Objective: To explore the association between the triglyceride-glucose-frailty index and the risk of diabetes mellitus among middle-aged and elderly population, so as to provide the evidence for diabetes mellitus risk screening and management among middle-aged and elderly population. Methods: Based on data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018, middle-aged and elderly individuals aged ≥45 years without diabetes mellitus at baseline were selected as study participants. Demographic characteristics, lifestyles, and laboratory test data were collected. The triglyceride-glucose index was calculated using triglyceride and fasting blood glucose levels, and the frailty index was derived from a 29-item health deficit accumulation model. The triglyceride-glucose-frailty index was obtained by multiplying the two indices, and participants were divided into four groups according to quartiles. Association between the triglyceride-glucose-frailty index and diabetes mellitus incidence risk was analyzed using a multivariable Cox proportional hazards regression model, and the dose-response relationship was assessed using a restricted cubic spline model. Results: A total of 5 246 participants were included, including 2 364 males (45.06%) and 2 882 females (54.94%). The mean age was (58.38±8.78) years. The median of the triglyceride-glucose-frailty index was 0.78 (interquartile range, 1.13). By 2018, 452 diabetes mellitus cases were identified, with a cumulative incidence of 8.62%. Multivariable Cox proportional hazards regression analysis showed that, after adjusting for demographic characteristics, lifestyle factors, and biochemical indicators, each one-standard-deviation increase of the triglyceride-glucose-frailty index was associated with a 37.5% higher risk of diabetes mellitus incidence (HR=1.375, 95%CI: 1.278-1.479). Compared with the Q1 group, the risk increased by 50.8% (HR=1.508, 95%CI: 1.072-2.123), 91.3% (HR=1.913, 95%CI: 1.380-2.651) and 241.6% (HR=3.416, 95%CI: 2.499-4.671) in the Q2, Q3 and Q4 groups, respectively, presenting an upward trend (Pfor trend <0.05). Restricted cubic spline analysis showed a non-linear relationship between the triglyceride-glucose-frailty index and diabetes mellitus incidence risk (P<0.05). Conclusion The triglyceride-glucose-frailty index was positively associated with diabetes mellitus risk among middle-aged and elderly population, and a nonlinear dose-response relationship was observed between the two.

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 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 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 review the scope of related factors that affect the elderly′s participation in digital health intervention, and to provide a certain reference for the application and development of smart elderly technology.Methods:Based on the scope review guidelines issued by the Joanna Briggs Institute in Australia in 2019, the inclusion and exclusion criteria were determined according to the PCCS principles. Chinese and English literatures were searched in PubMed, Cochrane Library, JBI, CINAHL, Web of Science, Scopus, CNKI, Wanfang database and Chinese biomedical literature database. The search time limit was from the establishment of the database to November 30, 2021. Two researchers independently read, and used EndNoteX9 and Excel tables to extract relevant data from the literature for summary and analysis.Results:Totally 20 articles were selected, including 2 mixed studies, 10 cross-sectional studies, 6 qualitative studies, and 2 quasi-experimental studies. Relevant factors affecting the participation of the elderly in digital health interventions involved the developers, users and the user himself of digital health intervention systems, including the degree of system integration of system development, the degree of autonomy of the elderly, the credibility and accessibility of system equipment and ease of use; the degree of compatibility of equipment in the process of use, the degree of digital infrastructure configuration, the degree of Internet penetration, the availability and reliability of health information resources, the degree of training and education, the degree of communication with the elderly in the process of participation, financial payment, etc.; the four inherent factors of the elderly included the cost of technology use, technical anxiety, privacy and safety, and health needs.Conclusions:The elderly, medical staff, developers and other stakeholders should jointly participate in decision-making on the development and management of the digital health intervention system for the elderly, especially by inviting and empowering the elderly , and improve the training and feedback of the system application and use process, accelerate the popularization and promotion of technical resources, and increase social capital and financial payment incentives to reduce the burden on the elderly and the medical system.

OBJECTIVE: To investigate the pathology characteristics of congenital preauricular fistula with infection, in order to reduce the recurrence rate after surgery and improve operative technique. METHOD: Twenty-five patients diagnosed as congenital preauricular fistula with infection were analyzed. There were 14 patients in infection history group, 9 in infective stage group, and 2 in recurrence group respectively. The whole piece of fistula and scar tissue was completely excised during operation. The specimens were observed by naked eye and serial tissue sections were analyzed. RESULT: (1) Macroscopically, in infection history group, initial morphology can be maintained near the fistula orifice, but the distal tissue was dark red scar tissue. In infective stage group, the distal tissue of the specimens was granulation tissue and cicatricial tissue. The granulation tissue was crisp and bright red. In recurrence group, multicystic lesions with severe edema was observed, with a classical dumb-bell appearence. (2) Microscopically, in infection history group and recurrence group, we can see that the distal fistula tissue was discontinuous and was separated by scar tissue. In infective stage group, we can find neo-angiogenesis and infiltration of plasma cells, lymphocytes, neutrophil between interrupted fistula tissues. (3) All patients were followed up for 6-12 month, without recurrence. CONCLUSION The fistula tissue of congenital preauricular fistula with infection was divided by the scar tissue, and they did not communicate with each other. Complete delineation of fistula is hardly achieved by methylene blue staining. Radical excision of the fistula and scar tissue may help to avoid leaving viable squamous epithelial remnants and reduce the recurrence rate.
Adolescent ; Adult ; Child ; Craniofacial Abnormalities ; pathology ; Female ; Follow-Up Studies ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Young Adult

Objective To compare the replacement time of normal and anti-reflux disposable drainage bag for the risk of infection in patients with biliary T-tube drainage, and to explore the most suitable frequency which patients can get the most benefits.Methods Totals of 144 patients with routine T-tube drainage and the negative culture results of biliary bile were randomly divided into three groups by random number table method. Group A and group B used ordinary disposable drainage bag, while group A changed it every day and group B changed it once a week.Group C used the disposable anti-reflux drainage bag and replaced it once a week.The extraction of bile from drainage bag was used to do the bacteriological monitoring and the results were compared among the three groups.Results There was no significant difference in the bacterial culture among the three groups at the 5th day and 10th day after the drainage (χ2 =0.51, 1.64, respectively;P >0.05).The replacement frequency of the three groups were statistically significant (F=1 379.17,P<0.01).The cost of changing drainage bag in three groups had statistically significant difference ( F =229.19, P <0.01 ). Conclusions Patients with biliary T-tube, who use the ordinary disposable bags and change it weekly have similar infection rate as the anti-reflux drainage bag, what’ s more, it can reduce the costs of patients and the workload of nurses.