Jurnal Ilmu Medis Indonesia

Evaluation of Vaccine Storage and Quality in Independent Midwives Practice

2024-11-08T13:51:13+07:00

Purpose: A vaccine is a biological product that contains microorganisms that have been weakened or inactivated, but still have intact parts, or that have been modified into recombinant proteins, which are then combined with other substances. Vaccine storage involves the proper handling of received vaccines to ensure their safety and protect them from physical damage, thereby maintaining their quality according to established requirements until they are used. This study aimed to evaluate vaccine storage and quality in independent midwife’s practice.

Methodology: This study was a cross-sectional quantitative study. It was conducted at the Independent Midwife Practice (IMP) of the Muntilan 1 Public Health Center in the period of July 2024. Vaccine storage and quality were evaluated based on vaccine management guidelines in healthcare facilities.

Results: Vaccine storage at several Independent Midwives’ Practices (IMPs) in the working area of Muntilan 1 Public Health Center was inadequate. Based on the study results, the average storage compliance percentages at several IMPs were 83.3%, 50%, and 33.3%, respectively. Meanwhile, the average vaccine quality percentages were 100%, 96.8%, and 100%.

Conclusions: Vaccine storage practices at independent midwives’ practices were not fully compliant with national guidelines, although overall vaccine quality remained good based on VVM status, expiration checks, and shake tests. Strengthening monitoring and improving storage procedures are needed to ensure consistent vaccine safety.

Limitations: Some indicators are not relevant to each IMP; therefore, the indicators are not included in the research criteria.

Contributions: This study can help people in charge of storage, especially midwives in independent practices, improve vaccine quality.

Red Cell Distribution Width Predicts 30-Day Disability in Acute Ischemic Stroke

2026-01-04T21:00:35+07:00

Purpose: We assessed Red Cell Distribution Width (RDW) levels at hospital admission and determined whether RDW could serve as a predictor of disability prognosis in patients with acute ischemic stroke.

Research Methodology: A retrospective cohort study was conducted using data from the stroke registry at Bethesda Hospital, Yogyakarta. RDW levels were measured upon hospital admission. Functional disability at 30 days post-stroke was evaluated using the modified Rankin Scale and analyzed statistically.

Results: Elevated RDW levels were observed in 20.8% of patients. Receiver operating characteristic analysis identified an optimal RDW cutoff value of 14.15%, with an area under the curve of 0.689 (p=0.009). At 30 days after stroke onset, 20% of patients had poor functional outcomes. Bivariate analysis demonstrated a significant association between high RDW levels and poor disability outcomes (p=0.001; OR=14.333). Multivariate logistic regression analysis confirmed that elevated RDW was an independent predictor of 30-day post-stroke disability (OR=4.287; 95% CI: 2.036–9.029; p<0.001).

Conclusions: Elevated RDW at admission is significantly associated with poorer functional outcomes in patients with acute ischemic stroke and may serve as a useful prognostic biomarker.

Limitations: This study relied on secondary data, limiting control over patient conditions and measurement quality. The study population predominantly included mild-to-moderate stroke cases, and potential confounding factors, such as comorbidities, were not evaluated.

Contributions: These findings may enhance prognostic accuracy and support the development of clinical tools for predicting post-stroke disability.

Systematic Study of Multitarget Molecular Docking: from Polypharmacology to Tissue Pharmacology

2025-10-27T11:27:33+07:00

Purpose: This study describes the shift in modern drug discovery toward a computational systems-based paradigm, emphasizing multi-target molecular docking as a key strategy to unravel complex molecular interactions in biological systems.

Methods: A systematic literature review was conducted using publications from 2020 to 2025 retrieved from the PubMed, Scopus, ScienceDirect, and MDPI databases.

Results/findings: The analysis demonstrates that integrating molecular docking, Molecular Dynamics (MD) simulations, and network pharmacology enhances polypharmacology and drug repurposing strategies for complex diseases, such as diabetes, Alzheimer's, and viral infections. Bioactive compounds, including quercetin, luteolin, kaempferol, diosgenin, ?-amyrenone, and copper (II) complexes, target critical biological pathways (AGE–RAGE, NF-?B, STAT3–CASP3–HIF1A) and essential viral proteins.

Conclusions: The integration of multi-target molecular docking, network pharmacology, and AI-based drug design forms a new paradigm in modern drug discovery. This approach enables a systemic analysis of ligand–protein interactions, accelerates the identification of therapeutic targets, and improves the accuracy and efficiency of virtual screening. The combination of these three approaches strengthens the direction towards computational systems pharmacology, which supports data-driven and sustainable drug design.

Limitations: This study is based solely on existing computational data, without experimental validation to confirm the predicted interactions.

Contributions: This study highlights the integrative potential of multi-target molecular docking and network pharmacology as a bridge between computational prediction and experimental pharmacology. It offers a conceptual foundation for AI-assisted drug design and encourages future research on experimental validation and predictive modeling to optimize multitarget therapies.

The Application of Sobriety Test for Measuring Physical Fatigue and Hypertension in Employees

2025-09-08T09:39:03+07:00

Purpose: This study evaluated the sobriety test as a tool for measuring physical fatigue and hypertension in shift workers at PT. Maggala Alam Lesari, with a focus on sleep duration.

Research methodology: A descriptive quantitative study with a cross-sectional design was conducted with 50 shift workers selected through purposive sampling. The Sobriety test assessed physical fatigue, and blood pressure measurements identified hypertension. A sleep duration questionnaire was used to explore its impact on fatigue and hypertension.

Results: Of the 50 workers, 32 (65%) reported sleeping < 6 h per night, correlating with higher levels of physical fatigue. The average SBP of workers sleeping < 6 h per night was 141. mmHg (SD = 6.5), while those sleeping > 6 h per night had an average SBP of 133. mmHg (SD = 5.2). Forty percent of the participants were diagnosed with hypertension, with the majority reporting inadequate sleep.

Conclusions: The sobriety test effectively measured physical fatigue among shift workers. Shorter sleep duration was associated with higher levels of fatigue and increased hypertension, which could elevate the risk of cardiovascular diseases. Improving sleep quality is a critical intervention to enhance the health and well-being of shift workers.

Limitations: The cross-sectional design of the study limits the causal conclusions, and the sample size may not be fully representative.

Contributions: This study emphasizes the importance of sleep-in managing fatigue and hypertension, and provides insights for improving worker health.

The Association Between Nutritional Status and Physical Fitness of 1st Mulyosari Elementary School Students

2025-12-09T23:59:17+07:00

Purpose: Adequate nutritional intake is essential during the school-age period to support growth and development. In addition to fulfilling energy requirements, nutrient-rich foods contribute to the proper development of body tissues. When the diet lacks sufficient essential nutrients, and this condition persists over time, the growth of muscles and bones may be impaired, ultimately influencing an individual’s level of physical fitness.

Methodology/approach: This study utilized a cross-sectional design with the chi-square test. A total of 95 respondents satisfied the established inclusion and exclusion criteria.

Results: Of the respondents, 24 (25.3%) were classified as obese based on Body Mass Index (BMI), 46 (48.4%) had normal BMI, and 25 (26.3%) had underweight BMI. Regarding physical fitness, 20 (21.1%) respondents were categorized as having poor fitness, 20 (21.1 %) had moderate fitness, and 55 (57.9%) demonstrated good physical fitness. The analysis yielded a p-value of p < 0.001, which is p < 0.050.

Conclusions: This study found a relationship between nutritional status and physical fitness among elementary school students.

Limitations: This study had limitations owing to its relatively small sample size and the use of a cross-sectional design, which does not allow us to determine causal links between nutritional status and physical fitness.

Contributions: This study offers valuable insights into the relationship between nutritional status and physical fitness. The findings may facilitate the early identification of nutrition-related fitness problems and serve as supporting evidence for school-based and health program interventions.

Literature Review: Exploration of Natural Compounds for the Development of SARS-CoV2 Antiviruses through Docking-ADMET

2025-10-15T10:26:19+07:00

Purpose: This study aimed to investigate the antiviral potential of natural compounds against SARS-CoV-2 using an in-silico approach. The objective was to identify bioactive molecules from medicinal plants that effectively interact with viral target proteins and exhibit favorable pharmacokinetic and toxicity profiles.

Methodology/Approach: A systematic literature review was conducted on publications from 2020 to 2025 obtained from PubMed, ScienceDirect, and Google Scholar. Studies applying molecular docking and ADMET prediction targeting key SARS-CoV-2 proteins–namely, Mpro, PLpro, RdRp, and TMPRSS2–were selected. Docking simulations were performed using AutoDock Vina, AutoDockTools, and PyRx, and ADMET parameters were analyzed using SwissADME, pkCSM, admetSAR, and ProTox.

Results/Findings: Several compounds, including ginsenoside Rg2, azadirachtin A, Epigallocatechin Gallate (EGCG), curcumin, betulinic acid, and epicatechin-3-O-gallate, showed high binding affinities (-8. to-10. kcal/mol) and favorable pharmacokinetic and safety profiles, suggesting strong antiviral potential.

Limitations: This study is limited to computational predictions without experimental validation. Consequently, the biological efficacy of the compounds remains theoretical and requires further confirmation.

Contributions: This study integrates molecular docking and ADMET analysis to provide a comprehensive understanding of natural compounds as antiviral agents. It contributes to the development of safe, plant-based therapeutics and supports future in vitro and in vivo research.

Conclusions: The findings confirm that the selected natural compounds possess promising inhibitory activity and acceptable safety against SARS-CoV-2. Validation through experimental and clinical studies is necessary to establish their pharmacological potential.