Stroke ranks as the third leading cause of death and the fourth leading cause of disability worldwide. Its high disability rate and prolonged recovery period not only severely impact patients' quality of life but also impose a significant burden on families and society. Primary prevention is the cornerstone of stroke control, as early intervention on risk factors can effectively reduce its incidence. Therefore, the development of predictive models for first-ever stroke risk holds substantial clinical value. In recent years, advancements in big data and artificial intelligence technologies have opened new avenues for stroke risk prediction. This article reviews the current research status of traditional methods and machine learning models in predicting first-ever stroke risk and outlines future development trends from three perspectives: First, emphasis should be placed on technological innovation by incorporating advanced algorithms such as deep learning and large models to further enhance the accuracy of predictive models. Second, there is a need to diversify data types and optimize model architectures to construct more comprehensive and precise predictive models. Lastly, particular attention should be given to the clinical validation of models in real-world settings. This not only enhances the robustness and generalizability of the models but also promotes physicians' understanding of predictive models, which is crucial for their application and dissemination.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Introduction: Dental caries is a preventable chronic disease whereby identification of risk factors will facilitate preventive measures. This study aims to determine the level of oral health literacy (OHL), self-care practices (SCP), salivary parameters and ascertain its assocation with caries status amongst the undergraduates in IMU University. Methods: Levels of OHL (Knowledge-OHL, dental services utilisation, and label reading habit) and SCP were assessed through a self-administered questionnaire. Chairside saliva kits were used to measure the salivary parameters whilst clinical examination was performed to assess caries status. Independent T-test and Analysis of Variance (ANOVA) was used to compare differences between sex and courses respectively for measures of interest (OHL, SCP, salivary parameters, and caries status) whereas bivariate correlation with Pearsons’s coefficient was performed to examine their association with caries status. Results: The participants (n=132) had a mean Knowledge-OHL score of 23.75±8.09 with no significant difference between sex (females, 24.01±8.51; males, 23.48±7.69; p=0.15). Dentistry students had significantly higher Knowledge-OHL score than students of all other courses (p=0.01). The mean SCP score was 20.19±3.16 whereas mean DMFT was 2.32 ±3.14. All participants had healthy saliva parameters. Caries status was significantly correlated with Knowledge-OHL score (p=0.02, r=-0.18), dental services utilisation (p=0.04, r=-0.15) but not with label reading habit (p=0.78, r=0.03), SCP (p=0.30, r=-0.05) and all salivary parameters. Conclusion Knowledge-OHL and oral health services utilisation are significantly associated with oral health status
Dental Caries ; Health Literacy ; Oral Health ; Saliva ; Self Care

Orodispersible films (oral dispersible films), a novel form of oral solid dosage forms, are widely used for patients with dysphagia and those with uncontrollable autonomic behavior. In this study, suvorexant orodispersible film was prepared by hot melt extrusion technology, and the disintegration time, mechanical properties, in vitro dissolution and pharmacokinetics were evaluated, compared with other orodispersible films and commercially available tablets Belsomra. All experiments were approved by the Committee on the Management and Use of Laboratory Animals of Academy of Military Medical Sciences (IACUC-DWZX-2024-504). The results showed that the dissolution rate of suvorexant orodispersible film was faster and the mechanical strength was better than that of other commercially available orodispersible film, which could meet the needs of storage and transportation. Differential scanning calorimetry and X-ray diffraction results showed that suvorexant was dispersed within the orodispersible film in an amorphous state. The in vitro dissolution of the film was observed to be four times faster than that of the commercial tablets, achieving complete dissolution within five minutes. Pharmacokinetic evaluations in Beagle dogs revealed that the self-formulated orodispersible film exhibited no significant differences in the area under the blood concentration-time curve when compared with Belsomra. However, the film showed a faster onset of action, with a peak time that was twice as rapid, and a maximum blood concentration that was twice as high as that of Belsomra. Leveraging hot melt extrusion technology, the suvorexant orodispersible film offers a straightforward, continuous production process with consistent quality. It serves as an excellent platform for the development of solvent-free film preparations tailored for patients with special needs.

The rheological properties of drug and carrier materials have a wide range of guiding significance for the formulation and process development of solid dispersions. In this study, the rheological properties of materials with different drug carrier ratios were systematically studied with suvorexant as the model drug and copovidone as the carrier material, which provided a sufficient basis for determining the formulation and process of solid dispersions. The optimal suvorexant-copovidone ratio obtained by oscillating temperature scanning was 1∶4. If the ratio is greater than 1∶ 4, the glass transformation temperature of the material will increase significantly, and the solubilization effect of the solid dispersion will show a downward trend. The results of oscillation temperature scanning and oscillation temperature sweep can show that when the extrusion temperature is greater than 150 ℃, the viscosity of the material is less than 10 000 Pa·s, and the melt can be extruded smoothly, and the best extrusion temperature of 160-180 ℃ can be obtained by combining the dissolution results. Finally, the dissolution of suvorexant tablets guided by rheological property studies in multiple media is similar to that of the commercially available tablets Belsomra. Therefore, rheological studies can screen and optimize the formulation and process of suvorexant solid dispersions at the mechanism level, which is of great significance to improve the success rate of R&D and shorten the R&D cycle of solid dispersions prepared by hot melt extrusion.