OBJECTIVE To establish a Chinese drug-related problem （DRP） classification system applicable to pharmacist-led pharmaceutical care in China， providing pharmacists with an effective and practical tool for pharmaceutical care. METHODS A multi-stage process was employed to construct the DRP classification system， including literature review and analysis， comparison of existing classification systems， refinement of classification items and framework development， two rounds of standard case validation， expert discussion， and system revision. The Fleiss′ kappa test was used to calculate the consistency coefficient κ， assessing the reliability of pharmacists participating in evaluating the classification system. An electronic questionnaire comprising six items was employed to evaluate the system’s applicability. RESULTS The constructed Chinese DRP classification system comprised six sections [problem（including potential problems）， DRP evaluation， cause （including possible causes of potential problems）， intervention， acceptance of intervention and DRP status]， with 24 primary codes and 96 secondary codes. In the first round of case validation， κ values exceeded 0.4 for all sections except “intervention” and “DRP status”. In the second round， κ values exceeded 0.4 for all sections. In the applicability evaluation of the classification system， positive ratings （“strongly agree” or “agree”） exceeded 85% for all items. Specifically， positive ratings for“the classification system can provide appropriate category selection”，“ the classification system is comprehensive”，“ the classification system is convenient to use” and “the classification system is highly satisfactory” exceeded 92%. CONCLUSIONS The Chinese DRP classification system developed demonstrates both high reliability and applicability， providing an effective and practical classification tool for pharmacists in China to conduct pharmaceutical care.

ObjectiveTo investigate the mechanism of Zuogui Wan （ZGW） in improving ovarian inflammatory microenvironment and stemness of ovarian germline stem cells （OSCs） for treating ovarian aging via the cyclic guanosine monophosphate/adenosine monophosphate synthase （cGAS）/stimulator of interferon genes （STING） signaling pathway. MethodsForty C57BL/6 female mice were randomly divided into a blank group， a model group， a low-dose ZGW group （2.7 g·kg^-1）， a high-dose ZGW group （5.4 g·kg^-1）， and an estradiol valerate group （0.15 mg·kg^-1）， with 8 mice in each group. Except the blank group， all other groups received a single intraperitoneal injection of cyclophosphamide at 120 mg·kg^-1 to establish an ovarian aging mouse model. After successful modeling， each group was continuously administered for 4 weeks， once daily. The physiological status of the mice was observed， and the ovarian index was calculated. The estrus cycle of the mice was monitored. Hematoxylin-eosin （HE） staining was used to observe pathological changes in ovarian tissue. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum sex hormone levels. Serum inflammatory factors interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， and mouse interleukin-6 （IL-6） levels were detected using kits. Western blot was used to detect the protein expression of ovarian cGAS， STING， p-STING， TANK-binding kinase 1 （TBK1）， p-TBK1， interferon-induced transmembrane protein 3 （Fragilis）， and Vasa homolog protein （MVH）. Quantitative real-time polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of inflammatory factors in ovarian tissue. Immunofluorescence double labeling was performed to locate OSCs in ovarian tissues， and fluorescence intensities of OSCs markers MVH and octamer binding transcription factor 4 （Oct4） were calculated. ResultsCompared with the blank group， the model group showed reduced body weight， ovarian wet weight， and ovarian index （P<0.01） and a disordered estrus cycle （P<0.01）. In addition， the levels of serum follicle-stimulating hormone （FSH）， TNF-α， IL-6， and IL-1β were increased （P<0.01）， while anti-Müllerian hormone （AMH） and estradiol （E₂） levels were decreased （P<0.01）. The protein expression of cGAS， p-STING/STING， and p-TBK1/TBK1 in ovarian tissue was increased （P<0.05， P<0.01）， while that of OSCs stemness factors MVH and Fragilis was reduced （P<0.01）. Immunofluorescence indicated a reduction in MVH and Oct4 expression in OSCs （P<0.01）. The mRNA expression of inflammatory factors TNF-α， IL-6， and IL-1β in ovarian tissue was increased （P<0.05， P<0.01）. Compared with the model group， the treatment groups exhibited improved body weight， ovarian wet weight， and ovarian index （P<0.05） and a reduced rate of estrus cycle disorder （P<0.05， P<0.01）. The levels of serum FSH， TNF-α， IL-6， and IL-1β were decreased （P<0.05， P<0.01）， while AMH and E₂ levels were increased （P<0.01）. The protein expression levels of cGAS， p-STING/STING， and p-TBK1/TBK1 in ovarian tissue were decreased （P<0.05）， while the protein expression of MVH and Fragilis was increased （P<0.05）， and the fluorescence intensities of MVH and Oct4 were increased （P<0.05， P<0.01）. The mRNA expression of inflammatory factors in ovarian tissue was decreased （P<0.05）. ConclusionZGW alleviate ovarian inflammatory response， regulate ovarian microenvironment homeostasis， and maintain stemness of OSCs in ovarian aging mice probably by modulating the cGAS-STING signaling pathway， thereby improving ovarian function and delaying ovarian aging.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

Objective:To evaluate the efficacy of Tongdu Tiaoshen acupuncture combined with low-frequency electrical pulse in the treatment of neurogenic bladder (NB) caused by spinal cord injury (SCI); To explore its effects on urodynamics.Methods:A randomized controlled trial study was conducted. A total of 116 patients with NB caused by SCI in the First Affiliated Hospital of Hunan University of Chinese Medicine from January 2022 to June 2024 were selected as the observation objects and divided into 2 groups with random number table method, with 58 cases in each group. On the basis of conventional bladder function training, the control group was given low-frequency electronic pulse therapy, while the observation group was treated with the Tongdu Tiaoshen method on the basis of the control group. Both groups were treated continuously for 3 months. The urination conditions of the patients were observed before and after the treatment respectively, and the residual urine volume, single urine volume within 24 hours, the number of urine leaks within 24 hours, and the number of urinations within 24 hours were recorded; urodynamic parameters such as bladder volume, urine flow rate, detrusor pressure, bladder compliance, and detrusor contractility were measured using a urodynamic analyzer; the severity of NB symptoms was evaluated using the Chinese version of the Neurogenic Bladder Symptom Scale (NBSS), and the quality of life was evaluated using the Chinese version of the Short Form Health Assessment Scale (SF-Qualiveen). The levels of IL-1β, IL-6 and TNF-α were detected by ELISA. Adverse reactions were recorded during the treatment period and the clinical efficacy was evaluated.Results:The total effective rate was 91.38% (53/58) in the observation group and 75.86% (44/58) in the control group. There was a statistically significant difference between the two groups ( χ2=5.10, P=0.024). After treatment, the residual urine volume, single urine volume within 24 hours, frequency of urine leakage within 24 hours, and frequency of urination within 24 hours in the observation group were lower than those in the control group ( t values were -15.68, 3.75, -3.81, and -7.54 respectively, P<0.01). The bladder capacity, urine flow rate, detrusor pressure, bladder compliance and detrusor contractility were higher than those of the control group ( t values were 11.04, 7.49, 9.76, 5.65 and 4.36 respectively, P<0.01), while the NBSS score and SF-Qualiveen score were lower than those of the control group ( t values were -10.82 and -9.83 respectively, P<0.01). No obvious adverse reactions occurred in either group during the treatment period. Conclusion:Tongdu Tiaoshen acupuncture combined with low-frequency electrical pulses can improve the bladder function of NB caused by SCI, restore urodynamics, and improve the quality of life. Its mechanism may be related to the inhibition of inflammatory responses.

Objective To investigate the mechanism of Zishen Yutai Pills in the treatment of premature ovarian insufficiency(POI)by combining network pharmacology,bioinformatics analysis and molecular docking technology.Methods Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),HERB Database and Traditional Chinese Medicines Integrated Database(TCM-ID)were used to search and screen the active ingredients of Zishen Yutai Pills;PubChem and Swiss Target Prediction were used to predict the action targets of drug;Human Gene Database(GeneCards)and Comparative Toxicogenomics Database(CTD)were utilized to obtain the associated targets of POI;differential expression genes(DEGs)and weighted gene co-expression network(WGCNA)were performed with the help of R language to analyze transcriptome data of POI in GEO database,then the characteristic expression genes of POI were obtained,and the final POI disease targets were obtained after mapping with POI related targets.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were performed with the help of the Database for Annotation,Visualization,and Integrated Discovery(DAVID);protein-protein interactions were analyzed using the STRING database;Cytoscape 3.9.1 was used to construct"drug-component-target"to screen the core components and core targets of drugs;finally,MOE2019 molecular docking was used to test the effect correlation between the core components of the drugs and the targets.Results A total of 111 active ingredients,3 core ingredients and 36 POI targets,including 3 core targets,were screened in Zishen Yutai Pills.GO biological function analysis contained 92 enrichment results,mainly involving inflammatory response,positive regulation of calcium signaling pathway,steroid hormone production,etc.,KEGG enrichment obtained 15 pathways,mainly including interaction of viral proteins with cytokines and cytokine receptors,tryptophan metabolism,calcium signaling pathway,ovarian steroidogenesis,steroid hormone biosynthesis,chemokines,and other signaling pathways.The results of molecular docking indicated that arachidonate,isorhamnetin and quercetin can be well bined with CYP19A1,ESR2 and PI3K.Conclusion Zishen Yutai Pills play roles in treatment of POI by core components such as arachidonate,isorhamnetin and quercetin through acting on targets such as CYP19A1,ESR2 and PI3K,calcium signaling pathway,ovarian steroid hormone production,cytochrome P450 metabolism of xenobiotics,chemokines and other signaling pathways,and the inhibition of inflammation,regulation of oxidative stress,regulation of steroid hormone production and metabolism and other biological processes and other biological processes.

Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

Objective To study the predictive value of the Prognostic Assessment Scale for Patients with Spontaneous Intracerebral Hemorrhage(ICH-LR2S2)and the Prehospital Risk Assessment Scale for Prehospital Deterioration Risk Assessment Scale(ICH-APS)for the development of stroke-associated pneu-monia(SAP)in patients with spontaneous intracerebral hemorrhage.Methods A total of 349 patients with spontaneous intracerebral hemorrhage who were hospitalized for the first time in this hospital from July 2023 to July 2024 were selected as the research subjects.The general demographic data and medical documentations of the patients were collected,and ICH-LR2S2 score and ICH-APS score were carried out within 48 hours after admission.According to whether pneumonia occurred within 7 days after admission,the patients were divided into the SAP group and the non-SAP group,and the diagnostic efficiency of the ICH-LR2S2 score and ICH-APS score for SAP in patients with spontaneous intracerebral hemorrhage was evaluated.Results Among the 349 patients with spontaneous intracerebral hemorrhage,98 patients(28.08％)had pneumonia.The results of multivariate logistic regression analysis showed that age,history of chronic obstructive pulmonary disease(COPD),nasogastric tube,tracheal intubation,National Institutes of Health Stroke Scale(NIHSS)score,Glasgow Coma Scale(GCS)score,C-reactive protein,fasting blood glucose,dysphagia,ICH-LR2S2 score,ICH-APS-A score,and ICH-APS-B score were independent influencing factors for SAP in patients with spontane-ous intracerebral hemorrhage(P＜0.05).The results of the receiver operating characteristic(ROC)curve showed that the ICH-LR2S2 score had the highest diagnostic efficiency for SAP in patients with spontaneous intracerebral hemorrhage,with an area under the curve(AUC)of 0.837,a sensitivity of 0.827,a specificity of 0.783,and a Youden index of 0.610.Conclusion ICH-LR2S2 score has a high predictive value for the occur-rence of SAP in patients with spontaneous intracerebral hemorrhage.

Objective:This study aimed to examine the association between malnutrition diagnosed by the Global Leadership Initiative on Malnutrition(GLIM)criteria and clinical outcomes in surgical patients,as well as to assess its prognostic impact on postoperative adverse clinical outcomes.Methods:Electronic databases,including PubMed,Embase,Web of Science,CINAHL,Scopus,The Cochrane Library,Clinical Trials,CNKI,Wanfang Data Knowledge Service Platform,and the Chinese Biomedical Literature Database,were systematically searched.Relevant cohort studies utilizing GLIM criteria to preoperatively diagnose malnutrition in surgical inpatients were included.The exposed group comprised surgical patients diagnosed with preoperative malnutrition using GLIM criteria,while the control group consisted of surgically treated patients without malnutrition as per GLIM criteria.Literature quality was evaluated using the Newcastle-Ottawa Scale(NOS),and meta-analysis was performed using Review Manager 5.4 software.Results:Fourteen literatures were included,with a total sample size of 10,045 patients.Meta-analysis revealed that the malnourished group had a higher incidence of postoperative complications compared to the non-malnourished group[risk ratio(RR)=1.81,95%CI:1.66～1.98),P<0.00001].Additionally,the incidence of severe complications was significantly higher in GLIM-diagnosed malnourished patients.The malnourished group exhibited poorer overall survival[hazard ratio(HR)=1.90,95%CI:1.55～2.34,P<0.00001]and disease-free survival[HR=2.25,95%CI:1.02～4.93,P=0.04]compared to the non-malnourished group.Conclusion:GLIM-diagnosed malnutrition is significantly associated with adverse clinical outcomes in surgical patients,increasing postoperative complication rates and reducing overall and disease-free survival.The GLIM criteria demonstrate value in predicting adverse clinical outcomes in this population.Further high-quality studies are warranted to validate these findings.

The human oral microbiota includes over 700 microorganisms such as fungi, bacteria, archaebacteria, and viruses. The interaction between fungi and bacteria, as well as their impact on the host immune system, is currently a popular topic in the field of oral disease research. Porphyromonas gingivalis (P.g) is the key pathogenic bacterium of chronic periodontitis, while Candida albicans (C.a) is a common opportunistic pathogen. P.g and C.a are associated with various oral diseases. A review of the literature suggests that P.g and C.a synergistically increase the amount of biofilm. They adhere to each other, promoting the formation of mixed biofilms. At the same time, C.a can utilize its dense hyphae and metabolic activities to consume oxygen, providing a low-oxygen microenvironment for P.g, thereby enhancing its vitality and virulence. C.a and P.g can also enhance their virulence through heme competition mechanisms and maintain the normal morphology of P.g by extracellular polysaccharides. In addition, P.g and C.a can synergistically invade the host and escape from the host’s immune system, ultimately leading to a state of chronic infection in the host. Based on the interactions of P.g and C.a, numerous studies on prevention and treatment strategies have been conducted, including those of various composite materials and natural plants. However, such drugs are mostly limited to phenotypes and suffer from poor selectivity, thus resulting in a lack of specific drugs and research on their mechanisms. This review aims to explore the latest advances in the bacterial-fungal interactions, highlighting the roles of P.g and C.a in oral diseases, emphasizing the importance of developing treatment strategies for co-infection of P.g and C.a, and providing new ideas for the prevention and treatment of related diseases.

Critically ill patients often experience significant skeletal muscle wasting due to prolonged bed rest, metabolic disorders, inflammatory responses and malnutrition, which affects the patient's mobility and may also lead to increased mortality. Timely and accurate assessment of muscle status is important for optimizing treatment strategies and improving patient prognosis. There are various limitations in the current methods of assessing muscle mass, and muscle ultrasound, as a noninvasive, convenient, low-cost and suitable technique for bedside monitoring, has received increasing attention for its application in muscle assessment of critically ill patients. However, there are still a number of challenges in its practical application, such as the lack of uniform standards for the measurement method, the high dependence on the operation, and the reproducibility of the data that needs to be optimized, and so on. The aim of this article is to systematize the research progress of muscle ultrasound in muscle assessment of critically ill patients, and to discuss the advantages and limitations of its clinical application, in order to provide a scientific basis for future research and clinical practice.
Humans ; Critical Illness ; Ultrasonography ; Muscle, Skeletal/diagnostic imaging*