1.22-5.25) respectively in total patients, and 2.58 (95%CI:1.16-5.75) and 3.89 (95%CI:1.62-9.32) respectively in the elderly. The HR of underweight for COVID-19 mortality was 4.58 (95%CI:1.56-13.48) in the elderly. For different metabolic statuses, both underweight, overweight and obesity had obviously negative association with COVID-19 mortality in total and elderly patients with MUS. However, no significance was found in non-elderly and patients with MHS. CONCLUSION: Not only overweight or obesity, but also underweight can be associated with COVID-9 mortality, especially in the elderly and in patients with MUS. More large-scale studies are needed for patients with underweight and metabolically healthy overweight or obesity.