Effect of anaemia and erythrocyte indices on canine glycated haemoglobin

2021 ◽  
Author(s):  
Ioannis L. Oikonomidis ◽  
Theodora K. Tsouloufi ◽  
Maria Kritsepi‐Konstantinou ◽  
Nectarios Soubasis
Keyword(s):  
Glycated Haemoglobin ◽  
Erythrocyte Indices

Association of erythrocyte indices with glycated haemoglobin in pre-menopausal women

2007 ◽  
Vol 24 (8) ◽  
pp. 843-847 ◽  
Author(s):  
M. Koga ◽  
S. Morita ◽  
H. Saito ◽  
M. Mukai ◽  
S. Kasayama
Keyword(s):  
Glycated Haemoglobin ◽  
Erythrocyte Indices ◽  
Menopausal Women

Characteristics of monitored diabetic patients by glycated haemoglobin (HbA1c)

2016 ◽  
Vol 5 (05) ◽  
pp. 4563
Author(s):  
Tariq A. Zafar
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Glycated Haemoglobin ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Age Group ◽  
Hba1c Test ◽  
Significant Difference ◽  
Tract Infections ◽  
The Impact

Glycated haemoglobin (HbA1c) test indicates the blood glucose levels for the previous two to three months. Using HbA1c test may overcome many of the practical issues and prevent infections such as urinary tract infections (UTIs). The study aimed to evaluate the impact of glycemic control using HbA1c test to understand patient characteristics and UTIs prevalence. Glycemic control was evaluated by measuring HbA1c for a total of 208 diabetes patients who were regularly attending diabetes center in Al-Noor specialist hospital in Makkah.  The results showed that good and moderate glycemic controlled patients were 14.9% and 16.9% respectively while the poor glycemic patients were 68.3%. Among the good improved glycemic control, 83.9% were females, 48.4% were from age group (15-44y). Among the moderately improved glycemic control, 68.4% were females, 54.3% were from age group (45-64 y) with no significant difference. The total number of the patients with positive UTIs was 55 (26.4%) while the total number of patients with negative was UTIs 153 (73.6%). Among the positive UTIs, 76.3% were with poor glycemic control while only 12.3% and 11% were moderate and good improved glycemic control respectively. Among the negative UTIs, 65.3% were with poor glycemic control while only 19% and 15.7% were with moderate and good improved glycemic control respectively.  Prevalence of UTIs among diabetic patients was not significant (p > 0.05). It was concluded that HbA1c was useful monitoring tool for diabetes mellitus and may lead to improved outcomes. Using a HbA1c test may overcome many of the practical issues that affect the blood glucose tests.

scholarly journals Machine Learning Prediction of Biomarkers from SNPs and of Disease Risk from Biomarkers in the UK Biobank

Genes ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 991
Author(s):  
Erik Widen ◽  
Timothy G. Raben ◽  
Louis Lello ◽  
Stephen D. H. Hsu
Keyword(s):  
Disease Risk ◽  
Smoking Status ◽  
Glycated Haemoglobin ◽  
European Ancestry ◽  
Risk Scores ◽  
Common Disease ◽  
Atherosclerotic Cardiovascular Disease ◽  
Uk Biobank ◽  
Lipoprotein A ◽  
The Uk

We use UK Biobank data to train predictors for 65 blood and urine markers such as HDL, LDL, lipoprotein A, glycated haemoglobin, etc. from SNP genotype. For example, our Polygenic Score (PGS) predictor correlates ∼0.76 with lipoprotein A level, which is highly heritable and an independent risk factor for heart disease. This may be the most accurate genomic prediction of a quantitative trait that has yet been produced (specifically, for European ancestry groups). We also train predictors of common disease risk using blood and urine biomarkers alone (no DNA information); we call these predictors biomarker risk scores, BMRS. Individuals who are at high risk (e.g., odds ratio of >5× population average) can be identified for conditions such as coronary artery disease (AUC∼0.75), diabetes (AUC∼0.95), hypertension, liver and kidney problems, and cancer using biomarkers alone. Our atherosclerotic cardiovascular disease (ASCVD) predictor uses ∼10 biomarkers and performs in UKB evaluation as well as or better than the American College of Cardiology ASCVD Risk Estimator, which uses quite different inputs (age, diagnostic history, BMI, smoking status, statin usage, etc.). We compare polygenic risk scores (risk conditional on genotype: PRS) for common diseases to the risk predictors which result from the concatenation of learned functions BMRS and PGS, i.e., applying the BMRS predictors to the PGS output.

scholarly journals Serum alanine aminotransferase activity and risk factors for cardiovascular disease in a Caucasian population: the Tromsø study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Svein Ivar Bekkelund
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Alanine Aminotransferase ◽  
Maximum Level ◽  
Glycated Haemoglobin ◽  
Caucasian Population ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Cross Sectional ◽  
Serum Alanine Aminotransferase

Abstract Background High and low levels of serum alanine aminotransferase (ALT) are both associated with cardiovascular diseases (CVD) risks especially in elderly, but the mechanisms are less known. This study investigated associations between ALT and CVD risk factors including effects of sex and age in a Caucasian population. Methods Cross-sectional data were analysed sex-stratified in 2555 men (mean age 60.4 years) and 2858 women (mean age 60.0 years) from the population study Tromsø 6. Associations were assessed by variance analysis and multivariable logistic regression of odds to have abnormal ALT. Risk factors included body mass index (BMI), waist-to-hip-ratio, blood pressure, lipids, glucose, glycated haemoglobin and high-sensitive C-reactive protein (CRP). Results Abnormal elevated ALT was detected in 113 men (4.4%) and 188 women (6.6%). Most CVD risk factors associated positively with ALT in both sexes except systolic blood pressure and CRP (women only), while ALT was positively associated with age in men when adjusted for CVD risk factors, P < 0.001. BMI predicted ALT in men (OR 0.94; 95% CI 0.88–1.00, P = 0.047) and women (OR 0.90; 95% CI 0.86–0.95, P < 0.001). A linear inversed association between age and ALT in men and a non-linear inversed U-trend in women with maximum level between 60 and 64 years were found. Conclusion This study confirms a positive relationship between ALT and CVD risk factors, particularly BMI. Age is not a major confounder in the ALT-CVD relationship, but separate sex-analyses is recommended in such studies.

A comparison of the periodontal status in patients with type 2 diabetes based on glycated haemoglobin levels and other risk factors

2015 ◽  
Vol 60 (1) ◽  
pp. 156-161 ◽  
Author(s):  
Magdalena Kiedrowicz ◽  
Elżbieta Dembowska ◽  
Jadwiga Banach ◽  
Krzysztof Safranow ◽  
Sławomir Pynka
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Glycated Haemoglobin ◽  
Periodontal Status

scholarly journals An Artificial-Intelligence-Discovered Functional Ingredient, NRT_N0G5IJ, Derived from Pisum sativum, Decreases HbA1c in a Prediabetic Population

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1635
Author(s):  
Sweeny Chauhan ◽  
Alish Kerr ◽  
Brian Keogh ◽  
Stephanie Nolan ◽  
Rory Casey ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Pisum Sativum ◽  
Cost Effective ◽  
Glycated Haemoglobin ◽  
Glucose Regulation ◽  
Functional Ingredient ◽  
Effective Manner ◽  
Human Skeletal Muscle Cells ◽  
Increased Risk

The prevalence of prediabetes is rapidly increasing, and this can lead to an increased risk for individuals to develop type 2 diabetes and associated diseases. Therefore, it is necessary to develop nutritional strategies to maintain healthy glucose levels and prevent glucose metabolism dysregulation in the general population. Functional ingredients offer great potential for the prevention of various health conditions, including blood glucose regulation, in a cost-effective manner. Using an artificial intelligence (AI) approach, a functional ingredient, NRT_N0G5IJ, was predicted and produced from Pisum sativum (pea) protein by hydrolysis and then validated. Treatment of human skeletal muscle cells with NRT_N0G5IJ significantly increased glucose uptake, indicating efficacy of this ingredient in vitro. When db/db diabetic mice were treated with NRT_N0G5IJ, we observed a significant reduction in glycated haemoglobin (HbA1c) levels and a concomitant benefit on fasting glucose. A pilot double-blinded, placebo controlled human trial in a population of healthy individuals with elevated HbA1c (5.6% to 6.4%) showed that HbA1c percentage was significantly reduced when NRT_N0G5IJ was supplemented in the diet over a 12-week period. Here, we provide evidence of an AI approach to discovery and demonstrate that a functional ingredient identified using this technology could be used as a supplement to maintain healthy glucose regulation.

Elevated Circulating Levels of Motilin are Associated with Diabetes in Individuals after Acute Pancreatitis

2019 ◽  
Vol 128 (01) ◽  
pp. 43-51 ◽  
Author(s):  
Fuchsia D. Gold-Smith ◽  
Ruma G. Singh ◽  
Maxim S. Petrov
Keyword(s):  
Acute Pancreatitis ◽  
Blood Glucose ◽  
Glycaemic Control ◽  
Confidence Interval ◽  
Gastrointestinal Motility ◽  
Fasting Blood Glucose ◽  
Glycated Haemoglobin ◽  
Symptom Index ◽  
Plasma Motilin ◽  
Cardinal Symptom

Abstract Aim The study aimed to investigate the associations between glycaemic control after acute pancreatitis and gastrointestinal motility, using plasma motilin concentration and gastroparesis cardinal symptom index score as proxies. Methods This cross-sectional study recruited a total of 93 individuals after acute pancreatitis. Gastroparesis cardinal index scores, demographic and anthropometric factors, as well as pancreatitis-related factors were analysed. Fasting venous blood was collected to measure motilin, glycated haemoglobin, and fasting blood glucose. Linear regression analyses were conducted to investigate the associations between glycaemic control and gastrointestinal motility in unadjusted and adjusted models. Results Motilin was significantly higher in individuals with diabetes across all adjusted models, with the highest ß-coefficient (95% confidence interval) of 588.89 (138.50, 1039.28); P=0.010. Fasting blood glucose was significantly associated with motilin across all models, with the highest ß-coefficient (95% confidence interval) of 156.30 (55.49, 257.10); P=0.002. Glycated haemoglobin was significantly associated with motilin in one adjusted model with ß-coefficient (95% confidence interval) of 18.78 (1.53, 36.02); P=0.033. Gastroparesis cardinal symptom index was not significantly associated with any measure of glycaemic control. Conclusions Diabetes in individuals after acute pancreatitis appears to be characterised by elevated plasma motilin but not gastroparesis cardinal symptom index. The role of motilin in this setting warrants further investigations.

Sign in / Sign up

Export Citation Format

Share Document