Objective To explore the predictive value of maximum standardized uptake value(SUVmax)and mean standardized uptake value(SUVmean)parameters in 18F-prostate specific membrane antigen-1007 positron emission tomography/computed tomography(18F-PSMA-1007 PET/CT)for the diagnosis and disease progression of prostate cancer(PCa).Methods Eighty patients with suspected PCa who underwent 18F-PSMA-1007 PET/CT examination in the hospital were selected and divided into the PCa group(49 cases)and the non-PCa group(31 cases)according to the biopsy pathological results.The 18F-PSMA-1007 PET/CT parameters were collected in the two groups of patients at admission,including SUVmax and SUVmean.The prostate specific antigen(PSA)and prostate cancer histological grade(GLEASON)score were also collected in patients of the PCa group at admission and 3 months after admission.The diagnostic efficiency of 18F-PSMA-1007 PET/CT parameters on PCa was analyzed by receiver operating characteristic(ROC)curve.The correlation between 18F-PSMA-1007 PET/CT parameters of patients in the PCa group at admission and PSA,GLEASON score was analyzed by Pearson method.Results The SUVmax and SUVmean in the PCa group were higher than those in the non-PCa group(P＜0.05).ROC curve analysis showed that the areas under the curves(AUCs)of SUVmax and SUVmean were 0.887 and 0.843 respectively,the sensitivities were 80.65%and 83.87%,and the specificities were 87.76%and 73.47%respectively.The PSA and GLEASON score were lower 3 months after admission than those at admission in the PCa group(P＜0.05).Pearson correlation analysis showed that the SUVmax and SUVmean of patients in the PCa group at admission were positively correlated with PSA and GLEASON score at admission and 3 months after admission(P＜0.05).Conclusion SUVmax and SUVmean parameters of 18F-PSMA-1007 PET/CT have high predictive value for the diagnosis and disease progression of PCa.

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 predictive value of maximum standardized uptake value(SUVmax)and mean standardized uptake value(SUVmean)parameters in 18F-prostate specific membrane antigen-1007 positron emission tomography/computed tomography(18F-PSMA-1007 PET/CT)for the diagnosis and disease progression of prostate cancer(PCa).Methods Eighty patients with suspected PCa who underwent 18F-PSMA-1007 PET/CT examination in the hospital were selected and divided into the PCa group(49 cases)and the non-PCa group(31 cases)according to the biopsy pathological results.The 18F-PSMA-1007 PET/CT parameters were collected in the two groups of patients at admission,including SUVmax and SUVmean.The prostate specific antigen(PSA)and prostate cancer histological grade(GLEASON)score were also collected in patients of the PCa group at admission and 3 months after admission.The diagnostic efficiency of 18F-PSMA-1007 PET/CT parameters on PCa was analyzed by receiver operating characteristic(ROC)curve.The correlation between 18F-PSMA-1007 PET/CT parameters of patients in the PCa group at admission and PSA,GLEASON score was analyzed by Pearson method.Results The SUVmax and SUVmean in the PCa group were higher than those in the non-PCa group(P＜0.05).ROC curve analysis showed that the areas under the curves(AUCs)of SUVmax and SUVmean were 0.887 and 0.843 respectively,the sensitivities were 80.65%and 83.87%,and the specificities were 87.76%and 73.47%respectively.The PSA and GLEASON score were lower 3 months after admission than those at admission in the PCa group(P＜0.05).Pearson correlation analysis showed that the SUVmax and SUVmean of patients in the PCa group at admission were positively correlated with PSA and GLEASON score at admission and 3 months after admission(P＜0.05).Conclusion SUVmax and SUVmean parameters of 18F-PSMA-1007 PET/CT have high predictive value for the diagnosis and disease progression of PCa.

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.