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All Journal Jurnal Keperawatan Padjadjaran Majalah Kesehatan Indonesia Magna Neurologica
Baarid Luqman Hamidi
Universitas Sebelas Maret
Humanities Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health

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Hematomyelia Akibat Traumatic Lumbar yang Menyebabkan Syok Spinal: Sebuah Laporan Kasus Raden Andi Ario Tedjo; Lawly Arrel Dionnie Greatalya; Vivienne Tjung; Muhammad Hafizhan; Stefanus Erdana Putra; Suroto Suroto; Diah Kurnia Mirawati; Subandi Subandi; Rivan Danuaji; Pepi Budianto; Yetty Hambarsari; Baarid Luqman Hamidi; Hanindia Riani Prabaningtyas; Ervina Arta Jayanti Hutabarat; Ira Ristinawati; Teddy Tejomukti
Jurnal Keperawatan Padjadjaran Vol. 11 No. 3 (2023): Jurnal Keperawatan Padjadjaran
Publisher : Faculty of Nursing Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkp.v11i3.2352

Abstract

Background: Spinal cord hemorrhage or hematomyelia can arise from trauma or non-trauma causes, adverse effect of anticoagulation therapy and ruptured vascular malformation. Bleeding in epidural space is common and complications such as acute spinal cord syndrome can arise due to the compression and destruction of the spinal cord. Symptoms of hematomyelia might be varied depending on location of the lesion, often accompanied with acute radicular pain. In this case study, we reported a case of spinal shock after traumatic lumbar hematomyelia. Case: A 13-year-old girl presented to Dr. Moewardi General Hospital with inferior paraparesis, bladder and bowel incontinence, a day after falling on her gluteus. Physical examination revealed reduced motoric and sensory function below 12th thoracal dermatome, with no patellar and reduced Achilles reflexes. Conventional X-ray was unremarkable and further investigation with MRI showed a hematoma on thoracal 10 to 12 vertebrae. Motor and sensory functions were improved after 12 days administration of corticosteroids and further improvement was seen almost immediately after decompression surgery. Objective: To describe a case of spinal shock caused by traumatic lumbar hematomyelia Method: This is a case report study describing spinal shock which improved after administration of corticosteroid and decompression surgery. Conclusion: Spinal shock could be caused by traumatic lumbar hematomyelia, which is characterized by loss of motor, sensory, and bladder function, and decompression surgery improved the prognosis.
Correlation between Neutrophil/Lymphocyte Ratio (NLR), lipid profile, lesion location and vascular cognitive impairment in acute ischemic stroke patients Ira Ristinawati; Kenneth Tan; Benedictus Benedictus; Muhammad Hafizhan; Stefanus Erdana Putra; Suroto Suroto; Diah Kurnia Mirawati; Subandi Subandi; Rivan Danuaji; Pepi Budianto; Yetty Hambarsari; Baarid Luqman Hamidi; Hanindia Riani Prabaningtyas; Ervina Arta Jayanti Hutabarat; Teddy Tejomukti; Raden Andi Ario Tedjo
Jurnal Keperawatan Padjadjaran Vol. 12 No. 2 (2024): Jurnal Keperawatan Padjadjaran
Publisher : Faculty of Nursing Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkp.v12i2.2526

Abstract

Background: Stroke is the leading cause of long-term disability with significant clinical and socioeconomic impact worldwide. Hyperlipidemia and inflammation play major roles in ischemic stroke. This research focuses on the correlation of three factors, namely Neutrophil-Lymphocyte Ratio (NLR), lipid profile, and lesion location, with Vascular Cognitive Impairment (VCI). These factors may serve as potential predictors for VCI. Purpose: This research aims to study the correlation between NLR, lipid profile, and lesion location with vascular cognitive impairment. Besides, this research aims to explore those potential biomarkers as predictors of vascular cognitive impairment. Methods: This was a cross-sectional study which included 107 patients diagnosed with ischemic stroke from February 2022 to January 2023 with a history of admission to the hospital within 72 hours. After signed an informed consent form, every patient had history taking, physical exam, lipid profile, routine blood test, Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment Indonesian Version (MoCA-Ina) on the first hospital day. Statistical tests were done with Spearman correlation method. Results: The data distribution was not normal for INR and MoCA-INA values (p<0.05).  Total cholesterol was insignificantly (p=0.092) correlated with MoCA-INA score with low correlation value (r=-0.293). HDL was significantly (p=0.035) correlated with MoCA-INA score with moderate correlation value (r=0.461). LDL was significantly (p=0.028) correlated with MoCA-INA score with low correlation value (r=-0.387). Triglycerides was insignificantly (p=0.440) correlated with MoCA-INA score with very weak correlation value (r=-0.137). NLR was significantly (p=0.015) correlated with MoCA-INA score with moderate correlation value (r=-0.412). Conclusions: Lipid profile is correlated with cognitive impairment in post stroke patients, with HDL being a protective factor, and LDL as risk factor. NLR was associated with worse cognitive function and LDL was directly proportional to NLR. Lesion location reporting was highly heterogeneous and more uniformed reporting is recommended for future research.
Early Warning System through Artificial Intelligence in Intensive Care: A Diagnostic Meta-Analysis of Mortality, Deterioration of Consciousness, and Neurological Outcome Stefanus Erdana Putra; Baarid Luqman Hamidi; Benedictus Benedictus; Muhammad Hafizhan; Tyasno Koeshermanto; Retnaningsih Retnaningsih; Abdulloh Machin
Majalah Kesehatan Indonesia Vol. 7 No. 3 (2026)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/makein.2026347

Abstract

Prognostication in neurocritical care remains challenging due to patient heterogeneity and the limitations of static conventional scores. This systematic review and meta-analysis evaluated the diagnostic accuracy of artificial intelligence (AI) models as retrospective predictive and prognostic frameworks, assessing their potential utility as clinical early warning systems (EWS). Conducted via PubMed, ScienceDirect, and SCOPUS per PRISMA guidelines, the study evaluated deterioration of consciousness, mortality, and neurological outcomes. Out of 20 included studies, 18 were meta-analyzed. For mortality prediction, AI demonstrated a pooled sensitivity of 0.569, specificity of 0.810, diagnostic odds ratio (DOR) of 9.620, and area under the curve (AUC) of 0.698. In predicting deterioration in consciousness, AI achieved a pooled sensitivity of 0.648, specificity of 0.901, DOR of 38.346, and AUC of 0.796. For neurological outcomes, the pooled sensitivity was 0.864, specificity 0.865, DOR 45.566, and AUC 0.858. AI models demonstrate high accuracy in predicting long-term neurological outcomes and acceptable performance in predicting short-term deterioration in consciousness, but remain highly limited and offer no clear advantage over conventional scoring for ICU mortality. These retrospective findings provide a robust foundation for future prospective designs, though widespread clinical integration is not yet warranted.
Morse Fall Scale As Clinical Predictor Of 3-Month Neurologic Function Recovery On Ischemic Stroke Patients: A Prospective Cohort Study Triono Agung Sakti; Baarid Luqman Hamidi; Hanindia Riani Prabaningtyas
Magna Neurologica Vol. 1 No. 1 (2023): January
Publisher : Department of Neurology Faculty of Medicine Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/magnaneurologica.v1i1.431

Abstract

Background: Stroke is a leading cause of death in developing countries. The Morse Fall Scale (MFS)'s use in predicting stroke clinical outcomes has not been extensively studied. This study aims to assess MFS's ability to predict neurological recovery in acute ischemic stroke patients within 3 months using the National Institutes of Health Stroke Scale (NIHSS). Methods: This prospective cohort study enrolled all individuals with acute ischemic stroke between September and November 2021. Patients' baseline data included their MFS and NIHSS scores, as well as their age, gender, weight, stroke location, and comorbidities. The NIHSS score was reassessed three months later. To identify NIHSS predictors, all baseline data will be analyzed. SPSS 22 was used to analyze the data. The local ethics committee approved the study. Results: Of the 164 patients who met the criteria, only 105 (mean age 59.09 [±11.65], male [58.1%], anterior location [88.6%]) reached the study end point. The average NIHSS score decreased from 9.14 (±1.70) to 6.27 (±1.92). Multiple linear regression showed only the MFS score (p = 0.000) accurately predicted the NIHSS by 0.059 (95% CI: 0.032–0.085, p = 0.000) at the study's conclusion. Discussion: Our investigation revealed that the baseline MFS score accurately predicted neurological improvement in patients who had suffered an ischemic stroke over a three-month period. It is considered that the greater risk of falling results in a delay in the patient's rehabilitation. Investigation with larger sample sizes and longer monitoring intervals are required to corroborate our findings.
Co-Authors ., Subandi Abdulloh Machin Benedictus Benedictus Benedictus Benedictus Budianto, Pepi Diah Kurnia Mirawati Ervina Arta Jayanti Hutabarat Hanindia Riani Prabaningtyas Hanindia Riani Prabaningtyas Ira Ristinawati Kenneth Tan Lawly Arrel Dionnie Greatalya Muhammad Hafizhan Muhammad Hafizhan Raden Andi Ario Tedjo Retnaningsih Retnaningsih Rivan Danuaji Stefanus Erdana Putra Stefanus Erdana Putra Suroto Suroto Teddy Tejomukti Triono Agung Sakti Tyasno Koeshermanto Vivienne Tjung Yetty Hambarsari