Objective This study examines the factors influencing oral frailty in the elderly community,develops a risk prediction model,and validates its efficacy,so as to provide references for identifying and preventing oral weakness in the elderly.Methods 556 elderly individuals from 4 communities were selected by convenience sampling from June to August 2024 in Zigong City Sichuan Province.They were randomly divided into a training group(383 cases)and a validation group(165 cases).Data were collected by a general information questionnaire,Social Frailty Scale,Geriatric Depression Scale,and the Oral Frailty Index-8 screening tool.Logistic regression was used to determine the influencing factors,and R software was used to establish a nomogram model for predicting the risk of oral frailty.Bootstrap method and the validation group were used for internally validation of the model.Calibration curve was used to evaluate the prediction performance of the model.Results 548 valid questionnaires were collected.The final model variables included whether the age ≥80 years,wearing removable dentures,reduced frequency of going out,brushing teeth less than twice a day,frequent dry mouth,increased difficulty in eating hard foods,and choking.The area under the receiver operating characteristic curve of the training group was 0.95(95％CI:0.93～0.97),and the best cutoff value was 0.687.The model achieved an accuracy of 87％,sensitivity of 91％,specificity of 85％,positive predictive value of 0.75,and negative predictive value of 0.95.The Hosmer-Lemeshow fitting test show that x2=3.036,P=0.932,indicating a good model fit.Conclusion The oral frailty prediction model demonstrated a good discrimination,calibration,and clinical utility,which can provide a scientific basis for the prevention and early screening of oral frailty in the elderly.

Objective To propose a novel method for verifying the isocenter in radiotherapy based on markers and conduct a preliminary test. Methods A feasibility experiment was conducted on wooden box phantom for radiotherapy resetting. Fifteen groups of displacement data were randomly generated,corresponding to the position deviations of the isocenter in the radiotherapy plan relative to the original isocenter. According to each set of displacement data,with the aid of movable lasers and a CT scanning couch,CT scanning was performed with two sets of markers (3 per set) affixed to the phantom which were corresponding to the original and treatment isocenters,respectively. In the Eclipse treatment planning system,the coordinate data of the original and treatment isocenters were manually verified,and the difference of coordinate data was calculated to obtain the actual displacement value. The treatment isocenter position was finally confirmed by comparing with the actual displacement. In addition,the study attempts to use threshold segmentation algorithm to automatically detect metal markers and obtain coordinate values of the original isocenter on patient-positioned CT images. In the wooden box experiment,the absolute value of the difference between the actual displacement value and the planned displacement value (?d) was used to represent the position accuracy of treatment isocenter,and the deviation value obtained with threshold segmentation algorithm for isocenter detection was ?s. Results The ?d in the X (left-right),Y (superior-inferior) and Z (anterior-superior) directions was (0.83±0.37) mm,0 (0,0.5) mm and (0.45±0.29) mm,respectively. The ?s in the X,Y and Z directions was (0.46±0.22) mm,0 (0,0.5) mm and (0.33±0.29) mm,respectively. The mean values of ?s in 3 directions were all lower than 2 mm,within the range of permissible clinical positioning error. Conclusion The method of automatically verifying treatment isocenter position based on markers is feasible,and the study provides a useful reference for radiotherapy resetting using CT simulator.

Objective Network pharmacology and molecular docking technology were used to analyze the potential mechanism of Sinisan(SNS)in the treatment of adolescent depression,and the relevant results were verified by experiments.Methods Through the TCMSP and ETCM databases,the effective chemical components and targets of SNS(Chaihu,Zhishi,Baishao and Gancao)were screened,and the main targets of adolescent depression were screened in the GeneCards and OMIM databases,and the common targets of drugs and disease were obtained by Venn diagram.Cytoscape 3.9.1 software was used to draw the Chinese herb-active ingredient-target action network of SNS.The STRING platform was used to construct a portein-protein interaction network(PPI)of drug-disease-common targets,and the core targets were obtained after screening.The Metascape platform was used to perform enrichment analysis of core targets.Molecular docking was carried out through the software AutoDockTools 1.5.7 to evaluate the binding ability of effective active ingredients to potential core targets.Western blotting(WB)experiments were used to verify the potential targets of SNS against adolescent depression.Results The core effective active ingredients of SNS in the treatment of adolescent depression include quercetin,kaempferol,isorhamnetin,paeoniflorin,etc.,and the potential core targets including AKT1,IL-6,PPARG,PTGS2,F7,etc.,were identified through PPI network topology analysis.The molecular docking results showed that the active substance had strong binding activity to its main target.WB experiments verified that AKT1,IL-1B and IL-6 were potential targets related to anti-adolescent depression.The main biological processes of PPI network four inverse dispersion in the treatment of adolescent depression include hormone response,and the main signaling pathways regulated such as AGE-RAGE and PI3K-AKT signaling pathway.Conclusion This study preliminarily confirmed the effective active ingredients and target information of SNS treatment in adolescent depression,and revealed the potential mechanism of SNS in the treatment of adolescent depression.

Objective:To investigate the influencing factors of major adverse cardiovascular events (MACE) in maintenance hemodialysis (MHD) patients, and to construct and verify the nomogram.Methods:The clinical data of 240 patients with MHD admitted to the First Affiliated Hospital of Hebei North University from July 2022 to October 2023 were retrospectively analyzed. According to whether the patients had MACE, they were divided into two groups, namely the occurrence group (with MACE, n=55) and the non-occurrence group (without MACE, n=185). After comparing the clinical data of the two groups, The independent risk factors of MHD patients with MACE were screened by binary logistic regression analysis, and the risk nomogram prediction model was constructed according to the risk factors, and the prediction efficiency of the model was analyzed by Bootstrap method. Results:There were significant differences in age, dialysis age, hyperlipidemia, hyperuricemia and hemodialysis flux between the two groups (all P<0.05). Binary logistic regression model analysis showed that dialysis age >12 months, combined with hyperlipidemia, combined with hyperuricemia, and low throughput hemodialysis were independent risk factors for MHD patients with MACE (all P<0.05). The neomorph risk prediction model was constructed based on independent risk factors. The area under the curve (AUC) of the prediction model was 0.842(95% CI: 0.789-0.896), the specificity was 69.1%, the sensitivity was 89.7%, the cutoff value was 13.128, and the Yoden index was 0.588, suggesting that the accuracy of the model was good. Conclusions:Dialysis age >12 months, combined with hyperlipidemia, combined with hyperuricemia and low throughput hemodialysis are independent risk factors for MACE in MHD patients. Intervention and control of risk factors can reduce the incidence of MACE.

Objective:To evaluate the value of D-dimer(D-D) levels in the diagnosis of thromboembolism in children with severe Mycoplasma pneumoniae pneumonia (SMPP).Methods:A case control study was conducted on 51 SMPP patients admitted to Qingdao Women and Children′s Hospital Affiliated to Qingdao University and Jining First People′s Hospital from January 1, 2021 to August 1, 2024.They were divided into a thrombus group (19 cases) and a non-thrombus group (32 cases) according to whether they had thromboembolism.The characteristics of the cases were analyzed.Logistic regression was used to analyze the relationship between increased D-D levels and the risk of thrombosis.The value of D-D levels in predicting thromboembolism in SMPP patients was evaluated by the receiver operating characteristic curve.Results:Of the 19 patients with thrombosis, 11 had with pulmonary thrombosis, 6 had cerebrovascular thrombosis, 3 had heart thrombosis, 1 had spleen artery thrombosis, and 3 had multiple site thrombosis.Compared with the non-thrombus group, the thrombus group had higher D-D levels[(18.5±4.9) mg/L vs.(3.1±0.8) mg/L, t=3.118, P=0.006], higher C-reactive protein levels[25.5(15.5, 92.7) mg/L vs.7.9(3.9, 21.4) mg/L, Z=3.292, P=0.001], higher lactate dehydrogenase levels[484(351, 743) U/L vs.347(285, 396) U/L, Z=2.770, P=0.006] and a higher proportion of pleural effusion[63.1%(12/19) vs.25.0%(8/32), χ2=7.282, P=0.009].Increased D-D levels were an independent risk factor for thromboembolism in SMPP patients ( P=0.005, OR=1.254, 95% CI: 1.069-1.472).When the D-D level was used for predicting thromboembolism in SMPP patients, its cut-off value was 4.46 mg/L, its Youden index was 0.707, its area under the curve was 0.893(95% CI: 0.807-0.979), its sensitivity was 89.5%, its specificity was 81.2%, and its negative predictive value was 92.9%. Conclusions:D-D levels have high value in predicting thromboembolism in SMPP patients, and it can help timely identify patients at high risk.

Objective Network pharmacology and molecular docking technology were used to analyze the potential mechanism of Sinisan(SNS)in the treatment of adolescent depression,and the relevant results were verified by experiments.Methods Through the TCMSP and ETCM databases,the effective chemical components and targets of SNS(Chaihu,Zhishi,Baishao and Gancao)were screened,and the main targets of adolescent depression were screened in the GeneCards and OMIM databases,and the common targets of drugs and disease were obtained by Venn diagram.Cytoscape 3.9.1 software was used to draw the Chinese herb-active ingredient-target action network of SNS.The STRING platform was used to construct a portein-protein interaction network(PPI)of drug-disease-common targets,and the core targets were obtained after screening.The Metascape platform was used to perform enrichment analysis of core targets.Molecular docking was carried out through the software AutoDockTools 1.5.7 to evaluate the binding ability of effective active ingredients to potential core targets.Western blotting(WB)experiments were used to verify the potential targets of SNS against adolescent depression.Results The core effective active ingredients of SNS in the treatment of adolescent depression include quercetin,kaempferol,isorhamnetin,paeoniflorin,etc.,and the potential core targets including AKT1,IL-6,PPARG,PTGS2,F7,etc.,were identified through PPI network topology analysis.The molecular docking results showed that the active substance had strong binding activity to its main target.WB experiments verified that AKT1,IL-1B and IL-6 were potential targets related to anti-adolescent depression.The main biological processes of PPI network four inverse dispersion in the treatment of adolescent depression include hormone response,and the main signaling pathways regulated such as AGE-RAGE and PI3K-AKT signaling pathway.Conclusion This study preliminarily confirmed the effective active ingredients and target information of SNS treatment in adolescent depression,and revealed the potential mechanism of SNS in the treatment of adolescent depression.

In recent years, the incidence of dry eye disease(DED)is increasing, positioning it as one of the most prevalent diseases affecting the ocular surface. Inflammatory response is the pathological basis of DED, involving various inflammatory mediators and inflammatory signaling pathways. Consequently, anti-inflammatory treatment emerges as a fundamental strategy for preventing and managing DED. This review summarizes the classic inflammatory factors involved in the development and progression of DED, including interleukins, tumor necrosis factor, matrix metalloproteinases, chemokines, and cell adhesion molecules. It also discusses the relevant inflammatory signaling pathways: the MAPKs pathway, NF-κB pathway, Wnt pathway and TLR pathway. Additionally, this review addresses the mechanisms of action and alterations in relevant biomarkers associated with current first-line recommended anti-inflammatory therapies, including corticosteroids, immunosuppressants, nonsteroidal anti-inflammatory drugs, and traditional Chinese medicine approaches to inflammation management. This comprehensive overview aims to enhance understanding of the inflammatory mechanisms underlying DED while exploring future therapeutic prospects.

In recent years, the incidence of dry eye disease(DED)is increasing, positioning it as one of the most prevalent diseases affecting the ocular surface. Inflammatory response is the pathological basis of DED, involving various inflammatory mediators and inflammatory signaling pathways. Consequently, anti-inflammatory treatment emerges as a fundamental strategy for preventing and managing DED. This review summarizes the classic inflammatory factors involved in the development and progression of DED, including interleukins, tumor necrosis factor, matrix metalloproteinases, chemokines, and cell adhesion molecules. It also discusses the relevant inflammatory signaling pathways: the MAPKs pathway, NF-κB pathway, Wnt pathway and TLR pathway. Additionally, this review addresses the mechanisms of action and alterations in relevant biomarkers associated with current first-line recommended anti-inflammatory therapies, including corticosteroids, immunosuppressants, nonsteroidal anti-inflammatory drugs, and traditional Chinese medicine approaches to inflammation management. This comprehensive overview aims to enhance understanding of the inflammatory mechanisms underlying DED while exploring future therapeutic prospects.

Objective:To investigate the effect of bed board of carbon fiber for treatment combined with fixed bottom board on verification results of Portal Dosimetry(PD)dose of intensity-modulated radiation therapy(IMRT)plan of fixed field for cervical cancer.Methods:A total of 15 patients with cervical cancer who admitted to Nanjing First Hospital from January 2019 to January 2020 were retrospectively selected,and the IMRT plans of fixed field for all patients were designed.The radiation field with 180° gantry angle was selected for each case to make the corresponding PD dose verification plan,and each verification plan included two subfields:AA180_0 and AA180_1.Three types of materials were placed between the accelerator head and the electronic portal imaging device(EPID),which included material without carbon fiber,bed board with carbon fiber for treatment,and the combination of the bed board with carbon fiber for treatment and the fixed bottom board with carbon fiber,when the Clinac iX accelerator was used to conduct verification plan for each case.The γ passing rates of the subfields(AA180_0 and AA180_1)and the total field(AA180)among three kinds of conditions,which included material without carbon fiber,bed board with carbon fiber for treatment,and the combination of the bed board with carbon fiber for treatment and the fixed bottom board with carbon fiber,were compared and analyzed.Results:For the subfield AA180_0,the γ passing rates under three different material conditions were respectively(96.09±1.38)%,(90.48±2.24)%and(81.85±2.46)%.For the subfield AA180_1,the γ passing rates under the above conditions were respectively(96.05±1.06)%,(91.86±2.22)%and(86.26±2.74)%.For the total field AA180,the γ passing rates were respectively(90.78±1.40)%,(84.82±2.56)%and(78.49±3.18)%.The γ passing rates of the subfield AA180_0,subfield AA180_1,and the total field AA180 showed statistically significant differences among the three different material conditions(F=177.80,80.00,91.42,P<0.01).Compared with materials without carbon fiber,the γ passing rate of the total field AA180 of the combination of the bed board with carbon fiber for treatment and the fixed bottom board with carbon fiber significantly decreased by 12.29%.Conclusion:In the PD dose verification of IMRT for cervical cancer,the bed board with carbon fiber for treatment combined with the fixed bottom board will produce adverse effect for the verification results.The effect of the single use of bed board for treatment is relatively small.The combined use of the bed board with carbon fiber for treatment and the fixed bottom board will lead to a significant deterioration in the verification result of PD dose.

Objective To propose a novel method for verifying the isocenter in radiotherapy based on markers and conduct a preliminary test. Methods A feasibility experiment was conducted on wooden box phantom for radiotherapy resetting. Fifteen groups of displacement data were randomly generated,corresponding to the position deviations of the isocenter in the radiotherapy plan relative to the original isocenter. According to each set of displacement data,with the aid of movable lasers and a CT scanning couch,CT scanning was performed with two sets of markers (3 per set) affixed to the phantom which were corresponding to the original and treatment isocenters,respectively. In the Eclipse treatment planning system,the coordinate data of the original and treatment isocenters were manually verified,and the difference of coordinate data was calculated to obtain the actual displacement value. The treatment isocenter position was finally confirmed by comparing with the actual displacement. In addition,the study attempts to use threshold segmentation algorithm to automatically detect metal markers and obtain coordinate values of the original isocenter on patient-positioned CT images. In the wooden box experiment,the absolute value of the difference between the actual displacement value and the planned displacement value (?d) was used to represent the position accuracy of treatment isocenter,and the deviation value obtained with threshold segmentation algorithm for isocenter detection was ?s. Results The ?d in the X (left-right),Y (superior-inferior) and Z (anterior-superior) directions was (0.83±0.37) mm,0 (0,0.5) mm and (0.45±0.29) mm,respectively. The ?s in the X,Y and Z directions was (0.46±0.22) mm,0 (0,0.5) mm and (0.33±0.29) mm,respectively. The mean values of ?s in 3 directions were all lower than 2 mm,within the range of permissible clinical positioning error. Conclusion The method of automatically verifying treatment isocenter position based on markers is feasible,and the study provides a useful reference for radiotherapy resetting using CT simulator.