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1.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-933704

RESUMO

Objective:To analysis of clinical and imaging characteristics of pulmonary cryptococcosis.Methods:The clinical and imaging characteristics of 113 patients with pulmonary cryptococcosis who were admitted to the Second Affiliated Hospital of Zhejiang University School of Medicine from January 2014 to March 2019, were retrospectively analyzed.Results:Among 113 patients, 74 cases (65.5%) were males, and 71 cases (62.8%) were at a age of 40-60 years. The imaging manifestations showed a nodular-infiltrating patchy mixed type ( n=44,38.9%), accompanied by halo sign ( n=48, 42.5%) and bronchial air sign ( n=48, 42.5%). All patients were treated with fluconazole and the follow-up at 3 months after discharge showed their conditions were all improved. Subgroup analysis showed that patients with complications had older average age [(54.28±10.64)y vs. (46.52±12.12)y, t=-5.05, P<0.001], longer hospital stay [(10.42±6.11)d vs. (7.09±5.63)d, t=-4.28, P=0.007], lower white blood cell count [(6.02±2.16)×10 9/L vs. (6.96±2.29)×10 9/L, t=2.44, P=0.027]. The symptomatic group had fewer male patients [56.2% (45/80) vs. 87.9% (29/33), χ 2=19.54, P<0.001], and imaging was more likely to show infiltrative patchy [32.5%(26/80) vs. 9.1%(3/33), χ 2=18.25, P=0.031]. There was no significant difference in clinical and imaging manifestations between antigen positive group and antigen negative group(all P>0.05). Conclusions:Most of the patients with pulmonary cryptococcosis are middle-aged men, and have nodular-infiltrating patchy mixed type in imaging; the complications would prolong the length of hospital stay.

2.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20027623

RESUMO

BACKGROUNDThe COVID-19 epidemic, first emerged in Wuhan during December 2019, has spread globally. While the mass population movement for Chinese New Year has significantly influenced spreading the disease, little direct evidence exists about the relevance to epidemic and its control of population movement from Wuhan, local emergency response, and medical resources in China. METHODSSpearmans correlation analysis was performed between official data of confirmed COVID-19 cases from Jan 20th to Feb 19th, 2020 and real-time travel data and health resources data. RESULTSThere were 74,675 confirmed COVID-19 cases in China by Feb 19th, 2020. The overall fatality rate was 2.84%, much higher in Hubei than in other regions (3.27% vs 0.73%). The index of population inflow from Hubei was positively correlated with total (Provincial r=0.9159, p<0.001; City r=0.6311, p<0.001) and primary cases (Provincial r=0.8702, p<0.001; City r=0.6358, p<0.001). The local health emergency measures (eg, city lockdown and traffic control) were associated with reduced infections nationwide. Moreover, the number of public health employees per capita was inversely correlated with total cases (r=-0.6295, p <0.001) and infection rates (r =-0.4912, p <0.01). Similarly, cities with less medical resources had higher fatality (r =-0.4791, p<0.01) and lower cure rates (r = 0.5286, p<0.01) among the confirmed cases. CONCLUSIONSThe spread of the COVID-19 in China in its early phase was attributed primarily to population movement from Hubei, and effective governmental health emergency measures and adequate medical resources played important roles in subsequent control of epidemic and improved prognosis of affected individuals.

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