A novel coronavirus pneumonia, first identified in Wuhan City and referred to as COVID-19 by the World Health Organization, has been quickly spreading to other cities and countries. To control the epidemic, the Chinese government mandated a quarantine of the Wuhan city on January 23, 2020. To explore the effectiveness of the quarantine of the Wuhan city against this epidemic, transmission dynamics of COVID-19 have been estimated. A well-mixed "susceptible exposed infectious recovered" (SEIR) compartmental model was employed to describe the dynamics of the COVID-19 epidemic based on epidemiological characteristics of individuals, clinical progression of COVID-19, and quarantine intervention measures of the authority. Considering infected individuals as contagious during the latency period, the well-mixed SEIR model fitting results based on the assumed contact rate of latent individuals are within 6-18, which represented the possible impact of quarantine and isolation interventions on disease infections, whereas other parameter were suppose as unchanged under the current intervention. The present study shows that, by reducing the contact rate of latent individuals, interventions such as quarantine and isolation can effectively reduce the potential peak number of

In this study we report on the clinical and autoimmune characteristics of severe and critical novel coronavirus pneumonia caused by severe acute respiratory syndrome-associated coronavirus 2 (SARS-CoV-2). The clinical, autoimmune, and laboratory characteristics of 21 patients who had laboratory-confirmed severe and critical cases of coronavirus disease 2019 (COVID-19) from the intensive care unit of the Huangshi Central Hospital, Hubei Province, China, were investigated. A total of 21 patients (13 men and 8 women), including 8 (38.1%) severe cases and 13 (61.9%) critical cases, were enrolled. Cough (90.5%) and fever (81.0%) were the dominant symptoms, and most patients (76.2%) had at least one coexisting disorder on admission. The most common characteristics on chest computed tomography were ground-glass opacity (100%) and bilateral patchy shadowing (76.2%). The most common findings on laboratory measurement were lymphocytopenia (85.7%) and elevated levels of C-reactive protein (94.7%) and interleukin-6 (89.5%). The prevalence of anti-52 kDa SSA/Ro antibody, anti-60 kDa SSA/Ro antibody, and antinuclear antibody was 20%, 25%, and 50%, respectively. We also retrospectively analyzed the clinical and laboratory data from 21 severe and critical cases of COVID-19. Autoimmune phenomena exist in COVID-19 subjects, and the present results provide the rationale for a strategy of preventing immune dysfunction and optimal immunosuppressive therapy.

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Background: Differences in microRNA (miRNA) profiles between patients with and without coronary heart disease (CHD)have not been fully determined. The purpose of the study was to evaluate in a multi-ethnic population in China the predictive value of miRNAs previously suggested to have a role in CHD. Subject and method: 932 participants were included, and plasma samples obtained. A quantitative reverse-transcription PCR(RT-qPCR) assay was conducted to confirm the concentration of plasma miRNAs. Circulating levels of miRNAs were quantified using the 2^-Δct method. The severity of coronary atherosclerosis was evaluated via Gensini Scores. Result: The circulating levels of the nine proposed miRNAs were not different among the five main ethnicities examined (all p > 0.05). The Spearman correlation analyses indicated that miR-221 and miR-130a were negatively associated with the severity of CHD as indicated by Gensini Scores (r = -0.106, p = 0.001;r = -0.073, p = 0.026). Results of the univariate analysis showed that lower circulating miR-221 (OR, 1.663; 95 % CI, 1.255-2.202, p = <0.001), miR-155 (OR, 1.520; 95 % CI, 1.132-2.042, p = 0.005), and miR-130a (OR, 1.943; 95% CI, 1.410-2.678, p = <0.001) were potential risk factors for CHD. Moreover, miR-130a (OR, 2.405; 95 % CI, 1.691-3.421, p = <0.001) remained independently associated with the risk of CHD after adjusting for potential confounding factors. The analysis of the possible positive/negative associations between miR-221, miR-155 and miR-130awere conducted. A positive association between miR-130a and miR-155 was found (SI = 1.60, SIM = 1.21 and AP = 0.22), and in these groups, the proportion of CHD attributable to the interaction between miR-130a and miR-155 was as high as 22 %. A negative interaction was found between miR-221 and miR-130a (SI = 0.68, SIM = 0.60 and AP = 0.27). Conclusion: Plasma levels of miR-221, miR-130a and miR-155 decreased in patients with CHD, and miR-130a may be an independent predictor for CHD.

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Background: The diameters of the coronary arteries have been suggested to be a potential predictor of coronary artery disease (CAD). However, whether the diameters of the coronary arteries are associated with the coronary lesion severity on angiography has not been determined. Methods: One hundred sixty-seven consecutive adult patients (109 men and 58 women) aged 31–84 years who underwent coronary angiography for suspected or known CAD were enrolled. The known catheter tip diameter was used as the calibration to measure the diameters of coronary arteries, and the severity of coronary lesions was evaluated with the vessel score and Gensini score. Results: In patients with a higher vessel score and Gensini score, the diameters of the left main (LM), left anterior descending (LAD), left circumflex (LCX), and right coronary arteries (RCA) were smaller (all p<0.05) than those in patients with lower scores. Multiple linear regression analysis indicated that the average coronary artery diameter was significantly associated with the Gensini score (β=-0.444, p<0.00001). Moreover, the diameters of the coronary arteries were potential predictors of CAD, with areas under the receiver operating characteristic curves of 0.268 for average diameter (95% confidence interval [CI]: 0.183–0.353, p<0.00001), 0.356 for the LM diameter (95% CI: 0.266–0.445, p=0.005), 0.214 for the LAD diameter (95% CI: 0.136–0.291, p<0.00001), 0.366 for the LCX diameter (95% CI: 0.271–0.461, p=0.009), and 0.346 for the RCA diameter (95% CI: 0.245–0.447, p=0.003). Conclusion: The diameters of coronary arteries are inversely associated with the severity of CAD.

Aims: We evaluated the synergistic effect of lipoprotein-associated phospholipase A2 (Lp-PLA2) in association with classical risk factors in predicting coronary heart disease (CHD) and demonstrated the diagnostic value of Lp-PLA2 for predicting coronary stenotic lesions in subjects with CHD. Methods: Blood samples were acquired from 911 consecutive adult subjects (662 males and 249 females) from 11 ethnic groups. Lp-PLA2 plasma levels were detected using a commercially available turbidimetric immunoassay (TIA). CHD in patients was confirmed using coronary angiography, and the severity of coronary atherosclerosis was assessed using the Gensini scoring system. Results: A binary logistic regression was performed to analyse the relationships between Lp-PLA2 and other risk factors. A multivariate logistic regression analysis revealed that Lp-PLA2 levels were significantly associated with CHD (OR, 1.882; 95% CI, 1.369-2.587, p=0.000).The area under the receiver operating characteristic curve for Lp-PLA2 was 0.589 (95%CI, 0.549-0.629, p=0.000).The synergism between Lp-PLA2 and other risk factors was also investigated. The proportion of CHD attributable to the interaction between Lp-PLA2 and age was as high as 64%. Conclusions: Lp-PLA2 levels in human plasma were positively associated with the severity of CHD, and there was a clear positive interaction between Lp-PLA2 and classical risk factors in predicting CHD.

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