Objective:To explore the impact of lifestyle on TCM constitutions among female medical workers at Xiyuan Hospital, Chinese Academy of Traditional Chinese Medicine using questionnaires; To provide references for optimizing their health management.Methods:A cross-sectional study was conducted. A total of 500 female medical workers were randomly selected from Xiyuan Hospital from April to December 2022 to complete the questionnaires. The relationship between lifestyle and constitutions of female medical workers was analyzed.Results:A total of 457 cases completed the questionnaires. Among the 9 constitutions, 102 people (22.32%) had a peaceful constitution, while 355 people (77.68%) had a biased constitution; the top three biased constitutions were qi stagnation constitution 90 people (19.69%), yang deficiency constitution 83 people (18.16%), and phlegm-dampness constitution 56 people (12.25%). The factors that influenced physical constitutions according to the severity of lifestyle were: sleep, diet, mood, exercise, labor, environment, children, and education.Conclusions:Female medical workers have a high proportion of biased constitution, and the main types of biased constitution are qi stagnation constitution, yang deficiency constitution, and phlegm-dampness constitution. According to the existing biased constitution, targeted adjustments and interventions are carried out, and it is of great significance to protect and care for the health of female medical workers from the concept of preventive treatment of diseases with TCM.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To evaluate the clinical utility of machine learning model based radiomics in predicting high-risk molecular subtypes of lower-grade gliomas(LrGGs).Methods:This was a cross-sectional study. A total of 287 patients diagnosed with LrGGs in the First Hospital of Shanxi Medical University, Shanxi Provincial People′s Hospital, and the Third Hospital of Shanxi Medical University from January 2011 to September 2023 were retrospectively collected, including 166 males and 121 females; 114 cases of high-risk molecular subtypes and 173 cases of non-high-risk molecular subtypes. All patients were divided into 201 cases in the training set and 86 cases in the test set according to 7∶3 in simple randomized grouping method. All patients underwent contrast-enhanced T 1WI (CE-T 1WI) and T 2-weighted fluid-attenuated inversion recovery sequence imaging (T 2-FLAIR), and the imaging features of high-risk and non-high-risk molecular subtypes were analyzed. Analysis of variance, recursive feature elimination, and Kruskal-Wallis were used for radiomics feature screening, and a support vector machine (SVM) classifier was used to construct a radiomics-based classifier model. Univariate and multivariate logistic regression were used to analyze clinical variables independently influencing high-risk molecular subtypes of LrGGs to construct a clinical model; a combined model was developed by integrating radiomics labels and clinical variables. Receiver operating characteristic curve and area under the curve (AUC), calibration curve, and decision curve were used to compare the predictive performance of different models. Results:The patient′s age ( OR=1.042, 95% CI 1.018-1.068, P=0.001), pathological grade ( OR=2.270, 95% CI 1.212-4.311, P=0.011), MGMT methylation status ( OR=0.456, 95% CI 0.238-0.866, P=0.017), and ependymal involvement ( OR=7.335, 95% CI 2.929-18.370, P<0.001) were independent influencing factors for the high-risk molecular subtype of LrGGs, and a clinical model was developed based on these factors. An SVM model was constructed based on 12 radiomics features (3 radiomics features based on CE-T 1WI and 9 radiomics features based on T 2-FLAIR). The radiomics score of the probability output by the SVM model was combined with age, pathological grade, MGMT methylation status, and ependymal involvement to develop a combined model. The AUC values of the SVM model for predicting the high-risk molecular subtype of LrGGs were 0.824 and 0.859 in the training set and test set, respectively; the AUC values of the clinical model in the training set and test set were 0.759 and 0.721, respectively; and the AUC values of the combined model in the training set and test set were 0.823 and 0.815, respectively. The combined model had a high clinical net benefit. Conclusion:The machine learning MRI radiomics model can preoperatively predict high risk molecular subtypes of LGGrs, assist in individualized treatment decisions.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To evaluate the clinical utility of machine learning model based radiomics in predicting high-risk molecular subtypes of lower-grade gliomas(LrGGs).Methods:This was a cross-sectional study. A total of 287 patients diagnosed with LrGGs in the First Hospital of Shanxi Medical University, Shanxi Provincial People′s Hospital, and the Third Hospital of Shanxi Medical University from January 2011 to September 2023 were retrospectively collected, including 166 males and 121 females; 114 cases of high-risk molecular subtypes and 173 cases of non-high-risk molecular subtypes. All patients were divided into 201 cases in the training set and 86 cases in the test set according to 7∶3 in simple randomized grouping method. All patients underwent contrast-enhanced T 1WI (CE-T 1WI) and T 2-weighted fluid-attenuated inversion recovery sequence imaging (T 2-FLAIR), and the imaging features of high-risk and non-high-risk molecular subtypes were analyzed. Analysis of variance, recursive feature elimination, and Kruskal-Wallis were used for radiomics feature screening, and a support vector machine (SVM) classifier was used to construct a radiomics-based classifier model. Univariate and multivariate logistic regression were used to analyze clinical variables independently influencing high-risk molecular subtypes of LrGGs to construct a clinical model; a combined model was developed by integrating radiomics labels and clinical variables. Receiver operating characteristic curve and area under the curve (AUC), calibration curve, and decision curve were used to compare the predictive performance of different models. Results:The patient′s age ( OR=1.042, 95% CI 1.018-1.068, P=0.001), pathological grade ( OR=2.270, 95% CI 1.212-4.311, P=0.011), MGMT methylation status ( OR=0.456, 95% CI 0.238-0.866, P=0.017), and ependymal involvement ( OR=7.335, 95% CI 2.929-18.370, P<0.001) were independent influencing factors for the high-risk molecular subtype of LrGGs, and a clinical model was developed based on these factors. An SVM model was constructed based on 12 radiomics features (3 radiomics features based on CE-T 1WI and 9 radiomics features based on T 2-FLAIR). The radiomics score of the probability output by the SVM model was combined with age, pathological grade, MGMT methylation status, and ependymal involvement to develop a combined model. The AUC values of the SVM model for predicting the high-risk molecular subtype of LrGGs were 0.824 and 0.859 in the training set and test set, respectively; the AUC values of the clinical model in the training set and test set were 0.759 and 0.721, respectively; and the AUC values of the combined model in the training set and test set were 0.823 and 0.815, respectively. The combined model had a high clinical net benefit. Conclusion:The machine learning MRI radiomics model can preoperatively predict high risk molecular subtypes of LGGrs, assist in individualized treatment decisions.

OBJECTIVE To explore the effects of narrative pharmacy management on medication compliance， negative emotions， and quality of life in patients with cardiovascular disease complicated with negative emotions. METHODS A total of 49 patients with drug use problems and negative emotions attending the cardiovascular pharmacy clinic of Wuhan First Hospital from February to August 2023 were selected as the study objects， narrative pharmacy model was applied for patient management during their visits； pharmaceutical care and emotional management were performed after 2 weeks of treatment and a follow-up visit was conducted to evaluate and record the management effect one month later. RESULTS Adopting a narrative pharmacy management model， 49 patients were involved in 114 drug related consultation questions. Compared with the visit， after one month of management， the number of medication types taken by patients significantly decreased [4.00 （2.00， 6.00） vs. 3.00 （1.50， 5.00）， P＜0.05]， the incidence of adverse reactions significantly decreased （32.65% vs. 2.04%， P＜0.001）， the rate of blood pressure and lipid compliance significantly increased （30.61% vs. 95.92%， P＜0.001）， and the score of the patient’s medication compliance significantly improved （[ 3.94±2.44） vs. （6.78±2.07）， P＜0.01]. The depression score significantly decreased [3.00 （2.00， 4.50） vs. 2.00 （0.00， 3.00）， P＜0.001]， the anxiety score significantly reduced [3.00 （2.00， 4.50） vs. 1.00 （0.00， 2.00）， P＜0.001]， quality of life score was significantly improved [22.00 （19.00， 22.00） vs. 23.00 （23.00， 24.50）， P＜0.01]. In the satisfaction survey， there was a slight increase in the overall satisfaction proportion （91.84% vs. 97.96%， P＞0.05）. CONCLUSIONS The application of narrative pharmacy in cardiovascular pharmacy clinic can improve patient compliance， reduce adverse drug reactions， enhance the effectiveness of drug treatment， avoid drug interactions， effectively improve the anxiety and depression， and ultimately improve the quality of life.

Following the principles of evidence-based medicine,in accordance with the structure and drafting rules of standardized documents,based on literature research,according to the characteristics of chronic cough in children and issues that need to form a consensus,the TCM Guidelines for Diagnosis and Treatment of Chronic Cough in Children was formulated based on the Delphi method,expert discussion meetings,and public solicitation of opinions.The guideline includes scope of application,terms and definitions,eti-ology and diagnosis,auxiliary examination,treatment,prevention and care.The aim is to clarify the optimal treatment plan of Chinese medicine in the diagnosis and treatment of this disease,and to provide guidance for improving the clinical diagnosis and treatment of chronic cough in children with Chinese medicine.

Objective To investigate the expression of lncRNA SNHG8 in placenta accrete(PA)and its effect on trophoblast invasion and migration.Methods qRT-PCR was used to detect the expression of lncRNA SNHG8 in placenta tissue of 30 cases in PA group and 30 cases in control group,and the correlation between lncRNA SNHG8 expression and prenatal ultrasound score of 30 cases in PA group was analyzed.Transwell and scratch assay were used to detect the effect of lncRNA SNHG8 interference on the invasion and migration of human chorionic trophoblast cells(HTR8/SVneo cells),and western blot was used to detect the expression of MMP-2 and MMP-9.The downstream targets of lncRNA SNHG8 were predicted by StarBase software,and the expression of lncRNA SNHG8 was detected in placental tissues of the two groups.Dual luciferase reporter assay was used to detect the targeting relationship between lncRNA SNHG8 and miR-542-3p.Results Compared with that of the control group,the expression of lncRNA SNHG8 was up-regulated in the placenta tissue of the PA group(P<0.05),and it was positively correlated with prenatal ultrasound score.Interference with lncRNA SNHG8 inhibited the invasion and migration of trophoblast cells(P<0.05);the protein expression of MMP-9 and MMP-2 also decreased signifi-cantly(P<0.05).Biological prediction indicates that miR-542-3p had a binding site with lncRNA SNHG8,and miR-542-3p expression was down-regulated in PA placental tissue(P<0.05).Dual luciferase reporter assay confirmed that lncRNA SNHG8 could target miR-542-3p.Compared with si-SNHG8+inhibitor-NC,co-transfection of si-SNHG8 and miR-542-3p inhibitor enhanced the invasion and migration ability of trophoblast cells(P<0.05).Conclusion lncRNA SNHG8 is highly expressed in PA and is related to the severity of PA.LncRNA SNHG8 promotes the invasion and migration of trophoblast by regulating the level of miR-542-3p.The study suggests that lncRNA SNHG8 plays an important role in the invasion and migration of PA trophoblast cells,which is expected to be a clinical diagnostic biomarker and therapeutic target.

Objective:To explore the expression level and clinical significance of serum Hsa_circ_0089761 in patients with cervical cancer.Methods:A total of 107 cervical cancer patients, 80 cervical intraepithelial neoplasia (CIN) patients, and 60 normal control group were selected and analyzed from January 2021 to March 2023 at the Ninth Affiliated People's Hospital of Shanghai Jiao Tong University School of Medicine. We compared the levels of serum Hsa_circ_0089761, squamous cell carcinoma antigen (SCCA), and carcinoembryonic antigen (CEA) among different groups, and analyzed the relationship between the expression level of serum Hsa_circ_0089761 and the clinical and pathological characteristics of cervical cancer. The receiver operating characteristic (ROC) curve was drawn to analyze the diagnostic value of serum Hsa_circ_0089761, SCCA, and CEA levels for cervical cancer. Pearson correlation analysis was used to evaluate the correlation between serum Hsa_circ_0089761 expression levels and SCCA and CEA in cervical cancer patients.Results:The expression levels of serum Hsa_circ_0089761[(2.96±0.95) vs (1.83±0.74), (0.92±0.41)], SCCA[(9.63±1.84)ng/ml vs (2.28±0.65)ng/ml, (1.30±0.27)ng/ml], and CEA[(6.47±2.20)ng/ml vs (1.61±0.57)ng/ml, (1.15±0.12)ng/ml] in the cervical cancer group were significantly higher than those in the CIN group and the control group (all P<0.001), and the serum Hsa_circ_0089761 expression levels in the CIN group were significantly higher than those in the control group ( P<0.001). Cervical cancer patients in stages Ⅲ-Ⅳ, with low differentiation, lymph node metastasis, infiltration depth ≥1/2 of the muscle layer, positive SCCA, and positive CEA had significantly higher levels of serum Hsa_circ_0089761 expression (all P<0.05). The ROC curve analysis showed that the specificity of diagnosing cervical cancer was highest (85.00%) for Hsa_circ_0089761 ≥2.25, and the area under the ROC curve (AUC) for diagnosing cervical cancer in combination with SCCA was highest (0.932, 95% CI: 0.874-0.993), with the highest accuracy (89.30%). The sensitivity of the combination of Hsa_circ_0089761+ SCCA+ CEA in diagnosing cervical cancer was highest (96.26%). The correlation analysis results showed that the serum Hsa_circ_0089761 expression levels in cervical cancer patients were positively correlated with SCCA ( r=0.775, P<0.001) and CEA ( r=0.613, P<0.001). Conclusions:The expression level of serum Hsa_circ_0089761 in cervical cancer patients is significantly increased, which is related to clinical and pathological characteristics. The combination of Hsa_circ_0089761 and SCCA detection has high value in the diagnosis of cervical cancer.

Objective To establish methods for detection of water in rubber closures as one of the Chinese Pharmacopoeia series of standards for pharmaceutical packaging material.Methods The formulation process of determination of water in rubber closures was explained,the key contents of the standard were analyzed,and the determination results of water content by oven-drying method and Karl Fischer drying furnace-coulometric titration method were compared.Results The determination results of water content in multiple batches of rubber stopper samples by over-drying method were generally higher than that by Karl Fischer drying oven-Coulometric titration method.The latter method is highly specific and accurate,and can better reflect the true water content of rubber closures.Conclusion Two methods for determining water content in rubber closures have been developed.Enterprises can choose the appropriate method based on the intended use of their products and daily testing needs.