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Efek Serbuk Eestrak Etanol Kelopak Bunga Rosella (Hibiscus sabdariffa L.) Terhadap Jumlah Sel CD4 Pada Sukarelawan Sehat Dini Mardhiyani; Endang Darmawan; Akrom Akrom
JURNAL ILMU KEFARMASIAN INDONESIA Vol 16 No 2 (2018): JIFI
Publisher : Fakultas Farmasi Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (373.335 KB) | DOI: 10.35814/jifi.v16i2.530

Abstract

Roselle flower (Hibiscus sabdariffa L.) is beneficial as an immunostimulant because of its antioxidant property. Antioxidants in roselle flower are hibiscus anthocyanin, quercetin, L-ascorbic acid and protocatechuic acid. Any potential plants for pytopharmacy should be proven beneficial and safe through preclinical and clinical trial. The purpose of this clinical trial was to determine the effect of ethanol extract of roselle (Hibiscus sabdariffa L.) to lymphocyte and CD4 cell count in healthy volunteer for 30 days. This study used pre-post treatment design. A total of 21 healthy volunteer were chosen according to inclusion and exclusion criteria and filled informed consent. Healthy volunteer were given 500 mg roselle ethanol extract powder every day for 30 days. Lymphocyte and CD4 cell count was conducted using hematology analyzer and flowcytometer. Results were analyzed using paired t test, if the distribution is not normal than Wilcoxon test will be used on 95% confidence interval. Results showed that there was no significant effect (p>0,05) of CD4 cell absolute count and there was a significant effect of CD4 percentage (p<0,05). Results on day 45 (14 days after the treatment was interrupted) showed no significant effect (p>0,05) of CD4 cell absolute count and CD4 cell percentage. The effect of CD4 cell percentage on day 31 was in normal range. This study concluded that 500 mg roselle petal ethanol extract powder (Hibiscus sabdariffa L.) given everyday for 30 days showed some effect on d increasing CD4 cell percentage.
Effect of consumption of vegetables and fruit on nitric oxide levels and T-glutathione levels in type 2 diabetes mellitus patients Prita Anggraini Kartika Sari; Endang Darmawan; Akrom Akrom
Pharmaciana Vol 12, No 2 (2022): Pharmaciana
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (339.145 KB) | DOI: 10.12928/pharmaciana.v12i2.23322

Abstract

Glutathione is an antioxidant that plays a role in preventing free radicals and reducing oxidative stress, including in patients with type 2 diabetes mellitus (DMT2). One of the factors that affect glutathione status is the individual's ability to produce glutathione and in diabetic patients, T-glutathione levels have decreased. This study aims to determine the effect of fruit and vegetable consumption habits on plasma levels of T-Glutathione. This research method is analytic observational with cross sectional findings, the sample used is 85 subjects in the form of archives of biological materials. Data on habits of consuming vegetables and fruits were collected through interviews, plasma T-GSH levels were determined biochemically using the Elabscience GSH Assay Kit and then analyzed using the Mann Whitney test. The results showed that the average plasma T-GSH levels in patients with the habit of consuming vegetables and fruit and those who did not, were 13.54 ± 3.34 mol/L and 12.73 ± 1.44 mol/L, respectively, but not found a significant difference relationship (p = 0.222). This study provides information that the habit of consuming vegetables and fruit does not provide a significant difference to plasma T-GSH levels in T2DM patients. But these habits still need to be done for health maintenance. Further research is needed that is more specific to the amount and type of certain vegetables and fruits consumed and how to cook them.
Kaplan Meier's Analysis of Clinical Improvement Of Defecation Frequency In Pediatrics Patient With Diarrhea That Given Vitamin D As Adjuvant Therapy Nurcholid Umam Kurniawan; Sutrimo Usali R; Endang Darmawan
Ahmad Dahlan Medical Journal Vol. 2 No. 1 (2021): May 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1101.567 KB) | DOI: 10.12928/admj.v2i1.3460

Abstract

Diarrhea is the second leading cause of death in children under 5 years after pneumonia with a mortality prevalence of 8%. Diarrhea is a digestive disease with signs of bowel movements with a sudden consistency of loose stools 3 times or more in 24 hours, mostly caused by microorganisms (bacteria and viruses). The cure rate for diarrhea after receiving fluid replacement therapy and antibiotics for diarrhea caused by bacteria is quite high, but the mortality rate due to diarrhea is still high, therefore there needs to be an effort to add therapy to improve patient clinical outcomes. Vitamin D is known to play a role in the body's defense function, both in natural and adaptive immunity and plays a role in the body's defense in cases of infections, allergies, and autoimmunity. This study is an experimental double blind randomized clinical trial which was analyzed using Kaplan Meier. The research subjects were children aged 6 months to 18 years who were divided into two groups, namely the treatment group (n = 35) and the control group (n = 35). The treatment group received vitamin D and for the control group received a placebo. The data taken includes the results of the frequency of defecation of patients. The results of this study indicate that vitamin D is effective in accelerating the reduction in the frequency of defecation in children with diarrhea.  Keywords: Diarrhea, Vitamin D, Defecation, Kaplan Meier
Cluster analysis of type II Diabetes Mellitus Patients with the Fuzzy C-means method Simeftiany Indrilemta Lomo; Endang Darmawan; Sugiyarto
Annals of Mathematical Modeling Vol. 3 No. 1 (2023)
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/amm.v3i1.28

Abstract

Cluster analysis has been widely used in the fields of mathematics and health sciences. This study aims to classify distance-based data which are divided into several clusters. Accurate prediction from the outcome or survival rate of diabetic patients can be the key for the stratification of prognosis and therapy. A retrospective study of 447 medical record data of type II diabetes mellitus patients aged 18 years old or above and were hospitalized in the PKU Muhammadiyah Gamping Hospital from 2015-2019. Clustering is using the PCA-Fuzzy C-Means method based on patients’ survival status, demographic characteristics, therapy, and blood glucose (BG) levels. Clustering evaluation by Davies Bouldin Index (DBI). Data analysis is using Jupyter Notebook programme. Cluster formation are first cluster consists of 171 members, second cluster consists of 9 members, third cluster consists of 267 members with DBI 2,2645. 401 patients (89,7%) were recorded as alive and 46 patients (10,3%) were recorded as dead. A total of 447 patients: 54,1% were male; 90,6% were ≥ 45 years old; 66,4% has comorbidities; 51,7% had BG level of more than 200 mg/dl, and 57,7% received combination insulin+oral antidiabetic therapy.