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Pauzi, Iswari
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Journal : Thrive Health Science Journal

 1 
Long Suffering Type 1 Diabetes Mellitus During Metabolic Acidosis on Positiveness of Ketones in Urine Patients Mahayani, I Gusti Ayu Putu Sachita; Urip, Urip; Khusuma, Ari; Pauzi, Iswari
THRIVE Health Science Journal Vol. 1 No. 1 (2024): March
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/thrive.v1i1.89

Abstract

Examination of ketones in the patient's urine and measuring the patient's blood sugar level will determine whether there will be metabolic acidosis in patients with type 1 diabetes mellitus, which is a metabolic disorder that can be caused by various etiologies, such as chronic hyperglycemia due to impaired insulin secretion or impaired insulin action. alone. Diabetes Mellitus type 1 itself is more caused by reduced insulin secretion due to damage to pancreatic -cells. This study was conducted to examine ketones in urine on the duration of suffering from type 1 diabetes mellitus when metabolic acidosis occurs Data collection in this study was carried out by accidental sampling method by researchers to collect secondary and primary data on urine ketones in patients with metabolic acidosis. Based on research that has been done, data obtained from 34 patients with type 1 diabetes mellitus at the Sigerongan Health Center, as many as 8 patients with positive results of urine ketones with a prevalence of +2 totaling 3 people and +3 totaling 5 people. Judging from the high level of glucose (hyperglycemia) that is > 200 mg/dl and the positivity of ketone bodies in the patient's urine as a sign of metabolic acidosis. With a long-susceptibility to suffer from diabetes mellitus 1-5 years and above. The results of measuring ketone levels in the patient's urine show that there is no relationship with the duration of suffering from diabetes mellitus in the urine but blood sugar levels.
Comparison of Fast and Time Blood Glucose Levels in Chronic Disease Management Program Patients (Proalnic) and Non-Prolanic with Diabetes Mellitus in Praya Health Center Aini, Miftahul; Tatontos, Erlin Yustin; Inayati, Nurul; Pauzi, Iswari
THRIVE Health Science Journal Vol. 1 No. 1 (2024): March
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/thrive.v1i1.92

Abstract

Glucose is the most important carbohydrate which is mostly absorbed into the bloodstream as glucose and other sugars are converted into glucose in the liver. Blood glucose levels are closely related to DM. Prolanic (Chronic Disease Management Program) is a health service system that involves participants from Health Facilities and BPJS health in the context of health care for participants suffering from chronic diseases including diabetes mellitus to achieve optimal quality of life with cost-effective and efficient health services. To determine the comparison of fasting and intermittent blood glucose levels in prolanic and non-prolanic patients suffering from DM at Praya Health Center. : This type of research is Analytical Observation, the sample is taken purposively. A sample of 30 respondents, in this study were 15 respondents who took prolanis and 15 respondents who did not follow prolanis who had a history of diabetes mellitus and underwent blood glucose level checks at the UPTD BLUD Laboratory of Praya Health Center. Based on research that has been done, the average fasting blood glucose level in prolanis is 158 mg/dl and fasting glucose is 204 mg/dl. Meanwhile, non-prolanic fasting glucose levels are 156 mg/dl and fasting glucose levels are 204 mg/dl.
The Effect of Long Suffering Diabetes Mellitus on Blood Ureum Levels Tasya, Rabaika Monica; Fihiruddin, Fihiruddin; Pauzi, Iswari
THRIVE Health Science Journal Vol. 1 No. 1 (2024): March
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/thrive.v1i1.94

Abstract

Diabetes mellitus is a disease characterized by increasing blood sugar levels caused by defective insulin secretion or action. Increased levels of sugar in the blood have a direct impact on the blood vessels in the kidneys. Such as decreasing the function of the kidney, the disturbing kidney function will increase the level of urea in the blood.To find out whether there is an effect of long-suffering from Diabetes mellitus on blood urea levels. This research is analytical observational research with a cross-sectional approach. The samples used Diabetes mellitus patients with variations in length suffering of 1-3 years, 4-6 years, and > 6 years. Data were collected and analyzed using Kruskal Wallis non-parametric statistical test. The average blood urea level of Diabetes mellitus patients who suffer 1-3 years, 4-6 years, and > 6 years is 29.17 mg/dL, 53.25 mg/dL, and 118.11 mg/dL. The Kruskal Wallis test showed a significant value = 0.000 < 0.05 (Pα) which indicated that the duration of suffering from Diabetes mellitus affected increasing blood urea levels
The Effect of Carbohydrate Diet Program on Urine Ketone Positivity with A Long Time on A Diet of One until Three Years Maya, Kadek; Pauzi, Iswari; Zaetun, Siti
THRIVE Health Science Journal Vol. 1 No. 1 (2024): March
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/thrive.v1i1.165

Abstract

Carbohydrate diet is a diet pattern that reduces carbohydrate consumption. Therefore, the body will use fat as an alternative energy source. The continuous use of fat causes the accumulation of fatty acids so it is often the cause of ketone positivity in the urine. Objective: Find out the effect of a carbohydrate diet program on the positivity of urine ketones. Method this research is an analytic observational study with a cross-sectional approach. The sample used was urine from respondents who had been on a carbohydrate diet for 1 year, 2 years, and 3 years, then urine ketones were examined using the dipstick method. Data analysis was carried out using the Chi-Square test with a confidence value (α = 0.05). Result: The sample in this study amounted to 45 samples, with a total of 23 samples of positive ketones and 22 samples of negative ketones. The results of the Chi-Square test obtained an Asymp.sig value of 0.009 <0.05 (α) which indicates that the carbohydrate diet program has a significant effect on the positivity of urine ketones. The carbohydrate diet program affects urine ketone levels.
The Effect of Long-Term Addiction to Online Games on Hemoglobin Levels and Urine Sediment Crystals in Adolescents in Mataram City Farhataini, Annisa; Pauzi, Iswari; Urip, Urip; Diarti, Maruni Wiwin
THRIVE Health Science Journal Vol. 1 No. 2 (2024): September
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/thrive.v1i2.219

Abstract

Online gaming addiction has a negative impact on health, such as reduced sleep hours and changes in sleep patterns can lead to a decrease in hemoglobin levels in the blood. This decrease in hemoglobin has an impact, namely anemia. Besides that, it can also cause kidney disease, especially the formation of urine sediment crystals caused by sitting too much, not drinking enough water and moving little. Objective: To determine the effect of long-term addiction to online games on hemoglobin and urine sediment crystal levels in adolescents in Mataram City.  Method: This study is an analytical observational research with a cross sectional approach of 24 samples.  Using data in the form of blood hemoglobin and urine levels. Sampling techniques with purposive sampling methods and descriptive data analysis. Results: The results of the study of 7 respondents who were not addicted to online games had normal hemoglobin levels (29.16%), 9 respondents who were addicted to online games with mild anemia (37.5%) and 8 respondents with moderate anemia (33.3%). Negative (-) crystals were found in the urine sediments of 24 respondents. Conclusion: There is an effect on the hemoglobin levels of adolescents who are addicted to online games and negative crystals on urine sediments
Analysis of Circadian Rhytme Variations on Glucose Examination Results Rahmani, Putri Ziddanur; Jiwintarum, Yunan; Tatontos, Erlin Yustin; Pauzi, Iswari
THRIVE Health Science Journal Vol. 1 No. 2 (2024): September
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/thrive.v1i2.234

Abstract

Background: Circadian rhythm is a term used to describe the 24-hour physiological rhythm of organisms. According to Minister of Health Regulation no. 43 of 2013 concerning How to Organize a Good Clinical Laboratory, the Circadian rhythm variation is explained in the body as levels of certain substances change from time to time. Changes in substance levels that are influenced by time can be cyclical, such as daily cycles (diurnal variations), monthly cycles (menstruation), or linear/straight lines, such as age. Classic experiments using a 72-hour glucose clamp methodology, demonstrated that humans exhibit a robust Circadian rhythm in insulin secretion, independent of food and glycemia. Additionally, a cell-autonomous Circadian clock appears to oversee the diurnal rhythm in glucose-induced insulin secretion.Research Objectives: Knowing the analysis of Circadian rhythm variations on glucose examination results. Research Methods: Analytical observational analysis using cross sectional methods and purposive sampling techniques. The sample population of applied TLM undergraduate students class of 2020 had blood serum taken and using the Slovin formula to determine the sample size, 36 samples were obtained with respondents without a history of diabetes mellitus. Data analysis used the Paired t-test statistical test. Research Result: The results obtained from the examination of the average glucose level at the time of sampling in the morning were 80.25 mg/dl, in the afternoon 96.5 mg/dl, and in the evening 85.91 mg/dl. The results of the paired t-test statistical analysis obtained Sig. (2-tailed) or p 0.010 means p < 0.05 there is a difference in the average glucose results at the time of sampling in the morning and afternoon and Sig. (2-tailed) or p 0.115 means p > 0.05 there is no difference in the average glucose test results at the time of sampling in the morning and evening. Conclusion:  Blood glucose levels taken in the morning have lower average levels than during the day and evening.
Co-Authors Agus Muliadi Aprilla, Annisa Suci Ardiansyah, Bakhtiar Ari Khusuma Aris Doyan Asrorul Azizi Dektra, I Made Putra Pramaditya Ekayani, Ni Putu Karunia Erlin Yustin Tatontos Farhataini, Annisa Faylori, Adelia Yusnita Fihiruddin, Fihiruddin Fitriyani Fitriyani Gito Hadiprayitno Hadi, Aprilia Khairunnisa Hakim, Aliefmam Hamidi Hamidi Helenia Ananda Feriska Felanis I Gusti Ayu Nyoman Danuyanti I Komang Agusjaya Mataram, I Komang Agusjaya Jiwantarum, Yunan Jiwantoro, Yudha Anggit Joni Rokhmat Lalu Srigede, Lalu Mahayani, I Gusti Ayu Putu Sachita Maruni Wiwin Diarti Maya, Dyah Astining Maya, Kadek Miftahul Aini, Miftahul Muh. Zaini Hasanul Muttaqin Muhammad Sarjan Muhammad Yamin MULIA RASYIDI Ni Putu Agustini Nila, Intan Mustika Nurul Inayati Rahmani, Putri Ziddanur Rahmatiah, Rindu RAI WIADNYA, IDA BAGUS Resnhaleksmana, Ersandhi Rohmi Septiawan, Dandi Siti Zaetun, Siti Sitiana, Nining Suda Adnyana Yoga, I Gede Sudirman Sudirman Sukarso, A.A Tasya, Rabaika Monica Thomas Tandi Manu Urip Urip, Urip Wahyuni, Shohifatul Yudha Anggit Jiwantoro Yuli Laraeni Yunan Jiwintarum Yusran Khery, Yusran Zaena Safitri, Trysia