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All Journal Lumina: Indonesian Journal of Neurology
Yusak Mangara Tua Siahaan
Department of Neurology, Faculty of Medicine, Pelita Harapan University – Siloam Hospitals Lippo Village, Tangerang, Banten, Indonesia

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Impact of Body Mass Index on Pain Severity in Lumbar Facet Arthropathy: An Observational Study Bella Chalista; Yusak Mangara Tua Siahaan; Tasya Pradhana
Lumina : Indonesian Journal of Neurology Vol. 1 No. 1 (2025): April : Lumina : Indonesian Journal of Neurology
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/lijn.v1i1.9855

Abstract

Background: Lumbar facet arthropathy is a common cause of chronic low back pain (LBP), with increasing evidence suggesting a link between obesity and pain severity. However, the relationship between body mass index (BMI) and pain intensity in facet-mediated LBP remains underexplored. Methods: A cross-sectional study was conducted on 50 patients aged 40–70 with clinically diagnosed lumbar facet arthropathy at Siloam General Hospital Lippo Village between February and June 2022. BMI was calculated and categorised per the WHO Asia-Pacific criteria. Pain severity was measured using the Numerical Rating Scale (NRS). Associations between BMI and pain severity were analysed using Chi-square or Fisher’s exact tests. Results: Most patients were female (52%) and aged 51–60 years (42%). Obesity was prevalent (46%), and 54% of participants experienced severe pain. A significant association was found between higher BMI and pain severity (p = 0.004), with overweight or obese patients having 8.73 times higher odds (95% CI: 2.04–37.30) of reporting severe pain compared to those with normal or underweight BMI. Discussion: These findings suggest a strong relationship between elevated BMI and increased pain severity in lumbar facet arthropathy. Potential mechanisms include increased mechanical loading and systemic inflammation mediated by adipokines. Conclusion: Higher BMI is significantly associated with greater pain severity in patients with lumbar facet arthropathy.
Ischemic Stroke Risk Factors in Siloam Lippo Village Teaching Hospital Astra Dea Simanungkalit; Chand Dhiraj Nagpal; Yesenia Tannu Martono; Yusak Mangara Tua Siahaan
Lumina : Indonesian Journal of Neurology Vol. 1 No. 1 (2025): April : Lumina : Indonesian Journal of Neurology
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/lijn.v1i1.9858

Abstract

Introduction: Acute ischemic stroke is the second leading cause of death worldwide and considered a major health problem leading to significant disability and mortality. Stroke Risk factors epidemiology various among population. This study conducted to identify stroke risk factors in Siloam Lippo Village, a secondary teaching hospital in Banten Province, Indonesia. Methods: This is a cross sectional study of acute ischemic stroke in the Stroke Unit of Siloam Lippo Village Teaching Hospital over a period of 3 months from January 2020 to March 2020. Data regarding the patients’ clinical profile, medical history and diagnostic test results were collected then analyzed using spreadsheet and SPSS version 21.0 software. Results: Forty-eight subjects met inclusion criteria in this study, 25 (52.08%) were male and 23 (47.92%) were female with a mean age of 58.16 ±12.02 years old. The most common risk factor for ischemic stroke in this study is hypertension (83,33%), followed by cigarettes smoking (45,83%), dyslipidemia (51,67%), diabetes mellitus (37,5%), previous stroke (37,5%) and history of heart disease (31,25%). More than 90% of subjects with hypertension and diabetes were uncontrolled. Conclusions: The most common risk factor for ischemic stroke in this study is hypertension and cigarettes smoking, while dyslipidemia, diabetes mellitus, previous stroke and history of heart disease found in more than one-third of the subjects. Uncontrolled status for hypertension and diabetes were more than 90%.
Lactate Dehydrogenase as A Potential Prognostic Biomarker in Subarachnoid Haemorrhage: A Systematic Review Yang Yang Endro Arjuna; Alexander Erick Purnomo; Jeremiah Hilkiah Wijaya; Mary Christina Elsa; Yusak Mangara Tua Siahaan; Made Agus Mahendra Inggas; Randra Frits Christopher; Michelle Gloria Setiawan; Haddiyya Wardhani Nugroho
Lumina : Indonesian Journal of Neurology Vol. 1 No. 1 (2025): April : Lumina : Indonesian Journal of Neurology
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/lijn.v1i1.9861

Abstract

Background: Subarachnoid haemorrhage (SAH) lacks specific prognostic blood markers, but lactate dehydrogenase (LDH), linked to cellular damage, shows potential for predicting adverse outcomes in SAH patients. Elevated LDH levels may reflect anaerobic metabolism and tissue injury following SAH, providing insight into disease severity and complications. This review explores the relationship between lactate dehydrogenase levels and outcomes in SAH patients. Method: A systematic review was conducted using PubMed, Europe PMC, ScienceDirect, and Google Scholar, searching for terms like "Lactate Dehydrogenase," "LDH," "Subarachnoid Haemorrhage," and "Outcome" up to March 3, 2025. Studies comparing LDH levels with Modified Rankin Score (mRS) and secondary outcomes such as Hunt-Hess grade, Fisher grade, complications, and mortality were included. Result: Seven studies involving 5,985 participants met inclusion criteria. Higher LDH levels correlated with worse mRS scores, increased delayed cerebral ischemia (DCI), postoperative pneumonia, severe Hunt-Hess and Fisher grades, and higher mortality. Using the ROBINS-I tool, four studies showed low risk of bias, and three had moderate risk. Discussion: Elevated LDH levels predict adverse outcomes in SAH, highlighting its prognostic value. As a marker of cellular damage and anaerobic metabolism, LDH reflects tissue injury and hypoxia post-SAH, explaining its link to complications like delayed cerebral ischemia (DCI) and pneumonia. This physiological basis supports its role in risk stratification, aiding early identification of high-risk patients for targeted interventions and improved outcomes. Conclusion: Early measurement of LDH levels after SAH onset may help predict patient outcomes and complications, aiding clinical decision-making and improving patient management strategies.
Co-Authors Alexander Erick Purnomo Astra Dea Simanungkalit Bella Chalista Chand Dhiraj Nagpal Haddiyya Wardhani Nugroho Jeremiah Hilkiah Wijaya Made Agus Mahendra Inggas Mary Christina Elsa Michelle Gloria Setiawan Randra Frits Christopher Tasya Pradhana Yang Yang Endro Arjuna Yesenia Tannu Martono