Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective To investigate the effect and mechanism of baicalin on blood lipid metabolism and immune function in rats with gestational diabetes mellitus (GDM). Methods Female rats fed with high-fat and high-sugar diet and male rats fed with ordinary diet were caged together to prepare pregnant rats, and the GDM rat model was established by intraperitoneal injection of streptozotocin (35 mg/kg). GDM rats were randomly divided into a model group, a fasudil (FA) (RhoA/RocK inhibitor) group (10 mg/kg), low-dose (100 mg/kg) and high-dose (200 mg/kg) baicalin groups, and a high-dose baicalin combined with LPA (RhoA/RocK activator) group (200 mg/kg baicalin+1 mg/kg LPA ), with 12 rats in each group. Another 12 pregnant rats fed with high-fat and high-sugar diet were selected as the control group. After 2 weeks of corresponding drug intervention in each group, the level of fasting blood glucose (FBG) was detected by blood glucose meter. The level of fasting insulin (FINS) in serum was detected by ELISA, and the insulin resistance index (HOMA-IR) was calculated. The levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C) in serum, and the levels of immunomodulator tumor necrosis factor α (TNF-α), interleukin 6 (IL-6), and IL-10 in peripheral blood were detected by the kit. The histopathological changes of liver were observed by HE staining. The proportion of T lymphocyte subsets in peripheral blood was detected by flow cytometry. The mRNA and protein expressions of Ras homolog gene family member A (RhoA), Rho associated coiled-coil forming protein kinase 1 (ROCK1), and ROCK2 in liver tissue were detected by real-time quantitative PCR and Western blot. Results Compared with the control group, the levels of FBG, FINS, HOMA-IR, ALT, AST, TG, TC, and LDL-C in serum, the levels of TNF-α, IL-6, the percentage of CD8⁺T cell in peripheral blood, and the mRNA and protein expression of RhoA, ROCK1, and ROCK2 in liver tissue in the model group were higher; the level of HDL-C in serum, the percentage of IL-10 levels, CD3⁺T cells, CD4⁺T cell, and CD4⁺T/CD8⁺T ratio in peripheral blood were lower. Compared with the model group, the levels of FBG, FINS, HOMA-IR, ALT, AST, TG, TC, and LDL-C in serum, the levels of TNF-α, IL-6, the percentage of CD8⁺T cell in peripheral blood, and the mRNA and protein expression of RhoA, ROCK1, and ROCK2 in liver tissue in the the FA group and low-dose and high-dose baicalin groups were lower; the level of HDL-C in serum, IL-10 level, the percentage of CD3⁺T cells, CD4⁺T cell, and CD4⁺T/CD8⁺T ratio in peripheral blood were higher. LPA could obviously weaken the improvement effects of baicalin on blood lipid metabolism and immune function in GDM rats. Conclusion Baicalin may improve blood lipid metabolism and immune function in GDM rats by inhibiting the RhoA/ROCK pathway.
Animals ; Female ; Diabetes, Gestational/metabolism* ; Pregnancy ; rho-Associated Kinases/genetics* ; Flavonoids/pharmacology* ; Rats ; rhoA GTP-Binding Protein/genetics* ; Lipid Metabolism/drug effects* ; Male ; Signal Transduction/drug effects* ; Rats, Sprague-Dawley ; Blood Glucose/metabolism* ; Lipids/blood* ; Tumor Necrosis Factor-alpha/blood* ; rho GTP-Binding Proteins

Objective:To analyze the changing trends and area specific differences in influenza vaccination coverage in key populations in Shandong Province and provide evidence for influenza prevention and control.Methods:The information about influenza vaccination in Shandong during 2015 to 2024 were collected from the Immunization Information System of Shandong Province, and the annual percentage change and average annual percentage change (AAPC) were calculated by using software Joinpoint 5.3.0. The trend of changes in vaccination coverage was analyzed and area specific differences were compared.Results:From 2015 to 2024, the influenza vaccination coverage in medical personnel ranged from 0.02% to 20.54% in Shandong (AAPC=63.24%, 95% CI: 51.37%-100.65%), showing a rapid increase from 2015 to 2020 ( P<0.001) and a stead decrease from 2020 to 2024 ( P=0.008). The vaccination coverage in teachers and students ranged from 1.51% to 6.88% (AAPC=12.33%, 95% CI: -0.97%-36.27%), with a monotonic increase from 2015 to 2024 ( P=0.070). The vaccination coverage in elderly people aged ≥60 years ranged from 0.03% to 11.68% (AAPC=102.65%, 95% CI: 64.16%-208.69%), with a rapid increase from 2015 to 2017 ( P<0.001), a steady increase from 2017 to 2020 ( P<0.001), and a slower increasee from 2020 to 2024 ( P=0.046). There were area speciific differences in the temporal trend of influenza vaccination coverage. Compared with areas with low gross domestic product (GDP), the areas with high and medium GDP had significantly higher vaccination coverage and increase rates. Conclusions:The influenza vaccination coverage in key populations showed an upward trend in Shandong from 2015 to 2024, and the vaccination coverage in elderly people aged ≥60 years increased significantly. However, it is important to increase vaccination coverage in areas with low GDP and in teachers and students.

Objective: To analyze the institutional and regional differences in influenza vaccination for teachers and students, so as to provide a basis for influenza prevention and control in campus. Methods: Influenza vaccination data for teachers and students in Shandong Province from 2015 to 2024 were collected from Immunization Information Systems. Joinpoint regression models were used to calculate the annual percent change (APC) and average annual percent change (AAPC) in first-dose vaccination rates. Results: The vaccination coverages for the first dose of influenza vaccine among teachers in Shandong Province from 2015 to 2024 were 0.01%, 0.02%, 0.15%, 0.29%, 0.60%, 2.06%, 1.64%, 2.27%, 3.00%, and 2.43%, with a turning point in 2020. For preschools, primary/secondary schools, and higher education institutions, APCs during 2015-2020 were 163.36%, 162.09%, and 174.94%, respectively( P <0.01), declining to 9.53%, 9.92%, and 8.14% during 2020-2024( P >0.05). Corresponding AAPCs were 78.32%, 78.13%, and 81.61%( P <0.01). High, middle, and low GDP regions exhibited APCs of 173.84%, 162.75%, and 136.67% during 2015-2020( P <0.01) and 5.77%, 13.92%, and 11.86% during 2020-2024( P >0.05), with AAPCs of 79.42%, 81.23% , and 69.63%( P <0.01), respectively. Among students, vaccination coverage ranged from 1.59% to 7.20%. Preschool students showed no turning points, with an AAPC of 18.73%( P <0.01). Primary/secondary students had turning points in 2018 and 2022, APCs were -32.59% during 2015-2018( P <0.01), 48.45% during 2018-2022( P <0.01), and -26.25% during 2022-2024( P =0.04), yielding an AAPC of -2.32%( P =0.45). Higher education students had a turning point in 2020, with APCs of 63.27% during 2015-2020( P <0.01) and 4.31% during 2020-2024 ( P =0.77), and the AAPC was 33.79% during 2015-2024 ( P <0.01). High, middle, and low GDP regions for students showed no turning points, with AAPCs of 10.46%( P =0.18), 13.67%( P =0.01), and 10.42%( P = 0.05 ), respectively. Conclusions The influenza vaccination rate among teachers and students in Shandong Province has shown an upward trend from 2015 to 2024, but the overall level is still relatively low. However, continued efforts are needed to enhance health education on influenza and vaccination, to further improve the vaccination rate of teachers and students.

Regarded as a pivotal strategy for comprehensively upgrading the healthcare system,Digital transformation is highly valued by policymakers.The essence of digital transformation in healthcare encompasses transformation practices across multiple facets,including healthcare facility administrators,service providers,patients,regulators and payers.However,digital transformation also poses numerous challenges,such as data security,technological adaptation,doctor-patient communication,regulatory balance and payment process optimization.To address these challenges,it is recommended to enhance data security and privacy protection,optimize technology learning and adaptation,balance technology application with clinical experience,improve data governance and business processes,strengthen patients'digital literacy,balance standardization with innovation,and optimize payment processes.These suggestions provide a reference for advancing the digitalization process of China's healthcare industry.

Objective:To evaluate the diagnostic value of non-targeted detection of metabolic fingerprinting in pulmonary nodules and to analyze the clinical effective model of multi-omics for assessing the malignant risk of pulmonary nodules.Methods:A total of 73 patients who underwent chest CT and completed pathological diagnosis and non-targeted detection of metabolic fingerprinting at Shandong Provincial Hospital Affiliated to Shandong First Medical University from November 2021 to October 2024 were selected as the research subjects. According to the postoperative histopathological diagnosis, the patients were divided into the lung malignant nodule group (61 cases) and the lung benign nodule group (12 cases). General clinical data of the patients, including sex, age, smoking history, and family history of tumors, as well as imaging data, including nodule density, nodule size, nodule location, nodule number, and special imaging manifestations (spiculation, lobulation, vacuole sign, vascular convergence sign, etc.), and non-targeted detection of metabolic fingerprinting results were collected. The above data were compared between the two groups of patients, and the receiver operator characteristic (ROC) curve was drawn to evaluate the predictive value of each model. Results:There were statistically significant differences in age ( t=4.41, P<0.001), nodule size ( Z=2.67, P=0.008), nodule density ( χ2=4.64, P=0.031), and spiculation ( χ2=7.67, P=0.006) between the lung malignant nodule group and the lung benign nodule group. There were no statistically significant differences in sex, smoking history, family history of lung cancer, nodule number, nodule location, lobulation, vacuole sign, vascular convergence sign, pleural indentation sign, calcification sign, bronchial truncation sign, vascular supply sign, and bronchial air sign (all P>0.05). The number of non-targeted detection of metabolic fingerprinting high-risk patients in the lung malignant nodule group (36 cases) was significantly higher than that in the lung benign nodule group (0 case) ( χ2=13.97, P<0.001). ROC curve analysis showed that the area under the curve of the Brock model combined with non-targeted detection of metabolic fingerprinting was 0.930 (95% CI: 0.872-0.988), which was greater than that of the Brock model (0.856, 95% CI: 0.769-0.942, Z=0.27, P=0.040) and non-targeted detection of metabolic fingerprinting (0.768, 95% CI: 0.650-0.887, Z=0.30, P=0.004) alone. Conclusions:Non-targeted detection of metabolic fingerprinting risk assessment may serve as a non-invasive method to assist the Brock model in the diagnosis of pulmonary nodules and has good application value. The combination of the Brock model and non-targeted detection of metabolic fingerprinting can more accurately distinguish the benign and malignant nature of pulmonary nodules.

Objective:To analyze the changing trends and area specific differences in influenza vaccination coverage in key populations in Shandong Province and provide evidence for influenza prevention and control.Methods:The information about influenza vaccination in Shandong during 2015 to 2024 were collected from the Immunization Information System of Shandong Province, and the annual percentage change and average annual percentage change (AAPC) were calculated by using software Joinpoint 5.3.0. The trend of changes in vaccination coverage was analyzed and area specific differences were compared.Results:From 2015 to 2024, the influenza vaccination coverage in medical personnel ranged from 0.02% to 20.54% in Shandong (AAPC=63.24%, 95% CI: 51.37%-100.65%), showing a rapid increase from 2015 to 2020 ( P<0.001) and a stead decrease from 2020 to 2024 ( P=0.008). The vaccination coverage in teachers and students ranged from 1.51% to 6.88% (AAPC=12.33%, 95% CI: -0.97%-36.27%), with a monotonic increase from 2015 to 2024 ( P=0.070). The vaccination coverage in elderly people aged ≥60 years ranged from 0.03% to 11.68% (AAPC=102.65%, 95% CI: 64.16%-208.69%), with a rapid increase from 2015 to 2017 ( P<0.001), a steady increase from 2017 to 2020 ( P<0.001), and a slower increasee from 2020 to 2024 ( P=0.046). There were area speciific differences in the temporal trend of influenza vaccination coverage. Compared with areas with low gross domestic product (GDP), the areas with high and medium GDP had significantly higher vaccination coverage and increase rates. Conclusions:The influenza vaccination coverage in key populations showed an upward trend in Shandong from 2015 to 2024, and the vaccination coverage in elderly people aged ≥60 years increased significantly. However, it is important to increase vaccination coverage in areas with low GDP and in teachers and students.

Regarded as a pivotal strategy for comprehensively upgrading the healthcare system,Digital transformation is highly valued by policymakers.The essence of digital transformation in healthcare encompasses transformation practices across multiple facets,including healthcare facility administrators,service providers,patients,regulators and payers.However,digital transformation also poses numerous challenges,such as data security,technological adaptation,doctor-patient communication,regulatory balance and payment process optimization.To address these challenges,it is recommended to enhance data security and privacy protection,optimize technology learning and adaptation,balance technology application with clinical experience,improve data governance and business processes,strengthen patients'digital literacy,balance standardization with innovation,and optimize payment processes.These suggestions provide a reference for advancing the digitalization process of China's healthcare industry.

Objective:To observe the expression levels of related cytokines in the vitreous humor of eyes with rhegmatogenous retinal detachment (RRD) associated with lattice degeneration (LD).Methods:A clinical observational study. From May 2022 to February 2023, 43 patients of 43 eyes diagnosed with RRD, with or without accompanying LD, who underwent their first pars plana vitrectomy (PPV) at Zhongda Hospital Southeast University and The Affiliated Eye Hospital of Nanjing Medical University were included in the study. The patients were divided into two groups: RRD with LD (LD group), consisting of 27 patients with 27 eyes, and RRD without LD (Non-LD group), consisting of 16 patients with 16 eyes. Additionally, 6 patients (6 eyes) with idiopathic macular holes and 4 patients (4 eyes) with idiopathic epiretinal membranes during the same period were selected as the control group. Before initiating PPV and without intraocular perfusion, a 0.5 ml sample of undiluted vitreous fluid from the central portion was excised and aspirated. The concentrations of monocyte chemoattractant protein-1 (MCP-1), macrophage inflammatory protein-1 alpha (MIP)-1α, MIP-1β, interferon-γ-inducible protein 10 (IP-10), interleukin-6 (IL-6), IL-8, macrophage migration inhibitory factor (MIF), tumor necrosis factor-alpha-α, interferon-γ, intercellular adhesion molecule 1 (ICAM-1), vascular cell adhesion molecule-1, platelet endothelial cell adhesion molecule 1 (PECAM-1), placental growth factor (PLGF) and vascular endothelial growth factor (VEGF) in the vitreous fluid were quantitatively measured using the Luminex high-throughput multiplex assay technology. The comparison of cytokine expression levels between groups was performed using the Kruskal-Wallis rank sum test, with significance levels for post-hoc pairwise comparisons adjusted by DSCF methods.Results:The eyes of the patients in the LD group, Non-LD group, and control group showed statistically significant differences ( P<0.05) in the concentrations of IL-6 ( H=14.400), IL-8 ( H=13.610), MCP-1 ( H=12.050), VEGF ( H=9.920), MIP-1α ( H=6.620), IP-10 ( H=7.780), MIF ( H=12.920), PECAM-1 ( H=9.990), ICAM-1 ( H=8.070), and PLGF ( H=16.850). Upon pairwise comparison between groups, the vitreous fluid concentrations of IL-6, IL-8, and PLGF in the LD group were found to be significantly higher than those in the Non-LD group ( P<0.05). Conclusion:The expression levels of IL-6, IL-8, and PLGF are elevated in the vitreous fluid of eyes with RRD accompanied by LD.