AIMC Topic: Glycated Hemoglobin
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Raman spectroscopy and PCA-SVM as a non-invasive diagnostic tool to identify and classify qualitatively glycated hemoglobin levels in vivo.
Journal of biophotonics
Dec 23, 2016
In this study we identify and classify high and low levels of glycated hemoglobin (HbA1c) in healthy volunteers (HV) and diabetic patients (DP). Overall, 86 subjects were evaluated. The Raman spectrum was measured in three anatomical regions of the b...
Carotid Intima-Media Thickness and Visit-to-Visit HbA1c Variability Predict Progression of Chronic Kidney Disease in Type 2 Diabetic Patients with Preserved Kidney Function.
Journal of diabetes research
Dec 20, 2016
. Subclinical atherosclerosis and long-term glycemic variability have been reported to predict incident chronic kidney disease (CKD) in the general population. However, these associations have not been investigated in patients with type 2 diabetes wi...
Patient-level meta-analysis of efficacy and hypoglycaemia in people with type 2 diabetes initiating insulin glargine 100U/mL or neutral protamine Hagedorn insulin analysed according to concomitant oral antidiabetes therapy.
Diabetes research and clinical practice
Nov 9, 2016
AIMS: Evaluate efficacy and hypoglycaemia according to concomitant oral antidiabetes drug (OAD) in people with type 2 diabetes initiating insulin glargine 100U/mL (Gla-100) or neutral protamine Hagedorn (NPH) insulin once daily.
Insulin Glargine
Diabetes Mellitus, Type 2
Clinical Trials, Phase III as Topic
Hypoglycemia
Humans
Clinical Trials, Phase IV as Topic
Administration, Oral
Hypoglycemic Agents
Female
Insulin, Isophane
Drug Therapy, Combination
Treatment Outcome
Male
Sulfonylurea Compounds
Weight Gain
Randomized Controlled Trials as Topic
Incidence
Glycated Hemoglobin
Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning.
PloS one
Oct 11, 2016
Statistical models to predict incident diabetes are often based on limited variables. Here we pursued two main goals: 1) investigate the relative performance of a machine learning method such as Random Forests (RF) for detecting incident diabetes in ...
Adult
Male
Middle Aged
Blood Glucose
Incidence
Humans
Machine Learning
Biomarkers
Female
Aged
Adiponectin
Triglycerides
Black or African American
Demography
Glycated Hemoglobin
Diabetes Mellitus, Type 2
Leptin
Models, Theoretical
Waist Circumference
Follow-Up Studies
C-Reactive Protein
Cholesterol, HDL
Anthropometry
Long-term clinical and functional impact of biliopancreatic diversion on type 2 diabetes in morbidly and non-morbidly obese patients.
Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
Dec 10, 2015
SETTING: Obesity surgery has been proposed as a treatment option for diabetic patients with body mass index (BMI)<35 kg/m(2), but the efficacy of metabolic surgery has not been conclusively determined.
Metabolic parameters in type 2 diabetic patients with varying degrees of glycemic control during Ramadan: An observational study.
Journal of diabetes investigation
Jun 17, 2015
AIMS/INTRODUCTION: The changes in metabolic parameters in type 2 diabetic patients who fast during Ramadan have not been studied in Singapore. This study aimed to examine the trends of glycated hemoglobin (HbA1c), systolic blood pressure, low-density...
Diabetes knowledge in young adults: associations with hemoglobin A1C.
Families, systems & health : the journal of collaborative family healthcare
Jan 19, 2015
The purpose of this study was to quantify associations between hemoglobin A1C (A1C) and diabetes knowledge score using an assessment tool developed to evaluate the level of diabetes knowledge in young adults with Type 1 diabetes (T1DM) and their pare...
Predictive factors of hypoglycemia in type 2 diabetes: a prospective study using machine learning.
Scientific reports
May 25, 2025
Hypoglycemia is a serious complication in individuals with type 2 diabetes mellitus. Identifying who is most at risk remains challenging due to the non-linear relationships between hypoglycemia and its associated risk factors. The objective of this s...
Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study.
Journal of medical Internet research
May 9, 2025
BACKGROUND: Diabetes has emerged as a critical global public health crisis. Prediabetes, as the transitional phase with 5%-10% annual progression to diabetes, offers a critical window for intervention. The lack of a 5-year risk prediction model for d...
Real-Time AI-Assisted Insulin Titration System for Glucose Control in Patients With Type 2 Diabetes: A Randomized Clinical Trial.
JAMA network open
May 1, 2025
IMPORTANCE: Type 2 diabetes (T2D) is one of the most prevalent chronic diseases in the world. Insulin titration for glycemic control in T2D is crucial but limited by the lack of personalized and real-time tools.
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