In recent years,the microorganisms residues in endoscopes have frequently resulted in cross transmis-sion or even the outbreak of hospital-associated infections.It is of great importance to carry out standardized bio-logical surveillance of endoscopes,find out the high-risk links of cleaning and disinfection,and take targeted inter-vention measures to reduce the incidence of endoscopy-related infection.Based on the related guidelines in China and abroad as well as the latest clinical practice researches,the biological surveillance sampling and culture for en-doscopes were summarized in the article so as to enhance the surveillance quality,ensure the reprocessing effect and guarantee the endoscopy-related quality and safety.

OBJECTIVE To explore the distribution and drug resistance of the pathogens causing the abdominal(pelvic)soft tissue infections in secondary or above medical institutions of Suzhou so as to provide bases for pre-vention and control of the infections.METHODS The surveillance data of abdominal(pelvic)soft tissue infections that were reported regularly from 58 member institutions of Suzhou from Jan.2020 to Dec.2023 were collected from the regional nosocomial infection surveillance platform by Suzhou nosocomial infection management and qual-ity control center.Totally 26 tertiary hospitals and 32 secondary hospitals were involved.RESULTS Most of the 1178 strains of pathogens were isolated from the tertiary hospitals,the proportion of gram-negative bacteria was the highest;Escherichia coli,Klebsiella pneumoniae and Enterococcus faecium ranked the top 3 species.The constituent ratio of carbapenem-resistant Klebsiella pneumoniae(CRKP)strains the was highest among the mul-tidrug-resistant organisms.The K.pneumoniae and CRKP strains were sensitive to tigecycline;the E.coli strains were highly sensitive to carbapenems,minocycline and piperacillin-tazobactam;Stenotrophomonas maltophilia strains were highly resistant to most of the antibiotics;Enterobacter cloacae strains were highly resistant to ampi-cillin-sulbactam but were highly sensitive to carbapenems;the drug resistance rate of the A.baumannii strains to tigecycline was less than 5％;the drug resistance rate of Pseudomonas aeruginosa strains to ticarcillin-clavulanic acid was highest.CONCLUSIONS The abdominal(pelvic)soft tissue infection is always mixed infections.The pathogens show severe drug resistance.It is necessary to strengthen the surveillance of etiological spectrum and drug resistance and conduct targeted guidance for clinical practice of diagnosis and treatment.

Objective:To explore the clinical and genetic characteristics and follow-up status of pediatric patients with hepatic glycogen storage disease in order to further improve the prognosis.Methods:The clinical data of hospitalized children diagnosed with hepatic glycogen storage disease in the Department of Gastroenterology at the Children's Hospital of Capital Institute of Pediatrics from January 2010 to April 2023 were collected and retrospectively analyzed. The results of laboratory examination and gene sequencing were analyzed, and the number of cases that exceeded three (n) were grouped according to the genetic results: Group 1 was type Ⅰ ( n=8), Group 2 was type Ⅲ ( n=5), and Group 3 was type Ⅸa ( n=8).The growth, development and prognosis of the children were followed up. The related clinical characteristics of pediatric hepatic glycogen storage disease were summarized. Results:Twenty-five pediatric patients with hepatic glycogen storage disease were enrolled in this study, with fifteen males and ten females. The mean age of diagnosis was (29.1±13.5) months. There were twelve cases (48%) accompanied with varying degrees of hypoglycemia, and two cases (8%) with severe hypoglycemia.There were nineteen cases with stature retardation (76%), four cases with anemia (16%), three cases with proteinuria (12%), and one case with cholestasis (4%).The genetic results showed that there were four cases of type Ⅰa (16%), four cases of type Ⅰb (16%), one case of type Ⅱ (4%), five cases of type Ⅲ (20%), two cases of type Ⅳ (8%), one case of type Ⅵ (4%), and eight cases of type Ⅸ (32%).The three subgroups analysis showed that there were significant statistical differences in uric acid and triglycerides among the three groups ( P<0.05), while there were no statistical significant differences in transaminase levels, fasting blood glucose, lactate, cholesterol, and low-density lipoprotein levels ( P>0.05). The height-for-age Z scores of the three groups were -2.86±1.62, -1.46±1.06, and -1.83±0.98, respectively. The growth and development of groups 2 and 3 were significantly improved compared with group 1 ( P<0.05), with Z scores of -2.28±1.07, 0.20±1.54, and 0.10±1.44 after at least one year of follow-up. All pediatric patients with type Ⅸa had discontinued using raw corn starch after more than one year of follow-up and their transaminases had returned to normal. Four pediatric patients with type Ia were orally administered raw corn starch on a regular basis, and the aminotransferases, uric acid, and lactate were normal, with hypoglycemia being monitored. Among the four cases with type Ⅰb, one had recurrent respiratory tract and intestinal infections, two were combined with Crohn's disease, and one was monitored for hypoglycemia. In four cases of type Ⅲ, raw corn starch was discontinued, and a high-protein, low-carbohydrate diet was adopted, with the exception of the presence of high creatine kinase and normal aminotransferase. Liver failure resulted in the death of one type Ⅵ case, while two were type Ⅳ cases; one died, and one case recently had slightly elevated aminotransferase. Conclusion:When pediatric patients exhibit manifestations such as hepatomegaly, elevated transaminases, fasting hypoglycemia, and delayed growth and development, it is necessary to be alert to hepatic glycogen storage disease. Clinical manifestations and biochemical indicators combined with genetic testing are helpful for the diagnosis of hepatic glycogen storage disease. Simultaneously, targeted nutritional management should be carried out according to the metabolic characteristics of different subtypes, with attention on growth and development status.

Objective:To explore the associated factors for membranous nephropathy (MN) patients with IgM deposition, and to construct a prediction model.Methods:This study was a retrospective cohort study. Patients diagnosed with MN with IgM deposition by renal biopsy in the Fourth Hospital of Hebei Medical University from February 2017 to December 2023 were retrospectively included. Clinical and pathological data were collected. The study population was randomized into a training set and a validation set at a 7:3 ratio. The endpoint event was defined as the remission of MN, and the patients were divided into remission group and non-remission group to compare the clinical and pathological examination results. Least absolute shrinkage and selection operator regression analysis and Cox regression analysis were used to explore the associated factors of poor prognosis of MN patients with IgM deposition. Internal validation was conducted using the validation set data. The clinical efficacy of the predictive model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve and generating calibration curves. The total nomogram score for each patient was calculated based on the training set data, and the predictive performance was assessed by plotting the ROC curve. Patients were then stratified into low-risk and high-risk groups according to the optimal cut-off value derived from the ROC analysis of the total nomogram score. Kaplan-Meier survival analysis was performed to compare the remission rate between the two groups. Model performance was evaluated using the validation set.Results:A total of 200 MN patients with IgM deposition were included, and 49.0% of them achieved clinical remission. In the training set, statistically significant differences were observed in 24-hour urine protein quantification ( Z=-2.638, P=0.008), renal arteriolar wall thickening ( χ2=6.891, P=0.009), the proportion of patients receiving immunosuppressive therapy ( χ2=21.381, P<0.001), and the proportion of patients treated with corticosteroids combined with cyclophosphamide ( χ2=10.107, P=0.001). Through least absolute shrinkage and selection operator regression and Cox regression, 2 factors associated with clinical remission in MN patients with IgM deposition were simultaneously identified from 16 potential associated factors, including the use of immunosuppressants ( HR=3.823, 95% CI 2.055-7.113, P<0.001), and renal arteriolar wall thickening ( HR=0.428, 95% CI 0.221-0.831, P=0.012). Incorporating the clinical measurement of phospholipase A2 receptor (PLA2R) antibodies, a predictive model was established. The performance of the model was evaluated using the training dataset, yielding an area under the ROC curve of 0.731 (95% CI 0.648-0.814), with a sensitivity of 88.7% and a specificity of 55.1%. The optimal cut-off value was a total nomogram score of 41.7 points. The Kaplan-Meier survival analysis showed that the remission rate was significantly higher in the low-risk group than that of the high-risk group (Log-rank test, χ2=33.525, P<0.001). Model validation was performed using the validation dataset, which showed an AUC of 0.715 (95% CI 0.591-0.839), sensitivity of 70.4%, and specificity of 63.6%. Similarly, the Kaplan-Meier survival analysis demonstrated a significantly higher remission rate in the low-risk group than in the high-risk group (Log-rank test, χ2=8.467, P=0.004). Conclusion:A nomogram predictive model for remission of MN patients with IgM deposition, based on serum PLA2R antibody levels, the use of immunosuppressive therapy, and renal arteriolar wall thickening is developed. The model demonstrates a moderate clinical applicability.

Objective:To identify the influencing factors for acute kidney injury (AKI) in patients undergoing interventional embolization of intracranial aneurysms under general anesthesia and develop a predictive model.Methods:In this retrospective study, the clinical data from patients who underwent elective interventional embolization of intracranial aneurysms at Hospital Affiliated to Nanjing Medical University from January 2019 to December 2023 were collected. All the patients were divided into AKI group and non-AKI group based on whether AKI occurred postoperatively. The general data, preoperative laboratory parameters, and intraoperative parameters of the patients were obtained through the electronic medical record system and operation-anesthesia management system. The variables screened using LASSO regression were included in the multivariate logistic regression analysis to identify the risk factors for AKI following embolization of cerebrovascular aneurysms. Based on the results, a predictive model was established and evaluated.Results:A total of 428 patients were collected, with 73 in AKI group and 355 in non-AKI group. LASSO regression for variable selection and multivariate logistic regression analysis showed that serum creatinine concentration, duration of surgery and age were independent risk factors, and the glomerular filtration rate and hemoglobin concentration were protective factors for AKI after interventional embolization of intracranial aneurysms ( P<0.05). The area under the receiver operating characteristic curve of the prediction model was 0.860 (95% confidence interval 0.815 to 0.905), with a sensitivity of 0.880 and a specificity of 0.718. The calibration curve showed a mean absolute error of 0.014. The Hosmer-Lemeshow goodness-of-fit test indicated that there was no statistically significant difference between the predicted and observed values of the model ( χ2=3.29, P=0.915). The clinical decision curve demonstrated that the net benefit rate for patients was higher when the threshold probability ranged from 0 to 0.83. Conclusions:The glomerular filtration rate, serum creatinine concentration, hemoglobin concentration, duration of surgery and age are influencing factors for AKI following interventional embolization of intracranial aneurysms, and the prediction model established based on these factors demonstrates good predictive performance.

Objective To examine the association between lymphocyte subsets and renal clinicopathological characteristics as well as prognosis in patients with IgA nephropathy(IgAN).Methods The retrospective analysis included general clinical data and pathological examination results of IgAN patients diagnosed by renal biopsy at the Fourth Hospital of Hebei Medical University from January 2018 to January 2022.Correlation tests were conducted to examine the relationship between lymphocyte subsets and other significant clinicopathological parameters.The optimal cut-off value of CD4+T determined using the Youden index,and patients were grouped accordingly.Kaplan-Meier survival curves and Cox regression analyses were employed to compare the low and high CD4+T lymphocyte groups among IgAN patients,identifying factors influencing renal function progression.The endpoint event was defined as a decrease in estimated glomerular filtration rate(eGFR)of≥30%from baseline,progression to end-stage renal disease(ESRD)[eGFR<15 mL/(min·1.73 m2)or initiation of renal replacement therapy],or all-cause mortality.Results Low CD4+T lymphocytes were significantly positively correlated with blood IgA levels and the proportion of glomerular crescents in IgAN patients(all P<0.05).This study included a total of 53 IgAN patients,divided into two groups based on CD4+T lymphocyte counts:20 patients in the low CD4+T lymphocyte group and 33 patients in the high CD4+T lymphocyte group.In the low CD4+T lymphocyte group,there was a higher proportion of males and a lower proportion of glomerular crescents(P<0.05).Kaplan-Meier survival analysis revealed that patients with low CD4+lymphocytes had a significantly lower cumulative renal survival rate(Log-Rank test χ2=4.188,P=0.041).Cox regression analysis indicated that low CD4+lymphocytes were an independent risk factor for the progression of renal function decline in IgAN patients(HR=2.614,95%CI:1.006～6.788,P=0.048).Conclusions Patients with higher levels of CD4+T lymphocytes exhibit a lower risk of adverse renal outcomes.In contrast,patients with IgA nephropathy and low CD4+T lymphocyte counts tend to have poorer renal survival rates.

OBJECTIVE To investigate the changes of etiological submission rates before the antimicrobial therapy after a series of intervention measures were taken so as to optimize the use and management of antibiotics.METHODS A total of 97,146 patients who were hospitalized and treated with antibiotics in the First Affiliated Hospital of Soochow University from Jul.2021 to Jun.2024 were recruited as the research subjects.Jan.2023 was set as the time node of intervention,the time period from Jul.2021 to Dec.2022 was assigned as the pre-interven-tion group,and the time period from Jan.2023 to Jun.2024 was assigned as the post-intervention group.The etio-logical submission rates before the antimicrobial therapy were observed by interrupted time series before and after the intervention measures were taken.The changes of isolation rates of multidrug-resistant organisms and inci-dence of hospital-associated infections were estimated by chi-square test.RESULTS The etiological submission rates before the antimicrobial therapy,etiological submission rates before combined use of major antibiotics and etiological submission rates relating to diagnosis of hospital-associated infections were higher after the intervention than before the intervention(all P＜0.05).The interrupted time series analysis showed that from the perspective of long-term benefit,the intervention measures could raise the etiological submission rates before the use of re-stricted,special grades of antibiotics and general antibiotics,and the net benefits were 0.85％,0.67％and 0.68％,respectively(all P＜0.05);there was no significant difference in the etiological submission rate before the com-bined use of major antibiotics.After the intervention,the incidence of multidrug-resistant organisms infection de-creased from 0.46％to 0.27％(P＜0.001);the isolation rate of multidrug-resistant organisms was 25.73％after the intervention,27.47％before the intervention,and there was no significant difference.CONCLUSIONS Scientif-ic and reasonable interventions may effectively raise the etiological submission rates before the antimicrobial thera-py,however,the etiological submission rate for combined use of major antibiotics and the isolation rate of multi-drug-resistant organisms are not improved remarkably.It is necessary to further formulate targeted interven-tion measures so as to push forward high-quality development of infection control.

OBJECTIVE To retrospectively investigate the incidence of surgical site infection(SSI),distribution and drug resistance of pathogens in 53 hospitals of Suzhou area from 2020 to 2023 so as to provide strategies for pre-vention and control of the hospital-associated infections in Suzhou area.METHODS The data regarding the SSI,distribution and drug resistance of pathogens were statistically analyzed through Suzhou City Regional Hospital In-fection Surveillance Platform.RESULTS The incidence of SSI was 0.24％among the 53 hospitals from 2020 to 2023.Staphylococcus aureus,Enterococcus faecalis,Staphylococcus epidermidis,Enterococcus faecium and Staphylococcus haemolyticus ranked the top 5 species of gram-positive bacteria;Escherichia coli,Klebsiella pneumoniae,Pseudomonas aeruginosa,Enterobacter cloacae and Acinetobacter baumannii ranked the top 5 spe-cies of gram-negative bacteria.There were significant differences in the distributions of S.aureus,K.pneumoniae and A.baumannii in the superficial,deep and organ cavities(P＜0.05).The isolation rate of carbapenem-resistant Acinetobacter baumannii(CRAB)was 69.23％,and the isolation rate of methicillin-resistant Staphylococcus au-reus(MRSA)was 42.14％.The drug resistance rate of the S.aureus strains to oxacillin reached up to 40.24％;the drug resistance rates of the A.baumannii to imipenem and meropenem reached up 63.00％and 65.80％,re-spectively.The drug resistance rates of the K.pneumoniae strains to imipenem and meropenem approximated to 30％,and the drug resistance rate to tigecycline was 19.84％.CONCLUSIONS The total incidence of SSI shows a downward trend in the 53 hospitals of Suzhou area.The S.aureus is the major species of pathogens,and some of the pathogens show high drug resistance rates.

Objective To explore the distribution of healthcare-associated infection(HAI)and direct economic burden in neurosurgical patients based on disease diagnosis-related grouping(DRG),providing data support for in-fection prevention and control.Methods Clinical data of neurosurgical patients in a hospital from January to Decem-ber 2023 were retrospectively investigated,the average length of hospital stay and average hospitalization expense of HAI and non-HAI groups of the subgroups of DRG were analyzed.Results A total of 102 cases of HAI occurred among 2 180 neurosurgical patients,with HAI incidence being 4.68％.The main infection sites were lower respira-tory tract and organ space,accounting for 53.92％and 25.49％respectively.HAI patients distributed in 16 DRG subgroups,out of which AH 19 subgroup(invasive ventilator support≥96 hours or extracorporeal membrane oxy-genation[ECMO]or total artificial heart transplantation)had the highest incidence(58.82％),followed by BC19 subgroup(intracranial vascular surgery accompanied with hemorrhage diagnosis)(17.65％)and BB2A subgroup(craniotomy other than trauma,with severe or general complications and comorbidities)(12.81％).There was no statistically significant difference in resource consumption between HAI group and control group of AH19 group(all P＞0.05).HAI in BB2A group increased the average length of hospital stay and average hospitalization expense by 5.00 days and 34 600 Yuan,respectively.HAI in BC19 group increased the average length of hospital stay and ave-rage hospitalization expense by 8.50 days and 42 800 Yuan,respectively.Lower respiratory tract infection had a significant impact on resource consumption,while organ space infection only increased length of hospital stay of pa-tients.Conclusion Analysis of incidence of HAI and resource consumption of major infection sites based on DRG can clarify the focus of infection prevention and control,formulate targeted intervention measures,control medical expense and improve the quality of medical services.

The efficacy of preoperative neoadjuvant chemoradiotherapy(nCRT)in locally advanced rectal cancer(LARC)is predicted using radiomic features of the target areas in radiotherapy for rectal cancer and an interpretable machine learning model.The clinical data are collected from 290 LARC patients who are divided into effective and ineffective groups based on tumor regression grade.The extracted radiomic features and clinicopathological data are used to develop prediction models.The optimal model is determined based on AUC performance evaluation,and the explanatory analysis is conducted using nomogram and decision curve.A total of 223 patients are included in the study,with 48 in the effective group.There are 156 patients in the training set(34 in the effective group)and 67 patients in the validation set(14 in the effective group).The nomogram model shows the best performance,with AUC of 0.858 in the training set and 0.844 in internal test set,and decision curve analysis demonstrated its superior net clinical benefit across most threshold ranges than other models.Combining radiomics and clinical variables,the nomogram can effectively predict nCRT outcomes and support clinical decision-making.