Background: This study examined the clinical application of the modified computed tomography severity index (MCTSI) and retroperitoneal extension classification (REC) in the evaluation of acute pancreatitis (AP) among Vietnamese patients. Methods: Data from 115 patients with AP between January 2022 and February 2024 were retrospectively analyzed. AP was diagnosed using the revised Atlanta classification (RAC) criteria. All computed tomography images were assessed by two abdominal radiologists with over 10 years of experience. Patients with AP secondary to blunt abdominal trauma were excluded. Results: The mean patient age was 49.8 ± 16.7 years, and the male:female ratio was 2.7:1. Necrotizing AP was observed in 24.3% of cases and extrapancreatic complications in 35.7%. Pancreatic and peripancreatic fluid collections were noted in 68.7% of cases, including 39.1% with acute peripancreatic fluid collection, 7.8% pseudocyst, 21.7% acute necrotic collection, and 4.3% walled-off necrosis. Based on MCTSI, the rates of mild, moderate, and severe AP were 28.7%, 53.9%, and 17.4%, respectively. Grades I, II, III, IV, and V REC represented 55.7%, 13.0%, 19.1%, 5.2%, and 7.0% of patients, respectively. MCTSI and REC were correlated with RAC in the evaluation of AP severity. Multivariate regression analysis revealed MCTSI to be an independent predictor of severe AP (odds ratio, 2.719; 95% confidence interval, 1.149–6.437; P = 0.023). MCTSI > 7 was the cutoff for predicting severe AP, with a sensitivity of 83.3%, specificity of 86.2%, and area under the curve of 0.944 (P < 0.001). Compared to the non-severe group, those with severe AP according to MCTSI had a longer hospitalization period (11 [9.25–16.75] days vs. 9 [6.50–12.00] days), a higher intensive care unit admission rate (30.0% vs. 3.2%), and greater mortality (15.0% vs. 1.1%). Conclusion In the assessment of AP severity, MCTSI and REC were correlated with RAC. MCTSI was an independent predictor of severe AP.

Background: This study examined the clinical application of the modified computed tomography severity index (MCTSI) and retroperitoneal extension classification (REC) in the evaluation of acute pancreatitis (AP) among Vietnamese patients. Methods: Data from 115 patients with AP between January 2022 and February 2024 were retrospectively analyzed. AP was diagnosed using the revised Atlanta classification (RAC) criteria. All computed tomography images were assessed by two abdominal radiologists with over 10 years of experience. Patients with AP secondary to blunt abdominal trauma were excluded. Results: The mean patient age was 49.8 ± 16.7 years, and the male:female ratio was 2.7:1. Necrotizing AP was observed in 24.3% of cases and extrapancreatic complications in 35.7%. Pancreatic and peripancreatic fluid collections were noted in 68.7% of cases, including 39.1% with acute peripancreatic fluid collection, 7.8% pseudocyst, 21.7% acute necrotic collection, and 4.3% walled-off necrosis. Based on MCTSI, the rates of mild, moderate, and severe AP were 28.7%, 53.9%, and 17.4%, respectively. Grades I, II, III, IV, and V REC represented 55.7%, 13.0%, 19.1%, 5.2%, and 7.0% of patients, respectively. MCTSI and REC were correlated with RAC in the evaluation of AP severity. Multivariate regression analysis revealed MCTSI to be an independent predictor of severe AP (odds ratio, 2.719; 95% confidence interval, 1.149–6.437; P = 0.023). MCTSI > 7 was the cutoff for predicting severe AP, with a sensitivity of 83.3%, specificity of 86.2%, and area under the curve of 0.944 (P < 0.001). Compared to the non-severe group, those with severe AP according to MCTSI had a longer hospitalization period (11 [9.25–16.75] days vs. 9 [6.50–12.00] days), a higher intensive care unit admission rate (30.0% vs. 3.2%), and greater mortality (15.0% vs. 1.1%). Conclusion In the assessment of AP severity, MCTSI and REC were correlated with RAC. MCTSI was an independent predictor of severe AP.

Background: This study examined the clinical application of the modified computed tomography severity index (MCTSI) and retroperitoneal extension classification (REC) in the evaluation of acute pancreatitis (AP) among Vietnamese patients. Methods: Data from 115 patients with AP between January 2022 and February 2024 were retrospectively analyzed. AP was diagnosed using the revised Atlanta classification (RAC) criteria. All computed tomography images were assessed by two abdominal radiologists with over 10 years of experience. Patients with AP secondary to blunt abdominal trauma were excluded. Results: The mean patient age was 49.8 ± 16.7 years, and the male:female ratio was 2.7:1. Necrotizing AP was observed in 24.3% of cases and extrapancreatic complications in 35.7%. Pancreatic and peripancreatic fluid collections were noted in 68.7% of cases, including 39.1% with acute peripancreatic fluid collection, 7.8% pseudocyst, 21.7% acute necrotic collection, and 4.3% walled-off necrosis. Based on MCTSI, the rates of mild, moderate, and severe AP were 28.7%, 53.9%, and 17.4%, respectively. Grades I, II, III, IV, and V REC represented 55.7%, 13.0%, 19.1%, 5.2%, and 7.0% of patients, respectively. MCTSI and REC were correlated with RAC in the evaluation of AP severity. Multivariate regression analysis revealed MCTSI to be an independent predictor of severe AP (odds ratio, 2.719; 95% confidence interval, 1.149–6.437; P = 0.023). MCTSI > 7 was the cutoff for predicting severe AP, with a sensitivity of 83.3%, specificity of 86.2%, and area under the curve of 0.944 (P < 0.001). Compared to the non-severe group, those with severe AP according to MCTSI had a longer hospitalization period (11 [9.25–16.75] days vs. 9 [6.50–12.00] days), a higher intensive care unit admission rate (30.0% vs. 3.2%), and greater mortality (15.0% vs. 1.1%). Conclusion In the assessment of AP severity, MCTSI and REC were correlated with RAC. MCTSI was an independent predictor of severe AP.

Objective: In Viet Nam, tuberculosis (TB) prevalence surveys revealed that approximately 98% of individuals with pulmonary TB have TB-presumptive abnormalities on chest radiographs, while 32% have no TB symptoms. This prompted the adoption of the “Double X” strategy, which combines chest radiographs and computer-aided detection with GeneXpert testing to screen for and diagnose TB among vulnerable populations. The aim of this study was to describe demographic, clinical and radiographic characteristics of symptomatic and asymptomatic Double X participants and to assess multilabel radiographic abnormalities on chest radiographs, interpreted by computer-aided detection software, as a possible tool for detecting TB-presumptive abnormalities, particularly for subclinical TB. Methods: Double X participants with TB-presumptive chest radiographs and/or TB symptoms and known risks were referred for confirmatory GeneXpert testing. The demographic and clinical characteristics of all Double X participants and the subset with confirmed TB were summarized. Univariate and multivariable logistic regression modelling was used to evaluate associations between participant characteristics and subclinical TB and between computer-aided detection multilabel radiographic abnormalities and TB. Results: From 2020 to 2022, 96 631 participants received chest radiographs, with 67 881 (70.2%) reporting no TB symptoms. Among 1144 individuals with Xpert-confirmed TB, 51.0% were subclinical. Subclinical TB prevalence was higher in older age groups, non-smokers, those previously treated for TB and the northern region. Among 11 computer-aided detection multilabel radiographic abnormalities, fibrosis was associated with higher odds of subclinical TB. Discussion: In Viet Nam, Double X community case finding detected pulmonary TB, including subclinical TB. Computer-aided detection software may have the potential to identify subclinical TB on chest radiographs by classifying multilabel radiographic abnormalities, but further research is needed.

Objectives: This study was conducted to measure financial toxicity (FT) among patients with cancer in Vietnam using the COmprehensive Score for financial Toxicity (COST) and to describe the cost management strategies employed by these patients. Methods: This comprehensive cross-sectional study enrolled 634 patients from 2 specialized oncology hospitals in Vietnam. Using COST cut-off scores, FT was classified as none/mild (≥26), moderate (14-25), or severe (≤13). Cost management strategies, or coping mechanisms, were classified into 4 groups: lifestyle changes, financial resource strategies, treatment modifications, and support seeking. Results: The prevalence of FT was 91.8%, with 51.7% of participants demonstrating severe and 40.1% exhibiting moderate FT. Severe FT was significantly associated with female, low education level, unstable employment, low household economic status, and advanced cancer stage. The most common coping strategies were as follows: among lifestyle changes, reducing spending on basic items and leisure activities (78.7%) and cutting back on essential household expenses (66.4%); among financial resource strategies, borrowing money from relatives or friends (49.1%) and withdrawing funds from retirement or savings accounts (34.1%); within treatment modifications, switching treatment facilities or doctors due to cost concerns (9.3%); and within support seeking, obtaining help from welfare or community organizations (18.8%). All strategies were significantly more likely to be used by patients with severe FT. Conclusions FT was highly prevalent among patients with cancer. Most patients relied on lifestyle adjustments and coping strategies, underscoring the need for improved financial support systems to alleviate the economic burden associated with cancer care.

Objectives: This study validated the Vietnamese version of the Disaster Adaptation and Resilience Scale (DARS) for use in vulnerable communities in Vietnam. Methods: This was a cross-sectional study involving 595 adults from 2 identified communities. The original DARS assessment tool was translated, and the validity and reliability of the Vietnamese version of DARS (V-DARS) were assessed. The internal consistency of the overall scale and its subscales was evaluated using Cronbach’s alpha and McDonald’s omega reliability coefficients. Confirmatory factor analysis (CFA) was employed to evaluate its construct validity, building upon the factor structure identified in exploratory factor analysis (EFA). Construct validity was assessed based on convergent and discriminant validity. Results: Following the established criteria for EFA, 8 items were removed, resulting in a refined V-DARS structure comprising 35 items distributed across 5 distinct factors. Both alpha and omega reliability coefficients indicated strong internal consistency for the overall scale (α=0.963, ω=0.963) and for each of the 5 sub-scales (all>0.80). The CFA model also retained the 5-factor structure with 35 items. The model fit indices showed acceptable values (RMSEA: 0.072; CFI: 0.912; TLI: 0.904; chi-square test: <0.01). Additionally, the convergent and discriminant validity of the V-DARS were deemed appropriate and satisfactory for explaining the measurement structure. Conclusions Our findings suggest that the V-DARS is a valid and reliable scale for use within vulnerable communities in Vietnam to assess adaptive responses to natural disasters. It may also be considered for use in other populations.

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: 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.

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.

Objectives: The coronavirus disease 2019 (COVID-19) pandemic has increased the workload of healthcare workers (HCWs), impacting their health. This study aimed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and identify factors associated with poor sleep among HCWs in Vietnam during the COVID-19 pandemic. Methods: In this cross-sectional study, 1000 frontline HCWs were recruited from various healthcare facilities in Vietnam between October 2021 and November 2021. Data were collected using a 3-part self-administered questionnaire, which covered demographics, sleep quality, and factors related to poor sleep. Poor sleep quality was defined as a total PSQI score of 5 or higher. Results: Participants’ mean age was 33.20±6.81 years (range, 20.0-61.0), and 63.0% were women. The median work experience was 8.54±6.30 years. Approximately 6.3% had chronic comorbidities, such as hypertension and diabetes mellitus. About 59.5% were directly responsible for patient care and treatment, while 7.1% worked in tracing and sampling. A total of 73.8% reported poor sleep quality. Multivariate logistic regression revealed significant associations between poor sleep quality and the presence of chronic comorbidities (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.17 to 5.24), being a frontline HCW directly involved in patient care and treatment (OR, 1.59; 95% CI, 1.16 to 2.16), increased working hours (OR, 1.84; 95% CI,1.37 to 2.48), and a higher frequency of encountering critically ill and dying patients (OR, 1.42; 95% CI, 1.03 to 1.95). Conclusions The high prevalence of poor sleep among HCWs in Vietnam during the COVID-19 pandemic was similar to that in other countries. Working conditions should be adjusted to improve sleep quality among this population.