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All Journal Eksakta : Berkala Ilmiah Bidang MIPA Muhammadiyah Medical Journal
Shinta Dewi Permata Sari
Department of Pharmacology and Therapeutics, Faculty of Medicine, Universitas Muhammadiyah Prof. DR. HAMKA, Tangerang, Indonesia
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Energy Engineering Environmental Science Immunology & microbiology Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health

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Evaluation of Drug Interaction Potential and Influencing Factors in Patients with Type 2 Diabetes Mellitus with Comorbid Hypertension Qoyimatul Adilah; Yolanda Safitri; Shinta Dewi Permata Sari
Muhammadiyah Medical Journal Vol. 7 No. 1 (2026): Muhammadiyah Medical Journal (MMJ)
Publisher : Faculty of Medicine and Health Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/mmj.7.1.52-62

Abstract

Background: Diabetes mellitus type 2 (DMT2) patients with hypertension are often prescribed multiple medications simultaneously, increasing the risk of drug interactions, which potentially cause adverse effects and impact patient outcomes. Consequently, potential drug interactions should be identified to improve drug safety. Purposes: This study aims to analyze potential drug interactions and investigate the associated factors in DMT2 patients with hypertension and other comorbidities. Methods: This observational, analytical study with a cross-sectional design collected data from the medical records of 107 patients at Jakarta Islamic Hospital Pondok Kopi from October 2022 to October 2023. Potential drug interactions were identified using Lexicomp software, and statistical analysis was conducted using the chi-squared and Fisher’s exact tests. Results: A total of 310 potential drug interactions were identified in 107 prescriptions (95.3%), with the most frequent drug combination being glimepiride-metformin (4.9%). The severity of potential drug interactions was classified as moderate (78.8%), minor (13.8%), and major (2.8%), and the potential drug interaction mechanisms were dominated by pharmacodynamic mechanisms (81.5%). The number of medications was found to be the only factor that significantly influenced potential drug interactions (p<.05). Polypharmacy increased the risk of potential drug interactions 6.7 times over non-polypharmacy prescriptions. The most prevalent drug interaction, between glimepiride and metformin, was classified as moderately severe, with pharmacodynamics being the primary mechanism. Conclusion: This study concluded that the number of drugs was the sole factor influencing the occurrence of potential drug interactions in this population.
The Spectrum of Severity: Clinical and Hematological Markers in Jakarta’s COVID-19 Patients Erlin Listiyaningsih; Shinta Dewi Permata Sari; Dewi Martalena; Wawang Sukarya
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 27 No. 02 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol27-iss02/660

Abstract

Jakarta, a densely populated megacity with high hybrid immunity, presents a unique epidemiological landscape for COVID-19. Understanding the clinical and hematological markers in this context is vital for improving clinical management. This study aims to analyze the clinical and hematological profiles of COVID-19 patients in Jakarta to identify markers associated with disease severity. This cross-sectional study analyzed secondary data from 100 confirmed COVID-19 patients (26 mild, 54 moderate, 20 severe) at two Jakarta hospitals. ANOVA and Kruskal-Wallis tests were employed to compare variables across severity groups, while categorical variables were analyzed using Chi-square tests. Significant associations with increasing severity were found for higher HR and RR. Among hematological parameters, basophil levels decreased significantly with higher severity. Although not statistically significant, trends of decreasing lymphocytes and platelets, alongside increasing blood glucose and neutrophils, were observed. Diabetes was the most prevalent comorbidity in severe cases. In conclusion, HR, RR, and basophils roles as significant markers of COVID-19 severity in our population. Trends in lymphocyte, thrombocyte, blood glucose, and diabetes prevalence, align with known patterns of severe disease with insignificant statistically, due to sample size limitations.
Co-Authors Dewi Martalena Erlin Listiyaningsih Qoyimatul Adilah Wawang Sukarya Yolanda Safitri