Objective To review and sum up cardiopulmonary bypass(CPB)management for aortic arch surgery.Methods All of the 42 patients were scheduled for aortic arch surgery with deep hypothermic circulatory arrest(DHCA)plus selective cerebral perfusion(SCP)techniques.The technique of double arterial lines with single pump head was employed for all of the patients,too.An arterial perfusion cannula was inserted into the femoral artery for cardiopulmonary bypass and the right subclavian artery was also cannulated for selective cerebral perfusion for 28 patients.1～3 aerocyst catheter was/were inserted into brachiocephalic trunk for cerebral perfusion when circulation was arrested for the other 14 patients.Results One patient could not regain consciousness after operation and WaS discharged a week after operation for whose relatives gave up the treatment.One patient'S innominate artery was occluded on the seventh day after operation and who suffered with a coma caused by cerebral infarction.The other patients experienced an uneventful recovery and discharge without any one complication relating to cardiopulmonary bypass.Conclusion The technique of DHCA plus SCP iS safe and effective in the surgery of aortic arch.

Objective: This study aims to estimate the economic burden of disease of outbreak of norovirus gastroenteritis in the Pearl River Delta Region, and provide scientific evidence for the government’s decision-making and control measures. Methods: Using a unified questionnaire, a survey was conducted to the schools and students’ families which had suffered an outbreak of norovirus gastroenteritis in the Pearl River Delta Region from October 2017 to April 2018. Results: The survey found that the mean total economic burden of sick students was 720.41(95%UI=640.45-804.63)RMB. The mean economic burden of sick students who were inpatient, outpatient and self-treatment were 1 712.75(95%UI=328.50-34 00.00), 213.70(95%UI=191.83-236.33) and 58.97(95%UI=43.00-77.69)RMB, respectively. The mean economic burden of transport, extra tutoring and cost of lost labor were 53.63(95%UI=43.98-63.58), 558.49(95%UI=381.40-774.01) and 695.62(95UI=630.25-767.29)RMB. The mean total economic burden of health students was 382.62(95%UI=343.29-424.45)RMB. The mean total economic burden of school was 49 264.53(95%UI=22 363.38-79 976.25)RMB. The total economic burden of disease increases as the level of outbreak increases. The larger the epidemic level, the proportion of sick students’ financial burden gradually decreased, 56.58%,23.27% and 10.93%. Conclusion The high economic burden of disease of norovirus gastroenteritis in the Pearl River Delta Region, respectively, indicating that relevant departments should strengthen the prevention, control and education in order to mitigate the disease economic burden.

Objective    To explore the efficacy of artificial intelligence (AI) detection on pulmonary nodule compared with multidisciplinary team (MDT) in regional medical center. Methods    We retrospectively analyzed the clinical data of 102 patients with lung nodules in the Xiamen Fifth Hospital from April to December 2020. There were 57 males and 45 females at age of 36-90 (48.8±11.6) years. The preoperative chest CT was imported into AI system to record the detected lung nodules. The detection rate of pulmonary nodules by AI system was calculated, and the sensitivity, specificity of AI in the different diagnosis of benign and malignant pulmonary was calculated and compared with manual film reading by MDT. Results    A total of 322 nodules were detected by AI software system, and 305 nodules were manually detected by physicians (P<0.05). Among them, 113 pulmonary nodules were diagnosed by pathologist. Thirty-eight of 40 lung cancer nodules were AI high-risk nodules, the sensitivity was 95.0%, and 25 of 73 benign nodules were AI high-risk nodules, the specificity was 65.8%. Lung cancer nodules were correctly diagnosed by MDT, but  benign nodules were still considered as  lung cancer at the first diagnosis in 10 patients. Conclusion    AI assisted diagnosis system has strong performance in the detection of pulmonary nodules, but it can not content itself with clinical needs in the differentiation of benign and malignant pulmonary nodules. The artificial intelligence system can be used as an auxiliary tool for MDT to detect pulmonary nodules in regional medical center.