OBJECTIVE To investigate the epidemiological characteristics of hospital-associated infections caused by multidrug-resistant organisms(MDROs)among the burn wound patients so as to provide bases for taking tar-geted control measures.METHODS A systematic search was conducted in the worldwide database for nosocomial outbreaks,PubMed and CNKI databases so as to summarize and analyze the data regarding to outbreaks of MDROs hospital-associated infections among burn wound patients.RESULTS A total of 61 incidents of MDROs hospital-associated infections outbreaks among the burn wound patients were included,involving 2 293 patients from 21 countries and regions,50(81.97％)of which were reported for the infection sites or colonization sites in-volving burn wound,12(19.67％)involving the respiratory tract,10(16.39％)involving the bloodstream infec-tions.Methicillin-resistant Staphylococcus aureus(28 incidents,45.90％)was dominant among the pathogens causing the infections,followed by multidrug-resistant Acinetobacter baumannii(17 incidents,27.87％)and multidrug-resistant Pseudomonas aureus(9 incidents,14.75％).52 incidents(82.25％)of outbreaks were reported the contact as the major transmission mode.The suspected sources of the outbreaks included the patients(37 incidents,28.46％),health care workers(30 incidents,23.08％),ward environments(28 incidents,21.54％),medical equipments(19 incidents,30.56％),drainage systems(6 incidents,4.62％).The major pre-vention and control measures included environmental cleaning and disinfection,screening of colonization in patients and health care workers,isolation of patients with infections and hand hygiene;8 incidents were taken the measure of closing the ward.CONCLUSIONS The outbreaks of MDROs infections in the burn wound patients are mostly associated with the high frequently contact environments,medical equipments and hand hygiene of health care workers.In view of the peculiarities of the burn wound patients,it is feasible to take the targeted measures based on the summarized prevention and control combinations for MDROs so as to prevent the outbreak of hospital-asso-ciated infections.

OBJECTIVE To understand the current management status of the special campaign for enhancing the pathogen detection rate before antimicrobial therapy in hospitalized patients in China,analyze identified issues dur-ing implementation,and propose improvement suggestions.METHOD A questionnaire survey was conducted to collect data from medical institutions participating in the special campaign within the region from May to Jul.2024,covering aspects such as quality control management,coordination mechanisms,data sources,indicator connotations and existing issues.RESULTS Variations were observed among medical institutions in the manage-ment of pathogen detection rates,primarily reflected in inconsistent usage of detection rate indicators,varying im-plementation levels of quality control measures and differences in multi-departmental participation.Additionally,discrepancies in data sources,statistical methods and interpretations of indicator connotations limited the compara-bility of data.CONCLUSIONS To address these issues,improvement measures such as strengthening informatiza-tion construction,standardizing indicator statistical methods and enhancing multi-departmental coordination mech-anisms should be implemented.These efforts will provide a scientific basis for the implementation of special cam-paign and robust support for the rational use of antimicrobial agents.

Objective:To analyze the risk factors of in-hospital mortality in patients with femoral neck fracture and establish a prediction model for in-hospital mortality.Methods:From 2014 to 2023, a total of 4,028,102 hospitalized patients from six directly affiliated hospitals and two co-constructed affiliated hospitals of Peking University were retrospectively analyzed. Among them, 4,744 patients were hospitalized with femoral neck fractures, including 1,486 males and 3,258 females, aged 74±13.3 years (range, 19-103 years). Gender, age, length of hospital stay, hospitalization costs, preoperative comorbidities, treatment methods, anesthesia methods, and in-hospital mortality were extracted from the medical records. According to the presence or absence of in-hospital death, the patients were divided into death group and survival group. The differences in general data and clinical indicators between the two groups were compared, and the indicators with statistically significant differences were included in binary logistic regression analysis to screen the risk factors for in-hospital death in patients with femoral neck fracture. The receiver operating characteristic (ROC) curve for predicting in-hospital mortality of femoral neck fracture was drawn, and the area under the curve (AUC) was calculated.Results:There were 30 cases in the death group and 4,714 cases in the survival group, with a mortality rate of 0.63%. Among the dead patients, 20 had undergone hip replacement, and 10 had received non-surgical treatment. In the death group, age ( t=7.524, P<0.001), length of hospital stay ( t=3.802, P<0.001), hospitalisation cost ( t=3.961, P<0.001), rate of non-surgical treatment ( P<0.001), anaesthesia modality ( P=0.002), dementia ( P=0.045), malignant tumour ( P<0.001), renal insufficiency (χ 2=27.901, P<0.001), hypertension (χ 2=4.155, P=0.042), cerebral infarction (χ 2=8.271, P=0.004), urinary infections ( P=0.043), electrolyte disorders (χ 2=16.660, P<0.001), post-cholecystectomy ( P=0.070), abnormal liver function ( P=0.015), schizophrenia ( P=0.062), myocardial infarction (χ 2=19.057, P<0.001), diabetes mellitus with end-organ damage ( P=0.036), congestive heart failure (χ 2=93.122, P<0.001), and chronic obstructive pulmonary disease (χ 2=27.714, P<0.001) were greater than in the survival group, and the differences were statistically significance ( P<0.10). Bicategory logistic regression analysis showed age ( OR=1.08, P=0.008), non-surgical treatment ( OR=2.87, P=0.017), combined malignancy ( OR=9.35, P<0.001), renal insufficiency ( OR=4.07, P=0.004), hypertension ( OR=4.45, P=0.007), cerebral infarction ( OR=2.42, P=0.040), electrolyte disorders ( OR=4.29, P=0.009), schizophrenia ( OR=41.23, P=0.002), chronic obstructive pulmonary disease ( OR=3.84, P=0.002), and congestive heart failure ( OR=7.08, P<0.001) were the independent risk factors for in-hospital mortality of femoral neck fracture. The AUC and its 95% confidence interval (CI) for the predictive model were 0.908(0.84, 0.97), indicating excellent predictive value. Conclusion:Elderly, non-surgical treatment, malignant tumor, renal insufficiency, hypertension, cerebral infarction, electrolyte disturbance, schizophrenia, chronic obstructive pulmonary disease, congestive heart failure are associated with higher in-hospital mortality in patients with femoral neck fracture.

Objective To systematically evaluate the research progress of risk prediction models for periprosthetic joint infection(PJI)after total joint arthroplasty(TJA),analyze the limitations of current researches,and propose optimized suggestions.Methods Chinese and English databases such as PubMed,Embase,Web of Science,Co-chrane Library,SinoMed,Wanfang Database,VIP Database,and CNKI were retrieved systematically.The re-trieved period was from the establishment of each database to August 31,2024.Two researchers independently screened literatures and extracted data according to the CHARMS checklist,and the risk of bias in the included studies was evaluated by the PROBAST tool.Results A total of 14 studies were included in this study,involving 17 prediction models.The most common predictors included history of diabetes mellitus,obesity(body mass index[BMI]≥30 kg/m2),advanced age(≥65 years old),history of traumatic fracture,and prolonged operation time(≥2 hours).All of the included studies had high risks of bias,mainly study subject selection bias(such as single-center sample)and statistical analysis bias(such as unadjusted confounding factors).Conclusion Most of the cur-rently published risk prediction models for PJA after TJA have good predictive performance,however,there are sig-nificant limitations in the research design,especially in the insufficient control of bias risk.Future research needs to focus on improving methodological design,including adoption of prospective multi-center studies,definition of standardized predictive variables,and sufficient adjustment of confounding factors.

Objective:To analyze the risk factors of in-hospital mortality in patients with femoral neck fracture and establish a prediction model for in-hospital mortality.Methods:From 2014 to 2023, a total of 4,028,102 hospitalized patients from six directly affiliated hospitals and two co-constructed affiliated hospitals of Peking University were retrospectively analyzed. Among them, 4,744 patients were hospitalized with femoral neck fractures, including 1,486 males and 3,258 females, aged 74±13.3 years (range, 19-103 years). Gender, age, length of hospital stay, hospitalization costs, preoperative comorbidities, treatment methods, anesthesia methods, and in-hospital mortality were extracted from the medical records. According to the presence or absence of in-hospital death, the patients were divided into death group and survival group. The differences in general data and clinical indicators between the two groups were compared, and the indicators with statistically significant differences were included in binary logistic regression analysis to screen the risk factors for in-hospital death in patients with femoral neck fracture. The receiver operating characteristic (ROC) curve for predicting in-hospital mortality of femoral neck fracture was drawn, and the area under the curve (AUC) was calculated.Results:There were 30 cases in the death group and 4,714 cases in the survival group, with a mortality rate of 0.63%. Among the dead patients, 20 had undergone hip replacement, and 10 had received non-surgical treatment. In the death group, age ( t=7.524, P<0.001), length of hospital stay ( t=3.802, P<0.001), hospitalisation cost ( t=3.961, P<0.001), rate of non-surgical treatment ( P<0.001), anaesthesia modality ( P=0.002), dementia ( P=0.045), malignant tumour ( P<0.001), renal insufficiency (χ 2=27.901, P<0.001), hypertension (χ 2=4.155, P=0.042), cerebral infarction (χ 2=8.271, P=0.004), urinary infections ( P=0.043), electrolyte disorders (χ 2=16.660, P<0.001), post-cholecystectomy ( P=0.070), abnormal liver function ( P=0.015), schizophrenia ( P=0.062), myocardial infarction (χ 2=19.057, P<0.001), diabetes mellitus with end-organ damage ( P=0.036), congestive heart failure (χ 2=93.122, P<0.001), and chronic obstructive pulmonary disease (χ 2=27.714, P<0.001) were greater than in the survival group, and the differences were statistically significance ( P<0.10). Bicategory logistic regression analysis showed age ( OR=1.08, P=0.008), non-surgical treatment ( OR=2.87, P=0.017), combined malignancy ( OR=9.35, P<0.001), renal insufficiency ( OR=4.07, P=0.004), hypertension ( OR=4.45, P=0.007), cerebral infarction ( OR=2.42, P=0.040), electrolyte disorders ( OR=4.29, P=0.009), schizophrenia ( OR=41.23, P=0.002), chronic obstructive pulmonary disease ( OR=3.84, P=0.002), and congestive heart failure ( OR=7.08, P<0.001) were the independent risk factors for in-hospital mortality of femoral neck fracture. The AUC and its 95% confidence interval (CI) for the predictive model were 0.908(0.84, 0.97), indicating excellent predictive value. Conclusion:Elderly, non-surgical treatment, malignant tumor, renal insufficiency, hypertension, cerebral infarction, electrolyte disturbance, schizophrenia, chronic obstructive pulmonary disease, congestive heart failure are associated with higher in-hospital mortality in patients with femoral neck fracture.

OBJECTIVE To investigate the epidemiological characteristics of hospital-associated infections caused by multidrug-resistant organisms(MDROs)among the burn wound patients so as to provide bases for taking tar-geted control measures.METHODS A systematic search was conducted in the worldwide database for nosocomial outbreaks,PubMed and CNKI databases so as to summarize and analyze the data regarding to outbreaks of MDROs hospital-associated infections among burn wound patients.RESULTS A total of 61 incidents of MDROs hospital-associated infections outbreaks among the burn wound patients were included,involving 2 293 patients from 21 countries and regions,50(81.97％)of which were reported for the infection sites or colonization sites in-volving burn wound,12(19.67％)involving the respiratory tract,10(16.39％)involving the bloodstream infec-tions.Methicillin-resistant Staphylococcus aureus(28 incidents,45.90％)was dominant among the pathogens causing the infections,followed by multidrug-resistant Acinetobacter baumannii(17 incidents,27.87％)and multidrug-resistant Pseudomonas aureus(9 incidents,14.75％).52 incidents(82.25％)of outbreaks were reported the contact as the major transmission mode.The suspected sources of the outbreaks included the patients(37 incidents,28.46％),health care workers(30 incidents,23.08％),ward environments(28 incidents,21.54％),medical equipments(19 incidents,30.56％),drainage systems(6 incidents,4.62％).The major pre-vention and control measures included environmental cleaning and disinfection,screening of colonization in patients and health care workers,isolation of patients with infections and hand hygiene;8 incidents were taken the measure of closing the ward.CONCLUSIONS The outbreaks of MDROs infections in the burn wound patients are mostly associated with the high frequently contact environments,medical equipments and hand hygiene of health care workers.In view of the peculiarities of the burn wound patients,it is feasible to take the targeted measures based on the summarized prevention and control combinations for MDROs so as to prevent the outbreak of hospital-asso-ciated infections.

OBJECTIVE To understand the current management status of the special campaign for enhancing the pathogen detection rate before antimicrobial therapy in hospitalized patients in China,analyze identified issues dur-ing implementation,and propose improvement suggestions.METHOD A questionnaire survey was conducted to collect data from medical institutions participating in the special campaign within the region from May to Jul.2024,covering aspects such as quality control management,coordination mechanisms,data sources,indicator connotations and existing issues.RESULTS Variations were observed among medical institutions in the manage-ment of pathogen detection rates,primarily reflected in inconsistent usage of detection rate indicators,varying im-plementation levels of quality control measures and differences in multi-departmental participation.Additionally,discrepancies in data sources,statistical methods and interpretations of indicator connotations limited the compara-bility of data.CONCLUSIONS To address these issues,improvement measures such as strengthening informatiza-tion construction,standardizing indicator statistical methods and enhancing multi-departmental coordination mech-anisms should be implemented.These efforts will provide a scientific basis for the implementation of special cam-paign and robust support for the rational use of antimicrobial agents.

Objective To systematically evaluate the research progress of risk prediction models for periprosthetic joint infection(PJI)after total joint arthroplasty(TJA),analyze the limitations of current researches,and propose optimized suggestions.Methods Chinese and English databases such as PubMed,Embase,Web of Science,Co-chrane Library,SinoMed,Wanfang Database,VIP Database,and CNKI were retrieved systematically.The re-trieved period was from the establishment of each database to August 31,2024.Two researchers independently screened literatures and extracted data according to the CHARMS checklist,and the risk of bias in the included studies was evaluated by the PROBAST tool.Results A total of 14 studies were included in this study,involving 17 prediction models.The most common predictors included history of diabetes mellitus,obesity(body mass index[BMI]≥30 kg/m2),advanced age(≥65 years old),history of traumatic fracture,and prolonged operation time(≥2 hours).All of the included studies had high risks of bias,mainly study subject selection bias(such as single-center sample)and statistical analysis bias(such as unadjusted confounding factors).Conclusion Most of the cur-rently published risk prediction models for PJA after TJA have good predictive performance,however,there are sig-nificant limitations in the research design,especially in the insufficient control of bias risk.Future research needs to focus on improving methodological design,including adoption of prospective multi-center studies,definition of standardized predictive variables,and sufficient adjustment of confounding factors.

Objective To evaluate the quality of prediction model on healthcare-associated infections in China,so as to standardize research process and reporting methods.Methods It performed a literature search for healthcare-associated infections prediction model studies published using the following databases by the end of 2022.After independently screening the literature and cross-checking the extracted data according to the inclusion and exclusion criteria,the research team applied the prediction model risk of bias assessment tool(PROBAST)to evaluate the methodological quality,and the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis(TRIPOD)statement to evaluate the quality of study reporting.Results A total of 81 healthcare-associated infections prediction studies were identified.Their median PROBAST overall adherence were 58.11%±13.88%,median TRIPOD adherence were 56.11%±16.35%.The main methodological flaws involved participants defined,ignored complexities in data,and omitted missing data.The reporting flaws lay in the items of risk groups,sample size,and supplementary information.Conclusion There are methodological deficiencies and incomplete reporting of domestic hospital infection prediction modelling studies,which limit the reliability and applicability of the results and leave much room for improvement.

Objective To evaluate the quality of prediction model on healthcare-associated infections in China,so as to standardize research process and reporting methods.Methods It performed a literature search for healthcare-associated infections prediction model studies published using the following databases by the end of 2022.After independently screening the literature and cross-checking the extracted data according to the inclusion and exclusion criteria,the research team applied the prediction model risk of bias assessment tool(PROBAST)to evaluate the methodological quality,and the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis(TRIPOD)statement to evaluate the quality of study reporting.Results A total of 81 healthcare-associated infections prediction studies were identified.Their median PROBAST overall adherence were 58.11%±13.88%,median TRIPOD adherence were 56.11%±16.35%.The main methodological flaws involved participants defined,ignored complexities in data,and omitted missing data.The reporting flaws lay in the items of risk groups,sample size,and supplementary information.Conclusion There are methodological deficiencies and incomplete reporting of domestic hospital infection prediction modelling studies,which limit the reliability and applicability of the results and leave much room for improvement.