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Greetings from the American Diabetes Association’s 70th Scientific Sessions

Daily highlights from the American Diabetes Association 70th Scientific Sessions.
From June 25-29, the editors of Medical Economics and Advanstar Communications' other primary care and pharmacy publications will bring you the latest news from Orlando.

Welcome
Greetings from the American Diabetes Association’s 70th Scientific Sessions

June 28 – Orlando — The editorial staff of Medical Economics brings you daily coverage of breaking news, the latest research findings, and reports of interest to the readers of Medical Economics, Drug Topics, Formulary, and Contemporary OB/GYN.

Our five-day coverage of this year’s American Diabetes Association’s 70th Scientific Sessions includes the results of major clinical trials and ongoing news and information of interest to clinicians who treat type 1 and 2 diabetes.



BREAKING NEWS

HbA1clevels correlate strongly to future diabetes, cardiovascular risk
Elizabeth Selvin, PhD
An ancillary study to the ARIC (Atherosclerosis Risk in Communities) study supports the most recent (2010) ADA risk categories of hemoglobin (Hb) A1c in identifying future risk of developing diabetes and macrovascular and microvascular disease. The data were presented by Elizabeth Selvin, PhD.
          The ADA now recommends the use of HbA1c for the diagnosis of diabetes and identification of persons at increased risk for diabetes. The ADA defines an HbA1c of 5.7% to less than 6.5% as “high risk” for the future development of diabetes.
          In this analysis, 11,092 participants from ARIC, a large community-based epidemiologic study, without cardiovascular disease or diabetes at baseline had HbA1c measured from stored whole blood samples obtained between 1990 and 1992. Participants were followed for 15 years.
          “In individuals with an A1c of 5.7% to less than 6.5%, which is the group identified as high risk for the development of diabetes and other complications, we see a very high risk of the subsequent development of diabetes. We can also see that individuals in that range are at risk for kidney disease, CHD [coronary heart disease], and stroke,” said Selvin, assistant professor of epidemiology and medicine at Johns Hopkins in Baltimore.
          Compared with the reference population with an HbA1c level of 5% to less than 5.7%, those in the high-risk category of 5.7% to less than 6.5% had more than triple the risk of diagnosed diabetes, a 60% increase in the risk of CHD, a 56% increase in the risk of stroke, a 62% increased risk of end-stage renal disease, and a 42% increase in all-cause mortality, all adjusted for age, sex, race, and other potential confounders.
          These risks were even greater in the cohort with HbA1c levels of 6.5% or greater at baseline.
          “The vast majority of individuals with HbA1c greater than 6.5% will subsequently be diagnosed with diabetes during follow-up, and they’re at very high risk of kidney disease and have almost 4 times the risk of developing end-stage renal disease compared to those people in the normal range, and a 2-fold increased risk of developing CHD or stroke or dying during follow-up,” she said.
          More than 20% of the group with HbA1c values of 5.7% to less than 6.5% and almost 80% of those with values of 6.5% or greater developed diabetes within 10 years.


CLINICAL TRIAL RESULTS

One-year data on exenatide show that improvements in HbA1c and CV risk markers are maintained
In patients with type 2 diabetes, treatment with exenatide once weekly for 1 year results in sustained improvements in glycemic control, body weight, cardiovascular risk markers, and markers of hepatic injury, according to a pooled analysis of 2 large clinical trials. The data were presented by Edward Horton, MD, associate program director, Joslin Clinical Research Center, Boston.
          The analysis included 223 patients who were treated with exenatide during the first 52 weeks of the DURATION-1 and DURATION-2 randomized clinical trials of patients with type 2 diabetes and baseline hemoglobin (Hb) A1c values of 7.1% to 11%. Patients in these trials were on background therapy with either diet and exercise, metformin, a sulfonylurea, or a thiazolidinedione (or 2 such agents in combination).
          Levels of HbA1c declined by a mean of more than 0.8% by 6 weeks of treatment with exenatide, a reduction that was maintained to 52 weeks with continuation of weekly exenatide (final mean reduction in HbA1c, 1.5%).
          Similarly, the mean fasting plasma glucose level improved by more than 35 mg/dL at 6 weeks, with a final reduction of 37 mg/dL at week 52.
          At 52 weeks, 65% of exenatide-treated patients achieved the ADA HbA1c target of less than 7%.
          A significant reduction in body weight was observed by week 6; and at week 52, the mean reduction in body weight from baseline was 3.0 kg.
          Significant reductions in systolic blood pressure, diastolic blood pressure, high-density lipoprotein cholesterol, and levels of the hepatic injury markers alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were also observed with exenatide for 52 weeks.
          The incidence of minor hypoglycemia was 5%, and there were no instances of major hypoglycemia with exenatide.


“Diabesity” strongly associated with increased frequency of macrosomia
Boyd E Metzger, MD
Gestational diabetes and obesity, either separately or in combination (known as diabesity) are strongly associated with an increased frequency of delivering a high birth weight child, said Boyd E Metzger, MD.
          The finding comes from an analysis of the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study, which was designed to find the level of glucose tolerance, short of diabetes, that is associated with risk of adverse outcome.
          The study included 23,316 pregnant women who underwent 75-g oral glucose tolerance testing at 24 to 32 weeks’ gestation and whose glucose levels were blinded to caregivers. The main study, published in 2008, found continuous, independent associations of measures of maternal glycemia and body mass index (BMI) at the 75-g oral glucose tolerance test with predefined perinatal outcomes (increased birth weight and increased cord-blood serum C-peptide levels).
          For the present analysis, the relative contributions of gestational diabetes and maternal obesity to risk of macrosomia (birth weight of 4,000 g or greater) were examined.
          Maternal BMI was classified as nonobese or obese by modification of the 2009 Institute of Medicine recommendations.
          The observed number of cases of macrosomia in the nonobese group with gestational diabetes was 286, compared to an expected number of 186, for an excess number of 100 cases.
          “Obesity was associated with a 2-fold higher frequency of macrosomia” whether or not the women had gestational diabetes, said Metzger, professor of metabolism and nutrition, division of endocrinology, metabolism, and molecular medicine, Northwestern University, Chicago. Among the obese group, the excess number of cases of macrosomia was 154 in the group without gestational diabetes (151 expected, 305 observed) and 126 in the group with gestational diabetes (63 expected, 189 observed).
          In the 380 total instances of excess macrosomia, gestational diabetes only was present in 26%, gestational diabetes plus obesity was present in 33%, and obesity only was present in 41%.
          In 2009, a task force of the International Association of Diabetes and Pregnancy Study Groups recommended that the diagnosis of gestational diabetes be made when 1 or more of the following thresholds is met or exceeded: fasting plasma glucose of 92 mg/dL (5.1 mmol/L); 1-hour plasma glucose of 180 mg/dL (10 mmol/L); 2-hour plasma glucose of 153 mg/dL (8.5 mmol/L). These proposed diagnostic criteria are based on their predictive value for adverse pregnancy outcomes from the original HAPO study.


Liraglutide clinical trial program suggests higher rates of achievement of HbA1c targets without weight gain or hypoglycemia versus active comparators
A post hoc analysis of 5 clinical trials of liraglutide suggests that it was significantly better than active comparators on a composite endpoint of hemoglobin (Hb) A1c less than 7% without hypoglycemia or weight gain, reported French investigators.
          Five of 6 clinical trials in the phase 3 Liraglutide Effect and Action in Diabetes (LEAD) program compared liraglutide to active comparators (glimepiride, rosiglitazone, insulin glargine, or exenatide) in patients with type 2 diabetes.
          In these trials, which had as their primary endpoint a reduction in HbA1c levels, a reduction of HbA1c of 1.0% to 1.5% was observed with liraglutide 1.8 mg at 26 weeks, together with weight loss, no major hypoglycemic events, and a very low frequency of minor hypoglycemia, said Bernard Charbonnel, MD, professor of endocrinology and metabolic diseases at the University of Nantes, France, and head of the internal medicine, endocrinology and diabetes department at the Hôtel Dieu (University Hospital of Nantes).
          A composite endpoint of achievement of an HbA1c target of less than 7% with no hypoglycemia and no weight gain was assessed for all comparisons in the trials, all of which were 26 weeks in duration. All 3 components of the composite endpoint are key factors in developing treatment recommendations, notes Charbonnel. (This composite endpoint was not a predefined endpoint of the studies.)
  • In LEAD-3, the composite was achieved by 32.4% of patients randomized to 1.2 mg/d of liraglutide, 38.2% of those randomized to 1.8 mg/d of liraglutide, and 7.7% of those assigned to 8 mg/d of glimepiride (P<.0001 for both liraglutide vs glimepiride comparisons).
  • In LEAD-2, the proportion of patients reaching this endpoint did not differ significantly between the liraglutide and glimepiride groups.
  • In each LEAD trial, significantly more patients treated with liraglutide 1.2 mg/d or 1.8 mg/d reached the composite endpoint (range, 16.1% -38.8%) than those treated with comparators (range, 3.6%-28.9%), with P values that ranged from .0076 to <.0001.
  • When used in combination with metformin, significantly more patients on liraglutide achieved the composite endpoint (range, 31.2%-34.7%) than with glimepiride 4 mg/d combined with metformin (12.9%; P<.0001). There was no significant difference between the groups on the primary endpoint of a reduction in HbA1c level.

NEW RESEARCH

Diet can affect type 2 diabetes risk
Lawrence de Koning, PhD
Dietary choices can have a discernable effect on the risk of developing type 2 diabetes. That conclusion is based on analysis of men in the Health Professionals Follow-Up Study (HPFS), which followed 41,212 men for up to 20 years.
         “It is important to replace red and processed meats with other choices, chicken and fish and especially vegetable protein sources,” said Lawrence de Koning, PhD, postdoctoral fellow, Harvard School of Public Health, Boston. “The data show us that vegetable-based protein does not elevate the risk of diabetes and may very well be protective.”
          It has long been recognized that low-carbohydrate diets appear to be protective for cardiovascular and other diseases. Low-carbohydrate diets are also frequently used for weight loss. But the relationship between low-carbohydrate diets and type 2 diabetes risk is less clear, de Koning said.
          Researchers analyzed food consumption reports submitted every 4 years by the HPFS participants and the occurrence of type 2 diabetes to assess dietary risk factors. Food questionnaire responses were used to score 3 low-carbohydrate diets: high-total protein/fat, high-animal protein/fat, and high-vegetable protein/fat.
          There were 2,761 cases of type 2 disease reported during the follow-up period. Hazard ratios (HRs) were calculated after adjusting for age, smoking, physical activity, body-mass index, coffee and alcohol use, family history of diabetes, and total energy. The high-animal protein/fat diet carried the highest risk for type 2 diabetes (HR, 1.41; P<.0001), followed by the high-total protein/fat diet (HR, 1.32; P <.0001), and the high-vegetable protein/fat diet (HR, 0.93; P=.44).
          The high-total protein/fat diet lost its type 2 diabetes risk after adjusting for animal protein and fat. The HR associated with the high-animal protein/fat diet was reduced to 1.19 (P=.01) after adjusting for red and processed meats, but there was no change in risk after adjusting for poultry or fish.
          “The risk relationship with red and processed meats is linear,” de Koning said. “At low levels of intake, you might have a low level of risk that can be offset by some other protective factor such as more exercise.”
          Results of the HPFS analysis suggest that the key to reducing type 2 diabetes risk is to follow a prudent diet that is high in whole grains, moderate in alcohol, and low in red and processed meats, sodium, and sugar-sweetened beverages.


Blame calories, not fructose
 Julie Miller Jones, PhD, CNS, LN
Fructose is the sugar consumers love to hate. It gets the blame for obesity, metabolic syndrome, and a variety of dietary ills.
         “Fructose has become the new trans fat,” said Julie Miller Jones, PhD, CNS, LN, professor emeritus, St Catherine University, St Paul, Minnesota. “Consumers are trying to avoid it, especially in the form of high-fructose corn syrup. That’s an unfortunate name because the fructose concentration isn’t high.”
          High-fructose corn syrup contains 42% to 55% fructose, Jones told a Sunday-morning symposium, Dietary Sweeteners Containing Fructose—Effects on Metabolism and Impact in the Food Supply. That is similar to many common fruits and vegetables and lower than the 66% fructose found in apples and pears. Agave, often marketed as a natural sweetener, contains 85% fructose.
          The problem, Jones continued, is too much sugar and too many calories. “You can get a $0.69 Big Gulp that delivers 800 calories and not a single nutrient,” she said. “A calorie is a calorie, whether it comes from glucose or fructose or a jelly donut.”
 Kimber Stanhope, PhD
          Excess dietary sugar is associated with increased body weight, lipids, blood pressure, and insulin resistance, continued Kimber Stanhope, PhD, associate project scientist in molecular biosciences, University of California, Davis. Excess fructose is associated with distinct metabolic effects.
          Recent human studies have found that fructose is associated with increased visceral fat, whereas glucose is associated with increased subcutaneous fat. Fructose also decreases insulin and leptin and elevates triglycerides compared with glucose. Both sugars produce similar weight gains.
          “A calorie is not just a calorie when it comes to metabolic syndrome risk factors,” Stanhope said.
 Michele Doucette, PhD, RN
          Weight gain and obesity are the overriding concerns when it comes to type 2 diabetes, noted Michele Doucette, PhD, RN, assistant professor of family medicine, University of Colorado, Denver. Don’t eliminate fructose; reduce the total caloric intake.
          The risk for type 2 diabetes is 2 to 7 times higher in obese persons compared with normal-weight persons and 20 times higher when body mass index exceeds 35.
          “What is important is the total amount of calories, not the source, in terms of weight gain,” Doucette said. “What is really driving the obesity epidemic is energy balance.” Obesity is the result of multiple factors, including genetics, food consumption, activity level, food access and availability, urbanization, and more, she continued. Portion size is an obvious problem.
          The 7-ounce cup of coffee with milk and 85 calories has morphed into a 16-ounce giant that is mostly milk and delivers 480 calories. The 12-ounce soda, 160 calories, has largely been replaced by the 20-ounce, 240-calorie version.
          “We are eating too much of too many foods that are energy rich and nutrient poor,” Doucette said. The remedy, she added, is to help patients eat more wisely so that they consume fewer calories and increase their activity level.


Bolster self-determination to boost exercise motivation
Shane Sweet, MA
Exercise research has found that boosting patients’ self-determination is an effective way to improve their motivation to exercise. The results were presented during an oral presentation, Practical Issues in Diabetes and Exercise on Sunday afternoon.
         “The number one reason people give for not exercising is lack of motivation and interest,” said exercise motivation researcher Shane Sweet, MA, doctoral candidate at the University of Ontario, Ottawa, Canada. “Increasing their sense of self-determination increases motivation, which results in better adherence to exercise, medications, glucose, and A1c.”
          Increasing self-determination means helping patients realize that they have choices. Once patients recognize that they have control over those choices, they tend to make the right ones.
          “We all have an inborn tendency to prefer well being,” Sweet explained. “We all want to feel comfortable in our skins. If you can help them [patients] recognize that they have choices about exercise, help them build confidence and competence in exercise activities, and help them relate better to exercise, they are going to feel more motivated.”
          The key is to behave in a warm and caring manner using motivational interviewing and expressing empathy.
          “You want to help the patient discover choices,” Sweet explained. “It gives a greater sense of control and less sense of pressure.”
          The next step is to build confidence and competence by helping the patient identify the expected outcome and set realistic goals. Using more frequent, easier-to-achieve goals instills confidence. It is also important to build skills and coping strategies. That may mean helping patients learn an exercise skill or realize that minor aches and pains are normal.
          Controlling language—phrases such as “you must,” “you should,” or “you ought to”—are probably counterproductive.

PATIENT MANAGEMENT

Cell phone reporting, coaching can improve A1c
Guillame Charpentier, MD
Clinical reporting and coaching systems can significantly reduce hemoglobin A1c levels without increasing the costs of care. The good news came from Guillaume Charpentier, MD, Center Hospitalier Régional Gilles de Corbeil, Corbeil, France, during a Sunday symposium, New Technologies for Diabetes Education.
          There are 3 broad models for telecare, Charpentier said. The most basic is a downward model, with automated phone messages and calls from a diabetes specialist to the patient. The second adds data transmission, either by modem or, more recently, by cell phone, with feedback by phone, text message, or Web page. The last model adds decision-support software for both clinician and patient.
          Early downward models showed some success, Charpentier noted, with one type 1 diabetes trial showing a 1.1% A1c reduction over 6 months.
          Early decision-support systems showed marginal results. IDEATeL (Informatics for Diabetes Education and Telemedicine), a telemedicine system tested in New York State, showed a 0.18% A1c drop over 5 years but added $8,000 per patient to care costs.
          More recently, Charpentier developed DIABEO, a smart phone-based system with an electronic diary, a patient-specific bolus calculator, and mealtime dose calculations based on glucose trends. A trial comparing standard care to DIABEO with weekly phone consults showed a 0.9% reduction in A1c over 3 months. There was no increase in physician time, Charpentier reported, and a sharp decline in hypoglycemic events.
          “This system is free to all patients with diabetes in France,” Charpentier said. “We have adapted it to all of the popular smart phones, and we expect it to be fully reimbursed by the national health plan in the very near future.”
          The system has also been adapted for type 2 diabetes. New features include automatic basal dose adjustments, coaching for food and activity based on recent blood glucose results, and food selection advice. Early results show a steady decline in A1c, Charpentier said, with more mature data due in 2011.

DISCLAIMER:
This information has been independently developed and provided by the editors of Medical Economics and its sister publications. The sponsor does not endorse and is not responsiblefor the accuracy of the content or for practices or standards of non-sponsor sources. These articles may discuss regimens that have not been approved by the FDA. For full prescribing information including indications, contraindications, warnings, precautions, and adverse experiences please see the appropriate manufacturer's product circular.


 

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