Factors Identified That Predict Glycemia Trajectory in Type 2 Diabetes
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| | | A 54-year-old man was referred to the pharmacotherapy clinic by his primary care provider (PCP) for a therapy consult. The patient had a past medical history significant for type 2 diabetes, hypertension, dyslipidemia, and obesity. When asked about his priorities for care, he desired to decrease the frequency of his hypoglycemic events and to lose weight. The patient reports blood glucose readings ranging from 52-65 mg/dL two or three times weekly with pronounced rebound hyperglycemia. He had a private insurance plan with low copays. His current A1C was 7.9%. He weighed 240 pounds and had a BMI of 34.4 kg/m2. Read more to learn medication regimen, recommendations, and lessons learned. |
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Researchers extracted data covering primary and specialized health care for 9,631 patients with type 2 diabetes. Six-year hemoglobin A1c (HbA1c) trajectories were examined. To predict trajectory membership, a linear discriminant analysis and neural networks were applied. |
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Colleagues examined the acute effects of multiple doses of a sedentary break intervention (light-intensity walking) on cardiometabolic risk factors. Eleven middle- and older-aged adults completed eight-hour conditions on five separate days, including one uninterrupted sedentary (control) condition and four acute (experimental) trials that entailed different sedentary break frequency/duration combinations. |
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