OBJECTIVE To explore clinical characteristics and risk factors of drug-induced hypofibrinogenemia， providing a reference for rational clinical drug use. METHODS Retrospective case analyses literature on drug-induced hypofibrinogenemia were collected from domestic and international databases from their inception to December 31， 2024. The patients’ gender， age， fibrinogen （FIB） levels before and after treatment， drug types， the incidence of drug-induced hypofibrinogenemia， time of occurrence， bleeding rates， clinical manifestations， risk factors， and protective factors were all analyzed. RESULTS A total of 40 retrospective case analysis studies were included， involving 17 313 patients. Patient age ranged from 0.83 to 78.40 years， with males accounting for 16.90%-81.00%. The involved drugs comprised 5 categories and 13 specific agents， including tigecycline， snake venom hemocoagulase， tocilizumab， and alteplase， etc. The incidence of drug-induced hypofibrinogenemia ranged from 0 to 100%， occurring between 2 hours and 9 months after drug administration， and FIB levels rebounded in most patients after drug discontinuation. The bleeding rate varied from 0% to 91.30%， including epistaxis， airway bleeding， gastrointestinal bleeding， and cerebral hemorrhage. Risk factors included high drug dosage， prolonged treatment duration， abdominal infection， advanced age， and low baseline FIB levels. Protective factors were only mentioned in studies on tigecycline， including skin and soft tissue infections and high baseline FIB levels. CONCLUSIONS Drug-induced hypofibrinogenemia is commonly associated with tigecycline， hemocoagulase， and tocilizumab. Its clinical features vary depending on the drug， and risk factors include high drug dosage， prolonged treatment， low baseline FIB levels， and advanced age. For high-risk medications， individualized medication management and monitoring of FIB levels are recommended.

OBJECTIVE To investigate the establishment and promotion of a new standardized management model for anti- osteoporosis medication after fragility fracture surgery by resident clinical pharmacists， and provide references for resident pharmacists to carry out clinical pharmaceutical services. METHODS From July 2023 to March 2024，595 post-brittle fracture surgery patients were enrolled. Using the PDCA （plan-do-check-act） cycle，resident clinical pharmacists identified issues and conducted investigations in clinical practice. Through integrating clinical pharmacist intervention services before， during and after treatment， a medication treatment pathway was developed， thereby establishing a standardized management model for anti- osteoporosis treatment following fragility fracture surgery. Leveraging the National Brittle Fracture Big Data Platform （under the National Clinical Research Center for Orthopedics and Sports Rehabilitation）， a dedicated data module was constructed， providing big data support to evaluate the efficacy of this pharmaceutical care model. RESULTS Continuous PDCA cycle driven improvements significantly increased the proportion of osteoporosis diagnosis （from 9% before intervention to 81%） and proportion of drug treatment （from 4% to 75%）.The proportions of bone density and bone metabolism testing also rose markedly，positively impacting long-term patient outcomes. CONCLUSIONS The establishment of a standardized management model for anti- osteoporosis treatment following fragility fracture surgery by resident clinical pharmacists has enhanced clinicians’ diagnostic and therapeutic capabilities for osteoporosis， ensures rational medication use in osteoporosis patients， and demonstrates significant potential for widespread adoption and application.

Objective: To evaluate the efficacy and safety of plasma exchange (PE) in thymoma-associated myasthenia gravis (MG), thereby to provide theoretical support for its application in the treatment of thymoma-associated MG. Methods: A total of 133 patients with thymoma-associated MG admitted from January 2018 to September 2024 were retrospectively analyzed. Patients were matched using propensity score to reduce selection bias, yielding 22 matched pairs for both PE group (n=22) and non-PE group (n=22). Patient characteristics including gender, age of disease onset, course of disease, history of thymoma resection, clinical absolute scores [clinical absolute scores (CAS) and clinical relative scores (CRS)], and synchronized immunotherapy regimen of the two groups were analyzed. The CAS scores before and after treatment were compared between the two groups, and the CRS was used to assess the treatment efficiency. Safety of the two treatment regimens were also compared. Continuous variables were compared using the t-test or ANOVA, while categorical data were compared by the chi-square test. Results: A total of 133 patients were included and divided into two groups according to whether they underwent plasma exchange treatment: the PE group (n=22) and the non-PE group (n=111). To exclude bias caused by large difference in the number of cases between the two groups, we performed propensity score matching. After matching, the number of cases in both groups was 22. There was no significant difference in baseline clinical characteristics between the two groups (P>0.05), including gender, age of onset, duration of disease course, history of thymectomy and baseline CAS score before treatment. Compared to the non-PE group, patients in the PE group showed more significant improvement in CAS score (5.09±1.95 vs 3.59±1.50, P<0.05) and a higher CRS score (75.00% vs 50.00%, P<0.001). Compared to the non-PE group, PE group had significantly longer ICU stay, longer hospital stay and higher hospitalization cost (P<0.05). There was no statistically significant difference in adverse events between the two groups during treatment (P>0.05). During long-term follow-up, both the PE and non-PE groups showed relatively low 1-, 3-, and 5-year recurrence rate, with no significant difference between the two groups (P>0.05). Conclusion: This study indicates that plasma exchange has clear value in the treatment of patients with thymoma-associated myasthenia gravis. It can not only significantly improve patients' muscle strength to alleviate motor dysfunction and enhance quality of life, but also does not significantly increase the incidence of adverse reactions. Therefore, it can be regarded as one of the preferred treatment options that achieve a "balance between efficacy and safety" for such patients, and provides an important basis for optimizing treatment strategies, improving prognosis, and promoting the application of subsequent treatment regimens.

Berberine (BBR) is the main pharmacological active ingredient of Coptidis, which has hypoglycemic effect, but its clinical application is limited due to its poor oral bioavailability. Polyphenols, derived from cinnamon, are beneficial for type 2 diabetes mellitus (T2DM). The combination of both may have an additive effect. The aim of this study was to investigate the hypoglycemic effect and mechanism of combined medication in diabetic rats. The modeling rats were randomly divided into 5 groups (berberine group, cinnamon group, combined group, metformin group, diabetic control group) and normal control group. The animal experiments were approved by the Animal Ethics Committee (approval number: HMUIRB2022003). The subjects were given orally, and the control group was given equal volume solvent and body weight was measured weekly. Thirty days after administration, oral glucose tolerance test and insulin sensitivity test were performed, and fasting blood glucose (FBG), glycated serum protein (GSP), and serum insulin (INS) levels were detected; high-throughput sequencing technology was used to detect intestinal microbiota structure; real-time quantitative PCR (RT-qPCR) and Western blot were used to detect G protein-coupled receptor 5 (TGR5) and glucagon-like peptide-1 (GLP-1) expression levels. The results showed that, compared with the diabetic control group, the levels of FBG (P < 0.01) and GSP (P < 0.01) in the combined group were lower, and the insulin resistance was improved, which was better than that in the berberine group. Combined treatment increased the relative abundance of Bacteroides, Prevotella and Lactobacillus, reversed the decrease in Lactobacillus in the berberine alone induction group, and the combination of the two could promote the expression of TGR5 and GLP-1. In summary, the combined application of cinnamon and berberine can regulate glucose metabolism better than the application of berberine alone. Berberine combined with cinnamon can improve the function of pancreatic islet β cells in diabetes mellitus type 2 rats by changing the intestinal microbiota, increasing the expression of TGR5 and GLP-1 proteins, and thereby better regulating glucose metabolism.

ObjectiveTo investigate the role and possible mechanism of action of rhubarb decoction （RD） retention enema in improving inflammatory damage of brain tissue in a rat model of mild hepatic encephalopathy （MHE）. MethodsA total of 60 male Sprague-Dawley rats were divided into blank group （CON group with 6 rats） and chronic liver cirrhosis modeling group with 54 rats using the complete randomization method. After 12 weeks， 40 rats with successful modeling which were confirmed to meet the requirements for MHE model by the Morris water maze test were randomly divided into model group （MOD group）， lactulose group （LT group）， low-dose RD group （RD1 group）， middle-dose RD group （RD2 group）， and high-dose RD group （RD3 group）， with 8 rats in each group. The rats in the CON group and the MOD group were given retention enema with 2 mL of normal saline once a day； the rats in the LT group were given retention enema with 2 mL of lactulose at a dose of 22.5% once a day； the rats in the RD1， RD2， and RD3 groups were given retention enema with 2 mL RD at a dose of 2.5， 5.0， and 7.5 g/kg， respectively， once a day. After 10 days of treatment， the Morris water maze test was performed to analyze the spatial learning and memory abilities of rats. The rats were analyzed from the following aspects： behavioral status； the serum levels of alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） and the level of blood ammonia； pathological changes of liver tissue and brain tissue； the mRNA and protein expression levels of phosphatidylinositol 3-kinase （PI3K）， protein kinase B （AKT）， and mammalian target of rapamycin （mTOR） in brain tissue. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the MOD group， the RD1， RD2， and RD3 groups had a significantly shorter escape latency （all P<0.01）， significant reductions in the levels of ALT， AST， IL-1β， IL-6， TNF-α， and blood ammonia （all P<0.05）， significant alleviation of the degeneration， necrosis， and inflammation of hepatocytes and brain cells， and significant reductions in the mRNA and protein expression levels of PI3K， AKT， and mTOR in brain tissue （all P<0.05）， and the RD3 group had a better treatment outcome than the RD1 and RD2 groups. ConclusionRetention enema with RD can improve cognitive function and inflammatory damage of brain tissue in MHE rats， possibly by regulating the PI3K/AKT/mTOR signaling pathway.

Objective:To explore the risk factors for malnutrition after a tracheotomy and to construct a predictive model useful for its prevention through early intervention.Methods:Clinical data describing 440 tracheotomy patients were subjected to a retrospective analysis. The variables examined were age, sex, etiology, Glasgow Coma Score (GCS), activities of daily living (ADL) score, age-corrected Charlson comorbidity index (aCCI), food intake, swallowing function, incidence of infections, as well as any history of diabetes mellitus, hypertension, smoking or alcohol consumption. Patients identified as being at risk of malnutrition (NRS-2002≥3) were screened using the Nutritional Risk Screening tool (NRS-2002) and the European Society of Clinical Nutrition and Metabolism′s ESPEN2015 criteria. The subjects were thus categorized into a malnutrition group of 343 and a control group of 97. Unifactorial and multifactorial logistic regression analyses were performed, and stepwise regression was applied to include the factors found significant in the unifactorial analysis into the multifactorial logistic regression analysis, and to construct a column-line graph prediction model. The clinical utility of the model was assessed by applying the receiver operator characteristics (ROC) curves, calibration plots and decision curve analysis (DCA).Results:Of the 440 persons studied, 343 (78%) were malnourished. The multivariate logistic regression analysis showed that pulmonary infection, dysphagia, low GCS score and high aCCI score were significant risk factors for malnutrition after a tracheotomy. A prediction nomograph was constructed. After fitting and correcting, the area under the curve (AUC) of the prediction model′s ROC curve was 0.911, the specificity was 80.4%, and the sensitivity was 91.3%. That was significantly higher than the AUCs for pulmonary infection (0.809), dysphagia (0.697), aCCI (0.721) and GCS (0.802). Bootstrap self-sampling was used to verify the model internally. After 1000 samples the average absolute error between the predicted risk and the actual risk was 0.013, indicating good prediction ability. The DCA results demonstrated that the model has substantial clinical applicability across a range of nutritional interventions, particularly for threshold probability values ranging from 0 to 0.96.Conclusion:Pulmonary infection, dysphagia, low GCS score, and high aCCI score are risk factors for malnutrition among tracheotomy patients. The nomogram model constructed in this study has good predictive value for the occurrence of malnutrition among such patients.

Objective The aim of this study is to analyze the prevalence of depression and anxiety symptoms and its relationship with the socio-economic position(SEP)among the elderly people in Dai rural areas of Jinggu County,Yunnan province.Methods A multi-stage stratified random sampling method was used to conduct a questionnaire survey among 1409 people aged 60 and over in Dai rural areas of Jinggu County,Yunnan Province.The individual SEP index was constructed using the principal component analysis.Results The prevalence of anxiety symptoms,depression symptoms,and mixed anxiety-depressive disorder symptoms was 4.8%,52.0%,and 4.2% among them,2.6%,49.4%,and 2.3% among the males,and 6.8%,54.5%,and 6.0% among the females respectively.Females had the higher prevalence of anxiety symptoms and mixed anxiety-depressive disorder symptoms than males(P<0.05).Elderly people with the higher level of education,annual per capita household income and SEP had the lower prevalence of anxiety symptoms and mixed anxiety-depressive disorder symptoms than their counterparts(both P<0.05).The prevalence of depression symptoms increased with age(P<0.01).The difference in the prevelence of depression symptoms among the elderly people with the different numbers of chronic conditions was statistically significant(P<0.01).The results of multivariate logistic regression analysis showed that the elderly people with lower SEP were more likely to suffer from the anxiety symptoms(OR=0.707,95% CI:0.566～0.883),depression symptoms(OR=0.492,95% CI:0.438～0.552),and mixed anxiety-depressive disorder symptoms(OR=0.602,95% CI:0.469～0.773).Conclusion There are significant socio-economic differences in the prevalence of anxiety symptoms and depression symptoms among the elderly people in Dai rural areas of Jinggu County,Yunnan province.Future mental health interventions should more focus on females,elderly people with advanced age,multiple chronic diseases and low SEP,so as to reduce the occurrence of depression symptoms and anxiety symptoms.

Background Improper settings of outdoor smoking points in public places may increase the risk of secondhand smoke exposure among the population. Conducting research on air pollution in and around smoking spots and related influencing factors can provide valuable insights for optimizing the setting of outdoor smoking points. Objective To investigate the influence of the number of smokers at outdoor smoking points and the distance on the diffusion characteristics of surrounding air pollutants, in order to optimize the setting of outdoor smoking points. Methods Surrounding the exhibition halls in the China International Import Expo (CIIE), two outdoor smoking points were randomly selected, one on the first floor (ground level) and the other on the second floor (16 m above ground), respectively. At 0, 3, 6, and 9 m from the smoking points in the same direction, validated portable air pollutant monitors were used to measure the real-time fine particulate matter (PM_2.5) and carbon dioxide (CO₂) concentrations for consecutive 5 d during the exhibition, as well as the environmental meteorological factors at 0 m with weather meters including wind speed, wind direction, and air pressure. An open outdoor atmospheric background sampling point was selected on each of the two floors to carry out parallel sampling. Simultaneously, the number of smokers at each smoking point were double recorded per minute. The relationships between the number of smokers, distance from the smoking points, and ambient PM_2.5 and CO₂ concentrations were evaluated by generalized additive regression models for time-series data after adjustment of confounders such as temperature, relative humidity, and wind speed. Results The median numbers of smokers at smoking points on the first and second floors were 6 [interquartile range (IQR): 3, 9] and 9 (IQR: 6, 13), respectively. Windless (wind speed <0.6 m·s⁻¹) occupied most of the time (85.9%) at both locations. The average concentration of ambient PM_2.5 at the smoking points (0 m) [mean ± standard deviation, (106±114) μg·m⁻³] was 4.2 times higher than that of the atmospheric background [(25±7) μg·m⁻³], the PM_2.5 concentration showed a gradient decline with the increase of distance from the smoking points, and the average PM_2.5 concentration at 9 m points [(35±22) μg·m⁻³] was close to the background level (1.4 times higher). The maximum concentration of CO₂ [(628±23) μmol·mol⁻¹] was observed at 0 m, and its average value was 1.3 times higher than that of the atmospheric background [(481±40) μmol·mol⁻¹], and there was no gradient decrease in CO₂ concentration with increasing distance at 0, 3, 6, and 9 m points. The regression analyses showed that, taking smoking point as the reference, every 3 m increase in distance was associated with a decrease of ambient PM_2.5 by 24.6 [95% confidence interval (95%CI): 23.5, 25.8] μg·m⁻³ (23.2%) and CO₂ by 54.1 (95%CI: 53.1, 55.1) μmol·mol⁻¹ (8.6%). Every one extra smoker at the smoking point was associated with an average increase of PM_2.5 and CO₂ by 2.0 (95%CI: 1.7, 2.8) μg·m⁻³ and 1.0 (95%CI: 0.7，1.2) μmol·mol⁻¹, respectively. The sensitivity analysis indicated that, under windless conditions, the concentrations of PM_2.5 and CO₂ at the smoking points were even higher but the decreasing and dispersion characteristics remained consistent. Conclusion Outdoor smoking points could significantly increase the PM_2.5 concentrations in the surrounding air and the risks of secondhand smoke exposure, despite of the noticeable decreasing trend with increasing distance. Considering the inevitable poor dispersion conditions such as windless and light wind, outdoor smoking points are recommended to be set at least 9 m or farther away from non-smoking areas.

Objective To analyze the clinical characteristics of thyroid dysfunction induced by camrelizumab in the treatment of classical Hodgkin lymphoma(cHL)and explore the influencing factors.Methods The medical records of cHL patients treated with camrelizumab from January 1st,2017 to December 31st,2020,were collected.The clinical characteristics of thyroid dysfunction induced by camrelizumab were analyzed,and the influencing factors of adverse drug reactions(ADRs)were discussed.Results A total of 47 patients were included,12 patients(25.53%)experiencing thyroid dysfunction after receiv-ing camrelizumab.Among them,3 patients had hypothyroidism,7 had subclinical hypothyroidism,and 2 had subclinical hyperthy-roidism.The severity of ADRs was between grade 1 and 2(mild to moderate).None of the patients with thyroid dysfunction dis-continued camrelizumab.Thyroid dysfunction occurred between 1 and 22 months after camrelizumab treatment,with a median time of 6 months.2 patients with hypothyroidism treated with levothyroxine,the thyroid function returned to normal in 1 patient and was improved in the other.1 patient with subclinical hypothyroidism was treated with levothyroxine with the thyroid function continued to be abnormal.The rest of the 9 patients with thyroid dysfunction received no intervention,and 4 of them returned to normal,and others remained with no obvious change or loss in follow-up.Thyroid dysfunction was associated with baseline thyroid stimulating hormone level(P=0.03).The level of thyroglobulin antibodies and thyroid peroxidase antibodies was increased in 2 patients a-mong 3 patients with moderate thyroid dysfunction.Conclusion The incidence of thyroid dysfunction induced by camrelizum-ab in cHL was high.Camrelizumab-induced thyroid dysfunction was related to TSH baseline level(P=0.03).The severity was between grade 1 and 2,which was related to the level of TgAb and TPOAb.The subtype of thyroid dysfunction was mainly sub-clinical hypothyroidism with a long period.Patients could continue camrelizumab treatment,and the thyroid function of patients with grade 2 hypothyroidism was improved after the treatment with levothyroxine.

Objective To establish a nomogram model for efficiently predicting overall survival(OS)and cancer-specific survival(CSS)in patients with CRCHBM.Method 2239 patients from 2010 to 2019 were retrospectively analyzed from the Surveillance,Epidemiology,and End Results Program(SEER)databases and Wuhan Union Hospital Cancer Center.SEER is randomly assigned to the training and internal validation cohorts,and the Wuhan database serves as the external validation.Cox regression analyses were used to determine the independent clinicopathological prognosis factors affecting OS and CSS,and a nomogram was constructed to predict OS and CSS.The clinical utility of columnar plots was assessed using calibration curves,area under the curve(AUC),and decision curve analysis(DCA).Result OS column line graphs were constructed based on nine independent predictors:age,tumor location,degree of differentiation,tumor size,TNM stage,chemotherapy,primary focus surgery,number of lymph nodes sampled,and serum carcinoembryonic antigen(CEA)level.The C-index of the nomogram to predict the 1-,3-,and 5-year OS were 0.764,0.790,and 0.805 in the training group,0.754,0.760,and 0.801 in the internal validation group,and 0.822,0.874,and 0.906 in the external validation group.CSS column line graphs were constructed based on 3 independent predictors of TNM staging,radiotherapy and chemotherapy.The 1-,3-,and 5-year CSS AUROC values of the training group were 0.791,0.757,and 0.782,respectively.0.682,0.709,0.625 in the internal validation group and 0.759,0.702,0.755 in the external validation group,respectively.The results of receiver operating characteristic curve(ROC),ROC and DCA showed that the use of our model was more effective in predicting OS and CSS than other single clinicopathological features.Conclusion In summary,the nomogram based on significant clinicopathological features can be conveniently used to predict OS and CSS individually in patients with CRCHBM.