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Comparison of Lipid Profiles in Patients with Type 2 Diabetes Mellitus with Good Glycemic Control and Poor Glycemic Control in RSUD Dr. Saiful Anwar Malang Yudha, Nyoman Satvika Dharma; Arsana, Putu Moda; Rosandi, Rulli
Jurnal Penyakit Dalam Indonesia Vol. 8, No. 4
Publisher : UI Scholars Hub

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Abstract

Introduction. Diabetes mellitus (DM) is a group of metabolic diseases characterized by hyperglycemia due to insulin resistance, deficiency of insulin action, or both with a prevalence of 8.5% in Indonesia. Evidence regarding the relationship between HbA1c and lipid profile in type 2 DM is currently contradictory, therefore a study was conducted to examine the relationship between glycemic control and lipid profile for DM patients.Methods. This survey research was conducted at the outpatient endocrine clinic Dr. Saiful Anwar Malang Hospital in 2014-2019 with a total of 1,308 patients. Patients were then classified into type 2 DM patients with good (HbA1c < 7%, n = 291) and poor glycemic control (HbA1c > 7%, n = 1017).Results. There were lower levels of total cholesterol (183.9 (SD 38.7) mg/dl vs. 198.6 (SD 44.8) mg/dl; p < 0.001), triglycerides (144.2 (SD 67.5) mg/dl vs. 172.9 (SD 112) mg/dl; p < 0.001), and low-density lipoprotein (LDL-C) (119.2 (SD 32.1) mg/dl vs. 131 (SD 35.4) mg/dl; p < 0.001) in type 2 DM patients with good glycemic control compared to poor glycemic control group. There was no significant difference in high-density lipoprotein (HDL-C) levels between the two groups (47.7 (SD 13.4) mg/dl vs. 47.5 (SD 12.7) mg/dl; p = 0.89). There was a significant correlation between total cholesterol levels (r = 0.232; p < 0.001), triglycerides (r = 0.223; p < 0.001), and LDL-C (r = 0.20; p < 0.001) with HbA1c levels.173Jurnal Penyakit Dalam Indonesia | Vol. 8, No. 4 | Desember 2021|Perbandingan Profil Lipid pada Pasien Diabetes Melitus Tipe 2 dengan Kontrol Glikemik yang Terkendali dan Kontrol Glikemik yang Tidak Terkendali di RSUD Dr. Saiful Anwar Malang Conclusion. Type 2 DM patients with good glycemic control had significantly lower total cholesterol, triglycerides, and LDL-C levels compared to type 2 DM patients with poor glycemic control.
Association of Antiretroviral Regimens and CD4 Counts with Dyslipidemia in HIV Patients: Implications for Metabolic Management Rosandy, Milanitalia Gadys; Candradikusuma, Didi; Yudha, Nyoman Satvika Dharma
Indonesian Journal of Medicine Vol. 10 No. 1 (2025)
Publisher : Masters Program in Public Health, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/theijmed.2025.10.1.797

Abstract

Background: Dyslipidemia, a key risk factor for cardiovascular disease, is prevalent among people living with HIV/AIDS receiving antiretroviral therapy. This study aims to evaluate the impact of different ART regimens on lipid profiles in HIV patients and identify regimens with better outcomes in lipid profile levels. Subjects and Method: An observational study was conducted from June to August 2024 at Dr. Saiful Anwar Regional General Hospital, Malang, Indonesia. Participants were recruited using consecutive random sampling, including HIV patients on ART for at least three months. Independent variables included ART regimens and CD4 counts, while the dependent variable was dyslipidemia status. Data were collected via demographic forms, medical record reviews, and lipid profile analysis. Statistical analysis was performed using chi-square and t-tests, with significance set at p < 0.05. Results: Of the 110 participants, 38.2% were identified with dyslipidemia. The highest dyslipidemia rates were observed in patients using the Duviral Alluvial regimen (80.0%), followed by Duviral Neviral (71.4%). Newer regimens, TLD and TLE, were associated with lower dyslipidemia rates (31.3% and 36.0%, respectively; p = 0.045). A significant association was also noted between dyslipidemia and CD4 counts, with dyslipidemic patients showing higher mean CD4 counts (560.29 cells/μL) compared to non-dyslipidemic individuals (378.40 cells/μL; p = 0.009). Conclusion: Newer ART regimens such as TLD and TLE are associated with better lipid profile outcomes and lower dyslipidemia risk compared to older regimens. Higher CD4 counts may reflect an increased risk of lipid abnormalities, emphasizing the need for lipid monitoring and regimen optimization in HIV care.
The Relationship between HbA1c Levels and Microalbuminuria in Patients with Diabetes Mellitus at Primary Health Care Centers in Malang City Abdullah, Ali Juwaidi; Yudha, Nyoman Satvika Dharma; Raras, Tri Yudani Mardining
Clinical and Research Journal in Internal Medicine Vol. 7 No. 1: Volume 7 No 1, May 2026
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.crjim.2026.007.01.01

Abstract

Background: Gender disparities in health-related behaviors have significant implications for public health interventions. Aim: This comprehensive analysis aims to explore variations in smoking, alcohol consumption, physical activity, nutrition, and blood pressure between genders. Methods: In the Inter-University Consortium for Political and Social Research Study (ICPSR146521), data that had been gathered prospectively were used to assess the prevalence of metabolic syndrome, its risk factors, and the linked lifestyle in adult Myanmar inhabitants. Results: The study revealed noteworthy gender disparities in various health-related behaviors. Among passive smokers, no significant gender differences were observed. However, in active smokers, males exhibited notably higher rates than females. In the category of individuals who had never smoked, females predominated. For past smokers, females were more likely to have quit smoking successfully. Concerning alcohol consumption, males reported higher rates of past and current drinking, while females were more likely never to have consumed alcohol. Regarding physical activity, females were less likely to engage in exercise activities. Sedentary lifestyle patterns showed no significant gender differences. Conclusion: This analysis underscores the importance of recognizing gender-specific health-related behaviors and their implications. Understanding these differences is essential for tailoring effective public health strategies that address the unique needs and challenges faced by each gender. By acknowledging and addressing these disparities, healthcare providers and policymakers can develop more targeted interventions to promote healthy behaviors and reduce health inequalities. These findings provide a valuable foundation for further research and the development of gender-sensitive public health initiatives.
Analysis of User Experience and Patient Perceptions of an Artificial Intelligence (AI) Application for Diabetes Management: A Qualitative Study Yudha, Nyoman Satvika Dharma; Pratama, Mirza Zaka; Fajarpeni, Prisca Anindhita
Clinical and Research Journal in Internal Medicine Vol. 7 No. 1: Volume 7 No 1, May 2026
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.crjim.2026.007.01.09

Abstract

Background: Diabetes mellitus is a chronic condition requiring significant long-term self-management. Artificial Intelligence (AI) technology offers novel potential to support patients in their daily self-care routines. However, patient perceptions and real-world user experiences with these AI applications, particularly in low- and middle-income settings, remain understudied. Objective: To explore the user experience and perceptions of patients with diabetes and their caregivers using Inadia, a WhatsApp-based AI application designed for diabetes management in Indonesia. Methods: This study employed a descriptive qualitative design. Semi-structured in-depth interviews were conducted with six participants (patients with diabetes and caregivers) who were users of the Inadia application. Data were analyzed using the six-phase thematic analysis framework developed by Braun & Clarke. Ethical approval was obtained from an institutional review board, and all participants provided written informed consent. Results: Five major themes emerged from the analysis: (1) Usability and accessibility through the familiar WhatsApp interface; (2) The functional value and positive clinical–psychological impact of the application; (3) The critical influence of AI communication style and its perceived emotional sensitivity; (4) Technical challenges, primarily server delays, and user cost concerns; and (5) User-specific needs and expectations for future development. Conclusion: The Inadia application demonstrates significant promise in supporting diabetes self-management, largely due to its high accessibility via WhatsApp. However, its sustained success and long-term user adoption are critically dependent on resolving technical stability issues and, crucially, refining the AI’s communication style to be more emotionally supportive and encouraging.