Objective To analyse the influence of esmolol on plasma N terminal pro-brain natriuretic peptide ( NT-proBNP) , heart-type fatty acid binding protein ( H-FABP) and cardiac function in acute cerebral infarction patients with myocardial enzyme abnormalities.Methods 86 acute cerebral infarction patients with myocardial enzyme abnormalities from September 2010 to July 2014 in our hospital were selected and divided into experimental group and control group randomly (43 cases in each group).All patients were accompanied by myocardial enzyme abnormalities, patients in control group were given basic treatment, while patients in experimental group were given esmolol hydrochloride intravenous injection on the basis of control group.Plasma NT-proBNP, H-FABP levels and cardiac function were analyzed in two groups.Results Myocardial enzyme levels had no significant difference between two groups on admission.Plasma NT-proBNP levels also had no statistical differences after admission hospital of 6 h, 15 h and 3 d , and experimental group was significantly lower than control group ( P<0.05 ) after admission hospital of 5 day and 7 days.H-FABP levels had no statistical differences after admission hospital of 6 h, 15 h, and the experimental group was significantly lower than the control group (P<0.05) after admission hospital of 3, 5, 7 days.Cardiac function with Killip classification showed no significant difference when on admission and after admission hospital of 3 days, and the experimental group was significantly better than control group (P<0.05) after admission hospital of 5, 7 days.Conclusion Acute cerebral infarction patients with myocardial enzyme abnormalities given esmolol on the basic treatments significantly reduce NT-proBNP and HAFBP levels, and improve cardiac function, which is worthy of promotion in clinical applications.

Objective To study the effect of Shengmai injection on the platelet parameters and CD4+CD25+cells in peripheral blood of patients with chronic lymphocytic leukemia,and to explore the optimal regimen for patients with chronic lymphocytic leukemia.Methods One hundred and twenty patients with chronic lymphocytic leukemia were enrolled in this study from January 2012 to December 2014.(D1),vincristine 4mg(d1),prednisone 60 mg/d(d1-5)were given to the CHOP regimen in the control group: cyclophosphamide 600 mg/m2(d1),doxorubicin 25 mg/m2(d12)28d a course of treatment,a total of 4 courses,the observation group of patients in the control group of patients treated on the basis of Shengmai injection,compared the two groups of patients with chemotherapy,platelet parameters and serum CD4+CD25+T cells and Th17 cells.Results After treatment,the PLT,MPV and PDW of the observation group were(215.4± 31.7),(9.5±2.5)and(16.9±2.4),respectively,which were significantly higher than those of the control group.The CD4+CD25+T cells in the observation group were(1.5±0.8)The total effective rate of the control group was 35.0％,the total effective rate was 35.0％,and the total effective rate of the control group was 35.0％.There were significant difference between the control group and the control group(P<0.05),The difference was statistically significant.Conclusion Shengmai injection combined with CHOP regimen in chronic lymphocytic leukemia patients can improve immune function,promote platelet growth,improve platelet clinical parameters,and help improve the efficiency of chemotherapy,compared with CHOP alone Program treatment is better,worthy of clinical application.

ObjectiveTo improve the quality standard of Yuanhu Zhitong oral liquid in order to strengthen the quality control of this oral liquid. MethodThin layer chromatography（TLC） was used for the qualitative identification of Corydalis Rhizoma and Angelicae Dahuricae Radix in Yuanhu Zhitong oral liquid by taking tetrahydropalmatine， corydaline reference substances and Corydalis Rhizoma reference medicinal materials as reference， and cyclohexane-trichloromethane-methanol（5∶3∶0.5） as developing solvent， Corydalis Rhizoma was identified using GF254 glass thin layer plate under ultraviolet light（365 nm）. And taking petroleum ether（60-90 ℃） -ether-formic acid（10∶10∶1） as developing solvent， Angelicae Dahuricae Radix was identified using a silica gel G TLC plate under ultraviolet light（305 nm）. High performance liquid chromatography（HPLC） was performed on a Waters XSelect HSS T3 column（4.6 mm×250 mm， 5 μm） with acetonitrile（A）-0.1% glacial acetic acid solution（adjusted pH to 6.1 by triethylamine）（B） as the mobile phase for gradient elution（0-10 min， 20%-30%A； 10-25 min， 30%-40%A； 25-40 min， 40%-50%A； 40-60 min， 50%-60%A）， the detection wavelength was set at 280 nm， then the fingerprint of Yuanhu Zhitong oral liquid was established， and the contents of tetrahydropalmatine and corydaline were determined. ResultIn the thin layer chromatograms， the corresponding spots of Yuanhu Zhitong oral liquid， the reference substances and reference medicinal materials were clear， with good separation and strong specificity. A total of 12 common peaks were identified in 10 batches of Yuanhu Zhitong oral liquid samples， and the peaks of berberine hydrochloride， dehydrocorydaline， glaucine， tetrahydropalmatine and corydaline. The similarities between the 10 batches of samples and the control fingerprint were all >0.90. The results of determination showed that the concentrations of corydaline and tetrahydropalmatine had good linearity with paek area in the range of 0.038 6-0.193 0， 0.034 0-0.170 0 g·L^-1， respectively. The methodological investigation was qualified， and the contents of corydaline and tetrahydropalmatine in 10 batches of Yuanhu Zhitong oral liquid samples were 0.077 5-0.142 9、0.126 1-0.178 2 g·L^-1， respectively. ConclusionThe established TLC， fingerprint and determination are simple， specific and reproducible， which can be used to improve the quality control standard of Yuanhu Zhitong oral liquid.

Objective:To explore the feasibility of deep learning-based restoration of obscured thyroid ultrasound images.Methods:A total of 358 images of thyroid nodules were retropectively collected from January 2020 to October 2021 at Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, and the images were randomly masked and restored using DeepFillv2. The difference in grey values between the images before and after restoration was compared, and 6 sonographers (2 chief physicians, 2 attending physicians, 2 residents) were invited to compare the rate of correctness of judgement and detection of image discrepancies. The ultrasound features of thyroid nodules (solid composition, microcalcifications, markedly hypoechoic, ill-defined or irregular margins, or extrathyroidal extensions, vertical orientation and comet-tail artifact) were extracted according to the Chinese Thyroid Imaging Reporting and Data System (C-TIRADS). The consistency of ultrasound features of thyroid nodules before and after restoration were compared.Results:The mean squared error of the images before and after restoration ranged from 0.274 to 0.522, and there were significant differences in the rate of correctness of judgement and detection of image discrepancies between physicians of different groups(all P<0.001). The overall accuracy rate was 51.95%, the overall detection rate was 1.79%, there were significant differences also within the chief physicians and resident groups (all P<0.001). The agreement rate of all ultrasound features of the nodules before and after image restoration was higher than 70%, over 90% agreement rate for features such as solid composition and comet-tail artifact. Conclusions:The algorithm can effectively repair obscured thyroid ultrasound images while preserving image features, which is expected to expand the deep learning image database, and promote the development of deep learning in the field of ultrasound images.

OBJECTIVE: To improve the standard detection method for acetaldehyde, butyraldehyde and isobutyraldehyde in the air of workplace. METHODS: Acetaldehyde, butyraldehyde and isobutyraldehyde in the air of workplace were collected using silica gel tube, desorbed with 45.0% ethanol, separated by a capillary column and detected by a flame ionization detector. RESULTS: The linear range of this method for detecting acetaldehyde, butyraldehyde and isobutyraldehyde were 1.57-1 568.00, 1.60-1 600.00 and 1.59-1 588.00 mg/L, respectively. All the correlation coefficients were greater than 0.999. The detection limits were 0.52, 0.46 and 0.54 mg/L, respectively. The desorption efficiency was 91.0%-103.0%. The within-run relative standard deviation(RSD) was 0.7%-1.7%.The between-run RSD was 2.0%-3.7%. The samples could be stored for at least 10 days at room temperature. CONCLUSION: This method can be used for simultaneous detection of acetaldehyde, butyraldehyde and isobutyraldehyde in the air of workplace.

ObjectiveTo observe the clinical effect of Tianma Goutengyin combined with acupuncture on adult patients with tic disorder of ascendant liver-yang hyperactivity. MethodThe 64 adult patients with tic disorder of ascendant liver-yang hyperactivity who were treated in the outpatients and inpatients of the 989^th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army from January 2019 to December 2020 were selected and classified into the control group （32 cases） and the treatment group （32 cases） with the random number table method. The control group took oral western medicine Duloxetine Hydrochloride Enteric Capsules， and the treatment group was treated by Tianma Goutengyin and acupuncture. The treatment lasted 8 weeks for both groups and the efficacy was observed. ResultThe traditional Chinese medicine （TCM） syndrome score， Yale Global Tic Severity Scale （YGTSS） score， total bile acid （TBA）， triglyceride （TG）， and partial pressure of carbon dioxide （PaCO₂） were significantly lower， and the Na⁺ concentration and partial pressure of oxygen （PaO₂） were significantly higher than those before treatment in both groups （P<0.05）. After treatment， the TCM syndrome score， YGTSS score， and TBA were significantly lower， and and the Na⁺ concentration and PaO₂ were significantly higher than in the treatment group than in the control group （P<0.05）. The efficacy on TG and PaCO₂ was similar in the two groups. The total clinical effective rate of the treatment group was 90.6% （29/32）， as compared with the 64.5% （20/31） of the control group （χ²=6.210， P<0.05）. The incidence of clinical adverse reactions in the treatment group was 12.5% （4/32） in comparison with the 35.5% （11/31） in the control group （χ²=4.585， P<0.05）. The recurrence rate in the treatment group （9.4%， 3/32） was lower than that （32.3%， 10/31） in the control group （χ²=5.035， P<0.05）. ConclusionThe combination of Tianma Goutengyin and acupuncture can remarkably alleviate the clinical symptoms of adult tic disorder patients with ascendant hyperactivity of liver yang， reduce TBA， TG and PaCO₂， and increase the concentration of Na⁺ and PaO₂. Patients treated with the combination show small adverse reactions and low recurrence rate.

ObjectiveIn order to improve the recognition accuracy of named entities in medical record texts and realize the effective mining and utilization of medical record knowledge， a Bert-Radical-Lexicon（BRL） neural network model is constructed to recognize medical record entities with respect to the characteristics of medical record texts. MethodWe selected 408 medical records related to hypertension from the the Complete Library of Famous Medical Records of Chinese Dynasties and constructed a dataset consisting of 1 672 medical records by manually labeling. Then， we randomly divided the dataset into three subsets， including the training set（1 004 cases）， the testing set （334 cases） and the validation set（334 cases）. Based on this dataset， we built a BRL model that fused various text features of medical records， as well as its variants BRL-B， BRL-L and BRL-R， and a baseline model Base for experiments. During the model training phase， we trained the above models using the training set to reduce the risk of overfitting. We continuously monitored the performance of each model on the validation set during training and saved the model with the best performance. Finally， we evaluated the performance of these models on the testing set. ResultCompared with other models， the BRL model had the best performance in the medical records named entity recognition task， with an overall recognition precision of 90.09%， a recall of 90.61%， and the harmonic mean of the precision and recall（F1） of 90.35% for eight types of entities， including disease， symptom， tongue manifestation， pulse condition， syndrome， method of treatment， prescription and traditional Chinese medicine（TCM）. Compared with the Base model， the BRL model improved the overall F1 value of entity recognition by 5.22%， and the F1 value of pulse condition entity increased by 6.92%， which was the largest increase. ConclusionBy incorporating a variety of medical record text features in the embedding layer， the BRL neural network model has stronger named entity recognition ability， and thus extracts more accurate and reliable TCM clinical information.