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 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 investigate the characteristics of multidrug-resistant organisms(MDROs)infections in the patients of intensive care units(ICUs)so as to provide supportive data for precise prevention and control of in-fections.METHODS From Jan.2016 to Dec.2023,the case-time incidence of hospital-associated MDROs infec-tions,constituent ratios,infection sites and characteristics of drug resistance were observed and compared among the patients from 5 different ICUs of the First Affiliated Hospital of Suzhou University by means of real-time sur-veillance system of hospital-associated infection.RESULTS Among the ICU patients,there were 1322 case-times of hospital-associated infections with MDROs,and the case-time incidence rate was 4.67％,which varied in the ICUs.The patients with lower respiratory tract infections accounted for 66.51％,the patients with bloodstream infections 14.53％,the patients with urinary tract infections 10.78％.The distribution of infection sites,distribu-tion of pathogens and etiological spectrum of infection sites varied according to the ICUs.In general,the percenta-ges of carbapenem-resistant Klebsiella pneumoniae(CRKP)and carbapenem-resistant Acinetobacter baumannii(CRAB)infections were highest,which were 35.63％(471/1322)and 38.28％(506/1322),respectively.The drug resistance rates of the CRKP strains to polymyxin B and ceftazidime-avibactam were low,and the drug re-sistance rate to tigecycline was 38.44％.The drug resistance rates of the CRAB strains to polymyxin B and tigecy-cline were 10.00％and 21.64％,respectively.The carbapenem-resistant Pseudomonas aeruginosa(CRPA)strains showed high sensitivity to most of the antibiotics.The drug resistance rates of the methicillin-resistant Staphylococcus aureus(MRSA)strains to tetracycline,levofloxacin,gentamicin,moxifloxacin and ciprofloxacin were high.CONCLUSION It is necessary for the hospital to reasonably use antibiotics based on the result of sur-veillance of MDROs in the ICUs and take targeted prevention measures for the infections.

OBJECTIVE To investigate the current status and risk factors of carbapenem-resistant gram-negative or-ganisms(CRO)infections in neurosurgical ICU patients,and to construct and validate their prediction models.METHODS Clinical data and active screening microbiological results of 113 patients admitted to the Neurosurgical Intensive Care Unit(ICU)of The First Affiliated Hospital of Soochow University between Jul.2023 and Jan.2024 were retrospectively collected,and the patients were divided into a CRO-infected group(n=28)and a non-CRO-infected group(n=85).Predictive variables were screened using LASSO regression and logistic regression.Risk prediction models were constructed using random forest(RF)and logistic regression,the performance of the mod-el was evaluated by analyzing the area under the receiver operating characteristic(ROC)curve(AUC),calibration curves,and decision curves,and internal validation was performed using the bootstrap resampling method.RESULTS Among 113 neurosurgical ICU patients,28 cases developed CRO infections,with an infection rate of 24.78％.The highest infection rate was observed in lower respiratory tract infection,with 17 cases(15.04％).The predominant CRO pathogens were carbapenem-resistant Klebsiella pneumoniae(CRKP)and carbapenem-re-sistant Acinetobacter baumannii(CRAB),accounting for 50.00％and 42.86％of cases respectively.The AUC values for the RF prediction model and nomogram prediction modeling groups were 0.881 and 0.787 respectively,with Brier scores of 0.114 and 0.146,and threshold probabilities of net benefit ranging from 10％to 97％and 12％to 62％respectively.The RF prediction model exhibited superior discrimination,calibration,and clinical u-tility.The RF prediction model demonstrated that days of combined use of meropenem and vancomycin,GCS score,intestinal colonization,and hospitalization history were important predictors for CRO infections.CONCLUSION The prediction model for CRO infections in neurosurgical ICU patients established based on random forest algorithm has good predictive performance,and can be intervened with preventive and control measures for important predictive factors.

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.

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 investigate the characteristics of multidrug-resistant organisms(MDROs)infections in the patients of intensive care units(ICUs)so as to provide supportive data for precise prevention and control of in-fections.METHODS From Jan.2016 to Dec.2023,the case-time incidence of hospital-associated MDROs infec-tions,constituent ratios,infection sites and characteristics of drug resistance were observed and compared among the patients from 5 different ICUs of the First Affiliated Hospital of Suzhou University by means of real-time sur-veillance system of hospital-associated infection.RESULTS Among the ICU patients,there were 1322 case-times of hospital-associated infections with MDROs,and the case-time incidence rate was 4.67％,which varied in the ICUs.The patients with lower respiratory tract infections accounted for 66.51％,the patients with bloodstream infections 14.53％,the patients with urinary tract infections 10.78％.The distribution of infection sites,distribu-tion of pathogens and etiological spectrum of infection sites varied according to the ICUs.In general,the percenta-ges of carbapenem-resistant Klebsiella pneumoniae(CRKP)and carbapenem-resistant Acinetobacter baumannii(CRAB)infections were highest,which were 35.63％(471/1322)and 38.28％(506/1322),respectively.The drug resistance rates of the CRKP strains to polymyxin B and ceftazidime-avibactam were low,and the drug re-sistance rate to tigecycline was 38.44％.The drug resistance rates of the CRAB strains to polymyxin B and tigecy-cline were 10.00％and 21.64％,respectively.The carbapenem-resistant Pseudomonas aeruginosa(CRPA)strains showed high sensitivity to most of the antibiotics.The drug resistance rates of the methicillin-resistant Staphylococcus aureus(MRSA)strains to tetracycline,levofloxacin,gentamicin,moxifloxacin and ciprofloxacin were high.CONCLUSION It is necessary for the hospital to reasonably use antibiotics based on the result of sur-veillance of MDROs in the ICUs and take targeted prevention measures for the infections.

OBJECTIVE To investigate the current status and risk factors of carbapenem-resistant gram-negative or-ganisms(CRO)infections in neurosurgical ICU patients,and to construct and validate their prediction models.METHODS Clinical data and active screening microbiological results of 113 patients admitted to the Neurosurgical Intensive Care Unit(ICU)of The First Affiliated Hospital of Soochow University between Jul.2023 and Jan.2024 were retrospectively collected,and the patients were divided into a CRO-infected group(n=28)and a non-CRO-infected group(n=85).Predictive variables were screened using LASSO regression and logistic regression.Risk prediction models were constructed using random forest(RF)and logistic regression,the performance of the mod-el was evaluated by analyzing the area under the receiver operating characteristic(ROC)curve(AUC),calibration curves,and decision curves,and internal validation was performed using the bootstrap resampling method.RESULTS Among 113 neurosurgical ICU patients,28 cases developed CRO infections,with an infection rate of 24.78％.The highest infection rate was observed in lower respiratory tract infection,with 17 cases(15.04％).The predominant CRO pathogens were carbapenem-resistant Klebsiella pneumoniae(CRKP)and carbapenem-re-sistant Acinetobacter baumannii(CRAB),accounting for 50.00％and 42.86％of cases respectively.The AUC values for the RF prediction model and nomogram prediction modeling groups were 0.881 and 0.787 respectively,with Brier scores of 0.114 and 0.146,and threshold probabilities of net benefit ranging from 10％to 97％and 12％to 62％respectively.The RF prediction model exhibited superior discrimination,calibration,and clinical u-tility.The RF prediction model demonstrated that days of combined use of meropenem and vancomycin,GCS score,intestinal colonization,and hospitalization history were important predictors for CRO infections.CONCLUSION The prediction model for CRO infections in neurosurgical ICU patients established based on random forest algorithm has good predictive performance,and can be intervened with preventive and control measures for important predictive factors.

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.