Chunliang Lei

TL;DR: During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness, and patients often presented without fever, and many did not have abnormal radiologic findings.

TL;DR: The 2019-nCoV epidemic spreads rapidly by human-to-human transmission and the disease severity (including oxygen saturation, respiratory rate, blood leukocyte/lymphocyte count and chest X-ray/CT manifestations) predict poor clinical outcomes.

TL;DR: Comorbidities are present in around one fourth of patients with COVID-19 in China, and predispose to poorer clinical outcomes, and have significantly escalated risks of reaching to the composite endpoint compared with those who had a single comorbidity.

TL;DR: In discharged survivors with COVID-19, impairment of diffusion capacity is the most common abnormality of lung function, followed by restrictive ventilatory defects, which are both associated with the severity of the disease.

TL;DR: The proposed nomogram accurately predict clinical outcomes of patients with COVID-19 based on individual characteristics and has sufficient discriminatory power with the C-index of 0.91.