OBJECTIVE To investigate the effect of doxazosin(DOX) and metoprolol( MET) on vascular remodeling in rats with abdominal aorta coarctation (AAC). METHODS An animal model was established by AAC. Two weeks later, the rats were treated with DOX (10 mg.kg-1 per day) or MET (20 mg.kg-1 per day) for six weeks. Blood pressure was measured using carotid artery intubation with a MP150 polygraph. The media thickness, wall cross-sectional area and thickness / internal diameter ratio were calculated by morphometry. Vascular fibrosis was evaluated by Masson′s trichrome staining. The collagen and fibronectin expression in vascules was measured by Western blotting. RESULTS Compared with the sham group 〔(17.6±0.5)kPa〕, the mean arterial blood pressure in the model group〔(23.3±0.7)kPa〕 was significantly increased(P<0.05), but was lowered by DOX 〔(20.5±0.7)kPa〕 and MET 〔(19.0±0.4) kPa〕 (P<0.05). Moreover, HE staining showed that tunica media thickness, artery vessel area and thickness / inner diameter in the model group were increased by 39.5%, 46.4% and 27.0%(P<0.05), respectively. The tunica media thickness was decreased by 16.0% and 26.1%( P<0.05), respectively, the artery vessel area by 22.8% and 26.1%(P<0.05), respectively, and the thick-ness / inner diameter by 17.0% and 26.0%( P<0.05) when the rats were treated with DOX and MET. Masson staining showed that the collagen accumulation in vascules increased, suggesting that AAC induced fibrosis. Meanwhile, vascular fibrosis induced by AAC was also reduced by MET or DOX. Western blotting also proved that the increase of collagen and fibronectin induced by AAC could be attenuated by DOX and MET(P<0.05). CONCLUSION DOX and MET are effective in suppressing the role of norepi-nephrine in vassels, which can attenuate AAC-induced vassels remodeling by preventing the binding between norepinephrine and adrenoceptors.

Objective To make a meta-analysis of the effectiveness of hyperthermic perfusion chemotherapy (HPC) combined with bevacizumab for malignant ascites or malignant pleural effusion,and to provide the references for further practice and studies.Methods VIP,Wanfang data,PubMed and CNKI were searched from inception to January 2018.HPC combined with bevacizumab or HPC alone for malignant ascites or pleural effusion were collected for controlled clinical trial (CCT).According to inclusion and exclusion criteria,two reviewers checked studies,extracted data and assessed quality of the included studies.RevMan 5.3 software was used to make a meta-analysis.Results A total of 4 CCT involved 226 patients.Meta-analysis showed that compared with the HPC alone,HPC combined with bevacizumab had a higher rate in clinical efficiency (OR =4.82,95 ％ CI 2.45-9.49,P ＜ 0.000 01),malignant ascites or pleural effusion control rate (OR =4.06,95 ％ CI 1.09-15.11,P ＜ 0.05),quality of life improvement rate (OR =6.79,95 ％ CI 3.53-13.08,P ＜ 0.000 01),and the difference was statistically significant.Conclusion HPC combined with bevacizumab can improve the clinical effective rate,effusion control rate and quality of life improvement rate of the patients with malignant ascites or pleural effusion.

Objective: We planned to evaluate the effectiveness of moving epidemic method (MEM) in calculating influenza epidemic threshold of 7 climatic zones in China mainland. Methods: The positive rate of influenza virus was obtained from the National Influenza Surveillance Network System from 2010/2011 to 2017/2018. We divided the 31 provinces into 7 climatic zones according to previous literatures and applied MEM to calculate the influenza epidemic threshold of 2018/2019 influenza season for these climatic zones. Sensitivity, specificity, positive predictive value and negative predictive value were calculated to evaluate the effectiveness of MEM. Results: Pre-epidemic threshold (the positive rate of influenza virus) varied from 9.66% (temperate zone) to 16.36% (subtropical zone) for 2018/2019 influenza season. The gap between pre-epidemic and post-epidemic thresholds was less than 5% except for plateau zone. The sensitivity was 86.16% (95CI:66.81%-98.23%), the specificity was 94.92% (95CI: 91.13%-98.41%), the positive predictive value was 89.87% (95%CI: 84.39%-94.38%), the negative predictive value was 92.96% (95%CI: 84.46%-99.17%). Conclusion Overall, moving epidemic Method performs well in calculating influenza epidemic threshold in China, much better than the previous study.