The Chinese health index assessment system integrates the dialectical thinking of traditional philosophy， taking the Taoist cosmology， Confucian ethical view， and the holistic perspective of traditional Chinese medicine （TCM） as its theoretical foundation. It deeply analyzes the sages' conceptions of the ideal personality and social order， as well as their ideas on mind-body cultivation， while incorporating modern health concepts from psychology， medicine. The study systematically explicates the connotation and characteristics of eight components of the Chinese health index， including harmony， dedication， compassion， happiness， peace of mind， innovation， fulfillment， and adaptability. This system establishes a multidimensional assessment framework covering physical health， psychological well-being， human-social relations， and the relationship with nature， which demonstrates high cultural adaptability and practical applicability， offering theoretical reference for assessing the mind-body health of the Chinese population and for informing health promotion policies.

Objective: To analyze the epidemiological characteristics of hand, foot and mouth disease (HFMD) among children aged 0-9 years in Guangzhou, so as to provide reference basis for further exploring scientifically effective prevention and control measures. Methods: Reported cases of HFMD in children aged 0-9 years in Guangzhou City from 2013-2025 were selected from China disease prevention and control information system, and the incidence in different years was analyzed descriptively; the trends of the composition ratio and incidence in various age groups were analyzed by using the Joinpoint regression model, spatial autocorrelation analyses were performed at the district level, and the seasonal autoregressive integrated moving average model (SARIMA) was applied to predict annual incidence rate for 2026. Results: From 2013 to 2025, the average annual reported incidence rate of HFMD among children aged 0-9 years in Guangzhou was 2 513.98/100 000, showing a fluctuating trend. Peaks of incidence occurred from May to July and from September to October. The male to female ratio was 1.49∶1. The average annual incidence rate was 4 743.99/100 000 in the 0-1 years age group, 3 298.19/100 000 in the 2-5 years age group, and 544.22/ 100 000 in the 6-9 years age group. Joinpoint regression analysis showed a decreasing trend in the proportion of the 0-1 years age group (APC= -6.02 %, t =-3.77) and an increasing trend in the proportion of the 6-9 years age group (APC=16.39%, t =5.67) (both P < 0.05 ). No significant global spatial clustering was observed at the district level; however, local scattered clusters were identified in certain areas. Using the SARIMA(2,0,0)(2,0,0) 12 model, the predicted annual incidence rate of HFMD among children aged 0-9 years in Guangzhou in 2026 was 2 680.56/100 000. Conclusions From 2013 to 2025, the annual incidence rate of HFMD among children aged 0-9 years in Guangzhou exhibited a fluctuating trend; the highest incidence rate is observed in the 0-1 years age group, while the proportion of cases in the 6-9 years age group increase year by year;and local spatial clusters of abnormal distribution are identified. It is essential to enhance risk monitoring and health education in key populations and areas to mitigate the risk of infection in children.

In the context of further promoting the construction of an integrated healthcare service system,traditional quantitative indicators for measuring continuity of care may have limitations.The analysis of domestic and foreign studies on the mortality rate associated with service continuity measured by quantitative indicators shows that a lack of correlation or even an inverse correlation between continuity of care and mortality.This phenomenon may be attributed to the fact that the indicators have only single dimension and unable to capture the multidimensional nature of continuity of care.Based on these findings,some ideas are proposed for the improvement of the indicators,which contribute to thoughts and suggestions on the quantitative measurement of continuity of care.

Objective:To investigate the effect of curcumin on phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/Akt/mTOR) pathway on the autophagy of Bacille Calmette-Guérin (BCG)-infected macrophages.Methods:The infection model was established by infecting THP-1-derived macrophages with BCG. Five groups were involved in this study, which were control group, BCG group, BCG+ curcumin group, BCG+ curcumin+ IGF-1(PI3K agonist) group, and BCG+ curcumin+ LY294002 (PI3K inhibitor) group. The fluorescence intensity of autophagosomes was observed under fluorescence microscope using the fluorescent dye monodansylcadaverine (MDC staining). The expression of PI3K, Akt, mTOR, phospho-PI3K (p-PI3K), phospho-Akt (p-Akt), phospho-mTOR (p-mTOR), microtubule-associated protein 1 light chain 3-Ⅱ (LC3-Ⅱ), and Beclin-1 at protein level were detected by Western blot. Colony forming unit was used to detect macrophage load. Multiple independent, normal, and homogeneous data were compared using one-way analysis of variance, and pairwise comparisons were conducted using LSD test.Results:BCG infection significantly decreased the fluorescence intensity of autophagosomes, and the expression of autophagy marker proteins LC3-Ⅱ and Beclin-1 ( P<0.05), but increased the expression of p-PI3K, p-Akt, and p-mTOR ( P<0.05). Curcumin increased the fluorescence intensity of autophagosomes and enhanced the expression of LC3-Ⅱ and Beclin-1 proteins in a concentration-dependent manner ( P<0.05). Besides, curcumin inhibited the expression of p-PI3K, p-Akt, and p-mTOR ( P<0.05). The PI3K agonist IGF-1 reversed the above effects of curcumin. Compared with the BCG+ curcumin group, the fluorescence intensity of autophagosomes and the expression of LC3-Ⅱ and Beclin-1 proteins were further increased ( P<0.05), while the expression of p-PI3K, p-Akt and p-mTOR was further decreased ( P<0.05) in the BCG+ curcumin+ LY294002 group. Compared with the BCG group, the bacterial loads in the BCG+ curcumin group and the BCG+ curcumin+ LY294002 group decreased significantly ( P<0.05), while the bacterial load in the BCG+ curcumin+ IGF-1 group increased significantly ( P<0.05). Conclusions:Curcumin can promote the autophagy of BCG-infected macrophages, which contributes to the clearance of Mycobacterium tuberculosis by macrophages. Part of the mechanism may be related to the inhibition of PI3K/Akt/mTOR pathway.

Osteoarthritis(OA)is a common concern over the world.Garlic is a kind of natural herbal medicine,and its active ingredients have shown some anti-inflammatory,antioxidant,anti-catabolic,analgesic and other phar-macological effects.Garlic and its active components alleviate the inflammatory response of OA by inhibiting the ex?pression of inflammatory factors and signal pathways such as NF?κB and PI3K/Akt.They slow down the progression of OA by inhibiting the expression of extracellular matrix(ECM)degrading enzymes.Additionally,they reduce the oxidative damage of joints by upregulating the expression of antioxidant enzymes.Moreover,the active components of garlic can relieve OA pain by activating the potassium ion pathway(Kv7),ATP?sensitive potassium channel(K?ATP),and the nuclear factor erythroid 2?related factor 2(Nrf2)/heme oxygenase 1(HO?1)?NAD(P)H:qui?none oxidoreductase 1(NQO1)signaling pathway.

Objective To explore the value of combining apparent diffusion coefficient(ADC)heterogeneity with morphological indicators in assessing the pathological grading of non-muscle invasive bladder cancer(NMIBC).Methods The MRI images of 86 patients confirmed with NMIBC by surgical pathology were analyzed retrospectively.All patients underwent T2WI,diffusion weighted ima-ging(DWI),and dynamic contrast enhancement(DCE)examinations.Two radiologists independently measured tumor largest diam-eter(LD),actual tumor-wall contact length(ACTCL),ADCmean,ADCmin,and ADCmax values.ADC heterogeneity was calculated using the formula(ADCmax-ADCmin)/ADCmean.Differences in quantitative parameters between low-and high-grade NMIBC were compared using the Mann-Whitney U test,while differences in qualitative parameters were compared using the chi-square test.Univariate and multivariate logistic regression analyses were used to identify independent predictors of high-grade NMIBC,and receiver operating characteristic(ROC)curves were drawn to evaluate the performance of ADC heterogeneity combined with morphological indicators in assessing high-grade NMIBC.Results ADC heterogeneity and ACTCL were independent predictors for preoperative assessment of NMIBC pathological grading.The area under the curve(AUC)of ADC heterogeneity and ACTCL in assessing high-grade NMIBC were 0.843 and 0.744,respectively.The combined AUC was 0.902.The difference was statistically significant(P<0.05).Conclusion The combination of ADC heterogeneity with ACTCL can effectively improve the efficiency of preoperative assessment of NMIBC pathological grading,and providing more precise clinical decision-making and prognosis monitoring.

Objective To improve the accuracy of intelligent detection and evaluation of traditional Chinese medicine(TCM)pieces and solve the problems of leakage,misdetection,inaccurate localization and low confidence in the study of TCM pieces identification,YOLOv3 algorithm which has good detection effect for high overlap and small targets was improved.Methods An RGB image database containing 148 commonly used TCM pieces was established.Based on the YOLOv3 algorithm model,the anchor box size was improved by K-means clustering algorithm.The CIoU loss function was introduced for bounding box regression to improve the localization accuracy and confidence of bounding boxes.The traditional non-maximum suppression was improved to DIoUNMS to reduce the problems of missed detection and false detection of dense targets with high overlap by YOLOv3 algorithm.Results 148 kinds of TCM pieces were tested with the improved algorithm,and the average detection accuracy of 98.47%was achieved,which is 1.83%better than the original YOLOv3 algorithm.It realizes better detection effect for TCM pieces in complex situations such as dense,high overlapping,etc.Problems such as leakage,misdetection,imprecise positioning and low confidence level have been alleviated to a certain extent.Conclusion The improved algorithm effectively improves the recognition accuracy and generalization ability of TCM pieces,providing a new reference for the realization of automated intelligent detection of TCM pieces.

Sufficient bone tissue is required to ensure the long-term stability of implants. Based on the principles of guided bone regeneration, Dr. Istvan Urban proposed the “sausage technique”. Research indicates that the horizontal bone augmentation observed with the sausage technique averages (5.3 ± 2.3) mm and the vertical bone augmentation averages (4.2 ± 1.9) mm, which is significantly greater than the outcomes achieved with traditional guided bone regeneration techniques. The sausage technique is reliable because the biological membrane has sufficient elasticity and toughness with the application of membrane screws, which stabilizes the mixture of autologous bone and bone graft materials in the bone grafting area and prevents the grafting materials from being displaced. Using substitute materials for autologous bone graft balances the osteogenic activity and the low graft absorption rate. A ball drill is used to prepare nourishing holes in the cortical bone of the recipient area, providing a pathway for mesenchymal stem cells and bone progenitor cells to migrate to the bone regeneration area. Furthermore, this method accelerates the early angiogenesis of wound healing, fully reduces tension during suturing, and ensures that excessive pressure is not applied to the healing area during suturing. Thus, the sausage technique is consistent and reliable. Despite the good outcomes demonstrated by the sausage technique in clinical applications, its potential complications related to soft and hard tissue have attracted widespread attention. These complications negatively affect the patient’s recovery process and influence the final results of the surgery. Therefore, a complete understanding of the complications associated with the sausage technique and their underlying causes is necessary to enhance the clinical safety and effectiveness of the sausage technique. This article summarizes the application principles, clinical effects, barrier membrane applications, selection of bone transplant materials, and related complications of the sausage technique, aiming to provide a reference for clinical application.

Objective To explore the value of combining apparent diffusion coefficient(ADC)heterogeneity with morphological indicators in assessing the pathological grading of non-muscle invasive bladder cancer(NMIBC).Methods The MRI images of 86 patients confirmed with NMIBC by surgical pathology were analyzed retrospectively.All patients underwent T2WI,diffusion weighted ima-ging(DWI),and dynamic contrast enhancement(DCE)examinations.Two radiologists independently measured tumor largest diam-eter(LD),actual tumor-wall contact length(ACTCL),ADCmean,ADCmin,and ADCmax values.ADC heterogeneity was calculated using the formula(ADCmax-ADCmin)/ADCmean.Differences in quantitative parameters between low-and high-grade NMIBC were compared using the Mann-Whitney U test,while differences in qualitative parameters were compared using the chi-square test.Univariate and multivariate logistic regression analyses were used to identify independent predictors of high-grade NMIBC,and receiver operating characteristic(ROC)curves were drawn to evaluate the performance of ADC heterogeneity combined with morphological indicators in assessing high-grade NMIBC.Results ADC heterogeneity and ACTCL were independent predictors for preoperative assessment of NMIBC pathological grading.The area under the curve(AUC)of ADC heterogeneity and ACTCL in assessing high-grade NMIBC were 0.843 and 0.744,respectively.The combined AUC was 0.902.The difference was statistically significant(P<0.05).Conclusion The combination of ADC heterogeneity with ACTCL can effectively improve the efficiency of preoperative assessment of NMIBC pathological grading,and providing more precise clinical decision-making and prognosis monitoring.

Perioperative drug-related rare adverse reactions are often characterized by acute onset,high risk,and unpredictable,involving complex physiological and genetic factors.Currently,most perioperative pharmacovigilance relies on clinical monitoring and real-time data reporting by medical teams.However,due to scattered data and the masking of symptoms by anesthetics and pain medications,it is difficult to predict rare adverse reactions accurately and promptly.This paper systematically reviews the latest advancements in the integration of digital and intelligent technologies across various fields.Based on real-world data,our research team had leveraged digital-intelligence fusion technologies to deeply integrate big data with artificial intelligence,thereby constructing a standardized anesthesia-specific database.This enabled dynamic monitoring of vital signs,individualized risk prediction,and comprehensive analysis of multimodal data in real-world studies,providing an innovative solution for perioperative pharmacovigilance.The aim of this paper is to enhance the personalization and intelligence of perioperative drug safety management,thereby offering more effective protection for patient medication safety during the perioperative period.