ABSTRACT
BackgroundIn December 2019, a novel coronavirus disease (COVID-19) broke out in Wuhan, China, however, the factors affecting the mortality remain unclear. MethodsThirty-two days of data that were shared by China National Health Commission and China Weather Net were collected using standard forms. The difference in the mortality of confirmed and severe cases before and after the use of "Fangcang, Huoshenshan, and Leishenshan" makeshift hospitals (MSHs) was tested using Mann-Whitney U test. We also studied whether air temperature (AT) could affect the above outcomes of COVID-19 cases by performing Spearmans analysis. ResultsThe mortality of confirmed cases was significantly decreased both in Wuhan (U = 1, P < 0.001) and Hubei (U = 0, P < 0.001), while in non-Hubei regions, as a contrast, the mortality of confirmed cases remained unchanged (U = 40, P = 0.139). However, another eight days later, changes in the mortality in non-Hubei regions also became significant (U = 73, P = 0.039). Mortality of confirmed cases was found to be significantly correlated with AT both in Wuhan (r = -0.441, P = 0.012) and Hubei (r = -0.440, P = 0.012). ConclusionsOur findings indicated that both the use of MSHs and the rise of AT were beneficial to the survival of COVID-19 cases.
ABSTRACT
Objective To investigate the levels of IL-18,Th1(IL-2,TNF-?) and Th2(IL-4,IL-10) in patients with lung cancer and their relation to clinical pathological stages.Methods Totally 109 lung cancer patients were of 45 squamous cancer,40 adenocarcinoma,18 small cell lung cancer and 6 large cell carcinoma.Serum levels of IL-18,TNF-?,IL-2,IL-4 and IL-10 were determined by using an ELISA assay in 109 lung cancer patients and in 30 normal people.Results The levels of IL-18,TNF-? and IL-2 were significantly lower and the levels of IL-4 and IL-10 were significantly higher in lung cancer patients than in controls(P
