ObjectiveTo investigate the relationship between Jiaotai pill (JTP), its main component berberine (BBR), and the serotonin (5-HT) system in regulating islet hormone secretion and alleviating pancreatic β-cell dysfunction during type 2 diabetes mellitus (T2DM) progression.MethodsT2DM rat model was established using a high-fat diet and streptozotocin injection. JTP, BBR, and Metformin were intragastrically administered for 35 days. The analyzed indices included blood glucose, blood lipids, islet hormones, and proteins related to 5-HT synthesis, secretion, and transport. Additionally, an in vitro model of glucose injury in islet cells was established to study the effects of JTP and BBR on islet hormone secretion following tryptophan hydroxylase 1 (TPH1) inhibition.ResultsJTP and BBR significantly improved blood glucose and lipid levels and islet morphology in T2DM rats. Both models exhibited reduced islet 5-HT levels and impaired islet hormone secretion. However, the administration of JTP and BBR reversed these effects. Furthermore, JTP and BBR upregulated the expression of TPH1(P = .0194, P = .0413) transglutaminase 2 (TGase2; P = .0492, P = .0349), serotonin transporter (SERT, P = .0090), and 5- hydroxytryptamine 1F receptor (5-HT1FR) in the islet 5-HT pathway (P = .0194). In the cell model, the regulatory effects of JTP and BBR on islet hormone levels were significantly weakened after TPH1 inhibition (P = .001), suggesting that JTP and BBR influence islet hormone secretion through the pancreatic 5-HT system.ConclusionThe islet 5-HT system is correlated with islet hormone secretion dysfunction in T2DM. JTP and BBR can improve islet hormone secretion by activating the TPH1/TGase2/SERT/5-HT1FR pathway in the islet 5-HT system in T2DM rats.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

OBJECTIVES: Firefighters are prone to suffer from psychological trauma and post-traumatic stress disorder (PTSD) in the workplace, and have a poor prognosis after PTSD. Reliable models for predicting PTSD allow for effective identification and intervention for patients with early PTSD. By collecting the psychological traits, psychological states and work situations of firefighters, this study aims to develop a machine learning algorithm with the aim of effectively and accurately identifying the onset of PTSD in firefighters, as well as detecting some important predictors of PTSD onset. METHODS: This study conducted a cross-sectional survey through convenient sampling of firefighters from 20 fire brigades in Changsha, which were evenly distributed across 6 districts and Changsha County, with a total of 628 firefighters. We used the synthetic minority oversampling technique (SMOTE) to process data sets and used grid search to finish the parameter tuning. The predictive capability of several commonly used machine learning models was compared by 5-fold cross-validation and using the area under the receiver operating characteristic curve (ROC-AUC), accuracy, precision, recall, and F1 score. RESULTS: The random forest model achieved good performance in predicting PTSD with an average AUC score at 0.790. The mean accuracy of the model was 90.1%, with an F1 score of 0.945. The three most important predictors were perseverance, forced thinking, and reflective deep thinking, with weights of 0.165, 0.158, and 0.152, respectively. The next most important predictors were employment time, psychological power, and optimism. CONCLUSIONS PTSD onset prediction model for Changsha firefighters constructed by random forest has strong predictive ability, and both psychological characteristics and work situation can be used as predictors of PTSD onset risk for firefighters. In the next step of the study, validation using other large datasets is needed to ensure that the predictive models can be used in clinical setting.
Humans ; Stress Disorders, Post-Traumatic/diagnosis* ; Firefighters/psychology* ; Cross-Sectional Studies ; Algorithms ; Machine Learning

Objective:To construct and validate a predictive model for the risk of excessive blood loss in pa-tients with ruptured tubal pregnancy,and to provide a basis and tool for the assessment of changes in the condi-tion of patients with ruptured tubal pregnancy.Methods:Clinical data of inpatients with ruptured tubal pregnancy from January 2014 to July 2021 were retrospectively analyzed,who underwent surgical treatment in the Depart-ment of Gynecology,Dongguan Maternal and Child Health Hospital.The pelvic blood volume was categorized into excessive blood loss and non-excessive blood loss groups based on whether the amount of pelvic blood was found to be≥750 ml intraoperatively.Factors influencing the occurrence of excessive blood loss were screened and modeled by univariate analysis,Lasso regression,and multi-factor Logistic stepwise regression.The area un-der the subject working characteristic curve(AUC)was used to evaluate the discrimination of the predictive mod-el,the model's consistency was evaluated by calibration curve and goodness-of-fit test,and the clinical utility of the model was evaluated and validated by the decision analysis curve.Finally,column line plots were drawn.Results:①A total of 386 patients with ruptured tubal pregnancy were included,of whom 124(32.12%)had blood loss≥750 ml.②The optimal predictors for predicting concomitant blood loss in patients with ruptured tubal preg-nancy were screened,including:days of abdominal pain,dizziness,pallor,fatigue,the maximum diameter of para-metrial mass,human chorionic gonadotropin(β-hCG),and hemoglobin(Hb)and the model and the column line graphswere constructed accordingly.③The prediction model AUC was 0.827(95%CI 0.781-0.873);the cut-off value was 0.391,at which point the specificity and sensitivity were 68.55%and 84.35%,respectively,and the AUC validated within the model by resampling was 0.804.Clinical decision curves showed that the threshold probability intervals for the maximum net benefit values ranged from 8.5%-97%,respectively.Conclusions:The constructed prediction model was validated to suggest good discriminatory efficacy and degree of consistency.As a tool,it has clinical application value in predicting the risk of hemorrhage in patients with ruptured tubal pregnan-cy.It can help to determine the occurrence of adverse events such as hemorrhagic shock at an early stage and improve the success rate of rescue treatment.

Objective:To investigate the value of gadolinium ethoxybenzyl diethylenetriaminepentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in predicting the pathological grade and early recurrence rate of hepatocellular carcinoma.Methods:The imaging data, pathological data, and follow-up data of 90 patients with hepatocellular carcinoma who underwent Gd-EOB-DTPA-enhanced MRI examination and surgical treatment in People's Hospital of Baise from January 2016 to October 2017 were retrospectively analyzed. The correlation between the signal intensity of contrast-enhanced MRI and postoperative pathological grade was analyzed. Kaplan-Meier survival analysis was performed to investigate the effects of the signal characteristics of hepatobiliary lesions on the early recurrence rate of hepatocellular carcinoma.Results:A total of 59 (65.56%) patients showed low-intensity signals and 31 (34.44%) patients showed mixed-intensity signals. High-intensity signal was not found in any patients. The signal intensity of the hepatobiliary phase was significantly correlated with the pathological grade of the tumor ( χ2 = 2.26, P = 0.040) and tumor size ( t = 3.10, P = 0.033). The early recurrence rate of hepatocellular carcinoma was significantly higher in patients exhibiting mixed-intensity signals than that in patients exhibiting low-intensity signals ( χ2 = 2.25, P = 0.041). Conclusion:Gd-EOB-DTPA-enhanced MRI in the hepatobiliary phase with different signal intensities has the potential to predict the pathological grade and early recurrence rate of hepatocellular carcinoma.

Objective:To construct the global competency evaluation index system for nursing undergraduates of traditional Chinese medicine (TCM) specialty, so as to provide a theoretical basis for the training of nursing undergraduates of TCM specialty in colleges and universities in the future.Methods:Based on the program for international student assessment (PISA) global competency framework, 17 experts in related fields were selected, and the content and weight of evaluation indicators were determined through two rounds of Delphi expert consultation and analytic hierarchy process.Results:In two rounds of consultation, the positive coefficients of experts were all 100%, the authority coefficients were 0.888 and 0.882, respectively, and the Kendall's W were 0.429 and 0.454, respectively, and the differences were statistically significant ( P<0.001) . The final global competency evaluation index system of nursing undergraduates of TCM specialty included five first-level indicators, 15 second-level indicators, and 40 third-level indicators. Conclusions:The global competency evaluation index system of nursing undergraduates of TCM specialty is scientific, reasonable and highly reliable, provides a theoretical basis for future university training and curriculum settings, so as to adapt to the changing global health situation in the future.

Ossifying fibroma (OF) and fibrous dysplasia (FD) are two fibro-osseous lesions with overlapping clinicopathological features, making diagnosis challenging. In this study, we applied a whole-genome shallow sequencing approach to facilitate differential diagnosis via precise profiling of copy number alterations (CNAs) using minute amounts of DNA extracted from morphologically correlated microdissected tissue samples. Freshly frozen tissue specimens from OF (n = 29) and FD (n = 28) patients were obtained for analysis. Lesion fibrous tissues and surrounding normal tissues were obtained by laser capture microdissection (LCM), with ~30-50 cells (5 000-10 000 µm
DNA Copy Number Variations ; Diagnosis, Differential ; Fibroma, Ossifying/genetics* ; Fibrous Dysplasia of Bone/genetics* ; Galactosyltransferases ; Humans ; Jaw ; Neoplasm Recurrence, Local ; Nuclear Proteins

Humans ; Multiple Myeloma ; blood ; diagnosis ; Plasma Cells ; cytology ; Plasmacytoma ; blood ; diagnosis

Objective To develop multi-functional suction tubes used in neuroendoscope assisted pituitary tumor surgery via endonasal transsphenoidal pathway and investigate their application value.Methods The experiments included 145 pituitary tumor patients,recruited in our hospital from March 2014 to March 2015.Self-regulating multi-functional curve and detachable suction tubes were used in neuroendoscope assisted pituitary tumor resection,which could do suction,electrical coagulation and stripping together.The efficacy of them was analyzed.Results There were 101 total tumor resection,26 subtotal resection and 18 partial resection in the 145 pituitary tumor patients.The average operative blood loss was 41.52 mL with application of the multifunctional suction tubes.The shortest time in operation was 28 min,and the average operation time was 76.55 min.Patients were discharged 3-5 days after surgery and the prognosis were good.Conclusion As a safe and effective novel endoscopic neurosurgery instrument,the multifunctional curve and detachable suction and stripping tubes with electrical coagulation could significantly improve surgery effectiveness and reduce operative blood loss when used in pituitary tumor resection through endonasal transsphenoidal pathway.