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:To investigate the protective effect of myrislignan（MRL）on concanavalin A（Con A）-induced autoimmune hepatitis（AIH）.Methods:C57BL/6J mice were divided into the following groups using a random number table，with five mice in each group：control group，MRL group，model group（Con A group），and MRL pretreatment group（MRL+Con A group）. MRL was injected intraperitoneally at a dose of 30 μg/g；3 h after pretreatment，Con A（18 μg/g）was administrated by intravenous injection；mouse livers and serum samples were collected 12 h after injection for measuring serum transaminase levels and liver cell apoptosis. The mRNA and protein expression levels of IL-6，IL-12，and TNF-α were measured using qRT-PCR and ELISA. Flow cytometry was performed to detect the proportion and activation status of macrophages in liver tissues. Bone marrow-derived macrophages（BMDMs）were isolated and induced in vitro to analyze the regulatory effect of MRL on macrophages. One-way analysis of variance was used to compare the differences in various indicators among groups. Results:Compared with the Con A group，MRL（30 μg/g）pretreatment significantly reduced alanine aminotransferase（ P<0.05）and aspartate transaminase（ P<0.01）levels，attenuated liver oxidative stress（increased superoxide dismutase activity，while decreased levels of malondialdehyde and myeloperoxidase；all P<0.05），and suppressed hepatocyte apoptosis（ P<0.01）. Both in vivo and in vitro experiments confirmed that MRL（30 μg/g）could reduce the proportion of M1 macrophages（ in vivo： P<0.05； in vitro：all P<0.001）and inhibit macrophage activation（ in vivo： P<0.01； in vitro：all P<0.05）. Conclusion:MRL effectively prevents Con A-induced autoimmune hepatitis by inhibiting liver cell apoptosis，attenuating liver oxidative stress，suppressing M1 macrophage polarization，and reducing inflammatory cytokine expression.

Objective:To investigate the protective effect of myrislignan（MRL）on concanavalin A（Con A）-induced autoimmune hepatitis（AIH）.Methods:C57BL/6J mice were divided into the following groups using a random number table，with five mice in each group：control group，MRL group，model group（Con A group），and MRL pretreatment group（MRL+Con A group）. MRL was injected intraperitoneally at a dose of 30 μg/g；3 h after pretreatment，Con A（18 μg/g）was administrated by intravenous injection；mouse livers and serum samples were collected 12 h after injection for measuring serum transaminase levels and liver cell apoptosis. The mRNA and protein expression levels of IL-6，IL-12，and TNF-α were measured using qRT-PCR and ELISA. Flow cytometry was performed to detect the proportion and activation status of macrophages in liver tissues. Bone marrow-derived macrophages（BMDMs）were isolated and induced in vitro to analyze the regulatory effect of MRL on macrophages. One-way analysis of variance was used to compare the differences in various indicators among groups. Results:Compared with the Con A group，MRL（30 μg/g）pretreatment significantly reduced alanine aminotransferase（ P<0.05）and aspartate transaminase（ P<0.01）levels，attenuated liver oxidative stress（increased superoxide dismutase activity，while decreased levels of malondialdehyde and myeloperoxidase；all P<0.05），and suppressed hepatocyte apoptosis（ P<0.01）. Both in vivo and in vitro experiments confirmed that MRL（30 μg/g）could reduce the proportion of M1 macrophages（ in vivo： P<0.05； in vitro：all P<0.001）and inhibit macrophage activation（ in vivo： P<0.01； in vitro：all P<0.05）. Conclusion:MRL effectively prevents Con A-induced autoimmune hepatitis by inhibiting liver cell apoptosis，attenuating liver oxidative stress，suppressing M1 macrophage polarization，and reducing inflammatory cytokine expression.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.

Objective To investigate the effect of transcutaneous electrical acupoint stimulation(TEAS)on emergence agitation(EA)in children undergoing selective posterior rhizotomy(SPR).Methods Forty-two children with cerebral palsy undergoing SPR were selected,20 males and 22 females,aged 6-12 years,BMI 13-24 kg/m2,ASA physical status Ⅰ or Ⅱ,randomly divided into two groups:TEAS group(group T)and control group(group C),21 children in each group.Children in group T re-ceived TEAS at the bilateral acupoints of Neiguan and Hegu from 30 minutes before anesthesia induction to the end of surgery.In group C,electrodes were placed on the same acupoints without electrical stimulation.All children in both groups received total intravenous anesthesia.HR and MAP were recorded at the time of entry,extubation,5,15,30 minutes after extubation.The consumption of remifentanil and propofol during the procedure were recorded.The time of operation and extubation were recorded.The Wong-Baker faces pain scale-revised(FPS-R)and the pediatric anesthesia emergence delirium(PAED)were recorded at 15 minutes after extubation,and the incidence of EA was assessed by PAED.While,the occurrence of post-operative nausea and vomiting(PONV)was recorded.Results Compared with that at the time of entry,HR at the time of extubation,5,15 minutes after extubation and MAP at the time of extubation,5,15,30 minutes after extubation in group C were significantly increased(P＜0.05),HR and MAP at the time of extubation,5,15 minutes after extubationin group T were significantly increased(P＜0.05).Compared with group C,HR was significantly slower and MAP was significantly lower in group T at the time of extuba-tion,5,15,30 minutes after extubation(P＜0.05).Compared with group C,the consumption of remifen-tanil during operation was reduced,the time of extubation was significantly shortened,the FPS-R and PAED were significantly decreased,and the incidence of EA were significantly reduced(P＜0.05).There were no significant differences in the time of operation,the consumption of propofol during operation and the inci-dence of PONV.Conclusion TEAS is beneficial to prevent the occurrence of EA in pediatric patients un-dergoing SPR,stabilize hemodynamics,reduce the dosage of opioids during surgery,reduce the postopera-tive pain,andaccelerate the time of anesthesia resuscitation.

Shengmai formula,composed of Ginseng Radix et Rhizoma,Ophiopogon Radix and Schisandrae Chinensis Fructus,is a classic and famous formula.It is a representative formula for"supplementing qi,nourishing yin,and generating fluid"in Traditional Chinese Medicine theory.To date,a wide range of Shengmai formulae have been developed according to different medical applications,but the quality evaluation standards are at a relatively low level,and most of them only specify the individual components of a single herb,making it difficult to ensure clinical efficacy and safety.At the same time,the physical and chemical identification methods of Shengmai formula have been constantly updated,allowing for greater progress in research on its main chemical components such as saponins,lignans and flavonoids.However,there is little systematic summarization of the chemical components and analytical methods.Based on the existing references,we systematically summarized ginsenosides,ophiopogonins,schisandra lignans,homoisoflavonoids and some other compounds in this paper,as well as the quality standards of Shengmai formulae and their analytical methods in order to aid clinical research and formulation manufacture.

Objective:To evaluate the efficacy and safety of radiofrequency introduction of L-vitamin C in patients with melasma.Methods:From March to June 2019, 20 patients with melasma were admitted to the Department of Dermatology, the Seventh Medical Center of PLA General Hospital, including 19 females and 1 male, aged 30-60 years, with an average age of 43.5 years. All patients were treated with 22 percent of L-vitamin C once a week, a total of 8 times of treatment and followed up for 12 weeks. Each subject was assessed with standardized clinical photo, skin tests (VISIA skin image analyzer and CK multifunctional skin tester) and patient self-assessment. In addition, the adverse reactions were recorded.Results:Physician evaluation and patient self-evaluation showed that skin symptoms were improved obviously after treatment. 90% of the subjects thought that all of the skin moisture, pores, fine lines, glossiness, and color spots were improved after 12 weeks. The skin texture, ultraviolet stain and the brown spots which were detected with VISIA skin image analyzer were all improved after one week and one month. Difference was statistically significant ( P<0.05). Skin glossiness was significantly improved, skin moisture content increased and melanin decreased, which were detected with CK multifunctional skin tester. The differences were statistically significant ( P<0.05). But there was no significant change in transdermal water loss and red pigment index ( P>0.05). Conclusions:22% L-vitamin C can be used to treat melasma and improve photoaging safely without affecting skin barrier function.

Germany owns the largest herbal market in Europe and has the world's leading R&D capabilities for herbal medicine products. Chinese herbal medicine (CHM) spreaded to Germany hundreds of years ago. Since the beginning of the 20th century, China and Germany have signed a series of agreements to support traditional medicine cooperation, and the exchange of herbs between China and Germany has become more frequent, bringing opportunities for CHM to enter into Germany. In recent years, China and Germany have gained progress in the fields of CHM research and trade, etc. However, there are differences in the understanding of herbal medicines, quality standard evaluation, usage, and medication rules between the two countries. By doing SWOT analysis of the development of CHM in Germany, this paper suggested to promote Sino-German medical exchanges and build a community of common health for mankind through strengthening the clinical application of CHM, finding new ways of CHM entering into German market, and building an international talent team of traditional Chinese medicine.