ObjectiveThis paper aims to analyze the variety characteristics and prescription patterns of marketed traditional Chinese patent medicines for treating abortion and provide references for new medicine development and clinical application. MethodsRelevant information of traditional Chinese patent medicines for treating abortion was systematically retrieved and collected. Microsoft Excel 2021 software was used to sort and statistically analyze the medicine syndrome types， quantity， market situation， and status of package inserts. Based on the Ancient and Modern Medical Case Cloud Platform （V2.3.9）， the medicine properties， flavors， meridian tropism， and medication characteristics of standardized prescriptions were analyzed. ResultsA total of 39 marketed traditional Chinese patent medicines for treating abortion in China were included. According to disease type， these medicines were categorized as therapeutic medicines for threatened abortion and recurrent spontaneous abortion. According to clinical function， they were categorized into three groups： fetus stabilization， blood nourishment， and adjunctive conditioning. They were also categorized into pre-pregnancy conditioning and post-pregnancy fetal maintenance by clinical intervention stage. Post-marketing research showed that only three products had undergone safety evaluations and one involved pharmacoeconomic research， indicating a general lack of standardized evidence-based data. Dosage forms were mainly pills and granules. Package insert analysis revealed that 15 products listed "contraindications"， while 28 included "precautions". Based on prescription inclusion and exclusion criteria， 25 products were selected for further analysis. Their therapeutic effects were mainly concentrated on "tonifying the kidney and spleen， replenishing Qi， and nourishing blood"， with core medicines including Paeoniae Radix Alba， Angelicae Sinensis Radix， and Atractylodis Macrocephalae Rhizoma. Most medicines were warm or neutral in nature， predominantly sweet and pungent in flavor， and mainly entered the spleen， liver， and kidney meridians. ConclusionTraditional Chinese patent medicines for treating abortion demonstrate clear clinical value. However， shortcomings remain， including insufficient post-marketing research， prescription homogeneity， and incomplete package inserts. Future efforts should establish a clinically value-oriented modern development pathway， strengthen safety surveillance and evidence evaluation， improve package inserts， and promote precision use to further enhance clinical value.

ObjectiveThis study aims to systematically review the marketed traditional Chinese patent medicines for treating chronic gastritis （CG） in China. By analyzing their variety characteristics and prescription patterns， it seeks to provide references for clinical syndrome differentiation-based drug selection， treatment method optimization， and the design of high-quality clinical research. MethodsInformation on marketed traditional Chinese patent medicines for treating CG was collected. Microsoft Excel software was used to collate and statistically analyze representative drugs for each pathological stage， market status， syndrome types， and other contents. The Ancient and Modern Medical Case Cloud Platform （V2.3.9） was employed to analyze the formula composition patterns of standardized prescriptions. ResultsA total of 141 marketed traditional Chinese patent medicines for treating CG in China were included. Based on the disease's pathological progression， they can be classified into drugs for non-atrophic gastritis， atrophic gastritis， and precancerous lesions. Post-marketing research reveals that relevant evaluation is only conducted on 17 drugs， of which 2 involve pharmacoeconomic studies and 14 possess standardized evidence-based evidence. The primary dosage forms were capsules， granules， and tablets. From the 100 prescriptions screened according to inclusion/exclusion criteria， the varieties indicated for the stomach collateral stasis syndrome in atrophic gastritis accounted for the highest proportion. The main efficacy distributions were clearing heat， detoxifying， and relieving pain by promoting Qi circulation. Core drugs included Glycyrrhizae Radix et Rhizome， Paeoniae Radix Alba， and Aucklandiae Radix. Medicinal properties were predominantly warm and neutral. Flavors were mainly bitter， pungent， and sweet. The drugs primarily entered the spleen and stomach meridians. Analysis of the package inserts reveals that 67 products list "contraindications"， 110 include "precautions"， and 23 explicitly state "adverse reactions". ConclusionTraditional Chinese patent medicines for treating CG hold unique value in clinical practice. However， currently there are challenges such as insufficient clarity in syndrome type descriptions within package inserts and a relative lack of high-level evidence-based medical evidence， as well as pharmacoeconomic evaluations. Future efforts should focus on addressing these shortcomings by advancing research on syndrome characteristics and medication patterns based on syndrome differentiation， systematically conducting pharmacoeconomic evaluations， strengthening the accumulation of high-level evidence-based evidence， and， on this basis， improving patient medication adherence. This will comprehensively enhance the clinical application value and scientific connotation of this category of drugs.

ObjectiveThis study focused on the marketed Chinese patent medicines for the treatment of Functional Diarrhea （FDr） in China and their prescription characteristics， in order to provide support for the clinical application and research and development of anti-FDr Chinese patent medicines. MethodsCollect the information of Chinese patent medicines that have been marketed to treat FDr， use Microsoft Excel 2021 software to conduct preliminary data collation and statistical analysis， and use the ancient and modern medical record cloud platform （V2.3.9） to analyze the standardized Chinese patent medicine prescriptions from the aspects of drug nature and taste， medication characteristics and prescription rules. Results147 kinds of FDr Chinese patent medicines were included in this study. There are a total of 40 varieties of FDr Chinese patent medicines suitable for children； The distribution of dosage forms is mainly pills， tablets， and capsules. 110 prescriptions were screened， among which the proportion of Chinese patent medicines for the treatment of spleen deficiency syndrome was the highest； The top three drug use frequency were licorice， Atractylodes macrocephala， and Poria cocos； The medicinal properties are mainly warm and flat， and the medicinal taste is mostly pungent， sweet and bitter， and most of them belong to the two meridians of the spleen and stomach； The association rules analysis obtains 20 strong association pairing sets； Three drug combinations were obtained by cluster analysis. ConclusionFDr Chinese patent medicine shows unique value in clinical application， especially in the field of children. However， there are still problems such as strong professionalism in the indication expression of drug instructions， limited coverage of the medical insurance catalog， and lack of high-level evidence-based medicine and pharmacoeconomic evidence. To this end， in the future， efforts should be made to build a multi-level evidence-based evidence system， improve medication compliance， and deepen research on syndrome-based medication laws， so as to enhance the clinical application value and scientific connotation of FDr Chinese patent medicines.

ObjectiveTo study the marketed products and prescription characteristics of Chinese patent medicines for rheumatoid arthritis （RA） in China， thus providing support for clinical application and innovative research and development of Chinese patent medicines for RA. MethodsInformation on marketed Chinese patent medicines for RA treatment was collected. Preliminary data organization and statistical analysis were performed in Microsoft Excel 2021. Subsequently， the standardized prescriptions were analyzed via the Ancient and Modern Medical Case Cloud Platform （V2.3.9） across dimensions including medicinal properties， flavors， channel tropisms， usage characteristics， and formulation patterns. ResultsThis study ultimately included 311 marketed Chinese patent medicines for RA in China. Their initial market launch dates were mostly concentrated from the 1990s to the early 21st century. The National Basic Medical Insurance， Work-Related Injury Insurance， and Maternity Insurance Drug Directory included 89 Chinese patent medicines for RA. The primary dosage forms were tablets， capsules， medicated wines， and pills. After screening， 237 prescriptions were obtained， and the research on their origins was lagging. Among them， the Chinese patent medicines for treating wind-cold-dampness obstruction syndrome accounted for the highest proportion. The top three most frequently used medicinals were Angelicae Sinensis Radix， Notopterygii Rhizoma et Radix， and Saposhnikoviae Radix. Medicinal properties were primarily warm and plain， and flavors were mostly pungent， sweet， and bitter. The medicinals predominantly exhibited the liver and spleen channel tropism. Association rule analysis revealed that the herb pairs with the highest confidence were Chuanxiong-Angelicae Sinensis Radix and Myrrha-Olibanum. Cluster analysis yielded three medicinal combinations. ConclusionAlthough Chinese patent medicines for RA have application advantages， issues such as narrow syndrome coverage and insufficient innovation in dosage forms exist. Future development should focus on constructing an evidence-based system， strengthening the textual research on prescription origins and the exploration of classical famous formulas， and promoting dosage form innovation and precise medication to enhance their clinical value.

ObjectiveTo analyze the phylogroups of Klebsiella pneumoniae isolates from laboratory rats and mice housed at the Laboratory Animal Center Fudan University, optimize the identification method for Klebsiella pneumoniae, and perform virulence genes detection and antimicrobial susceptibility testing, thereby providing a practical basis for microbial detection strategies and prevention and control measures in laboratory animal facilities. MethodsBetween September 2023 and September 2025, ileocecal contents were collected from laboratory rats and mice purchased from laboratory animal suppliers, from which 11 strains of Klebsiella pneumoniae were isolated and cryopreserved. These strains were tested for β-lactamase genes using multiplex PCR for phylogrouping. Furthermore, representative strains from different phylogroups were selected for biochemical tests, mass spectrometry analysis, 16S rRNA gene and tyrB gene sequencing, as well as virulence genes detection and antimicrobial susceptibility testing. ResultsMultiplex PCR detection of β-lactamase genes revealed that among 11 strains, 4 were identified as Klebsiella pneumoniae (Kp1), 4 as Klebsiella quasipneumoniae (Kp2), and 3 as Klebsiella variicola (Kp3). Kp1-Kp3 could not be differentiated using biochemical tests, mass spectrometry analysis, or 16S rRNA gene sequencing, whereas multiplex PCR of β-lactamase genes and tyrB gene sequencing enabled phylogrouping of all three. There were differences in the detection rates of capsular genes (capsule associated gene G and magnesium transport system ATP-binding protein A) and siderophore genes (Klebsiella pneumoniae iron uptake system genes) among Kp1-Kp3; susceptibility to different antibiotics also varied considerably. ConclusionKlebsiella pneumoniae phylogroups isolated from commercially produced laboratory rats and mice are similar to those in human clinical samples and likewise include multiple phylogroups of the species complex. In this study, the identification methods of Kp1-Kp3 were optimized,furthermore selected virulence genes and antimicrobial resistance in Kp1-Kp3 were preliminarily investigated, which could provide precise reference for the treatment of infections caused by different phylogroups occurring in laboratory animal facilities.

In the context of further promoting the construction of an integrated healthcare service system,traditional quantitative indicators for measuring continuity of care may have limitations.The analysis of domestic and foreign studies on the mortality rate associated with service continuity measured by quantitative indicators shows that a lack of correlation or even an inverse correlation between continuity of care and mortality.This phenomenon may be attributed to the fact that the indicators have only single dimension and unable to capture the multidimensional nature of continuity of care.Based on these findings,some ideas are proposed for the improvement of the indicators,which contribute to thoughts and suggestions on the quantitative measurement of continuity of care.

BACKGROUND: High temperatures are known to be associated with an increased risk of self-harm, but the influence of demographic changes and country-level indicators on the burden of heat-related self-harm remains unclear. This study examined the key factors driving changes in self-harm mortality linked to high temperatures and explored their impact at the country level. METHODS: This is an ecological study that analyzes data from the 2021 Global Burden of Disease (GBD) study, the World Bank, and the Climate Research Unit (CRU) were analyzed. Decomposition analyses were used to identify key factors driving changes in high temperature-related self-harm mortality between 1990 and 2021. A panel data model assessed the impact of national indicators on heat-related self-harm mortality. RESULTS: In 2021, 14,885 deaths globally were attributed to heat-related self-harm, a 41.94% increase from 1990, with low-middle SDI regions accounting for 47.84% of these deaths. While the global death rate from heat-related self-harm declined slightly over this period, South Asia and low-middle SDI regions contributed most to the decline. However, population aging exacerbated mortality rates. Demographic and meteorological factors were also linked to heat-related self-harm. CONCLUSION The global decline in heat-related self-harm mortality is largely driven by reductions in females, low-middle SDI regions, and South Asia. However, population aging and growth in these regions have added to the mortality burden, slowing the overall decline. Factors such as population density are also associated with heat-related self-harm. Targeted measures are needed to mitigate heat-induced self-harm more effectively in future.
Humans ; Self-Injurious Behavior/etiology* ; Hot Temperature/adverse effects* ; Global Health/statistics & numerical data* ; Female ; Male ; Adult ; Middle Aged ; Aged ; Young Adult ; Adolescent

Objective To construct risk models for predicting the occurrence of high altitude de-acclimatization syndrome(HADAS)in the population returning from the plateau to the plain based on different machine learning algorithms and validate the predicting efficiency of these models.Methods Field or online surveys were conducted on the individuals who had ended their high-altitude living and returned to the plain areas from November 2020 to February 2024.Basic information,chronic mountain sickness(CMS),HADAS symptoms and other data were collected.With the inclusion and exclusion criteria,totally 1 095 individuals were subjected and assigned into the modeling group.Positive events were defined as HADAS score>5.Then the modelling group was divided into a training set(n=766)and an internal test set(n=329)in a 7∶3 ratio.Least absolute shrinkage and selection operator(LASSO)regression was used to select independent variables.Risk prediction models for high-altitude adaptation symptoms were built based on 8 machine learning methods,including multiple factor logistic regression(LR),decision tree(DT),random forest(RF),eXtreme gradient boosting(XGB),support vector machine(SVM),K-nearest neighbor(KNN),light gradient boosting(LGB)and na?ve bayes(NB).The models were compared and evaluated using receiver operating characteristic(ROC)curves,calibration curves and confusion matrices in the internal test set.The final model was presented using a nomogram or Shapley additive explanations(SHAP)algorithm.In August 2024,another 132 individuals who returned to the plains and met the same criteria were recruited and served as the external validation group.Results There were 549 individuals(50.14%)out of the 1 095 subjects having HADAS symptoms.LASSO regression identified CMS score,age and duration of high-altitude residence as significant predictors.Among the 8 machine learning algorithms,the LR model was identified as the best,with an area under the curve(AUC)value of 0.819(95%CI:0.789～0.850)and 0.841(95%CI:0.799～0.884),and an F1 score of 0.801 in the internal test set,respectively,and the AUC value and F1 score of the LR model were the largest among the 8 models in the internal test set.Spiegelhalter Z test of the calibration curve of the LR model indicated that its P=0.703 in the training set while P=0.281 in the internal test set.The AUC value of the LR model was 0.867(95%CI:0.765～0.969)in the external validation set.Conclusion The LR model constructed based on indicators including CMS score,age and duration of high-altitude residence has a good overall performance in the internal test set,and good discriminating effect in the external validation set.The constructed nomogram is convenient for application.

In the context of further promoting the construction of an integrated healthcare service system,traditional quantitative indicators for measuring continuity of care may have limitations.The analysis of domestic and foreign studies on the mortality rate associated with service continuity measured by quantitative indicators shows that a lack of correlation or even an inverse correlation between continuity of care and mortality.This phenomenon may be attributed to the fact that the indicators have only single dimension and unable to capture the multidimensional nature of continuity of care.Based on these findings,some ideas are proposed for the improvement of the indicators,which contribute to thoughts and suggestions on the quantitative measurement of continuity of care.