Universitas Prima Indonesia: Open Journal Systems
Not a member yet
3326 research outputs found
Sort by
Recurrent flaccid paralysis due to hypokalemia as an unusual presentation of hypothyroidism
No full textBackground: Recurrent flaccid paralysis with low level of potassium can be found in hypokalemic periodic paralysis or thyrotoxic periodic paralysis. Hypokalemic Periodic paralysis associated with hypothyroidism is rare in the existing literature.
Case illustration: A 41-year-old man had been admitted to the emergency ward due to weakness of his lower extremities for 3 days before the admission. He had the same symptoms one year ago. Based on the physical examination, decreases in both muscle strength and physiological reflexes in lower extremities had been found. From laboratory examination, the serum potassium level had reduced up to 1,7 mmol/l, with high TSHs and normal T3 and T4 level. The nerve conduction studies had revealed normal limits. Following a potassium correction, the patient had shown improvement.
Discussion: In most cases, hypokalemic periodic paralysis is caused by pure hypokalemia or high thyroid hormone level in serum (as in thyrotoxic periodic paralysis). However, this patient was diagnosed as hypokalemic periodic paralysis with subclinical hypothyroidism. This case is therefore a very rare and unusual presentation of hypothyroidism. The relation between hypokalemic periodic paralysis and hypothyroidism remains unclear.
Conclusion: Hypokalemic periodic paralysis associated with hypothyroidism is rare and understanding about this condition has not been established thus far in the literature. Thyroid examination is needed for patients with hypokalemic periodic paralysis
Magnetic resonance imaging enhances the diagnosis of intra-articular osteochondroma in normal plain radiography
No full textOsteochondroma accounts for 10%–15% of primary bone tumors and typically develops extra-articularly from the metaphysis of long bones. However, its intra-articular occurrence presents substantial diagnostic challenges, particularly in radiologic evaluation. This report describes a 27-year-old man with a six-month history of left knee pain without prior trauma. Physical examination revealed no abnormalities, and laboratory parameters were within normal limits. Plain radiographs showed no detectable abnormalities and were interpreted as normal. In contrast, magnetic resonance imaging (MRI) demonstrated a distinct intra-articular lesion in the distal femoral intercondylar fossa, characterized by low signal intensity on T1-weighted images, high signal intensity on T2-weighted images, continuity with the epiphyseal bone, and preservation of a stalk, findings consistent with osteochondroma. Evidence of anterior cruciate ligament (ACL) impingement was also noted, but no features suggestive of malignant transformation were identified. The final diagnosis confirmed the presence of an intra-articular osteochondroma of the knee, verified by arthroscopic evaluation and histopathological examination. This case highlights the limitations of plain radiography for diagnosing intra-articular osteochondroma and emphasizes the essential role of MRI in establishing an accurate diagnosis and guiding appropriate management
Factors associated with uric acid levels in elderly: A cross-sectional study
No full textSustained elevated blood uric acid levels can lead to gout, a chronic inflammatory disease characterized by the deposition of uric acid crystals in the joints. Factors contributing to hyperuricemia include insufficient knowledge of risk factors and management, consumption of high-purine diets, and inadequate uric acid monitoring. Overweight and obesity are also frequently associated with increased uric acid production and reduced renal excretion. The aging process contributes to declining renal function, essential for uric acid elimination. This observational analytic cross-sectional study investigated the relationships between knowledge, nutritional status, and physical activity with blood uric acid levels in 30 elderly individuals at Hamparan Perak Health Center from March 5-19, 2025. Data were collected via questionnaires and analyzed using Chi-Square or Fisher Exact tests. The majority of respondents were female (73.3%) and aged 60-69 years (63.3%). Most had poor knowledge (56.7%) and high uric acid levels (63.3%). A significant relationship was found between knowledge (p=0.002) and nutritional status (p=0.000) with blood uric acid levels. However, no significant relationship was observed between physical activity levels and uric acid levels (p=0.125)
The Effectiveness of Green Bean and Spinach Juice in Increasing Breast Milk Production in Postpartum Mothers at PMB Sumiati, East Belitung 2025
No full textProduksi air susu ibu (ASI) merupakan proses fisiologis yang dipengaruhi oleh berbagai faktor, termasuk nutrisi ibu menyusui. Rendahnya produksi ASI pada ibu nifas masih menjadi permasalahan yang sering dijumpai dan berdampak pada keberhasilan pemberian ASI eksklusif. Penelitian ini bertujuan untuk mengetahui efektivitas sari kacang hijau dan sayur bayam dalam meningkatkan produksi ASI pada ibu nifas. Metode yang digunakan adalah studi kualitatif dengan pendekatan studi kasus, melibatkan dua partisipan yang dipilih melalui teknik purposive sampling. Masing-masing partisipan menerima intervensi berupa konsumsi sari kacang hijau dan sayur bayam selama sembilan hari. Pengukuran volume ASI dilakukan dengan gelas ukur setiap hari. Hasil penelitian menunjukkan peningkatan produksi ASI secara signifikan pada kedua intervensi. Volume ASI meningkat dari 20 ml menjadi 130 ml pada partisipan yang mengonsumsi sari kacang hijau, dan dari 20 ml menjadi 150 ml pada partisipan yang mengonsumsi sayur bayam. Perbedaan hasil ini menunjukkan bahwa keduanya efektif dalam meningkatkan produksi ASI, namun konsumsi sayur bayam memberikan hasil yang lebih tinggi. Kesimpulannya, sari kacang hijau dan sayur bayam dapat dijadikan alternatif terapi nutrisi komplementer dalam upaya peningkatan produksi ASI pada ibu nifas
Literature Review Of The Relationship Between Anemia In Pregnant Women And The Incidence Of Low Birth Weight
No full textAnemia occurs when there are not enough red blood cells to meet the body's physiological needs. Anemia in pregnant women can affect the likelihood of low birth weight babies (LBW). This article aims to find out the relationship between anemia in pregnant women and the incidence of low birth weight. The search method was carried out through online databases, such as Goggle Scholars and Pubmed which were in accordance with the inclusion criteria in 5 national journals and 5 international journals. The results of ten analyzes from five national journals and five international journals from 2019 to 2024 show that there is a link between anemia in pregnant women and the incidence of low birth weight babies (LBW). However, one journal stated that there was no association between anemia in pregnant women and the incidence of low birth weight babies (LBW)
The Relationship Between Parent-Adolescent Communication and Adolescents' Self-Protection Skills Against Sexual Violence in Medan City
No full textSexual violence is a forced sexual act without consent and has consequences for health problems, namely reproductive health, physical health, and mental health, which can be felt in the short and long term. It has become a global issue that requires immediate attention. This study aims to analyze the relationship between parent-adolescent communication and adolescents' ability to protect themselves against sexual violence in Medan City. The research employs a quantitative approach using a descriptive correlation method, involving 52 respondents-students in grades X and XI at MAS Al-Jamiyatul Washliyah school in Medan City-selected through purposive sampling. The Chi-Square test was utilized for data analysis. Research data collection was carried out by distributing questionnaires using the google form application in May 2024, and computerized data processing using SPSS with univariate and bivariate data analysis. The findings revealed that 73.1% of respondents exhibited good parent-adolescent communication, 98.1% demonstrated effective self-protection skills, and 94.2% were considered at low risk of sexual violence. The results of the Chi-Square test indicated a significant relationship between parent-adolescent communication and the incidence of sexual violence, with a p-value of 0.003 (α = 0.05). However, there was no significant relationship found between adolescents' self-protection skills and the risk of sexual violence, as indicated by a p-value of 0.803 (α = 0.05). In conclusion, both parent-adolescent communication and self-protection skills are essential preventive measures against sexual violence. It is expected that schools can provide education related to the importance of parent-adolescent communication to prevent sexual violence
Design and Development of an Android-Based Application for Hydroponic Introduction and Learning Media
No full textLearning media will make it easier for people to learn hydroponic vegetable planting material compared to books because there are visualizations of images and videos so that it will be understood more quickly than just reading. Android is one of the open-source programming languages that allows makers to modify and distribute the results of making applications freely and freely. Developing learning media for hydroponic vegetable planting using Android will make it easier for readers because this application can be used anywhere without carrying more weight than books. In this learning media to be built, the advantages of this application are the visualization of attractive graphics, and simple decision support features related to the implementation of hydroponic farming, which includes capital and available land, as well as suitable plant species. The application has been successfully made, and based on the test results, it can be concluded that it can be appropriately used and produce results according to the design. The suggestions from this research are related to the application's appearance, which can still be developed to be more attractive.
Supply Chain Analysis in the Health Sector Using Gradient Boosting Regression Algorithm
No full textSupply chain analysis in healthcare is a crucial aspect in ensuring efficient and optimized resource distribution. This study uses the Gradient Boosting Regression algorithm to predict demand in healthcare supply chains to improve the accuracy of stock planning and management trained using supply datasets from hospitals. The model evaluation results show that most of the predictions are close to the actual values, as seen from the points clustered around the reference line. Despite the slight deviations, the Mean Absolute Error (MAE) value of 157.16 indicates that the average prediction error is relatively small compared to the demand scale which ranges from 0 to 14,000. This indicates that the Gradient Boosting Regression model performs reasonably well in estimating supply chain demand in the healthcare sector. Thus, this approach has the potential to be used in more accurate decision-making, in order to improve the efficiency of distribution and availability of health resource
Cardiac Abnormality Detection Using Adaptive Neuro-Fuzzy Inference System
No full textHeart defects are one of the leading causes of death worldwide, making early detection crucial to prevent more serious complications. Electrocardiogram signals are an important diagnostic tool that can be used to detect heart abnormalities in real-time. In this study, an Adaptive Neuro-Fuzzy Inference System artificial intelligence model is used to analyze ECG signal data and detect heart abnormalities early. The ECG signal data used was taken from 30 research subjects, then processed to reduce distracting noise. The combination of artificial neural networks and fuzzy systems aims to overcome the problem of uncertainty in ECG signal data. Thus, this method can be used as a solution that helps in the early diagnosis of heart disorders. The performance evaluation of the proposed Adaptive Neuro-Fuzzy Inference System revealed a perfect True Positive Rate of 1.0 on the Receiver Operating Characteristic (ROC) curve, demonstrating its exceptional ability to correctly identify all instances of cardiac abnormality within the dataset
EEG SIGNAL CLASSIFICATION FOR STRESS LEVEL DETECTION USING THE C4.5 METHOD
No full textStress is a common response to life's pressures that, if left untreated, can negatively impact physical and mental health. Accurately detecting and classifying stress levels is a significant challenge. Electroencephalography (EEG), as a non-invasive method, is capable of recording brain activity and representing a person's emotional state, including stress levels. However, the complexity of EEG data requires effective classification techniques. This study aims to develop a stress level classification system based on EEG signals using the Decision Tree C4.5 method. The EEG dataset was taken from Binjai Prison, with inputs in the form of brain waves (Delta, Theta, Alpha, Beta1, Beta2) and values from various electrodes. The output is a stress classification into three categories: stressed, relaxed, and neutral. The results show that the C4.5 method is able to classify stress levels with 98.68% accuracy, an average precision of 99.19%, and an average recall of 96.29%. The beta2 feature is the most dominant attribute, followed by theta and beta1. Thus, the C4.5 method shows good performance and provides clear interpretation in classifying stress levels based on EEG signals