Objectives: Osteoporosis is a silent disease with low screening rates in many developing countries. This study aimed to evaluate the feasibility of using an artificial intelligence (AI)-based system to screen osteoporosis from pelvic and hip radiographs in Vietnam. Methods: We conducted a cross-sectional study at a tertiary medical center in Central Vietnam in 2023. A total of 2000 consecutive pelvic and hip radiographs from patients aged ≥ 40 years were collected. After excluding poorquality images, 1987 radiographs were analyzed using an AI-based software designed to estimate bone mineral density (BMD) from plain radiographs and derive T-scores. Osteoporosis was defined as a T-score ≤ − 2.5. Patient characteristics, radiographic findings, and risk factors for osteoporosis were analyzed. Results: Among 1987 patients (mean age 66.4 ± 15.1 years; 41.3% men), osteoporosis was identified in 872 patients (43.9%). The prevalence increased with age and was higher in women than in men (58.7% vs 22.8%, P < 0.001). Osteoporosis was associated with femoral neck (OR = 3.8, 95% CI: 2.7–5.2) and intertrochanteric fractures (OR = 7.0, 95% CI: 4.5–11.0). Patients with lower T-scores had a higher risk of hip fractures, especially those with T-scores ≤ − 3.0 (OR = 11.5, 95% CI: 5.5–24.5). Conclusions AI-based analysis of pelvic and hip radiographs is a feasible and effective tool for osteoporosis screening in Vietnam. The prevalence of osteoporosis in this hospital-based setting was high, particularly among elderly women.AI-assisted screening may offer an accessible strategy for early detection of osteoporosis in resource-limited settings.

Background: While advanced age is a known risk factor for postoperative complications following hip arthroplasty, its role as an independent predictor versus a surrogate for comorbidity remains unclear, particularly in developing countries. This study aimed to investigate the independent impact of age on postoperative outcomes and explore the mediating role of key comorbidities in a resource-limited setting. Methods: We retrospectively reviewed 769 adult patients undergoing hip arthroplasty at a Vietnamese tertiary hospital (2021–2024), categorized into three groups: younger adults (18–64 years), older adults (65–79 years), and oldest old (≥80 years). The primary outcome was a composite of major postoperative complications. Multivariable logistic regression and structural equation modeling were used to identify independent predictors and assess mediation effects. Results: Among 769 patients, 363 were younger (47.2%), 241 older adults (31.3%), and 165 oldest old (21.5%). Complication rates increased significantly with age (18.7%, 36.9%, and 60.0%, respectively; p<0.001). However, multivariable adjustment showed that age was not an independent predictor. Instead, heart failure (adjusted odds ratio [aOR]=5.49, 95% confidence interval [CI] 2.19–13.74) and preoperative anemia (aOR=1.77, 95% CI 1.21– 2.59) were identified as independent risk factors. Mediation analysis revealed that the effect of age on complications was significantly mediated through preoperative anemia. Conclusion Increased postoperative risk in older adults is driven by comorbidity burden rather than chronological age. Preoperative anemia and heart failure are critical, independent predictors, with anemia acting as a key mediator for the effects of age. Individualized correction of modifiable comorbidities may be more beneficial than using age alone to assess surgical risk.

Background: s/Aims: The critical view of safety (CVS) prevents bile duct injury, but severe inflammation hinders its achievement.This study evaluated the parkland grading scale (PGS) as a real-time intraoperative predictor of CVS attainment in a Southeast Asian population, establishing standardized clinical data for future artificial intelligence applications. Methods: This prospective observational study (January–June 2025) included 88 consecutive patients undergoing laparoscopic cholecystectomy by a single surgeon. PGS was assessed upon initial laparoscopic inspection. We analyzed correlations between PGS, CVS attainment (Strasberg’s criteria), operative time, and bail-out procedures using Spearman’s correlation and multivariate logistic regression. Results: Severe inflammation (PGS grade 4–5) was observed in 31.8% of patients. PGS exhibited a strong negative correlation with CVS score (p = −0.652; p < 0.001) and strong positive correlations with operative time and blood loss. A PGS threshold of 4 accurately predicted CVS failure (area under the curve = 0.863). Bail-out procedures were necessary in 11 cases (12.5%), all occurring in the PGS ≥ 4 group. Advanced age and diabetes mellitus were independent risk factors for CVS failure. Conclusions The PGS serves as a precise intraoperative early warning system. A score ≥ 4 indicates a significant risk of CVS failure, prompting safer bail-out strategies. Additionally, this study provides a standardized dataset vital for training future autonomous surgical risk assessment models.

Mirizzi syndrome type IV, a rare and complex form of biliary obstruction, has traditionally required major open surgery. This case report describes a groundbreaking alternative: a 44-year-old woman successfully treated using a minimally invasive laparoscopic approach.The less invasive procedure resulted in rapid, complication-free recovery, with no evidence of biliary stricture at the 6-month follow-up. This outcome challenges conventional management and demonstrates that a minimally invasive approach can be both feasible and highly effective in carefully selected patients.

Autophagy is a conserved catabolic process that degrades proteins and damaged organelles to maintain cellular homeostasis, and its role in cancer depends on stage and context. Farnesyl-diphosphate farnesyltransferase 1 (FDFT1) is an essential enzyme in the sterol branch of the mevalonate pathway, but its functions in hepatocellular carcinoma (HCC) and in the regulation of autophagy remain poorly understood. In this study, we show that FDFT1 acts as a negative regulator of autophagy in HCC cells. Loss of FDFT1 led to increased autophagosome formation and fusion with lysosomes, whereas its overexpression suppressed both basal and induced autophagy. These changes were associated with AMPK–ULK1 signaling, suggesting that FDFT1 influences a central pathway controlling autophagy. Our findings connect cholesterol metabolism with autophagy regulation and tumor growth, highlighting FDFT1 as a potential prognostic marker and therapeutic target in liver cancer.

Background: Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, largely because of challenges in early diagnosis and the limited sensitivity of conventional biomarkers. Therefore, reliable molecular tools for early detection, prognostic stratification, and individualized treatment predictions are urgently required. Methods: This retrospective study analyzed publicly available gene expression datasets. Candidate biomarkers were identified from the GSE14520 cohort using a multistep screening workflow that integrated differential expression analysis, diagnostic performance, and prognostic relevance. A 10-gene diagnostic model was constructed using least absolute shrinkage and selection operator logistic regression and subsequently validated across multiple independent cohorts. Survival outcomes were evaluated using the Kaplan-Meier analysis and treatment responses to sorafenib and transarterial chemoembolization (TACE) were assessed using receiver operating characteristic analysis. Results: A 10-gene signature (TOP2A, CDK1, CYP3A4, MASP2, EPHX2, HAO1, RACGAP1, GLYAT, ADH1B, and CYP4A11) was established. The model demonstrated robust internal performance and consistent accuracy across external validation cohorts (area under the curve [AUC], >0.9). This signature effectively identified early-stage HCC and distinguished malignancy from cirrhosis. High-risk scores were significantly associated with poor overall survival and recurrence-free survival (p<0.05). Furthermore, the model could predict treatment sensitivity, with higher risk scores associated with better outcomes for sorafenib (AUC, 0.791), whereas lower risk scores correlated with an improved response to TACE (AUC, 0.768). Conclusion Our gene expression-based machine learning model provides a robust tool for HCC diagnosis, prognosis, and treatment response prediction, with potential as a supportive system for personalized clinical decision-making.

Background: Nonalcoholic fatty liver disease, a progressive condition caused by the accumulation of fat in the liver, begins with simple steatosis and can potentially progress to metabolic dysfunction-associated steatohepatitis (MASH) in the presence of inflammation and fibrosis, ultimately leading to cirrhosis or hepatocellular carcinoma. Increasing evidence indicates that sodiumglucose cotransporter 2 (SGLT2) inhibitors effectively alleviate MASH in mouse models. However, there is a lack of research on the effects of enavogliflozin on liver disease. In the present study, we investigated the effects of SGLT2 inhibitors on MASH induced by a high-fat, high-cholesterol (HFHC) diet in mice. Methods: Male C57BL/6 mice were fed a normal chow diet, HFHC diet, or HFHC diet with enavogliflozin for 12 weeks. LX-2 and HepG2 cells were treated with enavogliflozin in the presence of various pathological stimuli. Results: The HFHC diet induced excessive hepatic lipid accumulation, inflammation, and severe fibrosis. Administration of enavogliflozin not only ameliorated hepatic steatosis and fibrotic conditions but also suppressed the production of inflammatory cytokines. Positive outcomes were also observed in in vitro experiments, where enavogliflozin demonstrated the ability to impede the activation of hepatic stellate cells and alleviate lipid accumulation in hepatocytes. The potential pathway through which enavogliflozin attenuated liver fibrosis development may be associated with the transforming growth factor β1/Smad signaling pathway. Conclusion Our results suggest that enavogliflozin is effective in a mouse model of MASH by attenuating hepatic steatosis, suppressing inflammation, and improving liver fibrosis.

BACKGROUND: Acellular tubular artery scaffolds offer structural support for vascular regeneration but are inherently limited by poor anticoagulant properties, which increases the risk of thrombus formation following implantation. This thrombogenicity remains a major obstacle to their clinical application, particularly in small-diameter vascular grafts. METHODS: To address this challenge, the present study investigates the use of the Layer-by-Layer (LbL) assembly technique for heparin immobilization under low-speed rotation. Utilizing a roller tube system, heparin was immobilized onto decellularized scaffolds through electrostatic interactions facilitated by a DHI-based linker. This low-speed rotation LbL approach enhanced the uniformity and stability of heparin deposition compared to traditional static methods. One, 4, 7, 10, 13 deposition cycles were performed to achieve optimal heparin loading, resulting in scaffolds capable of sustained heparin release over 28 days. RESULTS: The heparinized scaffolds exhibited an initial burst release (approximately 80%), followed by a sustained phase with 18.24% ± 0.242 remaining to support prolonged anticoagulant activity. Importantly, the modified scaffolds significantly reduced thrombus formation and exhibited minimal hemolytic activity, indicating improved hemocompatibility. In addition to their antithrombotic properties, the scaffolds also promoted endothelial cell adhesion, which is critical for restoring vascular integrity, regulating vascular tone, and maintaining long-term patency. CONCLUSION These findings highlight the efficacy of roller-assisted LbL heparinization as a practical and scalable strategy to enhance the blood compatibility of acellular vascular grafts. This method holds considerable promise for addressing thrombogenicity in vascular tissue engineering and advancing the clinical translation of bioengineered vascular constructs.

The global shortage of healthcare personnel, especially in low- and middle-income countries, has raised concerns about the quality and availability of medical education across these economies. Therefore, standardization and accreditation of medical education are essential to ensure the competence of healthcare professionals. This study reports the first-ever application of the set of standards developed by the Korean Institute of Medical Education and Evaluation (KIMEE) to assess a Vietnamese medical school. Under this initiative, the Accreditation Standards of KIMEE 2019 (ASK 2019) was implemented under the auspices of a Korea International Cooperation Agency Development Project. This study compared the evaluation results of a Vietnamese medical school’s performance with that of accredited Korean medical schools. The findings revealed both strengths and areas requiring significant improvement and underscore the need for Vietnam to develop its own contextually appropriate accreditation system.

Dong Nai province in southern Viet Nam was among the hardest hit in a measles outbreak in 2024–2025 with over 7000 cases. Our analysis outlines major takeaways for measles control in recommending the need for strengthened surveillance, digital communication and intersectoral collaboration to address immunization gaps and build health system resilience in Viet Nam.