The traditional theory of "the spleen governs the dispersion of essence" refers to the spleen's pivotal role in distributing refined nutrients throughout the body. In traditional Chinese medicine （TCM）， lipids are categorized under "gaozhi （膏脂）"， and their transportation and metabolism via apolipoproteins are believed to be closely related to the spleen's dispersing function. The liver， which synthesizes apolipoproteins， is functionally linked to the spleen system in TCM. Impaired dispersion of essence by the spleen and disrupted transportation of gaozhi constitute the pathological mechanism of dyslipidemia due to spleen deficiency. Strengthening the spleen and resolving dampness is the core therapeutic principle. From the perspective of modern medicine， this may involve promoting hepatic functional recovery related to lipid metabolism， thereby enhancing lipid processing and reducing the levels of abnormally accumulated lipids in the bloodstream.

Objective: To summarize the laboratory findings of a case of hemolytic disease of the fetus and newborn (HDFN) caused by Rh system anti-c antibodies and to review the literature, so as to explore the characteristics of anti-c HDFN. Methods: The ABO blood type, Rh blood type, direct antiglobulin test (DAT) results, and the presence of unexpected antibodies and their titers were determined by serological methods. The cases of anti-c HDFN in our laboratory in China and abroad were statistically analyzed, and the incidence of severe HDFN caused by anti-c, anti-D and anti-E was compared. Results: The blood type of the child was B (Rh CcDee) with a positive DAT. Anti-c antibody was detected in both serum and eluate, with a serum antibody titer of 4. The mother’s blood type was AB (Rh CCDee) with a negative DAT, and anti-c antibody was detected in the serum with a titer of 128. Among 20 cases of anti-c HDFN, 17 were DAT positive, and 9 (45%, 9/20) underwent blood transfusion or exchange transfusion. The incidence of severe HDFN was 47.60% (10/21) for anti-c, 47.60% (10/21) for anti-D and 31.30% (5/16) for anti-E. Conclusion: Maternal pregnancy and/or blood transfusion are the main reasons for the production of Rh alloantibodies such as anti-c. The prevention and management of anti-c should be similar to that of anti-D. Rh antigen-matched (five antigens of Rh blood group) transfusion is necessary for women of childbearing age to avoid antibody production, and Rh typing and antibody screening during prenatal examination is recommended to ensure early detection, intervention and treatment.

Background There is currently limited research on the antibiotic resistance of Legionella pneumophila in China. Establishing analytical methods for antibiotic resistance phenotypes and resistance genes of Legionella pneumophila in artificial water environment is of great significance. Objective To investigate the antibiotic resistance characteristics of Legionella pneumophila isolated from artificial water environment in Zhongshan, and to provide a scientific basis for the prevention and control of Legionella infection. Methods A total of 295 strains of Legionella pneumophila isolated from central air conditioning systems and hot water systems in Zhongshan from 2012 to 2024 were collected. The minimum inhibitory concentrations (MIC) of antimicrobial agents against the strains were determined using the E-test method. Whole genome sequencing combined with bioinformatics techniques was used to analyze the antibiotic resistance genes of 16 strains of Legionella pneumophila. The phylogenetic evolutionary relationships between these strains and clonal strains from different sources worldwide were analyzed based on whole genome single nucleotide polymorphisms (wgSNPs). Results The antimicrobial susceptibility testing results showed that the highest resistance rate of Legionella pneumophila was to erythromycin (ERY) (56.9%), followed by azithromycin (AZM) (27.1%) and levofloxacin (LEV) (12.2%). The antibiotic resistance rates to rifampicin (RIF) and cefotaxime (CTX) were low, and the strains were fully susceptible to clarithromycin (CLA), ciprofloxacin (CIP), and doxycycline (DOX). Compared to the isolates from the hot water systems, those from the central air conditioning systems exhibited higher resistance rates to ERY (70.9% vs. 28.1%) and AZM (34.2% vs. 12.5%), and the differences were statistically significant (χ²=48.226, P<0.001; χ²=15.388, P<0.001). The MIC values of Lp1 isolates for four antibiotics (AZM, CLA, DOX, and CTX) were significantly higher than those of Lp2-14 isolates (Z=−3.490, P <0.001; Z=−3.035, P <0.05; Z=−2.662, P<0.05; Z=−2.973, P <0.05). The MIC values of Lp2−14 isolates for RIF were significantly higher than those of Lp1 isolates (Z=−3.190, P<0.05). The strains isolated from 2019–2024 exhibited higher MIC values for both CLA and DOX than those isolated from 2012–2018 (Z=−4.847, P <0.001; Z=−6.057, P <0.001). Whole genome sequencing analysis showed that the 16 strains of Legionella pneumophila carried antibiotic resistance genes for aminoglycosides, macrolides, cephalosporins, and penicillins. The phylogenetic analysis showed that Legionella pneumophila in this region exhibited high genetic diversity and was consistent with the epidemic trends of strains from other regions worldwide. Conclusion The isolates of Legionella pneumophila in this study are highly susceptible to most antimicrobial agents. However, the antibiotic resistance should not be ignored, and continuous monitoring of antibiotic resistance is necessary.

Objective To investigate the clinical value of uric acid(UA)to albumin(Alb)ratio(UAR)in predicting the prognosis of the patients with heart failure.Methods A total of 1 893 patients with heart failure and complete clinical data in the Chinese Heart Failure Database were selected as the clinical research subjects for conducting the retrospective cohort analysis.The general clinical data,coagulation routine,tropo-nin Ⅰ(cTnⅠ),cardiac enzyme profile,liver function,B-type brain natriuretic peptide(BNP),uric acid(UA)and left ventricular ejection fraction in echocardiography in the study subjects were collected to calculate UAR.Ac-cording to the receiver operating characteristic(ROC)curve,the optimal cut-off value of UAR was selected as 17.48.Then the subjects were divided into the low UAR group(UAR＜17.48,n=1 525)and high UAR group(UAR≥17.48,n=368).The clinical data were compared between the two groups,and the effect of UAR on the all-cause mortality in the patients with heart failure was evaluated by the binary logistic regres-sion analysis.Results The follow up time in the patients was 90 d,and 37 cases(2.0％)of all-cause death oc-curred during the follow up period.The proportion of males,proportion of cardiac function grade Ⅳ,propor-tion of myocardial infarction,levels of uric acid,D-dimer,creatine kinase(CK),creatine kinase isoenzyme(CK-MB),lactate dehydrogenase(LDH),alanine aminotransferase(ALT),glutamyl transpeptidase(GGT),alkaline phosphatase(AKP)and BNP in the high UAR group were higher than those in the low UAR group,while the pulse,systolic pressure,diastolic pressure,proportions of heart function grade Ⅱ and grade Ⅲ and ALB level were lower than those in the UAR group,and the differences were statistically significant(P＜0.05).The ROC curve analysis results showed that the area under the curve of UAR for assessing the all-cause death occurrence in heart failure was 0.715(95％CI:0.626-0.804,P＜0.001),the sensitivity was 56.8％and the specificity was 81.4％;the binary logistic regression analysis results showed that the incidence rate of all-cause mortality in the high UAR group was 1.09 times higher than that in the low UAR group(OR=1.09,95％CI:1.02-1.20,P=0.017).Conclusion UAR could serve as an independent predictive fac-tor of all-cause death occurrence in heart failure,which needs clinic to pay attention.

Objective·To analyze the differences and classify hypertrophic cardiomyopathy(HCM)patients and healthy controls(HC)using short-axis cine cardiac magnetic resonance(CMR)images-derived radiomics features.Methods·One hundred HCM subjects were included,and fifty HC were randomly selected at 2∶1 ratio during January 2018 to December 2021 in the Department of Cardiology,Renji Hospital,Shanghai Jiao Tong University School of Medicine.The CMR examinations were performed by experienced radiologists on these subjects.CVI 42 post-processing software was used to obtain left ventricular morphology and function measurements,including left ventricular ejection fraction(LVEF),left ventricular end-diastolic volume(LVEDV)and left ventricular end-diastolic mass(LVEDM).The 3D radiomic features of the end-diastolic myocardial region were extracted from short-axis images CMR cine.The distribution of the radiomic features in the two groups was analysed and machine learning models were constructed to classify the two groups.Results·One hundred and seven 3D radiomic features were selected and extracted.After exclusion of highly correlated features,least absolute shrinkage and selection operator(LASSO)was used,and a 5-fold cross-validation was performed.There were still 11 characteristics with non-zero coefficients.The K-best method was used to decide the top 8 features for subsequent analysis.Among them,four features were significantly different between the two groups(all P<0.05).Support vector machine(SVM)and random forest(RF)models were constructed to discriminate the two groups.The results showed that the maximum area under the curve(AUC)for the single-feature model(first order grayscale:entropy)was 0.833(95%CI 0.685?0.968)and the maximum accuracy for the multi-feature model was 83.3%with an AUC of 0.882(95%CI 0.705?0.980).Conclusion·There are significant differences in both left ventricular function and left ventricular morphology between HCM and HC.The 3D myocardial radiomic features of the two groups are also significantly different.Although single feature is able to distinguish the two groups,the combination of multi-features show better classification performance.

Objective:To explore the core issues in the implementation of"packaged payment"in China's compact county medi-cal community,in order to provide useful references for the innovative reform of medical insurance payment methods in compact coun-ty medical community.Methods:By constructing the problem system through the macro model of the health system,analyzing the re-lated literature using multidimensional scale analysis and social network analysis,and comprehensively evaluating the results using the entropy-weighted TOPSIS method,it summarizes the core issues of"packaged payment"in compact county medical community.Results:There are core issues in China's compact county medical community,such as inadequate distribution of benefits and incen-tive and constraint mechanisms within the medical community(Ci= 1.000),lack of effective supervision and assessment mechanism for medical communities(Ci= 0.732),suppressed quality and efficiency of medical services(Ci= 0.652),lagging medical informatiza-tion construction(Ci= 0.595),and incomplete supporting policy measures(Ci= 0.579).Conclusion:The"packaged payment"of com-pact county medical community can be optimized from the following three aspects:a multi-level collaborative incentive mechanism should be improved to ensure the service quality and efficiency;optimize the total amount calculation method and improve the de-tailed supporting measures;accelerate information construction and strengthen supervision and assessment management.

Objective To investigate the epidemiological characteristics and spatial distribution characteristics of Clonorchis sinensis human infections in Guangdong Province from 2016 to 2022, so as to provide insights into formulation of the clonorchiasis control measures in the province. Methods Xinhui District of Jiangmen City, Longmen County of Huizhou City and Wengyuan County of Shaoguan City in Guangdong Province were selected as fixed surveillance sites for human clonorchiasis from 2016 to 2022, and additional 10% to 15% counties (districts) endemic for clonorchiasis were sampled from Guangdong Province as mobile surveillance sites each year from 2016 to 2022. A village (community) was randomly selected from each surveillance site according to the geographical orientations of east, west, south, north and middle, and subjects were randomly sampled from each village (community). C. sinensis eggs were detected in subjects’ stool samples using the Kato-Katz technique, and the prevalence and intensity of C. sinensis infections were calculated. In addition, subjects’ gender, age, ethnicity, educational level and occupation were collected. The Guangdong Provincial 1:1 million electronic map in vector format was downloaded from the National Geomatics Center of China, and kernel density analysis and spatial autocorrelation analysis of C. sinensis human infections in Guangdong Province from 2016 to 2022 were performed using the software ArcGIS 10.7. Results A total of 153 188 residents were tested for C. sinensis infections in Guangdong Province from 2016 to 2022, including 75 596 men (49.35%) and 77 592 women (50.65%), and there were 5 369 residents infected with C. sinensis, with 3.50% overall prevalence of infections. The prevalence rates of severe, moderate and mild C. sinensis infections were 0.76%, 7.26% and 91.97% among C. sinensis-infected residents in Guangdong Province from 2016 to 2022, and there were age-, gender-, ethnicity-, occupation- and educational level-specific prevalence of C. sinensis human infections (χ² = 2 578.31, 637.33, 52.22, 2 893.28 and 1 139.33, all P values < 0.05). Global spatial autocorrelation analysis showed a cluster in the prevalence of C. sinensis human infections in Guangdong Province (Moran’s I = 0.63, Z = 27.31, P < 0.05). Kernel density analysis showed that the prevalence of C. sinensis human infections with a high kernel density in Guangdong Province was mainly distributed along the Zhujiang River basin in Pearl River Delta areas, followed by in eastern and northern Guangdong Province. In addition, local spatial autocorrelation analysis identified 73 high-high clusters of the prevalence of C. sinensis human infections in Guangdong Province. Conclusions The prevalence of C. sinensis human infections was high in Guangdong Province from 2016 to 2022, and mild infection was predominant among all clonorchiasis cases, with spatial clusters identified in the prevalence of C. sinensis human infections. Targeted clonorchiasis control measures are required among high-risk populations and areas.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.