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ObjectiveExplore best upper respiratory tract sampling time of suspected novel coronavirus pneumonia cases. MethodsWe collected dates of patients from Hangzhou, Shenzhen, Jinhua city and so on who had the clear exposure history of a novel coronavirus pneumonia(COVID-19). We retrospected demographic data, exposure time, onset time, visiting time and positive time for novel coronavirus nucleic acid detection in respiratory specimens. There were 256 patients from January 20,2020-February 12,2020 from eight cities included in our study. 106 cases appeared symptoms before January 25th and 150 after. ResultsThere were 136(53.1%)male infected cases. The mean age of all patients was 43.80{+/-}14.85. The median time from exposure to onset was 5(3,8) days. The median time of the first time of positive nucleic acid detection was 11(9,14)days and mode number was 13. The median time from onset to the first time of positive nucleic acid detection was 6(4,8)days and mode number was 5. The time from onset to definite diagnosis was 5(3,7) days before January 25th while it was 7.5(5,10)days after which was significantly shorter before January 25th(U=3885.5,P<0.001). The time from exposure to definite diagnosis was 11(9,14)days and 11(9,14)days before January 25th and after and without significant difference. The time from exposure to definite diagnosis was 11(9,13)days in first-tier cities and 13(11,15)days in second and third-tier cities. The difference was significantly shorter of first-tier cities(U=1355.5, P=0.039). And also the time was short from visiting to definite diagnosis which was 2(2,3)days in first-tier cities and 3(2,4)days in second and third-tier cities but without significant difference(U=842.5, P=0.054). ConclusionsFrom our study we found that the best upper respiratory tract sampling time for novel coronavirus pneumonia suspects was 13days after exposure. The time from onset to definite diagnosis was shorter after January 25th. The patients were diagnosed faster in the first-tier cities after exposure.
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Objective To examine the short-term prognostic value of procalcitonin ( PCT ) combined with coagulation factors for cirrhotic patients complicated with spontaneous bacterial peritonitis (SBP).Methods Clinical data of 128 cirrhotic patients complicated with SBP admitted in Jinhua Central Hospital from June 2014 to October 2017 were retrospectively analyzed .In 3 months after admission , 83 patients survived ( survival group ) and 45 patients died ( fatal group ) .The factors related to prognosis were analyzed with Logistic regression and the prediction model was constructed with the weights derived from regression coefficients.The ROC curve and the area under the curve (AUC) of combination of PCT with coagulation factors were used to predict the survival of patients .Results Univariate analysis indicated that the level of PCT , total bilirubin ( TBil ) , serum creatinine ( Scr ) , prothrombin time ( PT ) , prothrombin activity ( PTA ) , blood coagulation factor Ⅱ, Ⅴ, Ⅶ, Ⅸ, Ⅹ, Ⅺ and Ⅻ were factors affecting the prognosis of cirrhotic patients complicated with SBP (P<0.01).Multivariate analysis showed that PCT , blood coagulation factors Ⅴ and Ⅸ were independent factors of short-term prognosis of cirrhotic patients complicated with SBP.The constructed predictive model was Logit (P) =1.200+0.099 ×PCT-0.026 × clotting factor Ⅴ-0.038 ×clotting factor Ⅸ.The sensitivity and specificity of the model were 0.822 and 0.675, respectively, and the AUC was 0.829.Compared with the classic MELD score , the difference was not statistically significant (P>0.05).Conclusions The predictive model based on PCT and coagulation factors Ⅴand Ⅸcan effectively predict the short-term survival of cirrhotic patients complicated with SBP . The overall prognostic ability is not different from MELD score , but the model is more simple and easier to apply.
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Objective To observe the effect of transforming growth factor-β1 (TGF-β1) vaccine on the degree of hepatic fibrosis in rats ,and to explore the effect of TGF-β1 vaccine on the insulin-like growth factor binding protein (IGFBP)3 and IGFBP7 .Methods The hepatic fibrosis rat model was set up by injecting N-nitrosodimethylamine . Among them , 10 rats were injected with TGF-β1 vaccine , and additional 10 rats were set up as healthy control group .Changes in hepatic pathology were observe and the expressions of IGFBP3 and IGFBP7 were detected by the methods of immunohistochemistry , reverse transcription polymerase chain reaction (RT-PCR) and Western blot in rat fibrosis tissues after 6 weeks . Normality test and analysis of variance were conducted .LSD test was conducted if variances were tested homogeneity .Categorical data were analyzed using Fisher exact test . Results Changes in hepatic histology and serum levels of hyaluronic acid and laminin suggested that TGF-β1 vaccine interventions could reduce the extent of hepatic fibrosis in rats .The expressions of IGFBP3 mRNA in control group ,hepatic fibrosis model group and vaccine intervention group were 1 .735 ± 0 .097 ,1 .165 ± 0 .096 and 1 .491 ± 0 .046 ,respectively (t= 4 .575 ,6 .285 and 8 .489 ,respectively ,all P< 0 .05) .The expressions of IGFBP7 in the above three groups were 0 .497 ± 0 .021 ,1 .250 ± 0 .064 and 0 .885 ± 0 .149 ,respectively (t= 5 .161 ,30 .101 and 7 .250 , respectively ,all P < 0 .05 ) . Immunohistochemistry proved that the expressions of IGFBP7 in fibrosis model group and TGF-β1 vaccine group were all significantly higher than control group ;and the expressions of IGFBP3 in fibrosis model group and TGF-β1 vaccine group were all significantly lower than control group .The expressions of IGFBP3 protein in control group , hepatic fibrosis model group and vaccine intervention group were 7 .508 ± 0 .357 ,5 .200 ± 0 .210 and 5 .751 ± 0 .178 ,respectively (t = 7 .622 ,6 .180 and 29 .156 , respectively ,all P < 0 .05) . The expressions of IGFBP7 were 1 .176 ± 0 .051 ,1 .735 ± 0 .115 and 1 .428 ± 0 .056 ,respectively (t = 7 .188 ,4 .827 and 8 .649 ,respectively ,all P< 0 .05) .Conclusion TGF-β1 vaccine can affect the expressions of IGFBP3 and IGFBP7 ,which plays an important role in the formation and development of hepatic fibrosis .
