High Blood Sugar Levels Research Articles

Metabolomic and transcriptomic alterations in the colon of mice with metabolic syndrome in the absence of inflammation

Metabolic syndrome (MetS) is characterized by a cluster of conditions including abdominal obesity, elevated blood pressure, altered lipid profiles and high blood sugar levels. These factors collectively elevate risks for cardiovascular diseases, diabetes, and metabolic dysfunction associated steatotic liver disease (MASLD). MetS impacts approximately a third of the US populace and a quarter of the global population. Despite its widespread prevalence, there are no existing medications to specifically treat MetS. With the global rise in MetS cases, understanding its underlying mechanisms is paramount. Our research emphasizes the potential physiological and metabolic disruptions within the gastrointestinal (GI) tract that might contribute to MetS manifestation. Using a mouse model of MetS (MS NASH) and healthy lean controls (C57BL/6J), we investigated the colon environment. 16S rRNA sequencing from fecal samples revealed a distinct microbiota profile in MS NASH mice, highlighted by an increase in the Lactobacillus genus. Colonic metabolome and transcriptome in MS NASH mice displayed an upregulation in anabolic pathways, like glycolysis, the pentose phosphate pathway, and the tryptophan/kynurenine pathway. Subsequent integrated analysis of these datasets unveiled potential compensatory mechanisms and pathway crosstalk, within the colonic environment. Despite these alterations, MS NASH mice showed no signs of intestinal inflammation, a finding confirmed through detailed histological and LCN-2 assessments. Additionally, there were no changes detected in genes typically associated with increased intestinal inflammation or permeability. This study provides insight in the nuanced relationship between the metabolic state, gut microbiota, and potential progression towards other metabolic disorders. Our findings highlight the significance of multi-omics data convergence in understanding the changes within the colonic environment and their implications for MetS onset and/or progression. Supported in part by the National Center for Research Resources and the National Center for Advancing Translational Sciences of the National Institutes of Health (NIH) through grant no. UL1TR001449 (E.F.C.) and in part by NIH grant P20GM121176 (E.F.C.), and the University of New Mexico Comprehensive Cancer Center with grant P30CA118100. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

The Antidiabetic Potential of Ruellia tuberosa L.

Diabetes mellitus (DM) is a metabolic condition characterized by insufficient insulin production or resistance to insulin, resulting in elevated blood sugar levels. Several synthetic medications, such as Acarbose, Metformin, Glibenclamide, Miglitol, and Voglibose, are presently employed to manage high blood sugar levels. However, these drugs have many side effects, causing some mild to severe adverse effects, including gastrointestinal symptoms, nausea, and vomiting. Hence, it is crucial to research natural products as promising antidiabetic alternatives. This study aimed to provide a comprehensive overview of the potential of Ruellia tuberosa L. as an antidiabetic drug candidate based on the secondary metabolite compounds contained in it. The literature review process involved searching specific keywords in various databases, including Google Scholar, the GARUDA portal, ScienceDirect, PubMed, and DOAJ. All incomplete, duplicates, and pay-access articles were filtered out, and inclusion criteria were applied. The result of this study shows that Ruellia tuberosa L. secondary metabolite compounds are alkaloids, amino acids, ascorbic acids, carbohydrates, flavonoids, glycosides, phenolics, quinoline, saponins, steroids, sterols, tannins, and terpenoids. In silico molecular docking analysis and in vivo testing of Ruellia tuberosa L. extract on streptozotocin (STZ)-induced diabetic Wistar rats show that Ruellia tuberosa L. has the potential to be developed as an antidiabetic alternative drug.

Evaluation Of Metformin Use in Type 2 Diabetes Mellitus Patients X Clinic Sei Karang

Diabetes mellitus is a disease or chronic metabolic disorder characterized by high blood sugar levels accompanied by impaired metabolism of carbohydrates, lipids and proteins as a result of insulin function insufficiency, which can be caused by impaired insulin production by the Langerhans beta cells of the pancreatic gland or caused by a lack of insulin. responsiveness of body cells to insulin. Type 2 DM is often found in around 90% of diabetes sufferers and usually occurs from the age of over 40 years in obese people. Metformin is the most frequently prescribed therapy for patients with type 2 diabetes mellitus. In addition, Metformin has a very good safety profile and is also pharmacoeconomically beneficial. The research was carried out by tracing the patient's past data from medical records obtained from the medical records unit at the X Sei Karang Clinic in the patient's medical records for 2022. Based on gender, it shows that of the 40 patients using oral anti-diabetic drugs in type II DM patients based on gender in 2022, the majority of genders are women (28 people) and the rest are men (12 people). Based on age, it shows that there are more people aged 34-60 years with a percentage of 67.5% compared to those aged 61-77 years with a percentage of 32.5%. Therapeutic use of oral antidiabetic drugs in outpatient type II DM patients at the X Sei Karang Clinic for the period October-December 2022 is Metformin with a 30% result with or without combination therapy. The accuracy of using oral anti-diabetic drugs in outpatients with type II DM at the X Sei Karang Clinic in 2022, found that the accuracy of using anti-diabetic therapy drugs at the appropriate dose was 83.33%.

Family Support in Caring for Diabetes Mellitus Family Members with Blood Sugar Level Problems in Karangrejo Village Tulungagung Regency

Background: Diabetes mellitus (DM) is a chronic disease that requires care from family members. Care for diabetes mellitus clients in the family can be influenced, among other things, by support and participation from other family members so that blood sugar levels canbe controlled. Purpose: The aim of this research is to determine family support in caring for family members with diabetes mellitus with problems with blood sugar levels in Karangrejo Village, Tulungagung Regency. Method: The research design used Correlational Analytics with a cross-sectional approach. The research population was diabetes sufferers in Karangrejo Village, Tulungagung Regency,totaling 92 people and the research sample was diabetes sufferers in Karangrejo Village, Tulungagung Regency with a total of 92 respondents selected using total sampling techniques. The research instrument is a questionnaire and data processing is carried out through editing, coding, scoring, tabulation, while data analysis uses the Spearman rho test. Results: The results of the study showed that the majority of respondents with good family support had normal blood sugar levels, namely 60 respondents (76%), while respondents with less family support had high blood sugar levels, namely 28 people (63%). The statistical test results showed that the ρ value was 0.002 with α 0.05, meaning that there was a relationship between family support in caring for family members suffering from diabetes mellitus in Karangrejo Village, Tulungagung District. Conclusion: Family members need to be aware of and provide support for family members who suffer from diabetes mellitus to reduce blood sugar levels, so that blood sugar levels are controlled.

Earthing Method as a Lifestyle Medicine to Accelerate the Healing of Chronic Diabetic Wounds

Diabetes mellitus (DM) type 2 is a non-communicable disease that causes death number 6 worldwide. Caused by resistance to insulin, accompanied by many complications, including neuropathy (peripheral nerve damage), diabetic ulcers, heart disease, kidney failure, hypertension, retinopathy (damage to the retina in the eyes), blindness, leg amputation, stroke, and death. Diabetic wounds do not heal because of microbial infections in the wounds, accompanied by high blood sugar levels. This study aims to analyze the effect of earthing/grounding on chronic diabetes wound healing. This research was conducted in June-December 2023 in Karanganyar Regency, Central Java. The population in this study were clients with type 2 diabetes mellitus. Earthing intervention was carried out for 1 hour every day for 30 days. The sample size was 21 respondents taken by the purposive sampling method. Statistical analysis shows a P value of 0.000<0.000 and a Z-score of -4.032. Shows the significant effect of earthing/grounding therapy on accelerating diabetes mellitus wound healing. It is highly recommended for clients with type 2 DM to apply earthing/grounding as part of Lifestyle Medicine, which is integrated into life habits to cure infections and speed up wound healing, thereby preventing amputations.

Correlation Between Blood Glucose Levels And Risk Of Non-Hemorrhagic Stroke: Analysis Of A Prospective Cohort Study In An Elderly Population

Stroke is one of the main cardiovascular diseases that causes death and disability throughout the world. One of the important risk factors for stroke is hyperglycemia or high blood sugar levels. This study aims to analyze the correlation between blood glucose levels and the risk of non-hemorrhagic stroke in the elderly population. This research utilizes a qualitative approach. The data source used is the scientific literature. The data that has been collected is then analyzed through the process of data reduction, data presentation, and conclusion drawing. The research findings show that there was a significant positive correlation between blood glucose levels and the risk of non-hemorrhagic stroke in the elderly population. Elderly people with high blood glucose levels have a higher risk of non-hemorrhagic stroke compared to elderly people with normal blood glucose levels. Good control of blood glucose levels can be an important strategy to reduce the risk of non-hemorrhagic stroke in the elderly.

An explainable stacking-based approach for accelerating the prediction of antidiabetic peptides

Diabetes is a chronic disease that is characterized by high blood sugar levels and can have several harmful outcomes. Hyperglycemia, which is defined by persistently elevated blood sugar, is one of the primary concerns. People can improve their overall well-being and get optimal health outcomes by prioritizing diabetes control. Although the use of experimental approaches in diabetes treatment is cost-effective, it necessitates the development of many strategies for evaluating the efficacy of therapies. Researchers can quickly create new strategies for managing diabetes and get vital insights by enabling virtual screening with computational tools and procedures. In this study, we suggest a predictor named STADIP (STacking-based predictor for AntiDiabetic Peptides), a new method to predict antidiabetic peptides (ADPs) utilizing a stacked-based ensemble approach. It uses 12 different feature encodings and seven machine-learning techniques to construct 84 baseline models. The impacts of various baseline models on ADP prediction were then thoroughly examined. A two-step feature selection method, eXtreme Gradient Boosting with Sequential Forward Selection (XGB-SFS), was employed to determine the optimal number, out of 84 PFs to enhance predictive performance. Subsequently, utilizing the meta-predictor approach, 45 selected PFs were integrated into an XGB classifier to formulate the final hybrid model. The proposed method demonstrated superior predictive capabilities compared to constituent baseline models, as evidenced by evaluations on both cross-validation and independent tests. During extensive independent testing, STADIP achieved promising performance with accuracy and mathew's correlation coefficient of 0.954 and 0.877, respectively. It is anticipated that it will be useful tool in helping the scientific community to identify new antidiabetic proteins.

The Relationship Between Family Support And Medication Adherence Among Type II Diabetic Patients

Diabetes Mellitus is a chronic metabolic disorder characterized by high bloodsugar levels. Consequently, this condition can cause various problems andcomplications, so patients’ medication adherence is essential to preventcomplications. Apart from that, family support is also a factor that affectsincreasing medication adherence in type 2 DM patients. This research wasclassified as quantitative research using a descriptive correlation method witha Cross-sectional design. The research population was all type 2 DM patientswith complications in the working area of Puskesmas (Public Health Center)Kabila, with as many as 516 people. In the meantime, the samples were 84people determined through Accidental Sampling. The research findingsindicated that 59 respondents (70.2%) had good family support, while 25respondents (29.8%) had poor one. Meanwhile, 48 respondents (57.1%)adhered to taking medication, whereas 36 respondents (42.9%) didnot.Additionally, the results of statistical tests using chi-square denoted a pvalue = 0.000 <?=0.05.In conclusion, there is a relationship between familysupport and medication adherence in type 2 diabetes Mellitus patients withcomplications in the working area of Puskesmas Kabila. Therefore, it isrecommended that this research be used as reference material, and futureresearchers can develop research related to factors affecting medicationadherence.

Investigating the Effects and Mechanisms of Cyclomorusin on Osteoclasts in a High Glucose Environment.

Diabetes mellitus is an endocrine disease characterized by prolonged hyperglycemia. Prolonged high blood sugar levels interfere with the differentiation and maturation process of OBs and OCs, leading to the onset of osteoporosis. However, OCs differentiation and maturation is a complex regulatory process. In this study, we used a co-culture system of RAW264.7 and MC3T3-E1 cells under HG concentration to explore the effect of CYM on OCs in a HG environment. The effects of CYM on the formation and function of OCs were observed using TRAP-positive cell counts and bone resorption pits. Then, mRNA and protein expression levels of OCs-related genes were detected by real-time qPCR and western blotting. The results showed that CYM had an inhibitory effect on OCs differentiation and bone resorption, reduced mRNAs expression of OCs-associated genes, and downregulated RANKL/RANK/TRAF6 pathway that mediates OCs differentiation. CYM could be a promising natural compound against diabetic osteoporosis.

Pharmacophore-based virtual screening of bioactive peptides as dipeptidyl peptidase 4 inhibitor for type 2 diabetes mellitus drug candidates

Background: Diabetes is a chronic disease characterised by high blood sugar levels. Glucose that accumulates in the blood without being properly absorbed by the body's cells can cause various organ problems. If diabetes is not properly controlled, various complications can occur that endanger the life of the affected person. Objective: To find bioactive peptides that have the potential to inhibit di-peptidyl peptidase 4 (DPP-4) enzyme as anti-diabetes drug candidates. Method: This research was carried out using pharmacophore-based virtual screening. Result: The validation of the pharmacophore-based virtual screening method showed that model III, which had five pharmacophore features consisting of three Pi interactions, one hydrogen bond donor, and three hydrogen acceptors, was the best pharmacophore model with the values of AUC 0.59; EF 1.2; Se 0.69; Sp 0.94; ACC 0.84; Ya 0.06; and GH 0.2. The screening of the 168,400 short-chain peptides using validated pharmacophore model III gave 51 tetrapeptides as the hits compounds with a pharmacophore fit score of more than 50.0%. Conclusion: In total, 51 tetrapeptides were enlisted as potential as anti-diabetes mellitus drug candidates.

Evaluation of Oral Microflora-Related to Dental Caries and Salivary pH in type II Diabetic Patients.

Diabetes mellitus is one of the chronic diseases and a group of metabolic disorders characterized by a high blood sugar level over a prolonged period. The present study aimed to evaluate and correlate HbA1c, salivary pH, and oral bacterial microflora (streptococcus and lactobacillus colony-forming unit (CFU)) related to dental caries in normal, controlled, and uncontrolled type II diabetic patients. A total of 90 samples were taken for this study. The HbA1c test was recorded and grouped into three (normal, prediabetic, and diabetic). CFUs (streptococcus and lactobacillus) were evaluated by the spit-and-swab method. Salivary pH was measured with a pH strip with color coding. By using the post hoc test, the P-value was significant. The CFU of streptococcus and lactobacillus in the saliva spit and swab method is statistically significant for P <0.005 and P <0.01 among normal, prediabetic, and diabetic groups. In diabetic patients, there is a higher incidence of dental caries (s.d. 6.7), a higher CFU (s.d. 6194.5) in the bacterial microflora, and a lower salivary pH (s.d. 0.6) than in prediabetic and normal patients. From the present study, we conclude that there is a slight increase in the CFU of Streptococcus mutans in diabetic patients compared to non-diabetic patients. This CFU increase and decrease in salivary PH were strongly associated with increased dental caries in diabetic patients.

Improvement of Awareness of Diabetes Mellitus Disease Risks and Self-Monitoring Motivation Through Blood Sugar Screening and Counseling for Dian Darat Village Community, Southeast Maluku

Diabetes Mellitus (DM) disease is among the top 10 causes of death in the world. It is a metabolic disease causing unusual high blood sugar level in the body. Fortunately, controlling risk factors through early detection can prevent the abnormality. Dian Darat is among villages in Southeast Maluku Regency, where DM screening is rarely carried due to its relatively remote location. This community activity aimed to provide DM disease education through blood sugar screening and counselling for village’s community. Methods included early detection of DM and counselling based on blood sugar level screening results supported by poster media. Screening test results showed that 9 out of 26 respondents (35%) had blood sugar level higher than normal. Based on results of pre- and post-test scores before and after the education, there was an increase in participants’ knowledge regarding DM disease by 62 %. (from average score of 56,15 ± 13,88 to 90,77 ± 9,77, n=26, p ≤ 0.01). Future community services are recommended on similar and more sustainable community service activities by cooperation with other relevant stakeholders to optimize results.

Blood glucose level affects iodine-123 labeled MIBG uptake in the lung

The aim of this study was to evaluate the correlation of blood glucose and the metaiodobenzylguanidine (MIBG) uptake in lung and compare the difference between the lung uptake of MIBG in diabetic and non-diabetic patients. Patients who underwent iodine-123 MIBG whole-body scan (WBS) in the Department of Nuclear Medicine Seoul National University Hospital between January 2014 and July 2022 were recruited and analyzed. Semi-quantitative analysis of the mean value of lung-to-mediastinum ratio (LMR) was performed. Correlation was analyzed with Pearson correlation test and mean difference was analyzed with independent t-test. There were 36 patients in diabetic group and 57 patients in non-diabetic group with mean age of 56 &amp;plusmn; 14.1 and 52 &amp;plusmn; 14.6 years, respectively. The mean 24-h LMRs in diabetic and non-diabetic groups were 1.38 &amp;plusmn; 0.20 and 1.17 &amp;plusmn; 0.14, respectively. Fasting glucose showed a mean value of 136 &amp;plusmn; 37.7 and 96 &amp;plusmn; 8.2 mg/dL, respectively. There was a significant positive correlation in diabetic (r = 0.397; P = 0.016) and non-diabetic groups (r = 0.579; P &lt;0.001) with significant mean difference (0.21; P &lt;0.001). In conclusion, lung uptake of MIBG is positively correlated with blood sugar level, with diabetic patients displaying higher lung uptake of MIBG compared with non-diabetic patients. In addition, higher lung uptake of MIBG is evident in patients with higher fasting glucose level and even in non-diabetic patients. Thus, in the situations where MIBG therapy is required, the radiation dose to the lungs must be carefully adjusted for patients with high blood sugar level.

A NEW APPROACH TO CONTROL DIABETES BY CONVERTING EXCESS BLOOD SUGAR TO ENERGY OVER ELECTROCATALYTIC METALLIC ANODE

Diabetes Mellitus, or Diabetes in short, is a group of widespread endocrine diseases characterized by high blood sugar levels. This research paper attempts to find a solution to this high sugar problem, by taking the route of electrochemistry. It was attempted to demonstrate that the excess sugar (glucose) in the bloodstream of a diabetic patient can be lowered by electro-oxidizing the excess sugar in Simulated Body Fluid (SBF) and convert it into electrical energy. For this, a sugar level detection system was developed, using a linear regression model with a coefficient of determination (R2 value) of 0.974. At first, one of the most popular as well as costly electrocatalytic materials i.e., Platinum was used to electro-oxidize the excess sugar. Upon its success, some highly electrocatalytic but cheap electrode materials were developed, such as Nickel, Nickel with nanocarbon, Manganese dioxide (MnO2) and Manganese dioxide with nanocarbon (MnO2C). And they also successfully electro-oxidized the excess glucose in SBF solution, thereby reducing the sugar levels. Thus, a potentially novel route to deal with the epidemic problem of diabetes has been proposed through this research work.

Predictive Role of Oral Biomarkers and Periodontal Status in Gestational Diabetes Mellitus: A Review of Literature

Gestational Diabetes Mellitus (GDM) is a type of diabetes that occurs during pregnancy in women who did not previously have diabetes. It is characterized by high blood sugar levels that develop during pregnancy and typically resolve after childbirth. GDM occurs when the body is unable to produce enough insulin to meet the increased demand during pregnancy or when the body becomes resistant to the action of insulin. It can have significant implications for both the mother and the baby if not managed properly.In Pakistan, GDM prevalence is reported to be from 4 to 10%. While Asian countries report a wide range from 1.2 to 49.5%, largely accounting for differences in diagnostic criteria, sample size, and population source. KEYWORDS: gestational diabetes, pregnant women, biomarkers, prevalence

Hubungan Perawatan Kaki Dengan Resiko Kajadian Ulkus Kaki Diabetik Pada Penderita Diabetes Melitus Di Wilayah Kerja Puskesmas Sukabumi

Background: Diabetes Mellitus (DM) is a chronic, progressive disease characterized by the body's inability to metabolize carbohydrates, fats and proteins, leading to hyperglycemia (high blood sugar levels). Diabetes Mellitus can be associated with serious complications such as kidney damage, eye problems, cardiovascular disease, nerve damage and skin and foot problems, so DM sufferers need to take precautions to avoid complications. There are several ways to prevent diabetic ulcers, several things that families and patients can do independently, checking the condition of the feet every day for Diabetes Mellitus sufferers needs to be done once a day to detect abnormalities such as redness, blisters, cracked skin, swelling and pain. Objective: To determine the relationship between foot care and the incidence of diabetic foot ulcers in diabetes mellitus sufferers in the Sukabumi Health Center Working Area. Method: The method used in this research is the Descriptive Analytical method with a cross-sectional approach. The samples used were 69 patients suffering from diabetes who were at risk of diabetic foot ulcers in the Sukabumi Community Health Center Working Area. Results: Based on the results of statistical tests with chi-square, the resulting P value was 0.000 &lt; 0.05, which can be concluded that there is a relationship between foot care behavior and the incidence of diabetic ulcers in diabetes mellitus sufferers in the Sukabumi Community Health Center Working Area. Conclusion: it can be concluded that there is a relationship between foot care behavior and the incidence of diabetic ulcers in diabetes mellitus sufferers in the Sukabumi Health Center Work Area. Suggestion: DM sufferers are expected to be disciplined in caring for their feet even though diabetic foot ulcers have not yet occurred and families with diabetes are able to get involved and help if the patient has a serious ulcer, without having to visit health personnel.

The Effect of Green Tea (Camellia Sinensis L) Steeping on Blood Glucose Levels of Mice

Diabetes mellitus (DM) is a chronic metabolic disorder caused by high blood sugar levels due to lack of insulin function. Insulin is a hormone that helps blood sugar enter. Insulin injections are the main therapy for treating diabetes mellitus, they are relatively expensive and long-term use can cause side effects such as hypoglycemia. Other alternatives need to be found for the treatment of Diabetes Mellitus (DM), one of which is green tea. The aim of this research was to determine the effect of steeping green tea on the blood glucose levels of mice (24 males) which were divided into 4 groups. Mice were selected using the Simple Random Sampling technique representing 4 dose groups, namely: control group, brewed green tea at a dose of 30mg/0.5cc/day, brewed green tea at a dose of 35mg/0.5cc/day and green tea. brew at a dose of 40mg/0.5cc/day. The treatment was given orally for 6 repetitions. For 15 consecutive days. Data analysis used the One ANOVA test with a significance level of 5% (p&lt;0.05) followed by the LSD test with a confidence level of 95%. The results of the study showed that there was a significant effect on reducing glucose levels in mice. Mice given a dose of 30, 40 and 45% brewed green tea experienced a decrease in glucose levels of 43, 32 and 40.27% respectively compared to controls.

Relation of Raised HbA1C Level with Congenital Deformity of Fetus Detected by Anomaly Scan in 2nd Trimester of Pregnancy in Diabetic Mother

Background: Pregnant women with pre-existing diabetes face an elevated risk of congenital anomalies in their offspring. However, research on the pattern of congenital anomalies and its correlation with blood sugar control in pre-gestational diabetic mothers is limited, especially in our country's context. This study investigated the association between elevated HbA1c levels and congenital anomalies in diabetes-related pregnancies. Objective: To assess whether raised HbA1c levels were linked to an increased incidence of congenitally deformed fetal outcomes in pregnancies affected by diabetes. Method: This cross-sectional study was conducted from August 2018 to September 2019 at the Department of Obstetrics and Gynaecology, DMCH. Women with pre-gestational diabetes were sequentially enrolled if they provided informed consent. Data, including HbA1c levels and anomaly scans, were collected at 18-24 weeks of gestation. Participants were divided into two groups based on HbA1c levels: Group-1 (elevated HbA1c) and Group-2 (normal HbA1c). Statistical analysis was performed using SPSS 22, with significance at p&lt;0.05. Result: The mean ages of Group 1 and Group 2 were 31.60±2.89 &amp; 30.51±2.99 (SD) years. Both groups were similar concerning age, residence, education, occupation, economic status, and BMI (p&gt;0.05 in all factors). Mean HbA1C (%) of Group-1 and Group-2 were 8.57±2.22 &amp; 6.18±0.20 (p&lt;0.001), respectively. Congenital anomalies were more frequent in Group 1 (15.6 vs 2.2; p&lt;0.05), and it is associated with high blood sugar levels (p&lt;0.001) and with a previous history of anomalous babies in preceding pregnancies. Conclusion: Elevated HbA1c levels are associated with an increased incidence of congenital anomalies in pregnancies complicated by diabetes. This underscores the importance of strict glycemic control in pregnant women with pre-gestational diabetes to mitigate the risk of adverse fetal outcomes. Further, population-based studies are desired to validate these findings and inform clinical management strategies.

Analisa Faktor-Faktor Yang Mempengaruhi Gula Darah Pada Penderita Diabetes Meilitus Tipe 2 Di RSUD Cempaka Putih

Diabetes mellitus (DM) is a serious chronic disease caused by the pancreas that does not produce enough insulin. His high blood sugar levels marked the influence of factors that occur. Therefore, the patient must understand what influences make his blood sugar levels higher. This study aims to analyze the factors that affect blood sugar. The research method used correlational analysis with sectional design and total sampling techniques.

Peripheral Arterial Disease Detection Efforts with Ankle Brachial Index (ABI) Examination

Peripheral Arterial Disease (PAD) is the third leading cause of atheroskeric vascular morbidity in coronary heart disease. The ankle-brachial index (ABI) is one way to assess peripheral arteries. This activity aims to identify people who are at risk or suffer from PAD. The method used is a medical examination, which includes ABI values, blood pressure, cholesterol levels, blood sugar, and uric acid. This medical examination was conducted on 41 people in RT 02 RW 06 Pasar Ambacang, Padang City. The screening results found that 17.07% of respondents had ABI values higher than 1.3 (severely calcified vessel), and 14.62% had ABI values in the range of 0.71-0.9 (mild obstruction). This activity also found respondents with first-stage hypertension (29.26%), second-stage hypertension (2.44%), high cholesterol levels (56.09%), high blood sugar levels (7.31%), and uric acid levels exceeding normal limits (7.31%). Screening efforts can be a preventive measure.