Gut microbiome is an important part of maintaining human homeostasis.In recent years, with the rapid development of sequencing technologies such as 16S rRNA and metagenome, people have a deeper and more comprehensive understanding about microorganisms.Studies in animals and humans have confirmed that the gut microbiome is not only involved in the pathological process of systemic diseases such as immune, metabolic and neurological disorders, but is also closely related to eye diseases.Factors such as host high blood glucose, immune disorders, aging, high intraocular pressure can cause gut microbiota dysbiosis and increase gut-blood barrier permeability.Lipopolysaccharide, peptidoglycan and other pathogen-associated molecular patterns enter the systemic circulation through the damaged gut barrier and eventually reach the retina and uveitis where they participate the immune and inflammatory response process.In addition, gut-derived host immune cells or injury-related molecular patterns may exacerbate the ocular inflammatory cascade.At the same time, metabolites of microbiota, including those induced by diet and environment factors, such as bilirubin, bile acids and short-chain fatty acids, are involved in the progression of retinal diseases via regulating immune T cell balance, miRNA expression and retinal cell inflammatory activation.This article aims to review the domestic and foreign studies on gut microbiome in diabetic retinopathy, uveitis, age-related macular degeneration and glaucoma in recent years, and discuss the possible mechanisms of gut microbiome in eye diseases via the gut-retina axis in order to provide some new ideas for further study and treatment of eye diseases.

A patient with a history of sulfonamide allergy and dermatomyositis was admitted to the hospital due to secondary infection.After admission,a comprehensive examination confirmed the presence of Pneumocystis jirovecii pneumonia(PJP)along with cytomegalovirus(CMV)and Klebsiella pneumoniae infections.Clinical pharmacists actively participated in the treatment process by referring to relevant clinical guidelines.For patients with Pneumocystis jirovecii infection,compound sulfamethoxazole(TMP-SMX)should be considered as the primary choice,while desensitization treatment is recommended for those with a history of sulfonamide allergy.Prior to treatment,the patient had pre-existing liver insufficiency and was on long-term glucocorticoid therapy,with complex medications.The clinical pharmacists provided individualized pharmaceutical care for this case,assisting clinicians in formulating scientifically and reasonably tailored drug treatment plans.They also offered new insights and references for selecting appropriate drugs considering the patient's previous sulfonamide allergies.After sulfonamide desensitization,the patients were administered a combination of TMP-SMX and carpofungin for anti-PJP treatment,along with ganciclovir for anti-CMV treatment,resulting in favorable therapeutic outcomes.

Objective To explore how to achieve isolation of clinical trial fees and general medical expenses of hospitalized subjects through information technology.Methods This article analyzed various methods for separating clinical trials fees from medical insurance and suggested that all methods need to protect subjects'medical insurance reimbursement rights and ensure that they do not occupy medical insurance funds.Based on this principle,A clinical trial cost segregation information module was developed based on inpatient's workstation.Results Through this information module,subjects could choose their medical status according to the actual medical situation.Doctors could issue medical orders in hospital information system(HIS)according to normal medical or trail needs,change the nature of the orders by adding or deleting clinical trial tags.The system automatically intercepts the clinical trial orders for reimbursement of medical insurance,while other expenses are reimbursed according to rules of medical insurance.Conclusion The application of this information module has improved the subjects'enthusiasm and compliance to participate in clinical trials,reduced their economic burden,and ensured their rights to enjoy reimbursement of medical insurance,which can be used as a reference example for newly registered clinical trial institution.

Objective:To explore the prognostic value of BRCA1-associated protein 1 (BAP1) expression loss in patients with malignant mesothelioma (MM) .Methods:A total of 82 MM patients from January 1998 to December 2017 in Zhejiang Province were selected to detect the expression of BAP1 protein by immunohistochemical analysis. Kaplan-Meier method was used to draw the survival curve, and multivariate Cox proportional risk model was used to analyze the factors affecting the survival rate.Results:Among 82 MM patients, 61 (74.4%) were female, aged (57±11) years. BAP1 protein expression was deficient in 39 patients (47.6%). The survival rate was correlated with the loss of BAP1 protein expression and age (χ 2=5.27, 5.66, P=0.022, 0.017). Subgroup analysis showed that loss of BAP1 protein expression was associated with better prognosis in MM patients <57 years of age, female, pleural MM, epithelial MM, and treated with drugs or surgery ( P<0.05). Multivariate model results showed that positive expression of BAP1 protein ( HR=3.75, 95% CI: 2.23-6.30, P<0.001) and age ≥57 years ( HR=1.66, 95% CI: 1.01-2.72, P=0.049) were risk factors for survival in patients with MM. Conclusion:Loss of BAP1 protein expression may be an independent prognostic factor in patients with MM, which is associated with longer survival.

Objective:To explore the prognostic value of BRCA1-associated protein 1 (BAP1) expression loss in patients with malignant mesothelioma (MM) .Methods:A total of 82 MM patients from January 1998 to December 2017 in Zhejiang Province were selected to detect the expression of BAP1 protein by immunohistochemical analysis. Kaplan-Meier method was used to draw the survival curve, and multivariate Cox proportional risk model was used to analyze the factors affecting the survival rate.Results:Among 82 MM patients, 61 (74.4%) were female, aged (57±11) years. BAP1 protein expression was deficient in 39 patients (47.6%). The survival rate was correlated with the loss of BAP1 protein expression and age (χ 2=5.27, 5.66, P=0.022, 0.017). Subgroup analysis showed that loss of BAP1 protein expression was associated with better prognosis in MM patients <57 years of age, female, pleural MM, epithelial MM, and treated with drugs or surgery ( P<0.05). Multivariate model results showed that positive expression of BAP1 protein ( HR=3.75, 95% CI: 2.23-6.30, P<0.001) and age ≥57 years ( HR=1.66, 95% CI: 1.01-2.72, P=0.049) were risk factors for survival in patients with MM. Conclusion:Loss of BAP1 protein expression may be an independent prognostic factor in patients with MM, which is associated with longer survival.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.

Objective To investigate the relationship between serum indexes and the degree of liver fibrosis in chronic hepatitis B(CHB)patients with HBeAg-negative and normal ALT,and to establish a new non-invasive model for predicting liver fibrosis in CHB patients.Methods The clinical data of 679 HBeAg-negative chronic HBV infected patients with normal ALT who underwent liver biopsy from October 2012 to December 2021 were retrospectively analyzed.Among these patients,they were categorized into the control group(S1,observation group)the and significant fibrosis group(S2/S3/S4,control group)based on liver biopsy results.The LASSO regression model was used for covariates selection and the restricted cubic splines model was used to examine nonlinear associations between covariates and outcomes.We used Logistic regression models to establish predictive models.Results Liver biopsy showed that 48.7%of the patients had obvious fibrosis(S≥2).GGT shows a nonlinear relationship with the degree of liver fibrosis.AST and PT show a positive relationship with the liver fibrosis degree,respectively.The area under the ROC curve(AUC)of GGT + PT + AST is 0.68(95%CI:0.64～0.72),and this model performed better than models established using GPR,APRI,and FIB-4.Conclusion The prediction model of GGT + PT+AST has high predictive value on the severity of liver fibrosis among CHB patients whose HBeAg is negative.

Malignant tumor has become the largest disease threatening human health.The global incidence of cancer is in-creasing year by year.At present,the poor quality of life and drug resistance of patients with advanced and recurrent cancer are be-coming increasingly obvious.Reducing the invasion and metastasis of tumor,improving the survival and prognosis of tumor patients,are urgent problems to be solved in tumor treatment.Agrin is a membrane protein associated with synaptic formation,and recent studies have shown that Agrin plays an important role in the occurrence and development of tumors.Agrin is expressed in malignant tumors and immune cells,playing an important regulatory role in tumor angiogenesis,cell proliferation and migration,chemotherapy resist-ance,and neutrophil infiltration.This article summarizes and analyzes the current research status of Agrin,especially its related role and mechanism in the occurrence and development of malignant tumors.

Objective:To investigate the types, incidences, and clinical characteristics of shock in polytrauma patients at different stages after polytrauma.Methods:A retrospective study was conducted on polytrauma patients admitted to multiple trauma centers from June 2020 to December 2021. The inclusion criteria were patients >18 years old and treated due to polytrauma. Exclusion criteria included an admission time of more than 48 h after trauma, a history of malignancy, or metabolic, consumptive, and immunological diseases. The early stage was defined as the period of ≤48 h after polytrauma, and the middle stage was defined as the period between 48 h and 14 days. The patient’s medical history, clinical manifestations, laboratory tests, imaging examination, injury severity score (ISS), and Glasgow coma scale (GCS) were collected. The types, incidences, and clinical characteristics of shock in different stages after polytrauma were analyzed, according to the diagnostic criteria of each type of shock. The differences between the groups were compared by Student’s t test, χ2 test or Mann-Whitney U test. Results:The incidence of the early and middle stage shock after polytrauma were 73.1% and 36.4%, respectively, with statistically significant difference between stages ( P<0.01). There were significant differences in the incidence of hypovolemic shock (83.6% vs. 28.4%), distributed shock (13.7% vs. 80.9%) and cardiogenic shock (3.5% vs. 6.6%) between stages (all P<0.05). The incidence of obstructive shock (8.4% vs. 9.7%, P>0.05) was similar between stages. The incidence of undifferentiated shock was 1.6% and 1.2%, respectively. There were 9.5% patients with multifactorial shock in the early stage and 14.4% in the middle stage. Totally 7 combinations of multifactorial shock were found in different stages after polytrauma. In the early stage, the combination of HS and DS accounted the highest ratio (42.3%) and followed by HS and OS for 28.8%. In the middle stage, the combination of HS and DS was the most common (48.6%) and followed by DS and OS (24.3%). Conclusions:The incidence of shock in polytrauma patients is high. Different types of shock can occur simultaneously or sequentially. Therefore a comprehensive resuscitation strategy is significant to improve the success rate of treatment.