Jarot Subandono
Biochemistry Laboratory, Medical Faculty of Sebelas Maret University, Surakarta.

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Journal : Nexus Kedokteran Klinik

Hubungan Faktor Sosial Ekonomi dengan Kejadian Prolapsus Uteri di RSUD Dr. Moewardi Putra, Ivan Aristo Suprapto; Darto, .; Subandono, Jarot
Nexus Kedokteran Klinik Vol 2, No 3 (2013): Nexus Kedokteran Klinik
Publisher : Fakultas Kedokteran Universitas Sebelas Maret Surakarta

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Abstract

Background: Socioeconomic factors in Indonesian citizen was different on every person. Especially on work, many variants of works would cause on variants of workload. On the other side, work varied effect on different income. Earnings would affect on the food consumed. Low collagen contained food intake could affect the low level of collagen. Risk factors for uterine prolapse was higher workload, higher parity and lower collagen level. Methods: This research was an analytic obervational with case control design. Sampling technique was fixed disease sampling for the case group and random sampling for the control group. The research was conducted by interviewing a sample directly in the  obstetric clinic  Dr. Moewardi hospital The sample was 36 person, divided into 18 samples of group cases and 18 control group samples. Dependent variable was the incidence of uterine prolapse and independent variables were socioeconomic factor. Data were analyzed by chi-square test then followed by multivariate analyse  logistic regression. Results: Distribution characteristics of uterine prolapse by age most results were in the age of 40-49 (16.67%). Based on the results, the highest number of children was 4 children (16.7%). The test results with regression analysis showed significance between socioeconomic factors to the incidence of uterine prolapse. Workload had p = 0.017 and OR = 0.186, p = 0.039 whereas income., and OR = 7.208, 95% confidence interval. Nagelke R square of 38.2%. Conclusions: Socio economic factor include workload and income significantly affected incidence of uterine prolapse. Keywords: Socio-economic factors, workload, income, uterine prolapse 
Hubungan Hiperglikemia Dengan Kejadian Stroke Hemoragik Pada Pemeriksaan Multislice CT-Scan Kepala Tanpa Kontras Di RSUD DR. Moewardi Surakarta Christyan, Fernando Feliz; Widiastuti, .; Subandono, Jarot
Nexus Kedokteran Klinik Vol 3, No 1 (2014): Nexus Kedokteran Klinik
Publisher : Fakultas Kedokteran Universitas Sebelas Maret Surakarta

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Background: Stroke is the third most common cause of death in the world, with a high prevalence of death in low-and middle-income countries. Hyperglycemia has been associated with atherosclerotic lession resulting in cerebral aneurysm which can lead to hemorrhagic stroke. CT-Scan is considered sufficiently sensitive for detecting acute hemorrhage, as well as detecting mass lessions. The aim of this study was to determine the correlation between hyperglycemia and hemorrhagic stroke incident on noncontrast multislice CT-Scan of the head examination. Methods: This study was an observational study with the analytical approach to the subject of cross-sectional study. 70 subjects were selected by fixed- disease sampling methods. These subjects have been performed a noncontrast multislice CT-Scan of the head examination. Data was collected by reading the result of blood glucose level and CT-Scan of the head examination on patient’s medical record. Data were processed with Statistical Product and Service Solution (SPSS) 17.00 for Windows Results: Chi-Square models showed that X2 = 7,19 with 5% significancy. OR (Odds Ratio) in hemorrhagic stroke was 4,26 (CI 95% = 1,43-12,74). Patient with hyperglycemia increases the risk of getting hemorrhagic stroke  4,26 (4) times than patient without hyperglycemia. Conclusion: There is a correlation between hyperglycemia and hemorrhagic stroke incident. Keywords: hyperglycemia, hemorrhagic stroke, noncontrast head CT-Scan  
Hubungan Antara Hiperglikemi dengan Kejadian Infark Serebri pada Pemeriksaan Multi Slice CT-scan Kepala Tanpa Kontras di RSUD Dr. Moewardi Agustina, Siska Dewi; Widiastuti, .; Subandono, Jarot
Nexus Kedokteran Klinik Vol 3, No 1 (2014): Nexus Kedokteran Klinik
Publisher : Fakultas Kedokteran Universitas Sebelas Maret Surakarta

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Abstract

Background: In recent year, numerous studies reported that stress hyperglycemia has been shown to be a risk factor for neurocardiovascular disease, with high  risk of dying from coronary disease such as stroke.  Stroke is the third leading cause of death in the world, with a high prevalence of death in low-and middle-income countries. Hyperglycemia has been associated with increased cerebral lactate resulting in local brain tissue acidosis. It worsens mitochondrial function in the penumbra, the moderately ischemic tissue of the brain. CT-scans are considered sufficiently sensitive for detecting mass lesions, such as a brain mass or abscess, as well as detecting acute hemorrhage.  The aim of this study is to determine the relationship between hyperglycemia with cerebral infarction in non contrast  multi slice head CT-scan. Methods: This was an observational cross sectional study. A total of 70 subjects were selected by fixed disease sampling, they were patients who have been perfomed non contrast multi slice head CT-scan in Dr. Moewardi Hospital. Data were collected from the report result of non contrast multi slice head CT-scan and the result of glucose blood level on patiens’medical record.Data analysis used chi square models and were processed with Statistical Product and Service Solutions (SPSS) 17.00 for Windows. Results: This study showed a positive association and statistically significant between hyperglycemia with cerebral infarction (χ2 = 8,123; p<0.05) with moderate correlation strength. The result of OR (Odds Ratio) for cerebral infarction is 4,667 (CI 95% = 1,557 – 13.983). Confounding factor, e.g blood pressure and age  have been controlled. Conclusions: There is a significance association between hyperglycemia with cerebral infarction in multi slice head CT-scan noncontrast at Dr Moewardi Hospital . Keywords: Hyperglycemia, cerebral infarction, head CT-scan without contrast