Objective: To investigate the influencing factors for delay in healthcare-seeking, definitive diagnosis and identification in patients with pulmonary tuberculosis (PTB) in Minhang District, Shanghai Municipality, so as to provide the basis for effectively reducing delay in PTB patients. Methods: Data of PTB patients in Minhang District from 2017 to 2022 were collected from the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. The prevalence rates of delay in healthcare-seeking, definitive diagnosis and identification were analyzed, and factors affecting delay in healthcare-seeking, definitive diagnosis and identification were identified using multivariable logistic regression models. Results: A total of 4 214 PTB patients were reported in Minhang District from 2017 to 2022, including 2 802 males and 1 412 females, with a male-to-female ratio of 1.98∶1. The majority of patients were aged 25 to <45 years (1 664 cases, 39.49%). The prevalence rates of delay in healthcare-seeking, definitive diagnosis and identification were 36.81%, 30.21% and 38.09%, respectively. Delay in healthcare-seeking was associated with the year (2018, OR=0.708; 2019, OR=0.549; 2020, OR=0.670; 2021, OR=0.682), gender (female, OR=1.199), occupation (worker, OR=1.379; housekeeping service/housework/unemployed, OR=1.481), case identification route (symptom-based consultation, OR=11.159), and level of the first-diagnosed hospital (city-level, OR=1.528). Delay in definitive diagnosis was associated with age (45 to <65 years, OR=1.476), occupation (commercial service, OR=0.687; housekeeping service/housework/unemployed, OR=0.672), household registration (non-local, OR=0.820), case identification route (symptom-based consultation, OR=0.616), pathogen test result (negative/not tested, OR=1.903), and the level of the first-diagnosed hospital (city-level, OR=0.311). Delay in identification was associated with the year (2018, OR=0.785; 2019, OR=0.647; 2020, OR=0.790; 2021, OR=0.710), occupation (commercial service, OR=0.687), household registration (non-local, OR=0.848) and level of the first-diagnosed hospital (city-level, OR=0.560) Conclusions Year, gender, occupation, case identification route and level of the first-diagnosed hospital are influencing factors for delay in healthcare-seeking in PTB patients. Age, occupation, household registration, case identification route, pathogen test result and level of the first-diagnosed hospital are influencing factors for delay in definitive diagnosis. Year, occupation, household registration and level of the first-diagnosed hospital are influencing factors for delay in identification.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective To investigate the influence of peripheral blood neutrophil-to-lymphocyte ratio (NLR),monocyte-to-lymphocyte ratio (MLR) and platelet-to-lymphocyte ratio (PLR) on the prognosis in the patients with multiple myeloma (MM).Methods A total of 159 newly diagnosed MM admitted and treated in the Affiliated Hospital of Guizhou Medical University from January 2019 to May 2023 were selected as the study subjects.The general clinical data,blood biochemical and marrow routine detection results before the in-itial treatment were collected.NLR,MLR and PLR were calculated.The univariate and multivariate Cox-re-gression model was adopted to analyze the influencing factors.The receiver operating characteristic (ROC) curve was used to analyze the predictive value.The Kaplan-Meier survival curve and Log-Rank test were used to conduct the survival analysis.Results The ROC curve showed that the critical values of NLR,MLR and PLR were 2.682,0.317 and 147.786 respectively.The patients were divided into the high/low NLR groups (n=61,n=98),high/low MLR group (n=76,n=83) and high/low PLR groups (n=59,n=100).The pro-portions of blood calcium<2.5 mmol/L and creatinine<177 μmmol/L in the low NLR group in the low NLR group were higher compared with the high NLR group (P<0.05);the blood calcium,creatinine and DS stage had statistical differences between the low MLR group and high MLR group (P<0.05);blood calcium had statistical difference between the low PLR group and high PLR group (P<0.05).After 3 treatment courses,the complete remission rate in the high NLR group,high MLR group and high PLR group was significantly lower than that in the corresponding low group (P<0.05).The multivariate Cox-regression analysis results showed that hemoglobin<100 g/L and high PLR were the independent risk factors affecting the progress free survival (PFS) stage in the patients with MM (P<0.05).The age>60 years old was the independent risk factors affecting the overall survival (OS) in the patients with MM (P<0.05).Conclusion NLR,MLR and PLR could serve as the assisted tool to evaluate the prognosis in the patients with MM.

It has been proposed by Basic Questions On Proper Therapies for Different Diseases Geographically （《素问·异法方宜论篇》） that "wei （痿） diseases should be treated by Daoyin （导引）". Furthermore， it is clarified that the indications of Daoyin are those conditions related to spleen and dampness caused by dampness pathogen， excessive food intake and less exercise， and mainly manifested as heavy limbs， fatigue and flaccidity， which is similar to the metabolic imbalance in the early stage of glucose or lipid metabolism disorder in modern medicine. Based on modern clinical and basic research evidence， Daoyin can inhibit the response of inflammation， alleviate oxidative stress， regulate intestinal microbiota， and modulate gene expression to improve metabolic abnormalities， and this will provide ideas for researches on the indications of Daoyin.

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.

Objective To explore the value of the Kyoto classification score in differentiating undifferentiated gastric cancer from differentiated gastric cancer,and establish a predictive scoring system for differentiating undifferentiated gastric cancer under endoscope.Methods 183 gastric cancer patients were retrospectively analyzed.According to pathology,95 patients were included in the differentiated group and 88 were included in the undifferentiated group.The age,gender and Kyoto classification score of patients in the two groups were compared,and the factors associated with undifferentiated gastric cancer were screened by binary Logistic regression analysis.The predictive scoring system for undifferentiated gastric cancer was established based on the obtained odds ratio(O(R))values,and the receiver operator characteristic curve(ROC curve)was drawn.Results Compared with differentiated group,the total scores of Kyoto classification,atrophy,intestinal metaplasia and diffuse redness were lower in undifferentiated group(P<0.01).Under the age of 55(P<0.05),female(P<0.05),and C1 atrophy or no atrophy(P<0.01)were independently associated with undifferentiated gastric cancer.The area under the curve(AUC)of predictive scoring system for undifferentiated gastric cancer was 0.881(95％CI:0.828～0.934),and the sensitivity and specificity were 80.70％and 90.50％at the optimal cut-off value.Conclusion There are differences in Kyoto classification scores between undifferentiated and differentiated gastric cancer patients.The predictive scoring system of undifferentiated gastric cancer established by us has certain value in distinguishing undifferentiated gastric cancer under endoscope.

Objective To explore the effect of etomidate-propofol mixture anaesthesia in painless gastrointestinal endoscopy.Methods Eighty-two patients who underwent painless gastrointestinal endoscopy from September 2023 to November 2023 were divided into etomidate-propofol mixture group(observation group,n=41)and propofol group(control group,n=41)by using the random number table method.Morphine-benzedrine group(MBG)scores were recorded 30 min before the examination and before leaving the recovery room in both groups.Percutaneous arterial oxygen saturation(SpO2),heart rate(HR)and mean arterial pressure(MAP)were noted at anesthesia induction(T0),before entering the endoscope(T1),5 min after anesthesia induction(T2),and awakening(T3).Gastrointestinal endoscopy time,awakening time,recovery room stay time,total propofol consumption,and adverse reactions were also documented.Results MBG scores in both groups significantly increased before leaving the recovery room compared to 30 min before the examination,the observation group had lower MBG scores before leaving the recovery room in comparison with the control group,there were statistically significant(P＜0.05).From T1 to T3,MAP,SpO2,HR were higher in the observation group than those in the control group,there were statistically significant(P＜0.05).The observation group had shorter awakening time and recovery room stay time,there were statistically significant(P＜0.05).The observation group had lower total propofol consumption,there was statistically significant(P＜0.05).The observation group also exhibited a lower incidence of hypotension,hypoxemia,and injection pain,there were statistically significant(P＜0.05),with no statistically significant difference in the incidence of other adverse reactions(P＞0.05).Conclusion Etomidate-propofol combination anesthesia can reduce postoperative MBG scores in painless gastrointestinal endoscopy,contributing to a decreased risk of potential propofol addiction and abuse.Additionally,it stabilizes circulatory and respiratory functions,reduces adverse reactions rate,and shortens awakening time and recovery room stay time.Its application is worthy of further promotion.

Objective:To evaluate the efficacy and safety of hypomethylating agents (HMA) in patients with myelodysplastic syndromes (MDS) .Methods:A total of 409 MDS patients from 45 hospitals in Zhejiang province who received at least four consecutive cycles of HMA monotherapy as initial therapy were enrolled to evaluate the efficacy and safety of HMA. Mann-Whitney U or Chi-square tests were used to compare the differences in the clinical data. Logistic regression and Cox regression were used to analyze the factors affecting efficacy and survival. Kaplan-Meier was used for survival analysis. Results:Patients received HMA treatment for a median of 6 cycles (range, 4-25 cycles) . The complete remission (CR) rate was 33.98% and the overall response rate (ORR) was 77.02%. Multivariate analysis revealed that complex karyotype ( P=0.02, OR=0.39, 95% CI 0.18-0.84) was an independent favorable factor for CR rate. TP53 mutation ( P=0.02, OR=0.22, 95% CI 0.06-0.77) was a predictive factor for a higher ORR. The median OS for the HMA-treated patients was 25.67 (95% CI 21.14-30.19) months. HMA response ( P=0.036, HR=0.47, 95% CI 0.23-0.95) was an independent favorable prognostic factor, whereas complex karyotype ( P=0.024, HR=2.14, 95% CI 1.10-4.15) , leukemia transformation ( P<0.001, HR=2.839, 95% CI 1.64-4.92) , and TP53 mutation ( P=0.012, HR=2.19, 95% CI 1.19-4.07) were independent adverse prognostic factors. There was no significant difference in efficacy and survival between the reduced and standard doses of HMA. The CR rate and ORR of MDS patients treated with decitabine and azacitidine were not significantly different. The median OS of patients treated with decitabine was longer compared with that of patients treated with azacitidine (29.53 months vs 20.17 months, P=0.007) . The incidence of bone marrow suppression and pneumonia in the decitabine group was higher compared with that in the azacitidine group. Conclusion:Continuous and regular use of appropriate doses of hypomethylating agents may benefit MDS patients to the greatest extent if it is tolerated.

Purpose/Significance To compare and analyze the 2023 edition and 2011 edition of the health information data element standards,and to discuss the differences and improvements,so as to provide useful references and guidance for the update and imple-mentation of the standards.Method/Process The updated contents of the 2023 and 2011 editions of the health information data element standards are sorted out and compared,and the effects of the revision on the degree of standardization,the level of standardization,and the completeness and accuracy of data are analyzed and summarized.Result/Conclusion It is found that the 2023 edition has achieved significant improvements in data completeness and standardization.Additionally,targeted suggestions and strategies are proposed for the challenges and issues that might be faced during the implementation of the 2023 edition standards.