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All Journal Narra J Journal of Medical Science; Jurnal Ilmu Medis Rumah Sakit Umum Daerah dr. Zainoel Abidin, Banda Aceh
Gazali, Syahrul
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Dentistry Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health

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Plasma interleukin 6 as an outcome predictor of traumatic brain injury patients Ichwan, Khairunnisa; Gazali, Syahrul; Suherman, Suherman; Desiana, Desiana; Nurjannah, Nurjannah
Narra J Vol. 3 No. 3 (2023): December 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v3i3.234

Abstract

Traumatic brain injury is one of the leading causes of death and disability in young adults. Previous studies have suggested that neuroinflammatory process involves the overexpression of interleukin 6 (IL-6); however, data on the predictive ability of IL-6 is limited and conflicting in traumatic head injury patients. The aim of this study was to assess the ability of plasma IL-6 as a predictor of outcome in head injury patients. A cross-sectional study was conducted between June and December 2020 among traumatic head injury patients admitted to Dr. Zainoel Abidin Hospital, Banda Aceh, Indonesia. Demographic, clinical data, and IL-6 level were collected and measured on admission. The outcome was assessed by the Glasgow outcome scale extended (GOSE) in the first- and third-month of post-injury. A total of 50 traumatic brain injury patients were recruited of which 54% were male, 64% had mild head injury, 82% had leukocytosis, and 60% had non-bleeding head CT scan. The mean of IL-6 level was 79.32 pg/mL while the GOSE scores ranged from 1 (death) to 8 (upper good recovery). Early IL-6 level (<24 hours post-injury) was significantly correlated with worse outcome in traumatic head injury, though the correlation strength was moderate (p<0.001; r=-0.42). As a predictor, IL-6 yielded the area under curve (AUC) value of 93.5% (p<0.001) and a cut-off point of 46.33 pg/mL. The sensitivity and specificity of this predictor were 87.5% and 95.24%, respectively. In conclusion, early IL-6 level can be used as a predictor for traumatic head injury. Nevertheless, further multi-center study with a bigger sample size is needed to confirm this finding.
Rancangan Aplikasi Stroke RSUDZA-USK: RSUDZA-USK Stroke Application Design gazali, syahrul; Melda Fitria; Junaidi
Journal of Medical Science Vol 5 No 2 (2024): Journal of Medical Science
Publisher : LITBANG RSUDZA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55572/jms.v5i1.136

Abstract

Angka kejadian stroke di Provinsi Aceh semakin meningkat setiap tahun nya. Dalam hal ini kasus stroke masih memiliki angka kesakitan, kecacatan dan kematian yang tinggi. Salah satu faktor yang mempengaruhi angka kejadian stroke yang terus meningkat adalah kurangnya pemahaman masyarakat tentang bagaimana gejala dini serangan stroke serta penanganan yang cepat dan tepat terhadap penyakit stroke tersebut sehingga seringkali pasien tidak mendapatkan tata laksana yang cepat dan tepat yang kemudian dapat berakibat fatal terhadap kondisi pasien tersebut. Tujuan penelitian ini adalah menciptakan aplikasi berbasis android yang diberi nama “Rancangan Aplikasi Stroke RSUDZA-USK” yang dapat melakukan diagnosis potensi seseorang mengalami stroke dan hasil diagnosis berupa suatu pernyataan atau kesimpulan potensi pasien mengalami stroke. Penggunaan aplikasi ini diharapkan dapat membantu masyarakat meningkatkan kecepatan kunjungan pasien dengan gejala stroke ke Rumah Sakit dengan onset stroke akut < 4,5 jam sehingga penanganan di Rumah Sakit secara cepat dan tepat dapat tercapai. Metode yang digunakan adalah Sistem Pakar, blackbox dan User Acceptance Test (UAT). Pada sistem pakar dan metode blackbox didapatkan hasil bahwa semua fitur maupun fungsi dari sistem berjalan sesuai dengan rancangan aplikasi. Pada metode UAT yang dilakukan pada 100 responden dari tenaga kesehatan dan masyarakat umum didapatkan hasil bahwa aplikasi ini memiliki tampilan yang menarik, menu diagnosis yang terdapat pada sistem aplikasi bermanfaat, informasi gejala penyakit mudah dipahami dan informatif, setuju jika aplikasi dipublikasikan ke dalam Playstore dan aplikasi stroke ini mudah digunakan.
Co-Authors Desiana Desiana, Desiana Ichwan, Khairunnisa Junaidi Junaidi Melda Fitria Nurjannah Nurjannah Suherman, Suherman