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The healthy obese don’t stay healthy for long, study suggests
The phenomenon of “healthy obesity”– having a body mass index over 30 kg/m2 but without significant metabolic risk factors – is most often a transitive phase toward unhealthiness, and not a stable physiological stage, a new report suggests.
“Healthy obese” adults were nearly eight times more likely to progress to an unhealthy obese state after 20 years than were healthy nonobese adults. After 20 years, roughly 50% of healthy obese adults were unhealthy obese, and 10% were healthy nonobese, lead author Joshua A. Bell wrote in a research letter published Jan. 5 in the Journal of the American College of Cardiology (doi: /10.1016/j.jacc.2014.09.077).
Mr. Bell and his colleagues from the department of epidemiology and public health at University College London examined data from 2,521 British government workers between the ages of 39 and 62 years. Each participant’s body mass index, cholesterol, blood pressure, fasting plasma glucose and insulin resistance was measured over 5 years, 10 years, and 20 years. Three-quarters of the participants were male.
The sample included 66 “healthy obese” adults at baseline, or about a third of all obese participants. Of these subjects, 21 (32%) were unhealthy obese after 5 years, and 27 (41%), 23 (35%), and 34 (52%) were unhealthy obese after 10, 15, and 20 years, respectively.
“Our results, which were obtained with a longer, more detailed follow-up than any previous study, suggest that long-term stability is the exception, not the norm. The natural course of healthy obesity is progression to metabolic deterioration,” the authors wrote.
There were no relevant disclosures to report.
The phenomenon of “healthy obesity”– having a body mass index over 30 kg/m2 but without significant metabolic risk factors – is most often a transitive phase toward unhealthiness, and not a stable physiological stage, a new report suggests.
“Healthy obese” adults were nearly eight times more likely to progress to an unhealthy obese state after 20 years than were healthy nonobese adults. After 20 years, roughly 50% of healthy obese adults were unhealthy obese, and 10% were healthy nonobese, lead author Joshua A. Bell wrote in a research letter published Jan. 5 in the Journal of the American College of Cardiology (doi: /10.1016/j.jacc.2014.09.077).
Mr. Bell and his colleagues from the department of epidemiology and public health at University College London examined data from 2,521 British government workers between the ages of 39 and 62 years. Each participant’s body mass index, cholesterol, blood pressure, fasting plasma glucose and insulin resistance was measured over 5 years, 10 years, and 20 years. Three-quarters of the participants were male.
The sample included 66 “healthy obese” adults at baseline, or about a third of all obese participants. Of these subjects, 21 (32%) were unhealthy obese after 5 years, and 27 (41%), 23 (35%), and 34 (52%) were unhealthy obese after 10, 15, and 20 years, respectively.
“Our results, which were obtained with a longer, more detailed follow-up than any previous study, suggest that long-term stability is the exception, not the norm. The natural course of healthy obesity is progression to metabolic deterioration,” the authors wrote.
There were no relevant disclosures to report.
The phenomenon of “healthy obesity”– having a body mass index over 30 kg/m2 but without significant metabolic risk factors – is most often a transitive phase toward unhealthiness, and not a stable physiological stage, a new report suggests.
“Healthy obese” adults were nearly eight times more likely to progress to an unhealthy obese state after 20 years than were healthy nonobese adults. After 20 years, roughly 50% of healthy obese adults were unhealthy obese, and 10% were healthy nonobese, lead author Joshua A. Bell wrote in a research letter published Jan. 5 in the Journal of the American College of Cardiology (doi: /10.1016/j.jacc.2014.09.077).
Mr. Bell and his colleagues from the department of epidemiology and public health at University College London examined data from 2,521 British government workers between the ages of 39 and 62 years. Each participant’s body mass index, cholesterol, blood pressure, fasting plasma glucose and insulin resistance was measured over 5 years, 10 years, and 20 years. Three-quarters of the participants were male.
The sample included 66 “healthy obese” adults at baseline, or about a third of all obese participants. Of these subjects, 21 (32%) were unhealthy obese after 5 years, and 27 (41%), 23 (35%), and 34 (52%) were unhealthy obese after 10, 15, and 20 years, respectively.
“Our results, which were obtained with a longer, more detailed follow-up than any previous study, suggest that long-term stability is the exception, not the norm. The natural course of healthy obesity is progression to metabolic deterioration,” the authors wrote.
There were no relevant disclosures to report.
FROM THE JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
Key clinical point: Obese patients without metabolic risk factors will likely develop complications over time.
Major finding: Of “healthy obese” participants, 51% became “unhealthy obese” over 20 years, while 11% lost weight and became healthy.
Data source: An analysis of 5,521 men and women from the Whitehall II cohort study of British government workers.
Disclosures: There were no relevant disclosures to report.
‘Material need insecurities’ impact diabetes control, despite access to health care
Many patients with type 2 diabetes have “material need insecurities” – trouble paying for food, medications, housing, or utilities – which greatly impact control of the disease and their use of health care resources, according to a report published online Dec. 29 in JAMA Internal Medicine.
If these pressing but nonmedical needs aren’t identified and addressed, increasing access to health care and diabetes treatments will likely be futile, said Dr. Seth A. Berkowitz of Massachusetts General Hospital and Harvard Medical School, Boston, and his associates.
Most previous research into such material needs have focused on a single need in isolation. In their study, Dr. Berkowitz and his colleagues assessed several material needs simultaneously, to obtain a more accurate picture of the real-world experience of diabetes patients at the lower end of the socioeconomic scale. They surveyed 411 patients attending two community health centers, an academic internal medicine practice, or a diabetes specialty clinic in the Boston area during a 1-year period. The mean patient age was 62 years; 48% were women, and 79% were of non-Hispanic white ethnicity. Health insurance coverage was very high, since Massachusetts has near-universal coverage; only 4% of the study participants were uninsured or self-pay clients, and less than 35 lacked coverage of prescription medication.
Eighty respondents reported having a limited or uncertain availability of food due to its cost. This likely included many who relied on cheap, calorie-dense, highly processed foods because of the inaccessibility of healthier alternatives recommended for glycemic control. A total of 104 respondents reported that they underused medications because of costs; 44 reported housing instability, including homelessness, evictions, frequent moves, or residing with friends or relatives to share living expenses; and 72 reported that they couldn’t consistently afford household heating or cooling.
Diabetes patients who had food, medication, housing, or utility insecurities were significantly more likely than others to have poor diabetes control, poor lipid profiles, poor control of hypertension, and to require more outpatient and emergency department/inpatient visits. Moreover, every additional material need insecurity raised the odds of poor diabetes control by 39%, the odds of outpatient visits by 9%, and the odds of emergency department/inpatient visits by 22%, Dr. Berkowitz and his associates said (JAMA Intern. Med. 2014 Dec. 29 [doi:10.1001/jamainternmed.2014.6888]). These findings indicate that to achieve diabetes control, many patients need not just standard medications but comprehensive interventions that also address access to food, medication, and stable housing. Programs that link patients to government and community resources would be beneficial, as would direct supplementation of healthy foods and “bundling” of low-cost (generic) medications such as metformin, statins, and ACE inhibitors, the investigators said.
This study was supported by the Institutional National Research Service, the Ryoichi Sasakawa Fellowship Fund, the division of general internal medicine at Massachusetts General Hospital, and the National Institutes of Health. Dr. Berkowitz and his associates reported having no relevant financial conflicts of interest.
Many patients with type 2 diabetes have “material need insecurities” – trouble paying for food, medications, housing, or utilities – which greatly impact control of the disease and their use of health care resources, according to a report published online Dec. 29 in JAMA Internal Medicine.
If these pressing but nonmedical needs aren’t identified and addressed, increasing access to health care and diabetes treatments will likely be futile, said Dr. Seth A. Berkowitz of Massachusetts General Hospital and Harvard Medical School, Boston, and his associates.
Most previous research into such material needs have focused on a single need in isolation. In their study, Dr. Berkowitz and his colleagues assessed several material needs simultaneously, to obtain a more accurate picture of the real-world experience of diabetes patients at the lower end of the socioeconomic scale. They surveyed 411 patients attending two community health centers, an academic internal medicine practice, or a diabetes specialty clinic in the Boston area during a 1-year period. The mean patient age was 62 years; 48% were women, and 79% were of non-Hispanic white ethnicity. Health insurance coverage was very high, since Massachusetts has near-universal coverage; only 4% of the study participants were uninsured or self-pay clients, and less than 35 lacked coverage of prescription medication.
Eighty respondents reported having a limited or uncertain availability of food due to its cost. This likely included many who relied on cheap, calorie-dense, highly processed foods because of the inaccessibility of healthier alternatives recommended for glycemic control. A total of 104 respondents reported that they underused medications because of costs; 44 reported housing instability, including homelessness, evictions, frequent moves, or residing with friends or relatives to share living expenses; and 72 reported that they couldn’t consistently afford household heating or cooling.
Diabetes patients who had food, medication, housing, or utility insecurities were significantly more likely than others to have poor diabetes control, poor lipid profiles, poor control of hypertension, and to require more outpatient and emergency department/inpatient visits. Moreover, every additional material need insecurity raised the odds of poor diabetes control by 39%, the odds of outpatient visits by 9%, and the odds of emergency department/inpatient visits by 22%, Dr. Berkowitz and his associates said (JAMA Intern. Med. 2014 Dec. 29 [doi:10.1001/jamainternmed.2014.6888]). These findings indicate that to achieve diabetes control, many patients need not just standard medications but comprehensive interventions that also address access to food, medication, and stable housing. Programs that link patients to government and community resources would be beneficial, as would direct supplementation of healthy foods and “bundling” of low-cost (generic) medications such as metformin, statins, and ACE inhibitors, the investigators said.
This study was supported by the Institutional National Research Service, the Ryoichi Sasakawa Fellowship Fund, the division of general internal medicine at Massachusetts General Hospital, and the National Institutes of Health. Dr. Berkowitz and his associates reported having no relevant financial conflicts of interest.
Many patients with type 2 diabetes have “material need insecurities” – trouble paying for food, medications, housing, or utilities – which greatly impact control of the disease and their use of health care resources, according to a report published online Dec. 29 in JAMA Internal Medicine.
If these pressing but nonmedical needs aren’t identified and addressed, increasing access to health care and diabetes treatments will likely be futile, said Dr. Seth A. Berkowitz of Massachusetts General Hospital and Harvard Medical School, Boston, and his associates.
Most previous research into such material needs have focused on a single need in isolation. In their study, Dr. Berkowitz and his colleagues assessed several material needs simultaneously, to obtain a more accurate picture of the real-world experience of diabetes patients at the lower end of the socioeconomic scale. They surveyed 411 patients attending two community health centers, an academic internal medicine practice, or a diabetes specialty clinic in the Boston area during a 1-year period. The mean patient age was 62 years; 48% were women, and 79% were of non-Hispanic white ethnicity. Health insurance coverage was very high, since Massachusetts has near-universal coverage; only 4% of the study participants were uninsured or self-pay clients, and less than 35 lacked coverage of prescription medication.
Eighty respondents reported having a limited or uncertain availability of food due to its cost. This likely included many who relied on cheap, calorie-dense, highly processed foods because of the inaccessibility of healthier alternatives recommended for glycemic control. A total of 104 respondents reported that they underused medications because of costs; 44 reported housing instability, including homelessness, evictions, frequent moves, or residing with friends or relatives to share living expenses; and 72 reported that they couldn’t consistently afford household heating or cooling.
Diabetes patients who had food, medication, housing, or utility insecurities were significantly more likely than others to have poor diabetes control, poor lipid profiles, poor control of hypertension, and to require more outpatient and emergency department/inpatient visits. Moreover, every additional material need insecurity raised the odds of poor diabetes control by 39%, the odds of outpatient visits by 9%, and the odds of emergency department/inpatient visits by 22%, Dr. Berkowitz and his associates said (JAMA Intern. Med. 2014 Dec. 29 [doi:10.1001/jamainternmed.2014.6888]). These findings indicate that to achieve diabetes control, many patients need not just standard medications but comprehensive interventions that also address access to food, medication, and stable housing. Programs that link patients to government and community resources would be beneficial, as would direct supplementation of healthy foods and “bundling” of low-cost (generic) medications such as metformin, statins, and ACE inhibitors, the investigators said.
This study was supported by the Institutional National Research Service, the Ryoichi Sasakawa Fellowship Fund, the division of general internal medicine at Massachusetts General Hospital, and the National Institutes of Health. Dr. Berkowitz and his associates reported having no relevant financial conflicts of interest.
FROM JAMA INTERNAL MEDICINE
Key clinical point: In a setting of near universal health care, many patients with type 2 diabetes still have trouble paying for food, medications, housing, or utilities, which greatly undermines control of the disease and increases their use of health care resources.
Major finding: Every additional material need insecurity raised the odds of poor diabetes control by 39%, the odds of outpatient visits by 9%, and the odds of emergency department/inpatient visits by 22%.
Data source: A cross-sectional survey of a random sample of 411 diabetic adults attending four urban health care centers in Massachusetts, regarding their material need insecurities.
Disclosures: This study was supported by the Institutional National Research Service, the Ryoichi Sasakawa Fellowship Fund, the division of general internal medicine at Massachusetts General Hospital, and the National Institutes of Health. Dr. Berkowitz and his associates reported having no relevant financial conflicts of interest.
ADA’s revised diabetes 'standards' broaden statin use
Most patients with diabetes should receive at least a moderate statin dosage regardless of their cardiovascular disease risk profile, according to the American Diabetes Association’s annual update to standards for managing patients with diabetes.
“Standards of Medical Care in Diabetes–2015” also shifts the ADA’s official recommendation on assessing patients for statin treatment from a decision based on blood levels of low density lipoprotein (LDL) cholesterol to a risk-based assessment. That change brings the ADA’s position in line with the approach advocated in late 2013 by guidelines from the American College of Cardiology (ACC) and the American Heart Association (AHA) (J. Am. Coll. Cardiol. 2014;63:2889-934).
The ADA released the revised standards online Dec. 23.
The statin use recommendation is “a major change, a fairly big change in how we provide care, although not that big a change in what most patients are prescribed,” said Dr. Richard W. Grant, a primary care physician and researcher at Kaiser Permanente Northern California in Oakland and chair of the ADA’s Professional Practice Committee, the 14-member panel that produced the revised standards.
“We agreed [with the 2013 ACC and AHA lipid guidelines] that the decision to start a statin should be based on a patient’s cardiovascular disease risk, and it turns out that nearly every patient with type 2 diabetes should be on a statin,” Dr. Grant said in an interview.
The revised standards recommend a “moderate” statin dosage for patients with diabetes who are aged 40-75 years, as well as those who are older than 75 years even if they have no other cardiovascular disease risk factors (Diabetes Care 2015;38:S1-S94).
The dosage should be intensified to “high” for patients with diagnosed cardiovascular disease, and for patients aged 40-75 years with other cardiovascular disease risk factors. For patients older than 75 years with cardiovascular disease risk factors, the new revision calls for either a moderate or high dosage.
However, for patients younger than 40 years with no cardiovascular disease or risk factors, the revised standards call for no statin treatment, a moderate or high dosage for patients younger than 40 years with risk factors, and a high dosage for those with cardiovascular disease.
The ADA’s recommendation for no statin treatment of the youngest and lowest-risk patients with diabetes is somewhat at odds with the 2013 ACC and AHA recommendations. For this patient group, those recommendations said, “statin therapy should be individualized on the basis of considerations of atherosclerotic cardiovascular disease risk-reduction benefits, the potential for adverse effects and drug-drug interactions, and patient preferences.”
The new standards revision contains several other changes, including:
• The recommended goal diastolic blood pressure for patients with diabetes was revised to less than 90 mm Hg, an increase from the 80–mm Hg target that had been in place. That change follows a revision in the ADA’s 2014 standards that increased the systolic blood pressure target to less than 140 mm Hg.
Changing the diastolic target to less than 90 mm Hg was primarily a matter of following the best evidence that exists in the literature, Dr. Grant said, because only lower-grade evidence supports a target of less than 80 mm Hg.
The revised standards also note that the new targets of less than 140/90 mm Hg put the standards “ in harmonization” with the 2014 recommendations of the panel originally assembled at the Eighth Joint National Committee (JAMA 2014;311:507-20).
• The recommended blood glucose target when measured before eating is now 80-130 mg/dL, with the lower limit increased from 70 mg/dL. That change reflects new data that correlate blood glucose levels with blood levels of hemoglobin A1c.
• The revision sets the body mass index cutpoint for screening overweight or obese Asian Americans at 23 kg/m2, an increase from the prior cutpoint of 25 kg/m2.
• A new section devoted to managing patients with diabetes during pregnancy draws together information that previously had been scattered throughout the standards document, Dr. Grant explained. The section discusses gestational diabetes management, as well as managing women who had preexisting type 1 or type 2 diabetes prior to becoming pregnant.
Dr. Grant had no disclosures.
On Twitter @mitchelzoler
The efficacy of a moderate statin dosage for primary prevention of cardiovascular disease events in patients age 40-75 years with type 2 diabetes and no other risk factors was clearly established a decade ago by results from the Collaborative Atorvastatin Diabetes Study (CARDS) (Lancet 2004;364:685-96).
No prospective, randomized study has proved the efficacy of statin treatment in patients younger than 40 years with diabetes and no other risk factors; but we see increasing numbers of these patients, and they, too, are at high risk for cardiovascular disease events. I agree with the 2013 recommendation from the American College of Cardiology and American Heart Association that statin treatment should be discussed and in many cases started for these younger, lower-risk patients who still face an important cardiovascular disease risk from their diabetes alone.
Changing the target diastolic blood pressure to less than 90 mm Hg is also consistent with existing evidence. A few years ago, I wrote in an editorial that some prior blood pressure targets for patients with diabetes had been set too low (Circulation 2011;123:2776-8).
There is no evidence that patients with diabetes will benefit from a diastolic blood pressure target that is lower than less than 90 mm Hg, and an overly aggressive approach to blood pressure reduction potentially can cause adverse events. Elderly patients with diabetes often have “silent” coronary artery disease, and if their diastolic pressure goes too low, they can have inadequate coronary perfusion that will cause coronary ischemia.
![]() |
Dr. Prakash Deedwania |
But the diastolic blood pressure target also needs individualization. Some patients, such as those with Asian ethnicity, may benefit from the greater stroke reduction achieved with more aggressive blood pressure reduction.
Aspirin use in patients with diabetes and no other cardiovascular disease risk factors has been controversial, but recent evidence from the Japanese Primary Prevention Project suggests it does not benefit patients with diabetes, even if they may also have hypertension, dyslipidemia, or both. About a third of the patients aged 60-85 years enrolled in this Japanese study had diabetes, more than 70% had dyslipidemia, and 85% had hypertension. But despite this background, daily low-dose aspirin did not reduce the incidence of atherosclerotic cardiovascular disease events during 5 years of follow-up of more than 14,000 randomized patients (JAMA 2014;312:2510-20).
Dr. Prakash C. Deedwania is professor of medicine at the University of California, San Francisco, and director of cardiology at the VA Central California Health Care System in Fresno. He made these comments in an interview. He has served as a consultant to several drug companies that market statins.
The efficacy of a moderate statin dosage for primary prevention of cardiovascular disease events in patients age 40-75 years with type 2 diabetes and no other risk factors was clearly established a decade ago by results from the Collaborative Atorvastatin Diabetes Study (CARDS) (Lancet 2004;364:685-96).
No prospective, randomized study has proved the efficacy of statin treatment in patients younger than 40 years with diabetes and no other risk factors; but we see increasing numbers of these patients, and they, too, are at high risk for cardiovascular disease events. I agree with the 2013 recommendation from the American College of Cardiology and American Heart Association that statin treatment should be discussed and in many cases started for these younger, lower-risk patients who still face an important cardiovascular disease risk from their diabetes alone.
Changing the target diastolic blood pressure to less than 90 mm Hg is also consistent with existing evidence. A few years ago, I wrote in an editorial that some prior blood pressure targets for patients with diabetes had been set too low (Circulation 2011;123:2776-8).
There is no evidence that patients with diabetes will benefit from a diastolic blood pressure target that is lower than less than 90 mm Hg, and an overly aggressive approach to blood pressure reduction potentially can cause adverse events. Elderly patients with diabetes often have “silent” coronary artery disease, and if their diastolic pressure goes too low, they can have inadequate coronary perfusion that will cause coronary ischemia.
![]() |
Dr. Prakash Deedwania |
But the diastolic blood pressure target also needs individualization. Some patients, such as those with Asian ethnicity, may benefit from the greater stroke reduction achieved with more aggressive blood pressure reduction.
Aspirin use in patients with diabetes and no other cardiovascular disease risk factors has been controversial, but recent evidence from the Japanese Primary Prevention Project suggests it does not benefit patients with diabetes, even if they may also have hypertension, dyslipidemia, or both. About a third of the patients aged 60-85 years enrolled in this Japanese study had diabetes, more than 70% had dyslipidemia, and 85% had hypertension. But despite this background, daily low-dose aspirin did not reduce the incidence of atherosclerotic cardiovascular disease events during 5 years of follow-up of more than 14,000 randomized patients (JAMA 2014;312:2510-20).
Dr. Prakash C. Deedwania is professor of medicine at the University of California, San Francisco, and director of cardiology at the VA Central California Health Care System in Fresno. He made these comments in an interview. He has served as a consultant to several drug companies that market statins.
The efficacy of a moderate statin dosage for primary prevention of cardiovascular disease events in patients age 40-75 years with type 2 diabetes and no other risk factors was clearly established a decade ago by results from the Collaborative Atorvastatin Diabetes Study (CARDS) (Lancet 2004;364:685-96).
No prospective, randomized study has proved the efficacy of statin treatment in patients younger than 40 years with diabetes and no other risk factors; but we see increasing numbers of these patients, and they, too, are at high risk for cardiovascular disease events. I agree with the 2013 recommendation from the American College of Cardiology and American Heart Association that statin treatment should be discussed and in many cases started for these younger, lower-risk patients who still face an important cardiovascular disease risk from their diabetes alone.
Changing the target diastolic blood pressure to less than 90 mm Hg is also consistent with existing evidence. A few years ago, I wrote in an editorial that some prior blood pressure targets for patients with diabetes had been set too low (Circulation 2011;123:2776-8).
There is no evidence that patients with diabetes will benefit from a diastolic blood pressure target that is lower than less than 90 mm Hg, and an overly aggressive approach to blood pressure reduction potentially can cause adverse events. Elderly patients with diabetes often have “silent” coronary artery disease, and if their diastolic pressure goes too low, they can have inadequate coronary perfusion that will cause coronary ischemia.
![]() |
Dr. Prakash Deedwania |
But the diastolic blood pressure target also needs individualization. Some patients, such as those with Asian ethnicity, may benefit from the greater stroke reduction achieved with more aggressive blood pressure reduction.
Aspirin use in patients with diabetes and no other cardiovascular disease risk factors has been controversial, but recent evidence from the Japanese Primary Prevention Project suggests it does not benefit patients with diabetes, even if they may also have hypertension, dyslipidemia, or both. About a third of the patients aged 60-85 years enrolled in this Japanese study had diabetes, more than 70% had dyslipidemia, and 85% had hypertension. But despite this background, daily low-dose aspirin did not reduce the incidence of atherosclerotic cardiovascular disease events during 5 years of follow-up of more than 14,000 randomized patients (JAMA 2014;312:2510-20).
Dr. Prakash C. Deedwania is professor of medicine at the University of California, San Francisco, and director of cardiology at the VA Central California Health Care System in Fresno. He made these comments in an interview. He has served as a consultant to several drug companies that market statins.
Most patients with diabetes should receive at least a moderate statin dosage regardless of their cardiovascular disease risk profile, according to the American Diabetes Association’s annual update to standards for managing patients with diabetes.
“Standards of Medical Care in Diabetes–2015” also shifts the ADA’s official recommendation on assessing patients for statin treatment from a decision based on blood levels of low density lipoprotein (LDL) cholesterol to a risk-based assessment. That change brings the ADA’s position in line with the approach advocated in late 2013 by guidelines from the American College of Cardiology (ACC) and the American Heart Association (AHA) (J. Am. Coll. Cardiol. 2014;63:2889-934).
The ADA released the revised standards online Dec. 23.
The statin use recommendation is “a major change, a fairly big change in how we provide care, although not that big a change in what most patients are prescribed,” said Dr. Richard W. Grant, a primary care physician and researcher at Kaiser Permanente Northern California in Oakland and chair of the ADA’s Professional Practice Committee, the 14-member panel that produced the revised standards.
“We agreed [with the 2013 ACC and AHA lipid guidelines] that the decision to start a statin should be based on a patient’s cardiovascular disease risk, and it turns out that nearly every patient with type 2 diabetes should be on a statin,” Dr. Grant said in an interview.
The revised standards recommend a “moderate” statin dosage for patients with diabetes who are aged 40-75 years, as well as those who are older than 75 years even if they have no other cardiovascular disease risk factors (Diabetes Care 2015;38:S1-S94).
The dosage should be intensified to “high” for patients with diagnosed cardiovascular disease, and for patients aged 40-75 years with other cardiovascular disease risk factors. For patients older than 75 years with cardiovascular disease risk factors, the new revision calls for either a moderate or high dosage.
However, for patients younger than 40 years with no cardiovascular disease or risk factors, the revised standards call for no statin treatment, a moderate or high dosage for patients younger than 40 years with risk factors, and a high dosage for those with cardiovascular disease.
The ADA’s recommendation for no statin treatment of the youngest and lowest-risk patients with diabetes is somewhat at odds with the 2013 ACC and AHA recommendations. For this patient group, those recommendations said, “statin therapy should be individualized on the basis of considerations of atherosclerotic cardiovascular disease risk-reduction benefits, the potential for adverse effects and drug-drug interactions, and patient preferences.”
The new standards revision contains several other changes, including:
• The recommended goal diastolic blood pressure for patients with diabetes was revised to less than 90 mm Hg, an increase from the 80–mm Hg target that had been in place. That change follows a revision in the ADA’s 2014 standards that increased the systolic blood pressure target to less than 140 mm Hg.
Changing the diastolic target to less than 90 mm Hg was primarily a matter of following the best evidence that exists in the literature, Dr. Grant said, because only lower-grade evidence supports a target of less than 80 mm Hg.
The revised standards also note that the new targets of less than 140/90 mm Hg put the standards “ in harmonization” with the 2014 recommendations of the panel originally assembled at the Eighth Joint National Committee (JAMA 2014;311:507-20).
• The recommended blood glucose target when measured before eating is now 80-130 mg/dL, with the lower limit increased from 70 mg/dL. That change reflects new data that correlate blood glucose levels with blood levels of hemoglobin A1c.
• The revision sets the body mass index cutpoint for screening overweight or obese Asian Americans at 23 kg/m2, an increase from the prior cutpoint of 25 kg/m2.
• A new section devoted to managing patients with diabetes during pregnancy draws together information that previously had been scattered throughout the standards document, Dr. Grant explained. The section discusses gestational diabetes management, as well as managing women who had preexisting type 1 or type 2 diabetes prior to becoming pregnant.
Dr. Grant had no disclosures.
On Twitter @mitchelzoler
Most patients with diabetes should receive at least a moderate statin dosage regardless of their cardiovascular disease risk profile, according to the American Diabetes Association’s annual update to standards for managing patients with diabetes.
“Standards of Medical Care in Diabetes–2015” also shifts the ADA’s official recommendation on assessing patients for statin treatment from a decision based on blood levels of low density lipoprotein (LDL) cholesterol to a risk-based assessment. That change brings the ADA’s position in line with the approach advocated in late 2013 by guidelines from the American College of Cardiology (ACC) and the American Heart Association (AHA) (J. Am. Coll. Cardiol. 2014;63:2889-934).
The ADA released the revised standards online Dec. 23.
The statin use recommendation is “a major change, a fairly big change in how we provide care, although not that big a change in what most patients are prescribed,” said Dr. Richard W. Grant, a primary care physician and researcher at Kaiser Permanente Northern California in Oakland and chair of the ADA’s Professional Practice Committee, the 14-member panel that produced the revised standards.
“We agreed [with the 2013 ACC and AHA lipid guidelines] that the decision to start a statin should be based on a patient’s cardiovascular disease risk, and it turns out that nearly every patient with type 2 diabetes should be on a statin,” Dr. Grant said in an interview.
The revised standards recommend a “moderate” statin dosage for patients with diabetes who are aged 40-75 years, as well as those who are older than 75 years even if they have no other cardiovascular disease risk factors (Diabetes Care 2015;38:S1-S94).
The dosage should be intensified to “high” for patients with diagnosed cardiovascular disease, and for patients aged 40-75 years with other cardiovascular disease risk factors. For patients older than 75 years with cardiovascular disease risk factors, the new revision calls for either a moderate or high dosage.
However, for patients younger than 40 years with no cardiovascular disease or risk factors, the revised standards call for no statin treatment, a moderate or high dosage for patients younger than 40 years with risk factors, and a high dosage for those with cardiovascular disease.
The ADA’s recommendation for no statin treatment of the youngest and lowest-risk patients with diabetes is somewhat at odds with the 2013 ACC and AHA recommendations. For this patient group, those recommendations said, “statin therapy should be individualized on the basis of considerations of atherosclerotic cardiovascular disease risk-reduction benefits, the potential for adverse effects and drug-drug interactions, and patient preferences.”
The new standards revision contains several other changes, including:
• The recommended goal diastolic blood pressure for patients with diabetes was revised to less than 90 mm Hg, an increase from the 80–mm Hg target that had been in place. That change follows a revision in the ADA’s 2014 standards that increased the systolic blood pressure target to less than 140 mm Hg.
Changing the diastolic target to less than 90 mm Hg was primarily a matter of following the best evidence that exists in the literature, Dr. Grant said, because only lower-grade evidence supports a target of less than 80 mm Hg.
The revised standards also note that the new targets of less than 140/90 mm Hg put the standards “ in harmonization” with the 2014 recommendations of the panel originally assembled at the Eighth Joint National Committee (JAMA 2014;311:507-20).
• The recommended blood glucose target when measured before eating is now 80-130 mg/dL, with the lower limit increased from 70 mg/dL. That change reflects new data that correlate blood glucose levels with blood levels of hemoglobin A1c.
• The revision sets the body mass index cutpoint for screening overweight or obese Asian Americans at 23 kg/m2, an increase from the prior cutpoint of 25 kg/m2.
• A new section devoted to managing patients with diabetes during pregnancy draws together information that previously had been scattered throughout the standards document, Dr. Grant explained. The section discusses gestational diabetes management, as well as managing women who had preexisting type 1 or type 2 diabetes prior to becoming pregnant.
Dr. Grant had no disclosures.
On Twitter @mitchelzoler
FROM DIABETES CARE
ADA lowers BMI cut point for Asian Americans at risk for type 2 diabetes
The American Diabetes Association has issued a new recommendation stating that all Asian American adults who present with a body mass index of at least 23 kg/m2 should be tested for type 2 diabetes.
In its latest position statement, the ADA cites increasing evidence that body mass index (BMI) is more indicative than just body weight for determining a patient’s likelihood of developing type 2 diabetes, along with data on the higher predisposition for diabetes among Asian Americans, as the main reasons for lowering the cut point from 25 kg/m2, which is the established BMI at which all adults should be tested for diabetes (Diabetes Care 2015;38:1-9 [doi:10.2337/dc14-2391]).
“Given that established BMI cut points indicating elevated diabetes risk are inappropriate for Asian Americans, establishing a specific BMI cut point to identify Asian Americans with or at risk for future diabetes would be beneficial to the potential health of millions of Asian American individuals,” the ADA said in the statement.
According to the ADA, Asian Americans – who currently make up the fastest-growing ethnic group in the United States – are prone to developing diabetes at a lower BMI because, instead of gathering in the thighs, their weight gains tend to accumulate around the waist, an area that is known for being the most harmful from the standpoint of adiposity and disease. The ADA also highlights lifestyle and dietary habits inherent to Asian cultures as reasons for why Asian Americans are more predisposed to the disease.
“Clinicians have known this intuitively for quite some time,” said Dr. William C. Hsu, lead author of the position statement. “They can see that Asian Americans are being diagnosed with diabetes when they do not appear to be overweight or obese according to general standards. But if you use the previous association standard for diabetes screening of being age 45 or older with a BMI of 25 kg/m2 or above, you will miss many Asian Americans who are at risk,” said Dr. Hsu of Harvard Medical School in Boston, who is vice president of international programs at Joslin Diabetes Center.
According to the ADA, most studies tend to group Asian Americans along with Native Hawaiian and Pacific Islander demographics, although the groups differ significantly in terms of physiology and body composition. By focusing more on Asian American populations specifically, the ADA aims to have more reliable data that can lead to earlier and more accurate diagnosis of type 2 diabetes within the demographic.
“This paper is a significant step in the right direction of widely recognizing the diabetes disparity that exists in our populations and communities,” said Dr. Ho Luong Tran, president of the National Council of Asian Pacific Islander Physicians and lead coordinator of the Asian American Native Hawaiian and Pacific Islanders Diabetes Coalition. “The next steps are to increase the amount of clinical research and data on this diverse population, while simultaneously pushing for policy change that will positively impact health outcomes.”
The American Diabetes Association has issued a new recommendation stating that all Asian American adults who present with a body mass index of at least 23 kg/m2 should be tested for type 2 diabetes.
In its latest position statement, the ADA cites increasing evidence that body mass index (BMI) is more indicative than just body weight for determining a patient’s likelihood of developing type 2 diabetes, along with data on the higher predisposition for diabetes among Asian Americans, as the main reasons for lowering the cut point from 25 kg/m2, which is the established BMI at which all adults should be tested for diabetes (Diabetes Care 2015;38:1-9 [doi:10.2337/dc14-2391]).
“Given that established BMI cut points indicating elevated diabetes risk are inappropriate for Asian Americans, establishing a specific BMI cut point to identify Asian Americans with or at risk for future diabetes would be beneficial to the potential health of millions of Asian American individuals,” the ADA said in the statement.
According to the ADA, Asian Americans – who currently make up the fastest-growing ethnic group in the United States – are prone to developing diabetes at a lower BMI because, instead of gathering in the thighs, their weight gains tend to accumulate around the waist, an area that is known for being the most harmful from the standpoint of adiposity and disease. The ADA also highlights lifestyle and dietary habits inherent to Asian cultures as reasons for why Asian Americans are more predisposed to the disease.
“Clinicians have known this intuitively for quite some time,” said Dr. William C. Hsu, lead author of the position statement. “They can see that Asian Americans are being diagnosed with diabetes when they do not appear to be overweight or obese according to general standards. But if you use the previous association standard for diabetes screening of being age 45 or older with a BMI of 25 kg/m2 or above, you will miss many Asian Americans who are at risk,” said Dr. Hsu of Harvard Medical School in Boston, who is vice president of international programs at Joslin Diabetes Center.
According to the ADA, most studies tend to group Asian Americans along with Native Hawaiian and Pacific Islander demographics, although the groups differ significantly in terms of physiology and body composition. By focusing more on Asian American populations specifically, the ADA aims to have more reliable data that can lead to earlier and more accurate diagnosis of type 2 diabetes within the demographic.
“This paper is a significant step in the right direction of widely recognizing the diabetes disparity that exists in our populations and communities,” said Dr. Ho Luong Tran, president of the National Council of Asian Pacific Islander Physicians and lead coordinator of the Asian American Native Hawaiian and Pacific Islanders Diabetes Coalition. “The next steps are to increase the amount of clinical research and data on this diverse population, while simultaneously pushing for policy change that will positively impact health outcomes.”
The American Diabetes Association has issued a new recommendation stating that all Asian American adults who present with a body mass index of at least 23 kg/m2 should be tested for type 2 diabetes.
In its latest position statement, the ADA cites increasing evidence that body mass index (BMI) is more indicative than just body weight for determining a patient’s likelihood of developing type 2 diabetes, along with data on the higher predisposition for diabetes among Asian Americans, as the main reasons for lowering the cut point from 25 kg/m2, which is the established BMI at which all adults should be tested for diabetes (Diabetes Care 2015;38:1-9 [doi:10.2337/dc14-2391]).
“Given that established BMI cut points indicating elevated diabetes risk are inappropriate for Asian Americans, establishing a specific BMI cut point to identify Asian Americans with or at risk for future diabetes would be beneficial to the potential health of millions of Asian American individuals,” the ADA said in the statement.
According to the ADA, Asian Americans – who currently make up the fastest-growing ethnic group in the United States – are prone to developing diabetes at a lower BMI because, instead of gathering in the thighs, their weight gains tend to accumulate around the waist, an area that is known for being the most harmful from the standpoint of adiposity and disease. The ADA also highlights lifestyle and dietary habits inherent to Asian cultures as reasons for why Asian Americans are more predisposed to the disease.
“Clinicians have known this intuitively for quite some time,” said Dr. William C. Hsu, lead author of the position statement. “They can see that Asian Americans are being diagnosed with diabetes when they do not appear to be overweight or obese according to general standards. But if you use the previous association standard for diabetes screening of being age 45 or older with a BMI of 25 kg/m2 or above, you will miss many Asian Americans who are at risk,” said Dr. Hsu of Harvard Medical School in Boston, who is vice president of international programs at Joslin Diabetes Center.
According to the ADA, most studies tend to group Asian Americans along with Native Hawaiian and Pacific Islander demographics, although the groups differ significantly in terms of physiology and body composition. By focusing more on Asian American populations specifically, the ADA aims to have more reliable data that can lead to earlier and more accurate diagnosis of type 2 diabetes within the demographic.
“This paper is a significant step in the right direction of widely recognizing the diabetes disparity that exists in our populations and communities,” said Dr. Ho Luong Tran, president of the National Council of Asian Pacific Islander Physicians and lead coordinator of the Asian American Native Hawaiian and Pacific Islanders Diabetes Coalition. “The next steps are to increase the amount of clinical research and data on this diverse population, while simultaneously pushing for policy change that will positively impact health outcomes.”
FROM DIABETES CARE
2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines
Recommendations
Each recommendation has been mapped from the NHLBI grading format to the American College of Cardiology/American Heart Association Class of Recommendation/Level of Evidence (ACC/AHA COR/LOE) construct and is expressed in both formats. Because of the inherent differences in grading systems and the clinical questions driving the recommendations, alignment between the NHLBI and ACC/AHA formats is in some cases imperfect. Definitions for the NHLBI strength of recommendation (A-E, N) and quality of evidence (High, Moderate, Low) and the ACC/AHA levels of the evidence (LOE: A-C) and classes of recommendations (COR: I-III) are provided at the end of the "Major Recommendations" field.
Summary of Recommendations for Lifestyle Management
Diet
Low-density lipoprotein cholesterol (LDL-C): Advise adults who would benefit from LDL-C lowering* to:
- Consume a dietary pattern that emphasizes intake of vegetables, fruits, and whole grains; includes low-fat dairy products, poultry, fish, legumes, nontropical vegetable oils, and nuts; and limits intake of sweets, sugar-sweetened beverages, and red meats. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- Adapt this dietary pattern to appropriate calorie requirements, personal and cultural food preferences, and nutrition therapy for other medical conditions (including diabetes).
- Achieve this pattern by following plans such as the Dietary Approaches to Stop Hypertension (DASH) dietary pattern, the U.S. Department of Agriculture (USDA) Food Pattern, or the AHA Diet.
- Aim for a dietary pattern that achieves 5% to 6% of calories from saturated fat. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- Reduce percent of calories from saturated fat. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- Reduce percent of calories from trans fat. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
Blood pressure (BP): Advise adults who would benefit from BP lowering to:
- Consume a dietary pattern that emphasizes intake of vegetables, fruits, and whole grains; includes low-fat dairy products, poultry, fish, legumes, nontropical vegetable oils, and nuts; and limits intake of sweets, sugar-sweetened beverages, and red meats. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- Adapt this dietary pattern to appropriate calorie requirements, personal and cultural food preferences, and nutrition therapy for other medical conditions (including diabetes).
- Achieve this pattern by following plans such as the DASH dietary pattern, the USDA Food Pattern, or the AHA Diet.
- Lower sodium intake. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- a. Consume no more than 2,400 mg of sodium/d; b. Further reduction of sodium intake to 1,500 mg/d can result in even greater reduction in BP; and c. Even without achieving these goals, reducing sodium intake by at least 1,000 mg/d lowers BP. NHLBI Grade: B (Moderate); ACC/AHA COR: IIa; ACC/AHA LOE: B
- Combine the DASH dietary pattern with lower sodium intake. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
Physical Activity
Lipids
- In general, advise adults to engage in aerobic physical activity to reduce LDL-C and non-high-density lipoprotein cholesterol (non–HDL-C): 3–4 sessions per week, lasting on average 40 minutes per session, and involving moderate- to vigorous-intensity physical activity. NHLBI Grade: B (Moderate); ACC/AHA COR: IIa; ACC/AHA LOE: A
BP
- In general, advise adults to engage in aerobic physical activity to lower BP: 3 to 4 sessions per week, lasting on average 40 minutes per session, and involving moderate- to vigorous-intensity physical activity. NHLBI Grade: B (Moderate); ACC/AHA COR: IIa; ACC/AHA LOE: A
*Refer to the NGC summary 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.
See Tables 7-10, 13, 15, and 16 in the original guideline document for additional diet and physical activity guidelines and resources.
Definitions:
NHLBI Grading of the Strength of Recommendations
| Grade | Strength of Recommendation* |
|---|---|
| A | Strong recommendation There is high certainty based on evidence that the net benefit† is substantial. |
| B | Moderate recommendation There is moderate certainty based on evidence that the net benefit is moderate to substantial, or there is high certainty that the net benefit is moderate. |
| C | Weak recommendation There is at least moderate certainty based on evidence that there is a small net benefit. |
| D | Recommendation against There is at least moderate certainty based on evidence that there is no net benefit or that risks/harms outweigh benefits. |
| E | Expert opinion ("There is insufficient evidence or evidence is unclear or conflicting, but this is what the Work Group recommends.") Net benefit is unclear. Balance of benefits and harms cannot be determined because of no evidence, insufficient evidence, unclear evidence, or conflicting evidence, but the Work Group thought it was important to provide clinical guidance and make a recommendation. Further research is recommended in this area. |
| N | No recommendation for or against ("There is insufficient evidence or evidence is unclear or conflicting.") Net benefit is unclear. Balance of benefits and harms cannot be determined because of no evidence, insufficient evidence, unclear evidence, or conflicting evidence, and the Work Group thought no recommendation should be made. Further research is recommended in this area. |
*In most cases, the strength of the recommendation should be closely aligned with the quality of the evidence; however, under some circumstances, there may be valid reasons for making recommendations that are not closely aligned with the quality of the evidence (e.g., strong recommendation when the evidence quality is moderate, such as smoking cessation to reduce cardiovascular disease [CVD] risk or ordering an electrocardiogram [ECG] as part of the initial diagnostic work-up for a patient presenting with possible myocardial infarction [MI]). Those situations should be limited and the rationale explained clearly by the Work Group.
†Net benefit is defined as benefits minus risks/harms of the service/intervention.
NHLBI Quality Rating of the Strength of Evidence
| Type of Evidence | Quality Rating* |
|---|---|
| High |
| Moderate |
| Low |
*In some cases, other evidence, such as large all-or-none case series (e.g., jumping from airplanes or tall structures), can represent high- or moderate-quality evidence. In such cases, the rationale for the evidence rating exception should be explained by the Work Group and clearly justified.
†"Well-designed, well-executed" refers to studies that directly address the question; use adequate randomization, blinding, and allocation concealment; are adequately powered; use intention-to-treat analyses; and have high follow-up rates.
‡Limitations include concerns with the design and execution of a study that result in decreased confidence in the true estimate of the effect. Examples of such limitations include but are not limited to: inadequate randomization, lack of blinding of study participants or outcome assessors, inadequate power, outcomes of interest that are not prespecified for the primary outcomes, low follow-up rates, and findings based on subgroup analyses. Whether the limitations are considered minor or major is based on the number and severity of flaws in design or execution. Rules for determining whether the limitations are considered minor or major and how they will affect rating of the individual studies will be developed collaboratively with the methodology team.
§Nonrandomized controlled studies refer to intervention studies where assignment to intervention and comparison groups is not random (e.g., quasi-experimental study design).
¶Observational studies include prospective and retrospective cohort, case-control, and cross-sectional studies.
Applying Classification of Recommendations and Level of Evidence
| Size of Treatment Effect | |||||||
|---|---|---|---|---|---|---|---|
| CLASS I Benefit >>> Risk Procedure/Treatment SHOULD be performed/ administered | CLASS IIa Benefit >> Risk Additional studies with focused objectives needed IT IS REASONABLE to perform procedure/administer treatment | CLASS IIb Benefit ≥ Risk Additional studies with broad objectives needed; additional registry data would be helpful Procedure/Treatment MAY BE CONSIDERED | CLASS III No Benefit or Class III Harm | ||||
| Procedure/Test | Treatment | ||||||
| COR III: No Benefit | Not helpful | No proven benefit | |||||
| COR III: Harm | Excess cost without benefit or harmful | Harmful to patients | |||||
| Estimate of Certainty (Precision) of Treatment Effect | LEVEL A Multiple populations evaluated* Data derived from multiple randomized clinical trials or meta-analyses |
|
|
|
| ||
| LEVEL B Limited populations evaluated* Data derived from a single randomized trial or nonrandomized studies |
|
|
|
| |||
| LEVEL C Very limited populations evaluated* Only consensus opinion of experts, case studies, or standard of care |
|
|
|
| |||
A recommendation with Level of Evidence B or C does not imply the recommendation is weak. Many important clinical questions addressed in the guidelines do not lend themselves to clinical trials. Even when randomized trials are unavailable, there may be a very clear clinical consensus that a particular test or therapy is useful or effective.
*Data available from clinical trials or registries about the usefulness/efficacy in different subpopulations, such as sex, age, history of diabetes, history of prior myocardial infarction, history of heart failure, and prior aspirin use.
†For comparative-effectiveness recommendations (Class I and IIa; Level of Evidence A and B only), studies that support the use of comparator verbs should involve direct comparisons of the treatments or strategies being evaluated.
Recommendations
Each recommendation has been mapped from the NHLBI grading format to the American College of Cardiology/American Heart Association Class of Recommendation/Level of Evidence (ACC/AHA COR/LOE) construct and is expressed in both formats. Because of the inherent differences in grading systems and the clinical questions driving the recommendations, alignment between the NHLBI and ACC/AHA formats is in some cases imperfect. Definitions for the NHLBI strength of recommendation (A-E, N) and quality of evidence (High, Moderate, Low) and the ACC/AHA levels of the evidence (LOE: A-C) and classes of recommendations (COR: I-III) are provided at the end of the "Major Recommendations" field.
Summary of Recommendations for Lifestyle Management
Diet
Low-density lipoprotein cholesterol (LDL-C): Advise adults who would benefit from LDL-C lowering* to:
- Consume a dietary pattern that emphasizes intake of vegetables, fruits, and whole grains; includes low-fat dairy products, poultry, fish, legumes, nontropical vegetable oils, and nuts; and limits intake of sweets, sugar-sweetened beverages, and red meats. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- Adapt this dietary pattern to appropriate calorie requirements, personal and cultural food preferences, and nutrition therapy for other medical conditions (including diabetes).
- Achieve this pattern by following plans such as the Dietary Approaches to Stop Hypertension (DASH) dietary pattern, the U.S. Department of Agriculture (USDA) Food Pattern, or the AHA Diet.
- Aim for a dietary pattern that achieves 5% to 6% of calories from saturated fat. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- Reduce percent of calories from saturated fat. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- Reduce percent of calories from trans fat. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
Blood pressure (BP): Advise adults who would benefit from BP lowering to:
- Consume a dietary pattern that emphasizes intake of vegetables, fruits, and whole grains; includes low-fat dairy products, poultry, fish, legumes, nontropical vegetable oils, and nuts; and limits intake of sweets, sugar-sweetened beverages, and red meats. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- Adapt this dietary pattern to appropriate calorie requirements, personal and cultural food preferences, and nutrition therapy for other medical conditions (including diabetes).
- Achieve this pattern by following plans such as the DASH dietary pattern, the USDA Food Pattern, or the AHA Diet.
- Lower sodium intake. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- a. Consume no more than 2,400 mg of sodium/d; b. Further reduction of sodium intake to 1,500 mg/d can result in even greater reduction in BP; and c. Even without achieving these goals, reducing sodium intake by at least 1,000 mg/d lowers BP. NHLBI Grade: B (Moderate); ACC/AHA COR: IIa; ACC/AHA LOE: B
- Combine the DASH dietary pattern with lower sodium intake. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
Physical Activity
Lipids
- In general, advise adults to engage in aerobic physical activity to reduce LDL-C and non-high-density lipoprotein cholesterol (non–HDL-C): 3–4 sessions per week, lasting on average 40 minutes per session, and involving moderate- to vigorous-intensity physical activity. NHLBI Grade: B (Moderate); ACC/AHA COR: IIa; ACC/AHA LOE: A
BP
- In general, advise adults to engage in aerobic physical activity to lower BP: 3 to 4 sessions per week, lasting on average 40 minutes per session, and involving moderate- to vigorous-intensity physical activity. NHLBI Grade: B (Moderate); ACC/AHA COR: IIa; ACC/AHA LOE: A
*Refer to the NGC summary 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.
See Tables 7-10, 13, 15, and 16 in the original guideline document for additional diet and physical activity guidelines and resources.
Definitions:
NHLBI Grading of the Strength of Recommendations
| Grade | Strength of Recommendation* |
|---|---|
| A | Strong recommendation There is high certainty based on evidence that the net benefit† is substantial. |
| B | Moderate recommendation There is moderate certainty based on evidence that the net benefit is moderate to substantial, or there is high certainty that the net benefit is moderate. |
| C | Weak recommendation There is at least moderate certainty based on evidence that there is a small net benefit. |
| D | Recommendation against There is at least moderate certainty based on evidence that there is no net benefit or that risks/harms outweigh benefits. |
| E | Expert opinion ("There is insufficient evidence or evidence is unclear or conflicting, but this is what the Work Group recommends.") Net benefit is unclear. Balance of benefits and harms cannot be determined because of no evidence, insufficient evidence, unclear evidence, or conflicting evidence, but the Work Group thought it was important to provide clinical guidance and make a recommendation. Further research is recommended in this area. |
| N | No recommendation for or against ("There is insufficient evidence or evidence is unclear or conflicting.") Net benefit is unclear. Balance of benefits and harms cannot be determined because of no evidence, insufficient evidence, unclear evidence, or conflicting evidence, and the Work Group thought no recommendation should be made. Further research is recommended in this area. |
*In most cases, the strength of the recommendation should be closely aligned with the quality of the evidence; however, under some circumstances, there may be valid reasons for making recommendations that are not closely aligned with the quality of the evidence (e.g., strong recommendation when the evidence quality is moderate, such as smoking cessation to reduce cardiovascular disease [CVD] risk or ordering an electrocardiogram [ECG] as part of the initial diagnostic work-up for a patient presenting with possible myocardial infarction [MI]). Those situations should be limited and the rationale explained clearly by the Work Group.
†Net benefit is defined as benefits minus risks/harms of the service/intervention.
NHLBI Quality Rating of the Strength of Evidence
| Type of Evidence | Quality Rating* |
|---|---|
| High |
| Moderate |
| Low |
*In some cases, other evidence, such as large all-or-none case series (e.g., jumping from airplanes or tall structures), can represent high- or moderate-quality evidence. In such cases, the rationale for the evidence rating exception should be explained by the Work Group and clearly justified.
†"Well-designed, well-executed" refers to studies that directly address the question; use adequate randomization, blinding, and allocation concealment; are adequately powered; use intention-to-treat analyses; and have high follow-up rates.
‡Limitations include concerns with the design and execution of a study that result in decreased confidence in the true estimate of the effect. Examples of such limitations include but are not limited to: inadequate randomization, lack of blinding of study participants or outcome assessors, inadequate power, outcomes of interest that are not prespecified for the primary outcomes, low follow-up rates, and findings based on subgroup analyses. Whether the limitations are considered minor or major is based on the number and severity of flaws in design or execution. Rules for determining whether the limitations are considered minor or major and how they will affect rating of the individual studies will be developed collaboratively with the methodology team.
§Nonrandomized controlled studies refer to intervention studies where assignment to intervention and comparison groups is not random (e.g., quasi-experimental study design).
¶Observational studies include prospective and retrospective cohort, case-control, and cross-sectional studies.
Applying Classification of Recommendations and Level of Evidence
| Size of Treatment Effect | |||||||
|---|---|---|---|---|---|---|---|
| CLASS I Benefit >>> Risk Procedure/Treatment SHOULD be performed/ administered | CLASS IIa Benefit >> Risk Additional studies with focused objectives needed IT IS REASONABLE to perform procedure/administer treatment | CLASS IIb Benefit ≥ Risk Additional studies with broad objectives needed; additional registry data would be helpful Procedure/Treatment MAY BE CONSIDERED | CLASS III No Benefit or Class III Harm | ||||
| Procedure/Test | Treatment | ||||||
| COR III: No Benefit | Not helpful | No proven benefit | |||||
| COR III: Harm | Excess cost without benefit or harmful | Harmful to patients | |||||
| Estimate of Certainty (Precision) of Treatment Effect | LEVEL A Multiple populations evaluated* Data derived from multiple randomized clinical trials or meta-analyses |
|
|
|
| ||
| LEVEL B Limited populations evaluated* Data derived from a single randomized trial or nonrandomized studies |
|
|
|
| |||
| LEVEL C Very limited populations evaluated* Only consensus opinion of experts, case studies, or standard of care |
|
|
|
| |||
A recommendation with Level of Evidence B or C does not imply the recommendation is weak. Many important clinical questions addressed in the guidelines do not lend themselves to clinical trials. Even when randomized trials are unavailable, there may be a very clear clinical consensus that a particular test or therapy is useful or effective.
*Data available from clinical trials or registries about the usefulness/efficacy in different subpopulations, such as sex, age, history of diabetes, history of prior myocardial infarction, history of heart failure, and prior aspirin use.
†For comparative-effectiveness recommendations (Class I and IIa; Level of Evidence A and B only), studies that support the use of comparator verbs should involve direct comparisons of the treatments or strategies being evaluated.
Recommendations
Each recommendation has been mapped from the NHLBI grading format to the American College of Cardiology/American Heart Association Class of Recommendation/Level of Evidence (ACC/AHA COR/LOE) construct and is expressed in both formats. Because of the inherent differences in grading systems and the clinical questions driving the recommendations, alignment between the NHLBI and ACC/AHA formats is in some cases imperfect. Definitions for the NHLBI strength of recommendation (A-E, N) and quality of evidence (High, Moderate, Low) and the ACC/AHA levels of the evidence (LOE: A-C) and classes of recommendations (COR: I-III) are provided at the end of the "Major Recommendations" field.
Summary of Recommendations for Lifestyle Management
Diet
Low-density lipoprotein cholesterol (LDL-C): Advise adults who would benefit from LDL-C lowering* to:
- Consume a dietary pattern that emphasizes intake of vegetables, fruits, and whole grains; includes low-fat dairy products, poultry, fish, legumes, nontropical vegetable oils, and nuts; and limits intake of sweets, sugar-sweetened beverages, and red meats. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- Adapt this dietary pattern to appropriate calorie requirements, personal and cultural food preferences, and nutrition therapy for other medical conditions (including diabetes).
- Achieve this pattern by following plans such as the Dietary Approaches to Stop Hypertension (DASH) dietary pattern, the U.S. Department of Agriculture (USDA) Food Pattern, or the AHA Diet.
- Aim for a dietary pattern that achieves 5% to 6% of calories from saturated fat. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- Reduce percent of calories from saturated fat. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- Reduce percent of calories from trans fat. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
Blood pressure (BP): Advise adults who would benefit from BP lowering to:
- Consume a dietary pattern that emphasizes intake of vegetables, fruits, and whole grains; includes low-fat dairy products, poultry, fish, legumes, nontropical vegetable oils, and nuts; and limits intake of sweets, sugar-sweetened beverages, and red meats. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- Adapt this dietary pattern to appropriate calorie requirements, personal and cultural food preferences, and nutrition therapy for other medical conditions (including diabetes).
- Achieve this pattern by following plans such as the DASH dietary pattern, the USDA Food Pattern, or the AHA Diet.
- Lower sodium intake. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
- a. Consume no more than 2,400 mg of sodium/d; b. Further reduction of sodium intake to 1,500 mg/d can result in even greater reduction in BP; and c. Even without achieving these goals, reducing sodium intake by at least 1,000 mg/d lowers BP. NHLBI Grade: B (Moderate); ACC/AHA COR: IIa; ACC/AHA LOE: B
- Combine the DASH dietary pattern with lower sodium intake. NHLBI Grade: A (Strong); ACC/AHA COR: I; ACC/AHA LOE: A
Physical Activity
Lipids
- In general, advise adults to engage in aerobic physical activity to reduce LDL-C and non-high-density lipoprotein cholesterol (non–HDL-C): 3–4 sessions per week, lasting on average 40 minutes per session, and involving moderate- to vigorous-intensity physical activity. NHLBI Grade: B (Moderate); ACC/AHA COR: IIa; ACC/AHA LOE: A
BP
- In general, advise adults to engage in aerobic physical activity to lower BP: 3 to 4 sessions per week, lasting on average 40 minutes per session, and involving moderate- to vigorous-intensity physical activity. NHLBI Grade: B (Moderate); ACC/AHA COR: IIa; ACC/AHA LOE: A
*Refer to the NGC summary 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.
See Tables 7-10, 13, 15, and 16 in the original guideline document for additional diet and physical activity guidelines and resources.
Definitions:
NHLBI Grading of the Strength of Recommendations
| Grade | Strength of Recommendation* |
|---|---|
| A | Strong recommendation There is high certainty based on evidence that the net benefit† is substantial. |
| B | Moderate recommendation There is moderate certainty based on evidence that the net benefit is moderate to substantial, or there is high certainty that the net benefit is moderate. |
| C | Weak recommendation There is at least moderate certainty based on evidence that there is a small net benefit. |
| D | Recommendation against There is at least moderate certainty based on evidence that there is no net benefit or that risks/harms outweigh benefits. |
| E | Expert opinion ("There is insufficient evidence or evidence is unclear or conflicting, but this is what the Work Group recommends.") Net benefit is unclear. Balance of benefits and harms cannot be determined because of no evidence, insufficient evidence, unclear evidence, or conflicting evidence, but the Work Group thought it was important to provide clinical guidance and make a recommendation. Further research is recommended in this area. |
| N | No recommendation for or against ("There is insufficient evidence or evidence is unclear or conflicting.") Net benefit is unclear. Balance of benefits and harms cannot be determined because of no evidence, insufficient evidence, unclear evidence, or conflicting evidence, and the Work Group thought no recommendation should be made. Further research is recommended in this area. |
*In most cases, the strength of the recommendation should be closely aligned with the quality of the evidence; however, under some circumstances, there may be valid reasons for making recommendations that are not closely aligned with the quality of the evidence (e.g., strong recommendation when the evidence quality is moderate, such as smoking cessation to reduce cardiovascular disease [CVD] risk or ordering an electrocardiogram [ECG] as part of the initial diagnostic work-up for a patient presenting with possible myocardial infarction [MI]). Those situations should be limited and the rationale explained clearly by the Work Group.
†Net benefit is defined as benefits minus risks/harms of the service/intervention.
NHLBI Quality Rating of the Strength of Evidence
| Type of Evidence | Quality Rating* |
|---|---|
| High |
| Moderate |
| Low |
*In some cases, other evidence, such as large all-or-none case series (e.g., jumping from airplanes or tall structures), can represent high- or moderate-quality evidence. In such cases, the rationale for the evidence rating exception should be explained by the Work Group and clearly justified.
†"Well-designed, well-executed" refers to studies that directly address the question; use adequate randomization, blinding, and allocation concealment; are adequately powered; use intention-to-treat analyses; and have high follow-up rates.
‡Limitations include concerns with the design and execution of a study that result in decreased confidence in the true estimate of the effect. Examples of such limitations include but are not limited to: inadequate randomization, lack of blinding of study participants or outcome assessors, inadequate power, outcomes of interest that are not prespecified for the primary outcomes, low follow-up rates, and findings based on subgroup analyses. Whether the limitations are considered minor or major is based on the number and severity of flaws in design or execution. Rules for determining whether the limitations are considered minor or major and how they will affect rating of the individual studies will be developed collaboratively with the methodology team.
§Nonrandomized controlled studies refer to intervention studies where assignment to intervention and comparison groups is not random (e.g., quasi-experimental study design).
¶Observational studies include prospective and retrospective cohort, case-control, and cross-sectional studies.
Applying Classification of Recommendations and Level of Evidence
| Size of Treatment Effect | |||||||
|---|---|---|---|---|---|---|---|
| CLASS I Benefit >>> Risk Procedure/Treatment SHOULD be performed/ administered | CLASS IIa Benefit >> Risk Additional studies with focused objectives needed IT IS REASONABLE to perform procedure/administer treatment | CLASS IIb Benefit ≥ Risk Additional studies with broad objectives needed; additional registry data would be helpful Procedure/Treatment MAY BE CONSIDERED | CLASS III No Benefit or Class III Harm | ||||
| Procedure/Test | Treatment | ||||||
| COR III: No Benefit | Not helpful | No proven benefit | |||||
| COR III: Harm | Excess cost without benefit or harmful | Harmful to patients | |||||
| Estimate of Certainty (Precision) of Treatment Effect | LEVEL A Multiple populations evaluated* Data derived from multiple randomized clinical trials or meta-analyses |
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| LEVEL B Limited populations evaluated* Data derived from a single randomized trial or nonrandomized studies |
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| LEVEL C Very limited populations evaluated* Only consensus opinion of experts, case studies, or standard of care |
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A recommendation with Level of Evidence B or C does not imply the recommendation is weak. Many important clinical questions addressed in the guidelines do not lend themselves to clinical trials. Even when randomized trials are unavailable, there may be a very clear clinical consensus that a particular test or therapy is useful or effective.
*Data available from clinical trials or registries about the usefulness/efficacy in different subpopulations, such as sex, age, history of diabetes, history of prior myocardial infarction, history of heart failure, and prior aspirin use.
†For comparative-effectiveness recommendations (Class I and IIa; Level of Evidence A and B only), studies that support the use of comparator verbs should involve direct comparisons of the treatments or strategies being evaluated.
OBJECTIVE: To evaluate evidence that particular dietary patterns, nutrient intake, and levels and types of physical activity can play a major role in cardiovascular disease (CVD) prevention and treatment through effects on modifiable CVD risk factors (i.e., blood pressure [BP] and lipids).
Guidelines are copyright © 2014 American College of Cardiology/American Heart Association. All rights reserved. The summary is provided by the Agency for Healthcare Research and Quality.
Glycemic index doesn’t affect insulin sensitivity, lipid levels
A healthy diet that was modified to have a low glycemic index did not improve insulin sensitivity, lipid levels, or blood pressure in overweight and obese adults, compared with one with a high glycemic index, according to a report published online Dec. 16 in JAMA.
This unexpected finding indicates that, against a background diet that is already healthy, “using glycemic index to select specific foods may not improve cardiovascular risk factors or insulin resistance,” said Dr. Frank M. Sacks of the department of nutrition, Harvard School of Public Health, Boston, and his associates.
The investigators performed a randomized, crossover feeding study in which 163 people aged at least 30 years were randomly assigned to one of four study diets for 5 weeks, then switched to a different diet for a further 5 weeks, after a 2-week washout period.
“We studied diets that had a large contrast in glycemic index, while at the same time we controlled intake of total carbohydrates and other key nutrients such as fatty acids, potassium, and sodium and maintained body weight. The background diets in which we manipulated glycemic index were healthful dietary patterns established in the Dietary Approaches to Stop Hypertension (DASH) and Optimal Macronutrient Intake to Prevent Heart Disease (OmniHeart) studies that are being recommended in dietary guidelines to prevent CVD,” they noted. About half of the study population were female and half were black, and there were high prevalences of obesity (56%), hypertension (26%), high cholesterol (68%), and impaired fasting glucose (30%). All meals, snacks, and beverages were provided on site. Adherence, which was closely monitored, was high: All study foods and no nonstudy foods were consumed on 96% of person-days on each diet.
Contrary to expectations, the two low-glycemic-index diets failed to improve insulin sensitivity, cholesterol levels, or blood pressure when compared with the two high-glycemic-index diets. “Composing a DASH-type diet with low-glycemic-index foods ... does not improve CVD risk factors and may in fact reduce insulin sensitivity and increase LDL cholesterol,” Dr. Sacks and his associates wrote (JAMA 2014 Dec. 16 [doi:10.1001/jama.2014.16658]).
They noted that these findings are especially important given that some nutrition policies advocate replacing high-glycemic-index with low-glycemic-index foods. Even though some experts go so far as to promote that all foods be labeled with their glycemic-index values, “the benefits of glycemic index are uncertain, especially with persons are already consuming a healthful diet rich in whole grains, vegetables, and fruits.”
The investigators emphasized that none of the study participants had type 2 diabetes, so these findings do not apply to patients with that disease.
The unexpected findings by Sacks et al. suggest that glycemic index is less important than previously thought, especially in the context of an overall healthy diet, as tested in this study.
These results should direct attention back to the importance of maintaining an overall heart-healthy lifestyle rather than focusing on a narrow concept such as the glycemic index of individual foods. It isn’t a matter of good foods and bad foods, but the overall dietary pattern that is important.
Dr. Robert H. Eckel of the University of Colorado, Aurora, made these remarks in an editorial accompanying Dr. Sacks’s report (JAMA 2014;312:2508-9). He reported having no financial disclosures.
The unexpected findings by Sacks et al. suggest that glycemic index is less important than previously thought, especially in the context of an overall healthy diet, as tested in this study.
These results should direct attention back to the importance of maintaining an overall heart-healthy lifestyle rather than focusing on a narrow concept such as the glycemic index of individual foods. It isn’t a matter of good foods and bad foods, but the overall dietary pattern that is important.
Dr. Robert H. Eckel of the University of Colorado, Aurora, made these remarks in an editorial accompanying Dr. Sacks’s report (JAMA 2014;312:2508-9). He reported having no financial disclosures.
The unexpected findings by Sacks et al. suggest that glycemic index is less important than previously thought, especially in the context of an overall healthy diet, as tested in this study.
These results should direct attention back to the importance of maintaining an overall heart-healthy lifestyle rather than focusing on a narrow concept such as the glycemic index of individual foods. It isn’t a matter of good foods and bad foods, but the overall dietary pattern that is important.
Dr. Robert H. Eckel of the University of Colorado, Aurora, made these remarks in an editorial accompanying Dr. Sacks’s report (JAMA 2014;312:2508-9). He reported having no financial disclosures.
A healthy diet that was modified to have a low glycemic index did not improve insulin sensitivity, lipid levels, or blood pressure in overweight and obese adults, compared with one with a high glycemic index, according to a report published online Dec. 16 in JAMA.
This unexpected finding indicates that, against a background diet that is already healthy, “using glycemic index to select specific foods may not improve cardiovascular risk factors or insulin resistance,” said Dr. Frank M. Sacks of the department of nutrition, Harvard School of Public Health, Boston, and his associates.
The investigators performed a randomized, crossover feeding study in which 163 people aged at least 30 years were randomly assigned to one of four study diets for 5 weeks, then switched to a different diet for a further 5 weeks, after a 2-week washout period.
“We studied diets that had a large contrast in glycemic index, while at the same time we controlled intake of total carbohydrates and other key nutrients such as fatty acids, potassium, and sodium and maintained body weight. The background diets in which we manipulated glycemic index were healthful dietary patterns established in the Dietary Approaches to Stop Hypertension (DASH) and Optimal Macronutrient Intake to Prevent Heart Disease (OmniHeart) studies that are being recommended in dietary guidelines to prevent CVD,” they noted. About half of the study population were female and half were black, and there were high prevalences of obesity (56%), hypertension (26%), high cholesterol (68%), and impaired fasting glucose (30%). All meals, snacks, and beverages were provided on site. Adherence, which was closely monitored, was high: All study foods and no nonstudy foods were consumed on 96% of person-days on each diet.
Contrary to expectations, the two low-glycemic-index diets failed to improve insulin sensitivity, cholesterol levels, or blood pressure when compared with the two high-glycemic-index diets. “Composing a DASH-type diet with low-glycemic-index foods ... does not improve CVD risk factors and may in fact reduce insulin sensitivity and increase LDL cholesterol,” Dr. Sacks and his associates wrote (JAMA 2014 Dec. 16 [doi:10.1001/jama.2014.16658]).
They noted that these findings are especially important given that some nutrition policies advocate replacing high-glycemic-index with low-glycemic-index foods. Even though some experts go so far as to promote that all foods be labeled with their glycemic-index values, “the benefits of glycemic index are uncertain, especially with persons are already consuming a healthful diet rich in whole grains, vegetables, and fruits.”
The investigators emphasized that none of the study participants had type 2 diabetes, so these findings do not apply to patients with that disease.
A healthy diet that was modified to have a low glycemic index did not improve insulin sensitivity, lipid levels, or blood pressure in overweight and obese adults, compared with one with a high glycemic index, according to a report published online Dec. 16 in JAMA.
This unexpected finding indicates that, against a background diet that is already healthy, “using glycemic index to select specific foods may not improve cardiovascular risk factors or insulin resistance,” said Dr. Frank M. Sacks of the department of nutrition, Harvard School of Public Health, Boston, and his associates.
The investigators performed a randomized, crossover feeding study in which 163 people aged at least 30 years were randomly assigned to one of four study diets for 5 weeks, then switched to a different diet for a further 5 weeks, after a 2-week washout period.
“We studied diets that had a large contrast in glycemic index, while at the same time we controlled intake of total carbohydrates and other key nutrients such as fatty acids, potassium, and sodium and maintained body weight. The background diets in which we manipulated glycemic index were healthful dietary patterns established in the Dietary Approaches to Stop Hypertension (DASH) and Optimal Macronutrient Intake to Prevent Heart Disease (OmniHeart) studies that are being recommended in dietary guidelines to prevent CVD,” they noted. About half of the study population were female and half were black, and there were high prevalences of obesity (56%), hypertension (26%), high cholesterol (68%), and impaired fasting glucose (30%). All meals, snacks, and beverages were provided on site. Adherence, which was closely monitored, was high: All study foods and no nonstudy foods were consumed on 96% of person-days on each diet.
Contrary to expectations, the two low-glycemic-index diets failed to improve insulin sensitivity, cholesterol levels, or blood pressure when compared with the two high-glycemic-index diets. “Composing a DASH-type diet with low-glycemic-index foods ... does not improve CVD risk factors and may in fact reduce insulin sensitivity and increase LDL cholesterol,” Dr. Sacks and his associates wrote (JAMA 2014 Dec. 16 [doi:10.1001/jama.2014.16658]).
They noted that these findings are especially important given that some nutrition policies advocate replacing high-glycemic-index with low-glycemic-index foods. Even though some experts go so far as to promote that all foods be labeled with their glycemic-index values, “the benefits of glycemic index are uncertain, especially with persons are already consuming a healthful diet rich in whole grains, vegetables, and fruits.”
The investigators emphasized that none of the study participants had type 2 diabetes, so these findings do not apply to patients with that disease.
Key clinical point: A low-glycemic-index diet failed to improve insulin sensitivity, lipid levels, or blood pressure, compared with a high-glycemic-index diet.
Major finding: Contrary to expectations, the two low-glycemic-index diets failed to improve insulin sensitivity, cholesterol levels, or blood pressure when compared with the two high-glycemic-index diets.
Data source: A 5-week randomized crossover controlled-feeding study involving 163 overweight or obese adults with high rates of hypertension, hypercholesterolemia, and impaired fasting glucose.
Disclosures: This study was supported by the National Institutes of Health, the Harvard Clinical and Translational Science Center, the National Center for Advancing Translational Science, and Brigham and Women’s Hospital. Dr. Sacks and his associates reported no relevant financial disclosures.
Anti-TGF-beta 1 therapy for diabetic nephropathy disappoints
PHILADELPHIA– Anti-TGF-beta 1 therapy was safe and well-tolerated, but failed to slow disease progression in patients with advanced diabetic nephropathy in a randomized, double-masked, phase 2 dose-ranging study.
In fact, the trial was terminated 4 months early for efficacy futility, Dr. James R. Voelker reported at Kidney Week 2014.
In 416 patients with type 1 or type 2 diabetes and a likelihood of rapid disease progression who were randomized to receive subcutaneous treatment with either placebo or various doses of a beta-1-specific humanized monoclonal neutralizing antibody known as LY2382770 (LY).
Treatment at any dose was not significantly more effective than placebo with respect to the primary outcome measure of mean change in serum creatinine. Mean serum creatinine increased from 2.22 to 2.48 mg/dl in the placebo group, and in the treatment groups it increased from 2.15 to 2.49 mg/dl (2 mg/month group), from 2.13 to 2.49 mg/dl (10 mg/month group), and from 2.15 to 2.50 mg/dl (50 mg/month group), Dr. Voelker of Eli Lilly and Co., Indianapolis, said at the meeting, which was sponsored by the American Society of Nephrology.
Patients in the study were adults aged 25 years or older (mean 62.2 years ) with serum creatinine of 1.3 to 3.3 mg/dl for women, and 1.5 to 3.5 mg/dl for men, or estimated glomerular filtration rate of 20 to 60 ml/min/1.73 m2, and they had a 24-hour urine protein/creatinine ratio of at least 800 mg/g. The groups were similar with respect to demographics and baseline characteristic, and most (75%) were men with type 2 diabetes (90%). All patient were receiving stable renin-angiotensin-system inhibition (RASi) therapy.
The intent was to select a population with a likelihood of fairly rapid disease progression during the course of the study to enable detection of a treatment effect, Dr. Voelker explained.
“Diabetic nephropathy is a disease of significant unmet medical need, as it is the leading cause of end-stage renal disease in much of the world. Thus. it is incumbent upon the nephrology community to identify new and more effective treatments than are currently available,” Dr. Voelker said.
TGF-beta over-activity has been implicated as a key pathogenic factor in diabetic neuropathy, and it was previously demonstrated that a TGF-beta 1-specific humanized monoclonal antibody was as effective as an antibody against all three TGF-beta isoforms, he said.
“We also had demonstrated that beta 1-specific inhibition in preclinical animal toxicology testing was far more tolerated than when you inhibit all 3 TGF-beta isoforms, which I should mention are all differentially expressed and regulated, but all signal through the same receptor complex,” he added, noting that based on these and other data, it was hypothesized that modulating excessive beta 1 activity with LY would safely slow renal progression in patients with diabetes on background RASi therapy.
The study was overseen by an independent data safety monitoring committee that reviewed unblinded safety data at periodic intervals. No safety issues emerged, but in the later stages of the study the committee did recommend that an unscheduled utility analysis be performed. Based on the results of that analysis, the decision was made to prematurely terminate the study about 4 months before its scheduled completion.
“Unfortunately there was no evidence in any of the study arms of a slowing of the rate of (serum creatinine increase),” Dr. Voelker said, adding that there also was no evidence of a benefit in numerous subgroup analyses, including analyses based on diabetes type.
Dr. Voelker is an employee of Eli Lilly and Co, which sponsored this study.
PHILADELPHIA– Anti-TGF-beta 1 therapy was safe and well-tolerated, but failed to slow disease progression in patients with advanced diabetic nephropathy in a randomized, double-masked, phase 2 dose-ranging study.
In fact, the trial was terminated 4 months early for efficacy futility, Dr. James R. Voelker reported at Kidney Week 2014.
In 416 patients with type 1 or type 2 diabetes and a likelihood of rapid disease progression who were randomized to receive subcutaneous treatment with either placebo or various doses of a beta-1-specific humanized monoclonal neutralizing antibody known as LY2382770 (LY).
Treatment at any dose was not significantly more effective than placebo with respect to the primary outcome measure of mean change in serum creatinine. Mean serum creatinine increased from 2.22 to 2.48 mg/dl in the placebo group, and in the treatment groups it increased from 2.15 to 2.49 mg/dl (2 mg/month group), from 2.13 to 2.49 mg/dl (10 mg/month group), and from 2.15 to 2.50 mg/dl (50 mg/month group), Dr. Voelker of Eli Lilly and Co., Indianapolis, said at the meeting, which was sponsored by the American Society of Nephrology.
Patients in the study were adults aged 25 years or older (mean 62.2 years ) with serum creatinine of 1.3 to 3.3 mg/dl for women, and 1.5 to 3.5 mg/dl for men, or estimated glomerular filtration rate of 20 to 60 ml/min/1.73 m2, and they had a 24-hour urine protein/creatinine ratio of at least 800 mg/g. The groups were similar with respect to demographics and baseline characteristic, and most (75%) were men with type 2 diabetes (90%). All patient were receiving stable renin-angiotensin-system inhibition (RASi) therapy.
The intent was to select a population with a likelihood of fairly rapid disease progression during the course of the study to enable detection of a treatment effect, Dr. Voelker explained.
“Diabetic nephropathy is a disease of significant unmet medical need, as it is the leading cause of end-stage renal disease in much of the world. Thus. it is incumbent upon the nephrology community to identify new and more effective treatments than are currently available,” Dr. Voelker said.
TGF-beta over-activity has been implicated as a key pathogenic factor in diabetic neuropathy, and it was previously demonstrated that a TGF-beta 1-specific humanized monoclonal antibody was as effective as an antibody against all three TGF-beta isoforms, he said.
“We also had demonstrated that beta 1-specific inhibition in preclinical animal toxicology testing was far more tolerated than when you inhibit all 3 TGF-beta isoforms, which I should mention are all differentially expressed and regulated, but all signal through the same receptor complex,” he added, noting that based on these and other data, it was hypothesized that modulating excessive beta 1 activity with LY would safely slow renal progression in patients with diabetes on background RASi therapy.
The study was overseen by an independent data safety monitoring committee that reviewed unblinded safety data at periodic intervals. No safety issues emerged, but in the later stages of the study the committee did recommend that an unscheduled utility analysis be performed. Based on the results of that analysis, the decision was made to prematurely terminate the study about 4 months before its scheduled completion.
“Unfortunately there was no evidence in any of the study arms of a slowing of the rate of (serum creatinine increase),” Dr. Voelker said, adding that there also was no evidence of a benefit in numerous subgroup analyses, including analyses based on diabetes type.
Dr. Voelker is an employee of Eli Lilly and Co, which sponsored this study.
PHILADELPHIA– Anti-TGF-beta 1 therapy was safe and well-tolerated, but failed to slow disease progression in patients with advanced diabetic nephropathy in a randomized, double-masked, phase 2 dose-ranging study.
In fact, the trial was terminated 4 months early for efficacy futility, Dr. James R. Voelker reported at Kidney Week 2014.
In 416 patients with type 1 or type 2 diabetes and a likelihood of rapid disease progression who were randomized to receive subcutaneous treatment with either placebo or various doses of a beta-1-specific humanized monoclonal neutralizing antibody known as LY2382770 (LY).
Treatment at any dose was not significantly more effective than placebo with respect to the primary outcome measure of mean change in serum creatinine. Mean serum creatinine increased from 2.22 to 2.48 mg/dl in the placebo group, and in the treatment groups it increased from 2.15 to 2.49 mg/dl (2 mg/month group), from 2.13 to 2.49 mg/dl (10 mg/month group), and from 2.15 to 2.50 mg/dl (50 mg/month group), Dr. Voelker of Eli Lilly and Co., Indianapolis, said at the meeting, which was sponsored by the American Society of Nephrology.
Patients in the study were adults aged 25 years or older (mean 62.2 years ) with serum creatinine of 1.3 to 3.3 mg/dl for women, and 1.5 to 3.5 mg/dl for men, or estimated glomerular filtration rate of 20 to 60 ml/min/1.73 m2, and they had a 24-hour urine protein/creatinine ratio of at least 800 mg/g. The groups were similar with respect to demographics and baseline characteristic, and most (75%) were men with type 2 diabetes (90%). All patient were receiving stable renin-angiotensin-system inhibition (RASi) therapy.
The intent was to select a population with a likelihood of fairly rapid disease progression during the course of the study to enable detection of a treatment effect, Dr. Voelker explained.
“Diabetic nephropathy is a disease of significant unmet medical need, as it is the leading cause of end-stage renal disease in much of the world. Thus. it is incumbent upon the nephrology community to identify new and more effective treatments than are currently available,” Dr. Voelker said.
TGF-beta over-activity has been implicated as a key pathogenic factor in diabetic neuropathy, and it was previously demonstrated that a TGF-beta 1-specific humanized monoclonal antibody was as effective as an antibody against all three TGF-beta isoforms, he said.
“We also had demonstrated that beta 1-specific inhibition in preclinical animal toxicology testing was far more tolerated than when you inhibit all 3 TGF-beta isoforms, which I should mention are all differentially expressed and regulated, but all signal through the same receptor complex,” he added, noting that based on these and other data, it was hypothesized that modulating excessive beta 1 activity with LY would safely slow renal progression in patients with diabetes on background RASi therapy.
The study was overseen by an independent data safety monitoring committee that reviewed unblinded safety data at periodic intervals. No safety issues emerged, but in the later stages of the study the committee did recommend that an unscheduled utility analysis be performed. Based on the results of that analysis, the decision was made to prematurely terminate the study about 4 months before its scheduled completion.
“Unfortunately there was no evidence in any of the study arms of a slowing of the rate of (serum creatinine increase),” Dr. Voelker said, adding that there also was no evidence of a benefit in numerous subgroup analyses, including analyses based on diabetes type.
Dr. Voelker is an employee of Eli Lilly and Co, which sponsored this study.
Key clinical point: Anti-TGF-beta 1 therapy failed to slow the progression of diabetic kidney disease.
Major finding: Mean serum creatinine increased from 2.22 to 2.48 mg/dl in the placebo group and in the treatment arms; 2.15 to 2.49 mg/dl (2 mg/month), 2.13 to 2.49 mg/dl (10 mg/month), and 2.15 to 2.50 mg/dl (50 mg/month).
Data source: A randomized, double-masked, phase-2 dose-ranging study involving 416 patients.
Disclosures: Dr. Voelker is an employee of Eli Lilly and Co, which sponsored this study.
Kidney function declines faster with high sleep apnea risk
PHILADELPHIA – Patients with type 2 diabetes, chronic kidney disease, and a high risk of obstructive sleep apnea have more rapid loss of kidney function than do similar patients with a low risk of sleep apnea, findings from a retrospective cohort study suggest.
Of 56 patients with diabetic nephropathy who underwent screening for obstructive sleep apnea, 34 (61%) were at high risk. Compared with 22 patients with a low risk score, the high-risk patients had a significantly greater loss of estimated glomerular filtration rate over time (median loss of -3.4 vs. 1.5 ml/min/1.73 m2 per year for the high- vs. low-risk patients, respectively), Dr. Roberto Pisoni reported in a poster at the annual meeting of the American Society of Nephrology.
This finding was despite comparable blood pressure for the high- and low-risk groups (systolic: 141.7 and 143.7 mm Hg; diastolic: 72.0 and 72.4 mm Hg, respectively), proteinuria upon admission to a chronic kidney disease clinic (urinary protein/creatinine ratio, 1.9 and 1.6 g/g, respectively), and time spent in clinic (1.9 vs. 2.1 years, respectively), said Dr. Pisoni of the Medical University of South Carolina, Charleston.
Patients in the high- and low-risk groups also had similar baseline gender, body mass index, use of renin-angiotensin-aldosterone system blockers, eGFR, and co-morbidities, he noted.
Data used for this study were from the University of Alabama at Birmingham Chronic Kidney Disease Database. Patients had completed the Berlin questionnaire to assess for sleep apnea during a 9-month study period.
Obstructive sleep apnea is common in patients with type 2 diabetes and is also associated with glomerular hyperfiltration and proteinuria in patients with normal renal function, which raised the question of whether it might be related to chronic kidney disease progression, Dr. Pisoni explained. He noted that the association between obstructive sleep apnea and diabetic nephropathy has not been fully investigated.
The study demonstrated that the “simple approach” of assessing obstructive sleep apnea risk identifies patients who are also at increased risk of CKD progression, he said, adding that the findings require replication in a prospective cohort.
Dr. Pisoni reported having no disclosures.
PHILADELPHIA – Patients with type 2 diabetes, chronic kidney disease, and a high risk of obstructive sleep apnea have more rapid loss of kidney function than do similar patients with a low risk of sleep apnea, findings from a retrospective cohort study suggest.
Of 56 patients with diabetic nephropathy who underwent screening for obstructive sleep apnea, 34 (61%) were at high risk. Compared with 22 patients with a low risk score, the high-risk patients had a significantly greater loss of estimated glomerular filtration rate over time (median loss of -3.4 vs. 1.5 ml/min/1.73 m2 per year for the high- vs. low-risk patients, respectively), Dr. Roberto Pisoni reported in a poster at the annual meeting of the American Society of Nephrology.
This finding was despite comparable blood pressure for the high- and low-risk groups (systolic: 141.7 and 143.7 mm Hg; diastolic: 72.0 and 72.4 mm Hg, respectively), proteinuria upon admission to a chronic kidney disease clinic (urinary protein/creatinine ratio, 1.9 and 1.6 g/g, respectively), and time spent in clinic (1.9 vs. 2.1 years, respectively), said Dr. Pisoni of the Medical University of South Carolina, Charleston.
Patients in the high- and low-risk groups also had similar baseline gender, body mass index, use of renin-angiotensin-aldosterone system blockers, eGFR, and co-morbidities, he noted.
Data used for this study were from the University of Alabama at Birmingham Chronic Kidney Disease Database. Patients had completed the Berlin questionnaire to assess for sleep apnea during a 9-month study period.
Obstructive sleep apnea is common in patients with type 2 diabetes and is also associated with glomerular hyperfiltration and proteinuria in patients with normal renal function, which raised the question of whether it might be related to chronic kidney disease progression, Dr. Pisoni explained. He noted that the association between obstructive sleep apnea and diabetic nephropathy has not been fully investigated.
The study demonstrated that the “simple approach” of assessing obstructive sleep apnea risk identifies patients who are also at increased risk of CKD progression, he said, adding that the findings require replication in a prospective cohort.
Dr. Pisoni reported having no disclosures.
PHILADELPHIA – Patients with type 2 diabetes, chronic kidney disease, and a high risk of obstructive sleep apnea have more rapid loss of kidney function than do similar patients with a low risk of sleep apnea, findings from a retrospective cohort study suggest.
Of 56 patients with diabetic nephropathy who underwent screening for obstructive sleep apnea, 34 (61%) were at high risk. Compared with 22 patients with a low risk score, the high-risk patients had a significantly greater loss of estimated glomerular filtration rate over time (median loss of -3.4 vs. 1.5 ml/min/1.73 m2 per year for the high- vs. low-risk patients, respectively), Dr. Roberto Pisoni reported in a poster at the annual meeting of the American Society of Nephrology.
This finding was despite comparable blood pressure for the high- and low-risk groups (systolic: 141.7 and 143.7 mm Hg; diastolic: 72.0 and 72.4 mm Hg, respectively), proteinuria upon admission to a chronic kidney disease clinic (urinary protein/creatinine ratio, 1.9 and 1.6 g/g, respectively), and time spent in clinic (1.9 vs. 2.1 years, respectively), said Dr. Pisoni of the Medical University of South Carolina, Charleston.
Patients in the high- and low-risk groups also had similar baseline gender, body mass index, use of renin-angiotensin-aldosterone system blockers, eGFR, and co-morbidities, he noted.
Data used for this study were from the University of Alabama at Birmingham Chronic Kidney Disease Database. Patients had completed the Berlin questionnaire to assess for sleep apnea during a 9-month study period.
Obstructive sleep apnea is common in patients with type 2 diabetes and is also associated with glomerular hyperfiltration and proteinuria in patients with normal renal function, which raised the question of whether it might be related to chronic kidney disease progression, Dr. Pisoni explained. He noted that the association between obstructive sleep apnea and diabetic nephropathy has not been fully investigated.
The study demonstrated that the “simple approach” of assessing obstructive sleep apnea risk identifies patients who are also at increased risk of CKD progression, he said, adding that the findings require replication in a prospective cohort.
Dr. Pisoni reported having no disclosures.
Key clinical point: Screening for OSA risk might help identify patients at higher risk for CKD progression.
Major finding: Median loss of eGFR was -3.4 vs. 1.5 ml/min/1.73 m2 per year in patients at high vs. low risk for OSA.
Data source: A retrospective cohort study involving 56 patients.
Disclosures: Dr. Pisoni reported having no disclosures.
Implications of cholesterol guidelines for cardiology practices
CHICAGO – Cardiologists certainly have their work cut out in order to bring their patients into concordance with the 2013 American College of Cardiology/American Heart Association cholesterol guidelines, according to Dr. Thomas M. Maddox.
An analysis of nearly 1.2 million patients in U.S. outpatient cardiology practices showed that one in three who appeared to have an indication for statin therapy under the latest guidelines weren’t on a statin as of 2012. That constitutes a sizable “statin gap” that cardiologists need to address, he said at the American Heart Association scientific sessions.
Dr. Maddox presented an analysis of 1,174,535 adult patients under cardiologists’ care during 2008-2012 in more than 100 U.S. outpatient cardiology practices participating in the voluntary National Cardiovascular Data Registry’s Practice Innovation and Clinical Excellence Registry (NCDR PINNACLE). Under this national office-based quality improvement program sponsored by the ACC, patient electronic medical record (EMR) data gets uploaded to the registry nightly.
The 2013 ACC/AHA cholesterol guidelines in some ways greatly simplified patient management. The guidelines redefined the risk groups warranting treatment: basically, patients with known atherosclerotic cardiovascular disease (ASCVD), diabetes, an off-treatment LDL of 190 mg/dL or more, or a 10-year ASCVD risk of 7.5% or greater using the risk calculator incorporated in the guidelines (Circulation 2014; 129:S1-45). Also, physicians were advised to use fixed-dose statins and no longer to treat to an LDL target, thereby making repeated LDL testing unnecessary.
The purposes of this new NCDR PINNACLE study were to evaluate the potential impact of the new guidelines on current cardiology practice through an assessment of current treatment and testing patterns, and to make a determination of the scope of changes necessary under the 2013 guidelines, explained Dr. Maddox, a cardiologist at the Veterans Affairs Eastern Colorado Health Care System and the University of Colorado at Denver.
Under the new guidelines, 1,129,205 adult cardiology patients, or 96% of the study population, appeared to be candidates for statin therapy, most often because they had known ASCVD, as was the case in 88%, or diabetes without known ASCVD, accounting for another 6%.
Among the statin-eligible patients, 29% were not on any lipid-lowering therapy, and another 3% were on nonstatin lipid-lowering agents only, which is not recommended in the guidelines. Thus, 32% of the cardiologists’ patients for whom statin therapy appeared to be indicated under the 2013 guidelines weren’t on it.
In addition, 29% of statin-eligible patients were on combined lipid-lowering therapy with a statin plus a nonstatin, such as niacin, a fibrate, or ezetimibe. The guidelines don’t recommend the use of nonstatins because of the lack of evidence of clinical benefit, so cardiologists will want to reconsider their use of combination therapy in this sizable group. The major caveat here is that the guidelines are likely to be revised to embrace the selective use of a moderate-intensity statin plus ezetimibe on the basis of the positive findings of the IMPROVE-IT trial, also presented at the AHA meeting, Dr. Maddox noted.
The registry analysis also pointed to a need to reduce repeated LDL testing, which the guidelines characterize as costly, inconvenient, and unnecessary. Nearly 21% of subjects had at least two LDL assessments during the 4-year period, and 7% had more than four. And those figures probably underestimate the true rate of LDL testing, since many patients may have also had LDL measurements taken in primary care settings.
Several audience members rose to decry the one-in-three-patient statin gap as evidence of widespread substandard care by cardiologists, especially given that 28% of the patients with known ASCVD and 36% with diabetes were not receiving any lipid-lowering therapy, contrary to recommendations both in the current ACC/AHA guidelines and the guidelines in place in 2012. There is good evidence to show that putting such patients on statin therapy would result in roughly a 25% reduction in cardiovascular events.
But Dr. Maddox took a more sanguine view of the statin gap. Although it’s likely there is some heterogeneity in clinical practice that needs to be corrected, he cautioned that the limitations of an analysis based upon EMR data must be borne in mind. Some cardiologists probably didn’t record the use of statins at every visit, and they may not have always reliably documented patients’ intolerance of statins in the EMR.
The NCDR PINNACLE Registry is supported by the American College of Cardiology Foundation. Dr. Maddox reported having no relevant financial conflicts of interest.
CHICAGO – Cardiologists certainly have their work cut out in order to bring their patients into concordance with the 2013 American College of Cardiology/American Heart Association cholesterol guidelines, according to Dr. Thomas M. Maddox.
An analysis of nearly 1.2 million patients in U.S. outpatient cardiology practices showed that one in three who appeared to have an indication for statin therapy under the latest guidelines weren’t on a statin as of 2012. That constitutes a sizable “statin gap” that cardiologists need to address, he said at the American Heart Association scientific sessions.
Dr. Maddox presented an analysis of 1,174,535 adult patients under cardiologists’ care during 2008-2012 in more than 100 U.S. outpatient cardiology practices participating in the voluntary National Cardiovascular Data Registry’s Practice Innovation and Clinical Excellence Registry (NCDR PINNACLE). Under this national office-based quality improvement program sponsored by the ACC, patient electronic medical record (EMR) data gets uploaded to the registry nightly.
The 2013 ACC/AHA cholesterol guidelines in some ways greatly simplified patient management. The guidelines redefined the risk groups warranting treatment: basically, patients with known atherosclerotic cardiovascular disease (ASCVD), diabetes, an off-treatment LDL of 190 mg/dL or more, or a 10-year ASCVD risk of 7.5% or greater using the risk calculator incorporated in the guidelines (Circulation 2014; 129:S1-45). Also, physicians were advised to use fixed-dose statins and no longer to treat to an LDL target, thereby making repeated LDL testing unnecessary.
The purposes of this new NCDR PINNACLE study were to evaluate the potential impact of the new guidelines on current cardiology practice through an assessment of current treatment and testing patterns, and to make a determination of the scope of changes necessary under the 2013 guidelines, explained Dr. Maddox, a cardiologist at the Veterans Affairs Eastern Colorado Health Care System and the University of Colorado at Denver.
Under the new guidelines, 1,129,205 adult cardiology patients, or 96% of the study population, appeared to be candidates for statin therapy, most often because they had known ASCVD, as was the case in 88%, or diabetes without known ASCVD, accounting for another 6%.
Among the statin-eligible patients, 29% were not on any lipid-lowering therapy, and another 3% were on nonstatin lipid-lowering agents only, which is not recommended in the guidelines. Thus, 32% of the cardiologists’ patients for whom statin therapy appeared to be indicated under the 2013 guidelines weren’t on it.
In addition, 29% of statin-eligible patients were on combined lipid-lowering therapy with a statin plus a nonstatin, such as niacin, a fibrate, or ezetimibe. The guidelines don’t recommend the use of nonstatins because of the lack of evidence of clinical benefit, so cardiologists will want to reconsider their use of combination therapy in this sizable group. The major caveat here is that the guidelines are likely to be revised to embrace the selective use of a moderate-intensity statin plus ezetimibe on the basis of the positive findings of the IMPROVE-IT trial, also presented at the AHA meeting, Dr. Maddox noted.
The registry analysis also pointed to a need to reduce repeated LDL testing, which the guidelines characterize as costly, inconvenient, and unnecessary. Nearly 21% of subjects had at least two LDL assessments during the 4-year period, and 7% had more than four. And those figures probably underestimate the true rate of LDL testing, since many patients may have also had LDL measurements taken in primary care settings.
Several audience members rose to decry the one-in-three-patient statin gap as evidence of widespread substandard care by cardiologists, especially given that 28% of the patients with known ASCVD and 36% with diabetes were not receiving any lipid-lowering therapy, contrary to recommendations both in the current ACC/AHA guidelines and the guidelines in place in 2012. There is good evidence to show that putting such patients on statin therapy would result in roughly a 25% reduction in cardiovascular events.
But Dr. Maddox took a more sanguine view of the statin gap. Although it’s likely there is some heterogeneity in clinical practice that needs to be corrected, he cautioned that the limitations of an analysis based upon EMR data must be borne in mind. Some cardiologists probably didn’t record the use of statins at every visit, and they may not have always reliably documented patients’ intolerance of statins in the EMR.
The NCDR PINNACLE Registry is supported by the American College of Cardiology Foundation. Dr. Maddox reported having no relevant financial conflicts of interest.
CHICAGO – Cardiologists certainly have their work cut out in order to bring their patients into concordance with the 2013 American College of Cardiology/American Heart Association cholesterol guidelines, according to Dr. Thomas M. Maddox.
An analysis of nearly 1.2 million patients in U.S. outpatient cardiology practices showed that one in three who appeared to have an indication for statin therapy under the latest guidelines weren’t on a statin as of 2012. That constitutes a sizable “statin gap” that cardiologists need to address, he said at the American Heart Association scientific sessions.
Dr. Maddox presented an analysis of 1,174,535 adult patients under cardiologists’ care during 2008-2012 in more than 100 U.S. outpatient cardiology practices participating in the voluntary National Cardiovascular Data Registry’s Practice Innovation and Clinical Excellence Registry (NCDR PINNACLE). Under this national office-based quality improvement program sponsored by the ACC, patient electronic medical record (EMR) data gets uploaded to the registry nightly.
The 2013 ACC/AHA cholesterol guidelines in some ways greatly simplified patient management. The guidelines redefined the risk groups warranting treatment: basically, patients with known atherosclerotic cardiovascular disease (ASCVD), diabetes, an off-treatment LDL of 190 mg/dL or more, or a 10-year ASCVD risk of 7.5% or greater using the risk calculator incorporated in the guidelines (Circulation 2014; 129:S1-45). Also, physicians were advised to use fixed-dose statins and no longer to treat to an LDL target, thereby making repeated LDL testing unnecessary.
The purposes of this new NCDR PINNACLE study were to evaluate the potential impact of the new guidelines on current cardiology practice through an assessment of current treatment and testing patterns, and to make a determination of the scope of changes necessary under the 2013 guidelines, explained Dr. Maddox, a cardiologist at the Veterans Affairs Eastern Colorado Health Care System and the University of Colorado at Denver.
Under the new guidelines, 1,129,205 adult cardiology patients, or 96% of the study population, appeared to be candidates for statin therapy, most often because they had known ASCVD, as was the case in 88%, or diabetes without known ASCVD, accounting for another 6%.
Among the statin-eligible patients, 29% were not on any lipid-lowering therapy, and another 3% were on nonstatin lipid-lowering agents only, which is not recommended in the guidelines. Thus, 32% of the cardiologists’ patients for whom statin therapy appeared to be indicated under the 2013 guidelines weren’t on it.
In addition, 29% of statin-eligible patients were on combined lipid-lowering therapy with a statin plus a nonstatin, such as niacin, a fibrate, or ezetimibe. The guidelines don’t recommend the use of nonstatins because of the lack of evidence of clinical benefit, so cardiologists will want to reconsider their use of combination therapy in this sizable group. The major caveat here is that the guidelines are likely to be revised to embrace the selective use of a moderate-intensity statin plus ezetimibe on the basis of the positive findings of the IMPROVE-IT trial, also presented at the AHA meeting, Dr. Maddox noted.
The registry analysis also pointed to a need to reduce repeated LDL testing, which the guidelines characterize as costly, inconvenient, and unnecessary. Nearly 21% of subjects had at least two LDL assessments during the 4-year period, and 7% had more than four. And those figures probably underestimate the true rate of LDL testing, since many patients may have also had LDL measurements taken in primary care settings.
Several audience members rose to decry the one-in-three-patient statin gap as evidence of widespread substandard care by cardiologists, especially given that 28% of the patients with known ASCVD and 36% with diabetes were not receiving any lipid-lowering therapy, contrary to recommendations both in the current ACC/AHA guidelines and the guidelines in place in 2012. There is good evidence to show that putting such patients on statin therapy would result in roughly a 25% reduction in cardiovascular events.
But Dr. Maddox took a more sanguine view of the statin gap. Although it’s likely there is some heterogeneity in clinical practice that needs to be corrected, he cautioned that the limitations of an analysis based upon EMR data must be borne in mind. Some cardiologists probably didn’t record the use of statins at every visit, and they may not have always reliably documented patients’ intolerance of statins in the EMR.
The NCDR PINNACLE Registry is supported by the American College of Cardiology Foundation. Dr. Maddox reported having no relevant financial conflicts of interest.
AT THE AHA SCIENTIFIC SESSIONS
Key clinical point: As U.S. cardiologists increasingly “get with the guidelines” regarding cholesterol lowering, expect to see large increases in statin use, much less prescribing of nonstatin therapies, and a lot less repeat LDL testing.
Major finding: Nearly one in three U.S. patients under a cardiologist’s care who appear to have an indication for statin therapy under the 2013 ACC/AHA cholesterol guidelines weren’t on a statin as of 2012.
Data source: An analysis of nearly 1.2 million patients in an ongoing nationwide voluntary prospective registry aimed at improving the quality of cardiovascular care.
Disclosures: The NCDR PINNACLE Registry is supported by the American College of Cardiology Foundation. The presenter reported having no relevant financial conflicts.
Vitamin D landscape marked by lack of consensus
If you’re stumped about what to tell patients who ask you if they should be adding supplemental vitamin D to their diet, you’re not alone.
Speaker after speaker at a public conference on vitamin D sponsored by the National Institutes of Health acknowledged that there is general disagreement among well-respected scientists and medical organizations not only about recommended intakes, but about whether supplementation of vitamin D (25-hydroxyvitamin D) has any impact on ailments ranging from depression and nonspecific pain to hypertension and fall prevention.
“Most people agree that at least in high-risk individuals with osteoporosis, vitamin D has an impact on bone and skeletal health, but maybe not in those who are asymptomatic and in healthy individuals as a preventive tool,” said Dr. Clifford J. Rosen, director of clinical and translational research and a senior scientist at Maine Medical Center Research Institute, Scarborough, Me. “There seems to be growing evidence that in high-risk individuals, or in those who repeatedly fall, vitamin D may have an impact, particularly in those with very-low levels of 25-D.”
Other relationships lack conclusive randomized control data, although there are strong observational data for vitamin D’s role in preventing type 2 diabetes. Dr. Rosen is one of the investigators in a National Institute of Diabetes and Digestive and Kidney Diseases–funded clinical trial known as D2D: a study of 4,000 IU of vitamin D vs. placebo in high-risk individuals with obesity and prediabetes. The primary outcome is time to onset of type 2 diabetes. “Currently, that [trial is] in its second year and is about 30% recruited,” said Dr. Rosen, who is also a member of the FDA Advisory Panel on Endocrinologic and Metabolic Drugs. “One of the biggest obstacles to recruitment has been the constant use of vitamin D by people being screened. [They say] ‘Why should I go into a clinical trial when I’m taking vitamin D, and my doctor tells me that it will prevent diabetes?’”
The potential benefit of vitamin D intake on reducing the risk for developing cardiovascular disease, cancer, and stroke is being investigated in the NIH-funded VITAL trial. Clinicians involved in this project have enrolled more than 28,000 men and women with no prior history of these illnesses, investigating the impact of taking vitamin D3 supplements (2,000 IU/day) or omega 3 fatty acids (1 G/day).
In the meantime, current vitamin D guidance and conclusions differ among leading medical organizations. For example, the American Geriatrics Society (AGS) recommends a daily dose of 4,000 IU for fall prevention in elderly individuals. This differs from the daily dose for adults recommended by the Endocrine Society (1,500-2,000 IU), Institute of Medicine (an average requirement of 400 IU and 600-800 IU meeting the greatest need), the United States Preventive Services Task Force (600-800 IU as a fall-prevention strategy), the Standing Committee of European Doctors (600-800 IU), and the National Osteoporosis Foundation (400-1,000 IU). “How do we reconcile vitamin D intake with vitamin D levels?” asked Dr. Rosen, who is also a professor of medicine at Tufts University. “This is one of the hallmarks of the questions or problems we have, or the lack of consistency of data. We know that intakes do not reflect serum 25-D levels to a great extent.”
In addition, the terminology for serum 25-D is not clear. “Is it a deficiency? Is it a disease? What does that mean?” he asked. “More importantly, we don’t really understand what vitamin D insufficiency is. Is it a disease? Not a disease? Is it inadequate intake?”
The definition of optimal 25-D is also a matter of debate, he continued. “What’s the upper level? What does pharmacological treatment mean with respect to long-term outcomes. What is the tolerable upper limit? What is the potentially toxic limit?”
A lack of consensus also exists regarding one’s risk of vitamin D deficiency. For example, the AGS puts this risk at less than 30 ng/mL, the Endocrine Society at less than 20 ng/mL, and the Institute of Medicine at less than 12 ng/mL. “We have a lot of inconsistency in the data,” Dr. Rosen concluded. “There’s not unanimity in recommendations, even among so-called experts.”
During the same session, Dr. Peter Millard presented findings from a national analysis of vitamin D level testing in adult patients conducted from January 2013 to September 2014. The sample, drawn from Athenahealth integrated electronic health records (EHRs), included more than 6,000 internists and family physicians and 2,000 nonphysician clinicians, translating into an estimated 900,000 patient encounters per month. During that time period 4%-5% of all adult patient encounters were associated with a vitamin D test ordered.
“Curiously, the Sunbelt states of Arizona and Nevada have a high testing rate, in the 8.5%-10.7% range,” said Dr. Millard, a family physician who practices at Seaport Community Health Center in Belfast, Me. “Perhaps it’s because of snowbirds coming down from Canada to get tested. I don’t know. There are certainly lots of retirees in those two states. There are also high levels of testing in Illinois, Maryland, Rhode Island, and Delaware. I don’t have a hypothesis as to why there are variations, but that’s about 10% of all encounters associated with a vitamin D test in those states, which seems like quite a high number.”
The greatest proportion of tests occurred in patients over the age of 65 (39%) years, and about 70% of all vitamin D tests were conducted in females.
Fewer than 0.1% of tests were associated with a diagnosis of osteoporosis. The most common diagnoses associated with ordering of a vitamin D test were depression and falls. “This was particularly true in the elderly group, where falls became much more important, and depression slightly less,” Dr. Millard said. He noted that the EHR findings “don’t answer many questions but clearly the cost for [vitamin D] testing itself is significant. The amount of time my colleagues are spending doing tests and interpreting tests for patients [and] deciding what to do about those results is very considerable. In the long run, the research to resolve these issues may not be anywhere near as expensive as continuing to do what we’re doing now.”
Dr. Rosen and Dr. Millard reporting having no financial disclosures.
On Twitter @dougbrunk
If you’re stumped about what to tell patients who ask you if they should be adding supplemental vitamin D to their diet, you’re not alone.
Speaker after speaker at a public conference on vitamin D sponsored by the National Institutes of Health acknowledged that there is general disagreement among well-respected scientists and medical organizations not only about recommended intakes, but about whether supplementation of vitamin D (25-hydroxyvitamin D) has any impact on ailments ranging from depression and nonspecific pain to hypertension and fall prevention.
“Most people agree that at least in high-risk individuals with osteoporosis, vitamin D has an impact on bone and skeletal health, but maybe not in those who are asymptomatic and in healthy individuals as a preventive tool,” said Dr. Clifford J. Rosen, director of clinical and translational research and a senior scientist at Maine Medical Center Research Institute, Scarborough, Me. “There seems to be growing evidence that in high-risk individuals, or in those who repeatedly fall, vitamin D may have an impact, particularly in those with very-low levels of 25-D.”
Other relationships lack conclusive randomized control data, although there are strong observational data for vitamin D’s role in preventing type 2 diabetes. Dr. Rosen is one of the investigators in a National Institute of Diabetes and Digestive and Kidney Diseases–funded clinical trial known as D2D: a study of 4,000 IU of vitamin D vs. placebo in high-risk individuals with obesity and prediabetes. The primary outcome is time to onset of type 2 diabetes. “Currently, that [trial is] in its second year and is about 30% recruited,” said Dr. Rosen, who is also a member of the FDA Advisory Panel on Endocrinologic and Metabolic Drugs. “One of the biggest obstacles to recruitment has been the constant use of vitamin D by people being screened. [They say] ‘Why should I go into a clinical trial when I’m taking vitamin D, and my doctor tells me that it will prevent diabetes?’”
The potential benefit of vitamin D intake on reducing the risk for developing cardiovascular disease, cancer, and stroke is being investigated in the NIH-funded VITAL trial. Clinicians involved in this project have enrolled more than 28,000 men and women with no prior history of these illnesses, investigating the impact of taking vitamin D3 supplements (2,000 IU/day) or omega 3 fatty acids (1 G/day).
In the meantime, current vitamin D guidance and conclusions differ among leading medical organizations. For example, the American Geriatrics Society (AGS) recommends a daily dose of 4,000 IU for fall prevention in elderly individuals. This differs from the daily dose for adults recommended by the Endocrine Society (1,500-2,000 IU), Institute of Medicine (an average requirement of 400 IU and 600-800 IU meeting the greatest need), the United States Preventive Services Task Force (600-800 IU as a fall-prevention strategy), the Standing Committee of European Doctors (600-800 IU), and the National Osteoporosis Foundation (400-1,000 IU). “How do we reconcile vitamin D intake with vitamin D levels?” asked Dr. Rosen, who is also a professor of medicine at Tufts University. “This is one of the hallmarks of the questions or problems we have, or the lack of consistency of data. We know that intakes do not reflect serum 25-D levels to a great extent.”
In addition, the terminology for serum 25-D is not clear. “Is it a deficiency? Is it a disease? What does that mean?” he asked. “More importantly, we don’t really understand what vitamin D insufficiency is. Is it a disease? Not a disease? Is it inadequate intake?”
The definition of optimal 25-D is also a matter of debate, he continued. “What’s the upper level? What does pharmacological treatment mean with respect to long-term outcomes. What is the tolerable upper limit? What is the potentially toxic limit?”
A lack of consensus also exists regarding one’s risk of vitamin D deficiency. For example, the AGS puts this risk at less than 30 ng/mL, the Endocrine Society at less than 20 ng/mL, and the Institute of Medicine at less than 12 ng/mL. “We have a lot of inconsistency in the data,” Dr. Rosen concluded. “There’s not unanimity in recommendations, even among so-called experts.”
During the same session, Dr. Peter Millard presented findings from a national analysis of vitamin D level testing in adult patients conducted from January 2013 to September 2014. The sample, drawn from Athenahealth integrated electronic health records (EHRs), included more than 6,000 internists and family physicians and 2,000 nonphysician clinicians, translating into an estimated 900,000 patient encounters per month. During that time period 4%-5% of all adult patient encounters were associated with a vitamin D test ordered.
“Curiously, the Sunbelt states of Arizona and Nevada have a high testing rate, in the 8.5%-10.7% range,” said Dr. Millard, a family physician who practices at Seaport Community Health Center in Belfast, Me. “Perhaps it’s because of snowbirds coming down from Canada to get tested. I don’t know. There are certainly lots of retirees in those two states. There are also high levels of testing in Illinois, Maryland, Rhode Island, and Delaware. I don’t have a hypothesis as to why there are variations, but that’s about 10% of all encounters associated with a vitamin D test in those states, which seems like quite a high number.”
The greatest proportion of tests occurred in patients over the age of 65 (39%) years, and about 70% of all vitamin D tests were conducted in females.
Fewer than 0.1% of tests were associated with a diagnosis of osteoporosis. The most common diagnoses associated with ordering of a vitamin D test were depression and falls. “This was particularly true in the elderly group, where falls became much more important, and depression slightly less,” Dr. Millard said. He noted that the EHR findings “don’t answer many questions but clearly the cost for [vitamin D] testing itself is significant. The amount of time my colleagues are spending doing tests and interpreting tests for patients [and] deciding what to do about those results is very considerable. In the long run, the research to resolve these issues may not be anywhere near as expensive as continuing to do what we’re doing now.”
Dr. Rosen and Dr. Millard reporting having no financial disclosures.
On Twitter @dougbrunk
If you’re stumped about what to tell patients who ask you if they should be adding supplemental vitamin D to their diet, you’re not alone.
Speaker after speaker at a public conference on vitamin D sponsored by the National Institutes of Health acknowledged that there is general disagreement among well-respected scientists and medical organizations not only about recommended intakes, but about whether supplementation of vitamin D (25-hydroxyvitamin D) has any impact on ailments ranging from depression and nonspecific pain to hypertension and fall prevention.
“Most people agree that at least in high-risk individuals with osteoporosis, vitamin D has an impact on bone and skeletal health, but maybe not in those who are asymptomatic and in healthy individuals as a preventive tool,” said Dr. Clifford J. Rosen, director of clinical and translational research and a senior scientist at Maine Medical Center Research Institute, Scarborough, Me. “There seems to be growing evidence that in high-risk individuals, or in those who repeatedly fall, vitamin D may have an impact, particularly in those with very-low levels of 25-D.”
Other relationships lack conclusive randomized control data, although there are strong observational data for vitamin D’s role in preventing type 2 diabetes. Dr. Rosen is one of the investigators in a National Institute of Diabetes and Digestive and Kidney Diseases–funded clinical trial known as D2D: a study of 4,000 IU of vitamin D vs. placebo in high-risk individuals with obesity and prediabetes. The primary outcome is time to onset of type 2 diabetes. “Currently, that [trial is] in its second year and is about 30% recruited,” said Dr. Rosen, who is also a member of the FDA Advisory Panel on Endocrinologic and Metabolic Drugs. “One of the biggest obstacles to recruitment has been the constant use of vitamin D by people being screened. [They say] ‘Why should I go into a clinical trial when I’m taking vitamin D, and my doctor tells me that it will prevent diabetes?’”
The potential benefit of vitamin D intake on reducing the risk for developing cardiovascular disease, cancer, and stroke is being investigated in the NIH-funded VITAL trial. Clinicians involved in this project have enrolled more than 28,000 men and women with no prior history of these illnesses, investigating the impact of taking vitamin D3 supplements (2,000 IU/day) or omega 3 fatty acids (1 G/day).
In the meantime, current vitamin D guidance and conclusions differ among leading medical organizations. For example, the American Geriatrics Society (AGS) recommends a daily dose of 4,000 IU for fall prevention in elderly individuals. This differs from the daily dose for adults recommended by the Endocrine Society (1,500-2,000 IU), Institute of Medicine (an average requirement of 400 IU and 600-800 IU meeting the greatest need), the United States Preventive Services Task Force (600-800 IU as a fall-prevention strategy), the Standing Committee of European Doctors (600-800 IU), and the National Osteoporosis Foundation (400-1,000 IU). “How do we reconcile vitamin D intake with vitamin D levels?” asked Dr. Rosen, who is also a professor of medicine at Tufts University. “This is one of the hallmarks of the questions or problems we have, or the lack of consistency of data. We know that intakes do not reflect serum 25-D levels to a great extent.”
In addition, the terminology for serum 25-D is not clear. “Is it a deficiency? Is it a disease? What does that mean?” he asked. “More importantly, we don’t really understand what vitamin D insufficiency is. Is it a disease? Not a disease? Is it inadequate intake?”
The definition of optimal 25-D is also a matter of debate, he continued. “What’s the upper level? What does pharmacological treatment mean with respect to long-term outcomes. What is the tolerable upper limit? What is the potentially toxic limit?”
A lack of consensus also exists regarding one’s risk of vitamin D deficiency. For example, the AGS puts this risk at less than 30 ng/mL, the Endocrine Society at less than 20 ng/mL, and the Institute of Medicine at less than 12 ng/mL. “We have a lot of inconsistency in the data,” Dr. Rosen concluded. “There’s not unanimity in recommendations, even among so-called experts.”
During the same session, Dr. Peter Millard presented findings from a national analysis of vitamin D level testing in adult patients conducted from January 2013 to September 2014. The sample, drawn from Athenahealth integrated electronic health records (EHRs), included more than 6,000 internists and family physicians and 2,000 nonphysician clinicians, translating into an estimated 900,000 patient encounters per month. During that time period 4%-5% of all adult patient encounters were associated with a vitamin D test ordered.
“Curiously, the Sunbelt states of Arizona and Nevada have a high testing rate, in the 8.5%-10.7% range,” said Dr. Millard, a family physician who practices at Seaport Community Health Center in Belfast, Me. “Perhaps it’s because of snowbirds coming down from Canada to get tested. I don’t know. There are certainly lots of retirees in those two states. There are also high levels of testing in Illinois, Maryland, Rhode Island, and Delaware. I don’t have a hypothesis as to why there are variations, but that’s about 10% of all encounters associated with a vitamin D test in those states, which seems like quite a high number.”
The greatest proportion of tests occurred in patients over the age of 65 (39%) years, and about 70% of all vitamin D tests were conducted in females.
Fewer than 0.1% of tests were associated with a diagnosis of osteoporosis. The most common diagnoses associated with ordering of a vitamin D test were depression and falls. “This was particularly true in the elderly group, where falls became much more important, and depression slightly less,” Dr. Millard said. He noted that the EHR findings “don’t answer many questions but clearly the cost for [vitamin D] testing itself is significant. The amount of time my colleagues are spending doing tests and interpreting tests for patients [and] deciding what to do about those results is very considerable. In the long run, the research to resolve these issues may not be anywhere near as expensive as continuing to do what we’re doing now.”
Dr. Rosen and Dr. Millard reporting having no financial disclosures.
On Twitter @dougbrunk







