Utility of laboratory and immune biomarkers in predicting disease progression and mortality among patients with moderate to severe COVID-19 disease at a Philippine tertiary hospital.

Purpose: This study was performed to determine the clinical biomarkers and cytokines that may be associated with disease progression and in-hospital mortality in a cohort of hospitalized patients with RT-PCR confirmed moderate to severe COVID-19 infection from October 2020 to September 2021, during the first wave of COVID-19 pandemic before the advent of vaccination. Patients and methods: Clinical profile was obtained from the medical records. Laboratory parameters (complete blood count [CBC], albumin, LDH, CRP, ferritin, D-dimer, and procalcitonin) and serum concentrations of cytokines (IL-1ß, IL-2, IL-4, IL-6, IL-8, IL-10, IL-18, IFN-γ, IP-10, TNF-α) were measured on Days 0-3, 4-10, 11-14 and beyond Day 14 from the onset of illness. Regression analysis was done to determine the association of the clinical laboratory biomarkers and cytokines with the primary outcomes of disease progression and mortality. ROC curves were generated to determine the predictive performance of the cytokines. Results: We included 400 hospitalized patients with COVID-19 infection, 69% had severe to critical COVID-19 on admission. Disease progression occurred in 139 (35%) patients, while 18% of the total cohort died (73 out of 400). High D-dimer >1 µg/mL (RR 3.5 95%CI 1.83-6.69), elevated LDH >359.5 U/L (RR 1.85 95%CI 1.05-3.25), lymphopenia (RR 1.91 95%CI 1.14-3.19), and hypoalbuminemia (RR 2.67, 95%CI 1.05-6.78) were significantly associated with disease progression. High D-dimer (RR 3.95, 95%CI 1.62-9.61) and high LDH (RR 5.43, 95%CI 2.39-12.37) were also significantly associated with increased risk of in-hospital mortality. Nonsurvivors had significantly higher IP-10 levels at 0 to 3, 4 to 10, and 11 to 14 days from illness onset (p<0.01), IL-6 levels at 0 to 3 days of illness (p=0.03) and IL-18 levels at days 11-14 of illness (p<0.001) compared to survivors. IP-10 had the best predictive performance for disease progression at days 0-3 (AUC 0.81, 95%CI: 0.68-0.95), followed by IL-6 at 11-14 days of illness (AUC 0.67, 95%CI: 0.61-0.73). IP-10 predicted mortality at 11-14 days of illness (AUC 0.77, 95%CI: 0.70-0.84), and IL-6 beyond 14 days of illness (AUC 0.75, 95%CI: 0.68-0.82). Conclusion: Elevated D-dimer, elevated LDH, lymphopenia and hypoalbuminemia are prognostic markers of disease progression. High IP-10 and IL-6 within the 14 days of illness herald disease progression. Additionally, elevated D-dimer and LDH, high IP-10, IL-6 and IL-18 were also associated with mortality. Timely utilization of these biomarkers can guide clinical monitoring and management decisions for COVID-19 patients in the Philippines.

Landscape, barriers, and facilitators of scientific productivity in schizophrenia research in Southeast Asia: A bibliometric analysis.

Background: Schizophrenia research has significantly grown in the past years. However, there is no comprehensive evaluation of schizophrenia research publications from Southeast Asia (SEA). Thus, this study determined the characteristics and trends of published articles about schizophrenia in SEA through a bibliometric analysis. Methods: A database search on schizophrenia research in SEA countries was performed using the Scopus databases from 1973 to 2021. Bibliometric information was obtained from Scopus, and network visualization was conducted using VOSviewer software. Results: There were 1068 articles on schizophrenia from SEA from 1973 until 2021. Schizophrenia research outputs from SEA started to increase from 2000 onwards. Singapore, Malaysia, and Thailand were the most productive countries in schizophrenia research and had the most collaborations. Most schizophrenia research in SEA was published in Asia- or SEA-based journals. The research hotspots for schizophrenia in SEA included treatment, pathophysiology, symptomatology, and psychological and social aspects of schizophrenia. Lastly, correlation analysis showed that gross domestic product per capita, research and development (R&D) expenditures, number of researchers in R&D, number of physicians, and international research collaborations were significantly correlated with higher research productivity and scientific impact in schizophrenia research. Conclusion: In conclusion, this study showed the trends and gaps for research in SEA and the socioeconomic factors correlated with research productivity for schizophrenia in SEA. This study emphasized increasing financial support and collaborations for schizophrenia research to improve research productivity in schizophrenia in the SEA region.

Investigating the landscape and trajectory of spina bifida research in Asia: a bibliometric analysis.

BACKGROUND: Spina bifida is a type of a neural tube defect which affects 243.14 per 100,000 babies in Asia. Research articles on spina bifida have increased in the recent years. However, no study has focused on the research trends in this field in Asia. METHODS: A systematic review of literature on spina bifida in Asia was performed using the Scopus database from inception to 2020. All published studies on spina bifida conducted in or published by authors from Asia were included in our analysis. Bibliometric information was obtained from Scopus and bibliometrics diagrams were created using VOSviewer software. RESULTS: A total of 652 articles were obtained in this study. The number of publications showed an upward trend starting 2000s. The country with the greatest number of publications was Japan while All India Institute of Medical Sciences was the most productive institution in spina bifida research in Asia. The current focus of this field in Asia was prevalence of spina bifida, prenatal diagnosis, folic acid supplementation, and complications of spina bifida. Future areas of research in spina bifida include the genetic basis of neural tube defects and the use of stem cell technology as therapies for spina bifida. CONCLUSION: This is the first bibliometric analysis on spina bifida in Asia. It showed the trend and future areas of research on spina bifida in Asia. Despite the increase in scientific literature on spina bifida research, more research outputs and collaborations are needed especially in developing countries in Asia.

Research trends in gestational diabetes mellitus in Southeast Asia: A bibliometric analysis (1975-2020).

AIMS: To determine the characteristics and trends of published articles in the field of gestational diabetes mellitus (GDM) in Southeast Asia (SEA) through a bibliometric analysis. METHODS: Systematic review of literature on GDM in SEA countries was performed using the Ovid MEDLINE®, Scopus, and WPRIM databases between 1975 and 2020. All published studies on GDM conducted in or published by authors from any SEA country were included in our analysis. Bibliometric information was obtained from Scopus and bibliometrics diagrams were created using VOSviewer software. RESULTS: A total of 322 articles were obtained in this study. The number of publications showed an upward trend starting 2011. The country with the greatest number of publications was Malaysia while The National University of Singapore was the most productive institution in GDM research in SEA. The focus of GDM research in SEA were on the prevalence, prevention, diagnosis, and pregnancy outcomes. GDP, research expenditure, and researchers per million people were positively correlated with research productivity and impact in GDM research in SEA. CONCLUSIONS: This is the first bibliometric analysis on GDM in SEA countries. GDM research in SEA continued to increase in the past years but still lagged behind that of other regions. The SEA countries should consider increasing support for research to produce substantial research that can serve as basis for evidence-based and locally applicable GDM interventions.