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How much higher is the rate of cardiovascular (CV) death among unmarried vs married patients who are at high CV risk, according to a recent study? A. 19% B. 28% C. 34% D. 45% E. 56% Follow the link for the answer.

For a patient with type 2 who has an A1c of 8% and is on metformin, has tried diet change and exercise, and is 25 pounds overweight, which of the following would you prefer: GLP-1, SGLT-2, or something else? Follow the link to share your opinion.

Man, 52 years of age, with obesity and type 2 diabetes, was switched from daily liraglutide (Victoza) 1.8mg to weekly semaglutide (Ozempic) 0.25mg. I was very clear with patient about the switch being from a daily injection to a weekly and that we would be increasing the semaglutide weekly.

In this week's Homerun Slides, a closer look at the Systolic Blood Pressure Intervention Trial (SPRINT).

The foregoing observations have detailed the best established risk factors associated with insulin resistance as well some novel emerging risk factors as additionally detailed in Table 23.2, including nutritional measures such as Vitamin D. These are not comprehensive but rather a selection of emerging pathways of interest. Clearly, future research should increasingly harness genetics as well as observational data to better determine causal risk pathways. Similarly, further data are needed to better determine the extent to which insulin resistance is, or is not, linked to cardiovascular risk.

Surprise findings for treatment class and appropriate patient selection

In results of five trials, effects of antihyperglycemic drug found to occur during first few months or years.

Software provides screening decision without need for a clinician to interpret image or results.

By A. Paul Chous, MA, OD, FAAO, CDE

The FDA just gave first approval to an artificial intelligence (AI) algorithm for the detection of diabetic retinopathy in the offices of non-ophthalmic health care practitioners. Dubbed the IDx-DR (IDx, LLC, Coralville, Iowa), and paired with a Topcon NW400 non-mydriatic retinal camera, captured images are sent to a cloud-based server that utilizes the IDx-DR software and a ‘deep learning’ algorithm to detect retinal findings consistent with diabetic retinopathy based on autonomous comparison with a large dataset of representative fundus images.

Prospective study evaluates use of nasal glucagon for treatment of moderate to severe hypoglycemia in adults with type 2 diabetes.