Background: Although the criteria for follicular-pattern thyroid tumors are well-established, diagnosing these lesions remains challenging in some cases. In the recent World Health Organization Classification of Endocrine and Neuroendocrine Tumors (5th edition), the invasive encapsulated follicular variant of papillary thyroid carcinoma was reclassified as its own entity. It is crucial to differentiate this variant of papillary thyroid carcinoma from low-risk follicular pattern tumors due to their shared morphological characteristics. Proteomics holds significant promise for detecting and quantifying protein biomarkers. We investigated the potential value of a protein biomarker panel defined by machine learning for identifying the invasive encapsulated follicular variant of papillary thyroid carcinoma, initially using formalin- fixed paraffin-embedded samples. Methods: We developed a supervised machine-learning model and tested its performance using proteomics data from 46 thyroid tissue samples. Results: We applied a random forest classifier utilizing five protein biomarkers (ZEB1, NUP98, C2C2L, NPAP1, and KCNJ3). This classifier achieved areas under the curve (AUCs) of 1.00 and accuracy rates of 1.00 in training samples for distinguishing the invasive encapsulated follicular variant of papillary thyroid carcinoma from non-malignant samples. Additionally, we analyzed the performance of single-protein/gene receiver operating characteristic in differentiating the invasive encapsulated follicular variant of papillary thyroid carcinoma from others within The Cancer Genome Atlas projects, which yielded an AUC >0.5. Conclusions We demonstrated that integration of high-throughput proteomics with machine learning can effectively differentiate the invasive encapsulated follicular variant of papillary thyroid carcinoma from other follicular pattern thyroid tumors.

Background: Although the criteria for follicular-pattern thyroid tumors are well-established, diagnosing these lesions remains challenging in some cases. In the recent World Health Organization Classification of Endocrine and Neuroendocrine Tumors (5th edition), the invasive encapsulated follicular variant of papillary thyroid carcinoma was reclassified as its own entity. It is crucial to differentiate this variant of papillary thyroid carcinoma from low-risk follicular pattern tumors due to their shared morphological characteristics. Proteomics holds significant promise for detecting and quantifying protein biomarkers. We investigated the potential value of a protein biomarker panel defined by machine learning for identifying the invasive encapsulated follicular variant of papillary thyroid carcinoma, initially using formalin- fixed paraffin-embedded samples. Methods: We developed a supervised machine-learning model and tested its performance using proteomics data from 46 thyroid tissue samples. Results: We applied a random forest classifier utilizing five protein biomarkers (ZEB1, NUP98, C2C2L, NPAP1, and KCNJ3). This classifier achieved areas under the curve (AUCs) of 1.00 and accuracy rates of 1.00 in training samples for distinguishing the invasive encapsulated follicular variant of papillary thyroid carcinoma from non-malignant samples. Additionally, we analyzed the performance of single-protein/gene receiver operating characteristic in differentiating the invasive encapsulated follicular variant of papillary thyroid carcinoma from others within The Cancer Genome Atlas projects, which yielded an AUC >0.5. Conclusions We demonstrated that integration of high-throughput proteomics with machine learning can effectively differentiate the invasive encapsulated follicular variant of papillary thyroid carcinoma from other follicular pattern thyroid tumors.

Background: Although the criteria for follicular-pattern thyroid tumors are well-established, diagnosing these lesions remains challenging in some cases. In the recent World Health Organization Classification of Endocrine and Neuroendocrine Tumors (5th edition), the invasive encapsulated follicular variant of papillary thyroid carcinoma was reclassified as its own entity. It is crucial to differentiate this variant of papillary thyroid carcinoma from low-risk follicular pattern tumors due to their shared morphological characteristics. Proteomics holds significant promise for detecting and quantifying protein biomarkers. We investigated the potential value of a protein biomarker panel defined by machine learning for identifying the invasive encapsulated follicular variant of papillary thyroid carcinoma, initially using formalin- fixed paraffin-embedded samples. Methods: We developed a supervised machine-learning model and tested its performance using proteomics data from 46 thyroid tissue samples. Results: We applied a random forest classifier utilizing five protein biomarkers (ZEB1, NUP98, C2C2L, NPAP1, and KCNJ3). This classifier achieved areas under the curve (AUCs) of 1.00 and accuracy rates of 1.00 in training samples for distinguishing the invasive encapsulated follicular variant of papillary thyroid carcinoma from non-malignant samples. Additionally, we analyzed the performance of single-protein/gene receiver operating characteristic in differentiating the invasive encapsulated follicular variant of papillary thyroid carcinoma from others within The Cancer Genome Atlas projects, which yielded an AUC >0.5. Conclusions We demonstrated that integration of high-throughput proteomics with machine learning can effectively differentiate the invasive encapsulated follicular variant of papillary thyroid carcinoma from other follicular pattern thyroid tumors.

Objective: Academic stress is associated with mental health disorders, notably depression and anxiety among students. Mitigating stress can decrease the incidence of mental health disorders and improve student well-being. This study explored factors influencing academic stress among secondary school students in Vietnam.Materials and Methods: A three-year longitudinal study was conducted using a self-reported questionnaire with 611 students from four secondary schools in Hue City, Vietnam. Academic stress was evaluated using the Educational Stress Scale for Adolescents (ESSA). Family factors, including the number of siblings and parental educational levels; lifestyle factors, including physical activity and sleep; and academic factors, including grade point average and attending extra classes were evaluated. Linear regression models were used to analyze the associations between the ESSA scores at follow-up and family, lifestyle, and academic factors at baseline.Results: A total of 341 students completed both the baseline and follow-up surveys and answered the questions required for this analysis. The mean ESSA score of 341 students increased from 46.4 ± 7.6 (mean ± SD) to 53.5 ± 10.8, from 2018 to 2021. The multivariate model revealed that the number of siblings, higher father’s educational attainment level, female gender, lower academic scores, and attending extra classes were associated with overall academic stress. In contrast, no associations were observed between the variables of lifestyle, parental concentration, and parental acceptance and overall academic stress.Conclusion: The findings highlight the impact of family factors and study workload on academic stress, emphasizing the need for proper care from family and school to reduce or prevent student academic stress and provide them with a comfortable and healthy learning environment.

Objectives: Vibrio parahaemolyticus is a major foodborne pathogen in aquatic animals and a threat to human health worldwide. This study investigated the prevalence, antimicrobial resistance, antimicrobial resistance genes (ARGs), and biofilm formation of V. parahaemolyticus strains isolated from fish mariculture environments in Cat Ba Island, Vietnam. Methods: In total, 150 rearing water samples were collected from 10 fish mariculture farms in winter and summer. A polymerase chain reaction assay was used to identify V. parahaemolyticus, its virulence factors, and ARGs. The antimicrobial resistance patterns and biofilm formation ability of V. parahaemolyticus strains were investigated using the disk diffusion test and a microtiter plate-based crystal violet method, respectively. Results: Thirty-seven V. parahaemolyticus isolates were recovered from 150 samples. The frequencies of the tdh and trh genes among V. parahaemolyticus isolates were 8.1% and 21.6%, respectively. More than 90% of isolates were susceptible to ceftazidime, cefotaxime, and chloramphenicol, but over 72% were resistant to ampicillin, tetracycline, and erythromycin. Furthermore, 67.57% of isolates exhibited multidrug resistance. The presence of ARGs related to gentamicin (aac(3)-IV), tetracycline (tetA) and ciprofloxacin (qnrA) in V. parahaemolyticus isolates was identified. Conversely, no ARGs related to ampicillin or erythromycin resistance were detected. Biofilm formation capacity was detected in significantly more multidrug-resistant isolates (64.9%) than non-multidrug-resistant isolates (18.9%). Conclusion Mariculture environments are a potential source of antibiotic-resistant V.parahaemolyticus and a hotspot for virulence genes and ARGs diffusing to aquatic environments. Thus, the prevention of antibiotic-resistant foodborne vibriosis in aquatic animals and humans requires continuous monitoring.

Objectives: The prevalence of posttraumatic stress disorder (PTSD) has increased, particularly among individuals who have recovered from coronavirus disease 2019 (COVID-19) infection. Health literacy is considered a “social vaccine” that helps people respond effectively to the pandemic. We aimed to investigate the association between long COVID-19 and PTSD, and to examine the modifying role of health literacy in this association. Methods: A cross-sectional study was conducted at 18 hospitals and health centers in Vietnamfrom December 2021 to October 2022. We recruited 4,463 individuals who had recovered from COVID-19 infection for at least 4 weeks. Participants provided information about their sociodemographics, clinical parameters, health-related behaviors, health literacy (usingthe 12-item short-form health literacy scale), long COVID-19 symptoms and PTSD (Impact Event Scale-Revised score of 33 or higher). Logistic regression models were used to examine associations and interactions. Results: Out of the study sample, 55.9% had long COVID-19 symptoms, and 49.6% had PTSD.Individuals with long COVID-19 symptoms had a higher likelihood of PTSD (odds ratio [OR], 1.86; 95% confidence interval [CI], 1.63–2.12; p < 0.001). Higher health literacy was associated with a lower likelihood of PTSD (OR, 0.98; 95% CI, 0.97–0.99; p = 0.001). Compared to those without long COVID-19 symptoms and the lowest health literacy score, those with long COVID-19 symptoms and a 1-point health literacy increment had a 3% lower likelihood of PTSD (OR, 0.97; 95% CI, 0.96–0.99; p = 0.001). Conclusion Health literacy was found to be a protective factor against PTSD and modified the negative impact of long COVID-19 symptoms on PTSD.

Background: Gastrointestinal cancers, including liver cancer, colorectal cancer, and stomach cancer, are the most common cancers in the world as well as in Vietnam, posing a leading threat to human health. The cost of treating these cancers is a major problem that burdens not only patients but also healthcare systems. The study aims to analyze treatment costs for the four most common types of gastrointestinal cancer nowadays. Materials and method: A cross-sectional study was conducted to collect data from 300 medical records of inpatients with gastrointestinal cancers at the hospital of Hue University of Medicine and Pharmacy in 2021. Results: The average direct medical cost per inpatient admission was 14,239,915 VND (95% CI: 12,502,135 - 15,977,695 VND) in 2021. The cost per inpatient admission for liver cancer treatment was the highest, by 20,267,780 VND (95% CI: 16,036,541- 24,499,018 VND). The cost of drugs accounted for the highest proportion (38.1%), followed by the cost of medical supplies (14.7%). There is a statistically significant difference between the median cost of groups classified by age, metastasis, comorbidity, and length of hospital stay. Conclusion: Direct medical costs for patients with four common types of gastrointestinal cancers impose a considerable economic burden on patients and the health system. Further cost analysis studies need to be conducted. Strategies to decrease the economic burden of gastrointestinal, such as screening programs, and improving awareness of the prevention of cancer should be developed in Vietnam.

Backgroud: The aim of this study is to update on antibiotic resistance of common pathogenical bacteria isolated in Hue University of Medicine and Pharmacy Hospital (Hue UMP Hospital). Methodology: Use of the agar disk diffusion method to test the susceptibility to antimicrobial agents of 3709 bacterial strains from infected patients hospitalized in Hue UMP Hospital in 2020 - 2022. Results: Among 3709 strains of pathogenical bacteria isolated, S.aureus was found with the rate of 29.9%, followed by E. coli (24.5%), Pseudomonas aeruginasa (17.8%), Enterococcus spp. (11.8%), Klebsiella spp (9.7%) and Acinetobacter spp (4.1%). The proportion of bacterial isolates has changed, but Staphylococcus aureus is still highest rate. S.aureus is resistant to many antibiotics, but MRSA strains have decreased significantly, from 73.3% in 2020 to 62.5% in 2022. Pseudomonas aeruginosa was resistant to some of the group A recommended antibiotics such as ceftazidime, piperacillin-tazobactam with the rate of 56.6% and 48.7%. The percentage of E. coli with ESBL strains (+) was at 28.2% - 30.3%. Enterococus spp strains are still sensitive to vancomycin (83.1% - 91.9%). The rate of Klebsiella ESBL (+) is only 6.9% to 8.2%. The strains of Acinetobacter spp were highly resistant to Piperacillin (100%) and Ceftriaxone (96.5%) but they are still sensitive to imipenems 70 - 71%, highly sensitive to Doxycillin (95.2%) and Cefotaxime (88.4%). Conclusion: Many bacterial strains are resistant to many commonly antibiotics. Providing timely, regular, and effective management of antibiotic resistance patterns for common pathogenic bacteria in hospitals, will help reduce the risk of bacterial resistance.

Background: Vietnamese herbs are considered as a botanical resource, a precious medicinal source of our country, and are widely used in the residential community in general. Phu Vang district is a coastal plain and lagoon in Thua Thien Hue province, where people’s living standards are not high, health facilities lack equipment. Therefore, the needs for primary health care are necessary to be strengthened, especially in the treatment of common diseases using Vietnamese herbs to reduce costs and improve health for the people. However, the knowledge of the local residents about Vietnamese herbs preventing and treating common diseases at home has not been surveyed. Objectives: (1) To describe the knowledge, attitude and practice on the use of Vietnamese herbs used in the treatment of common diseases of residents in some communes of Phu Vang district. (2) To determine some factors related to the use of Vietnamese herbs in the treatment of common diseases among the residents. Methods: A cross-sectional study was conducted on 400 residents representing the heads of households in three communes of Phu Vang district, Thua Thien Hue province, Thua Thien Hue province. Descriptive statistical analysis and multivariable logistic regression were performed with SPSS software. Results: Knowledge: Good: 45.2%; Fair: 30.8%; Average: 9.0%; Poor: 2.0%. Attitude: 97.0% of residents preferred using Vietnamese herbs in the treatment of common diseases, and 96.6% of residents agreed to continue using Vietnamese herbs to treat similar diseases later. Practice: Good: 7.8%; Fair: 16.7%; Average: 25.3%; Poor: 50.2%. Receiving information about Vietnamese herbs and growing them at home gardens were two factors related to the use of Vietnamese herbs to treat common diseases (p < 0.05). Conclusion: The practice of using Vietnamese herbs to treat common diseases of the residents in Phu Vang district is still low, it is necessary to strengthen educational propaganda to raise the awareness and practice among residents on the prevention and treatment of diseases with Vietnamese herbs at home.

Background: One of the most important elements for improving the primary care quality is to meet the growing needs of patients and to increase patient satisfaction. In-depth studies on patients’ expectation is vital for healthcare facilities to achieve a more reliable and valid healthcare outcome. This study aims: to explore people’s expectations towards primary care services and related factors at Family Medicine Clinic, Hue University of Medicine and Pharmacy. Methods: A mixed method study on 308 patients visiting the Family Physician Clinic, Hue University of Medicine and Pharmacy. Results: The most important aspects were: “Doctor provides correct diagnoses and cure it.”, “Doctor provides careful examination”, “Doctor takes full history taking”, “Doctor clearly explains diagnosis and treatment plan”, “List of medication covered by health insurance is enough and qualified”, “Doctor/healthcare worker ensures patient confidentiality” and “Healthcare workers are friendly”. There were differences in the expectations of prioritizing primary care services in different target groups. Younger patients groups placed more expectations on facility factors than older patient groups; Patients in different occupational groups differed in their expectations of healthcare workers and the quality of medical care.Conclusion: Factors related to health care workers and quality of medical care were the most prioritizing expectations at the Family Medicine Clinic. It is necessarry to improve primary care services to meet the expectations of different target groups.