OBJECTIVE: To investigate the clinical features and operation treatment of the congenital middle ear cholesteatoma. METHOD: A retrospective review of clinical and surgical records of 10 patients with congenital middle ear cholesteatoma were performed. All patients were treated by surgeries,5 of 10 cases deal with one-stage tympanoplasty after drum exploration by external auditory meatus, 3 cases dealed with closed mastoidotympanectomy and tympanomastoidectomy, 2 cases dealed with open mastoidotympanectomy and tympanomastoidectomy. RESULT: The cholesteatomas were located at or around the posterior tympanum or mesotympanum in 5 patients, confined to the tympanic cavity and attic in 3 patients, advanced cholesteatoma that extended from the tympanic cavity into the mastoid antrum was seen in 2 patients. The mean postoperative PTA was 30 dB HL, the mean ABG was within 20 dB, after six months. No residual or recurrence of cholesteatoma was found. CONCLUSION The congenital cholesteatoma often originates from the posterior or anterior of the middle ear, with hiding lesion, thus result in severe conductive hearing loss. Imaging examination plays an important role in diagnosing and treating of congenital cholesteatoma. Early stage surgical treatment can obtain a good hearing reconstruction effect.
Adolescent ; Adult ; Child ; Child, Preschool ; Cholesteatoma ; congenital ; surgery ; Cholesteatoma, Middle Ear ; surgery ; Ear, Middle ; physiopathology ; Female ; Follow-Up Studies ; Humans ; Male ; Retrospective Studies ; Tympanoplasty ; methods ; Young Adult

Adult ; Branchio-Oto-Renal Syndrome ; diagnosis ; Child, Preschool ; Craniofacial Abnormalities ; diagnosis ; Diagnostic Errors ; Female ; Humans ; Male

Objective To modify the method of gavage administration in guinea pigs. Methods Fourty awake guinea pigs were kept rearing on the hind legs and leaning on a vertical fixture to avoid their escaping forward. A 1 mL injector was inserted into the mouth to the depth when the molar teeth were passed. Another fourty guinea pigs under general anesthesia were reversed at trendelenburg position and a children suction tube with an outer diameter of 2 mm was inserted into the stomach. Results All of the 80 guinea pigs were administered by modified gavage smoothly for seven consecutive days by one operator each time. None endured much pain or digestive tract injury, or died from air way perfusion by mistake. Conclusions We successfully modified the gavage method in guinea pigs, which would definitely take guinea pigs involved in intragastical pharmacal experiments besides the routine of rats and mice.

Quality of medical records is key to hospital′s total quality management, while the establishment and improvement of real-time monitoring feedback system is of great significance to the improvement of the quality of medical records. The authors explored real-time quality control of electronic medical records through artificial intelligence data processing and machine learning. The quality control covers timeliness and completeness in writing the medical records, the consistency and logic of the content, the identification of typos and the quality control of the medical records etc. Its practice showed that the defect rate of medical records has decreased significantly and the quality control management efficiency has greatly improved.

The aim of this study was to construct a mammary gland-specific expressional vector pBC1-hLF-Neo for Human Lactoferrin (hLF) gene and then investigate its expression in the mammary gland epithelium cells. The constructed vector contained the 6.2 kb long 5' flank regulation region including promoter, other elements and the 7.1 kb long 3' flank regulation region including transcriptional ending signal of a goat's beta-casein gene. A cassette of Neo gene was also inserted into the vector which gave a total length of 26.736 kb identified by restriction fragment analysis and partial DNA sequencing. The results revealed that the structure of the final constructed vector accords with the designed plasmid map. In order to analyze the bioactivity of the vector, we transfected the lined vector DNA into the dairy goat's mammary gland epithelium cells and C127 cells of a mouse's mammary epithelium by Lipofectamine. After selection with G418 for 8-10 days, G418-risistant clones were obtained. PCR analysis demonstrated that hLF gene cassette had been integrated into the genomic DNA of G418-risistant clones. After proliferation culture, the two kinds of transgenic cells were cultured in serum-free DMEM-F12 medium with prolactin, insulin and hydrocortisone- a medium capable of inducing recombinant hLF expression. RT-PCR, Western blotting and anti-bacteria bioactivity experiments demonstrated that the constructed mammary gland specific vector pBC1-hLF-Neo possessed the desirable bioactivity to efficiently express and could secrete hLF in both mammary gland cells and have the effect of E. coli proliferation inhibition. Paramount to everything, this study laid a firm foundation for preparing the hLF gene transgenic goat fetal-derived fibroblast cells.
Animals ; Base Sequence ; Breast Neoplasms ; metabolism ; pathology ; Caseins ; genetics ; Cell Line, Tumor ; DNA, Complementary ; biosynthesis ; genetics ; Epithelial Cells ; metabolism ; Female ; Genetic Vectors ; genetics ; Goats ; Humans ; Lactoferrin ; biosynthesis ; genetics ; Mammary Glands, Animal ; cytology ; metabolism ; Mice ; Molecular Sequence Data ; Mutagenesis, Insertional ; Promoter Regions, Genetic ; genetics

Objective To establish a quality control method for bomeol and artificial musk in Xinfufang-Zhenzhusan and Xinfufang-Zhenzhugao.Methods We used petroleum ether-toluene-ethyl acetate (9:3:2)as developer for TLC to identify isoborneol and borneol and petroleum ether-dichloromethane (2:3) as developer for TLC to identificate musk ketone.Agilent 7890 B gas chromatograph,FDI detector;Column:Thermo-TG-WaxMS GC (0.25 mm × 30 m,0.25 mm) was employed;the carrier gas was high purity nitrogen and flow rate for 1 mg/ml,the injection port temperature is 200 C and detector temperature is 250 ℃;the split ratio is 10:1 and injection volume was 1 μl,using temperature programmed.Results The isoborneol,borneol and musk ketone in the range of 0.001-10 mg/ml showed good linearity.The recovery of the method is in the range of 95 ％ to 105 ％.The TLC for isobomeol,bomeol,musk ketone can be identified easily.Conclusions The method was simple and reasonable,which can be used for the quality control of borneol and artificial musk in the Xinfufang-Zhenzhusan and Xinfufang-Zhenzhugao.

Objective:To evaluate the clinical efficacy and safety of neuro-endoscopic evacuation and microsurgery via keyhole approach in early spontaneous supertentorial intracerebral hemorrhage (ICH). Methods:A prospective multi-center randomized controlled trial was performed; 114 patients with spontaneous supertentorial ICH (time from onset to surgery<6 h) admitted to Departments of Neurosurgery, Shunde Hospital of Southern Medical University, Jiangmen Central Hospital, Affiliated Hospital of School of Medicine of Yanbian University from January 2019 to December 2021 and met the surgical indications were selected. They were divided into endoscopic group (evacuation of intracerebral hematoma under neuroendoscope, n=71) and microscopic group (microsurgery of intracerebral hematoma via keyhole approach, n=43) according to different surgical methods. After 1:1 propensity score matching of the general data, surgical time, hematoma clearance rate, early postoperative re-bleeding rate, Glasgow coma scale (GCS) scores 7 d after surgery, activity of daily living (ADL) scores 6 months after surgery, mortality, and surgery-related complications of 66 patients (33 from each group after matching) were compared. Results:The difference of surgical time between endoscopic group and microscopic group was statistically significant (125[102, 157] mins vs. 175[125, 260] mins, P<0.05). However, hematoma clearance rate (93.00%[80.88%, 96.52%] vs. 93.31%[88.15%, 96.03%]), early postoperative re-bleeding rate (15.2% vs. 9.1%), GCS scores 7 d after surgery (13[10, 15] vs. 12[8, 14]), ADL scores 6 months after surgery (65[45, 85] vs. 55[0, 85]), mortality rate (18.2% vs. 21.2%) and incidences of postoperative intracranial infection and acquired pulmonary infection were not statistically significant between the two groups ( P>0.05). Conclusion:Comparing with microsurgery via keyhole approach, neuro-endoscopy could shorten the surgical time, but not improve the prognosis or safety in early spontaneous supertentorial ICH patients.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.

Objective:To analyze the characteristics of viral isolation and unique recombinant from untreated HIV-1 patients infected through sexual transmission and injection drug use, so as to provide evidence for understanding the biological characteristics and precise prevention and control of HIV-1 infection in different transmission routes.Methods:In view of the different HIV-1 transmission risks, newly diagnosed untreated HIV-1 patients from Beijing, Guangxi and Sichuan were carefully selected. Venous blood was collected to detect the viral load and CD4 + T cell count, and peripheral blood lymphocytes were isolated for virus isolation. Viral RNAs were extracted from the virus supernatant, and the near full-length genome sequences were obtained using in-house method, then the recombination patterns were determined. Results:Among the 65 HIV-1 infection, 32(49.2%), 20(30.8%) and 13(20.0%) were infected via men who have sex with men (MSM), heterosexual and injection drug use (IDU), respectively; genotypes mainly included 26(40.0%) CRF07_ BC, 23(35.4%) CRF01_ AE, and 9(13.8%) unique recombinant types (URFs). A total of 46 HIV-1 clinical strains were isolated. The positive rate of HIV-1 isolation was significantly negatively correlated with CD4 + T cells ( X2=4.22, P=0.04), but positively correlated with viral load ( X2=22.4, P<0.001); the multi-variate generalized estimating equations(GEE) model analysis of HIV-1 P24 antigen content showed similar result. In addition, GEE model showed a positive correlation between viral P24 antigen content and virus-producing culture time (52.14, 95% CI: 9.42~94.87, P=0.017). Viral growth curve analysis showed that the level of viral P24 antigen in MSM Group was significantly higher than that in heterosexual group and IDU group (adjusted P values were p<0.01 and P<0.05, respectively), on the 14th day after culture. The proportion of URFs in MSM Group was higher than that in heterosexual group, and the recombinant breakpoints in MSM Group were more than that in heterosexual group. Conclusions:MSM population was more sensitive to HIV-1 virus isolation; there was unique diversity of recombinant forms of HIV-1 among those with sexually transmitted infections, especially in the MSM population.

Coronavirus disease 2019 (COVID-19) has spread rapidly around the world. In order to diagnose COVID-19 more quickly, in this paper, a depthwise separable DenseNet was proposed. The paper constructed a deep learning model with 2 905 chest X-ray images as experimental dataset. In order to enhance the contrast, the contrast limited adaptive histogram equalization (CLAHE) algorithm was used to preprocess the X-ray image before network training, then the images were put into the training network and the parameters of the network were adjusted to the optimal. Meanwhile, Leaky ReLU was selected as the activation function. VGG16, ResNet18, ResNet34, DenseNet121 and SDenseNet models were used to compare with the model proposed in this paper. Compared with ResNet34, the proposed classification model of pneumonia had improved 2.0%, 2.3% and 1.5% in accuracy, sensitivity and specificity respectively. Compared with the SDenseNet network without depthwise separable convolution, number of parameters of the proposed model was reduced by 43.9%, but the classification effect did not decrease. It can be found that the proposed DWSDenseNet has a good classification effect on the COVID-19 chest X-ray images dataset. Under the condition of ensuring the accuracy as much as possible, the depthwise separable convolution can effectively reduce number of parameters of the model.
Betacoronavirus ; Coronavirus Infections ; diagnostic imaging ; Deep Learning ; Humans ; Pandemics ; Pneumonia, Viral ; diagnostic imaging ; X-Rays