This study identifies the risk factors for hepatitis B virus (HBV) and hepatitis C virus (HCV) and measures the prevalence of hepatitis B surface antigen (HBsAg) and antibody to hepatitis C (anti-HCV) in the general population of Jakarta. A population-based sample of 985 people aged 15 and above was surveyed. Risk factors were identified through questionnaires and home visits. Serum was analysed for HBsAg, antibody to hepatitis B surface antigen (anti-HBs), anti-HCV, aspartate aminotransferase (AST) and alanine aminotransferase (ALT). The seroprevalence was: 4.0% (39/985) for HBsAg, 17.2% (170/985) for anti-HBs, and 3.9% (38/985) for anti-HCV. The risk factors for hepatitis B and hepatitis C infection had little in common. Low socioeconomic status was a strong risk factor for HBsAg (adjusted odds ratio (OR) 18.09; 95% confidence interval (CI) 2.35-139.50). In addition, the Chinese group has 2.97 higher risk of having HBV infection compared with the Malayan ethnic group (adjusted OR 2.97; 95% CI 1.22-7.83). There was moderate positive trend between family size and risk of HBsAg positivity (P = 0.130). Age over 50 (adjusted OR 14.72; 95% CI 4.35-49.89) and history of transfusion were significant risk factors for hepatitis C (adjusted OR 3.03; 95% CI 1.25-7.33). Hepatitis B and hepatitis C infections have different risk factors in Jakarta, a high risk in population for both diseases. Hepatitis B transmission is associated with low socioeconomic status, Chinese ethnic group and large family size, while hepatitis C is associated with an older age and a history of transfusions.

OBJECTIVE:  The objectives of this study were to investigate the use of non‐invasive biochemical markers to evaluate the severity of liver fibrosis in patients with non‐alcoholic steatohepatitis (NASH). METHODS:  This was a cross‐sectional study of patients with histopathologically confirmed NASH between January 2005 and December 2006. The patients’ characteristics were recorded and the body mass index was calculated for each patient. All patients underwent ultrasound‐guided liver biopsy and a fibrosis assessment was performed using the Brunt criteria. The non‐invasive laboratory markers measured were insulin resistance, tumor necrosis factor (TNF‐α), type IV collagen and hyaluronic acid (HA). RESULTS:  Thirty patients were recruited, of whom 18 (60%) were men. Their mean age was 45 ± 13.9 (18–71) years. About 83% of patients had fibrosis stage 1–2. In bivariate analysis, age, TNF‐α and type IV collagen concentrations showed a weak but significant correlation with the fibrosis stage. When the patients were grouped into mild fibrosis (stages 1–2) and advanced fibrosis (stages 3–4), the mean concentrations of HA and type IV collagen were significantly higher in those with advanced fibrosis than those with mild fibrosis (180.8 ± 49.63 vs 543.6 ± 360.45 ng/mL; for HA; P = 0.026 and 125.3 ± 32.11 vs 288.0 ± 171.22 ng/mL for type IV collagen; P = 0.010). CONCLUSION:  Our study showed that the degree of liver fibrosis was significantly correlated with age, TNF‐α and type IV collagen concentrations. The level of HA and type IV collagen could differentiate between mild (F1–2) and advanced fibrosis (F3–4).

telah dimu/ai tahun 1997, bertujuan untuk memberi data bagi program pengendalian kanker dan membanlu perencanaan rumah sakit. Maka/ah ini menyajikan registrasi kanker sepanjang tahun 1997-1998. Data dari semua pasien kanker yang baru terdiagnosis dicatat pada Formulir Registrasi Kanker. Yang didata ialah identitas pasien, demografi dan kultur, penilaian tumor dan usia, serta penatalaksanaan. Terdapat 2144 (0.48%) penderita kanker diantara 444.178 pasien baru yang berobat ke RSCM. Perbandingan perempuan dan laki-laki ada/ah 1.7 : 1. Usia terbanyak pada perempuan ada/ah 35-44 tahun, pada /aki-laki 45-54 tahun. Usia ratarata saat terdiagnosis umumnya lebih muda dibanding senter lainnya. Pada perempuan, kanker terbanyak ada/ah lqmker serviks, disusul o/eh payudara dan nasofaring sedang pada /aki-/aki terbanyak nasofaring, sumsum tu/ang dan hati. Pada anak, terbanyak ada/ah leukemia limfositik akut, leukemia non limfositik akut, retinob/astoma dan nefroblastoma. Pendidikan penderita perempuan /ebih rendah dibanding /aki-laki. Perempuan penderita kanker serviks. kulit, sumsum tu/ang, kelenjar getah bening dan /aki-/aki penderita kanker sumsum tulang, kelenjar getah bening dan mata mempunyai pendidikan yang lebih rendah. Sebanyak 85% diagnosis ditegakkan secara mikroskopik. Jum/ah kanker stadium awa/ lebih rendah dibanding stadium /anjut (47% vs 53%). Pada tahun 1998 terapi awal yang paling banyak diberikan ada/ah berturut-turut radioterapi, bedah dan kemoterapi. Hanya 45% pasien yang mempero/eh terapi da/am 3 bu/an pertama sete/ah diagnosis.

AbstrakPasien pengguna obat-obatan sangat meningkat beberapa tahun terakhir ini. Telah

Background and Objective: Dyslipidemia is one of the most important risk factors for coronary heart disease with diabetes mellitus. Diabetic dyslipidemia is correlated with reduced concentrations of high-density lipoprotein cholesterol, elevated concentrations of plasma triglycerides, and increased concentrations of dense small particles of low-density lipoprotein cholesterol. Furthermore, dyslipidemia is one of the factors that accelerate renal failure in patients with nephropathy that is observed to be higher in these patients. This paper aims to propose the variable selection using the multilayer perceptron (MLP) neural network methodology before performing the multiple linear regression (MLR) modeling. Dataset consists of patient with Dyslipidemia, and Type 2 Diabetes Mellitus was selected to illustrate the design-build methodology. According to clinical expert's opinion and based on their assessment, these variables were chosen, which comprises the level of creatinine, urea, total cholesterol, uric acid, sodium, and HbA1c. Materials and Methods: At the first stage, all the selected variables will be a screen for their clinical important point of view, and it was found that creatinine has a significant relationship to the level of urea reading, a total of cholesterol reading, and the level of uric acid reading. By considering the level of significance, α = 0.05, these three variables are being selected and used for the input of the MLP model. Then, the MLR is being applied according to the best variable obtained through MLP process. Results: Through the testing/out-sample mean squared error (MSE), the performance of MLP was assessed. MSE is an indication of the distance from the actual findings from our estimates. The smallest MSE of the MLP shows the best variable selection combination in the model. Conclusion: In this research paper, we also provide the R syntax for MLP better illustration. The key factors associated with creatinine were urea, total cholesterol, and uric acid in patients with dyslipidemia and type 2 diabetes mellitus.