Female, 28 years of age, diagnosed with type 1 diabetes at age 25. She was taught to manage her diabetes with a basal/bolus insulin regimen and meal plan prescribed by health care team. She was taught she could eat anything she wanted as long as she covered her carbs with rapid-acting insulin. Her glucose was in control, but she gained 50 pounds over the first year. She then attributed her weight gain to taking insulin, so she would not take enough insulin to cover her glucose levels.

Type 1 indicates the processes of β-cell destruction that may ultimately lead to diabetes in which insulin is required for survival in order to prevent the development of ketoacidosis, coma, and death.

Diabetes in Control Publisher Steve Freed and Dr. Richard Bergman, founder and director of Diabetes and Obesity Research Institute, Biomedical Sciences at Cedars-Sinai in Los Angeles, discuss the ability to predict the development of type 2 diabetes and the role A1c might play in this prediction.

A 39-year-old, overweight (BMI 27 kg/m2) patient comes into your office for his annual wellness examine. Routine labs show random plasma glucose of 176 mg/dL, so you ask him to return for a fasting plasma glucose and A1C. The results show a FPG 139 mg/dL and A1C of 7.7%. He is resistant to the idea of starting medication and is very keen on pursuing a trial period of dietary modifications and an exercise program, especially after you tell him about the benefits of moderate exercise on diabetes. Which of the following statements about exercise is true? Follow the link to answer!

A known link between low testosterone levels and decreased insulin sensitivity could lead to a treatment for men with type 2.

Positive effects can be seen decades later.

To maintain the benefits while minimizing risk, consider patient risk factors when prescribing, and monitor for DKA and UTI.

Study finds insulin secretion returns to normal with one-gram fat loss.

Do you test your male patients with diabetes for testosterone?

According to Jenise Wong, MD, PhD, of the University of California San Francisco, who reported the results at an oral session at the joint meeting of the Endocrine Society and the International Congress on Endocrinology, “We need to really equip patients with better tools and education on how to use their data.” David Kliff responds: Now some would argue that this is why IDM is needed, as it not only collects and transmits data, but it provides for an easy interaction between the patient and their healthcare team; that it’s the healthcare team that’s doing all the data analytics; that all the patient needs to do is collect the data; and that this focus on data can actually make a patient tune out even when they are getting good advice. Here is a perfect example of what we are talking about. Read more