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All Journal Smart Medical Journal Jurnal Ilmiah Kesehatan (JIKA)
Sompa, Andi Weri
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Health Professions Medicine & Pharmacology Nursing Public Health

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Blood Urea Nitrogen-Serum Albumin Ratio As a Predictor of Clinical Outcome in Acute Ischemic Stroke Suseno, Endy; Akbar, Muhammad; Bintang, Andi Kurnia; Soraya, Gita Vita; Lotisna, Mimi; Sompa, Andi Weri
Jurnal Ilmiah Kesehatan (JIKA) Vol. 6 No. 1 (2024): Volume 6 Nomor 1 April 2024
Publisher : Sarana Ilmu Indonesia (salnesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36590/jika.v6i1.573

Abstract

Stroke is a global health issue with high morbidity and fatality rates. Treatment decisions for ischemic stroke rely on clinical outcome prediction. The NIHSS score is commonly used to predict the AIS's clinical outcomes. However, its use is hindered by its complexity, which requires the assessment of many variables. Therefore, there is an urgent need to develop a simpler yet still effective evaluation tool in assessing the AIS’s clinical outcome. The study aimed to predict AIS outcomes using the blood urea nitrogen to albumin serum ratio (RBA). This study was a prospective cohort study design, with subjects being first-time AIS patients hospitalized at RSUP Dr. Wahidin Sudirohusodo and several hospitals in Makassar from December 2022–April 2023. Demographic and clinical data were collected, assessing RBA and comparing it according to the good (mRS 0-2) and poor (mRS 3-6) outcome groups. RBA performance was assessed by receiver operating characteristic curve (ROC) analysis to assess the AIS's clinical outcome. The study's findings on 62 participants meeting the criteria revealed a significant association between RBA and the AIS's clinical outcome (p-value=0,0004). The mean RBA differed significantly between the good and poor AIS outcome groups (p-value =0,006). In the ROC analysis, the area under the curve (AUC) was 0,75 with an optimal cut-off value was 2,05, yielding a sensitivity of 41,67%, a specificity of 98%, and a likelihood ratio of 20,83 (p-value=0,007). In conclusion, RBA can be used as a simple and objective tool to determine the clinical outcome predictors of AIS.
Clinical Characteristic of Headache among Medical Students Experienced Online Learning in University during the Pandemic Febriza, Ami; Yusbar, Yushusna; Sompa, Andi Weri
Smart Medical Journal Vol 6, No 1 (2023): April
Publisher : Faculty of Medicine Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/smj.v6i1.68167

Abstract

Background: The lecture used online learning as an alternative method for minimizing the spreading covid-19 during pandemic. Headache is one of the very popular complaints during the medical education process, and it happens owing many physical or psychological stressors. It reported more common in medical students, notably during this online learning methods.Aim: This study aimed to evaluate the clinical characteristics of headaches and associated factors among medical students during online learning.Methods: A cross-sectional study was conducted at the University of Muhammadiyah Makassar from November 2021 to May 2022. A total of 220 medical students who have experienced forms of headache and had headache attacks during the past 1 years were included in this study. Respondents filled out a structured questionnaire, which consisted of demographic data, associated factors during online learning, and headache characteristics. Chi-square test was used to test the difference in proportion. All statistical test were considered as significant if p-value <0.05. The data obtained was processed using SPSS 23.Results: Body posture during online learning and lecture duration had a significant relationship with headaches' location, duration, and frequency (p-value < 0.05). Body posture during online learning, duration of lectures, and frequency of lectures significantly correlate with activity exacerbated headaches (p-value < 0.05). Body posture also significantly correlates with headache severity (p-value < 0.05).Conclusions: The results show that the clinical characteristics of headache are high in medical students that experience online learning during this pandemic situation.
Co-Authors Abdul Rahman Rahim Ami Febriza Andi Kurnia Bintang, Andi Kurnia Dito Anurogo, Dito Lotisna, Mimi Muhammad Akbar Soraya, Gita Vita Suarni, Agusdiwana Suseno, Endy Yusbar, Yushusna