Objective:To explore the correlation between the intensity of net ultrafiltration in continuous renal replacement therapy (CRRT) and the survival prognosis in critically ill patients with acute kidney injury (AKI), and provide evidence-based references for establishing optimal net ultrafiltration target during CRRT.Methods:This was a retrospective observational study. Demographic and clinical data of critically ill AKI patients who received CRRT in the Intensive Care Unit of West China Hospital, Sichuan University from May 2021 to September 2023 were collected. Net ultrafiltration was defined as the hourly fluid clearance volume in the 72 hours prior of CRRT. This variable was converted into a categorical variable, including low net ultrafiltration <1.01 ml·kg -1·h -1, moderate net ultrafiltration 1.01-1.38 ml·kg -1·h -1 and high net ultrafiltration >1.38 ml·kg -1·h -1, and the differences of baseline characteristics and clinical treatment conditions among the three groups were compared. Kaplan-Meier survival curve and log-rank test were used to compare the survival conditions among the three groups in patients at 28 days and 60 days after CRRT. Logistic regression analysis method was used to analyze the related factors of mortality in patients 28 days and 60 days after CRRT. Results:This study included a total of 661 critically ill AKI patients who underwent CRRT for more than 72 hours. The age was 56.00 (43.00, 68.00) years, and 488 patients (73.83%) were males. The net ultrafiltration rate was 1.36 (0.94, 1.89) ml·kg -1·h -1. Among them, 188 patients (28.44%) were in the low net ultrafiltration group, 152 patients (23.00%) were in the medium net ultrafiltration group, and 321 patients (48.56%) were in the high net ultrafiltration group. There were statistically significant differences among the three groups in terms of gender distribution ( χ2=17.81, P<0.001), body mass index ( H=32.37, P<0.001), urine volume 24 hours before admission ( H=9.41, P=0.009), fluid overload ( H=6.02, P=0.049), platelets ( H=13.49, P=0.001), pro-B type natriuretic peptide ( H=14.18, P<0.001), serum creatinine ( H=9.66, P=0.008), lactate ( H=9.83, P=0.007), AKI stage distribution ( χ2=15.51, P=0.004), admission indication ( P<0.001), total CRRT duration ( H=8.45, P=0.015), ultrafiltration ( H=456.10, P<0.001), net ultrafiltration ( H=561.20, P<0.001), and vasoactive-inotropic score at 72 hours of CRRT treatment ( H=10.42, P=0.005). Kaplan-Meier survival analysis showed that there were statistically significant differences in the 28-day (Log-rank test, χ2=10.89, P=0.004) and 60-day (Log-rank test, χ2=8.55, P=0.014) survival rates among the three groups in patients after CRRT. Multivariate logistic regression analysis showed age ( OR=1.03, 95% CI 1.02-1.04, P<0.001), mean arterial pressure ( OR=0.98, 95% CI 0.97-1.00, P=0.011), bilirubin ( OR=3.02,95% CI 1.39-5.59, P=0.006), 72-hour vasoactive-inotropic score ( OR=1.01, 95% CI 1.00-1.02, P=0.004), low net ultrafiltration group (medium net ultrafiltration group as a reference, OR=1.66, 95% CI 1.02-2.72, P=0.042), and high net ultrafiltration group (medium net ultrafiltration group as a reference, OR=1.78, 95% CI 1.14-2.78, P=0.011) were independent correlated factors of 28-day mortality after CRRT. Age ( OR=1.02，95% CI 1.01-1.04， P<0.001), mean arterial pressure ( OR=0.98，95% CI 0.97-1.00， P=0.016), fluid overload ( OR=1.10, 95% CI 1.02-1.19, P=0.012), bilirubin ( OR=4.96，95% CI 1.00-17.80， P=0.013), 72-hour vasoactive-inotropic score ( OR=1.02，95% CI 1.01-1.03， P=0.003), and high net ultrafiltration group (medium net ultrafiltration group as a reference, OR=1.91，95% CI 1.22-3.00， P=0.005) were independent correlated factors of 60-day mortality after CRRT. Conclusions:During the first 72 hours of CRRT, net ultrafiltration > 1.38 ml·kg -1·h -1 and net ultrafiltration < 1.01 ml·kg -1·h -1 are associated with a higher mortality rate at 28 days or 60 days after CRRT. Net ultrafiltration of 1.01-1.38 ml·kg -1·h -1 may be a relatively safe range.

Objective To explore the therapeutic effect and influencing factors of individualized exercise under continuous glucose profile in patients with typ 2 diabetes mellitus(T2DM).Methods A total of 110 patients with T2DM who were treated in the Department of Endocrinology of our hospital from December 2021 to July 2022 were randomly divided into conventional group and personalized group,with 55 cases in each group.The conventional group was given routine health exercise guidance,the personalized group was given a personalized exercise program.Repeated measurement analysis of variance was used to evaluate the improvement of blood glucose related indicators in the two groups at 3 and 6 months after intervention.Logistic regression was used to analyze the influencing factors of blood glucose(BG)control after 6 months of intervention.Results After 3 and 6 months of intervention,FBG,2 hBG,hemoglobin A1c(HbA1c),mean blood glucose(MBG)and time above target range(TAR)in the personalized group and conventional group were all lower than those before intervention(P<0.05).Time in range(TIR)of glucose within 24 h was higher than that before intervention(P<0.05).After 3 and 6 months of intervention,FBG,2 hBG,HbA1c,MBG and TAR in the personalized group were lower than those in the conventional group at the same time point(P<0.05),and TIR was higher than that in the conventional group at the same time point(P<0.05).After 6 months of intervention,the BG control rate in the personalized group was higher than that in the conventional group(P<0.05).Logistic regression analysis showed that the DM duration,exercise intervention methods and TIR were the influencing factors of BG control.Conclusions Exercise guidance is an effective intervention method to control diabetes.Compared with conventional exercise guidance,personalized exercise program has a better effect on controlling patients'BG level,and has a better effect on patients with short course of disease.

Objective To explore the therapeutic effect and influencing factors of individualized exercise under continuous glucose profile in patients with typ 2 diabetes mellitus(T2DM).Methods A total of 110 patients with T2DM who were treated in the Department of Endocrinology of our hospital from December 2021 to July 2022 were randomly divided into conventional group and personalized group,with 55 cases in each group.The conventional group was given routine health exercise guidance,the personalized group was given a personalized exercise program.Repeated measurement analysis of variance was used to evaluate the improvement of blood glucose related indicators in the two groups at 3 and 6 months after intervention.Logistic regression was used to analyze the influencing factors of blood glucose(BG)control after 6 months of intervention.Results After 3 and 6 months of intervention,FBG,2 hBG,hemoglobin A1c(HbA1c),mean blood glucose(MBG)and time above target range(TAR)in the personalized group and conventional group were all lower than those before intervention(P<0.05).Time in range(TIR)of glucose within 24 h was higher than that before intervention(P<0.05).After 3 and 6 months of intervention,FBG,2 hBG,HbA1c,MBG and TAR in the personalized group were lower than those in the conventional group at the same time point(P<0.05),and TIR was higher than that in the conventional group at the same time point(P<0.05).After 6 months of intervention,the BG control rate in the personalized group was higher than that in the conventional group(P<0.05).Logistic regression analysis showed that the DM duration,exercise intervention methods and TIR were the influencing factors of BG control.Conclusions Exercise guidance is an effective intervention method to control diabetes.Compared with conventional exercise guidance,personalized exercise program has a better effect on controlling patients'BG level,and has a better effect on patients with short course of disease.

Objective:To explore the correlation between the intensity of net ultrafiltration in continuous renal replacement therapy (CRRT) and the survival prognosis in critically ill patients with acute kidney injury (AKI), and provide evidence-based references for establishing optimal net ultrafiltration target during CRRT.Methods:This was a retrospective observational study. Demographic and clinical data of critically ill AKI patients who received CRRT in the Intensive Care Unit of West China Hospital, Sichuan University from May 2021 to September 2023 were collected. Net ultrafiltration was defined as the hourly fluid clearance volume in the 72 hours prior of CRRT. This variable was converted into a categorical variable, including low net ultrafiltration <1.01 ml·kg -1·h -1, moderate net ultrafiltration 1.01-1.38 ml·kg -1·h -1 and high net ultrafiltration >1.38 ml·kg -1·h -1, and the differences of baseline characteristics and clinical treatment conditions among the three groups were compared. Kaplan-Meier survival curve and log-rank test were used to compare the survival conditions among the three groups in patients at 28 days and 60 days after CRRT. Logistic regression analysis method was used to analyze the related factors of mortality in patients 28 days and 60 days after CRRT. Results:This study included a total of 661 critically ill AKI patients who underwent CRRT for more than 72 hours. The age was 56.00 (43.00, 68.00) years, and 488 patients (73.83%) were males. The net ultrafiltration rate was 1.36 (0.94, 1.89) ml·kg -1·h -1. Among them, 188 patients (28.44%) were in the low net ultrafiltration group, 152 patients (23.00%) were in the medium net ultrafiltration group, and 321 patients (48.56%) were in the high net ultrafiltration group. There were statistically significant differences among the three groups in terms of gender distribution ( χ2=17.81, P<0.001), body mass index ( H=32.37, P<0.001), urine volume 24 hours before admission ( H=9.41, P=0.009), fluid overload ( H=6.02, P=0.049), platelets ( H=13.49, P=0.001), pro-B type natriuretic peptide ( H=14.18, P<0.001), serum creatinine ( H=9.66, P=0.008), lactate ( H=9.83, P=0.007), AKI stage distribution ( χ2=15.51, P=0.004), admission indication ( P<0.001), total CRRT duration ( H=8.45, P=0.015), ultrafiltration ( H=456.10, P<0.001), net ultrafiltration ( H=561.20, P<0.001), and vasoactive-inotropic score at 72 hours of CRRT treatment ( H=10.42, P=0.005). Kaplan-Meier survival analysis showed that there were statistically significant differences in the 28-day (Log-rank test, χ2=10.89, P=0.004) and 60-day (Log-rank test, χ2=8.55, P=0.014) survival rates among the three groups in patients after CRRT. Multivariate logistic regression analysis showed age ( OR=1.03, 95% CI 1.02-1.04, P<0.001), mean arterial pressure ( OR=0.98, 95% CI 0.97-1.00, P=0.011), bilirubin ( OR=3.02,95% CI 1.39-5.59, P=0.006), 72-hour vasoactive-inotropic score ( OR=1.01, 95% CI 1.00-1.02, P=0.004), low net ultrafiltration group (medium net ultrafiltration group as a reference, OR=1.66, 95% CI 1.02-2.72, P=0.042), and high net ultrafiltration group (medium net ultrafiltration group as a reference, OR=1.78, 95% CI 1.14-2.78, P=0.011) were independent correlated factors of 28-day mortality after CRRT. Age ( OR=1.02，95% CI 1.01-1.04， P<0.001), mean arterial pressure ( OR=0.98，95% CI 0.97-1.00， P=0.016), fluid overload ( OR=1.10, 95% CI 1.02-1.19, P=0.012), bilirubin ( OR=4.96，95% CI 1.00-17.80， P=0.013), 72-hour vasoactive-inotropic score ( OR=1.02，95% CI 1.01-1.03， P=0.003), and high net ultrafiltration group (medium net ultrafiltration group as a reference, OR=1.91，95% CI 1.22-3.00， P=0.005) were independent correlated factors of 60-day mortality after CRRT. Conclusions:During the first 72 hours of CRRT, net ultrafiltration > 1.38 ml·kg -1·h -1 and net ultrafiltration < 1.01 ml·kg -1·h -1 are associated with a higher mortality rate at 28 days or 60 days after CRRT. Net ultrafiltration of 1.01-1.38 ml·kg -1·h -1 may be a relatively safe range.

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.

ObjectiveTo analyze the clinical and epidemiological characteristics of confirmed cases of human monkeypox infection in Changning District， Shanghai， and to explore their clinical and epidemiological characteristics. MethodsClinical data from 10 reported cases of monkeypox in individuals residing in Changning District or identified by local medical institutions between July 20 and September 30， 2023， were collected. Epidemiological case investigations were conducted， and throat swabs， anal swabs， and rash swabs were collected by the treating medical institutions. Real-time fluorescence quantitative PCR was used for monkeypox virus nucleic acid testing， and descriptive epidemiological analysis was applied to analyze the epidemiological characteristics of the cases. ResultsAll 10 confirmed cases of human monkeypox infection were all young males with an average age of 35.4 years， all of whom belonged to the men who have sex with men （MSM） population， with no occupational clustering. The primary clinical symptoms included fever， rash， enlarged inguinal lymph nodes， and muscle soreness. Nine cases presented with a rash， and seven cases experienced fever symptoms. Among the 10 cases， one experienced fever， rash， enlarged lymph nodes， and muscle soreness； two had fever， rash， and enlarged lymph nodes； two had fever， rash， and systemic soreness； two had only a rash； one had fever or rash； and one was asymptomatic. Among the nine cases with a rash， the rash was mainly localized to the genital or anal area， with fewer cases presenting rashes on the limbs or trunk simultaneously. All cases reported a history of non-exclusive MSM behavior within 21 days before the onset of the disease. The interval between the last suspected high-risk exposure and the onset of symptoms was 4 to 10 days， with an average interval of 6.9 days. The time from the onset of fever to the appearance of a rash was 0 to 5 days， with an average of 1.87 days. ConclusionThe main clinical manifestations of human infection with monkeypox are fever， rash， and enlarged inguinal lymph nodes. The MSM population is a high-risk group for monkeypox infection， and its source of infection may be associated with MSM exposure. Early-stage symptoms are mild， leading to potential underdiagnosis. Additionally， patients may conceal information during the investigation process， which increases the difficulty of epidemic prevention and control.

Background Multiple studies have shown a close relationship between changes in gut microbiota composition and obesity, and research results are influenced by factors such as race and geographical location, but there are few studies on children. Objective To analyze the diversity of gut microbiota related to obesity in a population of 2-6 years old, observe the distribution characteristics and species differences of gut microbiota between obese/overweight and normal weight groups, and explore the association betweenobese/overweight and gut microbiota diversity. Methods Fecal samples were collected from 74 children aged 2-6 years in Shanghai, including 18 obese/overweight individuals, 6 males and 12 females (male to female ratio of 1∶2), and 56 normal weight individuals, 18 males and 38 females (male to female ratio is nearly 1∶2). The 16S rDNA was extracted from bacteria in fecal samples, followed by PCR amplification, cDNA construction, and high-throughput sequencing. Naive Bayes algorithm was used to perform taxonomic analysis (phylum, class, order, family, genus, species) and community diversity analysis (Sobs index, Shannon index, Shannoneven index, Coverage index, PD index, and principal co-ordinates analysis) on representative sequences and abundance of amplicon sequence variants (ASV). Wilcoxon rank sum test, P-value multiple test correction, and analysis of similarities were used to test differences between the two groups to obtain information on the distribution characteristics and species differences of intestinal microbiota in children. Results Seventy-four fecal samples were sequenced, and the sequencing results were subjected to quality control and filtering. A total of 4905306 optimized sequences were obtained, resulting in 1860 ASVs. The diversity data analysis of ASVs generated 889 species annotation results at 8 taxonomic levels. The alpha diversity analysis showed that the richness (Sobs index), diversity (Shannon index), evenness (Shannoneven index), and phylogenetic diversity (PD index) of fecal community of the obese/overweight children were increased compared to those of the normal weight children, but there were no statistical differences between the two groups (P>0.05). The beta diversity analysis showed that there was little difference in the composition of microbial species between the two groups, and no significant clustering separation was observed. The results of species composition analysis at phylum, order, family, and genus levels of 74 samples showed a consistent core microbiota structure in the two groups of gut microbiota, but there were differences in microbiota composition. The differences in microbial community composition between the two groups were manifested at the taxonomic levels of order, family, and genus, among which phylum Firmicutes, order Erysipelotrichales, family Erysipelatocyclostridiaceae, genus Erysipelotrichaceae_ UCG-003 and genus Catenibacterium were significantly enriched in the obese/overweight group and contributed significantly to the phenotypic difference of obese/overweight [linear discriminant analysis (LDA)=3.72, P<0.01; LDA=3.29, P<0.05). Phylum Proteobacteria, order Enterobacterales, family Enterobacteriaceae, genus unclassified was significantly enriched in the normal weight group and contributed significantly to the phenotypic difference of normal body weight (LDA=3.93, P<0.05). Conclusion The richness and diversity of gut microbiota in obese/overweight children aged 2-6 years in Shanghai are increased, but there is no difference compared to normal weight children. There is a difference in the composition of gut microbiota between the obese/overweight group and the normal weight group.

Objective:To analyze the development status,frontiers and hotspots of radiomics research in the past five years from 2019 to 2023,and to provide theoretical reference and guidance for radiomics research in China.Methods:The relevant literature in the field of radiomics published in the core database of Web of Science(WOS)from January 1,2003 to August 10,2023 were searched.According to the inclusion and exclusion criteria,6,777 eligible literatures were screened and obtained,including 6,254 articles in the past five years from January 1,2019 to August 10,2023.Bibliometric methods were used to analyze the clustering of countries and regions,institutions,journals,authors,keywords and draw visual maps.Results:The 6,777 radiomics-related articles published between 2003 and 2023 were first published in 2011,and the number of papers tended to stabilize in 2018,and then the number showed a significant trend of increasing year by year.Among the 6,254 articles published from 2019 to 2023,China(3,564 articles),United States(1,164 articles),and Italy(530 articles)ranked the top 3 in terms of publication volume,with close cooperation between countries.General Electric of the United States published the most papers(448 articles),and the journal Frontiers in Oncology(704 papers)ranked first in terms of paper publication volume.From 2019 to 2023,the diseases of concern in the field of radiomics are rectal cancer,hepatocellular carcinoma,breast cancer,and lung cancer(especially non-small cell lung cancer).Conclusion:Although China ranks first in the number of national publications,the quality of research still needs to be improved.In the future,the research trend in the field of radiomics may be the diagnosis and differential diagnosis of various diseases,the prediction and evaluation of curative effect,the evaluation of tumor disease metastasis and the identification of gene phenotype based on radiomics combined with multiple imaging techniques.

Objective:To design an intelligent measurement program of detection parameters of quality control of imaging system of multi-slice spiral computed tomography (MSCT) based on MATLAB software platform,so as to achieve intelligent detection for quality control of MSCT imaging system. Methods:We designed an intelligent measurement program for the detection parameters of quality control of MSCT imaging system (referred to as the intelligent measurement program) bases on the function of graphical user interfaces (GUI) of MATLAB software. A series of algorithms such as image reading,binarization,and circular detection based on the Hough transform were employed to conduct automatic measurement and calculation for CT values (water),noise and uniformity of the parameters of MSCT quality control. The Intraclass Correlation Coefficient (ICC) was adopted to analyze the consistency of the detection results between the manual measurement method and the designed intelligent detection program. Results:The designed intelligent measurement program in this study can automatically assess the detection parameters of quality control of the MSCT imaging system,which included CT values (water),noise and uniformity. There was favorable consistency in the detection results between the manual measurement method and the intelligent measurement program (range of ICC values was from 0.881 to 0.985). Conclusion:The intelligent measurement program of detection parameters of quality control of MSCT imaging system can simplify the process of calculating detection parameters of quality control of MSCT imaging system,and provide a reliable detection tool for quality control of MSCT imaging equipment,which can effectively improve the detection efficiency of quality control.