Objective:Hearing loss can seriously affect mental health status, and this study aims to investigate the influence of hearing health status on depressive symptoms among middle-aged and older individuals in the community.Methods:From June to December 2023, a stratified random sampling method was employed to select 1 238 community-dwelling middle-aged and elderly people aged 45 years and above from four cities (Hangzhou, Shanghai, Baoding, and Zhengzhou) as research subjects. A questionnaire survey was conducted to collect the subjects′ basic information, hearing health status [assessed by the Hearing Handicap Inventory for Adults-Screening Version (HHIA-S)], and depressive symptoms [assessed by the Geriatric Depression Scale-15 (GDS-15)]. T-tests, rank-sum tests and chi-square tests were used for univariate analysis, while, multiple linear regression and binary Logistic regression were applied to analyze the relationship between hearing health status and depressive symptoms.Results:A total of 1 183 community-dwelling middle-aged and elderly people aged 45 years and above were included in the final analysis (464 males and 719 females, aged from 45 to 96 years). The detection rate of hearing loss was 35.3%(418/1 183), while, the detection rate of depressive symptoms was 9.89%(117/1 183). Age, level of interaction with children, self-rated health, perceived loneliness, and hearing health significantly influenced depressive symptoms among older adults residing in the community ( P<0.05). Individuals with moderate to severe hearing loss ( β=2.04, 95% CI: 1.47, 2.62) exhibited higher GDS-15 scores compared to those without hearing impairment. Furthermore, after correcting for sex, age, marital status, monthly per capita family income, education, residence, smoking status, alcohol use, use of psychotropic medication (anxiolytic or depressant), number of illness, self-health assessment, and autonomy, middle-aged and older adults with mild to moderate hearing loss ( OR=2.89, 95% CI: 1.76, 4.88) and severe hearing loss ( OR=5.79, 95% CI: 3.05, 11.01) demonstrated an increased likelihood of experiencing depression. Conclusions:The degree of hearing loss in community-dwelling middle-aged and elderly individuals is closely associated with the risk of depressive symptoms. Therefore, it is imperative to enhance hearing health screening and to provide mental health support to individuals with hearing loss, in order to mitigate the onset and progression of depressive symptoms.

Geriatric oral health care encounters significant challenges with the increase in the proportion of older individuals. Age-related changes in the dentition, muscles, and joints result in a decline in objective masticatory function, subjective restoration requirements, and acceptability among the elderly population, with individual variations influenced by systemic health. Considering functional requirements, the adaptability of stomatognathic and systemic health conditions, health economics and other factors, the authors believe that it should not be limited to the conventional "one-to-one" strategy for replacing missing teeth in geriatric prosthodontics. There is an urgent need for a precise and adaptable restoration strategy that is more suitable for older individuals. The proposal of a new concept of functional tooth loss updates the minimal restoration standards for elderly patients and establishes the theory of age-friendly functional restoration. Based on the restoration strategy of functional tooth loss, this paper proposes a new concept termed "age-friendly functional restoration of the stomatognathic system", which integrates treatment considerations including endodontics, periodontology, mucosa, muscles, temporomandibular joint, and systemic health. Efforts should be made in four areas as follows. Firstly, the "assessment of accessible function" should be enhanced by considering the interrelationship between stomatognathic and systemic health. Secondly, the "evaluation of appropriate function" is supposed to be optimised in view of subjective needs and objective evaluation of the stomatognathic system. Moreover, the "formulation of treatment plans" needs to be accomplished with the aid of assistive technologies, such as artificial intelligence, to accurately exert appropriate functional restoration. Lastly, the "management and maintenance of health" is likely to be strengthened through follow-ups, propaganda and education, and preventive healthcare, so as to improve quality of life and ultimately achieve healthy ageing among older individuals.
Humans ; Tooth Loss/therapy* ; Aged ; Stomatognathic System ; Oral Health ; Dental Care for Aged ; Dental Restoration, Permanent/methods*

Objective:Hearing loss can seriously affect mental health status, and this study aims to investigate the influence of hearing health status on depressive symptoms among middle-aged and older individuals in the community.Methods:From June to December 2023, a stratified random sampling method was employed to select 1 238 community-dwelling middle-aged and elderly people aged 45 years and above from four cities (Hangzhou, Shanghai, Baoding, and Zhengzhou) as research subjects. A questionnaire survey was conducted to collect the subjects′ basic information, hearing health status [assessed by the Hearing Handicap Inventory for Adults-Screening Version (HHIA-S)], and depressive symptoms [assessed by the Geriatric Depression Scale-15 (GDS-15)]. T-tests, rank-sum tests and chi-square tests were used for univariate analysis, while, multiple linear regression and binary Logistic regression were applied to analyze the relationship between hearing health status and depressive symptoms.Results:A total of 1 183 community-dwelling middle-aged and elderly people aged 45 years and above were included in the final analysis (464 males and 719 females, aged from 45 to 96 years). The detection rate of hearing loss was 35.3%(418/1 183), while, the detection rate of depressive symptoms was 9.89%(117/1 183). Age, level of interaction with children, self-rated health, perceived loneliness, and hearing health significantly influenced depressive symptoms among older adults residing in the community ( P<0.05). Individuals with moderate to severe hearing loss ( β=2.04, 95% CI: 1.47, 2.62) exhibited higher GDS-15 scores compared to those without hearing impairment. Furthermore, after correcting for sex, age, marital status, monthly per capita family income, education, residence, smoking status, alcohol use, use of psychotropic medication (anxiolytic or depressant), number of illness, self-health assessment, and autonomy, middle-aged and older adults with mild to moderate hearing loss ( OR=2.89, 95% CI: 1.76, 4.88) and severe hearing loss ( OR=5.79, 95% CI: 3.05, 11.01) demonstrated an increased likelihood of experiencing depression. Conclusions:The degree of hearing loss in community-dwelling middle-aged and elderly individuals is closely associated with the risk of depressive symptoms. Therefore, it is imperative to enhance hearing health screening and to provide mental health support to individuals with hearing loss, in order to mitigate the onset and progression of depressive symptoms.

Objective:To investigate and analyze the employment status of college graduates majoring in health service and management in China.Methods:From April 2023 to June 2024, a cross-sectional survey was conducted on undergraduate graduates majoring in health service and management from 34 universities in China using convenient sampling method. General information was collected (such as gender, household registration at graduation, only child status, average monthly family income, previous experience as a student cadre, average grade point, part-time job experience, entrepreneurial experience, whether a first batch graduate of the university and the major, self-assessment of professional competence level) alongside employment status. Statistical descriptive analysis was employed to analyze the graduates′ basic employment situation, job competence and professional skill demand, types of certificates valued by employers, factors influencing job selection, evaluation of work and profession, and perceptions of professional employment prospects. A total of 1 417 questionnaires were collected in this study, with 1 315 valid responses (92.8%). Chi-square tests were used to compare employment differences among various factors, and binary logistic regression was used to analyze factors influencing employment outcomes.Results:Among 564 employed graduates in the Health Services and Management field, 98 (17.4%) work in health management companies and 97 (17.2%) in hospitals. Regarding important job competencies, 413 (73.2%), 409 (72.5%), and 364 (64.5%) respectively emphasized the importance of information collection and statistical analysis, organizational coordination, and communication skills. Key professional skills highly valued by employers included health risk assessment 175 (66.3%), health measurement 160 (60.6%), and health education and promotion 152 (57.6%). Additionally, 281 (49.8%) highlighted the importance of Health Management Professional Qualification Certificates. Factors influencing job choices included salary and benefits 454 (80.5%) and personal interests and hobbies 279 (49.5%). While 397 (70.4%) of the graduates provided positive feedback on their profession, only 274 (48.6%) were optimistic about their future job prospects. Binary logistic regression analysis indicated significant correlations (all P<0.05) between employment outcomes and factors such as part-time work experience ( OR=1.31) and average grade point ( OR=0.61, 0.68). Conclusions:The employment rate of undergraduate graduates majoring in health service and management in China is low in the health service market, with a low degree of job specialization matching. Graduates are not optimistic about the future employment prospects in their field, possibly due to unclear positioning in talent cultivation in universities and an imperfect job market.

Endodontic diseases are a kind of chronic infectious oral disease.Common endodontic treatment concepts are based on the removal of inflamed or necrotic pulp tissue and the replacement by gutta-percha.However,it is very essential for endodontic treatment to debride the root canal system and prevent the root canal system from bacterial reinfection after root canal therapy(RCT).Recent research,encompassing bacterial etiology and advanced imaging techniques,contributes to our understanding of the root canal system's anatomy intricacies and the technique sensitivity of RCT.Success in RCT hinges on factors like patients,infection severity,root canal anatomy,and treatment techniques.Therefore,improving disease management is a key issue to combat endodontic diseases and cure periapical lesions.The clinical difficulty assessment system of RCT is established based on patient conditions,tooth conditions,root canal configuration,and root canal needing retreatment,and emphasizes pre-treatment risk assessment for optimal outcomes.The findings suggest that the presence of risk factors may correlate with the challenge of achieving the high standard required for RCT.These insights contribute not only to improve education but also aid practitioners in treatment planning and referral decision-making within the field of endodontics.

The overall health condition of patients significantly affects the diagnosis,treatment,and prognosis of endodontic diseases.A systemic consideration of the patient's overall health along with oral conditions holds the utmost importance in determining the necessity and feasibility of endodontic therapy,as well as selecting appropriate therapeutic approaches.This expert consensus is a collaborative effort by specialists from endodontics and clinical physicians across the nation based on the current clinical evidence,aiming to provide general guidance on clinical procedures,improve patient safety and enhance clinical outcomes of endodontic therapy in patients with compromised overall health.

Objective:To explore the value of the Nomogram model established by CT radiomics combined with clinical indicators for prediction of the severity of early acute pancreatitis (AP).Methods:From January 2016 to March 2023, the AP patients in the Second Affiliated Hospital of Soochow University were retrospectively collected. According to the revised Atlanta classification and definition of acute pancreatitis in 2012, all patients were divided into the severe group and the non-severe group. All patients were first diagnosed, and abdominal CT plain scan and enhanced scan were completed within 1 week. Patients were randomly (random number) divided into training and validation groups at a ratio of 7:3. The pancreatic parenchyma was delineated as the region of interest on each phase CT images, and the radiomics features were extracted by python software. LASSO regression and 10-fold cross-validation were used to reduce the dimension and select the optimal features to establish the radiomics signature. Multivariate Logistic regression was used to select the independent predictors of severe acute pancreatitis (SAP), and a clinical model was established. A Nomogram model was established by combining CT radiomics signature and clinical independent predictors. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to evaluate the predictive efficacy of each model.Results:Total of 205 AP patients were included (59 cases in severe group, 146 cases in non-severe group). 3, 5, 5 and 5 optimal radiomics features were selected from the plain CT scan, arterial phase, venous phase and delayed phase images of all patients, and the radiomics models were established. Among them, the arterial phase radiomics model had relatively better performance in predicting SAP, with an area under curve (AUC) of 0.937 in the training group and 0.913 in the validation group. Multivariate Logistic regression showed that C-reactive protein (CRP) and lactate dehydrogenase (LDH) were independent predictors of SAP, and they were used to establish a clinical model. The AUC in the training and validation groups were 0.879 and 0.889, respectively. The Nomogram model based on arterial phase CT radiomics signature, CRP and LDH was established, and the AUC was 0.956 and 0.947 in the training group and validation group, respectively. DCA showed that the net benefit of Nomogram model was higher than that of clinical model or radiomics model alone.Conclusions:The Nomogram model established by CT radiomics combined with clinical indicators has high application value for early prediction of the severity of AP, which is conducive to the formulation of clinical treatment plans and prognosis evaluation.

Objective:To explore the efficacy of immune checkpoint inhibitors combined with adjuvant chemotherapy in patients with phase III gastric cancer and esophagogastric junction cancer.Methods:This study used a retrospective cohort study method based on real-world data. Clinical data of 403 patients with stage III gastric/esophagogastric junction cancer who underwent gastrectomy followed by adjuvant therapy in the Department of Gastric Surgery at Sun Yat-sen University Cancer Center from January 2020 to December 2023 were retrospectively collected. The study cohort comprised 147 (36.5%) patients with stage IIIA, 130 (32.3%) with stage IIIB, and 126 (31.3%) with stage IIIC gastric/esophagogastric junction cancer. Of them, 15 (3.7%) were HER-2 positive, 25 (6.2%) dMMR, and 22 (5.5%) patients Epstein-Barr virus encoding RNA (EBER) positive. Based on treatment plans, the patients were divided into immune checkpoint inhibitor combined with chemotherapy group (immune therapy group, n=110, 71 males and 39 females, median age 59 years old) and chemotherapy alone group (chemotherapy group, n=293, 186 males and 107 females, median age 60 years old). All patients in the immunotherapy group received immune checkpoint inhibitors targeting the programmed cell death protein-1 (PD-1) and its ligand (PD-L1). Of them, 85 received pembrolizumab, 10 received sintilimab, 8 received tislelizumab, 4 received camrelizumab, 2 received toripalimab, and 1 received pabocizumab. The adjuvant chemotherapy regimens used among the chemotherapy alone group includes SOX regimen (132 cases), XELOX (102 cases), S-1 monotherapy (44 cases), and other regimens (15 cases). The 3-year DFS rate of the two groups was compared, and subgroup analysis was conducted based on different ages, molecular phenotypes, pTNM staging, extranodal infiltration, and tumor length. Results:The median follow-up was 20.5 months (range 3.1~46.3), with a 3-year overall DFS rate of 61.4% for the entire 403 patients. The 3-year DFS rate for the immunotherapy group was 82.7%, higher than the chemotherapy alone group (58.8%), with a statistically significant difference ( P=0.021). Multivariate analysis showed that postoperative immunotherapy was a protective factor for DFS (HR=0.352, 95%CI: 0.180~0.685). Subgroup analysis showed that stage IIIC (HR=0.416, 95%CI: 0.184~0.940), aged ≥60 years (HR=0.336, 95%CI: 0.121~0.934) and extranodal invasion (HR=0.378, 95%CI: 0.170~0.839) were associated with benefit from the combined immune adjuvant chemotherapy, while no association was observed for MMR, HER-2 or EBER status. Conclusion:Stage III gastric/esophagogastric junction cancer patients may benefite from postoperative immune checkpoint inhibitor combined with adjuvant chemotherapy in real-world settings.

Objective:To explore the efficacy of immune checkpoint inhibitors combined with adjuvant chemotherapy in patients with phase III gastric cancer and esophagogastric junction cancer.Methods:This study used a retrospective cohort study method based on real-world data. Clinical data of 403 patients with stage III gastric/esophagogastric junction cancer who underwent gastrectomy followed by adjuvant therapy in the Department of Gastric Surgery at Sun Yat-sen University Cancer Center from January 2020 to December 2023 were retrospectively collected. The study cohort comprised 147 (36.5%) patients with stage IIIA, 130 (32.3%) with stage IIIB, and 126 (31.3%) with stage IIIC gastric/esophagogastric junction cancer. Of them, 15 (3.7%) were HER-2 positive, 25 (6.2%) dMMR, and 22 (5.5%) patients Epstein-Barr virus encoding RNA (EBER) positive. Based on treatment plans, the patients were divided into immune checkpoint inhibitor combined with chemotherapy group (immune therapy group, n=110, 71 males and 39 females, median age 59 years old) and chemotherapy alone group (chemotherapy group, n=293, 186 males and 107 females, median age 60 years old). All patients in the immunotherapy group received immune checkpoint inhibitors targeting the programmed cell death protein-1 (PD-1) and its ligand (PD-L1). Of them, 85 received pembrolizumab, 10 received sintilimab, 8 received tislelizumab, 4 received camrelizumab, 2 received toripalimab, and 1 received pabocizumab. The adjuvant chemotherapy regimens used among the chemotherapy alone group includes SOX regimen (132 cases), XELOX (102 cases), S-1 monotherapy (44 cases), and other regimens (15 cases). The 3-year DFS rate of the two groups was compared, and subgroup analysis was conducted based on different ages, molecular phenotypes, pTNM staging, extranodal infiltration, and tumor length. Results:The median follow-up was 20.5 months (range 3.1~46.3), with a 3-year overall DFS rate of 61.4% for the entire 403 patients. The 3-year DFS rate for the immunotherapy group was 82.7%, higher than the chemotherapy alone group (58.8%), with a statistically significant difference ( P=0.021). Multivariate analysis showed that postoperative immunotherapy was a protective factor for DFS (HR=0.352, 95%CI: 0.180~0.685). Subgroup analysis showed that stage IIIC (HR=0.416, 95%CI: 0.184~0.940), aged ≥60 years (HR=0.336, 95%CI: 0.121~0.934) and extranodal invasion (HR=0.378, 95%CI: 0.170~0.839) were associated with benefit from the combined immune adjuvant chemotherapy, while no association was observed for MMR, HER-2 or EBER status. Conclusion:Stage III gastric/esophagogastric junction cancer patients may benefite from postoperative immune checkpoint inhibitor combined with adjuvant chemotherapy in real-world settings.

Objective:To explore the value of machine learning models based on multiple structural MRI features for diagnosis of Parkinson disease (PD).Methods:The clinical and imaging data of 60 PD patients (PD group) diagnosed in the Neurology Department of the Second Affiliated Hospital of Soochow University from November 2017 to August 2019 and 56 normal elderly people (NC group) recruited from the community were retrospectively analyzed. All subjects underwent brain MR imaging. Multiple structural MRI features were extracted from cerebellum, deep nuclei and of brain cortex based on different partition templates. The Mann-Whitney U test, as well as least absolute shrinkage and selection operator regression were used to select the most discriminating features. Finally, logistic regression (LR) and linear discriminant analysis (LDA) classifier combined with the 5-fold cross-validation scheme were used to construct the models based on structural features of cerebellum, deep nuclei and cortex, and a combined model based on all features. The receiver operating characteristic curves were drawn, and the diagnostic performance and clinical net benefit of each model were evaluated by the area under curve (AUC) and the decision curve analysis (DCA). Results:In total, four cerebellum (asymmetry index of Lobule Ⅵ volume, asymmetry index of Lobule ⅦB cortical thickness, asymmetry index of total gray matter volume and absolute value of right Lobule Ⅵ gray matter volume), 3 deep nuclei (absolute value of right nucleus accumbens volume, absolute and relative value of total nucleus accumbens volume) and 3 cortex features (local gyration index of left PFm, local fractal dimension of right superior frontal gyrus and sulcal depth of left superior occipital gyrus) were selected as the most discriminating features, and the related models were constructed. In validation set, the AUC of cerebellum, deep nuclei, cortex and combined models for diagnosis of PD based on LR classifier were 0.692, 0.641, 0.747 and 0.816; the AUC of cerebellum, deep nuclei, cortex and combined models for diagnosis of PD based on LDA classifier were 0.726, 0.610, 0.752 and 0.818. The diagnostic efficiency of the combined models based on LR and LDA classifiers were significantly better than those of other models ( P<0.05). The DCA curve demonstrated that the combined models based on LR and LDA classifiers showed the highest clinical net benefit. Conclusion:The combined models with all structural features of cerebellum, deep nuclei and cortex included based on LR and LDA classifiers showed favorable performance and clinical net benefit for diagnosis of PD, which have the potential application value in clinical diagnosis.