Few treatments for type 1 diabetes have been as elusive and long-promised as inhalable insulin. The concept has always sounded remarkable: Instead of jabbing themselves with needles, type 1s (and insulin-using type 2s) could take a quick puff on an inhaler to get a dose of insulin.
A simple algorithm used to scan electronic health records could be a breakthrough in identifying cases of type 2 diabetes, according to a study published in BMC Medical Informatics and Decision Making. And that could lead to timely treatment and prevention of diabetes complications.
It was more than two decades ago, and Penny Hildreth was already feeling overwhelmed by life when she learned that she had type 1 diabetes. She was pregnant with her second child and worried about the baby’s safety after a car accident that had left Hildreth with a broken collarbone, a broken rib, and a punctured spleen. It was the spleen injury that ultimately led to her diagnosis of diabetes, but she was more concerned about the baby, a little girl who was born healthy despite the automobile accident. “I always say that she’s my miracle,” says the 46-year-old Portland resident.
As diabetes climbs to epidemic levels in the United States, and finding adequate resources to fund future U.S. healthcare remains in question, the need for an already existing "boots on the ground" group that can address the disease is greater than ever.
Swedish researchers report that a drop in A1C of less than one percentage point can lower the risk of death from cardiovascular disease among people with diabetes by nearly half. Specifically, they found that patients who reduced their A1C from 7.8% to 7.0% decreased their risk of dying from cardiovascular disease by 45 percent.
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