Dental implantology has developed rapidly for over half a century,since pure titanium(99.7％)dental cylindrical threaded implants were exploited and osseointegration was introduced in 1960s by Prof.Br?nemark.The long term retention rates of 10 years or more are over 95％.However,the biological complications jeopardize the long term effects of dental implant treatment seriously.The prevalence of dental implant biological complications varies greatly among different reports resulting from the disparities on the defini-tions of dental implant biological complications.After analyzing and summarizing the major opinions proposed internationally in recent years,the consensus for the definition of dental implant biological complications has been reached.Generally the dental implant biologi-cal implications can be classified into early stage(before restoration)biological complications and late stage(after restoration)biological complications.The early stage biological complications include acute and chronic infections,pain,soft tissue deficiency,and osseointegration failure,etc.The late stage complications include peri-implant diseases(peri-implant mucositis and peri-implantitis),soft tissue deficiency around implant,implant loosening and dropping off,etc.The various risk factors related to different dental implant biological complications,the strategies of the prevention and treatment for the dental implant biological complications have been discussed comprehensively,and the consensus has been reached.It is aimed to advocate the dentist to pay more attention to the early prevention of the biological implant complications,to promote more researches on the implant biological complications,and to help elevate the level of dental implantology in our country.

Objective To explore the risk factors of nonalcoholic fatty liver disease(NAFLD)in obese children,and evaluate the diagnostic value of each index for NAFLD and establish a Nomogram prediction model.Methods A total of 207 obese children admitted at Department of Pediatrics the Second Hospital of Jiaxing from January 2022 to January 2025 were selected.These children were divided into two groups based on NAFLD diagnosis:non-NAFLD group(n=99)and NAFLD group(n=108).Differences in gender,age,body mass index(BMI),and related metabolic indicators were compared between two groups.Logistic regression was employed to analyze potential risk factors for NAFLD development,while receiver operating characteristic(ROC)curve and Nomograms were used to evaluate the predictive value of different factors for NAFLD.Results ROC curve analysis demonstrated diagnostic value for NAFLD in triglyceride-glucose index(TyG),triglyceride-to-cholesterol ratio,TyG-waist circumference,and TyG-BMI.Among these,the area under the curve(AUC)of TyG showed the highest value of 0.713,with an optimal cutoff of 8.189,sensitivity of 50.5％and specificity of 83.3％.Univariate Logistic regression analysis revealed multiple insulin resistance indicators associated with NAFLD development.Multivariate analysis identified homeostatic model assessment of insulin resistance(HOMA-IR)and TyG as independent risk factors,with TyG showing the best predictive value(OR=3.038 95％CI:1.089-8.475,P＜0.05).The constructed Nomogram prediction model demonstrated strong comprehensive discriminant capability(AUC=0.742).Conclusion The Nomogram model based on HOMA-IR,TyG and its derived indexes has certain clinical application value in the screening of NAFLD in children.

Dental implantology has developed rapidly for over half a century,since pure titanium(99.7％)dental cylindrical threaded implants were exploited and osseointegration was introduced in 1960s by Prof.Br?nemark.The long term retention rates of 10 years or more are over 95％.However,the biological complications jeopardize the long term effects of dental implant treatment seriously.The prevalence of dental implant biological complications varies greatly among different reports resulting from the disparities on the defini-tions of dental implant biological complications.After analyzing and summarizing the major opinions proposed internationally in recent years,the consensus for the definition of dental implant biological complications has been reached.Generally the dental implant biologi-cal implications can be classified into early stage(before restoration)biological complications and late stage(after restoration)biological complications.The early stage biological complications include acute and chronic infections,pain,soft tissue deficiency,and osseointegration failure,etc.The late stage complications include peri-implant diseases(peri-implant mucositis and peri-implantitis),soft tissue deficiency around implant,implant loosening and dropping off,etc.The various risk factors related to different dental implant biological complications,the strategies of the prevention and treatment for the dental implant biological complications have been discussed comprehensively,and the consensus has been reached.It is aimed to advocate the dentist to pay more attention to the early prevention of the biological implant complications,to promote more researches on the implant biological complications,and to help elevate the level of dental implantology in our country.

Objective:To evaluate the impact of implementing a regional hierarchical medical management model based on the medical internet of things (medical IoT) on the frequency of emergency department visits and hospitalizations, as well as related medical expenses, in patients with chronic obstructive pulmonary disease (COPD).Methods:This retrospective study included COPD patients enrolled in the regional hierarchical medical management system based on Medical IoT across 21 community health service centers in Songjiang District, Shanghai, between July 2017 and May 2018. Utilizing patient data from the year prior to enrollment as the baseline, changes in the number of emergency visits, hospitalizations, and associated medical costs during the first and second years of management were compared. Changes for patients receiving drug treatment were also analyzed.Results:A total of 973 COPD patients were enrolled. The mean age was 75.2±17.0 years, and 64.34% (626/973) were male. Compared to baseline, all COPD patients in the first year of management showed significant reductions: emergency visits decreased by 33.67%, total emergency costs by 45.60%, hospitalizations by 27.15%, and total hospitalization costs by 25.42%. In the second year, reductions were: emergency visits by 28.08%, total emergency costs by 36.10%, hospitalizations by 35.26%, and total hospitalization costs by 18.13% (all P<0.05). Among patients receiving drug therapy, reductions in the first year were: emergency visits by 39.66%, total emergency costs by 47.54%, hospitalizations by 25.19%, and total hospitalization costs by 28.40%. In the second year, reductions were: emergency visits by 46.98%, total emergency costs by 45.99%, hospitalizations by 41.98%, and total hospitalization costs by 24.94% (all P<0.05). No significant differences were observed before and after management for patients without drug treatment. Conclusion:The implementation of the regional hierarchical medical management model based on Medical IoT significantly reduced the frequency of emergency visits and hospitalizations, as well as related costs, for COPD patients.

Objective To explore the risk factors of nonalcoholic fatty liver disease(NAFLD)in obese children,and evaluate the diagnostic value of each index for NAFLD and establish a Nomogram prediction model.Methods A total of 207 obese children admitted at Department of Pediatrics the Second Hospital of Jiaxing from January 2022 to January 2025 were selected.These children were divided into two groups based on NAFLD diagnosis:non-NAFLD group(n=99)and NAFLD group(n=108).Differences in gender,age,body mass index(BMI),and related metabolic indicators were compared between two groups.Logistic regression was employed to analyze potential risk factors for NAFLD development,while receiver operating characteristic(ROC)curve and Nomograms were used to evaluate the predictive value of different factors for NAFLD.Results ROC curve analysis demonstrated diagnostic value for NAFLD in triglyceride-glucose index(TyG),triglyceride-to-cholesterol ratio,TyG-waist circumference,and TyG-BMI.Among these,the area under the curve(AUC)of TyG showed the highest value of 0.713,with an optimal cutoff of 8.189,sensitivity of 50.5％and specificity of 83.3％.Univariate Logistic regression analysis revealed multiple insulin resistance indicators associated with NAFLD development.Multivariate analysis identified homeostatic model assessment of insulin resistance(HOMA-IR)and TyG as independent risk factors,with TyG showing the best predictive value(OR=3.038 95％CI:1.089-8.475,P＜0.05).The constructed Nomogram prediction model demonstrated strong comprehensive discriminant capability(AUC=0.742).Conclusion The Nomogram model based on HOMA-IR,TyG and its derived indexes has certain clinical application value in the screening of NAFLD in children.

Objective:To evaluate the impact of implementing a regional hierarchical medical management model based on the medical internet of things (medical IoT) on the frequency of emergency department visits and hospitalizations, as well as related medical expenses, in patients with chronic obstructive pulmonary disease (COPD).Methods:This retrospective study included COPD patients enrolled in the regional hierarchical medical management system based on Medical IoT across 21 community health service centers in Songjiang District, Shanghai, between July 2017 and May 2018. Utilizing patient data from the year prior to enrollment as the baseline, changes in the number of emergency visits, hospitalizations, and associated medical costs during the first and second years of management were compared. Changes for patients receiving drug treatment were also analyzed.Results:A total of 973 COPD patients were enrolled. The mean age was 75.2±17.0 years, and 64.34% (626/973) were male. Compared to baseline, all COPD patients in the first year of management showed significant reductions: emergency visits decreased by 33.67%, total emergency costs by 45.60%, hospitalizations by 27.15%, and total hospitalization costs by 25.42%. In the second year, reductions were: emergency visits by 28.08%, total emergency costs by 36.10%, hospitalizations by 35.26%, and total hospitalization costs by 18.13% (all P<0.05). Among patients receiving drug therapy, reductions in the first year were: emergency visits by 39.66%, total emergency costs by 47.54%, hospitalizations by 25.19%, and total hospitalization costs by 28.40%. In the second year, reductions were: emergency visits by 46.98%, total emergency costs by 45.99%, hospitalizations by 41.98%, and total hospitalization costs by 24.94% (all P<0.05). No significant differences were observed before and after management for patients without drug treatment. Conclusion:The implementation of the regional hierarchical medical management model based on Medical IoT significantly reduced the frequency of emergency visits and hospitalizations, as well as related costs, for COPD patients.

Objective To explore the clinical efficacy of acupuncture on post-stroke insomnia.Methods 148 outpatients and inpatients with post-stroke insomnia were recruited in the Shanghai municipal Hospital of Traditional Chinese Medicine from June 2016 to January 2018.They were randomly divided into two groups,acupuncture group(n=74)and control group(n=74).The acupuncture group was treated with GV20,GV24,GV29,HN22,HT7 and SP6 20 minutes each time,3 times per week for 4 weeks.The follow-up was after 4 weeks.The control group was treated with sham acupuncture on the same acupoints.The needles did not pierce the skin.The Insomnia Severity Index Scale(ISI),the Hospital Anxiety and Depression Scale(HADS)and the Stroke Special Quality of Life Scale(SS-QoL)were used to evaluate the patients before treatment,after 2 weeks of treatment,after 4 weeks of treatment and follow-up.The occurrence of adverse events of acupuncture was also recorded.Results ① ISI:after 2 weeks of treatment,4 weeks of treatment and follow-up,the score of treatment group was decreased compared with the control group,and the difference was statistically significant(P＜0.01).Compared with baseline,the ISI score of the treatment group was decreased after 4 weeks of treatment(P＜0.05).② HADS score:The difference between 4-week treatment and baseline score of the HADS-A,the difference between the treatment group and the control group was statistically significant(P＜0.01);the difference between 4-week treatment and baseline,and between follow-up and baseline score of the HADS-D,the difference between the treatment group and the control group was statistically significant(P＜0.01).③SS-QoL score:The difference between 2-week treatment and baseline,between 4-week treatment and baseline,and between follow-up and baseline score of the SS-QoL,the difference between the treatment group and the control group was statistically significant(P＜0.01).Conclusion Acupuncture is an effective and safe therapy in improving the severity of insomnia of patients with post-stroke insomnia.Compared with sham acupuncture,acupuncture can improve the anxiety and depression status and quality of life of patients.

Objective To observe the clinical efficacy of Tongdu Tiaoyang rolling needle pricking-cupping(RNP-C)therapy for cervical spondylosis of qi stagnation and blood stasis type.Methods A total of 90 patients with cervical spondylosis of qi stagnation and blood stasis type were randomly divided into the rolling needle pricking-cupping(RNP-C)group and the electroacupuncture(EA)group,with 45 cases in either group.Both groups were treated with electroacupuncture at Tianzhu(BL 10),Jingjiaji(EX-B2),Houxi(SI 3),Shenmai(BL 62),Xuanzhong(GB 39),Geshu(BL 17),Hegu(LI 4)and Ashi points with continuous wave and 2 Hz of frequency for once a day,7 times as a treatment course.On the basis of electroacupuncture treatment,the rolling needle pricking-cupping(RNP-C)group was treated with bloodletting by rolling needle on the neck Du Mai and three yang channels,from Fengfu(DU 16)to Taodao(DU 13),Yuzhen(BL 9)to Dazhu(BL 11),Fengchi(GB 20)to Jianjing(GB 21),and Yifeng(SJ 17)to Tianyou(SJ 16),followed by fire cupping,for once every other day,and 3 times in all.The visual analogue scale(VAS)scores and Japanese Orthopaedic Association Scores(JOA)were observed before and after treatment,and the efficacy was evaluated.Results Compared before treatment,the scores of VAS in either group were all significantly reduced after treatment(P＜0.01).The scores of VAS in the RNP-C group were significantly inferior to those in the EA group after treatment(P＜0.01).Compared before treatment,the scores of JOA in either group were all significantly promoted after treatment(P＜0.01).The differences of JOA scores between the RNP-C group and EA group after treatment were not significant(P＞0.05).The therapeutic effecacy of the RNP-C group is superior to that of the traditional EA group(P＜0.05).Conclusion Tongdu Tiaoyang rolling needle pricking-cupping(RNP-C)therapy combining with traditional electroacupuncture could improve the cervical pain symptoms of patients with cervical spondylosis of qi stagnation and blood stasis type in a short period of time,and the clinical efficacy is better than traditional electroacupuncture.

Objective To observe the expression of phosphatidylinositol 3-kinase(PI3K)and protein kinase B(Akt)signal transducer in liver tissue of rats with bilateral ovarian castration(OVX)by electroacupuncture at Guanyuan(CV4)point,and explore the mechanism of electroacupuncture in up regulating PI3K/Akt signal pathway,regulating lipid metabolism,and reducing weight was investigated.Methods Thirty-two female SD rats were randomly divided into blank,sham operation,model and electroacupuncture group,with 8 rats in each group.Perimenopausal obesity(PMO)model was prepared by OVX in the model and the electroacupuncture group.After the model was successfully prepared,the electroacupuncture group was subjected to electroacupuncture at CV4(continuous wave,2 Hz,1 mA),once day,20 min once time,and for 14 consecutive days.The body mass of each group of rats was recorded during the whole experiment,and Lee's index was calculated during sampling.The pathological changes of liver were observed by HE staining.Serum levels of HDL,LDL and TG were detected by ELISA.Western blot analysis of PI3K,Akt,p-Akt protein expression and p-Akt/Akt in liver tissues.Results Compared with blank group and sham operation group,the body mass of rats in model group was significantly increased(P＜0.05),Lee's index was increased(P＜0.05),fat vacuoles appeared in liver,serum HDL level was decreased(P＜0.001),LDL and TG levels were increased(P＜0.01).PI3K,Akt,p-Akt,p-Akt/Akt were decreased in liver(P＜0.05).Compared with model group,body mass and Lee's index of rats in electroacupuncture group were decreased(P＜0.05),fat vacuoles in liver were decreased,HDL level was increased(P＜0.01),LDL and TG levels were decreased(P＜0.05,P＜0.01),PI3K,Akt and P-Akt were decreased(P＜0.05),and p-akt/Akt decreased(P＜0.01).Conclusion Electroacupuncture at CV4 can significantly up-regulate PI3K/Akt signaling pathway,improve lipid metabolism disorder and accumulation,and reduce body mass in OVX rats.

Objective Validate the correlation between tongue features and age and gender by utilizing real-world tongue image data from healthy individuals.Methods Establishing,training,and validating a model using artificial intelligence image acquisition techniques and machine learning tools.Results ①Artificial intelligence has achieved the digitization and standardization of Traditional Chinese Medicine tongue diagnosis data,establishing a database of Traditional Chinese Medicine tongue diagnosis(n=56573).②A highly accurate random forest model has demonstrated the correlation between tongue features and gender and age.③Further selection of key factors that show differences in tongue features between different age groups and genders.④Machine learning artificial neural network models were trained,tested,and validated(training set R2=0.8772,validation set R2=0.8715,test set R2=0.8707,AUC=89.5％),demonstrating excellent accuracy.Conclusion Machine learning validation using real-world data has confirmed that tongue features change with age.Additionally,analysis of large-scale real-world data has revealed that there are different tongue features associated with gender differences.