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All Journal Jurnal Kedokteran dan Kesehatan : Publikasi Ilmiah Fakultas Kedokteran Universitas Sriwijaya Majalah Kedokteran Sriwijaya Biomedical Journal of Indonesia Paediatrica Indonesiana Majalah Patologi Indonesia Bioscientia Medicina : Journal of Biomedicine and Translational Research Sriwijaya Journal of Surgery Bioscientia Medicina : Journal of Biomedicine and Translational Research
Erial Bahar
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Biochemistry, Genetics & Molecular Biology Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health

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Accuracy of Bleeding Volume as a Predictor of Mortality in Epidural Hemorrhage Patients Undergoing Surgery at Dr. Mohammad Hoesin General Hospital, Palembang, Indonesia Stefiyan, Ferdi; Trijoso Permono; Erial Bahar
Sriwijaya Journal of Surgery Vol. 6 No. 2 (2023): Sriwijaya Journal of Surgery
Publisher : Surgery Department, Faculty of Medicine Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/sjs.v6i2.93

Abstract

Introduction: EDH is a collection of blood clots between the dura layer and the cranium. This is usually caused by rupture of the middle meningeal artery but can also be caused by rupture of the dural venous sinus, diploic vein, meningeal vein, or bleeding from the fracture line. CT scan is the investigation of choice to detect intracranial injury after trauma. CT scans can also identify additional features that influence the results, namely, midline shifting, blood clot thickness and hematoma volume, cerebral edema, and cranium fractures. This study aimed to determine the accuracy of bleeding volume as a predictor of mortality in epidural hemorrhage patients undergoing surgery at Dr. Mohammad Hoesin General Hospital, Palembang Indonesia. Methods: This study is a retrospective study of prognostic tests to determine the accuracy of bleeding volume as a predictor of mortality in patients with EDH who underwent surgery at Dr. Mohammad Hoesin General Hospital. This study uses secondary data obtained from medical record data at the medical records installation of Dr. Mohammad Hoesin General Hospital, Palembang, Indonesia. A total of 106 research subjects participated in this study. Results: The sensitivity value of bleeding volume was 77.7%, and specificity was 78.3%, and also obtained a positive predictive value of 7.21% and a negative predictive value of 97.4%, it can be concluded that bleeding volume is not accurate as a predictor of mortality. Conclusion: Bleeding volume is not an accurate predictor of mortality in epidural hemorrhage patients undergoing surgery at Dr. Mohammad Hoesin General Hospital, Palembang Indonesia.
Accuracy of D-dimer as a Predictive Biomarker for Outcome in Head Injured Patients at Dr. Mohammad Hoesin General Hospital, Palembang, Indonesia Masdiyanto, Gayuh Prastya; Agung Muda Patih; Erial Bahar
Sriwijaya Journal of Surgery Vol. 6 No. 2 (2023): Sriwijaya Journal of Surgery
Publisher : Surgery Department, Faculty of Medicine Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/sjs.v6i2.95

Abstract

Introduction: D-dimer reflects the upregulation of the overall hemostatic system upon admission. If D-dimer levels increase, coagulation disorders appear. This is considered a poor prognostic factor. High D-dimer levels reflect the severity of brain injury. Activation of systemic coagulation causes extensive intravascular fibrin deposition and a decrease in platelets and coagulation factors. This study aimed to assess the accuracy of D-dimer as a predictive biomarker for outcomes in head injury patients at Dr. Mohammad Hoesin General Hospital, Palembang, Indonesia. Methods: This study is a prospective prognostic test study to test the sensitivity and specificity of D-dimer for prediction mortality in patients with severe head injuries at Dr. Mohammad Hoesin General Hospital (RSMH) Palembang in the period June 2023 to August 2023. A total of 47 research subjects participated in this study. Results: Post 24-hour D-dimer levels have a cut-off point of 11.78 mg/L, which has high accuracy in poor outcomes. D-dimer levels after 5 days have a cut-off point value of 2.3 mg/L and have high sensitivity in predicting poor outcomes, and the value of the difference in changes in D-dimer based on poor outcome patients have a cut-off point of 3.33 mg/L, which has a high sensitivity in predicting a poor prognosis. Conclusion: D-dimer levels are quite accurate as a predictive biomarker for outcomes in head injury patients at Dr. Mohammad Hoesin General Hospital, Palembang, Indonesia.
Accuracy of Fat Mass and Muscle Mass Measured by Bioelectrical Impedance Analysis in Predicting Osteoporosis in Older Adults Riviati, Nur; Ari Dwi Prasetyo; Rizki Bastari; Surya Darma; Erial Bahar
Bioscientia Medicina : Journal of Biomedicine and Translational Research Vol. 9 No. 2 (2025): Bioscientia Medicina: Journal of Biomedicine & Translational Research
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/bsm.v9i2.1191

Abstract

Background: Osteoporosis is a prevalent bone disease characterized by reduced bone mineral density (BMD) and increased fracture risk. This study aimed to evaluate the accuracy of fat mass (FM) and muscle mass measured by bioelectrical impedance analysis (BIA) in predicting osteoporosis in older adults. Methods: A cross-sectional study was conducted on 109 outpatients aged 60 years and older. FM parameters (total fat mass, visceral fat level, and fat mass index [FMI]) and muscle mass parameters (total muscle mass, appendicular skeletal muscle mass [ASM], and appendicular skeletal muscle mass index [ASMI]) were measured using BIA. Osteoporosis was diagnosed based on BMD measurements using dual-energy X-ray absorptiometry (DXA). Receiver operating characteristic (ROC) curves were used to determine cut-off points and assess the accuracy of BIA parameters in predicting osteoporosis. Results: The prevalence of osteoporosis was 52.3% (n=57). The optimal cut-off points for predicting osteoporosis were: total fat mass >36.25%, visceral fat level >12.05, FMI >7.82 kg/m2, total muscle mass <37.82 kg, ASM <16.795 kg, and ASMI <6.895 kg/m2. Among the FM parameters, visceral fat level had the highest accuracy (AUC = 60.9%, sensitivity = 64.9%, specificity = 78.8%) while FMI had the lowest (AUC = 53.5%, sensitivity = 56.1%, specificity = 57.7%). For muscle mass parameters, ASM showed the highest accuracy (AUC = 74.0%, sensitivity = 70.2%, specificity = 76.9%). Conclusion: BIA-derived FM and muscle mass parameters, particularly visceral fat level and ASM can be used to predict osteoporosis in older adults with good accuracy. This non-invasive and accessible method may be useful as a screening tool for osteoporosis, especially in settings where DXA is unavailable.
Co-Authors Achirul Bakri Agung Muda Patih Agustine Tinambunan Ahmad Rasyid Ahmat Umar Ari Dwi Prasetyo Arie Hasiholan Lumban Tobing Aswin Nugraha Awan Rochaniawan Belly Sutopo Wijaya Citra Dewi Denny Satria Utama Devi Azri Wahyuni Dwiandi Susilo Eddy Roflin Eriza Eva Syahriana Fadhli Aufar Kasyfi Febria Restissa Fifie Julianita Gama Satria Guntur Bayu Bima Pratama Hapzi Ali Harief Seamaladi Hasri Salwan Henny Sulastri Ika Kartika Indah Yunalda Iqmal Perlianta Irene A. O. IRWANSYAH Isnada Isnada Istiqomah, Ridnia Nur Jayawarsa, A.A. Ketut Jusuf Fantoni Krisna Murti Krisna Murti Linda Fatrisia Luther Theng Masdiyanto, Gayuh Prastya Mediarty Muhammad Asprianto Muhammad Hasnawi Haddani Muhlisa, Safitri Nafila Mahida Sukmono Nia Elisa Ginting Nur Riviati, Nur Nurul Salmah Alia Dita Olivia Amanda Peter, Billy R.M. Aerul Chakra Alibasya R.M. Faisal Reizkhi Fitriyana Rizki Bastari Rusdi Ismail Shalita Dastamuar Sinaga, Maleakhi Hasudungan Sri Agustina, Sri Sri Handayani Stefiyan, Ferdi Subandrate Sugiharto, Henry Surya Darma Theresia Christin Trijoso Permono Valendra, Deo Wiria Aryanta Yoan Levia Magdi Yovalina R Yulianto kusnadi Yundari, Yundari Yusril Yusril Zainal R