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
- Existing Hospital Analyzers Can Identify Fake Liquid Medical Products
- Rapid Blood Testing Method Aids Safer Decision-Making in Drug-Related Emergencies
- New PSA-Based Prognostic Model Improves Prostate Cancer Risk Assessment
- Extracellular Vesicles Linked to Heart Failure Risk in CKD Patients
- Study Compares Analytical Performance of Quantitative Hepatitis B Surface Antigen Assays
- Blood Test Could Predict and Identify Early Relapses in Myeloma Patients
- Compact Raman Imaging System Detects Subtle Tumor Signals
- Noninvasive Blood-Glucose Monitoring to Replace Finger Pricks for Diabetics
- POC Breath Diagnostic System to Detect Pneumonia-Causing Pathogens
- Online Tool Detects Drug Exposure Directly from Patient Samples
- Chemical Imaging Probe Could Track and Treat Prostate Cancer
- Mismatch Between Two Common Kidney Function Tests Indicates Serious Health Problems
- VOCs Show Promise for Early Multi-Cancer Detection
- Portable Raman Spectroscopy Offers Cost-Effective Kidney Disease Diagnosis at POC
- Gold Nanoparticles to Improve Accuracy of Ovarian Cancer Diagnosis
- Simultaneous Cell Isolation Technology Improves Cancer Diagnostic Accuracy
Channels
Molecular Diagnostics
view channel
New Extraction Kit Enables Consistent, Scalable cfDNA Isolation from Multiple Biofluids
Circulating cell-free DNA (cfDNA) found in plasma, serum, urine, and cerebrospinal fluid is typically present at low concentrations and is often highly fragmented, making efficient recovery challenging... Read more
AI-Powered Liquid Biopsy Classifies Pediatric Brain Tumors with High Accuracy
Liquid biopsies offer a noninvasive way to study cancer by analyzing circulating tumor DNA in body fluids. However, in pediatric brain tumors, the small amount of ctDNA in cerebrospinal fluid has limited... Read moreHematology
view channel
Rapid Cartridge-Based Test Aims to Expand Access to Hemoglobin Disorder Diagnosis
Sickle cell disease and beta thalassemia are hemoglobin disorders that often require referral to specialized laboratories for definitive diagnosis, delaying results for patients and clinicians.... Read more
New Guidelines Aim to Improve AL Amyloidosis Diagnosis
Light chain (AL) amyloidosis is a rare, life-threatening bone marrow disorder in which abnormal amyloid proteins accumulate in organs. Approximately 3,260 people in the United States are diagnosed... Read moreImmunology
view channel
New Biomarker Predicts Chemotherapy Response in Triple-Negative Breast Cancer
Triple-negative breast cancer is an aggressive form of breast cancer in which patients often show widely varying responses to chemotherapy. Predicting who will benefit from treatment remains challenging,... Read moreBlood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read more
Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
Targeted cancer therapies such as PARP inhibitors can be highly effective, but only for patients whose tumors carry specific DNA repair defects. Identifying these patients accurately remains challenging,... Read more
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read moreMicrobiology
view channel
Rapid Test Promises Faster Answers for Drug-Resistant Infections
Drug-resistant pathogens continue to pose a growing threat in healthcare facilities, where delayed detection can impede outbreak control and increase mortality. Candida auris is notoriously difficult to... Read more
CRISPR-Based Technology Neutralizes Antibiotic-Resistant Bacteria
Antibiotic resistance has accelerated into a global health crisis, with projections estimating more than 10 million deaths per year by 2050 as drug-resistant “superbugs” continue to spread.... Read more
Comprehensive Review Identifies Gut Microbiome Signatures Associated With Alzheimer’s Disease
Alzheimer’s disease affects approximately 6.7 million people in the United States and nearly 50 million worldwide, yet early cognitive decline remains difficult to characterize. Increasing evidence suggests... Read morePathology
view channel
Single Sample Classifier Predicts Cancer-Associated Fibroblast Subtypes in Patient Samples
Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest cancers, in part because of its dense tumor microenvironment that influences how tumors grow and respond to treatment.... Read more
New AI-Driven Platform Standardizes Tuberculosis Smear Microscopy Workflow
Sputum smear microscopy remains central to tuberculosis treatment monitoring and follow-up, particularly in high‑burden settings where serial testing is routine. Yet consistent, repeatable bacillary assessment... Read more
AI Tool Uses Blood Biomarkers to Predict Transplant Complications Before Symptoms Appear
Stem cell and bone marrow transplants can be lifesaving, but serious complications may arise months after patients leave the hospital. One of the most dangerous is chronic graft-versus-host disease, in... Read moreTechnology
view channel
Blood Test “Clocks” Predict Start of Alzheimer’s Symptoms
More than 7 million Americans live with Alzheimer’s disease, and related health and long-term care costs are projected to reach nearly USD 400 billion in 2025. The disease has no cure, and symptoms often... Read more
AI-Powered Biomarker Predicts Liver Cancer Risk
Liver cancer, or hepatocellular carcinoma, causes more than 800,000 deaths worldwide each year and often goes undetected until late stages. Even after treatment, recurrence rates reach 70% to 80%, contributing... Read more
Robotic Technology Unveiled for Automated Diagnostic Blood Draws
Routine diagnostic blood collection is a high‑volume task that can strain staffing and introduce human‑dependent variability, with downstream implications for sample quality and patient experience.... Read more
ADLM Launches First-of-Its-Kind Data Science Program for Laboratory Medicine Professionals
Clinical laboratories generate billions of test results each year, creating a treasure trove of data with the potential to support more personalized testing, improve operational efficiency, and enhance patient care.... Read moreIndustry
view channel
QuidelOrtho Collaborates with Lifotronic to Expand Global Immunoassay Portfolio
QuidelOrtho (San Diego, CA, USA) has entered a long-term strategic supply agreement with Lifotronic Technology (Shenzhen, China) to expand its global immunoassay portfolio and accelerate customer access... Read more







