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All Journal Jurnal Ilmu Medis Indonesia
Kevin Aldenio Hatma Krista
Universitas Kristen Duta Wacana, Yogyakarta, Indonesia
Biochemistry, Genetics & Molecular Biology Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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Red Cell Distribution Width Predicts 30-Day Disability in Acute Ischemic Stroke Kevin Aldenio Hatma Krista; Rizaldy Taslim Pinzon; Saverina Nungky Dian Hapsari
Jurnal Ilmu Medis Indonesia Vol 5 No 2 (2026): Maret
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v5i2.6076

Abstract

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.
HoLEP vs TURP in Benign Prostatic Hyperplasia: A Systematic Review Kevin Aldenio Hatma Krista; Nur Budiono
Jurnal Ilmu Medis Indonesia Vol 5 No 2 (2026): Maret
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jimi.v5i2.6452

Abstract

Purpose: This review evaluates the efficacy, safety, and durability of HoLEP versus TURP, addressing the research gap concerning their comparative long-term stability and performance across varying prostate volumes. The study focuses on functional outcomes, complication profiles, and the scalability of each technique. Research Methodology: A systematic search (2020–2025) identified RCTs and meta-analyses comparing HoLEP and TURP in BPH patients. Parameters analyzed included IPSS, Qmax, PVR, perioperative outcomes, and reoperation rates. Results: Both procedures show comparable functional gains. However, HoLEP offers a superior perioperative profile, significantly lower bleeding risk, and higher long-term durability. Furthermore, HoLEP’s efficacy is independent of prostate size, whereas TURP efficiency diminishes in larger glands. Conclusions: Despite a steeper learning curve, HoLEP’s safety and versatility position it as the primary modern surgical standard. TURP remains a relevant alternative depending on institutional facilities. Conclusions: Despite having a longer learning curve, HoLEP is worthy of consideration as the primary choice in modern surgical management of BPH, while TURP remains relevant in certain conditions and facilities. Limitations: Limitations of this systematic review are the heterogeneity of study designs, populations, and follow-up durations, which may affect the comparability of results. Contributions: This review provides a contemporary evidence-based guide for clinicians in selecting optimal surgical interventions.
Co-Authors Nur Budiono Rizaldy Taslim Pinzon Saverina Nungky Dian Hapsari