To describe the clinical profile and outcomes of hospitalized patients with coronavirus disease 2019 (COVID-19) across the spectrum of disease severity. This retrospective study included adult patients with confirmed COVID-19 infection admitted to a referral hospital. Descriptive statistics, tests for trend, Kaplan–Meier curve and log-rank test were used to compare characteristics and outcomes across disease severity categories. Of 1500 patients with COVID-19, 14.8% were asymptomatic, 13.5% had mild disease, 36.6% had moderate disease, 12.3% had severe disease and 22.7% had critical disease. Asymptomatic patients were admitted for a concurrent condition or for isolation. Patients aged >60 years, male gender and with co-morbidities had more severe disease. Fever, cough, shortness of breath, malaise, gastrointestinal symptoms and decreased sensorium were more common in patients with severe disease. Bilateral pulmonary infiltrates were common (51.1%), with sicker patients having more abnormal findings. The overall mortality rate was 15.1%. Adopting a symptom-based strategy reduced the length of hospitalization from a median of 13 [interquartile range (IQR) 7–21] days to 9 (IQR 5–14) days. The clinical profile and outcomes for this cohort of patients with COVID-19 was consistent with published reports. Asymptomatic infection was common, and universal testing may be a valuable strategy in the correct context, given the implications for infection control. A symptom-based strategy was found to reduce the length of hospitalization considerably.

The Covid-19 pandemic has compounded the challenge of HIV/AIDS elimination, creating difficulties in accessing HIV care services such as early testing and treatment. This paper characterized the global online interest in HIV care services-related search terms before and during the pandemic. Global online search interest for HIV was measured using the Google Trends™ database. Spearman’s rank-order correlation correlated country-specific characteristics and HIV prevalence data with the search volume index (SVI). We found a significant decrease in the global online search interest for HIV/AIDS care services-related search terms during the Covid-19 pandemic. The top countries with the highest online interest for “HIV/AIDS” search terms were Zambia, Eswatini, Malawi, Lesotho, and Zimbabwe. In addition, search volume indices for HIV correlated positively with HIV prevalence and negatively with GDP, GDP per capita, and the number of physicians. This result highlights that resource-poor countries with a high prevalence of HIV have a high online interest in HIV/AIDS. Therefore, there is a need to improve internet access, the quality of HIV-related health information, and online health literacy to improve health-seeking behavior, especially in areas with a high disease burden. Overall, our study shows that the infodemiologic approach through Google Trends™ can be used to assess the online interest of the public toward HIV infection and related healthcare services.

Viral hepatitis research has increased throughout the years. Thus, there is a need to understand the research landscape of viral hepatitis. In this paper, we conducted a bibliometric analysis to determine characteristics and trends of viral hepatitis research in Southeast Asia (SEA). A systematic review of literature of viral hepatitis in SEA was performed using Scopus. Bibliographic information and citation were obtained and VOSviewer software was used to visualize collaboration networks and keywords related to viral hepatitis. A total of 1943 articles was obtained from Scopus database. There was a general increase of viral hepatitis research on the region. Keyword analysis revealed that viral hepatitis research on SEA is mainly focused on evaluation of treatment, vaccines, and epidemiology of disease. Thailand, Singapore, and Malaysia are the highest generators of viral hepatitis research in SEA. International collaboration, research and development expenditure, gross domestic product, and numbers of researchers per million people were found to be correlated with productivity of viral hepatitis research in SEA. Our study highlighted the research characteristics of viral hepatitis research in SEA. Policy makers should promote collaboration and increase investment on research to bridge knowledge gaps required to eliminate viral hepatitis.

Human immunodeficiency virus (HIV) infection continues to present a global health issue. Recent studies have explored the potential role of the gut microbiome in HIV infection for novel therapeutic approaches. We investigated the gut microbiome composition of people living with HIV (PLHIV) in the Asia–Pacific region. This review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. An electronic search was conducted in the PubMed/MEDLINE, Scopus, and ScienceDirect databases using keywords such as “HIV”, “PLHIV”, “AIDS”, “gut microbiome”, “gut dysbiosis”, and “metagenomics”. Only peer-reviewed and full-text studies published in English were included. A total of 15 studies from the Asia–Pacific region were included for analysis. Compared to healthy controls, PLHIV showed an increased abundance of Proteobacteria and its genera, which may be considered pathobionts, and decreased abundances of Bacteroidetes and several genera under Firmicutes with known short-chain fatty acid and immunoregulatory activities. Predominant taxa such as Ruminococcaceae and Prevotellaceae were also associated with clinical factors such as CD4 count, the CD4/CD8 ratio, and inflammatory cytokines. This review highlights gut microbiome changes among PLHIV in the Asia–Pacific region, indicating potential bacterial signatures for prognostication. The partial restoration of the microbiome toward beneficial taxa may ensure the long-term success of treatment, promoting immune recovery while maintaining viral load suppression.

Background: Seafaring is a demanding profession that exposes individuals to unique health risks and challenges. This study investigates risk classification patterns among seafarers who underwent physical and medical examination at the Nordic Medical Clinic, a pre-employment clinic in the Philippines. Materials and methods: The analysis involved data obtained from medical records, including demographic information, diagnoses, medical risk classification, corresponding management, and occupational details. medical risk classification, based on guidelines from the Philippine Department of Labour and Employment, categorised fit to work seafarers into risk class A, B, or C. Descriptive statistics and statistical tests, with a significance level set at p < 0.05, were utilised for data analysis using R Studio (version 4.2.3). Results: The study population consisted of 11,831 seafarers seen at the Nordic Medical Clinic between 2018 and 2022. The results revealed a significant proportion of seafarers falling into higher risk classifications, with risk class C being the most prevalent at 48.16%. Pre-employment medical examinations (PEME) to fit to work duration demonstrated a significant association with risk classification, revealing that lower-risk classes had shorter fit-to-work times compared to higher-risk classes. Moreover, risk classification exhibited uneven distribution across specific demographic and occupational characteristics, with older seafarers, males, married individuals, and those in higher-ranking positions having a higher proportion of risk class C. Conclusions: Our findings highlight the need for comprehensive and customised pre-boarding medical screening standards for seafarers based on factors such as their specific role, vessel type, voyage, contract length, and work location. Moreover, health implementation of health promotion and preventive strategies that are based on the specific occupational and demographic needs of the seafarers are needed. Background: Seafaring is a demanding profession that exposes individuals to unique health risks and challenges. This study investigates risk classification patterns among seafarers who underwent physical and medical examination at the Nordic Medical Clinic, a pre-employment clinic in the Philippines. Materials and methods: The analysis involved data obtained from medical records, including demographic information, diagnoses, medical risk classification, corresponding management, and occupational details. medical risk classification, based on guidelines from the Philippine Department of Labour and Employment, categorised fit to work seafarers into risk class A, B, or C. Descriptive statistics and statistical tests, with a significance level set at p < 0.05, were utilised for data analysis using R Studio (version 4.2.3). Results: The study population consisted of 11,831 seafarers seen at the Nordic Medical Clinic between 2018 and 2022. The results revealed a significant proportion of seafarers falling into higher risk classifications, with risk class C being the most prevalent at 48.16%. Pre-employment medical examinations (PEME) to fit to work duration demonstrated a significant association with risk classification, revealing that lower-risk classes had shorter fit-to-work times compared to higher-risk classes. Moreover, risk classification exhibited uneven distribution across specific demographic and occupational characteristics, with older seafarers, males, married individuals, and those in higher-ranking positions having a higher proportion of risk class C. Conclusions: Our findings highlight the need for comprehensive and customised pre-boarding medical screening standards for seafarers based on factors such as their specific role, vessel type, voyage, contract length, and work location. Moreover, health implementation of health promotion and preventive strategies that are based on the specific occupational and demographic needs of the seafarers are needed.

The aim of this study was to determine the predictors of mortality and describe laboratory trends among adults with confirmed COVID-19. The medical records of adult patients admitted to a referral hospital with COVID-19 were retrospectively reviewed. Demographic and clinical characteristics, and laboratory parameters, were compared between survivors and non-survivors. Predictors of mortality were determined by multivariate analysis. Mean laboratory values were plotted across illness duration. Of 1215 patients, 203 (16.7%) had mild, 488 (40.2%) moderate, 183 (15.1%) severe, and 341 (28.1%) critical COVID-19 on admission. In-hospital mortality was 18.2% (0% mild, 6.1% moderate, 15.8% severe, 47.5% critical). Predictors of mortality were age ≥ 60 years, COPD, qSOFA score ≥ 2, WBC > 10 × 10⁹/L, absolute lymphocyte count < 1000, neutrophil ≥ 70%, PaO₂/FiO₂ ratio ≤ 200, eGFR < 90 mL/min/1.73 m², LDH > 600 U/L, and CRP > 12 mg/L. Non-survivors exhibited an increase in LDH and decreases in PaO₂/FiO₂ ratio and eGFR during the 2nd–3rd week of illness. The overall mortality rate was high. Predictors of mortality were similar to those of other reports globally. Marked inflammation and worsening pulmonary and renal function were evident among non-survivors by the 2nd–3rd week of illness.