A patient develops diabetes in adulthood, so Type 2 diabetes may seem like the obvious diagnosis. However, what if that patient also has chronic pancreatitis, unexplained weight loss, pancreatic surgery, or symptoms of poor nutrient absorption? Those details can change the clinical picture. Careful evaluation can reveal Type 3c diabetes …
Read More »One Drug Isn’t Enough: When Should Clinicians Combine Treatments for Painful Diabetic Neuropathy?
Finding the right diabetic neuropathy pain treatment can be challenging when a well-chosen first medication provides only partial relief. Burning, shooting pain, tingling, and allodynia can continue to disrupt sleep, mobility, mood, and daily function. Fortunately, clinicians do not always have to choose between abandoning a partially effective drug and …
Read More »Diagnosed Younger: Does Type 1 Onset Shape Later Risk?
Does being diagnosed with type 1 diabetes at age 6 carry the same long-term risks as being diagnosed at 16? Researchers have been asking that question for years. Increasingly, evidence suggests that age at type 1 diabetes onset may help explain differences in complication patterns later in life. However, age …
Read More »After Gestational Diabetes, Could Your Neighborhood Shape Your Future Type 2 Risk?
Diabetes prevention remains important long after a pregnancy affected by gestational diabetes. For people who have had gestational diabetes, the years after delivery are an important window for lowering the risk of Type 2 diabetes. Yet healthy choices do not happen in a vacuum. Where someone lives may affect whether …
Read More »Beyond hs-CRP: Could suPAR Reveal Hidden Heart Risk in Type 2 Diabetes?
People with type 2 diabetes can face substantial cardiovascular risk even when clinicians address familiar risk factors such as LDL cholesterol, blood pressure, smoking, and blood glucose. Could another blood marker help reveal some of the risk that remains? Emerging research on the suPAR biomarker in diabetes suggests it may …
Read More »Two Shots a Year for Hypertension? How RNA Silencing Could Transform Cardiometabolic Care
Poor medication persistence remains one of the hardest barriers to long-term blood pressure control. For people with diabetes, the stakes are especially high because hypertension adds to cardiovascular and kidney risk. Now, research into RNAi for hypertension in people with diabetes is raising an intriguing possibility: could an injection given …
Read More »GLP-1s and Vision Loss: What Prescribers Should Know About the Emerging NAION Signal
GLP-1 receptor agonists have transformed type 2 diabetes and obesity treatment, but a rare vision safety signal deserves clinicians’ attention. Emerging evidence has raised concerns about a potential NAION risk with GLP-1 therapy, particularly with semaglutide (Ozempic, Rybelsus, and Wegovy). Non-arteritic anterior ischemic optic neuropathy (NAION) can cause sudden, usually …
Read More »Why Are We Ignoring the Gold Standard for Healing Diabetic Foot Ulcers?
Diabetic foot ulcer offloading is one of the most important parts of treating a neuropathic plantar ulcer, yet the most effective approaches are still not routinely used. Non-removable knee-high devices, including total contact casts and non-removable walkers, can reduce damaging pressure while supporting wound healing. So why does a treatment …
Read More »When Diabetes Technology Damages the Skin: Keeping Patients on CGMs and Insulin Pumps
Continuous glucose monitors (CGMs) and insulin pumps can transform diabetes management, but the technology only works when patients can comfortably keep wearing it. CGM skin irritation can turn a valuable device into a daily source of itching, redness, pain, or damaged skin. In some cases, the reaction becomes severe enough …
Read More »Your Eye Exam May Be Predicting More Than Vision Loss: AI Is Finding Hidden Diabetes Risks
For people with diabetes, a retinal photograph has traditionally answered one major question: Is diabetic retinopathy developing? However, artificial intelligence is beginning to uncover much more. Emerging retinal AI models for systemic risk assessment can detect patterns associated with cardiovascular disease, kidney disease, blood pressure, and metabolic health. As a …
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