To address the problem of data silos in dental specialties caused by equipment heterogeneity, this study developed an Intelligent Internet of Things (IoT)-enabled dental chair platform (hereinafter referred to as the intelligent platform) based on the concept of medical-engineering integration. The platform adopts a three-tier chair-domain interconnection architecture: the bottom tier integrates multi-source sensors and standardized interfaces for automated data acquisition and linkage with hospital information systems; the middle tier provides clinic-level management and remote teaching collaboration; and the top tier employs a blockchain-based secure cloud database for resource allocation and data management. Clinical validation at The Affiliated Stomatological Hospital of Nanjing Medical University demonstrated that, compared with a control group from the same period in 2023, the trial group achieved a 38.0% increase in average daily patient visits (80.6±6.8 vs. 58.4±5.2, t=15.16, P<0.001), a 24.6% reduction in average treatment time [(36.1±6.3) min vs. (47.9±8.5) min, t=7.72, P<0.001], a 39.2% reduction in waiting time [23.3 (16.5, 30.1) min vs. 38.3 (28.3, 48.3) min, U=32.00, P<0.001], a 30.4% reduction in equipment idle rate [8.7% (5.1%, 12.3%) vs. 12.5% (7.4%, 17.6%), U=251.00, P=0.003], and an increase in patient satisfaction from 88.2% (1 519/1 723) to 94.3% (2 186/2 318) ( t=7.26, P<0.001). User research confirmed that the functions most favored by clinicians and patients were "dental chair parameter updating and clinical data integration" [74.7% (80/107)] and "chairside display of diagnostic images" [76.8% (119/155)], respectively. Looking forward, the intelligent platform has the potential to integrate artificial intelligence-assisted diagnosis and 5G-enabled multicenter collaboration to further expand its clinical applications and accelerate the digital transformation of dental healthcare.

Objective:To construct a framework for evaluating the quality of health economic evaluation methodology based on the pragmatic clinical trial.Methods:An evaluation framework was constructed based on existing quality evaluation tools for health economic evaluation other quality evaluation tools.The weights of each item in the framework were determined by the Delphi method,and the weighted average was calculated using the expert authority coefficient.Results:A total of 23 experts were consulted,and the expert authority coefficients were 0.88 and 0.90,respectively.The results of the Wilcoxon signed-rank test showed no statistically signifi-cant differences among the expert opinions in two rounds(P＞0.05).Finally,a framework with 3 dimensions and 8 items was estab-lished.Conclusion:The evaluation framework has high scientificity and reliability.

To address the problem of data silos in dental specialties caused by equipment heterogeneity, this study developed an Intelligent Internet of Things (IoT)-enabled dental chair platform (hereinafter referred to as the intelligent platform) based on the concept of medical-engineering integration. The platform adopts a three-tier chair-domain interconnection architecture: the bottom tier integrates multi-source sensors and standardized interfaces for automated data acquisition and linkage with hospital information systems; the middle tier provides clinic-level management and remote teaching collaboration; and the top tier employs a blockchain-based secure cloud database for resource allocation and data management. Clinical validation at The Affiliated Stomatological Hospital of Nanjing Medical University demonstrated that, compared with a control group from the same period in 2023, the trial group achieved a 38.0% increase in average daily patient visits (80.6±6.8 vs. 58.4±5.2, t=15.16, P<0.001), a 24.6% reduction in average treatment time [(36.1±6.3) min vs. (47.9±8.5) min, t=7.72, P<0.001], a 39.2% reduction in waiting time [23.3 (16.5, 30.1) min vs. 38.3 (28.3, 48.3) min, U=32.00, P<0.001], a 30.4% reduction in equipment idle rate [8.7% (5.1%, 12.3%) vs. 12.5% (7.4%, 17.6%), U=251.00, P=0.003], and an increase in patient satisfaction from 88.2% (1 519/1 723) to 94.3% (2 186/2 318) ( t=7.26, P<0.001). User research confirmed that the functions most favored by clinicians and patients were "dental chair parameter updating and clinical data integration" [74.7% (80/107)] and "chairside display of diagnostic images" [76.8% (119/155)], respectively. Looking forward, the intelligent platform has the potential to integrate artificial intelligence-assisted diagnosis and 5G-enabled multicenter collaboration to further expand its clinical applications and accelerate the digital transformation of dental healthcare.

Objective:To construct a framework for evaluating the quality of health economic evaluation methodology based on the pragmatic clinical trial.Methods:An evaluation framework was constructed based on existing quality evaluation tools for health economic evaluation other quality evaluation tools.The weights of each item in the framework were determined by the Delphi method,and the weighted average was calculated using the expert authority coefficient.Results:A total of 23 experts were consulted,and the expert authority coefficients were 0.88 and 0.90,respectively.The results of the Wilcoxon signed-rank test showed no statistically signifi-cant differences among the expert opinions in two rounds(P＞0.05).Finally,a framework with 3 dimensions and 8 items was estab-lished.Conclusion:The evaluation framework has high scientificity and reliability.

Objective To evaluate the effectiveness of a hospital logistics operation and management based on the"one center,four platforms"model.Methods In line with the grading evaluation standards for hospital intelligent management,we used technologies such as big data,Internet of Things,Internet Plus,and artificial intelligence to develop a"one center,four platforms"model.This model consisted of a logistics intelligent operation and maintenance management center,an equipment control information platform,a security prevention information platform,an energy consumption monitoring information platform,and an operation management information platform.Results The equipment fault resolution capability,enhanced by the"smart linkage",showed a significant improvement.In 2022,false alarms decreased by 28.63%compared to 2021,with high-level and ordinary-level alarms decreasing by 69.53%and 33.15%,respectively.The"one-stop"logistics service capability was signifi-cantly improved,as indicated by a 2.92%decrease in maintenance frequency in 2022 compared to 2021.This improvement was further reflected in the quality of maintenance and a decrease in the repeated maintenance occurrences.The energy consumption control capability,based on the"data mining",showed a significant improvement,with an 8.71%year-on-year decrease in en-ergy expenditure of ten thousand yuan in 2022 compared to 2021.Conclusion The"one center,four platforms"model can sig-nificantly enhance the efficiency of logistics operation and maintenance management.

Cell migration is defined as the directional movement of cells toward a specific chemical concentration gradient, which plays a crucial role in embryo development, wound healing and tumor metastasis. However, current research methods showed low flux and are only suitable for single-factor assessment, and it was difficult to comprehensively consider the effects of other parameters such as different concentration gradients on cell migration behavior. In this paper, a four-channel microfluidic chip was designed. Its characteristics were as follows: it relied on laminar flow and diffusion mechanisms to establish and maintain a concentration gradient; it was suitable for observation of cell migration in different concentration gradient environment under a single microscope field; four cell isolation zones (20 μm width) were integrated into the microfluidic device to calibrate the initial cell position, which ensured the accuracy of the experimental results. In particular, we used COMSOL Multiphysics software to simulate the structure of the chip, which demonstrated the necessity of designing S-shaped microchannel and horizontal pressure balance channel to maintain concentration gradient. Finally, neutrophils were incubated with advanced glycation end products (AGEs, 0, 0.2, 0.5, 1.0 μmol·L ^-1), which were closely related to diabetes mellitus and its complications. The migration behavior of incubated neutrophils was studied in the 100 nmol·L ^-1 of chemokine (N-formylmethionyl-leucyl-phenyl-alanine) concentration gradient. The results prove the reliability and practicability of the microfluidic chip.
Cell Movement ; Chemotaxis ; Equipment Design ; Lab-On-A-Chip Devices ; Microfluidic Analytical Techniques ; Microfluidics ; Neutrophils ; Reproducibility of Results

Objective::Regarding the secondary prevention of cardiovascular disease (CVD), there is great interest in preventing recurrent cardiovascular events (RCVEs). The prognostic importance of liver fibrosis scores (LFSs) has previously been reported in various CVDs. We hypothesized that LFSs might also be useful predictors for RCVEs in patients with prior cardiovascular events (CVEs). Herein, we aimed to evaluate the associations of LFSs with RCVEs in a large, real-world cohort of coronary artery disease (CAD) patients with a prior CVE.Methods::In this multicenter prospective study, 6527 consecutive patients with angiography-diagnosed CAD who had experienced a prior CVE (acute coronary syndrome, stroke, percutaneous coronary intervention, or coronary artery bypass grafting) were enrolled. LFSs were computed according to the published formulas: non-alcoholic fatty liver disease fibrosis score (NFS) includes age, body mass index (BMI), impaired fasting glycemia or diabetes mellitus (DM), aspartate aminotransferase (AST)/alanine aminotransferase (ALT) ratio, platelets, and albumin; fibrosis-4 (FIB-4) includes age, AST, ALT, and platelets; Forns score includes age, gamma-glutamyltransferase (GGT), and platelets; BARD includes BMI, AST/ALT ratio, and DM; GGT/platelet ratio includes GGT and platelets; AST/ALT ratio includes AST and ALT; and AST/platelet ratio index includes AST and platelets. The originally reported cutoffs were used for the categorization of low-, intermediate-, and high-score subgroups. All patients were followed up for the occurrence of RCVEs (comprising cardiovascular death, non-fatal myocardial infarction, and stroke). Cox and Poisson regression analyses were used to assess the relationship of baseline LFSs with the risk of RCVE.Results::During a mean follow-up of (54.67 ± 18.80) months, 532 (8.2%) RCVEs were recorded. Intermediate and high NFS, FIB-4, Forns, and BARD scores were independently associated with an increased risk of RCVE (hazard ratios ranging from 1.42 to 1.75 for intermediate scores and 1.35 to 2.52 for high scores). In the subgroup analyses of sex, age, BMI, DM, and hypertension status, the increased risk of RCVEs with high LFSs (NFS, FIB-4, Forns, and BARD) was maintained across the different subgroups (all P < 0.05). Conclusion::This study showed that LFSs are indeed independently associated with RCVEs, suggesting that LFSs may be used as novel tools for risk stratification in CAD patients with a prior CVE.

Objective::Regarding the secondary prevention of cardiovascular disease (CVD), there is great interest in preventing recurrent cardiovascular events (RCVEs). The prognostic importance of liver fibrosis scores (LFSs) has previously been reported in various CVDs. We hypothesized that LFSs might also be useful predictors for RCVEs in patients with prior cardiovascular events (CVEs). Herein, we aimed to evaluate the associations of LFSs with RCVEs in a large, real-world cohort of coronary artery disease (CAD) patients with a prior CVE.Methods::In this multicenter prospective study, 6527 consecutive patients with angiography-diagnosed CAD who had experienced a prior CVE (acute coronary syndrome, stroke, percutaneous coronary intervention, or coronary artery bypass grafting) were enrolled. LFSs were computed according to the published formulas: non-alcoholic fatty liver disease fibrosis score (NFS) includes age, body mass index (BMI), impaired fasting glycemia or diabetes mellitus (DM), aspartate aminotransferase (AST)/alanine aminotransferase (ALT) ratio, platelets, and albumin; fibrosis-4 (FIB-4) includes age, AST, ALT, and platelets; Forns score includes age, gamma-glutamyltransferase (GGT), and platelets; BARD includes BMI, AST/ALT ratio, and DM; GGT/platelet ratio includes GGT and platelets; AST/ALT ratio includes AST and ALT; and AST/platelet ratio index includes AST and platelets. The originally reported cutoffs were used for the categorization of low-, intermediate-, and high-score subgroups. All patients were followed up for the occurrence of RCVEs (comprising cardiovascular death, non-fatal myocardial infarction, and stroke). Cox and Poisson regression analyses were used to assess the relationship of baseline LFSs with the risk of RCVE.Results::During a mean follow-up of (54.67 ± 18.80) months, 532 (8.2%) RCVEs were recorded. Intermediate and high NFS, FIB-4, Forns, and BARD scores were independently associated with an increased risk of RCVE (hazard ratios ranging from 1.42 to 1.75 for intermediate scores and 1.35 to 2.52 for high scores). In the subgroup analyses of sex, age, BMI, DM, and hypertension status, the increased risk of RCVEs with high LFSs (NFS, FIB-4, Forns, and BARD) was maintained across the different subgroups (all P < 0.05). Conclusion::This study showed that LFSs are indeed independently associated with RCVEs, suggesting that LFSs may be used as novel tools for risk stratification in CAD patients with a prior CVE.

Objective:To investigate the effects of estrogen receptor beta agonist diarylpropionitrile (DPN) on mesenteric artery (MA) responsiveness and on Rho-kinase signaling pathway in cirrhotic portal hypertension rats, and to elucidate the mechanism of ER beta agonist in visceral hyperdynamic circulation in cirrhotic portal hypertension rats.Methods:Female rats were treated with bilateral ovariectomy, and CCl 4 was injected to establish cirrhotic portal hypertension model. After intervention, hemodynamic parameters and vascular reactivity of MA in each group were measured, and the levelof ER beta, Rho-kinase signaling pathway-related proteins and receptor desensitization-related proteins in MA in each group were detected. Results:DPN could significantly improve the hemodynamic parameters of ovariectomized cirrhosis rats and the response of MA to norepinephrine. DPN could increase the level of inhibited ROCK protein and decrease the expression of beta-arrestin-2 and the phosphorylation of ERK1/2.Conclusions:DPN could improve the responsiveness of MA to vasoconstrictor substances, and significantly improve the hyperdynamic circulation in ovariectomized cirrhosis rats. This effect may be related to DPN improving the desensitization of MA to vasoconstrictor receptors and the Rho-kinase pathway activation.