Objective:To describe the epidemiological characteristics of 22 common respiratory patho-gens in patients with pneumonia in Yinzhou,Ningbo,from January 1,2015 to December 21,2024.Methods:The test data of 22 common respiratory pathogens in patients diagnosed with pneumonia or lung infection in the Yinzhou Regional Health Information Platform from January 1,2015 to December 21,2024 were collected.The positive cases,positive rates,and positive proportions were calculated.The epidemiological characteristics were described by the year,sex,age group,season,and coronavirus disease 2019(COVID-19)pandemic period.Results:A total of 77 531 pneumonia patients were included,with 492 696 respiratory pathogen tests performed.The number of respiratory pathogen tests and positive cases of pneumonia patients in Yinzhou showed an upward trend.In the study,34.63％of the pneumo-nia patients tested positive for at least one pathogen,and the pathogen non-detection rate decreased from 79.44％in 2015 to 58.38％in 2024.The overall pathogen positive rate was 9.12％,which decreased during the COVID-19 pandemic and had not returned to the historical level after the COVID-19 pande-mic.The positive rate was highest in children aged 6-17 years(13.99％),and lowest in the elderly over 60 years(4.16％).The top 3 highest number of positive cases was Mycoplasma pneumoniae,influenza A virus,and influenza B virus;the top 3 highest positive rates of pathogen tests were Mycoplasma pneu-moniae(25.26％),rhinovirus(12.02％),and Bordetella pertussis(11.66％).The pathogen spectrum proportion in men was similar to that in women,only showing a higher ratio of Mycobacterium tuberculosis and a slightly lower ratio of Mycoplasma pneumoniae(P＜0.001).Mycoplasma pneumoniae,respiratory syncytial virus,and rhinovirus infections were more common in children,while influenza virus,Mycobac-terium tuberculosis,and Streptococcus pyogenes infections were more common in adults and the elderly(P＜0.001).Influenza virus and human metapneumovirus infections were more common in winter,rhi-novirus and Bordetella pertussis infections were more common in spring,and Mycoplasma pneumoniae in-fections were relatively more common in fall(P＜0.001).After the COVID-19 pandemic,the propor-tions of rhinovirus,respiratory syncytial virus,and human metapneumovirus infections in the pneumonia patients increased signi-ficantly,reaching 7.53％,4.26％,and 2.25％,respectively,while the propor-tions of influenza B virus and Mycobacterium tuberculosis infections decreased to 4.14％and 2.80％,re-spectively(P＜0.001).Conclusion:In the past decade,the scale of respiratory pathogen infection in the pneumonia population in Yinzhou had expanded significantly,and there were differences in distribu-tion by the year,gender,age group,and season.The respiratory pathogen spectrum in pneumonia pa-tients after the COVID-19 pandemic had a trend of diversification.

Objective To observe the value of global and contextual dual attention U-Net model for segmenting thoracic and lumbar vertebrae in spinal sagittal X-ray images.Methods Totally 600 spinal sagittal X-ray images of 600 patients with adolescent idiopathic scoliosis were retrospectively enrolled.The images were preprocessed,and T4-T12 and L1-L5 were manually annotated as reference standards.The global attention refinement(GAR)module and attention-based atrous spatial pyramid pooling(A-ASPP)module were added to U-Net model,fivefold cross validation method was used for training and validation,and its performance for segmenting sagittal X-ray images was analyzed,and compared with pyramid scene parsing network(PSPNet),visual geometry group(VGG)-UNet and DeepLabv3+.Results The precision,sensitivity and Dice similarity coefficient of global and contextual dual attention U-Net model for segmenting thoracic and lumbar vertebrae in spinal sagittal X-ray images was 90.58％,89.51％,and 90.20％,respectively,which were superior to PSPNet,VGG-UNet and DeepLabv3+.The loss function and mean intersection over union curves showed that it converged quickly and had good generalization ability.Conclusion The global and contextual dual attention U-Net model could effectively segment thoracic and lumbar vertebrae in spinal sagittal X-ray images.

OBJECTIVE To explore the effect of hydrogen peroxide disinfectant on terminal disinfection in wards of medical institutions.METHODS The surfaces of highly frequent contact objects of the wards of the First Affilia-ted Hospital of Nanchang University from which the public health center patients were discharged between Apr.2024 and Jun.2024 were respectively disinfected with 0.5％(low)and 5％(high)concentrations of hydrogen peroxide disinfecting wipes,totally 180 samples were randomly collected before and after the disinfection,and the pathogens were detected.The air of the wards from which the public health center patients were discharged be-tween Jul.2024 and Aug.2024 were disinfected with hydrogen peroxide dry mist disinfection device,and 90 sam-ples were respectively collected before and after the disinfection.Geobacillus stearothermophilus was used as the biological indicator and placed at various points within the air-disinfected wards to evaluate the disinfection level.The environmental sampling results and distribution of bacteria were observed and compared.RESULTS The qualified rates of disinfection of the object surfaces were 95.56％(86/90)and 98.89％(89/90)respectively for the low and high concentratioins of hydrogen peroxide disinfecting wipes,and there was no significant difference in the disinfection effect.Totally 120 strains of pathogens were isolated from unqualified samples before the disinfection,among which gram-negative bacteria(69.17％)were dominant,and the isolation rate of multidrug-resistant or-ganisms was 22.50％(27/120);only 1 strain of carbapenem-resistant Acinetobacter baumannii was isolated after the disinfection.The qualified rate of disinfection of air in the wards was 96.00％by 7.5％hydrogen peroxide dry mist disinfection device,the average bacterial colony counts in the air were 2 CFU/(5 min·vsl)after the dis-infection,and the killing rate of Geobacillus stearothermophilus was 100.00％by the air disinfection.CONCLUSION The hydrogen peroxide disinfectant can meet the requirement for terminal disinfection of the wards of the medical institutions,and it is portable and highly efficient.

In order to meet the demand of the high-end medical market,some public hospitals have explored the establishment of specialized diagnosis and treatment centers,providing high-end customized medical services at special registration prices.The establishment of the International Medical Center is an effective supplement to public welfare healthcare and an important measure for public hospitals to innovate and enhance themselves under the concept of value based healthcare.It conducts pioneering research and exploration on the cost-benefit accounting of international medical centers in public hospitals,and compares it with the accounting situation of conventional departments.By analyzing and calculating cost-effectiveness,medical indicators,and DRG data,the key points and difficulties of lean operation in international medical centers are explored.Innovative methods and ideas for platform fine accounting are proposed,which have guiding significance for its development direction.

Objective:To analyze the current situation and core issues of medical escort services in Shanghai through a two-side (supply and demand) survey, so as to provide references for formulating targeted strategies for the standardized management of this industry.Methods:From June to August 2024, a questionnaire survey on awareness of escort services was conducted among patients at 16 tertiary public hospitals in Shanghai. The survey covered patients′ basic information, their needs, concerns, and expectations regarding escort services. Concurrently, a specialized questionnaire was administered to trainees enrolled in Shanghai Open University′s " elderly care escort service provider" program. This survey covered the companions′ basic profiles, types of service recipients, relevant qualifications, training programs, and standardized service procedures. Data were organized and analyzed by using SPSS 26.0 software.Results:The survey on awareness of patient escort services yielded 855 valid responses, achieving a 92.13% response rate. Among these 855 patients, the primary demand for escort services was queue management for examinations (515 cases, 71.47%), followed by assistance with registration/payment/medication pickup (528 cases, 61.74%). 587 patients (68.66%) expressed willingness to use the service. The main concerns included lack of professional expertise among attendants (538 cases, 62.92%), trust issues (494 cases, 57.78%), and fee concerns (456 cases, 53.33%). Expectations for service supervision primarily focused on service quality and safety (618 cases, 72.28%) and pricing standards (609 cases, 71.23%). The specialized survey on medical escort services yielded 194 valid questionnaires, achieving a 100.00% response rate. Among the 194 medical escort service providers, 82.5% (160 individuals) were full-time practitioners, 31.96% (62 individuals) held relevant qualification certificates, and 72.68% (144 individuals) had participated in related training programs. Regarding standardized services, 74.74% (145 individuals) of medical escorts obtained patient information prior to service delivery, 56.70% (110 individuals) signed agreements with users, and 67.01% (130 individuals) maintained records of their medical escort services.Conclusions:Shanghai′s medical escort services had achieved some success, yet faced challenges including high patient demand coupled with low trust, insufficient certification and training for escorts, and an urgent need to improve service standardization. It is recommended that medical institutions further strengthen their primary role in managing escort services. By enhancing top-level design, establishing standardized training and certification mechanisms, implementing comprehensive quality monitoring and credit evaluation systems, and other measures, they could elevate the professional competence of practitioners, reinforce patient safety safeguards, and promote the high-quality, standardized development of escort services.

Objective To explore the distribution characteristics and influencing factors of nasal colonized bacteria of healthcare workers(HCWs)in pediatric intensive care unit(PICU).Methods A cross-sectional study was con-ducted.Nasal swab specimens from 104 HCWs in the PICU of a hospital were collected for bacterial culture and an-timicrobial susceptibility testing.According to the identification and antimicrobial susceptibility testing results of strains,distribution characteristics of colonized bacteria was analyzed.Basic information of studied subjects were collected through questionnaire survey,and risk factors for colonized bacterial infection were conducted using logis-tic regression analysis.Results Among 104 specimens,colonized bacteria were detected from 66 specimens,with an overall detection rate of 63.46％.Gram-positive bacteria was mainly Staphylococcus aureus,with a detection rate of 34.62％(n=36),out of which methicillin-resistant Staphylococcus aureus(MRSA)accounted for 2.88％(n=3).Gram-negative bacteria was mainly Klebsiella spp.,with a detection rate of 21.15％(n=22).Multiva-riate logistic regression analysis showed that HCWs with junior professional titles(OR=11.400,95％CI:2.329-55.801,P=0.003)was an independent risk factor for Staphylococcus aureus colonization,and male(OR=4.260,95％CI:1.160-15.653,P=0.029)was an independent risk factor for Klebsiella spp.colonization.Conclusion Nasal cavity of HCWs in PICU has a high detection rate of colonized bacteria,with Staphylococcus aureus and Klebsiella spp.being the major colonized bacteria.

Objective To explore the distribution characteristics and influencing factors of nasal colonized bacteria of healthcare workers(HCWs)in pediatric intensive care unit(PICU).Methods A cross-sectional study was con-ducted.Nasal swab specimens from 104 HCWs in the PICU of a hospital were collected for bacterial culture and an-timicrobial susceptibility testing.According to the identification and antimicrobial susceptibility testing results of strains,distribution characteristics of colonized bacteria was analyzed.Basic information of studied subjects were collected through questionnaire survey,and risk factors for colonized bacterial infection were conducted using logis-tic regression analysis.Results Among 104 specimens,colonized bacteria were detected from 66 specimens,with an overall detection rate of 63.46％.Gram-positive bacteria was mainly Staphylococcus aureus,with a detection rate of 34.62％(n=36),out of which methicillin-resistant Staphylococcus aureus(MRSA)accounted for 2.88％(n=3).Gram-negative bacteria was mainly Klebsiella spp.,with a detection rate of 21.15％(n=22).Multiva-riate logistic regression analysis showed that HCWs with junior professional titles(OR=11.400,95％CI:2.329-55.801,P=0.003)was an independent risk factor for Staphylococcus aureus colonization,and male(OR=4.260,95％CI:1.160-15.653,P=0.029)was an independent risk factor for Klebsiella spp.colonization.Conclusion Nasal cavity of HCWs in PICU has a high detection rate of colonized bacteria,with Staphylococcus aureus and Klebsiella spp.being the major colonized bacteria.

In order to meet the demand of the high-end medical market,some public hospitals have explored the establishment of specialized diagnosis and treatment centers,providing high-end customized medical services at special registration prices.The establishment of the International Medical Center is an effective supplement to public welfare healthcare and an important measure for public hospitals to innovate and enhance themselves under the concept of value based healthcare.It conducts pioneering research and exploration on the cost-benefit accounting of international medical centers in public hospitals,and compares it with the accounting situation of conventional departments.By analyzing and calculating cost-effectiveness,medical indicators,and DRG data,the key points and difficulties of lean operation in international medical centers are explored.Innovative methods and ideas for platform fine accounting are proposed,which have guiding significance for its development direction.

Objective:To describe the epidemiological characteristics of 22 common respiratory patho-gens in patients with pneumonia in Yinzhou,Ningbo,from January 1,2015 to December 21,2024.Methods:The test data of 22 common respiratory pathogens in patients diagnosed with pneumonia or lung infection in the Yinzhou Regional Health Information Platform from January 1,2015 to December 21,2024 were collected.The positive cases,positive rates,and positive proportions were calculated.The epidemiological characteristics were described by the year,sex,age group,season,and coronavirus disease 2019(COVID-19)pandemic period.Results:A total of 77 531 pneumonia patients were included,with 492 696 respiratory pathogen tests performed.The number of respiratory pathogen tests and positive cases of pneumonia patients in Yinzhou showed an upward trend.In the study,34.63％of the pneumo-nia patients tested positive for at least one pathogen,and the pathogen non-detection rate decreased from 79.44％in 2015 to 58.38％in 2024.The overall pathogen positive rate was 9.12％,which decreased during the COVID-19 pandemic and had not returned to the historical level after the COVID-19 pande-mic.The positive rate was highest in children aged 6-17 years(13.99％),and lowest in the elderly over 60 years(4.16％).The top 3 highest number of positive cases was Mycoplasma pneumoniae,influenza A virus,and influenza B virus;the top 3 highest positive rates of pathogen tests were Mycoplasma pneu-moniae(25.26％),rhinovirus(12.02％),and Bordetella pertussis(11.66％).The pathogen spectrum proportion in men was similar to that in women,only showing a higher ratio of Mycobacterium tuberculosis and a slightly lower ratio of Mycoplasma pneumoniae(P＜0.001).Mycoplasma pneumoniae,respiratory syncytial virus,and rhinovirus infections were more common in children,while influenza virus,Mycobac-terium tuberculosis,and Streptococcus pyogenes infections were more common in adults and the elderly(P＜0.001).Influenza virus and human metapneumovirus infections were more common in winter,rhi-novirus and Bordetella pertussis infections were more common in spring,and Mycoplasma pneumoniae in-fections were relatively more common in fall(P＜0.001).After the COVID-19 pandemic,the propor-tions of rhinovirus,respiratory syncytial virus,and human metapneumovirus infections in the pneumonia patients increased signi-ficantly,reaching 7.53％,4.26％,and 2.25％,respectively,while the propor-tions of influenza B virus and Mycobacterium tuberculosis infections decreased to 4.14％and 2.80％,re-spectively(P＜0.001).Conclusion:In the past decade,the scale of respiratory pathogen infection in the pneumonia population in Yinzhou had expanded significantly,and there were differences in distribu-tion by the year,gender,age group,and season.The respiratory pathogen spectrum in pneumonia pa-tients after the COVID-19 pandemic had a trend of diversification.

Objective To observe the value of global and contextual dual attention U-Net model for segmenting thoracic and lumbar vertebrae in spinal sagittal X-ray images.Methods Totally 600 spinal sagittal X-ray images of 600 patients with adolescent idiopathic scoliosis were retrospectively enrolled.The images were preprocessed,and T4-T12 and L1-L5 were manually annotated as reference standards.The global attention refinement(GAR)module and attention-based atrous spatial pyramid pooling(A-ASPP)module were added to U-Net model,fivefold cross validation method was used for training and validation,and its performance for segmenting sagittal X-ray images was analyzed,and compared with pyramid scene parsing network(PSPNet),visual geometry group(VGG)-UNet and DeepLabv3+.Results The precision,sensitivity and Dice similarity coefficient of global and contextual dual attention U-Net model for segmenting thoracic and lumbar vertebrae in spinal sagittal X-ray images was 90.58％,89.51％,and 90.20％,respectively,which were superior to PSPNet,VGG-UNet and DeepLabv3+.The loss function and mean intersection over union curves showed that it converged quickly and had good generalization ability.Conclusion The global and contextual dual attention U-Net model could effectively segment thoracic and lumbar vertebrae in spinal sagittal X-ray images.