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 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 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 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 evaluate the feasibility, safety, and effectiveness of a novel edge-to-edge mitral valve repair system (the NovoClasp system) in patients with severe mitral regurgitation.Methods::In this prospective, single-arm, first-in-human study conducted at Beijing Anzhen Hospital, data were collected from patients undergoing transcatheter edge-to-edge repair using the NovoClasp system. The study candidates were patients exhibiting a mitral regurgitation severity of 3+ or more and were at high-risk or contraindicated for surgical intervention. Technical success and device success according to the Mitral Valve Academic Research Consortium definitions were used as primary outcomes. Other safety and efficacy outcomes were prospectively assessed at device implantation, discharge, and 30 d, 6 months, and 12 months post-procedure.Results::Between October 1, 2021, and January 31, 2022, 11 patients were treated for moderate-to-severe (grade 3+) or severe (grade 4+) mitral regurgitation using the NovoClasp system. All patients had a baseline New York Heart Association functional class of III-IV, with 7/11 exhibiting complex mitral valve disease. All patients achieved the primary endpoints of technical and device success, with a post-operative 30-d mitral regurgitation grade reduction to 2+ or lower, which was maintained at 12 months. One patient had minor bleeding and hematoma at the access site before discharge, and 2 patients were readmitted due to fast atrial fibrillation within 12 months post-discharge. No additional cases of death, adverse cerebral or cardiovascular events, or device-related complications was observed during the follow-up.Conclusion::This study suggested the potential feasibility and safety of the NovoClasp system, showing a promising technical and device success rate, along with a decrease in mitral regurgitation severity. A further pivotal study is needed to assess the procedural and long-term outcomes.

Objective::To evaluate the feasibility, safety, and effectiveness of a novel edge-to-edge mitral valve repair system (the NovoClasp system) in patients with severe mitral regurgitation.Methods::In this prospective, single-arm, first-in-human study conducted at Beijing Anzhen Hospital, data were collected from patients undergoing transcatheter edge-to-edge repair using the NovoClasp system. The study candidates were patients exhibiting a mitral regurgitation severity of 3+ or more and were at high-risk or contraindicated for surgical intervention. Technical success and device success according to the Mitral Valve Academic Research Consortium definitions were used as primary outcomes. Other safety and efficacy outcomes were prospectively assessed at device implantation, discharge, and 30 d, 6 months, and 12 months post-procedure.Results::Between October 1, 2021, and January 31, 2022, 11 patients were treated for moderate-to-severe (grade 3+) or severe (grade 4+) mitral regurgitation using the NovoClasp system. All patients had a baseline New York Heart Association functional class of III-IV, with 7/11 exhibiting complex mitral valve disease. All patients achieved the primary endpoints of technical and device success, with a post-operative 30-d mitral regurgitation grade reduction to 2+ or lower, which was maintained at 12 months. One patient had minor bleeding and hematoma at the access site before discharge, and 2 patients were readmitted due to fast atrial fibrillation within 12 months post-discharge. No additional cases of death, adverse cerebral or cardiovascular events, or device-related complications was observed during the follow-up.Conclusion::This study suggested the potential feasibility and safety of the NovoClasp system, showing a promising technical and device success rate, along with a decrease in mitral regurgitation severity. A further pivotal study is needed to assess the procedural and long-term outcomes.