Diffusion capacity abnormalities for carbon monoxide in patients with COVID-19 at 3-month follow-up.

OBJECTIVE: To evaluate pulmonary function and clinical symptoms in coronavirus disease 2019 (COVID-19) survivors within 3 months after hospital discharge, and to identify risk factors associated with impaired lung function. METHODS AND MATERIAL: COVID-19 patients were prospectively followed-up with pulmonary function tests and clinical characteristics for 3 months following discharge from a hospital in Wuhan, China between January and February 2020. RESULTS: 647 patients were included. 87 (13%) patients presented with weakness, 63 (10%) with palpitations and 56 (9%) with dyspnoea. The prevalence of each of the three symptoms were markedly higher in severe patients than nonsevere patients (19% versus 10% for weakness, p=0.003; 14% versus 7% for palpitations, p=0.007; 12% versus 7% for dyspnoea, p=0.014). Results of multivariable regression showed increased odds of ongoing symptoms among severe patients (OR 1.7, 95% CI 1.1-2.6; p=0.026) or patients with longer hospital stays (OR 1.03, 95% CI 1.00-1.05; p=0.041). Pulmonary function test results were available for 81 patients, including 41 nonsevere and 40 severe patients. In this subgroup, 44 (54%) patients manifested abnormal diffusing capacity of the lung for carbon monoxide (D LCO) (68% severe versus 42% nonsevere patients, p=0.019). Chest computed tomography (CT) total severity score >10.5 (OR 10.4, 95% CI 2.5-44.1; p=0.001) on admission and acute respiratory distress syndrome (ARDS) (OR 4.6, 95% CI 1.4-15.5; p=0.014) were significantly associated with impaired D LCO. Pulmonary interstitial damage may be associated with abnormal D LCO. CONCLUSION: Pulmonary function, particularly D LCO, declined in COVID-19 survivors. This decrease was associated with total severity score of chest CT >10.5 and ARDS occurrence. Pulmonary interstitial damage might contribute to the imparied D LCO.

Clinical Research on the Aortic Elasticity in Patients with Type 1 Diabetes Mellitus Complicated with Hypertension.

OBJECTIVE: To investigate the characteristics of aortic elasticity in type 1 diabetes mellitus (DM1) patients with hypertension using dual-source computed tomography (DSCT). METHODS: Subjects were divided into four groups: 31 with hypertension (EH group), 28 with DM1 (DM1 group), 30 with hypertension and DM1 (DM1 + EH group), and 30 healthy volunteers (control group, CG). ECG-gated DSCT was used to measure the cross-sectional area of the aorta in diastole and systole and calculate the aortic elasticity (D). Analysis of variance and multiple linear regression were used for statistical analysis. RESULTS: Compared with the CG, aortic elasticity (D) in the DM1 group patients was not significantly decreased. Compared with the EH group, the DM1 + EH group showed no significant change. The aortic elasticity (D) in the EH and DM1 + EH groups was significantly lower than that in the CG and DM1 group. CONCLUSION: DM1 slightly affects the aortic elasticity of the descending aorta, whereas hypertension exerts the main effect.

Statistical properties and pre-hit dynamics of price limit hits in the Chinese stock markets.

Price limit trading rules are adopted in some stock markets (especially emerging markets) trying to cool off traders' short-term trading mania on individual stocks and increase market efficiency. Under such a microstructure, stocks may hit their up-limits and down-limits from time to time. However, the behaviors of price limit hits are not well studied partially due to the fact that main stock markets such as the US markets and most European markets do not set price limits. Here, we perform detailed analyses of the high-frequency data of all A-share common stocks traded on the Shanghai Stock Exchange and the Shenzhen Stock Exchange from 2000 to 2011 to investigate the statistical properties of price limit hits and the dynamical evolution of several important financial variables before stock price hits its limits. We compare the properties of up-limit hits and down-limit hits. We also divide the whole period into three bullish periods and three bearish periods to unveil possible differences during bullish and bearish market states. To uncover the impacts of stock capitalization on price limit hits, we partition all stocks into six portfolios according to their capitalizations on different trading days. We find that the price limit trading rule has a cooling-off effect (object to the magnet effect), indicating that the rule takes effect in the Chinese stock markets. We find that price continuation is much more likely to occur than price reversal on the next trading day after a limit-hitting day, especially for down-limit hits, which has potential practical values for market practitioners.