ObjectiveTo construct and validate a clinical prediction model for Qi deficiency and blood stasis syndrome in chronic heart failure （CHF），aiming to assist clinical diagnosis and provide tools and methods for individualized treatment of CHF. MethodsThe clinical data of patients with chronic heart failure treated at Dongzhimen Hospital of Beijing University of Chinese Medicine from January 2022 to January 2024 were retrospectively collected. The patients were randomly divided into a training group and a validation group with a ratio of 7∶3. First， the least absolute shrinkage and selection operator （LASSO） regression analysis was used to preliminarily screen the predictive factors affecting the diagnosis of Qi deficiency and blood stasis syndrome in CHF. Subsequently， the Logistic regression method was applied to conduct a more in-depth and detailed analysis of these factors. Variables with P<0.05 in the results of the multi-factor Logistic regression were carefully selected and included. Based on the regression coefficients obtained from this analysis， a model was constructed， and a nomogram was accurately drawn. Using R software，the receiver operating characteristic （ROC） curve，calibration curve，and decision curve analysis （DCA） were precisely drawn. These analyses were used to comprehensively evaluate the model from three crucial aspects： discrimination，calibration，and clinical applicability. Additionally， the accuracy，specificity，sensitivity，positive predictive value，and negative predictive value of the model were meticulously calculated to conduct a more all-round and comprehensive assessment. ResultsIn total， 168 cases were successfully obtained in the training group， and 71 cases were included in the validation group. After a thorough comparison， it was found that there were no statistically significant differences in the baseline data between the two groups. After being rigorously screened by the LASSO-multivariate logistic regression method， dark red tongue，smoking history，cardiac troponin I，and N-terminal pro-B-type natriuretic peptide （NT-ProBNP） were identified as the influencing factors for diagnosing patients with the Qi deficiency and blood stasis syndrome in CHF. The constructed model demonstrated an area under the curve （AUC） of 0.812 in the training group and 0.719 in the validation group. The calibration curve showed that the predicted curve of the model was close to the actual observed curve. DCA indicated that the model could provide substantial clinical benefits for patients at the decision thresholds ranging from 0.2 to 0.9. ConclusionThe clinical prediction model for Qi deficiency and blood stasis syndrome in chronic heart failure constructed in this study shows good performance. It has certain application value in clinical practice， which may contribute to the improvement of the diagnosis and treatment of CHF patients with this syndrome.

ObjectiveStarting from the etiology， pathogenesis， and treatment strategies of endometriosis and adenomyosis， to integrate and sort out the academic characteristics of contemporary renowned experts and schools in the field of traditional Chinese medicine gynecology. MethodsAccording to the systematic review of text and opinion （SrTO） process developed by the Joanna Briggs Institute （JBI） in Australia， this paper determined literature screening criteria by searching China National Knowledge Infrastructure （CNKI）， VIP， Wanfang， and China Biomedical Literature Database. Information was extracted after literature screening， and quality evaluation was conducted using the JBI Narrative， Text， and Opinion Systematic Review Strict Evaluation Checklist. The JBI Narrative， Opinion， Text Evaluation， and Review Tool Summary Table was used for information synthesis， and data analysis and display were conducted in the form of text and charts. ResultsThe 146 articles related to 39 renowned experts and 19 articles related to 10 schools of thought were included. Research has found that contemporary experts and schools in traditional Chinese medicine gynecology consider blood stasis as the core pathogenesis in understanding the etiology and pathogenesis of two diseases and related infertility. Their viewpoints varied from multiple aspects such as clinical symptom characteristics， meridian circulation location， pathological product evolution， disease duration， emotional psychology， lifestyle habits， preference for food and drink， innate endowment， and acquired injury. In terms of treatment， it was advocated to divide the stage， treat according to different types， adapt to the times， integrate nature and humans， and combine multiple methods to treat comprehensively when necessary. It was also recommended to skillfully use insects， make good use of classic formulas and small prescriptions， pay attention to protecting the spleen and stomach and regulating emotions， and make good use of self-formulated empirical formulas for internal or external use. Besides， individualized long-term management of patients was also advocated. ConclusionThis study applies the SrTO process to systematically summarize the academic ideas of contemporary renowned experts and schools in traditional Chinese medicine gynecology regarding the causes， mechanisms， diagnosis， and treatments of endometriosis， providing a scientific and standardized reference for future theoretical exploration.

ObjectiveTo develop a predictive model and application for spontaneous passage of common bile duct stones using automated machine learning algorithms given the complexity of treatment decision-making for patients with common bile duct stones， and to reduce unnecessary endoscopic retrograde cholangiopancreatography （ERCP） procedures. MethodsA retrospective analysis was performed for the data of 835 patients who were scheduled for ERCP after a confirmed diagnosis of common bile duct stones based on imaging techniques in Changshu First People’s Hospital （dataset 1） and Changshu Traditional Chinese Medicine Hospital （dataset 2）. The dataset 1 was used for the training and internal validation of the machine learning model and the development of an application， and the dataset 2 was used for external testing. A total of 22 potential predictive variables were included for the establishment and internal validation of the LASSO regression model and various automated machine learning models. The area under the receiver operating characteristic curve （AUC）， sensitivity， specificity， and accuracy were used to assess the performance of models and identify the best model. Feature importance plots， force plots， and SHAP plots were used to interpret the model. The Python Dash library and the best model were used to develop a web application， and external testing was conducted using the dataset 2. The Kolmogorov-Smirnov test was used to examine whether the data were normally distributed， and the Mann-Whitney U test was used for comparison between two groups， while the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. ResultsAmong the 835 patients included in the study， 152 （18.20%） experienced spontaneous stone passage. The LASSO model achieved an AUC of 0.875 in the training set （n=588） and 0.864 in the validation set （n=171）， and the top five predictive factors in terms of importance were solitary common bile duct stones， non-dilated common bile duct， diameter of common bile duct stones， a reduction in serum alkaline phosphatase （ALP）， and a reduction in gamma-glutamyl transpeptidase （GGT）. A total of 55 models were established using automated machine learning， among which the gradient boosting machine （GBM） model had the best performance， with an AUC of 0.891 （95% confidence interval： 0.859‍ ‍—‍ ‍0.927）， outperforming the extreme randomized tree mode， the deep learning model， the generalized linear model， and the distributed random forest model. The GBM model had an accuracy of 0.855， a sensitivity of 0.846， and a specificity of 0.857 in the test set （n=76）. The variable importance analysis showed that five factors had important influence on the prediction of spontaneous stone passage， i.e.， were solitary common bile duct stones， non-dilated common bile duct， a stone diameter of <8 mm， a reduction in serum ALP， and a reduction in GGT. The SHAP analysis of the GBM model showed a significant increase in the probability of spontaneous stone passage in patients with solitary common bile duct stones， non-dilated common bile duct， a stone diameter of <8 mm， and a reduction in serum ALP or GGT. ConclusionThe GBM model and application developed using automated machine learning algorithms exhibit excellent predictive performance and user-friendliness in predicting spontaneous stone passage in patients with common bile duct stones. This application can help avoid unnecessary ERCP procedures， thereby reducing surgical risks and healthcare costs.

OBJECTIVE To systematically investigate the current status and effectiveness of the standardized on-the-job training program for community clinical pharmacists in Shanghai， and to provide a scientific basis for optimizing the training scheme. METHODS A questionnaire survey was conducted to collect the data from trainees and mentor pharmacists who participated in the program between 2016 and 2024. The survey examined their basic information， evaluations of the training scheme， satisfaction with training outcomes， and suggestions for improvement. Statistical analyses were also conducted. RESULTS A total of 420 valid responses were collected， including 340 from trainees and 80 from mentor pharmacists. Before training， only 30.29% of trainees were engaged in clinical pharmacy-related work， whereas this proportion increased to 73.24% after training. Most mentor pharmacists had extensive experience in clinical pharmacy （76.25% with ≥5 years of experience） and mentoring （78.75% with ≥3 teaching sessions）. Totally 65.59% of trainees and 55.00% of mentor pharmacists believed that blended training yielded the best learning outcomes. Over 80.00% of both trainees and mentor pharmacists considered the overall training duration， theoretical study time， and practical training time to be reasonable. More than 95.00% of trainees and mentor pharmacists agreed that the homework and assessment schemes were appropriate. Trainees rated the relevance of training content to their actual work highly （with an average relevance score ＞4.5）， though they perceived the chronic disease medication therapy management module as significantly more challenging than the prescription review and evaluation module and the home-based pharmaceutical care module. The average satisfaction score of trainees and mentor pharmacists with the training effectiveness of each project was above 4 points， indicating a high overall satisfaction. Inadequate provision of teaching resources was unanimously recognized by trainees and mentor pharmacists as the key area requiring improvement. CONCLUSIONS The standardized on-the-job training program for community clinical pharmacists in Shanghai has contributed to improving pharmaceutical services in community healthcare settings. However， ongoing improvements must concentrate on content design， resource development， and faculty cultivation.

Objective To explore the association of working hours and shift work with occupational stress, fatigue accumulation, and depressive symptoms among primary community medical workers. Methods A total of 516 medical workers from five community medical service centers in Pudong New Area, Shanghai City, were selected as the research subjects using the convenience sampling method. The Core Scale of Occupational Stress Measurement, the Workers' Fatigue Accumulation Self-diagnosis Questionnaire, and the Patient Health Questionnaire were used to assess research subjects' occupational stress, fatigue accumulation, and depressive symptoms, respectively. Results Long working hours (>40 hours/week) were reported by 50.4% of workers among the research subjects, while shift works were reported by 16.9% of the workers. The detection rates of occupational stress, fatigue accumulation, and depressive symptoms were 26.6%, 41.7%, and 30.8%, respectively. Multivariate logistic regression analysis result revealed that, after adjusting for confounders such as age, sex, and education level, longer working hours were associated with higher risks of occupational stress, fatigue accumulation, and depressive symptoms (all P<0.05). Shift workers in community medical centers had higher risks of occupational stress, fatigue accumulation, and depressive symptoms compared with non-shift workers (all P<0.05). Conclusion Long working hours and shift work could increase the risks of occupational stress, fatigue accumulation, and depressive symptoms among community medical workers.

With the rapid advancement of artificial intelligence technology, chatbots have shown great potential in the healthcare sector. From personalized health advice to chronic disease management and psychological support, chatbots have demonstrated significant advantages in improving the efficiency and quality of healthcare services. As the scope of their applications expands, the relationship between technological complexity and practical application scenarios has become increasingly intertwined, necessitating a more comprehensive evaluation of both aspects. This paper, from the perspective of he althcare applications, systematically reviews the technological pathways and development of chatbots in the medical field, providing an in-depth analysis of their performance across various medical scenarios. It thoroughly examines the advantages and limitations of chatbots, aiming to offer theoretical support for future research and propose feasible recommendations for the broader adoption of chatbot technologies in healthcare.

OBJECTIVE To compare the efficacy and safety of Saccharomyces boulardii and Bifidobacterium triple live bacteria in the treatment of pediatric diarrhea. METHODS Retrieved from PubMed， Embase， the Cochrane Library， CBM， Wanfang data， CNKI and VIP， randomized controlled trials （RCTs） about S. boulardii （S. boulardii group） versus Bifidobacterium triple liver bacteria （Bifidobacterium group） were collected. After screening the literature， extracting data and evaluating the quality， meta-analysis was performed by using RevMan 5.3 software. RESULTS A total of 9 RCTs were included， involving 898 patients. Results of meta-analysis showed there was no statistical significance in total response rate [OR＝1.69， 95%CI （0.93， 3.09）， P＝0.09]， duration of diarrhea [MD＝－1.39， 95%CI （－3.35， 0.57）， P＝0.16]， the time of abdominal pain disappearance [MD＝0.09， 95%CI（－0.87， 1.05），P＝0.86] or the incidence of adverse reactions [OR＝0.65， 95%CI （0.05， 8.03）， P＝0.74]. The number of stools in S. boulardii group was significantly less than Bifidobacterium group [MD＝－0.91， 95%CI （－1.80， －0.02）， P＝0.04]. The results of subgroup analysis showed that the duration of diarrhea in children with antibiotic-associated diarrhea in S. boulardii group was significantly shorter than Bifidobacterium group （P＜0.05）. CONCLUSIONS The efficacy and safety of S. boulardii are similar to those of Bifidobacterium in the treatment of diarrhea， but S. boulardii is better than Bifidobacterium in terms of stool number， the duration of diarrhea in children with antibiotic-associated diarrhea.

Objective:Based on the needs of advanced nursing practice development, to establish an indicator system of role function of position of oncology genetic nurses suitable for our national condition, and to provide a basis for position establishing of nocology genetic nurses.Methods:Initial indexes were generated through the literature review and semi-structured interviews. From September to December 2022, two rounds of expert consultations and analytic hierarchy process were conducted to establish the evaluation index for role function of position of oncology genetic nurses.Results:A total of 43 experts were included in the study, the response rates of 2 rounds were 93.62%(44/47) and 97.73%(43/44), and the authority coefficients of the experts were 0.821 and 0.853. The Kendall′s coefficients of concordance for the 2 rounds of consultations were 0.100-0.150 (all P<0.01) and 0.101-0.237 (all P<0.01). Finally, the role function system of position for oncology genetic nurses was formed, which consisted of 5 first-level indexes, 17 second-level indexes and 86 third-level indexes. Conclusions:The system of role function of position for oncology genetic nurses is reasonable, scientific and reliable, professional and specific, which can provide a theoretical reference for the development of advanced nursing practice on hereditary oncology in China.

BACKGROUND:The clinical manifestation of acute radiation skin injury is recurrent necrotic ulcers,and its pathogenesis is still not fully understood.The establishment of a suitable animal model will have important clinical implications for the study of its pathogenesis,prevention and treatment. OBJECTIVE:To establish a model of acute β-ray radiation skin injury and to investigate the mechanism of injury. METHODS:Sixty-nine Sprague-Dawley rats were randomly divided into 30,45,60 Gy 32P-β-ray groups(n=21 per group)and control group(n=6).A single local irradiation of the back of the rats was performed using 32P radionuclide.The control group was operated in the same way as the irradiated groups except that it was not irradiated.The body mass and skin appearance of the rats were measured at 7,15,30,45,and 60 days after irradiation.Three rats from each group were selected at each observation time point.The skin injury was observed by hematoxylin-eosin staining,Masson staining,transmission electron microscopy,and TUNEL assay.P53,Bcl-2 and Bax protein levels in the skin were measured by immunohistochemistry and western blot assay. RESULTS AND CONCLUSION:There was no accidental death after irradiation,and the body mass of rats showed a gradual increase.The rats showed different degrees of epidermal necrosis,inflammatory cell infiltration,reduction of hair follicles and appendages,and collagen fibrillation,which were evident at 60 and 45 Gy.The levels of serum inflammatory factors,interleukin-6 and tumor necrosis factor-α,were significantly increased in a dose-dependent manner.Under the electron microscope,there are varying degrees of mitochondrial reduction,vacuolization and nuclear pyknosis in the cells.The degree of cell apoptosis showed a certain dose-dependence.Immunohistochemistry and western blot results showed an increase in the expression of P53 and Bax proteins and a decrease in the expression of Bcl-2 protein in the skin after irradiation.There were significant differences between the 60 Gy group and the 45 Gy and 30 Gy groups(P＜0.05).To conclude,irradiation with 60 Gy and 45 Gy 32P radionuclide on the back of rats could successfully establish a practically pre-clinical animal model,and the mechanism is related to the up-regulation of P53 and Bax and the down-regulation of Bcl-2.This model can provide a reference for the establishment of animal models for the study of the mechanism of radiation skin injury and its prevention and treatment.

Objective To mine the adverse drug events(ADE)signal of avatrombopag,an effective drug for thrombocytopenia treatment,based on real world data in order to provide reference for its clinical safety application.Methods The OpenVigil2.1 pharmacovigilance platform was used to obtain the ADE report data of avatrombopag from May 2018 to March 2023 in the database of FDA adverse event reporting system(FAERS).The ADE signals were classified and described by the system organ class(SOC)and preferred term(PT)of the ADE terminology set in the Medical Dictionary for Regulatory Activities(MedDRA),and reporting odds ratio(ROR)and UK Medicines and Healthcare Products Regulatory Agency(MHRA)comprehensive standard were used to detect the positive ADE signals.Results A total of 1 879 ADE reports related to avatrombopag were obtained,24 SOCs were involved,and 28 positive ADE signals were detected at PT level.Among these signals,the strongest ones were renal vein thrombosis,portal vein thrombosis and graft versus host disease,while the reports accounting for the largest numbers were headache,fatigue and asthenia.There were 8 ADE signals discovered newly,that is,seasonal allergy,back disorder,musculoskeletal discomfort,flatulence,hypersomnia,rash macular,emotional disorder,and rhinorrhoea.Conclusion For clinical use of avatrombopag,clinicians should not only concern the risk of thrombosis,but also pay close attention to ADE signals such as seasonal allergy,back disorder,musculoskeletal discomfort,flatulence,hypersomnia,rash macular,emotional disorder,and rhinorrhoea that are not documented in the instructions.