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.

Lysosomal diseases (LDs) are a group of rare inherited disorders belonging to inborn metabolism errors. LDs are characterized by the excessive storage of undegraded substrates, most often due to the enzymatic deficiency resulting from disease-causing gene variants. LDs lead to dysregulated cellular pathways and imbalanced molecular homeostasis and can affect multiple organs and tissues. Despite being rare, LDs account for a significant incidence when considered collectively. Due to complex molecular and genetic fingerprints, considerable challenges in LD management must be overcome. Diagnosis can be significantly delayed due to the broad and nonspecific clinical manifestations and the lack of specific biomarkers. Available treatments fail to fully stop the disease progression and can alter the disease's typical phenotypes with novel manifestations. Therefore, a paradigm shift is crucial to better understand LDs and provide actionable insights. Herein, we comprehensively review the literature to demonstrate that multi-omics approaches are promising for pathophysiology elucidation, biomarker discovery, and precision therapy in LDs. We recommend adopting longitudinal study designs integrated with a multi-omics-empowered framework to facilitate mechanistic delineation, biomarker discovery, and treatment development. Relevant approaches exploring the association between LDs and common neurodegenerative disorders are also discussed, paving a potential path for improved therapeutic development and ultimately improving the patient's quality of life.

The spread of tuberculosis (TB), especially multidrug-resistant TB and extensively drug-resistant TB, has strongly motivated the research and development of new anti-TB drugs. New strategies to facilitate drug combinations, including pharmacokinetics-guided dose optimization and toxicology studies of first- and second-line anti-TB drugs have also been introduced and recommended. Liquid chromatography-mass spectrometry (LC-MS) has arguably become the gold standard in the analysis of both endo- and exo-genous compounds. This technique has been applied successfully not only for therapeutic drug monitoring (TDM) but also for pharmacometabolomics analysis. TDM improves the effectiveness of treatment, reduces adverse drug reactions, and the likelihood of drug resistance development in TB patients by determining dosage regimens that produce concentrations within the therapeutic target window. Based on TDM, the dose would be optimized individually to achieve favorable outcomes. Pharmacometabolomics is essential in generating and validating hypotheses regarding the metabolism of anti-TB drugs, aiding in the discovery of potential biomarkers for TB diagnostics, treatment monitoring, and outcome evaluation. This article highlighted the current progresses in TDM of anti-TB drugs based on LC-MS bioassay in the last two decades. Besides, we discussed the advantages and disadvantages of this technique in practical use. The pressing need for non-invasive sampling approaches and stability studies of anti-TB drugs was highlighted. Lastly, we provided perspectives on the prospects of combining LC-MS-based TDM and pharmacometabolomics with other advanced strategies (pharmacometrics, drug and vaccine developments, machine learning/artificial intelligence, among others) to encapsulate in an all-inclusive approach to improve treatment outcomes of TB patients.

EVALUATE THE IMPACT OF CHILDREN’S MALADAPTIVE BEHAVIOR MANAGEMENT PROGRAM ON PARTICIPATING GRANDPARENTS IN VIETNAM: A RANDOMIZED CONTROLLED TRIAL In the Vietnamese cultural context, grandparents often assist their children in raising their grandchildren. While children often exhibit maladaptive behaviors, grandparents show difficulty in dealing with those behaviors of their grandchildren. This article evaluates the effectiveness of children’s maladaptive behavior management program for participating grandparents in order to propose recommendations for completing and widely implementing a program to support grandparents to manage their grandchildren behaviors. The results of the repeated measures Analysis of Variance (ANOVA) analysis of the cognitive status, emotions and skills of the grandparents before the experiment, immediately after the experiment and three months after the experiment between grandparents of the intervention group and grandparents of the control group show that: The program is effective in enhancing grandparents’ awareness and skills in managing children’s maladaptive behavior, reducing the impact of children’s maladaptive behavior on grandparents’ emotions. This result shows that it is feasible to implement a training program for grandparents to manage children’s maladaptive behavior in Vietnam. ASEAN Journal of Psychiatry, Vol. 25 (6 ) August, 2024; 1-11.

Background: This study was conducted on 93 volunteers with type 2 diabetes to investigate the ability of acetylated wheat starch cake containing 32.1% resistant starch to control postprandial blood glucose levels. Material and methods: The study was designed using a crossover, double-blind trial method. During each testing day, after a minimum of 12 hours of overnight fasting, each participant consumed two identical cakes containing either 80 g of acetylated wheat starch or 80 g natural wheat starch with 330ml of water within 15 minutes. Blood glucose levels were measured at baseline, 60 mins (G1), and 120 mins (G2) after ingestion. The predictive value of factors that contribute to the ability of resistant starch to control postprandial blood glucose was determined by the area under the receiver operating characteristic (ROC) curve based on the combined effect of the cake weight-to-BMI ratio (g/m²BMI) and HbA1c. Results: 60 mins and 120 mins postprandial capillary glucose levels after consuming acetylated wheat starch cake (10.4 ± 1.2 và 9.2 ± 1.2 mmol/L, respectively) were significantly lower compared with natural wheat starch cake (13.3 ± 1.8 và 11.2 ± 1.8 mmol/L, respectively) (p < 0.05). For good control of postprandial blood glucose levels, a maximum of 80 g of acetylated wheat starch can be used per serving for patients with type 2 diabetes with HbA1c ≤ 7.25 without blood glucose-lowering medication is required. Conclusion: acetylated wheat starch has better ontroled of postprandial blood glucose compared with natural wheat starch in patients with type 2 diabetes. This is very suitable in the processing of diets including resistant starch for patients with type 2 diabetes for the purpose of both supporting treatment and improving quality of life.

Purpose: Simulation teaching refers to the replication of real-life scenarios, enabling students to practice nursing skills and learn actively in a safe environment. It also helps students control their anxiety and fears when caring for real patients. This study investigated the relationships of Vietnamese nursing students’ self-confidence in clinical practice with their satisfaction and self-confidence in simulation-based practice. Methods: This cross-sectional descriptive study included 182 nursing students. The data collection included 2 separate stages with 2 main questionnaires. The Student Satisfaction and Self‐Confidence in Learning Scale was used to measure students’ satisfaction and self‐confidence after learning in the simulation room. The Confidence Scale was used to measure students’ self-confidence when first performing techniques on actual patients. Data were analyzed by descriptive and Pearson correlation statistics. Results: Students’ satisfaction and self-confidence during the simulation course were quite high (mean±standard deviation [SD], 4.06±0.48 and 4.11±0.46 out of 5.0, respectively). In contrast, their confidence when first practicing on a patient was moderate (mean±SD, 3.19±0.62 out of 5.0). Students’ satisfaction showed moderate and weak positive correlations with self-confidence in pre-clinical practice and in clinical practice (r=0.33, P<0.001 and r=0.26, P<0.001, respectively). Conclusion Simulation has become an effective teaching strategy that can help nursing students be well-prepared for clinical placements in Vietnam. An effective nursing education strategy is needed to enhance the satisfaction and self-confidence of nursing students in simulation and then in clinical practice to help achieve professional engagement and development.

Purpose: Simulation teaching refers to the replication of real-life scenarios, enabling students to practice nursing skills and learn actively in a safe environment. It also helps students control their anxiety and fears when caring for real patients. This study investigated the relationships of Vietnamese nursing students’ self-confidence in clinical practice with their satisfaction and self-confidence in simulation-based practice. Methods: This cross-sectional descriptive study included 182 nursing students. The data collection included 2 separate stages with 2 main questionnaires. The Student Satisfaction and Self‐Confidence in Learning Scale was used to measure students’ satisfaction and self‐confidence after learning in the simulation room. The Confidence Scale was used to measure students’ self-confidence when first performing techniques on actual patients. Data were analyzed by descriptive and Pearson correlation statistics. Results: Students’ satisfaction and self-confidence during the simulation course were quite high (mean±standard deviation [SD], 4.06±0.48 and 4.11±0.46 out of 5.0, respectively). In contrast, their confidence when first practicing on a patient was moderate (mean±SD, 3.19±0.62 out of 5.0). Students’ satisfaction showed moderate and weak positive correlations with self-confidence in pre-clinical practice and in clinical practice (r=0.33, P<0.001 and r=0.26, P<0.001, respectively). Conclusion Simulation has become an effective teaching strategy that can help nursing students be well-prepared for clinical placements in Vietnam. An effective nursing education strategy is needed to enhance the satisfaction and self-confidence of nursing students in simulation and then in clinical practice to help achieve professional engagement and development.

Ultrasonic computed tomography based on back scattering theory is the most powerful and accurate tool in ultrasound based imaging approaches because it is capable of providing quantitative information about the imaged target and detects very small targets. The duple-frequency distorted Born iterative method (DF–DBIM), which uses density information along with sound contrast for imaging, is a promising approach for imaging targets at the level of biological tissues. With two frequencies f₁ (low) and f₂ (high) through Nf₁ and Nf₂ iterations respectively, this method is used to estimate target density along with sound contrast. The implications of duple-frequency fusion for the image reconstruction quality of density information along with sound contrast based ultrasound tomography have been analyzed in this paper. In this paper, we concentrate on the selection of parameters that is supposed to be the best to improve the reconstruction quality of ultrasound tomography. When there are restraints imposed on simulated scenarios to have control of the computational cost, the iteration number Nf₁ is determined resulting in giving the best performance. The DF–DBIM is only effective if there are a moderate number of iterations, transmitters and receivers. In case that the number of transducers is either too large or too small, a result of reconstruction which is better than that of the single frequency approach is not produced by the implementation of DF–DBIM. A fixed sum N(iter) of Nf₁ and Nf₂ was given, the investigation of simulation results shows that the best value of Nf₁ is [N(iter)/2 − 1]. The error, when applying this way of choosing the parameters, will be normalized with the reduction of 56.11%, compared to use single frequency as used in the conventional DBIM method. The target density along with sound contrast is used to image targets in this paper. It is a fact that low-frequency offers fine convergence, and high-frequency offers fine spatial resolution. Wherefore, this technique can effectively expand DBIM's applicability to the problem of biological tissue reconstruction. Thanks to the usage of empirical data, this work will be further developed prior to its application in reality.
Image Processing, Computer-Assisted ; Methods ; Transducers ; Ultrasonics ; Ultrasonography

BACKGROUND: Workers may be exposed to various types of occupational hazards at the same time, potentially increasing the risk of adverse health outcomes. The aim of this review was to analyze the effects of multiple occupational exposures and coexposures to chemical, biomechanical, and physical hazards on adverse health outcomes among agricultural workers. METHODS: Articles published in English between 1990 and 2015 were identified using five popular databases and two complementary sources. The quality of the included publications was assessed using the methodology developed by the Effective Public Health Practice Project assessment tool for quantitative studies. RESULTS: Fifteen articles were included in the review. Multiple chemical exposures were significantly associated with an increased risk of respiratory diseases, cancer, and DNA and cytogenetic damage. Multiple physical exposures seemed to increase the risk of hearing loss, whereas coexposures to physical and biomechanical hazards were associated with an increased risk of musculoskeletal disorders among agricultural workers. CONCLUSION: Few studies have explored the impact of multiple occupational exposures on the health of agricultural workers. A very limited number of studies have investigated the effect of coexposures among biomechanical, physical, and chemical hazards on occupational health, which indicates a need for further research in this area.
Cytogenetics ; DNA ; Farmers* ; Hearing Loss ; Occupational Exposure ; Occupational Health ; Public Health Practice

Background: Shigella-induced diarrhea has been considered a major health problem leading to high morbidity and mortality. This disease can lead to dire consequences; however, the true burden of the disease, including the costs and sequalae associated with shigellosis is not yet known. Objectives: (1) To describe the health seeking behavior and the way of payment of population when suffering Shigella; (2) To identify and analyze the direct household costs associated with the treatment of diarrhea due to Shigella. Subjects and method: 290 patients of all ages with positive Shigella diarrhea admitted to public health facilities in Nha Trang, Khanh Hoa province in the period from August 2002 to January 2004 were included in the study. The subjects were divided into three age groups, the first 0-5, second 5-18 and the last one was over 18 years old. Patients and their relatives were interviewed at three stages - day 7, day 14 and day 90 - to obtain all the required information. Results: 134 of 290 patients (47%) paid for using the other health care services before admission to the study\u2019s facilities. The average direct cost per episode for the patients at group aged 0-5 was 129,000 VND, group aged 6-18 was 59,267 VND and over 18 years old was 173,531 VND; it was 131.960 VND for three groups. Comparison with the average household expenditure for health care, it was higher in the poorer group and it was lower three times than the richest group. The average direct medical cost per episode was higher the average direct non-medical cost per episode for all groups. Conclusions: The average direct cost per episode of Shigellosis treatment was rather high especially the average direct cost for the treatment at the health facility. It was also high compared with the average expenditure for health per capita so that it becomes large economic burden for households.
Direct cost ; Shigella ; treatment