Objectives: This study aimed to determine the prevalence of severe dengue and examine the associations between pre-existing comorbidities and disease severity. Methods: This retrospective study examined patients with dengue fever who received inpatient treatment at a hospital in northern Vietnam between January 1, 2022, and December 30, 2024.Patients were categorized into 2 groups—severe dengue and non-severe dengue—based on the 2009 World Health Organization criteria. Multivariable logistic regression was performed to assess factors associated with severe dengue. Results: Among 3,692 patients, the prevalence of severe dengue was 1.5%. Patients with any pre-existing comorbidity had higher odds of severe dengue compared to those withoutcomorbidities (adjusted odds ratio [aOR], 2.06; 95% confidence interval [CI], 1.20–3.53). Having2 or more comorbidities was also associated with higher odds of severe dengue (aOR, 2.26; 95%CI, 1.18–4.33). Among individual conditions, hyperlipidemia was associated with severe dengue (aOR, 2.32; 95% CI, 1.17–4.81). Certain combinations of comorbidities, including hypertension with hyperlipidemia (aOR, 2.88; 95% CI, 1.39–5.97), hypertension with cardiac disease (aOR, 4.39; 95% CI, 1.30–14.79), and hyperlipidemia with cardiac disease (aOR, 4.02; 95% CI, 1.19–13.53),were also associated with higher odds of severe dengue. Conclusion Pre-existing comorbidities, particularly cardiometabolic conditions, wereassociated with higher odds of severe dengue. Considering comorbidity profiles at hospitaladmission may help identify patients who require closer clinical monitoring.

Objectives: This study was conducted to investigate the prevalence of mental health (MH) symptoms and associated factors among medical students who were engaged in combating the coronavirus disease 2019 (COVID-19) epidemic in 4 provinces/cities of Vietnam. Methods: A cross-sectional study with 580 participants was conducted at a medical university in Northern Vietnam. MH was assessed using the 21-item Depression, Anxiety, and Stress Scale, which was previously standardized in Vietnam. Data were collected through a structured self-administered questionnaire. Multivariate logistic regression was employed to examine the association between MH symptoms and relevant factors. Results: Out of a total of 2703 medical students, 21.5% responded to the questionnaire. Among the 580 respondents, the prevalence rates of depression, anxiety, and stress were 43.3%, 44.0%, and 24.7%, respectively. Factors significantly associated with self-reported depression included being female and having a COVID-19 infection. Similarly, being female and having a COVID-19 infection were significantly associated with self-reported anxiety. Factors associated with self-reported stress included being female, having a personal or family history of MH symptoms, working more than 8 hr/day, and having a COVID-19 infection. Conclusions COVID-19 has adversely impacted the MH of medical students. Our findings are valuable in their potential to motivate universities, MH professionals, and authorities to offer mental healthcare services to this group. Furthermore, there is a pressing need for training courses designed to equip future healthcare workers with the skills to manage crises effectively.

Objectives: This study was conducted to characterize the symptoms, mental health, quality of life (QoL), and associated factors following the coronavirus disease 2019 (COVID-19) infection. Methods: This cross-sectional study included 394 participants previously infected with COVID-19 in Ho Chi Minh City, Vietnam. Mental health was assessed using the 21-item Depression, Anxiety, and Stress Scale (DASS-21). Participants self-reported health-related QoL was measured with the EuroQol 5-Dimension 5-Level (EQ-5D-5L) scale. Results: Among the participants, 76.4% reported experiencing at least one symptom following COVID-19 infection. The most common symptoms were fatigue (42.1%), cognitive dysfunction (42.9%), and hair loss (27.9%). According to the DASS-21 results, the proportions of depression, anxiety, and stress were 28.7%, 26.4%, and 20.6%, respectively. The mean scores on the EQ-5D-5L and the EuroQol Visual Analog Scale were 0.94±0.11 and 84.20±13.11, respectively. Regarding QoL issues, the highest proportion of participants (32.7%) reported experiencing anxiety or depression, followed by pain or discomfort (25.4%). Multivariable logistic regression analysis revealed that factors associated with the presence of symptoms following COVID-19 infection included female (odds ratio [OR], 2.84; 95% confidence interval [CI], 1.65 to 4.91) and having QoL issues (OR, 3.25; 95% CI, 1.71 to 6.19). Conclusions The study investigated the prevalence rates of various symptoms following COVID-19 infection. These findings underscore the need to prioritize comprehensive care for individuals recovering from COVID-19 and to implement strategies to mitigate the long-term impact of the disease on mental health and QoL.