OBJECTIVE To explore the distribution and drug resistance of pathogens isolated from the diabetes mel-litus patients complicated with skin soft tissue infections(SSTI)so as to provide guidance for reasonable clinical use of antibiotics.METHODS A total of 1177 diabetes mellitus patients with SSTI who were hospitalized in endo-crinology department of Zhongda Hospital Affiliated to Southeast University from Jan.2016 to Dec.2023 were re-cruited as the research subjects.The wound secretion specimens were cultured for pathogens,and the drug suscep-tibility testing was performed.The pathogens isolated in the 8 years and the results of drug susceptibility testing for the main pathogens were divided into the first 4-year group(from 2016 to 2019)and the last 4-year group(from 2020 to 2023).RESULTS Among the 1177 patients with SSTI,the patients with diabetic foot infections ac-counted for 76.10％.Among the 1383 strains of isolated pathogens,there were 815(58.93％)strains of gram-positive bacteria,529(38.25％)strains of gram-negative bacteria,and 39(2.82％)strains of fungi.The constitu-ent ratio of Staphylococcus aureus strains of the last 4-year group was lower than that of the first 4-year group,while the constituent ratio of Pseudomonas aeruginosa strains of the last 4-year group was higher than that of the first 4-year group(P＜0.05).The drug resistance rate of the S.aureus strains to oxacillin and the drug resistance rate of Streptococcus agalactiae strains to erythromycin were increased,and the drug resistance rate of Escherichia coli strains to ampicillin-sulbactam was increased(P＜0.05).The P.aeruginosa strains that were resistant to piperacillin-tazobac-tam,ceftazidime,cefepime,tobramycin,gentamycin,amikacin,ciprofloxacin and levofloxacin were detected in the last 4-year group.Among 7 strains of Candida glabrata,1 strain was resistant to fluconazole,and 2 strains were resistant to itraconazole.CONCLUSIONS There are a great variety of pathogens isolated from the diabetes mellitus patients complicated with SSTI,the gram-positive bacteria are dominant.The drug resistance rates of the major species of pathogens are remarkably higher in the last 4-year group than in the first 4-year group.

Objective To analyze the risk factors associated with early recurrence after surgery for concomitant exo-tropia and establish a Nomogram prediction model.Methods A retrospective analysis was conducted on 243 cases(486 eyes)of concomitant exotropia treated in the Ophthalmology Department of our hospital from October 2015 to October 2021.The patients were divided into a training set(n=170)and a validation set(n=73)at a ratio of 7∶3.The Lasso re-gression,Boruta algorithm,and random forest algorithm were used to screen risk variables related to postoperative recur-rence of concomitant exotropia.The Spearman correlation analysis and variance inflation factor(VIF)were used to assess collinearity among variables,and a Nomogram prediction model was established using multivariate Cox regression.The re-ceiver operating characteristic curve,calibration curve,and clinical decision curve of the model at 6 months,18 months,and 24 months after surgery were used to assess the efficacy of the model.Results Three machine learning methods in-cluding Lasso regression,Boruta algorithm,and random forest algorithm identified six significant variables that might con-tribute to early recurrence after strabismus surgery from 22 risk variables in both training and validation sets.No collineari-ty was found among the six variables(r＜0.6,VIF＜5).Multivariate Cox regression revealed that strabismus type(inter-mittent exotropia),preoperative strabismus angle,best-corrected visual acuity(BCVA)in the right eye,BCVA in both eyes,and surgical procedures(unilateral lateral rectus recession)were risk factors for early recurrence after surgery for concomitant exotropia.Meanwhile,a Nomogram prediction model was constructed based on these 6 factors.The receiver operating characteristic,calibration,and clinical decision curves indicated that the prediction model had good accuracy,consistency,and clinical applicability.Conclusion Nomogram prediction model can effectively predict the risk of early recurrence after surgery for concomitant exotropia,and provides a reference for ophthalmologists to intervene early in pa-tients.

Objective To analyze the changing trend of the disease burden of age-related macular degeneration(AMD)in China from 1990 to 2021 and the impact of age,period,and cohort effects,and to predict the standardized prev-alence and disability-adjusted life year(DALY)rate of AMD in China from 2022 to 2035.Methods The data on the preva-lence of AMD,the number of AMD patients,DALYs,and DALY rates in China from 1990 to 2021 were obtained from the Global Burden of Disease(GBD 2021).The segmented regression model was used to analyze the trend changes in the prev-alence and DALY of patients with AMD in China,the age-period-cohort(APC)model was employed to estimate the age,period,and cohort effects related to the prevalence risk and DALY risk of AMD,and the Bayesian age-period cohort model was used to analyze the standardized prevalence and DALY rate of AMD in China from 2022 to 2035.Results Compared with 1990,the number of AMD patients and the prevalence of this disease in China in 2021 increased by 199.94％and 148.02％,respectively,and the DALYs and DALY rate increased by 183.95％and 134.80％,respectively,with the higher value of relevant indicators observed in females compared with males.From 1990 to 2021,the standardized prevalence of AMD in China showed an increasing trend,with the average annual percentage change(AAPC)being 0.17％.In contrast,the standardized DALY rate of AMD showed a decreasing trend,with the AAPC being-0.03％.The results of the age-peri-od-cohort model showed that the longitudinal age curves for both the prevalence and DALY rate of AMD in China showed an increasing and then decreasing trend,peaking at 85-89 years of age.Over time,the prevalence risk of AMD increased and then decreased,while the DALY risk continued to decline.The birth cohort analysis results showed that the overall fluctua-tion of the AMD prevalence risk cohort effect in China was small,with a decline first and then a fluctuating increase.Mean-while,the DALY risk gradually decreased as the birth cohort moved backward.It can be predicted that both the standard-ized prevalence and the standardized DALY rate of AMD may present an upward trend in China from 2022 to 2035.Conclu-sion From 1990 to 2021,the standardized prevalence of AMD in China displays an upward trend,while its standardized DALY rate exhibits a downward trend.Notably,the disease burden is more pronounced in the female population compared with the male population.With the continued aging of the population,it can be predicted that both the standardized preva-lence and DALY rate of AMD will escalate from 2022 to 2035.This finding underscores the need for targeted interventions,particularly for elderly women.Meanwhile,it is necessary to enhance health education for the whole population and formu-late effective public health policies to alleviate the disease burden associated with AMD in China.

OBJECTIVE To analyze the clinical characteristics of the 12 patients tested with Candida auris in a three-A hospital so as to provide guidance for prevention and control of nosocomial C.auris infection.METHODS The specimens sources and departments where the C.auris strains were isolated as well as the drug resistance were retrospectively collected from Zhongda Hospital Affiliated to Southeast University between Sep.2023 and Jun.2024.The clinical characteristics of the patients with C.auris infection were summarized.The epidemiological survey was conducted for the possibility of its transmission in hospitals,and the corresponding modified preven-tion measures were put forward.RESULTS Among the 12 patients who were tested with C.auris,10 were male,and 2 were female;the age ranged between 21 and 92 years old.Most of the patients were complicated with multi-ple underlying diseases and had the history of repeated hospitalization as well as the history of invasive operation procedures such as tracheotomy,urinary catheterization,gastric tube indwelling and venoarterial catheterization;in the meantime,other multidrug-resistant organisms(MDROs)and fungi were tested in those patients,and the patients used multiple types of antibiotics.Totally 16 strains of C.auris were isolated from the 12 patients with C.auris tested,62.50％(10/16)of which were isolated from urine specimens,18.75％(3/16)were isolated from sputum specimens,and 6.25％(1/16)were isolated from deep venous catheter,tissue biopsy and wound swab specimens.All of the 16 strains of C.auris were resistant to fluconazole and sensitive to caspofungin;4 strains were resistant to amphotericin B.Totally 2 patients had Candida auris infection,one was pulmonary infection,and the other was urinary tract infection,and the infection rate was 16.67％;both patients were cured.There were 10 cases of colonization,and the colonization rate was 83.33％.The result of epidemiological survey indicated that the C.auris that was tested in the No.8 patient may originate from the No.4 patient who carelessly brought from outside the hospital due to poor implementation of standardized prevention measures.CONCLUSIONS The patients tested with C.auris usually have complicated medical backgrounds.Although the colonized C.auris strains are dominant among the strains in the hospital,the related departments need to intensify the implementation of pre-vention measures so as to prevent the transmission of C.auris and pay special attention to the early identification and management of imported pathogens.

Objective To analyze the risk factors associated with early recurrence after surgery for concomitant exo-tropia and establish a Nomogram prediction model.Methods A retrospective analysis was conducted on 243 cases(486 eyes)of concomitant exotropia treated in the Ophthalmology Department of our hospital from October 2015 to October 2021.The patients were divided into a training set(n=170)and a validation set(n=73)at a ratio of 7∶3.The Lasso re-gression,Boruta algorithm,and random forest algorithm were used to screen risk variables related to postoperative recur-rence of concomitant exotropia.The Spearman correlation analysis and variance inflation factor(VIF)were used to assess collinearity among variables,and a Nomogram prediction model was established using multivariate Cox regression.The re-ceiver operating characteristic curve,calibration curve,and clinical decision curve of the model at 6 months,18 months,and 24 months after surgery were used to assess the efficacy of the model.Results Three machine learning methods in-cluding Lasso regression,Boruta algorithm,and random forest algorithm identified six significant variables that might con-tribute to early recurrence after strabismus surgery from 22 risk variables in both training and validation sets.No collineari-ty was found among the six variables(r＜0.6,VIF＜5).Multivariate Cox regression revealed that strabismus type(inter-mittent exotropia),preoperative strabismus angle,best-corrected visual acuity(BCVA)in the right eye,BCVA in both eyes,and surgical procedures(unilateral lateral rectus recession)were risk factors for early recurrence after surgery for concomitant exotropia.Meanwhile,a Nomogram prediction model was constructed based on these 6 factors.The receiver operating characteristic,calibration,and clinical decision curves indicated that the prediction model had good accuracy,consistency,and clinical applicability.Conclusion Nomogram prediction model can effectively predict the risk of early recurrence after surgery for concomitant exotropia,and provides a reference for ophthalmologists to intervene early in pa-tients.

Objective To analyze the changing trend of the disease burden of age-related macular degeneration(AMD)in China from 1990 to 2021 and the impact of age,period,and cohort effects,and to predict the standardized prev-alence and disability-adjusted life year(DALY)rate of AMD in China from 2022 to 2035.Methods The data on the preva-lence of AMD,the number of AMD patients,DALYs,and DALY rates in China from 1990 to 2021 were obtained from the Global Burden of Disease(GBD 2021).The segmented regression model was used to analyze the trend changes in the prev-alence and DALY of patients with AMD in China,the age-period-cohort(APC)model was employed to estimate the age,period,and cohort effects related to the prevalence risk and DALY risk of AMD,and the Bayesian age-period cohort model was used to analyze the standardized prevalence and DALY rate of AMD in China from 2022 to 2035.Results Compared with 1990,the number of AMD patients and the prevalence of this disease in China in 2021 increased by 199.94％and 148.02％,respectively,and the DALYs and DALY rate increased by 183.95％and 134.80％,respectively,with the higher value of relevant indicators observed in females compared with males.From 1990 to 2021,the standardized prevalence of AMD in China showed an increasing trend,with the average annual percentage change(AAPC)being 0.17％.In contrast,the standardized DALY rate of AMD showed a decreasing trend,with the AAPC being-0.03％.The results of the age-peri-od-cohort model showed that the longitudinal age curves for both the prevalence and DALY rate of AMD in China showed an increasing and then decreasing trend,peaking at 85-89 years of age.Over time,the prevalence risk of AMD increased and then decreased,while the DALY risk continued to decline.The birth cohort analysis results showed that the overall fluctua-tion of the AMD prevalence risk cohort effect in China was small,with a decline first and then a fluctuating increase.Mean-while,the DALY risk gradually decreased as the birth cohort moved backward.It can be predicted that both the standard-ized prevalence and the standardized DALY rate of AMD may present an upward trend in China from 2022 to 2035.Conclu-sion From 1990 to 2021,the standardized prevalence of AMD in China displays an upward trend,while its standardized DALY rate exhibits a downward trend.Notably,the disease burden is more pronounced in the female population compared with the male population.With the continued aging of the population,it can be predicted that both the standardized preva-lence and DALY rate of AMD will escalate from 2022 to 2035.This finding underscores the need for targeted interventions,particularly for elderly women.Meanwhile,it is necessary to enhance health education for the whole population and formu-late effective public health policies to alleviate the disease burden associated with AMD in China.

[Objective]To explore the effects of exosomal CXCL on the biological behavior of cervical cancer cells and its underlying mechanisms.[Methods]Chemokine CXCL was first screened through bioinformatics databases.The GEPIA database was analyze CXCL expression in cervical cancer tissues and adjacent normal cervical tissues.Western blot was performed to detect CXCL expression levels in cervical cancer cells(Caski)and normal cervical epithelial cells(H8).The successful isolation of exosomes was confirmed by nanoparticle tracking analysis,transmission electron microscopy(TEM)and Western blot.ELISA was employed to detect the expression level of exosomes CXCL was determined by ELISA.After CXCL knockdown via siRNA transfection,cells were divided into three groups:blank control,negative control and experimental groups.Cell proliferation was evaluated using the CCK-8 assay,while cell migration and invasion were assessed by Transwell assays.[Results]Exosomal CXCL expression was significantly upregulated in cervical cancer cells compared with normal cervical epithelial cells(P<0.01),and also markedly elevated in cervical cancer tissues compared with adjacent normal tissues.After low expression of CXCL knockdown significantly reduced CXCL expression in both cancer cells and their derived exosomes(P<0.05).Low expression markedly inhibited the proliferation,invasion and migration abilities[Conclusion]Silencing exosomal CXCL may inhibit the malignant biological behavior of cancer cells.

OBJECTIVE To analyze the clinical characteristics of the 12 patients tested with Candida auris in a three-A hospital so as to provide guidance for prevention and control of nosocomial C.auris infection.METHODS The specimens sources and departments where the C.auris strains were isolated as well as the drug resistance were retrospectively collected from Zhongda Hospital Affiliated to Southeast University between Sep.2023 and Jun.2024.The clinical characteristics of the patients with C.auris infection were summarized.The epidemiological survey was conducted for the possibility of its transmission in hospitals,and the corresponding modified preven-tion measures were put forward.RESULTS Among the 12 patients who were tested with C.auris,10 were male,and 2 were female;the age ranged between 21 and 92 years old.Most of the patients were complicated with multi-ple underlying diseases and had the history of repeated hospitalization as well as the history of invasive operation procedures such as tracheotomy,urinary catheterization,gastric tube indwelling and venoarterial catheterization;in the meantime,other multidrug-resistant organisms(MDROs)and fungi were tested in those patients,and the patients used multiple types of antibiotics.Totally 16 strains of C.auris were isolated from the 12 patients with C.auris tested,62.50％(10/16)of which were isolated from urine specimens,18.75％(3/16)were isolated from sputum specimens,and 6.25％(1/16)were isolated from deep venous catheter,tissue biopsy and wound swab specimens.All of the 16 strains of C.auris were resistant to fluconazole and sensitive to caspofungin;4 strains were resistant to amphotericin B.Totally 2 patients had Candida auris infection,one was pulmonary infection,and the other was urinary tract infection,and the infection rate was 16.67％;both patients were cured.There were 10 cases of colonization,and the colonization rate was 83.33％.The result of epidemiological survey indicated that the C.auris that was tested in the No.8 patient may originate from the No.4 patient who carelessly brought from outside the hospital due to poor implementation of standardized prevention measures.CONCLUSIONS The patients tested with C.auris usually have complicated medical backgrounds.Although the colonized C.auris strains are dominant among the strains in the hospital,the related departments need to intensify the implementation of pre-vention measures so as to prevent the transmission of C.auris and pay special attention to the early identification and management of imported pathogens.

OBJECTIVE To explore the distribution and drug resistance of pathogens isolated from the diabetes mel-litus patients complicated with skin soft tissue infections(SSTI)so as to provide guidance for reasonable clinical use of antibiotics.METHODS A total of 1177 diabetes mellitus patients with SSTI who were hospitalized in endo-crinology department of Zhongda Hospital Affiliated to Southeast University from Jan.2016 to Dec.2023 were re-cruited as the research subjects.The wound secretion specimens were cultured for pathogens,and the drug suscep-tibility testing was performed.The pathogens isolated in the 8 years and the results of drug susceptibility testing for the main pathogens were divided into the first 4-year group(from 2016 to 2019)and the last 4-year group(from 2020 to 2023).RESULTS Among the 1177 patients with SSTI,the patients with diabetic foot infections ac-counted for 76.10％.Among the 1383 strains of isolated pathogens,there were 815(58.93％)strains of gram-positive bacteria,529(38.25％)strains of gram-negative bacteria,and 39(2.82％)strains of fungi.The constitu-ent ratio of Staphylococcus aureus strains of the last 4-year group was lower than that of the first 4-year group,while the constituent ratio of Pseudomonas aeruginosa strains of the last 4-year group was higher than that of the first 4-year group(P＜0.05).The drug resistance rate of the S.aureus strains to oxacillin and the drug resistance rate of Streptococcus agalactiae strains to erythromycin were increased,and the drug resistance rate of Escherichia coli strains to ampicillin-sulbactam was increased(P＜0.05).The P.aeruginosa strains that were resistant to piperacillin-tazobac-tam,ceftazidime,cefepime,tobramycin,gentamycin,amikacin,ciprofloxacin and levofloxacin were detected in the last 4-year group.Among 7 strains of Candida glabrata,1 strain was resistant to fluconazole,and 2 strains were resistant to itraconazole.CONCLUSIONS There are a great variety of pathogens isolated from the diabetes mellitus patients complicated with SSTI,the gram-positive bacteria are dominant.The drug resistance rates of the major species of pathogens are remarkably higher in the last 4-year group than in the first 4-year group.

Objective To construct a Type 1 diabetes model in miniature pigs and explore postoperative care strategies for effectively prolonging the survival time of the model pigs.Methods Seven Banna miniature pigs were selected for pancreatectomy.Glucose,vitamins,and antibiotics were administered for 3-5 days after surgery to aid recovery.Blood glucose and urine glucose levels were measured twice a day in the morning and evening to adjust insulin supplementation accordingly.The model pigs were observed daily and records were kept,including orexis,psychosis,weakness,skin ulcer,and feces and urine.Body weight was measured weekly until the death of the model animals.Based on the model pigs'condition,glucose injection and Ringer's lactate solution were administered to supplement nutrition and correct electrolyte imbalances.Results All seven Banna miniature pigs showed typical symptoms of diabetes:random blood glucose levels higher than 11.1 mmol/L after pancreatectomy,far exceeding the average blood glucose level of 6.0 mmol/L in normal pigs;positive urine glucose;and progressive weight loss.These features indicated the successful construction of Type 1 diabetes model.Additionally,Type 1 diabetic pigs that survived more than 8 weeks showed progressive hair loss and skin ulceration.Euthanasia was performed on model pigs when they were unable to stand or even eat independently,and pathological examination and HE staining were conducted on tissues collected from affected organs such as the liver,kidneys,and skin.Pathological sections revealed liver congestion,massive glycogen accumulation,ballooning degeneration of hepatocytes,and progressive liver fibrosis,along with glomerular congestion,vacuolar degeneration in renal tubular epithelial cells,proteinuria,dermal congestion,thinning of vascular walls,and varying degrees of parakeratosis and dyskeratosis in the liver,kidneys,and skin tissues due to prolonged hyperglycemia.The average survival time of the constructed Banna miniature pig diabetes model was 44 d,with a maximum survival time of 121 d.Conclusion Type 1 diabetes model can be constructed successfully in Banna miniature pigs through pancreatectomy.With meticulous postoperative care,a long-term Type 1 diabetes model with significant complications can be achieved,providing a stable large-animal model for Type 1 diabetes treatment strategies.