OBJECTIVE To build a Tibetan-language medication service platform based on “internet+” and evaluate its effect on improving medication compliance and safety of Tibetan patients with chronic disease. METHODS Medication guidance contents of commonly used drugs in the outpatient department were summarized， translated and recorded in Tibetan-language or video to form a “text-audio-video” multi-dimensional “internet+ ” Tibetan-language medication service platform. A total of 387 Tibetan outpatients with chronic disease in our hospital after the implementation of “internet+” Tibetan-language medication service platform （from January 2024 to June 2024） in our hospital were selected as the intervention group， and 387 Tibetan outpatients before the implementation （from January 2023 to June 2023） were selected as the control group. Patients in the control group received conventional window-based Chinese-language medication services， while patients in the intervention group received both conventional window-based Chinese-language medication service and “internet+ ” Tibetan-language medication service. The medication compliance of patients was evaluated using the 12-item Medication Compliance Scale. A six-level causality assessment was conducted as the principles for analyzing adverse drug reactions （ADR） set by the National Center for ADR Monitoring. Additionally， statistics were compiled on the occurrence of ADR that were assessed as “definite”“probable” or “possible” in the causality assessment. RESULTS The proportion （31.0%） of patients with good medication compliance and compliance scores [39.0 （37.0，42.0）] of patients in the intervention group were significantly better than control group [7.0%， 21.0（19.0， 23.0）]（ P＜0.05）. There were no statistically significant differences in the incidence of various types of ADR or the overall incidence between the two groups （P＞0.05）. CONCLUSIONS The “internet+” Tibetan-language medication service platform is constructed successfully； the service can effectively improve the medication compliance of Tibetan-language patients， but its effect on improving the medication safety of patients is limited.

BACKGROUND:Nanocomposite hydrogel has great research prospects and application potential in the treatment of osteoarthritis. OBJECTIVE:To review the research progress of nanocomposite hydrogel in osteoarthritis and cartilage repair. METHODS:Databases such as CNKI and PubMed were searched.The English key words were"nanocomposite hydrogel,nanogel,osteoarthritis,cartage,physical encapsulation,electrostatic interaction,covalent crosslinking",and the Chinese key words were"nanocomposite hydrogel,nanogel,osteoarthritis,cartage,physical encapsulation,physical encapsulation,electrostatic effect,covalent cross-linking".After an initial screening of all articles based on inclusion and exclusion criteria,71 articles with high correlation were retained for review. RESULTS AND CONCLUSION:In cell or animal experiments,nanocomposite hydrogel has the effect of improving osteoarthritis.Nanocomposite hydrogel can promote cartilage repair,improve the internal environment of osteoarthritis,and achieve the therapeutic purpose of osteoarthritis by improving the mechanical environment between joints,carrying targeted drugs,and promoting the chondrogenesis of seed cells.At present,the research of nanocomposite hydrogel in osteoarthritis disease still has a huge space to play.It is expected to open up a new way for the clinical treatment of osteoarthritis by continuing to deepen the research of material preparation and actively carrying out cell and animal experiments.

Objective:To evaluate direct and indirect costs for schizophrenia,major depressive disorder(MDD)and bipolar disorder,and to compare their differences of cost composition,and to explore the drivers of the total costs.Methods:A total of 3 175 inpatients with schizophrenia,MDD,and bipolar disorder were recruited.In-patient's self-report total direct of medical costs outpatient and inpatient,out-of-pocket costs,and direct non-medical costs were regarded as direct costs.Productivity loss and other loss caused by damaging properties were defined as indirect costs.The perspectives of this study included individual and societal levels.Multivariate regression analysis was applied for detecting the factors influencing disease costs.Results:The total cost of schizophrenia was higher than those of MDD and bipolar disorder at individual and societal levels.The indirect costs of three mental disorders were higher than the direct costs,and the indirect cost ratio of bipolar disorder was higher than those of schizophre-nia and MDD.Age,gender,working condition and marital status(P＜0.05)were the important drivers of total costs.Conclusion:The economic burden of the three mental disorders is relatively heavy.Schizophrenia has heaviest disease burden,and the productivity loss due to mental disorders is the driving force of the soaring disease cost

Objective:To describe demographic,clinical and physiological characteristics,treatment between first-episode major depressive disorder(MDD)and relapse MDD,and to explore characteristics of relapse MDD.Methods:Totally 858 patients who met the diagnostic criteria for depression of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5),were included by using the Mini International Neuropsychiatric Interview(MINI),Clinician-Rated Dimensions of Psychosis Symptom Severity,and Hamilton Depression Scale etc.Among them,529(58.6％)were first-episode depression and 329(36.0％)were relapsed.The differences of demographic characteristics,clinical and physiological characteristics,treatment were compared byx2test and Kruskal-Wallis rank sum test.Multivariate logistic regression was used to explore the characteristics of MDD recur-rence.Results:Compared to first-episode MDD,relapse MDD had more comorbidity(OR=2.11,95％CI:1.00-4.44),more days out of role(OR=1.26,95％CI:1.01-1.56),more history of using psychiatric drug more than one month(OR=1.41,95％CI:1.02-1.97)and electroconvulsive therapy(OR=3.23,95％CI:1.42-7.36),and higher waist-hip ratio(OR=33.88,95％CI:2.88-399.32).Conclusion:Relapse MDD has positive as-sociation with comorbidity of mental disorders,out of role,and higher waist-hip ratio.

Objective To construct a MRI-based radiomics nomogram for predicting the Cyelin-Dependent Kinase Inhibitor 2A/B(CDKN 2A/B)homozygous deletion status in patients with isocitrate dehydrogenase(IDH)-mutant astrocytoma.Methods A total of 200 patients with IDH-mutant astrocytoma(103 CDKN 2A/B homozygous deletion and 97 CDKN 2A/B non-homozygous dele-tion)were enrolled in a training cohort(n=140)and a test cohort(n=60).A total of 1 946 features were respectively extracted in tumor edema area and tumor parenchyma area,and 3 892 features were extracted in overall tumor area.All features were extracted from T2 fluid attenuated inversion recovery(T2 FLAIR)and T1 WI contrast enhancement sequences.The t test and the least absolute shrinkage and selection operator(LASSO)model were used to select radiomics features,and a radiomics nomogram was constructed by using age,gen-der and the above radiomics features.Results The t test concluded that the overall tumor radiomics signature had the best perform-ance[area under the curve(AUC):training cohort=0.951,test cohort=0.779]and the radiomics nomogram had a good ability to pre-dict the CDKN 2A/B homozygous deletion in IDH-mutant astrocytoma.The clinical usefulness of the nomogram in predicting the CDKN 2A/B homozygous deletion was further confirmed by decision curve analysis(DCA).Conclusion The nomogram combined with age,gender,and the radiomics features provides a clinically useful approach to predict the CDKN 2A/B homozygous deletion and facilitated MRI-based clinical decision-making in patients with IDH-mutant astrocytoma.

The objective of this study is to assess the current status of vaccination against respiratory disease among the elderly aged ≥60 and analyze the factors influencing vaccination rates at both service provider and recipient levels in Zhejiang Province. Using a stratified random sampling method, a questionnaire survey was conducted from September 2022 to January 2023 among elderly people aged ≥60 in 30 townships/streets in Zhejiang Province, as well as immunization planning staff at the provincial, municipal, county/district, and township/street levels. Logistic regression models were used to analyze the factors related to vaccination among elderly people in Zhejiang Province. Based on the Zhejiang Provincial Comprehensive Management Information System for Vaccine and Vaccination, the systematic coverage rates of influenza vaccine and pneumonia vaccine for the elderly were 21.76% and 4.57%, respectively. Multivariate logistic regression analysis indicated that advanced age ( OR=1.74, 95% CI: 1.51-1.99), knowing that influenza is more severe than the common cold ( OR=1.67, 95% CI: 1.37-2.04) and having heard of the influenza vaccine ( OR=9.78, 95% CI: 7.03-13.59) were motivating factors for elderly to receive influenza vaccines. Advanced age ( OR=1.71, 95% CI: 1.43-2.06), knowing the serious consequences of pneumonia in the elderly ( OR=1.93, 95% CI: 1.47-2.55) and knowing that pneumonia vaccines can prevent pneumonia ( OR=6.36, 95% CI: 4.84-8.36) were motivating factors for elderly to receive pneumonia vaccines. Zhejiang Immunization Program staff believed that the main reasons why the elderly aged ≥60 would not be vaccinated against influenza or pneumonia were that they felt they would not get sick (55.52% and 56.35% respectively), it would not be serious if get sick (47.73% and 37.46% respectively), lacking trust in vaccine efficacy and safety (38.31% and 43.69% respectively). Vaccination rates for influenza and pneumonia vaccines among the elderly aged ≥60 in Zhejiang Province are suboptimal. Advanced age, awareness of the severity of respiratory diseases and awareness of vaccines against such diseases are related factors for elderly individuals to receive influenza and pneumonia vaccines.

The objective of this study is to assess the current status of vaccination against respiratory disease among the elderly aged ≥60 and analyze the factors influencing vaccination rates at both service provider and recipient levels in Zhejiang Province. Using a stratified random sampling method, a questionnaire survey was conducted from September 2022 to January 2023 among elderly people aged ≥60 in 30 townships/streets in Zhejiang Province, as well as immunization planning staff at the provincial, municipal, county/district, and township/street levels. Logistic regression models were used to analyze the factors related to vaccination among elderly people in Zhejiang Province. Based on the Zhejiang Provincial Comprehensive Management Information System for Vaccine and Vaccination, the systematic coverage rates of influenza vaccine and pneumonia vaccine for the elderly were 21.76% and 4.57%, respectively. Multivariate logistic regression analysis indicated that advanced age ( OR=1.74, 95% CI: 1.51-1.99), knowing that influenza is more severe than the common cold ( OR=1.67, 95% CI: 1.37-2.04) and having heard of the influenza vaccine ( OR=9.78, 95% CI: 7.03-13.59) were motivating factors for elderly to receive influenza vaccines. Advanced age ( OR=1.71, 95% CI: 1.43-2.06), knowing the serious consequences of pneumonia in the elderly ( OR=1.93, 95% CI: 1.47-2.55) and knowing that pneumonia vaccines can prevent pneumonia ( OR=6.36, 95% CI: 4.84-8.36) were motivating factors for elderly to receive pneumonia vaccines. Zhejiang Immunization Program staff believed that the main reasons why the elderly aged ≥60 would not be vaccinated against influenza or pneumonia were that they felt they would not get sick (55.52% and 56.35% respectively), it would not be serious if get sick (47.73% and 37.46% respectively), lacking trust in vaccine efficacy and safety (38.31% and 43.69% respectively). Vaccination rates for influenza and pneumonia vaccines among the elderly aged ≥60 in Zhejiang Province are suboptimal. Advanced age, awareness of the severity of respiratory diseases and awareness of vaccines against such diseases are related factors for elderly individuals to receive influenza and pneumonia vaccines.

Objective:To explore the effect of staged rehabilitation nursing in patients undergoing arthroscopic rotator cuff repair.Methods:From January 2021 to December 2022, convenience sampling was used to select 73 patients who underwent arthroscopic rotator cuff repair in the Department of Hand Surgery at Affiliated Hospital of Nantong University as participants. According to the random number table method, patients were divided into a control group ( n=36) and an observation group ( n=37). Control group received routine rehabilitation nursing, while observation group received staged rehabilitation nursing. The University of California, Los Angeles (UCLA) Shoulder Rating Scale score, American Shoulder and Elbow Surgeons (ASES) Rating Scale score, Constant-Murley Shoulder Scale score, and complications during rehabilitation were compared between two groups of patients before and six months after intervention. Results:Six months after surgery, both groups showed an increase in UCLA scores and ASES scores compared to before the intervention ( P<0.05), and the scores of observation group were higher than those of control group, with statistical differences ( P<0.05). Six months after surgery, the Constant-Murley Shoulder Scale scores for daily life and shoulder range of motion in observation group were higher than those in control group, and the differences were statistically significant ( P<0.05). During the rehabilitation period, the incidence of complications in observation group was lower than that in control group with a statistical difference ( P<0.05) . Conclusions:Staged rehabilitation nursing in patients undergoing arthroscopic rotator cuff repair shows significant effects and can effectively promote patient recovery.

Purpose To investigate the fusion model based on MRI radiomics and deep learning to predict the telomerase reverse transcriptase promoter(TERTp)mutation status in isocitrate dehydrogenase-wildtype diffuse astrocytoma.Materials and Methods A retrospective analysis of 175 patients with isocitrate dehydrogenase-wildtype diffuse astrocytoma(122 in the training group and 53 in the test group)from January 2019 to June 2021 in the First Affiliated Hospital of Chongqing Medical University.The Cancer Genome Atlas and The Cancer Imaging Archive were performed to assess TERTp mutation status.The edema and tumor regions were outlined on T1c and T2f images,deep learning model were constructed using the SE-Net model,radiomics features of different regions(edema region,tumor region and overall lesion)were extracted,and 11 features were screened by the least absolute shrinkage and selection operator to build radiomics model.Finally,the radiomics model,deep learning model and clinical model containing Visually Accessible Rembrandt Images features were combined as fusion model,and the model was evaluated using calibration curves and decision curves.Results Six predictive models were eventually built,with an area under curve(AUC)of 0.815(95%CI 0.738-0.892)and 0.645(95%CI 0.494-0.796)for the training and test groups of the clinical model;the AUC for the training and test groups of the deep learning model was 0.860(95%CI 0.798-0.922)and 0.735(95%CI 0.614-0.856);the fusion radiomics model had better predictive performance than the edema or tumor region radiomics models alone,with AUC of 0.906(95%CI 0.856-0.955)and 0.867(95%CI 0.769-0.964)in the training and test groups;the fusion model showed the best performance,with AUC of 0.964(95%CI 0.929-1.000)and 0.905(95%CI 0.818-0.991)in the training and test groups.Conclusion The clinical fusion model of radiomics combined with deep learning performed well in predicting TERTp mutation status in isocitrate dehydrogenase-wildtype diffuse astrocytoma.

Background As an environmental pollutant, 1-bromopropane (1-BP) is ubiquitous in the living environment. However, its health effects on the general population are still unclear. Objective To assess the associations between urinary 1-BP metabolite and blood routine indices in a Chinese community population. Methods A total of 3512 community residents aged 18-80 years from the baseline of the Wuhan-Zhuhai cohort were included in our study. The demographic characteristics, disease history, and lifestyles of the participants were collected through questionnaires. Height, weight, blood pressure, and other anthropometrics were collected through physical examination. Blood routine indicators were tested using an automated hematology analyzer. Urinary 1-BP metabolite N-Acetyl-S-(n-propyl)-L-cysteine (BPMA) was measured by ultra-high-performance liquid chromatography coupled with electrospray ionization tandem mass spectrometry. Generalized linear models and logistic regression models were used to assess the associations of urinary BPMA with blood routine indices and the risks of abnormal blood routine indices, respectively. Besides, stratified analysis and effect modification analysis were further conducted to investigate the effects of individual characteristics and lifestyles on the associations of urinary BPMA with blood routine indices. All models were adjusted for gender, age, and other potential confounders. Results The mean age of the study population (30.1% male) was (52.78±12.77) years. The median (P₂₅, P₇₅) level of urinary BPMA adjusted for urinary creatinine was 0.90 (0.50, 1.73) mg·mol⁻¹. In the analysis with target indicator as continuous variable, each 1-unit increase in natural logarithm-transformed urinary BMPA level was associated with a 0.078×10⁹ L⁻¹, 0.031×10⁹ L⁻¹, 0.307%, 3.518 g·L⁻¹, and 2.469×10⁹ L⁻¹ decrease in white blood cell, lymphocyte, lymphocyte percentage, mean corpuscular hemoglobin concentration, and platelet levels, respectively (all Ps<0.05); and with a 0.440%, 1.140 fL, 0.014 fL, and 0.020 increase in hematocrit, mean corpuscular volume, and natural logarithm-transformed levels of mean platelet volume and mean platelet volume/platelet, respectively (all Ps<0.05). The categorical analysis across quartiles of BPMA level showed that BPMA was inversely associated with lymphocyte percentage, mean corpuscular hemoglobin concentration, and platelet levels in a dose-dependent manner (all P_trend<0.05), and positively related to hematocrit, mean corpuscular volume, mean platelet volume, and mean platelet volume/platelet levels in a dose-dependent manner (all P_trend<0.05). Body mass index, smoking, and drinking modified the associations of urinary BPMA level with red blood cell, mean corpuscular hemoglobin concentration lymphocyte percentage, and hemoglobin (all Ps<0.05). In addition, urinary BPMA was associated with an increased risk of abnormal increase in mean corpuscular volume (OR=1.316, 95%CI: 1.171-1.478) and red blood cell volume distribution width (OR=1.255, 95%CI: 1.030-1.528), and abnormal decrease in mean corpuscular hemoglobin concentration (OR=1.200, 95%CI: 1.035-1.392). Conclusion Exposure to 1-BP of the general population is associated with decreased white blood cells and platelets, as well as abnormal change of blood cell morphology or function.