Diabetic Retinopathy Linked to Glycemic Variability in Type 2-Diabetes
|
By LabMedica International staff writers Posted on 13 Dec 2018 |

Image: The continuous glucose monitoring (CGM) system (Photo courtesy of Medtronic).
Latent autoimmune diabetes in adults (LADA) refers to adult diabetes patients who are initially non‐insulin requiring, but have type 1 diabetes mellitus‐associated autoantibodies and who often progress to insulin dependency.
LADA manifests as a wide spectrum of heterogeneous clinical and metabolic phenotypes that are midway between those of classic type 1 diabetes mellitus and type 2 diabetes mellitus. It is estimated that LADA accounts for 4% to14% of patients with a diagnosis of type 2 diabetes mellitus.
Scientists affiliated with the Shanghai Jiao Tong University (Shanghai Shi, China) conducted a cross-sectional analysis of 192 adults (mean age, 56.4 years; 47.9% women; mean BMI, 23.2 kg/m2) with LADA and 2,927 adults with type 2 diabetes (mean age, 57.7 years, 57.3% women, mean BMI, 25.1 kg/m2). The participants were consecutively enrolled in the first group and randomly chosen for the second. All participants were recruited from July 2005 to December 2015. All participants were continuously monitored for 72 hours with a retrospective CGM system (Medtronic Inc, Northridge, CA, USA). Fundus photography was then used to confirm diabetic retinopathy (DR).
The investigators found that found that diabetic retinopathy was more common among those with type 2 diabetes than in those with LADA (26.4% versus 20.3%). Diabetic retinopathy was significantly linked to age, diabetes duration, systolic blood pressure, HbA1c and measurements of glycemic variability in participants with type 2 diabetes based on univariate logistic regression. In participants with LADA, diabetes duration, systolic BP and diastolic BP were the lone risk factors for diabetic retinopathy. They also noted that, overall, participants with LADA weighed less, had better BP and lipid profiles as well as higher glycemic variability and lower fasting C-peptide than those with type 2 diabetes.
The authors concluded that their study provided evidence that intraday glycemic variability (GV), as assessed by continuous glucose monitoring (CGM), was associated with the presence of DR in type 2 diabetes mellitus patients, but not in LADA patients, suggesting that GV should be minimized to decrease the risk of DR in type 2 diabetes mellitus, whereas achieving an optimal HbA1c without increasing the risk of hypoglycemia might be the primary goal in the treatment of LADA. The study was first published on October 10, 2018, in the Journal of Diabetes Investigation.
LADA manifests as a wide spectrum of heterogeneous clinical and metabolic phenotypes that are midway between those of classic type 1 diabetes mellitus and type 2 diabetes mellitus. It is estimated that LADA accounts for 4% to14% of patients with a diagnosis of type 2 diabetes mellitus.
Scientists affiliated with the Shanghai Jiao Tong University (Shanghai Shi, China) conducted a cross-sectional analysis of 192 adults (mean age, 56.4 years; 47.9% women; mean BMI, 23.2 kg/m2) with LADA and 2,927 adults with type 2 diabetes (mean age, 57.7 years, 57.3% women, mean BMI, 25.1 kg/m2). The participants were consecutively enrolled in the first group and randomly chosen for the second. All participants were recruited from July 2005 to December 2015. All participants were continuously monitored for 72 hours with a retrospective CGM system (Medtronic Inc, Northridge, CA, USA). Fundus photography was then used to confirm diabetic retinopathy (DR).
The investigators found that found that diabetic retinopathy was more common among those with type 2 diabetes than in those with LADA (26.4% versus 20.3%). Diabetic retinopathy was significantly linked to age, diabetes duration, systolic blood pressure, HbA1c and measurements of glycemic variability in participants with type 2 diabetes based on univariate logistic regression. In participants with LADA, diabetes duration, systolic BP and diastolic BP were the lone risk factors for diabetic retinopathy. They also noted that, overall, participants with LADA weighed less, had better BP and lipid profiles as well as higher glycemic variability and lower fasting C-peptide than those with type 2 diabetes.
The authors concluded that their study provided evidence that intraday glycemic variability (GV), as assessed by continuous glucose monitoring (CGM), was associated with the presence of DR in type 2 diabetes mellitus patients, but not in LADA patients, suggesting that GV should be minimized to decrease the risk of DR in type 2 diabetes mellitus, whereas achieving an optimal HbA1c without increasing the risk of hypoglycemia might be the primary goal in the treatment of LADA. The study was first published on October 10, 2018, in the Journal of Diabetes Investigation.
Latest Clinical Chem. News
- FDA-Approved Test Identifies Low Risk of Large Esophageal Varices in Cirrhosis
- Blood Protein Signature Diagnoses Pediatric IBD and Distinguishes Subtypes
- Blood Test Detects More High-Risk Prostate Cancers Than PSA
- Rapid Blood Test Aids Diagnosis of Acute Ischemic Stroke
- Blood-Based Alzheimer’s Testing Platform Offers Rapid Results
- Maternal Blood Biomarkers Identify Risk of Preterm and Early-Term Birth
- Simple Oral Swab Monitors Persistent Inflammation in Primary Ciliary Dyskinesia
- Simple Blood-Based Cholesterol Efflux Assay Identifies High-Risk Coronary Plaque Features
- Plasma Vitamin C Levels Associated with Brain Structure and Connectivity in Aging
- Mass Spectrometry Detects Tumor Metabolites for Cancer Monitoring
- Urinary Biomarker Assay Predicts Kidney Disease Progression Beyond Standard Measures
- Saliva-Based Test Detects Biochemical Signs of Sleep Loss
- Simple Dual-Tau Blood Test Detects and Stages Alzheimer’s Disease
- Alzheimer’s Blood Biomarkers Linked to Early Cognitive Differences Before Dementia
- Urine-Based Test Shows Promise for Autism Screening in Children
- Blood-Based Sensor Detects Early Signs of Alzheimer’s and Parkinson’s
Channels
Molecular Diagnostics
view channel
New Molecular Marker Helps Predict Multiple Myeloma Prognosis
Multiple myeloma is a bone marrow cancer marked by resistance to therapy and frequent relapse, complicating long-term disease control. Better molecular markers are needed to refine risk assessment and... Read more
Blood-Based RNA Biomarker Improves Prediction of Alzheimer’s Onset
Timely identification of patients approaching symptomatic Alzheimer’s disease (AD) remains a major clinical challenge, even as blood-based biomarkers continue to advance. Current assays are highly effective... Read moreHematology
view channel
Next-Generation Hematology Platform Streamlines High-Complexity Lab Workflows
Sysmex America (Chicago, IL, USA) has introduced the next generation XR-Series, centered on the XR-10 Automated Hematology Module for high-complexity laboratories. The platform builds on the widely used... Read more
Blood Eosinophil Count May Predict Cancer Immunotherapy Response and Toxicity
Immune checkpoint inhibitors have improved outcomes across many cancers, yet only a subset of patients derive durable benefit and biomarkers to guide treatment remain limited. Eosinophils, best known for... Read moreImmunology
view channel
Anti-Lipid Antibody Biomarkers May Identify Early Lyme Disease and Persistent Symptoms
Lyme disease is often missed during its earliest and most treatable stage, while current serologic assays cannot distinguish active infection from prior exposure. Nearly half a million Americans are diagnosed... Read more
Emergency Department Opt-Out Testing Program Identifies Undiagnosed HIV
Undiagnosed HIV continues to drive avoidable morbidity and transmission, with many people identified only after substantial immune damage has occurred. In England, about one in 20 people living with HIV... Read more
Immune Biomarkers Could Identify Risk of Chronic Critical Illness on ICU Admission
Severe traumatic injury can trigger immune and organ dysfunction that complicates recovery in the intensive care unit. A subset of patients develop chronic critical illness, defined as dependence on intensive... Read moreMicrobiology
view channel
Rapid Gastrointestinal PCR Panels Deliver One-Hour Results
Acute infectious gastroenteritis remains a major cause of illness worldwide, especially in young children, older adults, and immunocompromised patients. Nonspecific symptoms such as diarrhea, vomiting,... Read more
H. pylori Screening Within Colorectal Program Aids Gastric Cancer Prevention
Health systems increasingly rely on economic evidence to guide cancer prevention strategies. For gastric cancer, selecting screening approaches that can integrate with existing programs is a key policy question.... Read more
Machine Learning Reveals Consistent Gut Microbiome Patterns in Colorectal Cancer
Colorectal cancer has been repeatedly linked to alterations in the gut microbiome, yet findings have often varied across small, heterogeneous studies. Reproducibility has been limited by differing sequencing... Read morePathology
view channel
AI Pathology Tool Predicts Immunotherapy Response in Rare Cancers
Immunotherapy has transformed care for select malignancies, yet predicting which patients with rare cancers are most likely to benefit remains challenging. Clinicians often have only limited biomarkers... Read more
Uncertainty-Aware AI Tool Improves Digital Pathology for Cancer Subtyping
Reliable histologic subtyping guides therapy selection in oncology, yet diagnostic workflows grow more complex as whole-slide imaging and artificial intelligence (AI) expand. A persistent obstacle to clinical... Read moreTechnology
view channel
AI Platform Links Biomarker Results to Cancer Clinical Trials and Guidelines
Oncology teams must manage growing volumes of genomic data, rapidly evolving clinical trial options, and frequently updated care guidelines, all within tight clinic schedules. Translating complex tumor... Read more
Agentic AI Platform Supports Genomic Decision-Making in Oncology
Oncology care teams increasingly face the challenge of managing complex molecular diagnostics, evolving treatment options, and extensive electronic health record documentation. Translating multimodal data... Read moreIndustry
view channel
Partnership Integrates Automated DNA Extraction with Single-Molecule Digital PCR
Countable Labs (Palo Alto, CA, USA) and Promega (Madison, WI, USA) have entered a co-marketing agreement that integrates the Promega Maxwell System for nucleic acid extraction with Countable Labs’ Countable... Read more








