Objective To analyze the disease burden trend of non-rheumatic degenerative mitral valve disease (NR-DMVD) in China from 1990 to 2023 and compare it with global levels and those in the United States and India. Methods Based on the Global Burden of Disease (GBD) 2023 database, data on incidence, mortality, prevalence, and disability-adjusted life years (DALYs) for NR-DMVD were extracted. Joinpoint regression, decomposition analysis, and autoregressive integrated moving average model (ARIMA) were used to analyze trends, drivers, and project burden to 2040. Results In 2023, China's age-standardized DALY rate (2.56/100 000) and mortality rate (0.037/100 000) for NR-DMVD were significantly lower than those in the United States, India, and globally, while its age-standardized incidence rate (10.39/100 000) and prevalence rate (126.03/100 000) showed slow increases. From 1990 to 2023, the estimated annual percentage changes (EAPC) for China's age-standardized DALY rate and mortality rate were –2.11% [95%CI (–2.25%, –1.98%)] and –4.54% [95%CI (–4.92%, –4.16%)], respectively, while the incidence rate and prevalence rate continued to rise; India showed increasing trends in all burden indicators. Decomposition analysis indicated that population aging was the primary driver of the increase in DALYs and prevalence cases, while epidemiological improvement was the key factor that led to the reduction in the number of deaths. Joinpoint analysis showed that China's age-standardized DALY rate declined most rapidly between 2000 and 2013, while the age-standardized mortality rate decreased fastest between 2007 and 2013. ARIMA models projected that China's prevalence rate would continue to rise and mortality rate would continue to decline through 2040. Conclusion NR-DMVD in China exhibits a dual-track pattern of "declining mortality but rising prevalence", driven by population aging. A tiered prevention and control system focusing on the elderly and high-risk male groups is needed.

Drug addiction,also referred to as drug dependence or substance use disorder,is a chronic and recurrent brain disease.Its main characteristics are compulsive drug-seeking behavior,continued use of drugs,and a loss of control over intake.Prolonged use of addictive substances can result in both physiological and psychological dependence.When usage is ceased,individuals may experience intense discomfort,including anxiety,insomnia,nausea,vomiting,and a strong craving for the substances.Drug dependence is classified into two types:physical dependence and psychological dependence.Physical dependence describes a pathological state of adaptation that results from the repeated use of addictive substances,leading to severe withdrawal syndrome upon cessation.Psychological dependence involves a mental craving for addictive substances,which is needed to experience the specific euphoria that follows consumption.Regular or continuous use is required to sustain these euphoric effects.The mechanisms of addiction are complex and influenced by genetic,environmental,and various other factors.They involve higher-level neurological activities,such as memory,reward,and decision-making.Currently,effective treatment methods for drug addiction are insufficient.Due to the complexity of drug addiction,laboratory animal research is essential.Using animal behavioral models to simulate human drug addiction can enhance our understanding of the mechanisms of addiction.This research offers a comprehensive overview of various animal experimental models that explore both physical and psychological dependence.It includes detailed descriptions of the methods and procedures used to assess physical dependence,behavioral sensitization,conditioned place preference,drug discrimination,and self-administration experiments.Additionally,the characteristics of each experimental model are compared,and the relevance of these models is discussed,aiming to provide support for the research on addiction mechanisms and the development of therapeutic methods.

BACKGROUND: Neoadjuvant chemoradiotherapy followed by radical surgery has been a common practice for patients with locally advanced rectal cancer, but the response rate varies among patients. This study aimed to develop a ResNet-Vision Transformer based magnetic resonance imaging (MRI)-endoscopy fusion model to precisely predict treatment response and provide personalized treatment. METHODS: In this multicenter study, 366 eligible patients who had undergone neoadjuvant chemoradiotherapy followed by radical surgery at eight Chinese tertiary hospitals between January 2017 and June 2024 were recruited, with 2928 pretreatment colonic endoscopic images and 366 pelvic MRI images. An MRI-endoscopy fusion model was constructed based on the ResNet backbone and Transformer network using pretreatment MRI and endoscopic images. Treatment response was defined as good response or non-good response based on the tumor regression grade. The Delong test and the Hanley-McNeil test were utilized to compare prediction performance among different models and different subgroups, respectively. The predictive performance of the MRI-endoscopy fusion model was comprehensively validated in the test sets and was further compared to that of the single-modal MRI model and single-modal endoscopy model. RESULTS: The MRI-endoscopy fusion model demonstrated favorable prediction performance. In the internal validation set, the area under the curve (AUC) and accuracy were 0.852 (95% confidence interval [CI]: 0.744-0.940) and 0.737 (95% CI: 0.712-0.844), respectively. Moreover, the AUC and accuracy reached 0.769 (95% CI: 0.678-0.861) and 0.729 (95% CI: 0.628-0.821), respectively, in the external test set. In addition, the MRI-endoscopy fusion model outperformed the single-modal MRI model (AUC: 0.692 [95% CI: 0.609-0.783], accuracy: 0.659 [95% CI: 0.565-0.775]) and the single-modal endoscopy model (AUC: 0.720 [95% CI: 0.617-0.823], accuracy: 0.713 [95% CI: 0.612-0.809]) in the external test set. CONCLUSION The MRI-endoscopy fusion model based on ResNet-Vision Transformer achieved favorable performance in predicting treatment response to neoadjuvant chemoradiotherapy and holds tremendous potential for enabling personalized treatment regimens for locally advanced rectal cancer patients.
Humans ; Rectal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Middle Aged ; Neoadjuvant Therapy/methods* ; Aged ; Adult ; Chemoradiotherapy/methods* ; Endoscopy/methods* ; Treatment Outcome

Drug addiction,also referred to as drug dependence or substance use disorder,is a chronic and recurrent brain disease.Its main characteristics are compulsive drug-seeking behavior,continued use of drugs,and a loss of control over intake.Prolonged use of addictive substances can result in both physiological and psychological dependence.When usage is ceased,individuals may experience intense discomfort,including anxiety,insomnia,nausea,vomiting,and a strong craving for the substances.Drug dependence is classified into two types:physical dependence and psychological dependence.Physical dependence describes a pathological state of adaptation that results from the repeated use of addictive substances,leading to severe withdrawal syndrome upon cessation.Psychological dependence involves a mental craving for addictive substances,which is needed to experience the specific euphoria that follows consumption.Regular or continuous use is required to sustain these euphoric effects.The mechanisms of addiction are complex and influenced by genetic,environmental,and various other factors.They involve higher-level neurological activities,such as memory,reward,and decision-making.Currently,effective treatment methods for drug addiction are insufficient.Due to the complexity of drug addiction,laboratory animal research is essential.Using animal behavioral models to simulate human drug addiction can enhance our understanding of the mechanisms of addiction.This research offers a comprehensive overview of various animal experimental models that explore both physical and psychological dependence.It includes detailed descriptions of the methods and procedures used to assess physical dependence,behavioral sensitization,conditioned place preference,drug discrimination,and self-administration experiments.Additionally,the characteristics of each experimental model are compared,and the relevance of these models is discussed,aiming to provide support for the research on addiction mechanisms and the development of therapeutic methods.

Objective:To develop a prognostic prediction model for patients with colorectal cancer based on a peripheral blood cell composite score (PBCS) system.Methods:This retrospective observational study included patients who had primary colorectal cancer without distant metastasis, who did not undergo radiotherapy or chemotherapy before surgery, who did not receive leukocyte or platelet-raising therapy within 1 month before surgery, and whose postoperative pathology confirmed colorectal adenocarcinoma with complete tumor resection. Patients with severe anemia, infection, or hematologic diseases before surgery, as well as those with severe heart, lung, or other important organ diseases or concurrent malignant tumors, were excluded. In total, 1021 patients with colorectal cancer who underwent surgical treatment in the Department of Gastrointestinal Surgery of the Fourth Hospital of Hebei Medical University from April 2018 to April 2020 were retrospectively included as the training set (766 patients) and the internal validation set (255 patients). Additionally, using the same criteria, 215 patients with colorectal cancer who underwent surgical treatment in another treatment group from March 2015 to December 2020 were selected as the external validation set. The "surv_cutpoint" function in R software was used to analyze the optimal cut-off values of neutrophils, lymphocytes, and platelets, and a PBCS system was established based on the optimal cut-off values. The scoring rules of the PBCS system were as follows: Neutrophils and platelets below the optimal cut-off value = 1 point, otherwise 0 points; Lymphocytes above the optimal cut-off value = 1 point, otherwise 0 points. The scores of the three cell types were added together to obtain the PBCS. Univariate and multivariate Cox regression analyses were performed to explore the correlation between patients' clinicopathological features and prognosis, and a nomogram was constructed based on the Cox regression analysis to predict patients' prognosis. The accuracy of the nomogram prediction model was validated using the C-index, calibration curve, and decision curve analysis.Results:The optimal cut-off values for neutrophils, lymphocytes, and platelets were 4.40×10 9/L, 1.41×10 9/L, and 355×10 9/L, respectively. The patients were divided into high and low groups according to the optimal cut-off values of these cells. Survival curve analysis showed that a high lymphocyte count (training set: P=0.042, internal validation: P=0.010, external validation: P=0.029), low neutrophil count (training set: P=0.035, internal validation: P=0.001, external validation: P=0.024), and low platelet count (training set: P=0.041, internal validation: P=0.030, external validation: P=0.024) were associated with prolonged overall survival (OS), with statistically significant differences in all cases. Survival analysis of different PBCS groups showed that patients with a high PBCS had longer OS than those with a low PBCS ( P<0.05). Univariate and multivariate Cox regression analysis results showed that aspirin use history, vascular thrombus, neural invasion, CA19-9, N stage, operation time, M stage, and PBCS were independent factors affecting OS (all P<0.05). The PBCS was also an independent factor affecting disease-specific survival ( P<0.05), but not progression-free survival ( P>0.05). The above independent risk or protective factors were included in R software to construct a nomogram for predicting OS. The C-index (0.873), calibration curve, and decision curve analysis (threshold probability: 0.0%–75.2%) all indicated that the nomogram prediction model had good predictive performance for OS. Conclusion:This study demonstrates that the PBCS constructed based on preoperative peripheral blood levels of neutrophils, lymphocytes, and platelets is an independent factor associated with the prognosis of patients with colorectal cancer. The nomogram model constructed based on this score system exhibits good predictive efficacy for the prognosis of these patients.

Objective:To develop a prognostic prediction model for patients with colorectal cancer based on a peripheral blood cell composite score (PBCS) system.Methods:This retrospective observational study included patients who had primary colorectal cancer without distant metastasis, who did not undergo radiotherapy or chemotherapy before surgery, who did not receive leukocyte or platelet-raising therapy within 1 month before surgery, and whose postoperative pathology confirmed colorectal adenocarcinoma with complete tumor resection. Patients with severe anemia, infection, or hematologic diseases before surgery, as well as those with severe heart, lung, or other important organ diseases or concurrent malignant tumors, were excluded. In total, 1021 patients with colorectal cancer who underwent surgical treatment in the Department of Gastrointestinal Surgery of the Fourth Hospital of Hebei Medical University from April 2018 to April 2020 were retrospectively included as the training set (766 patients) and the internal validation set (255 patients). Additionally, using the same criteria, 215 patients with colorectal cancer who underwent surgical treatment in another treatment group from March 2015 to December 2020 were selected as the external validation set. The "surv_cutpoint" function in R software was used to analyze the optimal cut-off values of neutrophils, lymphocytes, and platelets, and a PBCS system was established based on the optimal cut-off values. The scoring rules of the PBCS system were as follows: Neutrophils and platelets below the optimal cut-off value = 1 point, otherwise 0 points; Lymphocytes above the optimal cut-off value = 1 point, otherwise 0 points. The scores of the three cell types were added together to obtain the PBCS. Univariate and multivariate Cox regression analyses were performed to explore the correlation between patients' clinicopathological features and prognosis, and a nomogram was constructed based on the Cox regression analysis to predict patients' prognosis. The accuracy of the nomogram prediction model was validated using the C-index, calibration curve, and decision curve analysis.Results:The optimal cut-off values for neutrophils, lymphocytes, and platelets were 4.40×10 9/L, 1.41×10 9/L, and 355×10 9/L, respectively. The patients were divided into high and low groups according to the optimal cut-off values of these cells. Survival curve analysis showed that a high lymphocyte count (training set: P=0.042, internal validation: P=0.010, external validation: P=0.029), low neutrophil count (training set: P=0.035, internal validation: P=0.001, external validation: P=0.024), and low platelet count (training set: P=0.041, internal validation: P=0.030, external validation: P=0.024) were associated with prolonged overall survival (OS), with statistically significant differences in all cases. Survival analysis of different PBCS groups showed that patients with a high PBCS had longer OS than those with a low PBCS ( P<0.05). Univariate and multivariate Cox regression analysis results showed that aspirin use history, vascular thrombus, neural invasion, CA19-9, N stage, operation time, M stage, and PBCS were independent factors affecting OS (all P<0.05). The PBCS was also an independent factor affecting disease-specific survival ( P<0.05), but not progression-free survival ( P>0.05). The above independent risk or protective factors were included in R software to construct a nomogram for predicting OS. The C-index (0.873), calibration curve, and decision curve analysis (threshold probability: 0.0%–75.2%) all indicated that the nomogram prediction model had good predictive performance for OS. Conclusion:This study demonstrates that the PBCS constructed based on preoperative peripheral blood levels of neutrophils, lymphocytes, and platelets is an independent factor associated with the prognosis of patients with colorectal cancer. The nomogram model constructed based on this score system exhibits good predictive efficacy for the prognosis of these patients.

Objective:To examine the willingness of HIV non-occupational post-exposure prophylaxis (nPEP) among MSM and factors related were also assessed.Methods:The respondent-driven sampling method was used to recruit MSM for a face-to-face interview with a structured questionnaire,the sample size was estimated at 600 subjects. Demographic data, sexual behavior, awareness, and willingness regarding nPEP were collected. The factors related to willingness to nPEP were assessed using complex logistic regression.Results:A total of 14 rounds were recruited and 608 MSM subjects were included in the study. The average age was (41.6±11.0) years. 55.4% (95% CI: 49.4%-59.4%) were aware of nPEP, and 4.5% (95% CI: 2.9%-6.2%) have used its. 35.9% (95% CI: 31.1%-40.7%) expressed interest in taking nPEP if needed. Among the reasons for not being willing to take nPEP, 68.9% (244/354) were never heard of nPEP, and 24.6% (87/354) were a fluke mentality. The multivariate logistic analysis results showed that the willingness of nPEP awareness of MSM was related to the group aged 25-39 years old (a OR=1.80, 95% CI: 1.01-3.20), knowing a group of HIV prevention knowledge (a OR=2.43, 95% CI: 1.52-3.90), group of consistent condom use in anal sex in the past half of year (a OR=1.76, 95% CI: 1.11-2.79). Conclusions:The use rate of nPEP among MSM in Beijing was low, and the willingness to use in the future also needs to be improved. The training of social organizations should be strengthened to improve the role of peer education in promoting nPEP.

Objective:To understand the incidence of HIV infection, high risk behaviors and pre-exposure prophylaxis/post-exposure prophylaxis (PrEP/PEP) utilization in men who have sex with men (MSM) in Beijing.Methods:Sample size was estimated to be 1 227 persons and 207 person year respectively in the survey and the cohort by using Epi Info 7.0 software. Using convenient sampling method, MSM were recruited by using Wechat app. Questionnaire was completed online to collect the information about demographic characteristics, high risk behavior, and utilization of PrEP/PEP of the MSM. MSM collected dry blood spot (DBS) samples by themselves, and mailed the DBS samples to laboratory for HIV nucleic acid testing. Open cohort was established and those with HIV negative nucleic acid testing results were followed up. Non-conditional binary logistic regression method was used to identify the associated factors for high risk anal sex in the last month and having multiple homosexual partners in the last month.Results:A total of 1 147 MSM were recruited, and follow up for 236 person years was conducted in 956 MSM with negative HIV nucleic acid testing results. The detection rate of new HIV infection was 1.3 per 100 person-years (3/236). During the last month, the proportions of consistent condom use in anal sex and oral sex were 50.7% (238/469) and 4.9% (23/469). In the MSM, 5.9% (43/723) had sex with HIV positive partners in the last month. 9.8% (103/1 049) used PrEP, and 8.7% (91/1 049) used PEP. The proportion of consistent condom use in PrEP and PEP were 34.3% (24/70) and 72.2% (39/54) respectively. Logistic regression analysis revealed that compared with those who used no PrEP/PEP, those who used PrEP/PEP were more likely to have unprotected anal sex in the last month (a OR=3.16, 95% CI:1.45-7.18), and more likely to have multiple homosexual partners in the last month (a OR=2.64, 95% CI:1.19-6.30), and compared with those who used no Rush Popper or drugs in the last month, those who used Rush Popper or drugs in the last month were more likely to have unprotected anal sex in the last month (a OR=2.34, 95% CI:1.67-3.30), and more likely to have multiple homosexual partners (a OR=2.42,95% CI:1.76-3.33). Conclusions:It is necessary to strengthen the health education to promote condom use and introduce the harm of drug use in MSM. In PrEP and PEP services, it is still necessary to suggest consistent condom use for MSM.

Objective:To explore the status and influencing factors of participation in cardiac rehabilitation of cardiovascular nurses.Methods:This is a cross-sectional study. From January to February 2022, a total of 3 047 cardiovascular nurses in members of China Cardiovascular Health Alliance were selected as research objects by convenience sampling method. General data questionnaire and Cardiovascular Nurses Participated in the Cardiac Rehabilitation Questionnaire (CNPCRQ) were used to investigate cardiovascular nurses. Multiple linear regression analysis was used to investigate the influencing factors of participation in cardiac rehabilitation of cardiovascular nurses. A total of 3 047 questionnaires were distributed in this study, and 2 704 valid questionnaires were effectively received, with an effective recovery rate of 88.74%.Results:The total score of CNPCRQ of cardiovascular nurses was (93.23±31.58), which was at a moderate level. Multiple linear regression analysis results showed that age, education, professional title, hospital location, hospital level, position type and hospital type were the influencing factors of participation in cardiac rehabilitation of cardiovascular nurses.Conclusions:The status of participation in cardiac rehabilitation of cardiovascular nurses in China needs to be improved. Role and job content of cardiovascular nurses should be further clarified, and cardiac rehabilitation knowledge and skills training should be strengthened in the future, so as to promote the profession development of cardiac rehabilitation and improve patients' health outcomes.

Objective:To analyze the clinical characteristics of patients with acute glyphosate herbicide poisoning and the differences in the severity of poisoning.Methods:A retrospective analysis was performed on patients with acute glyphosate herbicide poisoning admitted to the First Affiliated Hospital of Zhengzhou University from January 2014 to December 2020. The general information, exposure time, poisoning dose, poisoning cause, poisoning route, clinical manifestations, laboratory examination results during hospitalization, treatment measures, hospital stays and prognosis of the patients were collected. The patients were graded according to the poisoning severity scoring standard of Chinese Expert Consensus on Diagnosis and Treatment of Acute Poisoning in 2016. The highest severity score during hospitalization was used as the final grade. According to the final grade, asymptomatic and mild patients were included in the mild group, and moderate, severe and death patients were included in the severe group. The independent sample T test or Mann-Whitney U test was used for measurement data, and χ2 test or Fisher's exact test was used for counting data. The differences of general data and clinical data between the two groups were compared. Results:According to the inclusion and exclusion criteria, 83 patients with acute glyphosate herbicide poisoning were selected as the study subjects. All patients survived, mainly mild poisoning (56.6%), with a male to female ratio of 33∶50, and an average age of 39 years. The number of poisoning cases increased yearly (the highest in 2019), and most cases occurred in spring and summer. The main cause of poisoning was suicide (71.1%), direct oral administration (83.1%) was the primary route of poisoning, and the dominating clinical manifestations were digestive symptoms (71.1%). Laboratory tests showed increased white blood cell count (WBC), neutrophil percentage (NEUT %) and D-dimer, and decreased hemoglobin and potassium. Compared with the mild group, patients in the severe group were older [(51±17) years vs. (35±19) years], had a higher proportion of suicide and direct oral administration, a longer hospital stay [8.0 (4.8, 12.0) d vs. 3.0 (2.0, 5.5) d], a higher dose of poisoning [200.0 (50.0, 200.0) mL vs. 30.0 (11.3, 57.5) mL], and higher NEUT % within 24 h of admission [(83.4±10.4) vs. (73.2±12.8)]. The increase of WBC, NEUT %, aspartate aminotransferase, prothrombin time, D-dimer and the decrease of serum potassium were more common in the severe group than the mild group, with statistical significance (all P<0.05). Conclusions:The number of patients with acute glyphosate herbicide poisoning is increasing yearly. Generally, the condition is mild and the prognosis is satisfying. The severity is more serious in the middle-aged and elderly patients andthose with direct oral administration, high toxic dose, and high NEUT % within 24 h of admission. Severe poisoning is more likely to cause changes in laboratory indicators.