The efficacy of black cumin seed (Nigella sativa) oil and hypoglycemic drug combination to reduce HbA1c level in patients with metabolic syndrome risk Abstract. Metabolic syndrome is a conditions caused by metabolic abnormalities include central obesity, atherogenic dyslipidemia, hypertension, and insulin resistance. HbA1c examination is required to study the long-term glycemic status and to prevent diabetic complications of metabolic syndrome. The purpose of this study is to determine the efficacy of black cumin seed (Nigella sativa) oil and hypoglycemic drug combination to reduce HbA1c level in patients with metabolic syndrome risk. This research performed using an experimental randomized single -blind controlled trial design. A total of 99 outpatients at the Jetis I Public Health Center, Yogyakarta, Indonesia with metabolic syndrome risk were divided into three groups: The control group received placebo and two treatment groups received black seed oil orally at dose of 1.5 mL/day and 3 mL/day, respectively, for 20 days. The clinical conditions such as blood pressure, pulse rate, BMI, blood glucose serum and HbA1c levels were examined on day 0 and 21. The results obtained were analyzed with one-way ANOVA test. The mean of HbA1c levels of all groups before treatment was higher than the normal values and there was no significant difference in HbA1c value on day 0. Administration of 1.5 and 3 mL/day of black seed oil for 20 days decreased (p<0.05) HbA1c levels. It can be concluded that administration of black cumin seed oil and hypoglycemic drug combination for 20 days in patients at risk of metabolic syndrome may reduce to HbA1c levels.

Keyword:hypertension motivational counseling SMS behavior compliance blood pressure DOI : 10.20885/JKKI.Vol7. Iss3.art3 Background: Patients with hypertension often fail to achieve treatment goals of controlling their blood pressure, hence they fall onto the condition of uncontrolled hypertension. In addition to counseling and patient-education programme, an enhanced methods of intervention is needed by pharmacist to increase patient adherence and commitment in taking antihypertension medicine. Motivational intervention has not been widely used by pharmacist in conducting pharmaceutical care to patients. Objective: This research is aimed to understand the effect of motivational counseling and short text messages (SMS) with adherence and behavioral changes in outpatient with hypertension at PKU Muhammadiyah Hospital Bantul, Yogyakarta. Methods: Sixty patients who meet the inclusion criteria was divided into two groups, which were experimental group (n=30) who received motivational counseling and SMS, and control group (n=30) who received usual care. Data was collected by interviews, behavioral questionaire, adherence questionaire using Morisky Medication Adherence Scale (MMAS), and blood pressure measurement according to the medical record. Results: Trans theoretical model (TTM) was used in this research. Stages of behavioral changes were divided into pre-contemplation, contemplation, preparation, and action. Result showed that pharmacist intervention, using motivational counseling and SMS as reminder, contribute to an increase of patient adherence and action stage of behavioral changes in the experimental group by 50% compared to 20% in the control group (p=0,035). Increase of adherence as much as 83,33% was seen in experimental group (p=0,000). A bigger decrease of systolic and diastolic blood pressure (SBP/DBP) was also seen in the experimental group compared to control group (SBP=15,37 vs 1,27mmHg), (DBP=6,73 vs 0,43 mmHg) on their second visits. Conclusion: Based on these results, it can be concluded that motivational counseling with SMS as a reminder and motivation by pharmacists in hypertensive patients give a positive influence on behavioral changes that improve adherence, and increase of systolic and diastolic blood pressure control.

In Indonesia, the prevalence of anemia during pregnancy increased from 37.1% in 2013 to 48.9% in 2018. It plays a significant part in elevated maternal mortality and perinatal rates. This research aimed to determine the influence of a brief counseling intervention by pharmacists based on the "5A" strategy that had been modified to include the knowledge, perceptions, and compliance of pregnant women with the recommended consumption of ferrous fumarate as anemia treatment and prevention. It is a quasi-experimental study with a pretest-posttest control group design. The data were collected prospectively from December 2018 to February 2019. The sample consisted of 26 respondents, divided into a control group and an intervention group. Each group comprised 13 pregnant women in their first and second trimester (ranging from 12 to 27 weeks). The knowledge, perceptions, and compliance in each group were measured on the first day of visit (Day 1; pretest) and Day 31 (posttest) after the intervention. The results showed a significant difference in average scores between the pretest and posttest in the intervention group (p<0.001 for knowledge, perceptions, and compliance parameters) but an insignificant difference in the control group (p=0.185, p=0.366, and p=0.111, respectively). Score difference or improvement was determined from the relative risk (RR) values of the three parameters (4. 55, 4.54, and 10.29, respectively, with p<0.50). As a conclusion, a brief counseling intervention based on the modified "5A" strategy can enhance the knowledge, perceptions, and compliance of first and second-trimester pregnant women at Jetis Community Health Center with the proper consumption of Fe fumarate as an iron supplement.

BackgroundBioinformatics data analysis often deals with additive mixtures of signals for which only class labels are known. Then, the overall goal is to estimate class related signals for data mining purposes. A convenient application is metabolic monitoring of patients using infrared spectroscopy. Within an infrared spectrum each single compound contributes quantitatively to the measurement.ResultsIn this work, we propose a novel factorization technique for additive signal factorization that allows learning from classified samples. We define a composed loss function for this task and analytically derive a closed form equation such that training a model reduces to searching for an optimal threshold vector. Our experiments, carried out on synthetic and clinical data, show a sensitivity of up to 0.958 and specificity of up to 0.841 for a 15-class problem of disease classification. Using class and regression information in parallel, our algorithm outperforms linear SVM for training cases having many classes and few data.ConclusionsThe presented factorization method provides a simple and generative model and, therefore, represents a first step towards predictive factorization methods.

BACKGROUND: Dried blood spot (DBS) sampling is a blood collection tool that uses a finger prick to obtain a blood drop on a dried blood spot card. It can be used for therapeutic drug monitoring, a method that uses blood drug concentrations to optimize individual treatment. DBS sampling is thought to be a simpler way of blood collection compared to venous sampling. The