Objective To analyze the characteristics of weekend surgery,and explore to shorten the preoperative hospital stay and average hospital stay of patients.Method Extract actual data on the number of discharged surgical patients and length of hospital stay,and use the Questionnaire Star to investigate the recognition of weekend surgeries by medical staff.Using chi square test and independent sample rank sum test,compare the differences in patients and surgical characteristics between weekend surgery and non weekend surgery,and analyze the influencing factors of surgical physicians using binary logistic regression model.Result The median length of hospital stay(3.0 days)and preoperative hospital stay(0.5 days)was lower than that of non weekend surgery patients(5.0,1.5 days);The proportion of fourth grade surgeries on weekends(28.9％)was lower than that of non weekend surgeries(37.0％);The consultation rate(10.74％)was lower than that of non weekend surgeries(17.0％);The proportion of daytime pilot surgeries(30.7％)was higher than that of non weekend surgeries(20.4％).The factors with the highest recognition among medical staff for conducting weekend surgeries were:improving patient satisfaction(84.7％)and reducing preoperative waiting risks(84.4％).The lowest factors were family support(45.5％)and multi departmental assistance and cooperation(58.8％).Conclusion Weekend surgery effectively shortens the average preoperative and average hospitalization days.Move the hospitalization consultation required for comorbidities management and preoperative examinations to the outpatient department.Mobilize the coordination and supporting resources of various departments within the hospital,and organically integrate various surgical methods such as weekend surgery and day surgery to improve the efficiency of medical operation.

Objective To evaluate the dosimetric impact of interfractional bladder fullness variation in volumetric modulated arc therapy for cervical cancer using artificial intelligence-assisted cone-beam CT(CBCT)image segmentation,and propose an imaging-based quantitative assessment criterion for bladder fullness,providing an objective basis for assessing bladder filling status during clinical treatment.Methods Fifty patients receiving volumetric modulated arc therapy for cervical cancer were selected.The criterion for determining bladder fullness was as follow:if the bladder longitudinal diameter measured on the CBCT mid-sagittal plane was greater than half of the bladder longitudinal diameter measured on the localizable CT,it was defined as≥50%bladder fullness;otherwise,it was defined as<50%bladder fullness.Based on this criterion,two CBCT images were selected for each patient(representing fractions with≥50%and<50%fullness,respectively).Borui auto-contouring system was applied to re-contour the target areas and organs at risk,followed by dose recalculation.Results Compared with≥50%bladder fullness group,<50%bladder fullness group had significantly increased bladder V40,and small bowel Dmax,Dmean,V55,V45,V40(P<0.05),indicating that during interfractional radiotherapy,a CBCT-measured bladder longitudinal diameter less than half of the bladder longitudinal diameter measured on the localizable CT could serve as a predictor for significantly increased radiation dose to the bladder and small bowel.Correlation analysis revealed that bladder volume change showed a positive correlation with bladder Dmax change(R=0.45),a significant negative correlation with bladder V30(R=-0.37),and negative correlations with small bowel Dmax,Dmean,V55,V45,V40(R=-0.31,-0.41,-0.39,-0.49,-0.61).The correlation results indicate that increasing bladder fullness could reduce the radiation dose to the bladder and small bowel.Conclusion Artificial intelligence-assisted segmentation confirms that in interfractional radiotherapy for cervical cancer,when the CBCT-measured bladder longitudinal diameter is less than half of the longitudinal diameter measured on the localizable CT,there is a significant increase in radiation dose to OAR.Maintaining an ideal state of bladder fullness contributes to reducing the radiation dose to the bladder and small bowel.It is crucial to provide patients with adequate bladder management education before treatment and implement strict bladder volume management strategies during treatment fractions.

Objective:To explore the potential categories and influencing factors of medication compliance in patients with cardiometabolic multimorbidity, and provide a reference for formulating targeted intervention measures.Methods:A cross-sectional study design was adopted. From March to October 2024, the patients with cardiometabolic multimorbidity in the First Hospital Affiliated with Hunan Normal University (Hunan Provincial People′s Hospital) were selected by convenience sampling method as research objects. Data were collected using a general information questionnaire, Medication Adherence Rating Scale (MARS), Perceived Social Support Scale (PSSS), and Medication Literacy Questionnaire. The latent class analysis was used to explore the characteristics and classifications of medication compliance in cardiometabolic multimorbidity, and unordered multivariate Logistic regression was used to analyze the influencing factors of different latent classes.Results:A total of 421 subjects were included, consisting of 291 males and 130 females, aged (64.28±9.74) years old. The overall medication adherence score was 6.00 (5.00, 8.00) points, which could be divided into four categories: overall good adherence group (24.47%, 103/421), subjective perception-poor adherence group (15.91%, 67/421), forgetfulness-poor adherence group (37.53%, 158/421), and overall poor adherence group (22.09%, 93/421). The results showed that when taking the overall good adherence group as a reference, the inability to obtain pharmaceutical information from social media, medication literacy scores, social support scores were the influencing factors for the subjective perception-poor adherence group ( OR=4.210, 0.516, 0.733, all P<0.05). Occupational characteristics (employees in public institutions or government-affiliated institutions), age, social support scores were the influencing factors for the forgetfulness-poor adherence group( OR=0.173, 1.155, 0.781, all P<0.05). Occupational characteristics (employees in public institutions or government-affiliated institutions), failure to receive medication guidance from medical staff, medication literacy scores and social support scores were the influencing factors for the overall poor adherence group( OR values were 0.136-5.275, all P<0.05). When taking the overall poor adherence group as a reference, failure to receive medication guidance from medical staff and medication literacy scores were the influencing factors for the subjective perception-poor adherence group ( OR=0.310, 1.752, both P<0.05). Failure to receive medication guidance from medical staff, age, medication literacy scores and social support scores were the influencing factors for the forgetfulness-poor adherence group ( OR values were 0.315-2.554, all P<0.05). Conclusions:There is significant heterogeneity in medication adherence among patients with cardiometabolic multimorbidity. Healthcare professionals should consider individual characteristics in clinical practice and provide targeted, precise interventions to improve adherence in different patient categories.

Objective:To summarize the current status and research hotspots in volume management among patients with heart failure, and to predict future research trends.Methods:Literature related to volume management in heart failure patients published between January 1, 2004 and August 1, 2024 was retrieved from the China National Knowledge Infrastructure and Web of Science Core Collection databases. CiteSpace software was used to perform visual analysis of publication volume, authors, institutions, countries, and keywords.Results:A total of 5 008 articles were retrieved, of which 145 were Chinese and 202 were English publications. The overall publication trend showed a steady increase over the past two decades. The most prolific author was Fudim (7 publications), the leading institution was Mayo Clinic (14 publications), and the country with the highest output was the United States (91 publications). Keyword co-occurrence, clustering, and burst detection analyses revealed that current research hotspots in both Chinese and English literature mainly focus on the management and control of volume overload, exploration of nursing strategies, and patient self-management and home-based rehabilitation. Emerging trends include out-of-hospital volume overload control and intelligent volume management technologies.Conclusions:Research on volume management in heart failure patients is evolving toward diversification and integration. Clinical interventions and standardized guidelines have gained increasing attention. Home-based volume management and overload control continue to be key areas of interest. In the future, the integration of artificial intelligence and the development of individualized home self-management programs will likely become important directions to improve the quality of life in patients with heart failure.

Objective To evaluate the dosimetric impact of interfractional bladder fullness variation in volumetric modulated arc therapy for cervical cancer using artificial intelligence-assisted cone-beam CT(CBCT)image segmentation,and propose an imaging-based quantitative assessment criterion for bladder fullness,providing an objective basis for assessing bladder filling status during clinical treatment.Methods Fifty patients receiving volumetric modulated arc therapy for cervical cancer were selected.The criterion for determining bladder fullness was as follow:if the bladder longitudinal diameter measured on the CBCT mid-sagittal plane was greater than half of the bladder longitudinal diameter measured on the localizable CT,it was defined as≥50%bladder fullness;otherwise,it was defined as<50%bladder fullness.Based on this criterion,two CBCT images were selected for each patient(representing fractions with≥50%and<50%fullness,respectively).Borui auto-contouring system was applied to re-contour the target areas and organs at risk,followed by dose recalculation.Results Compared with≥50%bladder fullness group,<50%bladder fullness group had significantly increased bladder V40,and small bowel Dmax,Dmean,V55,V45,V40(P<0.05),indicating that during interfractional radiotherapy,a CBCT-measured bladder longitudinal diameter less than half of the bladder longitudinal diameter measured on the localizable CT could serve as a predictor for significantly increased radiation dose to the bladder and small bowel.Correlation analysis revealed that bladder volume change showed a positive correlation with bladder Dmax change(R=0.45),a significant negative correlation with bladder V30(R=-0.37),and negative correlations with small bowel Dmax,Dmean,V55,V45,V40(R=-0.31,-0.41,-0.39,-0.49,-0.61).The correlation results indicate that increasing bladder fullness could reduce the radiation dose to the bladder and small bowel.Conclusion Artificial intelligence-assisted segmentation confirms that in interfractional radiotherapy for cervical cancer,when the CBCT-measured bladder longitudinal diameter is less than half of the longitudinal diameter measured on the localizable CT,there is a significant increase in radiation dose to OAR.Maintaining an ideal state of bladder fullness contributes to reducing the radiation dose to the bladder and small bowel.It is crucial to provide patients with adequate bladder management education before treatment and implement strict bladder volume management strategies during treatment fractions.

Objective To analyze the characteristics of weekend surgery,and explore to shorten the preoperative hospital stay and average hospital stay of patients.Method Extract actual data on the number of discharged surgical patients and length of hospital stay,and use the Questionnaire Star to investigate the recognition of weekend surgeries by medical staff.Using chi square test and independent sample rank sum test,compare the differences in patients and surgical characteristics between weekend surgery and non weekend surgery,and analyze the influencing factors of surgical physicians using binary logistic regression model.Result The median length of hospital stay(3.0 days)and preoperative hospital stay(0.5 days)was lower than that of non weekend surgery patients(5.0,1.5 days);The proportion of fourth grade surgeries on weekends(28.9％)was lower than that of non weekend surgeries(37.0％);The consultation rate(10.74％)was lower than that of non weekend surgeries(17.0％);The proportion of daytime pilot surgeries(30.7％)was higher than that of non weekend surgeries(20.4％).The factors with the highest recognition among medical staff for conducting weekend surgeries were:improving patient satisfaction(84.7％)and reducing preoperative waiting risks(84.4％).The lowest factors were family support(45.5％)and multi departmental assistance and cooperation(58.8％).Conclusion Weekend surgery effectively shortens the average preoperative and average hospitalization days.Move the hospitalization consultation required for comorbidities management and preoperative examinations to the outpatient department.Mobilize the coordination and supporting resources of various departments within the hospital,and organically integrate various surgical methods such as weekend surgery and day surgery to improve the efficiency of medical operation.

Objective:To explore the potential categories and influencing factors of medication compliance in patients with cardiometabolic multimorbidity, and provide a reference for formulating targeted intervention measures.Methods:A cross-sectional study design was adopted. From March to October 2024, the patients with cardiometabolic multimorbidity in the First Hospital Affiliated with Hunan Normal University (Hunan Provincial People′s Hospital) were selected by convenience sampling method as research objects. Data were collected using a general information questionnaire, Medication Adherence Rating Scale (MARS), Perceived Social Support Scale (PSSS), and Medication Literacy Questionnaire. The latent class analysis was used to explore the characteristics and classifications of medication compliance in cardiometabolic multimorbidity, and unordered multivariate Logistic regression was used to analyze the influencing factors of different latent classes.Results:A total of 421 subjects were included, consisting of 291 males and 130 females, aged (64.28±9.74) years old. The overall medication adherence score was 6.00 (5.00, 8.00) points, which could be divided into four categories: overall good adherence group (24.47%, 103/421), subjective perception-poor adherence group (15.91%, 67/421), forgetfulness-poor adherence group (37.53%, 158/421), and overall poor adherence group (22.09%, 93/421). The results showed that when taking the overall good adherence group as a reference, the inability to obtain pharmaceutical information from social media, medication literacy scores, social support scores were the influencing factors for the subjective perception-poor adherence group ( OR=4.210, 0.516, 0.733, all P<0.05). Occupational characteristics (employees in public institutions or government-affiliated institutions), age, social support scores were the influencing factors for the forgetfulness-poor adherence group( OR=0.173, 1.155, 0.781, all P<0.05). Occupational characteristics (employees in public institutions or government-affiliated institutions), failure to receive medication guidance from medical staff, medication literacy scores and social support scores were the influencing factors for the overall poor adherence group( OR values were 0.136-5.275, all P<0.05). When taking the overall poor adherence group as a reference, failure to receive medication guidance from medical staff and medication literacy scores were the influencing factors for the subjective perception-poor adherence group ( OR=0.310, 1.752, both P<0.05). Failure to receive medication guidance from medical staff, age, medication literacy scores and social support scores were the influencing factors for the forgetfulness-poor adherence group ( OR values were 0.315-2.554, all P<0.05). Conclusions:There is significant heterogeneity in medication adherence among patients with cardiometabolic multimorbidity. Healthcare professionals should consider individual characteristics in clinical practice and provide targeted, precise interventions to improve adherence in different patient categories.

Objective:To summarize the current status and research hotspots in volume management among patients with heart failure, and to predict future research trends.Methods:Literature related to volume management in heart failure patients published between January 1, 2004 and August 1, 2024 was retrieved from the China National Knowledge Infrastructure and Web of Science Core Collection databases. CiteSpace software was used to perform visual analysis of publication volume, authors, institutions, countries, and keywords.Results:A total of 5 008 articles were retrieved, of which 145 were Chinese and 202 were English publications. The overall publication trend showed a steady increase over the past two decades. The most prolific author was Fudim (7 publications), the leading institution was Mayo Clinic (14 publications), and the country with the highest output was the United States (91 publications). Keyword co-occurrence, clustering, and burst detection analyses revealed that current research hotspots in both Chinese and English literature mainly focus on the management and control of volume overload, exploration of nursing strategies, and patient self-management and home-based rehabilitation. Emerging trends include out-of-hospital volume overload control and intelligent volume management technologies.Conclusions:Research on volume management in heart failure patients is evolving toward diversification and integration. Clinical interventions and standardized guidelines have gained increasing attention. Home-based volume management and overload control continue to be key areas of interest. In the future, the integration of artificial intelligence and the development of individualized home self-management programs will likely become important directions to improve the quality of life in patients with heart failure.

Objective To investigate the number, distribution, and types of radiation of non-medical radiation institutions in Hebei Province, China, and to explore the current radiation protection in the employing units and occupational health management of radiation workers in 2022. Methods A questionnaire survey was conducted in the non-medical institutions engaged in nuclear technology application in Hebei Province, and different types of employing units were selected to monitor the radioactivity level in the workplace. Results A total of 681 non-medical institutions engaged in radiation technology application completed the survey, covering all cities with subordinate districts in the province, including 1605 radioactive devices, 2960 active devices, 45 non-uranium metal mines, and 14 non-sealed workplaces. A total of 8617 radiation workers were surveyed, with a personal dose monitoring rate of 70.9%, a radiation protection training rate of 61.1%, and an occupational health examination rate for radiation workers of 59.3%. A total of 614 radiation protection monitoring instruments were provided, with a personal protective equipment allocation rate of 51.1% and a personal dose alarm device allocation rate of 51.8%. The radiation occupational hazardous factor testing was completed for 54 workplaces, and the results were all qualified. Conclusion There are still significant deficiencies in personal dose monitoring in the radiation work units in non-medical institutions and occupational health examination in the radiation work units in our province. The health administrative departments should strengthen health supervision and law enforcement, enhance radiation protection and skill training for employers, and more effectively control the impact of radiation hazards on personnel health.

Objective: To investigate the current status of screen exposure among preschool children in Shanghai and its association with family screen environment, so as to provide a scientific basis for family screen management. Methods: Using a convenient sampling method, a total of 349 preschool children aged 4-6 years were selected from 36 kindergarten classes in Xuhui District and Pudong New Area in Shanghai during April to June in 2023. Demographic characteristics and family screen environment were surveyed through an online questionnaire. Screen exposure of children was assessed using a diary method, with parents recording the activities over a 7day period. Multiple Logistic regression analysis was employed to identify factors influencing childrens screen content. Results: The average daily screen exposure time for children was (61.2±40.2) minutes, with an average of (12.4±17.6) minutes spent on educational screen content, 80.8% predominantly watched noneducational screen content. The percentages of time spent on educational screen content for 4yearold boys, 4yearold girls, 5yearold boys, 5yearold girls, 6yearold boys, and 6yearold girls were 20.1%, 14.7%, 21.3%, 21.9%, 20.6%, and 26.9%, respectively. Multivariate Logistic regression showed that children aged 5yearold (OR=0.49, 95%CI=0.25-0.96) and 6yearold (OR=0.45, 95%CI=0.21-0.95) were negatively associated with more noneducational screen content (P<0.05). However, occasional (OR=2.02, 95%CI=1.09-3.75) and sometimes (OR=4.50, 95%CI=1.70-11.90) using electronic devices to calm young child when crying, as well as children using electronic devices without adult supervision (OR=1.81, 95%CI=1.01-3.24) were positively associated with more noneducational screen content (P<0.05). Conclusions Preschool children in Shanghai exhibit high exposure to noneducational screen content, and family screen environment and parentchild interaction are associated with noneducational screen exposure. Strategies for family screen management should be developed to regulate childrens screen exposure behaviors, allowing electronic devices to play a positive role in their developmental process.