Objective To investigate the association of two functional polymorphisms of tryptophan hydroxylase 2(THP2) gene,rs4570625 and rs4565946,with poststroke anxiety disorders.Methods Totally 112 poststroke anxiety patients and 246 non-anxious stroke controls were included and completed Hamilton Anxiety Rating Scale.DNA was extracted from blood and genotyped for the two polymorphisms of THP2 gene by polymorphism chain reaction.Results The G allele of rs4570625 was associated with the increased risk of poststroke anxiety.Both the GG genotype and G allele were observed to be significantly higher in female case than in control.No significant difference in genotype and allele firequencies of the rs4565946 was found among the groups.Patients with the G-C haplotype had significantly increased the risk of poststroke anxiety compared to controls.Conclusions Our findings suggest that these ftmctional polymorphisms in TPH2 gene may be involved in development of poststroke anxiety.

Objective To establish an artificial intelligence deep learning model using clinical colonoscopy images and video to assist the diagnosis by colonoscopy. Methods More than 600000 colonoscopy images were collected in endoscopic center of the Second Affiliated Hospital of Zhejiang University School of Medicine from 2014 to 2018, and endoscopic experts recorded a large number of high-quality operation video of colonoscopy as analysis data. After repeated discussion by six experts, the classified intestinal sites and pathological features were determined, and fuzzy and confusable images were deleted. The final selection result was approximately 1 out of 4. And then the features of images were marked using an independently developed software. The deep learning algorithm was developed using TensorFlow platform of Google. Results After repeated comparison and analysis of the results of machine training and judgment results combined with pathology from endoscopic experts, the sensitivity of the model for some diseases ( such as colon polyps) was 99％ under laboratory conditions. In the clinical colonoscopy test, the sensitivity, specificity, and overall accuracy of this model for diagnosis of colon polyps were 98. 30％(4187/4259), 88. 10％ (17620/20000), and 92. 92％ [2×98. 30％×88. 10％/(98. 30％+88. 10％)], respectively. The sensitivity and specificity for ulcerative colitis were 78. 32％ ( 2671/3410) , and 67. 06％(13412/20000), respectively. The diagnosis time spent on a single image was 0. 5±0. 03 s, and it was the real time for application, including system recognition, text prompt in video image, background record and storage. Conclusion The artificial intelligence assisted diagnosis model developed by our team can identify colonic polyps, colorectal cancer, colorectal eminence, colonic diverticulum, ulcerative colitis, etc. The auxiliary diagnosis model of colon disease can guide beginners to carry out colonoscopy, and can improve lesion detection rate, reduce misdiagnosis rate, and improve the overall operating efficiency of endoscopic center, which is conducive to the quality control of colonoscopy.

Objective:To compare the efficacy and safety between WangShiBaoChiWan and mosapride in the treatment of functional dyspepsia (FD).Methods:From September 2019 to September 2020, patients with postprandial fullness and early satiation who met the Rome Ⅳ criteria for FD diagnosis were enrolled from 15 hospitals, including the First Affiliated Hospital of Naval Medical University (Shanghai Changhai Hospital), Beijing Traditional Chinese Medicine Hospital Affiliated to Capital Medical College. The subjects were randomly divided into WangShiBaoChiWan (experimental) group and mosapride (control) group in the ratio of 1∶1. The treatment regimens were WangShiBaoChiWan+ mosapride simulator, WangShiBaoChiWan simulator+ mosapride, respectively with a treatment period of 2 weeks. The primary efficacy outcome was the improvement rates of main symptoms before and after treatment, the secondary efficacy primary efficacy outcome was the total clinical effective rate and the change of the single symptom score. And the safety indicator included adverse events. Independent sample t-test, paired t-test and chi-square test were used for statistical analysis. Results:A total of 251 FD patients were enrolled in the full analysis set, including 124 in the experimental group and 127 in the control group; 241 FD patients were in the per-protocol analysis set, including 117 in the experimental group and 124 in the control group. The analysis of per-protocol analysis set showed that the improvement rates of the main symptoms of the experimental group and the control group were (66±29)% and (60±30)%, respectively, and the difference was not statistically significant ( P>0.05). The improvement rate of the main symptoms of the experimental group reached 117% of that of the control group, which exceeded the expected non-inferiority standard of 80%. The total clinical effective rates of the experimental group and the control group were 76.07% (89/117) and 75.81% (94/124), respectively, and the difference was not statistically significant ( P>0.05). The results of full analysis set showed that the incidence of adverse events of the experimental group and the control group was 1.62% (2/124) and 1.57% (2/127), respectively, and the difference was not statistically significant ( P>0.05). There were no serious adverse events in the two groups. Conclusion:The improvement rate of the main symptoms of WangShiBaoChiWan is not inferior to that of mosapride in the treatment of FD, and it has good safety.