Objective:To explore the clinical effect of Pingchuan Decoction combined with routine western medicine therapy in the treatment of acute attack of bronchial asthma in children. Methods:From January 2017 to June 2019, 118 children with acute attack of bronchial asthma were selected from the Seventh People’s Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, and they were randomly divided into control group (59 cases) and observation group (59 cases) according to the random number table. The control group was treated with routine western medicine therapy, and the observation group was treated with Pingchuan Decoction on the base of control group, and both groups were treated for 14 days. The main symptom scores before and after treatment were evaluated. The percentage of forced vital capacity expressed as percent predicted (FVC% pred) and the forced expiratory volume in 1 second expressed as percent predicted (FEV1% pred) were measured by pulmonary function meter. The levels of CD3 +, CD4 + and CD4 +/CD8 + in peripheral blood were detected by flow cytometry. The adverse reactions during the treatment were recorded and the clinical efficacy was evaluated. Results:The total clinical effective rate was 93.2% (55/59) in the observation group and 71.2% (42/59) in the control group, where the difference between the two groups was statistically significant ( χ2=9.790, P=0.002). After treatment, the scores of cough, wheezing and wheezing rale in the observation group were significantly lower than those in the control group ( t=27.695, 17.573, 32.827, P<0.001). After treatment, FVC% pred [(80.21 ± 4.06)% vs. (71.71 ± 3.95)%, t=11.526], FEV1% pred [(78.84±3.92)% vs. (72.26 ± 3.59)%, t=9.508] in the observation group were significantly higher than those in the control group ( P<0.01). The levels of CD3 + [(74.05 ± 5.13)% vs. (67.44 ± 4.98)%, t=7.101], CD4 + [(48.43 ± 4.31)% vs. (42.20 ± 4.06)%, t=8.082] and the ratio of CD4 +/CD8 + (1.67 ± 0.29 vs. 1.34 ± 0.25, t=6.620) in the observation group were significantly higher than those in the control group ( P<0.01). During the treatment, the incidence of adverse reactions was 10.2% (6/59) in the observation group and 6.8% (4/59) in the control group, and there was no significant difference between the two groups ( χ2=0.437, P=0.509). Conclusion:The Pingchuan Decoction combined with routine western medicine therapy can reduce the clinical symptoms of children with acute attack of bronchial asthma, improve lung function, improve organism immunity and clinical effect with safety.

Objective To determine the persistence time of genotype 4 hepatitis E (HE) viremia after the onset of clinical symptoms in HE patients and provide essential data for study on HE epidemiologieal transmission, so that to evaluate potential contagiousness of HE patients after clinical stage. Methods The first serum samples from 162 HE patients after hospitalized in Eastern China were collected and tested for hepatitis E virus (HEV) RNA by nested reversed transcription- polymerase chain reaction (RT-PCR). The persistence time of HEV viremia after the onset of clinical symptoms was estimated with Kaplan-Meier survival analysis. Results HEV RNA was detectable in 101 out of 162 serum samples with positive rate of 62.35%, which was all grouped to genotype 4 by homology analysis. Furthermore, HEV RNA was detectable in 74 (64.91%) out of 114 male and 27 (56.25%) out of 48 female, which was not significantly different (χ2 = 1.08, P=0. 30). Kaplan-Meier survival analysis showed that the median persistence time of HEV genotype 4 viremia was 24 days after the onset of clinical symptoms (95% CI: 18-30 days), which meant that the viremia of 50% HE patients remaining detectable up to 24 days after the onset. The 75% and 25% percentiles were 14 days and 31 days, respectively. There was no significant difference of viremia persistence time between male and female (Breslow test: P=0.98, Tarone-Ware test: P=0.91). Conclusions The viremia of 75% patients with HEV genotype 4 infection could persistent until 2 weeks after the onset of clinical symptoms and that of some patients could persistent over 1 month. It is indicated that the viremia is still persistent and HE patient could be a reservoir even after the clinical symptoms disappeared and biochemical marks normalized.

Objective:To investigate the role and mechanism of leptin on dendritic cells by NLRP3 inflammasome.Methods: BMDCs were induced in vitro,leptin with scalar doses was cocultured with BMDCs,IL-1β and IL-18 mRNA expression and protein secretion level were measured by q-RT-PCR and ELISA respectively.Caspase-1 activity or ROS synthesis were tested with FLICA kit or ROS detection assay kit on flow cytometry.IL-1β or IL-18 were detected after caspase-1 was inhibited by Ac-YVAD-cmk or NLRP3 was interfered by siRNA or ROS inhibitor DPI or KCL were added.Results: Leptin promoted secretion of IL-1β and IL-18.Leptin up-regulated NLRP3 and activted caspase-1 to secret proinflammtory cytokine,which K+ efflux took part in.Conclusion: Leptin promotes secretion of IL-1β and IL-18 by activating NLRP3 inflammasome,and K+ efflux takes part in this,which hints us that leptin may be an activator of NLRP3 inflammasome.

Objective To discuss the clinical effect of different scaffold in pulp vascular regeneration . Methods 22 young permanent teeth with periapical lesions were randomly divided into observation group and control group,11cases in each group .After the disinfection protocol was completed , the apexes of the control group were irritated to initiate bleeding to produce a blood clot to achieve pulp revascularization ,while the observation group used platelet rich plasma as physical scaffold to operate pulp revasculrization .Results In the control group , the two patients showed painful tooth at 1 and 8 months,the three patients showed healed periapical lesions and narrowed apical foramen at 12 and 18 months ,the six patients showed healed periapical lesions and closure of the apical fora -men at 12 and 18 months.In the observation group ,the three patients showed painful tooth at 1,3 and 8 months,the four patients showed healed periapical lesions and narrowed apical foramen at 12 and 18 months,the four patients showed healed periapical lesions and closure of the apical foramen at 12 and 18 months.There was no statistically significant difference between the observation group and control group by Fisher's exact probabilities (P=1.000). Conclusion Platelet rich plasma is potentially an ideal scaffold for pulp revascularization .

[Objective]This study was designed to investigate the genetic evolution of the neuraminidase(NA)gene of seasonal A/H1N1 and 2009 novel A/H1N1 inflilenza virus,and discuss the genetic variation of influenza A virus.[Methods]The virus strains were separately isolated from the clinical samples collected in 2006 and 2009,and then identified as seasonal A/H1N1 and novel A/H1N1.The full length of the NA gene of these strains was amplified by RT-PCR.Then the genetic evolution and mutations of important functional sites were analyzed.[Results]The homology of NA gene between the 2009 novel A/H1N1 isolates and 2006 seasonal A/H1N1 isolates was low(77.9%～78.8%),so was the homology of NA gene between the 2009 novel A/H1N1 isolates and representative strains of different periods and 1979-2001 WHO recommended vaccine strains(78.1%～79.3%).But compared with the WHO recommended vaccine strains of 2009 novel A/H1N1,the homology reached more than 99%.The genetic evolution analysis revealed that NA gene of 2009 novel A/H1N1 had the closest genetic relationship with the swine influenza A virus(A/swine/Belgium/1/1983)from Eurasian Iineage,and some of the antigenic sites and neuraminidase active sites of NA gene of seasonal A/H1N1 were mutated after 2005.[Conclusion]The NA gene of 2009 novel A/H1N1 may originate from Eurasian Iineage of swine influenza virus.The variation of NA gene of seasonal A/H1N1 has occurred in a certain degree.Hence,it is very necessary to continuously monitor the variant of influenza A virus.

The epidemic of coronavirus disease 2019 (COVID-19) puts higher demands on critical care medicine. Lots of studies have been conducted to solve COVID-19-related problems. Therefore, we reviewed the annual progress for COVID-19-related issues including antivirals threapies, respiratory support and immunomodulatory therapies and other critical issues, including the effect of antibiotic on mitochondrial damage and its relationship with sepsis, the goal and direction of antimicrobial de-escalation, drug prophylaxis of constipation, bleeding in gastrointestinal disorders and management of critical illness in the informalization era and so on. We hope to provide reference for clinical and scientific research work of the intensivists.

Objective To carry out a proficiency testing of content determination of geniposide in Gardeniae fructus,evaluate the content determination ability of index components in traditional Chinese medicine in the laboratory of inspection and detection in drug-related fields,and improve the quality control ability of content determination of related laboratories.Methods The laboratory's capability-verification activities were conducted based on the CNAS-RL02 Rules for Proficiency Testing and ISO/IEC 17043 Conformity Assessment-General Requirements for Proficiency Testing.After preparing the sample,the results of homogeneity and stability tests were analyzed according to CNAS-GL003 Guidance on Evaluating the Homogeneity and Stability of Samples Used for Proficiency Testing.After the test results were qualified,they were used as proficiency testing samples and randomly distributed to participants.The results were collected,and the robust statistical method and the Z scores were used to analyze the results of these laboratories'reports.Results 403 laboratories in this proficiency testing program reported the results,of which 367 results were acceptable,accounting for 91.07％,17(4.22％)laboratories obtained suspicious results,and 19 laboratories gave unsatisfactory results,with the dissatisfaction rate of 4.71％.Conclusion The majority of the 403 participant laboratories have the ability to determine the content of geniposide in Gardeniae fructus by HPLC and the laboratory testing ability and quality management level of the drug monitoring system are high.This proficiency testing provides a basis for understanding the technical reserve capacity and management level of China's pharmaceutical inspection and testing laboratories,and provides technical support for future government supervision.

Objective:To construct a real-time monitoring system based on computer vision for monitoring withdrawal speed of colonoscopy and to validate its feasibility and performance.Methods:A total of 35 938 images and 63 videos of colonoscopy were collected in endoscopic database of Renmin Hospital of Wuhan University from May to October 2018. The images were divided into two datasets, one dataset included in vitro, in vivo and unqualified colonoscopy images, and another dataset included ileocecal and non-cecal area images. And then 3 594 and 2 000 images were selected respectively from the two datasets for testing the deep learning model, and the remaining images were used to train the model. Three colonoscopy videos were selected to evaluate the feasibility of real-time monitoring system, and 60 colonoscopy videos were used to evaluate its performance.Results:The accuracy rate of the deep learning model for classification for in vitro, in vivo, and unqualified colonoscopy images was 90.79% (897/988), 99.92% (1 300/1 301), and 99.08% (1 293/1 305), respectively, and the overall accuracy rate was 97.11% (3 490/3 594). The accuracy rate of identifying ileocecal and non-cecal area was 96.70% (967/1 000) and 94.90% (949/1 000), respectively, and the overall accuracy rate was 95.80% (1 916/2 000). In terms of feasibility evaluation, 3 colonoscopy videos data showed a linear relationship between the retraction speed and the image processing interval, which indicated that the real-time monitoring system automatically monitored the retraction speed during the colonoscopy withdrawal process. In terms of performance evaluation, the real-time monitoring system correctly predicted entry time and withdrawal time of all 60 examinations, and the results showed that the withdrawal speed and withdrawal time was significantly negative-related ( R=-0.661, P<0.001). The 95% confidence interval of withdrawal speed for the colonoscopy with withdrawal time of less than 5 min, 5-6 min, and more than 6 min was 43.90-49.74, 40.19-45.43, and 34.89-39.11 respectively. Therefore, 39.11 was set as the safe withdrawal speed and 45.43 as the alarm withdrawal speed. Conclusion:The real-time monitoring system we constructed can be used to monitor real-time withdrawal speed of colonoscopy and improve the quality of endoscopy.

Objective:To construct an artificial intelligence-assisted diagnosis system to detect gastric ulcer lesions and identify benign and malignant gastric ulcers automatically.Methods:A total of 1 885 endoscopy images were collected from November 2016 to April 2019 in the Digestive Endoscopy Center of Renmin Hospital of Wuhan University. Among them, 636 were normal images, 630 were with benign gastric ulcers, and 619 were with malignant gastric ulcers. A total of 1 735 images belonged to training data set and 150 images were used for validation. These images were input into the Res-net50 model based on the fastai framework, the Res-net50 model based on the Keras framework, and the VGG-16 model based on the Keras framework respectively. Three separate binary classification models of normal gastric mucosa and benign ulcers, normal gastric mucosa and malignant ulcers, and benign and malignant ulcers were constructed.Results:The VGG-16 model showed the best ability of classification. The accuracy of the validation set was 98.0%, 98.0% and 85.0%, respectively, for distinguishing normal gastric mucosa from benign ulcers, normal gastric mucosa from malignant ulcers, and benign ulcers from malignant ulcers.Conclusion:The artificial intelligence-assisted diagnosis system obtained in this study shows noteworthy ability of detection of ulcerous lesions, and is expected to be used in clinical to assist doctors to detect ulcer and identify benign and malignant ulcers.

Objective:To establish a deep convolutional neural network (DCNN) model based on YOLO and ResNet algorithm for automatic detection of colorectal polyps and to test its function.Methods:Colonoscopy images and videos collected from the database of Digestive Endoscopy Center of Renmin Hospital of Wuhan University from January 2018 to March 2019 were divided into three databases (database 1, 3, 4). The public database CVC-ClinicDB (composed of 612 polyp images extracted from 29 colonoscopy videos provided by Barcelona Hospital, Spain) was used as the database 2. Database 1 (4 700 colonoscopy images from January 2018 to November 2018, including 3 700 intestinal polyp images and 1 000 non-polyp images) was used for establishing training and verifying the DCNN model. Database 2 (CVC-ClinicDB) and database 3 (720 colonoscopy images from January 2019 to March 2019, including 320 intestinal polyp images and 400 non-polyp images) were used for testing the DCNN model on image detection. Database 4 (15 colonoscopy videos in December 2019, containing 33 polyps) was used for testing the DCNN model on video detection. The sensitivity, specificity, accuracy and false positive rate of the DCNN model for detecting intestinal polyps were calculated.Results:The sensitivity of the DCNN model for detecting intestinal polyps in database 2 was 93.19% (602/646). In database 3, the DCNN model showed the accuracy of 95.00% (684/720), sensitivity of 98.13% (314/320), specificity of 92.50% (370/400), and false positive rate of 7.50% (30/400) for detecting intestinal polyps. In database 4, the DCNN model achieved a per-polyp-sensitivity of 100.00% (33/33), a per-image-accuracy of 96.29% (133 840/138 998), a per-image-sensitivity of 90.24% (4 066/4 506), a per-image-specificity of 96.49% (129 774/134 492), and a per-image-false positive rate of 3.51% (4 718/134 492).Conclusion:The DCNN model constructed in the study has a high sensitivity and specificity for automatic detection of colorectal polyps both in the colonoscopy images and videos, has a low false positive rate in the videos, and has the potential to assist endoscopists in diagnosis of colorectal polyps.