Browsing by Author "Masud, Abdullah A."

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    The Impact of Low Serum Magnesium Levels on COVID-19 Severity and Potential Therapeutic Benefits of Magnesium Supplementation: A Systematic Review
    (Springer Nature, 2025-01-08) Majumder, Mehrab Hasan; Sazzad, Sadman; Hasin, Rabeya; Brishti, Tasnim Jabbar; Tabassum, Fateha Nadia; Ahamed, Tanvir; Masud, Abdullah A.; Akter, Fahima; Biomedical Engineering and Informatics, Luddy School of Informatics, Computing, and Engineering
    In this review, our objective was to analyze the association between serum magnesium (Mg) levels, Mg supplementation, and coronavirus disease 2019 (COVID-19) outcomes. This systematic review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, searching major databases until February 2023. Twenty-six studies (11,363 patients) were included: 22 examining serum Mg levels (8474 patients) and four investigating Mg supplementations (2889 patients). Most studies indicated an association between lower serum Mg levels and increased COVID-19 severity, including higher mortality rates and prolonged recovery periods. Critical patients demonstrated significantly lower Mg levels compared to moderate/severe cases. However, some studies reported conflicting findings, with hypermagnesemia also associated with poor outcomes in specific patient populations. Regarding supplementation, higher dietary Mg intake correlated with shorter hospitalization duration and faster recovery. Mg supplementation exceeding 450 mg showed potential benefits, including increased antibody titers in pregnant women and reduced oxygen support requirements in elderly patients when combined with vitamins D and B12. While evidence suggests a potential relationship between Mg status and COVID-19 outcomes, findings are heterogeneous. Further investigation through well-designed clinical trials is required to gain deeper insights into the role of Mg in COVID-19 pathophysiology and the therapeutic potential of Mg supplementation.
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    Using Clinical Data Repositories to Assess the Clinical and Financial Burden of Disease: The Example of Mitral Regurgitation
    (OMICS, 2017) Khemka, Abhishek; Gradus-Pizlo, Irmina; Kovacs, Richard; Tu, Wanzhu; Hayden, Ross; Masud, Abdullah A.; Eckert, George J.; Tierney, William M.; Biostatistics, School of Public Health
    Although there have been tremendous advances in understanding various disease outcomes, there are significant gaps and the associated costs to investigate disease burden can be exorbitant. Clinical data repositories can be a valuable aid for analysing patient and disease characteristics in a faster and most cost-effective manner. We offer our own example, using mitral regurgitation as the illustration of a disease process that was identified through the use of a clinical data repository in a subset of patients, matched with a control population, and then analysed for clinical and financial factors. Increasing adoption of digital systems to store and analyse large volumes of data paired with incentives by the government and various health systems makes the current environment ripe for an explosion of big data to help guide clinical decision making.