Diet, exercise, and CVD: When counseling makes the most sense

Article Type
Changed
Display Headline
Diet, exercise, and CVD: When counseling makes the most sense

In the past 2 years, the US Preventive Services Task Force (USPSTF) has released 2 recommendations on the primary prevention of cardiovascular disease (CVD). And it is proposing a third. The first recommendation, released in 2012, covered behavioral counseling on diet and physical activity to prevent CVD in individuals without documented CVD risks.1 The second recommendation, released earlier this year, covered the use of vitamins and mineral supplements to prevent CVD.2 A draft of the proposed third recommendation, which was posted for public review until early June, covers behavioral counseling to help adults with known CVD risk factors improve their diet and physical activity (TABLE).1-3

Counseling can influence behavior, but does it affect outcomes?

CVD is the leading cause of death in the United States, accounting for >596,000 deaths per year with an age-adjusted rate of 191.4 per 100,000.4 Age-adjusted CVD mortality has been declining for decades thanks to improved medical care and a reduction in smoking and other risk factors. It is well documented that adults who follow national recommendations for a healthy diet and levels of physical activity have lower rates of CVD and CVD mortality.1 The USPSTF agrees with the American Heart Association (AHA) and the American College of Cardiology (ACC) that everyone would benefit from a healthier diet and more exercise.5 However, the Task Force reviewed the evidence on behavioral counseling in the primary care setting and found that, for adults who do not have known CVD, hypertension, hyperlipidemia, or diabetes, even high-intensity behavioral counseling resulted in only a small benefit in intermediate outcomes, which would translate into very small population-wide improvements.

In the evidence report prepared by the Task Force, the intensity of counseling intervention was defined as low, medium, or high if it lasted, respectively, 1 to 30 minutes, 31 to 360 minutes, or ≥361 minutes. Low-intensity interventions involved brief counseling sessions performed by primary care clinicians or mailing educational materials to patients or both. Medium- and high-intensity interventions usually were conducted by health educators, nutritionists, or other professionals instead of primary care clinicians. These interventions improved patients’ consumption of a healthier diet and participation in physical activity, but yielded only modest reductions in body mass index (BMI), blood pressure (BP), and lipid levels. Moreover, no direct evidence exists for improved CVD outcomes with these interventions.

The recent AHA/ACC guideline on lifestyle modifications recommends that clinicians advise all adults on healthy dietary choices and exercise, based on the known benefits of these behaviors. The guideline developers recognized that the evidence for benefits appears in the highest risk groups, and they did not assess the evidence for effectiveness of behavioral counseling itself.6

The Task Force rationale 
for recommending counseling


In the draft of its third recommendation addressing those at highest risk for CVD, the Task Force does advise high-intensity behavioral counseling for those who are overweight or obese and who have other CVD risk factors such as hypertension, hyperlipidemia, or impaired fasting glucose levels. This proposed new recommendation replaces one from 2003 that advised intensive dietary counseling for those with CVD risks including hyperlipidemia. The draft focuses attention in primary care on those who are overweight or obese. It complements another Task Force recommendation to provide or to refer patients for intensive multicomponent behavioral interventions if they are obese, defined as a BMI ≥30 kg/m2.7

The potential benefit of behavioral counseling for those without documented CVD risks is relatively small. The Task Force cited 2 examples of behavioral interventions that can improve outcomes in those with CVD risks—the Diabetes Prevention Program and PREMIER, a set of interventions to lower BP.8,9 These programs have improved intermediate outcomes after 12 to 24 months, decreasing total cholesterol by 3 to 6 mg/dL and low-density lipoprotein cholesterol by 1.5 to 5 mg/dL; systolic and diastolic BP by 1 to 3 mm Hg and 1 to 2 mm Hg, respectively; fasting glucose by 1 to 3 mg/dL; and weight by approximately 3 kg. The Task Force felt that while hard evidence is lacking for reducing CVD with counseling, epidemiologic studies demonstrate that, in those at high risk, reductions in CVD rates generally reflect the magnitude of improvement in intermediate measures.

Half of all adults in the United States have at least one documented CVD risk factor. But the potential benefit of behavioral counseling for those without documented CVD risks is relatively small. Rather than expending effort for only modest gain in the lower risk group, the Task Force recommends focusing on those with highest CVD risk. Thus the non-high risk group received a “C” recommendation, while the group of overweight and obese patients with other CVD risks received a “B” recommendation for essentially the same interventions. (For more on the grade definitions, see http://www.uspreventiveservicestaskforce.org/uspstf/grades.htm.)

 

 

In addition to counseling...

The Task Force also recommends other interventions for the primary prevention of CVD:

  • screening for and treating hypertension
  • selectively screening for hyperlipidemia
  • using aspirin to prevent CVD in those at high risk

  • intensive counseling on weight management for those who are obese
  • advising children and adolescents to avoid tobacco, and using brief interventions for tobacco cessation for smokers.

The recent Task Force recommendation on the use of vitamins, minerals, and multivitamins2 states that, while many adults take vitamin and mineral supplements in the belief that they prevent both heart disease and cancer, there is no evidence to support that belief. And there is good evidence that both β-carotene and vitamin E do not prevent disease. For other vitamins and minerals, singly or in combination, there is insufficient evidence to recommend for or against their use.2

There is good evidence that both β-carotene and vitamin E do not prevent CVD or cancer.

The Community Preventive Services Task Force—a separate expert panel established by the US Department of Health and Human Services to complement the USPSTF—makes recommendations on population-level interventions and has a series of recommendations on ways to improve the population’s nutrition and physical activity.10 These community-based interventions, if widely implemented, would probably yield greater improvements in healthy eating and increased activity levels than resource-intense clinical interventions based on individual patients with low risk.

References

1. USPSTF. Behavioral counseling to promote a healthful diet and physical activity for cardiovascular disease prevention in adults. US Preventive Services Task Force Web site. Available at: http://www.uspreventiveservicestaskforce.org/uspstf/uspsphys.htm. Accessed May 21, 2014.

2. USPSTF. Vitamin, mineral, and multivitamin supplements for the primary prevention of cardiovascular disease and cancer. US Preventive Services Task Force Web site. Available at: http://www.uspreventiveservicestaskforce.org/uspstf14/vitasupp/vitasuppfinalrs.htm. Accessed May 21, 2014.

3. USPSTF. Behavioral counseling to promote a healthy diet and physical activity for cardiovascular disease prevention in adults with known risk factors: US Preventive Services Task Force Recommendation Statement (Draft). US Preventive Services Task Force Web site. Available at: http://www.uspreventiveservicestaskforce.org/uspstf13/cvdhighrisk/cvdhighriskdraftrec.htm. Accessed July 22, 2014.

4. Centers for Disease Control and Prevention. Hoyert DL, Xu J. Deaths: preliminary data for 2011. Natl Vital Stat Report. 2012;61:1-51.

5. Eckel RH, Jakicic JM, Ard, JD, et al. 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. Circulation. 2013 Nov 12. [Epub ahead of print].


6. Stone NJ, Robinson JG, Lichtenstein AH, et al; 2013 ACC/AHA Cholesterol Guideline Panel. Treatment of blood cholesterol to reduce atherosclerotic cardiovascular disease risk in adults: synopsis of the 2013 American College of Cardiology/American Heart Association cholesterol guideline. Ann Intern Med. 2014;160:339-343.

7. USPSTF. Screening for and management of obesity in adults. US Preventive Services Task Force Web site. Available at: http://www.uspreventiveservicestaskforce.org/uspstf/uspsobes.htm. Accessed May 21, 2014.

8. Knowler WC, Barrett-Connor E, Fowler SE, et al; Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346:393-403.

9. Elmer PJ, Obarzanek E, Vollmer WM, et al; PREMIER Collaborative Research Group. Effects of comprehensive lifestyle modification on diet, weight, physical fitness, and blood pressure control: 18-month results of a randomized trial. Ann Intern Med. 2006;144:485-495.

10. USPSTF. The Guide to Community Preventive Services. Community Preventive Services Task Force Web site. Available at: http://www.thecommunityguide.org/index.html. Accessed May 21, 2014.

Article PDF
Author and Disclosure Information

Doug Campos-Outcalt, MD, MPA
Medical Director, Mercy Care Plan, Phoenix, Ariz
[email protected]

Issue
The Journal of Family Practice - 63(8)
Publications
Topics
Page Number
458-460
Legacy Keywords
Doug Campos-Outcalt; MD; MPA; diet; exercise; CVD; cardiovascular disease; counseling; cardiovascular; nutrition
Sections
Author and Disclosure Information

Doug Campos-Outcalt, MD, MPA
Medical Director, Mercy Care Plan, Phoenix, Ariz
[email protected]

Author and Disclosure Information

Doug Campos-Outcalt, MD, MPA
Medical Director, Mercy Care Plan, Phoenix, Ariz
[email protected]

Article PDF
Article PDF

In the past 2 years, the US Preventive Services Task Force (USPSTF) has released 2 recommendations on the primary prevention of cardiovascular disease (CVD). And it is proposing a third. The first recommendation, released in 2012, covered behavioral counseling on diet and physical activity to prevent CVD in individuals without documented CVD risks.1 The second recommendation, released earlier this year, covered the use of vitamins and mineral supplements to prevent CVD.2 A draft of the proposed third recommendation, which was posted for public review until early June, covers behavioral counseling to help adults with known CVD risk factors improve their diet and physical activity (TABLE).1-3

Counseling can influence behavior, but does it affect outcomes?

CVD is the leading cause of death in the United States, accounting for >596,000 deaths per year with an age-adjusted rate of 191.4 per 100,000.4 Age-adjusted CVD mortality has been declining for decades thanks to improved medical care and a reduction in smoking and other risk factors. It is well documented that adults who follow national recommendations for a healthy diet and levels of physical activity have lower rates of CVD and CVD mortality.1 The USPSTF agrees with the American Heart Association (AHA) and the American College of Cardiology (ACC) that everyone would benefit from a healthier diet and more exercise.5 However, the Task Force reviewed the evidence on behavioral counseling in the primary care setting and found that, for adults who do not have known CVD, hypertension, hyperlipidemia, or diabetes, even high-intensity behavioral counseling resulted in only a small benefit in intermediate outcomes, which would translate into very small population-wide improvements.

In the evidence report prepared by the Task Force, the intensity of counseling intervention was defined as low, medium, or high if it lasted, respectively, 1 to 30 minutes, 31 to 360 minutes, or ≥361 minutes. Low-intensity interventions involved brief counseling sessions performed by primary care clinicians or mailing educational materials to patients or both. Medium- and high-intensity interventions usually were conducted by health educators, nutritionists, or other professionals instead of primary care clinicians. These interventions improved patients’ consumption of a healthier diet and participation in physical activity, but yielded only modest reductions in body mass index (BMI), blood pressure (BP), and lipid levels. Moreover, no direct evidence exists for improved CVD outcomes with these interventions.

The recent AHA/ACC guideline on lifestyle modifications recommends that clinicians advise all adults on healthy dietary choices and exercise, based on the known benefits of these behaviors. The guideline developers recognized that the evidence for benefits appears in the highest risk groups, and they did not assess the evidence for effectiveness of behavioral counseling itself.6

The Task Force rationale 
for recommending counseling


In the draft of its third recommendation addressing those at highest risk for CVD, the Task Force does advise high-intensity behavioral counseling for those who are overweight or obese and who have other CVD risk factors such as hypertension, hyperlipidemia, or impaired fasting glucose levels. This proposed new recommendation replaces one from 2003 that advised intensive dietary counseling for those with CVD risks including hyperlipidemia. The draft focuses attention in primary care on those who are overweight or obese. It complements another Task Force recommendation to provide or to refer patients for intensive multicomponent behavioral interventions if they are obese, defined as a BMI ≥30 kg/m2.7

The potential benefit of behavioral counseling for those without documented CVD risks is relatively small. The Task Force cited 2 examples of behavioral interventions that can improve outcomes in those with CVD risks—the Diabetes Prevention Program and PREMIER, a set of interventions to lower BP.8,9 These programs have improved intermediate outcomes after 12 to 24 months, decreasing total cholesterol by 3 to 6 mg/dL and low-density lipoprotein cholesterol by 1.5 to 5 mg/dL; systolic and diastolic BP by 1 to 3 mm Hg and 1 to 2 mm Hg, respectively; fasting glucose by 1 to 3 mg/dL; and weight by approximately 3 kg. The Task Force felt that while hard evidence is lacking for reducing CVD with counseling, epidemiologic studies demonstrate that, in those at high risk, reductions in CVD rates generally reflect the magnitude of improvement in intermediate measures.

Half of all adults in the United States have at least one documented CVD risk factor. But the potential benefit of behavioral counseling for those without documented CVD risks is relatively small. Rather than expending effort for only modest gain in the lower risk group, the Task Force recommends focusing on those with highest CVD risk. Thus the non-high risk group received a “C” recommendation, while the group of overweight and obese patients with other CVD risks received a “B” recommendation for essentially the same interventions. (For more on the grade definitions, see http://www.uspreventiveservicestaskforce.org/uspstf/grades.htm.)

 

 

In addition to counseling...

The Task Force also recommends other interventions for the primary prevention of CVD:

  • screening for and treating hypertension
  • selectively screening for hyperlipidemia
  • using aspirin to prevent CVD in those at high risk

  • intensive counseling on weight management for those who are obese
  • advising children and adolescents to avoid tobacco, and using brief interventions for tobacco cessation for smokers.

The recent Task Force recommendation on the use of vitamins, minerals, and multivitamins2 states that, while many adults take vitamin and mineral supplements in the belief that they prevent both heart disease and cancer, there is no evidence to support that belief. And there is good evidence that both β-carotene and vitamin E do not prevent disease. For other vitamins and minerals, singly or in combination, there is insufficient evidence to recommend for or against their use.2

There is good evidence that both β-carotene and vitamin E do not prevent CVD or cancer.

The Community Preventive Services Task Force—a separate expert panel established by the US Department of Health and Human Services to complement the USPSTF—makes recommendations on population-level interventions and has a series of recommendations on ways to improve the population’s nutrition and physical activity.10 These community-based interventions, if widely implemented, would probably yield greater improvements in healthy eating and increased activity levels than resource-intense clinical interventions based on individual patients with low risk.

In the past 2 years, the US Preventive Services Task Force (USPSTF) has released 2 recommendations on the primary prevention of cardiovascular disease (CVD). And it is proposing a third. The first recommendation, released in 2012, covered behavioral counseling on diet and physical activity to prevent CVD in individuals without documented CVD risks.1 The second recommendation, released earlier this year, covered the use of vitamins and mineral supplements to prevent CVD.2 A draft of the proposed third recommendation, which was posted for public review until early June, covers behavioral counseling to help adults with known CVD risk factors improve their diet and physical activity (TABLE).1-3

Counseling can influence behavior, but does it affect outcomes?

CVD is the leading cause of death in the United States, accounting for >596,000 deaths per year with an age-adjusted rate of 191.4 per 100,000.4 Age-adjusted CVD mortality has been declining for decades thanks to improved medical care and a reduction in smoking and other risk factors. It is well documented that adults who follow national recommendations for a healthy diet and levels of physical activity have lower rates of CVD and CVD mortality.1 The USPSTF agrees with the American Heart Association (AHA) and the American College of Cardiology (ACC) that everyone would benefit from a healthier diet and more exercise.5 However, the Task Force reviewed the evidence on behavioral counseling in the primary care setting and found that, for adults who do not have known CVD, hypertension, hyperlipidemia, or diabetes, even high-intensity behavioral counseling resulted in only a small benefit in intermediate outcomes, which would translate into very small population-wide improvements.

In the evidence report prepared by the Task Force, the intensity of counseling intervention was defined as low, medium, or high if it lasted, respectively, 1 to 30 minutes, 31 to 360 minutes, or ≥361 minutes. Low-intensity interventions involved brief counseling sessions performed by primary care clinicians or mailing educational materials to patients or both. Medium- and high-intensity interventions usually were conducted by health educators, nutritionists, or other professionals instead of primary care clinicians. These interventions improved patients’ consumption of a healthier diet and participation in physical activity, but yielded only modest reductions in body mass index (BMI), blood pressure (BP), and lipid levels. Moreover, no direct evidence exists for improved CVD outcomes with these interventions.

The recent AHA/ACC guideline on lifestyle modifications recommends that clinicians advise all adults on healthy dietary choices and exercise, based on the known benefits of these behaviors. The guideline developers recognized that the evidence for benefits appears in the highest risk groups, and they did not assess the evidence for effectiveness of behavioral counseling itself.6

The Task Force rationale 
for recommending counseling


In the draft of its third recommendation addressing those at highest risk for CVD, the Task Force does advise high-intensity behavioral counseling for those who are overweight or obese and who have other CVD risk factors such as hypertension, hyperlipidemia, or impaired fasting glucose levels. This proposed new recommendation replaces one from 2003 that advised intensive dietary counseling for those with CVD risks including hyperlipidemia. The draft focuses attention in primary care on those who are overweight or obese. It complements another Task Force recommendation to provide or to refer patients for intensive multicomponent behavioral interventions if they are obese, defined as a BMI ≥30 kg/m2.7

The potential benefit of behavioral counseling for those without documented CVD risks is relatively small. The Task Force cited 2 examples of behavioral interventions that can improve outcomes in those with CVD risks—the Diabetes Prevention Program and PREMIER, a set of interventions to lower BP.8,9 These programs have improved intermediate outcomes after 12 to 24 months, decreasing total cholesterol by 3 to 6 mg/dL and low-density lipoprotein cholesterol by 1.5 to 5 mg/dL; systolic and diastolic BP by 1 to 3 mm Hg and 1 to 2 mm Hg, respectively; fasting glucose by 1 to 3 mg/dL; and weight by approximately 3 kg. The Task Force felt that while hard evidence is lacking for reducing CVD with counseling, epidemiologic studies demonstrate that, in those at high risk, reductions in CVD rates generally reflect the magnitude of improvement in intermediate measures.

Half of all adults in the United States have at least one documented CVD risk factor. But the potential benefit of behavioral counseling for those without documented CVD risks is relatively small. Rather than expending effort for only modest gain in the lower risk group, the Task Force recommends focusing on those with highest CVD risk. Thus the non-high risk group received a “C” recommendation, while the group of overweight and obese patients with other CVD risks received a “B” recommendation for essentially the same interventions. (For more on the grade definitions, see http://www.uspreventiveservicestaskforce.org/uspstf/grades.htm.)

 

 

In addition to counseling...

The Task Force also recommends other interventions for the primary prevention of CVD:

  • screening for and treating hypertension
  • selectively screening for hyperlipidemia
  • using aspirin to prevent CVD in those at high risk

  • intensive counseling on weight management for those who are obese
  • advising children and adolescents to avoid tobacco, and using brief interventions for tobacco cessation for smokers.

The recent Task Force recommendation on the use of vitamins, minerals, and multivitamins2 states that, while many adults take vitamin and mineral supplements in the belief that they prevent both heart disease and cancer, there is no evidence to support that belief. And there is good evidence that both β-carotene and vitamin E do not prevent disease. For other vitamins and minerals, singly or in combination, there is insufficient evidence to recommend for or against their use.2

There is good evidence that both β-carotene and vitamin E do not prevent CVD or cancer.

The Community Preventive Services Task Force—a separate expert panel established by the US Department of Health and Human Services to complement the USPSTF—makes recommendations on population-level interventions and has a series of recommendations on ways to improve the population’s nutrition and physical activity.10 These community-based interventions, if widely implemented, would probably yield greater improvements in healthy eating and increased activity levels than resource-intense clinical interventions based on individual patients with low risk.

References

1. USPSTF. Behavioral counseling to promote a healthful diet and physical activity for cardiovascular disease prevention in adults. US Preventive Services Task Force Web site. Available at: http://www.uspreventiveservicestaskforce.org/uspstf/uspsphys.htm. Accessed May 21, 2014.

2. USPSTF. Vitamin, mineral, and multivitamin supplements for the primary prevention of cardiovascular disease and cancer. US Preventive Services Task Force Web site. Available at: http://www.uspreventiveservicestaskforce.org/uspstf14/vitasupp/vitasuppfinalrs.htm. Accessed May 21, 2014.

3. USPSTF. Behavioral counseling to promote a healthy diet and physical activity for cardiovascular disease prevention in adults with known risk factors: US Preventive Services Task Force Recommendation Statement (Draft). US Preventive Services Task Force Web site. Available at: http://www.uspreventiveservicestaskforce.org/uspstf13/cvdhighrisk/cvdhighriskdraftrec.htm. Accessed July 22, 2014.

4. Centers for Disease Control and Prevention. Hoyert DL, Xu J. Deaths: preliminary data for 2011. Natl Vital Stat Report. 2012;61:1-51.

5. Eckel RH, Jakicic JM, Ard, JD, et al. 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. Circulation. 2013 Nov 12. [Epub ahead of print].


6. Stone NJ, Robinson JG, Lichtenstein AH, et al; 2013 ACC/AHA Cholesterol Guideline Panel. Treatment of blood cholesterol to reduce atherosclerotic cardiovascular disease risk in adults: synopsis of the 2013 American College of Cardiology/American Heart Association cholesterol guideline. Ann Intern Med. 2014;160:339-343.

7. USPSTF. Screening for and management of obesity in adults. US Preventive Services Task Force Web site. Available at: http://www.uspreventiveservicestaskforce.org/uspstf/uspsobes.htm. Accessed May 21, 2014.

8. Knowler WC, Barrett-Connor E, Fowler SE, et al; Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346:393-403.

9. Elmer PJ, Obarzanek E, Vollmer WM, et al; PREMIER Collaborative Research Group. Effects of comprehensive lifestyle modification on diet, weight, physical fitness, and blood pressure control: 18-month results of a randomized trial. Ann Intern Med. 2006;144:485-495.

10. USPSTF. The Guide to Community Preventive Services. Community Preventive Services Task Force Web site. Available at: http://www.thecommunityguide.org/index.html. Accessed May 21, 2014.

References

1. USPSTF. Behavioral counseling to promote a healthful diet and physical activity for cardiovascular disease prevention in adults. US Preventive Services Task Force Web site. Available at: http://www.uspreventiveservicestaskforce.org/uspstf/uspsphys.htm. Accessed May 21, 2014.

2. USPSTF. Vitamin, mineral, and multivitamin supplements for the primary prevention of cardiovascular disease and cancer. US Preventive Services Task Force Web site. Available at: http://www.uspreventiveservicestaskforce.org/uspstf14/vitasupp/vitasuppfinalrs.htm. Accessed May 21, 2014.

3. USPSTF. Behavioral counseling to promote a healthy diet and physical activity for cardiovascular disease prevention in adults with known risk factors: US Preventive Services Task Force Recommendation Statement (Draft). US Preventive Services Task Force Web site. Available at: http://www.uspreventiveservicestaskforce.org/uspstf13/cvdhighrisk/cvdhighriskdraftrec.htm. Accessed July 22, 2014.

4. Centers for Disease Control and Prevention. Hoyert DL, Xu J. Deaths: preliminary data for 2011. Natl Vital Stat Report. 2012;61:1-51.

5. Eckel RH, Jakicic JM, Ard, JD, et al. 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. Circulation. 2013 Nov 12. [Epub ahead of print].


6. Stone NJ, Robinson JG, Lichtenstein AH, et al; 2013 ACC/AHA Cholesterol Guideline Panel. Treatment of blood cholesterol to reduce atherosclerotic cardiovascular disease risk in adults: synopsis of the 2013 American College of Cardiology/American Heart Association cholesterol guideline. Ann Intern Med. 2014;160:339-343.

7. USPSTF. Screening for and management of obesity in adults. US Preventive Services Task Force Web site. Available at: http://www.uspreventiveservicestaskforce.org/uspstf/uspsobes.htm. Accessed May 21, 2014.

8. Knowler WC, Barrett-Connor E, Fowler SE, et al; Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346:393-403.

9. Elmer PJ, Obarzanek E, Vollmer WM, et al; PREMIER Collaborative Research Group. Effects of comprehensive lifestyle modification on diet, weight, physical fitness, and blood pressure control: 18-month results of a randomized trial. Ann Intern Med. 2006;144:485-495.

10. USPSTF. The Guide to Community Preventive Services. Community Preventive Services Task Force Web site. Available at: http://www.thecommunityguide.org/index.html. Accessed May 21, 2014.

Issue
The Journal of Family Practice - 63(8)
Issue
The Journal of Family Practice - 63(8)
Page Number
458-460
Page Number
458-460
Publications
Publications
Topics
Article Type
Display Headline
Diet, exercise, and CVD: When counseling makes the most sense
Display Headline
Diet, exercise, and CVD: When counseling makes the most sense
Legacy Keywords
Doug Campos-Outcalt; MD; MPA; diet; exercise; CVD; cardiovascular disease; counseling; cardiovascular; nutrition
Legacy Keywords
Doug Campos-Outcalt; MD; MPA; diet; exercise; CVD; cardiovascular disease; counseling; cardiovascular; nutrition
Sections
Article Source

PURLs Copyright

Inside the Article

Article PDF Media

Strategies to help reduce hospital readmissions

Article Type
Changed
Display Headline
Strategies to help reduce hospital readmissions

 

PRACTICE RECOMMENDATIONS

› Use risk stratification methods such as the Probability of Repeated Admission (Pra) or the LACE index to identify patients at high risk for readmission. B
› Take steps to ensure that follow-up appointments are made within the first one to 2 weeks of discharge, depending on the patient’s risk of readmission. C
› Reconcile preadmission and postdischarge medications to identify discrepancies and possible interactions. B

Strength of recommendation (SOR)

A Good-quality patient-oriented evidence
B Inconsistent or limited-quality patient-oriented evidence
C Consensus, usual practice, opinion, disease-oriented evidence, case series

CASE › Charles T, age 74, has a 3-year history of myocardial infarction (MI) and congestive heart failure (CHF) and a 10-year his-tory of type 2 diabetes with retinopathy. You have cared for him in the outpatient setting for 8 years. You are notified that he is in the emergency department (ED) and being admitted to the hospital, again. This is his third ED visit in the past 3 months; he was hospitalized for 6 days during his last admission 3 weeks ago.

What should you do with this information? How can you best communicate with the admitting team?

Hospital readmissions are widespread, costly, and often avoidable. Nearly 20% of Medicare beneficiaries discharged from hospitals are rehospitalized within 
30 days, and 34% are rehospitalized within 90 days.1 For patients with conditions like CHF, the rate of readmission within 30 days approaches 25%.2 The estimated cost to Medicare for unplanned rehospitalizations in 2004 was $17.4 billion.1 The Centers for Medicare and Medicaid Services penalizes hospitals for high rates of readmission within 30 days of discharge for patients with CHF, MI, and pneumonia.

Listen to Dr. Geoffrey Mills' audiocast, Learn how to get reimbursed for postdischarge care“Avoidable” hospitalizations are those that may be prevented by effective outpatient management and improved care coordination. Although efforts to reduce readmissions have focused on improving the discharge process, family physicians (FPs) can play a central role in reducing readmissions. This article describes key approaches that FPs can take to address this important issue. Because patients ages ≥65 years consistently have the highest rate of hospital readmissions,1 we will focus on this population.

Multiple complex factors are
 associated with hospital readmissions

Characteristics of the patient, physician, and health care setting contribute to potentially avoidable readmissions (TABLE 1).3,4

Medical conditions and comorbidities associated with high rates of rehospitalization include CHF, acute MI, pneumonia, diabetes, and chronic obstructive pulmonary disease. However, a recent study found that a diverse range of conditions, frequently differing from the index cause of hospitalization, were responsible for 30-day readmissions of Medicare patients.5

Use a risk stratification method that captures the issues most likely to cause readmissions in your patient population, or consider using a variety of methods.Identifying those at high risk:
 Why and how


Determining which patients are at highest risk for readmission enables health care teams to match the intensity of interventions to the individual’s likelihood of readmission. However, current readmission risk prediction models remain a work in progress6 and few models have been tested in the outpatient setting. Despite numerous limitations, it’s still important to focus resources more efficiently. Thus, we recommend using risk stratification tools to identify patients at high risk for readmission.

Many risk stratification methods use data from electronic medical records (EMRs) and administrative databases or self-reported data from patients.7 Risk prediction tools that are relatively simple and easy to administer or generate through EMRs—such as the Probability of Repeated Admission (Pra),8 the LACE (Length of stay, acuity of the admission, comorbidities, ED visits in the previous 6 months) index,9 or the Community Assessment Risk Screen (CARS)10—may be best for use in the primary care setting. These tools generally identify key risk factors, such as prior health care utilization, presence of specific conditions such as heart disease or cognitive impairment, self-reported health status, absence of a caregiver, and/or need for assistance with daily routines.

Many of these tools have been used to identify high-risk older adults and may not be appropriate for patients who are likely to be readmitted for different reasons, such as mental illness, substance abuse, or chronic pain. Therefore, it is important to use a risk stratification method that captures the issues most likely to cause readmissions in your patient population, or to consider using a variety of methods.

The American Academy of Family Physicians (AAFP) offers resources to help FPs design methods for determining a patient’s health risk status and linking higher levels of risk to increasing care management at http://www.aafp.org/practice-management/pcmh/initiatives/cpci/rscm.html.

CASE › Mr. T has been admitted to the hospital 3 times in the past 3 months, so you use the lace index to evaluate his risk. You determine that Mr. T’s score is 15, which means his expected risk of death or unplanned readmission is 26.6% (TABLE 2).8,11 What are your next steps?

 

 

Foster communication between
 the hospital and outpatient office

Patients are particularly vulnerable during the transition from hospital to home. Delayed or inaccurate information adversely affects continuity of care, patient safety and satisfaction, and efficient use of resources.12 Discharge summaries are the main method of communication between providers, but their content, timeliness, availability, and quality frequently are lacking.13 Discharge summaries are available at only 12% to 34% of first postdischarge visits, and these summaries often lack important information such as diagnostic test results (33%-63%) or discharge medications (2%-40%).12 Although researchers have not consistently found that transferring a discharge summary to an outpatient physician reduces readmission rates, it is likely that direct communication can improve the handoff process independent of its effects on readmissions.12,14

Timely follow-up appointments
 are essential


Many factors influence the need for rapid follow-up, including disease severity, management complexity, ability of the patient to provide sufficient self-care, and adequacy of social supports.15,16 Studies have found that discharged patients who receive timely outpatient follow-up are less likely to be readmitted.1,17 While the optimal time interval between discharge and the first follow-up appointment is unknown, some literature supports follow-up within 4 weeks.15,18 However, because readmissions often cluster in the first several days or week following discharge,18 follow-up within the first 2 weeks (and within the first week for higher-risk patients) may be appropriate.19 Ideally, follow-up appointments should be scheduled before the patient is discharged. Patients who schedule a follow-up appointment before they are discharged are more likely to make their follow-up visit than those who are asked to call after discharge and schedule their own appointment.12

Set up a follow-up appointment within one or
 2 weeks of discharge, depending upon the patient’s risk of readmission.Employ outpatient 
follow-up alternatives

Follow-up telephone calls to patients after discharge help patients understand and adhere to discharge instructions and troubleshoot problems. Clinicians who use scripted telephone calls can evaluate symptoms related to the index hospitalization, provide patient education, schedule relevant appointments or testing, and, most importantly, initiate medication reconciliation, which is described at right.20 The FIGURE includes the script we use at our practice.

Home visits may be appropriate for certain patients, including the frail elderly. Home visits allow clinicians to evaluate the patient’s environmental safety, social sup port, and medication adherence.12 Preventive home visits generally have not been found to reduce hospital readmissions, but do enhance patient satisfaction with care.21

Bundled interventions, such as alternating home visits and follow-up telephone calls, may be more effective than individual interventions in reducing readmission.22

Reconciling medications may have far-reaching benefits


Medication discrepancies are observed in up to 70% of all patients at admission or discharge and are associated with adverse drug events (ADEs).23 To prevent ADEs and possibly readmission, take the following steps to reconcile a patient’s medications23:

Obtain a complete list of current medications. Information on all of the patient’s prescription and nonprescription medications should be collected from the patient/caregiver, the discharge summary, prescription bottles, home visits, and pharmacies.12,24

Reconcile preadmission and postdischarge medications. Clarify any discrepancies, review all medications for safety and appropriateness, and, when appropriate, resume any held medications and/or discontinue unnecessary ones.

Research shows that patients who received a phone call from a pharmacist within 3 to 7 days of discharge had lower readmission rates.Enlist pharmacy support. Pharmacists are uniquely positioned to review indications as well as potential duplication and interactions of a patient’s medications. Inpatient studies have demonstrated that partnering with pharmacists results in fewer ADEs.12,25 One study showed that patients at high risk for readmission who received a phone call from a pharmacist 3 to 7 days after discharge had lower readmission rates.26 The pharmacist reconciled the patients’ medications and ensured that patients had a clear understanding of each medication, its common safety concerns, and how often they were supposed to take it.26

Make medication adherence
 as easy as possible


As many as half of all patients don’t take their medications as prescribed.27 There is limited data on health outcomes associated with medication nonadherence, and existing data frequently are contradictory—some studies have found that as many as 11% of hospital admissions are attributed to nonadherence, while others show no association.28

A patient who understands the purpose of a recommendation—especially when directly linked to a patient-derived goal—may be more likely to adhere to a plan of care.Factors that affect adherence include psychiatric or cognitive impairment, limited insight into disease process or lack of belief in benefit of treatment, medication cost or adverse effect profile, poor provider-patient relationship, limited access to care or medication, or complexity of treatment.29 To promote medication adherence, consider the following educational and behavioral strategies30:

 

 

Identify patients at risk for nonadherence. This includes those with complex regimens and/or uncontrolled disease states or symptoms.

Increase patient communication and counseling. Patient education, particularly on the importance of adherence, is one of the few solo interventions that can improve compliance.31 Involving caregivers and using both verbal and written materials provides additional benefit.31,32

Simplify dosing schedules. Simple, convenient medication regimens may im- prove adherence. For example, adjusting dosing from 3 times a day to once a day can increase adherence from 59% to 83%.33 Aids such as pillboxes to organize medications may be of benefit.29,32

Ensure consistent follow-up. Patients who miss appointments are more likely to be nonadherent. They may benefit from easy access, help with scheduling, and frequent visits.32

Be mindful of patients’ out-of-pocket expenses. Reducing copayments improves adherence rates.30

Minimize polypharmacy. Polypharmacy has been independently associated with nonadherence and increased risk for ADEs.34

Identify patients who have limited health literacy. Limited health literacy may be linked to increased medication errors and nonadherence.12,35 Patients with low health literacy may be unable to identify medications recorded in their medical record. TABLE W336-41 outlines strategies for identifying patients with low health literacy and improving communication with them.

CASE By speaking with hospital staff before Mr. T is discharged, you are able to confirm that he has scheduled a follow-up visit with you for one week after discharge, and that a discharge summary will be available for him to bring to that visit. Mr. T brings his discharge summary with him to your office, and you reconcile his medication list. Because he is your last patient of the day, you have some time to sit with him and his wife to explore his goals of care.

Improve care—and possibly reduce readmissions—through goal setting

Goal setting is an important element of postdischarge follow-up, particularly for elderly patients and those with progressive or end-stage diseases. Goal setting can improve patient care by linking care plans with desired outcomes and keeping diagnostic and therapeutic interventions relevant to the patient.42 A patient who understands the purpose of a recommendation—especially when directly linked to a patient-derived goal—may be more likely to adhere to the plan of care.

Asking patients to articulate their goals of care using “Ask-Tell-Ask” framework described in TABLE W336-41 will allow you to deliver the prognosis, reinforce treatment options to achieve patient-specific goals, empower patients to assert their preferences, and develop a follow-up plan to see if treatment is successful.

Empowering patients

Consider using both verbal and written approaches when educating patients about self-care behaviors such as monitoring symptoms and adhering to dietary/behavior restrictions and medication instructions. One study showed that a brief one-on-one patient education session decreased readmissions in patients with heart failure,43 although another study found that patient education alone yielded a nonsignificant decrease.44

Providing caregivers with education and support is a critical and perhaps overlooked opportunity to reduce readmissions.45 Involving key family members in discharge planning, preparation, follow-up, and ongoing management is essential in caring for patients with functional deficits and/or complex care needs. Educating caregivers can help them feel more prepared and effective in their roles.

Establish an “action plan.” For patients with chronic, periodically symptomatic diseases such as asthma and heart failure, action planning can be useful. Action plans should include information that reinforces patients’ daily self-care behaviors and instructions for what to do if symptoms get worse. Action planning also might include simple if-then plans (“if x happens, then I will do y”), which can help with problem solving for common scenarios. Action plans have been shown to reduce admissions for children with asthma46 and adults with heart failure when coupled with home monitoring or telephone support from a registered nurse.16,47

Generate an individualized care plan for each patient, taking into account your patient’s health literacy, goals of care, and level of social support. This care plan may include educational and behavioral interventions, action planning, and follow-up plans. Most successful approaches to reducing readmissions have included both system-level and patient-level interventions that use an interdisciplinary team of providers.48

Make the most of follow-up visits. The traditional 15-minute FP visit can make it challenging to provide the level of care necessary for recently discharged patients. Multiple models of team-based care have been proposed to improve this situation, including using the “teamlet” model, which may include a clinician and one or 2 health coaches.49 During each visit, the health coaches—often medical assistants trained in chronic disease self-management skills—see patients before and after the physician. They also contact patients be- tween visits to facilitate action planning and to promote self-management.

 

 

Palliative care programs:
 A resource for FPs


Action plans should include information that reinforces patients' daily self-care behaviors and instructions for what to do if symptoms get worse.The growth of palliative care programs in US hospitals has helped increase the emphasis on establishing goals of care. Inpatient-based palliative care consultation programs work with patients and families to establish goals. However, after discharge, many of these goals and plans begin to unravel due to gaps in the current health care model, including lack of follow-up and support.50 Outpatient palliative care programs have begun to address these gaps in care.50 Comprehensive palliative care programs are quickly becoming an important resource for FPs to help address transitional care issues.

CASE › When you ask Mr. and Mrs. T about his goals for treatment, they say are getting tired of the “back and forth” to the hospital. After discussing his lengthy history of worsening CHF and diabetes, you raise the idea of palliative care, including hospice, with the couple. They acknowledge that they have had family members get hospice care, and they are open to it—just not yet. In a "teamlet" model, health coaches meet with patients before and after the physician, and contact patients between visits.The 3 of you craft an “if-then” plan of care to use at home. You schedule a 2-week follow-up visit and remind Mr. T and his wife of your office’s 24-hour on-call service.

CORRESPONDENCE
Danielle Snyderman, MD, Department of Family and Community Medicine, Jefferson University, 1015 Walnut Street, Suite 401, Philadelphia, Pa 19107; [email protected]

References

 

1. Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med. 2009;360:1418-1428

2. O’Connor CM, Miller AB, Blair JE, et al; Efficacy of Vasopressin Antagonism in heart Failure Outcome Study with Tolvaptan (EVEREST) investigators. Causes of death and rehospitalization in patients hospitalized with worsening heart failure and reduce left ventricular ejection fraction; results from EVEREST program. Am Heart J. 2010;159:841-849.e1.

3. Garrison GM, Mansukhani MP, Bohn B. Predictors of thirty-day readmission among hospitalized family medicine patients. J Am Board Fam Med. 2013;26:71-77.


4. Boult C, Dowd B, McCaffrey D, et al. Screening elders for risk of hospital admission. J Am Geriatr Soc. 1993;41:811-817.

5. Dharmarajan K, Hsieh AF, Lin Z, et al. Diagnoses and timing of 30-day readmissions after hospitalization for heart failure, acute myocardial infarction, or pneumonia. JAMA. 2013;309:355-363.

6. Kansagara D, Englander H, Salanitro A, et al. Risk prediction models for hospital readmission: a systematic review. JAMA. 2011;306:1688-1698.

7. Haas LR, Takahashi PY, Shah ND, et al. Risk-stratification methods for identifying patients for care coordination. Am J Manag Care. 2013;19:725-732.

8. Wallace E, Hinchey T, Dimitrov BD, et al. A systematic review of the probability of repeated admission score in community-dwelling adults. J Am Geriatr Soc. 2013;61:357-364.

9. Cotter PE, Bhalla VK, Wallis SJ, et al. Predicting readmissions: poor performance of the LACE index in an older UK population. Age Ageing. 2012;41:784-789.

10. Shelton P, Sager MA, Schraeder C. The community assessment risk screen (CARS): identifying elderly persons at risk for hospitalization or emergency department visit. Am J Manag Care. 2000;6:925-933.

11. Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chron Dis. 1987;40:373-383.

12. Kripalani S, Jackson AT, Schnipper JL, et al. Promoting effective transitions of care at hospital discharge: a review of key issues for hospitalists. J Hosp Med. 2007;2:314-323.

13. Kim CS, Flanders SA. In the clinic. Transitions of care. Ann Intern Med. 2013;158(5 pt 1):ITC3-1.

14. Hansen LO, Strater A, Smith L, et al. Hospital discharge documentation and risk of rehospitalisation. BMJ Qual Saf. 2011;20:773-778.

15. Vaduganathan M, Bonow RO, Gheorghiade M. Thirty-day readmissions: the clock is ticking. JAMA. 2013;309:345-346.

16. Hansen LO, Young RS, Hinami K, et al. Interventions to reduce 30-day rehospitalization: a systematic review. Ann Intern Med. 2011;155:520-528.

17. Misky GJ, Wald HL, Coleman EA. Post-hospitalization transitions: Examining the effects of timing of primary care provider follow-up. J Hosp Med. 2010;5:392-397.

18. van Walraven C, Jennings A, Taljaard M, et al. Incidence of potentially avoidable urgent readmissions and their relation to all-cause urgent readmissions. CMAJ. 2011;183:E1067-E1072.

19. Tang, N. A primary care physician’s ideal transitions of care—where’s the evidence? J Hosp Med. 2013;8:472-477.

20. Crocker JB, Crocker JT, Greenwald JL. Telephone follow-up as a primary care intervention for postdischarge outcomes improvement: a systematic review. Am J Med. 2012;125:915-921.

21. Wong FK, Chow S, Chung L, et al. Can home visits help reduce hospital readmissions? Randomized controlled trial. J Adv Nurs. 2008;62:585-595.

22. Wong FK, Chow SK, Chan TM, et al. Comparison of effects between home visits with telephone calls and telephone calls only for transitional discharge support: a randomised controlled trial. Age Ageing. 2014;43:91-97.

23. Mueller SK, Sponsler KC, Kripalani S, et al. Hospital-based medication reconciliation practices: a systematic review. Arch Intern Med. 2012;172:1057-1069.

24. Glintborg B, Andersen SE, Dalhoff K. Insufficient communication about medication use at the interface between hospital and primary care. Qual Saf Health Care. 2007;16:34-39.

25. Schnipper JL, Kirwin JL, Cotugno MC, et al. Role of pharmacist counseling in preventing adverse drug events after hospitalization. Arch Intern Med. 2006;166:565-571.

26. Kilcup M, Schultz D, Carlson J, et al. Postdischarge pharmacist medication reconciliation: impact on readmission rates and financial savings. J Am Pharm Assoc (2003). 2013;53:78-84.

27. Vermeire E, Hearnshaw H, Van Royen P, et al. Patient adherence to treatment: three decades of research. A comprehensive review. J Clin Pharm Ther. 2001;26:331-342.

28. Vik SA, Maxwell CJ, Hogan DB. Measurement, correlates, and health outcomes of medication adherence among seniors. Ann Pharmacother. 2004;38:303-312.


29. Osterberg L, Blaschke T. Adherence to medication. N Engl J Med. 2005;353:487-497.

30. Viswanathan M, Golin CE, Jones CD, et al. Interventions to improve adherence to self-administered medications for chronic diseases in the United States: a systematic review. Ann Intern Med. 2012;157:785-795.

31. McDonald HP, Garg AX, Haynes RB. Interventions to enhance patient adherence to medication prescriptions: scientific review. JAMA. 2002;288:2868-2879.

32. Kripalani S, Yao X, Haynes RB. Interventions to enhance medication adherence in chronic medical conditions: a systematic review. Arch Intern Med. 2007;167:540-550.

33. Eisen SA, Miller DK, Woodward RS, et al. The effect of prescribed daily dose frequency on patient medication compliance. Arch Intern Med. 1990;150:1881-1884.

34. Field TS, Gurwitz JH, Avorn J, et al. Risk factors for adverse drug events among nursing home residents. Arch Intern Med. 2001;161:1629-1634.

35. Persell SD, Osborn CY, Richard R, et al. Limited health literacy is a barrier to medication reconciliation in ambulatory care. J Gen Intern Med. 2007;22:1523-1526.

36. Weiss BD. Health Literacy and Patient Safety: Help Patients Understand. Manual for Clinicians. Chicago, IL: American Medical Association Foundation; 2007.

37. Chew LD, Bradley KA, Bokyo EJ. Brief questions to identify patients with inadequate health literacy. Fam Med. 2004;36:588-594.

38. Wallace LS, Rogers ES, Roskos SE, et al. Brief report: screening items to identify patients with limited health literacy skills. J Gen Intern Med. 2006;21:874-877.

39. Doak CC, Doak LG, Root JH. Teaching Patients with Low Literacy Skills. 2nd ed. Philadelphia, PA: JB Lippincott Company; 1996.

40. Back AL, Arnold RM, Baile WF, et al. Approaching difficult communication tasks in oncology. CA Cancer J Clin. 2005;55: 164-177.

41. Doak LG, Doak CC, eds. Pfizer Principles for Clear Health Communication: A Handbook for Creating Patient Education Materials that Enhance Understanding and Promote Health Outcomes. 2nd ed. New York, NY: Pfizer; 2004.

42. Bradley EH, Bogardus ST Jr, Tinetti M, et al. Goal-setting in clinical medicine. Soc Sci Med. 1999;49:267-278.

43. Koelling TM, Johnson ML, Cody RJ, et al. Discharge education improves clinical outcomes in patients with chronic heart failure. Circulation. 2005;111:179-185.

44. Krumholz HM, Amatruda J, Smith GL, et al. Randomized trial of an education and support intervention to prevent readmission of patients with heart failure. J Am Coll Cardiol. 2002;39:83-89.

45. Burke RE, Coleman EA. Interventions to decrease hospital readmissions: keys for cost-effectiveness. JAMA Intern Med. 2013;173:695-698.

46. Kessler KR. Relationship between the use of asthma action plans and asthma exacerbations in children with asthma: A systematic review. J Asthma Allergy Educators. 2011;2:11-21.

47. Maric B, Kaan A, Ignaszewski A, et al. A systematic review of telemonitoring technologies in heart failure. Eur J Heart Fail. 2009;11:506-517.

48. Boutwell A, Hwu S. Effective Interventions to Reduce Rehospitalizations: A Survey of the Published Evidence. Cambridge, MA: Institute for Healthcare Improvement; 2009.

49. Bodenheimer T, Laing BY. The teamlet model of primary care. Ann Fam Med. 2007;5:457-461.

50. Meier D, Beresford L. Outpatient clinics are a new frontier for palliative care. J Pall Med. 2008;11:823-828.

 

 

Article PDF
Author and Disclosure Information

 

Danielle Snyderman, MD
Brooke Salzman, MD
Geoffrey Mills, MD, PhD
Lauren Hersh, MD
Susan Parks, MD

Department of Family and Community Medicine, Jefferson University, Philadelphia, Pa
[email protected]

The authors reported no potential conflict of interest relevant to this article.

Issue
The Journal of Family Practice - 63(8)
Publications
Topics
Page Number
430-438,438a
Legacy Keywords
hospital readmissions; risk stratification; adverse drug events; Danielle Snyderman; MD; Brooke Salzman; MD; Geoffrey Mills; MD; PhD; Lauren Hersh; MD; Susan Parks; MD; practice management
Sections
Author and Disclosure Information

 

Danielle Snyderman, MD
Brooke Salzman, MD
Geoffrey Mills, MD, PhD
Lauren Hersh, MD
Susan Parks, MD

Department of Family and Community Medicine, Jefferson University, Philadelphia, Pa
[email protected]

The authors reported no potential conflict of interest relevant to this article.

Author and Disclosure Information

 

Danielle Snyderman, MD
Brooke Salzman, MD
Geoffrey Mills, MD, PhD
Lauren Hersh, MD
Susan Parks, MD

Department of Family and Community Medicine, Jefferson University, Philadelphia, Pa
[email protected]

The authors reported no potential conflict of interest relevant to this article.

Article PDF
Article PDF
Related Articles

 

PRACTICE RECOMMENDATIONS

› Use risk stratification methods such as the Probability of Repeated Admission (Pra) or the LACE index to identify patients at high risk for readmission. B
› Take steps to ensure that follow-up appointments are made within the first one to 2 weeks of discharge, depending on the patient’s risk of readmission. C
› Reconcile preadmission and postdischarge medications to identify discrepancies and possible interactions. B

Strength of recommendation (SOR)

A Good-quality patient-oriented evidence
B Inconsistent or limited-quality patient-oriented evidence
C Consensus, usual practice, opinion, disease-oriented evidence, case series

CASE › Charles T, age 74, has a 3-year history of myocardial infarction (MI) and congestive heart failure (CHF) and a 10-year his-tory of type 2 diabetes with retinopathy. You have cared for him in the outpatient setting for 8 years. You are notified that he is in the emergency department (ED) and being admitted to the hospital, again. This is his third ED visit in the past 3 months; he was hospitalized for 6 days during his last admission 3 weeks ago.

What should you do with this information? How can you best communicate with the admitting team?

Hospital readmissions are widespread, costly, and often avoidable. Nearly 20% of Medicare beneficiaries discharged from hospitals are rehospitalized within 
30 days, and 34% are rehospitalized within 90 days.1 For patients with conditions like CHF, the rate of readmission within 30 days approaches 25%.2 The estimated cost to Medicare for unplanned rehospitalizations in 2004 was $17.4 billion.1 The Centers for Medicare and Medicaid Services penalizes hospitals for high rates of readmission within 30 days of discharge for patients with CHF, MI, and pneumonia.

Listen to Dr. Geoffrey Mills' audiocast, Learn how to get reimbursed for postdischarge care“Avoidable” hospitalizations are those that may be prevented by effective outpatient management and improved care coordination. Although efforts to reduce readmissions have focused on improving the discharge process, family physicians (FPs) can play a central role in reducing readmissions. This article describes key approaches that FPs can take to address this important issue. Because patients ages ≥65 years consistently have the highest rate of hospital readmissions,1 we will focus on this population.

Multiple complex factors are
 associated with hospital readmissions

Characteristics of the patient, physician, and health care setting contribute to potentially avoidable readmissions (TABLE 1).3,4

Medical conditions and comorbidities associated with high rates of rehospitalization include CHF, acute MI, pneumonia, diabetes, and chronic obstructive pulmonary disease. However, a recent study found that a diverse range of conditions, frequently differing from the index cause of hospitalization, were responsible for 30-day readmissions of Medicare patients.5

Use a risk stratification method that captures the issues most likely to cause readmissions in your patient population, or consider using a variety of methods.Identifying those at high risk:
 Why and how


Determining which patients are at highest risk for readmission enables health care teams to match the intensity of interventions to the individual’s likelihood of readmission. However, current readmission risk prediction models remain a work in progress6 and few models have been tested in the outpatient setting. Despite numerous limitations, it’s still important to focus resources more efficiently. Thus, we recommend using risk stratification tools to identify patients at high risk for readmission.

Many risk stratification methods use data from electronic medical records (EMRs) and administrative databases or self-reported data from patients.7 Risk prediction tools that are relatively simple and easy to administer or generate through EMRs—such as the Probability of Repeated Admission (Pra),8 the LACE (Length of stay, acuity of the admission, comorbidities, ED visits in the previous 6 months) index,9 or the Community Assessment Risk Screen (CARS)10—may be best for use in the primary care setting. These tools generally identify key risk factors, such as prior health care utilization, presence of specific conditions such as heart disease or cognitive impairment, self-reported health status, absence of a caregiver, and/or need for assistance with daily routines.

Many of these tools have been used to identify high-risk older adults and may not be appropriate for patients who are likely to be readmitted for different reasons, such as mental illness, substance abuse, or chronic pain. Therefore, it is important to use a risk stratification method that captures the issues most likely to cause readmissions in your patient population, or to consider using a variety of methods.

The American Academy of Family Physicians (AAFP) offers resources to help FPs design methods for determining a patient’s health risk status and linking higher levels of risk to increasing care management at http://www.aafp.org/practice-management/pcmh/initiatives/cpci/rscm.html.

CASE › Mr. T has been admitted to the hospital 3 times in the past 3 months, so you use the lace index to evaluate his risk. You determine that Mr. T’s score is 15, which means his expected risk of death or unplanned readmission is 26.6% (TABLE 2).8,11 What are your next steps?

 

 

Foster communication between
 the hospital and outpatient office

Patients are particularly vulnerable during the transition from hospital to home. Delayed or inaccurate information adversely affects continuity of care, patient safety and satisfaction, and efficient use of resources.12 Discharge summaries are the main method of communication between providers, but their content, timeliness, availability, and quality frequently are lacking.13 Discharge summaries are available at only 12% to 34% of first postdischarge visits, and these summaries often lack important information such as diagnostic test results (33%-63%) or discharge medications (2%-40%).12 Although researchers have not consistently found that transferring a discharge summary to an outpatient physician reduces readmission rates, it is likely that direct communication can improve the handoff process independent of its effects on readmissions.12,14

Timely follow-up appointments
 are essential


Many factors influence the need for rapid follow-up, including disease severity, management complexity, ability of the patient to provide sufficient self-care, and adequacy of social supports.15,16 Studies have found that discharged patients who receive timely outpatient follow-up are less likely to be readmitted.1,17 While the optimal time interval between discharge and the first follow-up appointment is unknown, some literature supports follow-up within 4 weeks.15,18 However, because readmissions often cluster in the first several days or week following discharge,18 follow-up within the first 2 weeks (and within the first week for higher-risk patients) may be appropriate.19 Ideally, follow-up appointments should be scheduled before the patient is discharged. Patients who schedule a follow-up appointment before they are discharged are more likely to make their follow-up visit than those who are asked to call after discharge and schedule their own appointment.12

Set up a follow-up appointment within one or
 2 weeks of discharge, depending upon the patient’s risk of readmission.Employ outpatient 
follow-up alternatives

Follow-up telephone calls to patients after discharge help patients understand and adhere to discharge instructions and troubleshoot problems. Clinicians who use scripted telephone calls can evaluate symptoms related to the index hospitalization, provide patient education, schedule relevant appointments or testing, and, most importantly, initiate medication reconciliation, which is described at right.20 The FIGURE includes the script we use at our practice.

Home visits may be appropriate for certain patients, including the frail elderly. Home visits allow clinicians to evaluate the patient’s environmental safety, social sup port, and medication adherence.12 Preventive home visits generally have not been found to reduce hospital readmissions, but do enhance patient satisfaction with care.21

Bundled interventions, such as alternating home visits and follow-up telephone calls, may be more effective than individual interventions in reducing readmission.22

Reconciling medications may have far-reaching benefits


Medication discrepancies are observed in up to 70% of all patients at admission or discharge and are associated with adverse drug events (ADEs).23 To prevent ADEs and possibly readmission, take the following steps to reconcile a patient’s medications23:

Obtain a complete list of current medications. Information on all of the patient’s prescription and nonprescription medications should be collected from the patient/caregiver, the discharge summary, prescription bottles, home visits, and pharmacies.12,24

Reconcile preadmission and postdischarge medications. Clarify any discrepancies, review all medications for safety and appropriateness, and, when appropriate, resume any held medications and/or discontinue unnecessary ones.

Research shows that patients who received a phone call from a pharmacist within 3 to 7 days of discharge had lower readmission rates.Enlist pharmacy support. Pharmacists are uniquely positioned to review indications as well as potential duplication and interactions of a patient’s medications. Inpatient studies have demonstrated that partnering with pharmacists results in fewer ADEs.12,25 One study showed that patients at high risk for readmission who received a phone call from a pharmacist 3 to 7 days after discharge had lower readmission rates.26 The pharmacist reconciled the patients’ medications and ensured that patients had a clear understanding of each medication, its common safety concerns, and how often they were supposed to take it.26

Make medication adherence
 as easy as possible


As many as half of all patients don’t take their medications as prescribed.27 There is limited data on health outcomes associated with medication nonadherence, and existing data frequently are contradictory—some studies have found that as many as 11% of hospital admissions are attributed to nonadherence, while others show no association.28

A patient who understands the purpose of a recommendation—especially when directly linked to a patient-derived goal—may be more likely to adhere to a plan of care.Factors that affect adherence include psychiatric or cognitive impairment, limited insight into disease process or lack of belief in benefit of treatment, medication cost or adverse effect profile, poor provider-patient relationship, limited access to care or medication, or complexity of treatment.29 To promote medication adherence, consider the following educational and behavioral strategies30:

 

 

Identify patients at risk for nonadherence. This includes those with complex regimens and/or uncontrolled disease states or symptoms.

Increase patient communication and counseling. Patient education, particularly on the importance of adherence, is one of the few solo interventions that can improve compliance.31 Involving caregivers and using both verbal and written materials provides additional benefit.31,32

Simplify dosing schedules. Simple, convenient medication regimens may im- prove adherence. For example, adjusting dosing from 3 times a day to once a day can increase adherence from 59% to 83%.33 Aids such as pillboxes to organize medications may be of benefit.29,32

Ensure consistent follow-up. Patients who miss appointments are more likely to be nonadherent. They may benefit from easy access, help with scheduling, and frequent visits.32

Be mindful of patients’ out-of-pocket expenses. Reducing copayments improves adherence rates.30

Minimize polypharmacy. Polypharmacy has been independently associated with nonadherence and increased risk for ADEs.34

Identify patients who have limited health literacy. Limited health literacy may be linked to increased medication errors and nonadherence.12,35 Patients with low health literacy may be unable to identify medications recorded in their medical record. TABLE W336-41 outlines strategies for identifying patients with low health literacy and improving communication with them.

CASE By speaking with hospital staff before Mr. T is discharged, you are able to confirm that he has scheduled a follow-up visit with you for one week after discharge, and that a discharge summary will be available for him to bring to that visit. Mr. T brings his discharge summary with him to your office, and you reconcile his medication list. Because he is your last patient of the day, you have some time to sit with him and his wife to explore his goals of care.

Improve care—and possibly reduce readmissions—through goal setting

Goal setting is an important element of postdischarge follow-up, particularly for elderly patients and those with progressive or end-stage diseases. Goal setting can improve patient care by linking care plans with desired outcomes and keeping diagnostic and therapeutic interventions relevant to the patient.42 A patient who understands the purpose of a recommendation—especially when directly linked to a patient-derived goal—may be more likely to adhere to the plan of care.

Asking patients to articulate their goals of care using “Ask-Tell-Ask” framework described in TABLE W336-41 will allow you to deliver the prognosis, reinforce treatment options to achieve patient-specific goals, empower patients to assert their preferences, and develop a follow-up plan to see if treatment is successful.

Empowering patients

Consider using both verbal and written approaches when educating patients about self-care behaviors such as monitoring symptoms and adhering to dietary/behavior restrictions and medication instructions. One study showed that a brief one-on-one patient education session decreased readmissions in patients with heart failure,43 although another study found that patient education alone yielded a nonsignificant decrease.44

Providing caregivers with education and support is a critical and perhaps overlooked opportunity to reduce readmissions.45 Involving key family members in discharge planning, preparation, follow-up, and ongoing management is essential in caring for patients with functional deficits and/or complex care needs. Educating caregivers can help them feel more prepared and effective in their roles.

Establish an “action plan.” For patients with chronic, periodically symptomatic diseases such as asthma and heart failure, action planning can be useful. Action plans should include information that reinforces patients’ daily self-care behaviors and instructions for what to do if symptoms get worse. Action planning also might include simple if-then plans (“if x happens, then I will do y”), which can help with problem solving for common scenarios. Action plans have been shown to reduce admissions for children with asthma46 and adults with heart failure when coupled with home monitoring or telephone support from a registered nurse.16,47

Generate an individualized care plan for each patient, taking into account your patient’s health literacy, goals of care, and level of social support. This care plan may include educational and behavioral interventions, action planning, and follow-up plans. Most successful approaches to reducing readmissions have included both system-level and patient-level interventions that use an interdisciplinary team of providers.48

Make the most of follow-up visits. The traditional 15-minute FP visit can make it challenging to provide the level of care necessary for recently discharged patients. Multiple models of team-based care have been proposed to improve this situation, including using the “teamlet” model, which may include a clinician and one or 2 health coaches.49 During each visit, the health coaches—often medical assistants trained in chronic disease self-management skills—see patients before and after the physician. They also contact patients be- tween visits to facilitate action planning and to promote self-management.

 

 

Palliative care programs:
 A resource for FPs


Action plans should include information that reinforces patients' daily self-care behaviors and instructions for what to do if symptoms get worse.The growth of palliative care programs in US hospitals has helped increase the emphasis on establishing goals of care. Inpatient-based palliative care consultation programs work with patients and families to establish goals. However, after discharge, many of these goals and plans begin to unravel due to gaps in the current health care model, including lack of follow-up and support.50 Outpatient palliative care programs have begun to address these gaps in care.50 Comprehensive palliative care programs are quickly becoming an important resource for FPs to help address transitional care issues.

CASE › When you ask Mr. and Mrs. T about his goals for treatment, they say are getting tired of the “back and forth” to the hospital. After discussing his lengthy history of worsening CHF and diabetes, you raise the idea of palliative care, including hospice, with the couple. They acknowledge that they have had family members get hospice care, and they are open to it—just not yet. In a "teamlet" model, health coaches meet with patients before and after the physician, and contact patients between visits.The 3 of you craft an “if-then” plan of care to use at home. You schedule a 2-week follow-up visit and remind Mr. T and his wife of your office’s 24-hour on-call service.

CORRESPONDENCE
Danielle Snyderman, MD, Department of Family and Community Medicine, Jefferson University, 1015 Walnut Street, Suite 401, Philadelphia, Pa 19107; [email protected]

 

PRACTICE RECOMMENDATIONS

› Use risk stratification methods such as the Probability of Repeated Admission (Pra) or the LACE index to identify patients at high risk for readmission. B
› Take steps to ensure that follow-up appointments are made within the first one to 2 weeks of discharge, depending on the patient’s risk of readmission. C
› Reconcile preadmission and postdischarge medications to identify discrepancies and possible interactions. B

Strength of recommendation (SOR)

A Good-quality patient-oriented evidence
B Inconsistent or limited-quality patient-oriented evidence
C Consensus, usual practice, opinion, disease-oriented evidence, case series

CASE › Charles T, age 74, has a 3-year history of myocardial infarction (MI) and congestive heart failure (CHF) and a 10-year his-tory of type 2 diabetes with retinopathy. You have cared for him in the outpatient setting for 8 years. You are notified that he is in the emergency department (ED) and being admitted to the hospital, again. This is his third ED visit in the past 3 months; he was hospitalized for 6 days during his last admission 3 weeks ago.

What should you do with this information? How can you best communicate with the admitting team?

Hospital readmissions are widespread, costly, and often avoidable. Nearly 20% of Medicare beneficiaries discharged from hospitals are rehospitalized within 
30 days, and 34% are rehospitalized within 90 days.1 For patients with conditions like CHF, the rate of readmission within 30 days approaches 25%.2 The estimated cost to Medicare for unplanned rehospitalizations in 2004 was $17.4 billion.1 The Centers for Medicare and Medicaid Services penalizes hospitals for high rates of readmission within 30 days of discharge for patients with CHF, MI, and pneumonia.

Listen to Dr. Geoffrey Mills' audiocast, Learn how to get reimbursed for postdischarge care“Avoidable” hospitalizations are those that may be prevented by effective outpatient management and improved care coordination. Although efforts to reduce readmissions have focused on improving the discharge process, family physicians (FPs) can play a central role in reducing readmissions. This article describes key approaches that FPs can take to address this important issue. Because patients ages ≥65 years consistently have the highest rate of hospital readmissions,1 we will focus on this population.

Multiple complex factors are
 associated with hospital readmissions

Characteristics of the patient, physician, and health care setting contribute to potentially avoidable readmissions (TABLE 1).3,4

Medical conditions and comorbidities associated with high rates of rehospitalization include CHF, acute MI, pneumonia, diabetes, and chronic obstructive pulmonary disease. However, a recent study found that a diverse range of conditions, frequently differing from the index cause of hospitalization, were responsible for 30-day readmissions of Medicare patients.5

Use a risk stratification method that captures the issues most likely to cause readmissions in your patient population, or consider using a variety of methods.Identifying those at high risk:
 Why and how


Determining which patients are at highest risk for readmission enables health care teams to match the intensity of interventions to the individual’s likelihood of readmission. However, current readmission risk prediction models remain a work in progress6 and few models have been tested in the outpatient setting. Despite numerous limitations, it’s still important to focus resources more efficiently. Thus, we recommend using risk stratification tools to identify patients at high risk for readmission.

Many risk stratification methods use data from electronic medical records (EMRs) and administrative databases or self-reported data from patients.7 Risk prediction tools that are relatively simple and easy to administer or generate through EMRs—such as the Probability of Repeated Admission (Pra),8 the LACE (Length of stay, acuity of the admission, comorbidities, ED visits in the previous 6 months) index,9 or the Community Assessment Risk Screen (CARS)10—may be best for use in the primary care setting. These tools generally identify key risk factors, such as prior health care utilization, presence of specific conditions such as heart disease or cognitive impairment, self-reported health status, absence of a caregiver, and/or need for assistance with daily routines.

Many of these tools have been used to identify high-risk older adults and may not be appropriate for patients who are likely to be readmitted for different reasons, such as mental illness, substance abuse, or chronic pain. Therefore, it is important to use a risk stratification method that captures the issues most likely to cause readmissions in your patient population, or to consider using a variety of methods.

The American Academy of Family Physicians (AAFP) offers resources to help FPs design methods for determining a patient’s health risk status and linking higher levels of risk to increasing care management at http://www.aafp.org/practice-management/pcmh/initiatives/cpci/rscm.html.

CASE › Mr. T has been admitted to the hospital 3 times in the past 3 months, so you use the lace index to evaluate his risk. You determine that Mr. T’s score is 15, which means his expected risk of death or unplanned readmission is 26.6% (TABLE 2).8,11 What are your next steps?

 

 

Foster communication between
 the hospital and outpatient office

Patients are particularly vulnerable during the transition from hospital to home. Delayed or inaccurate information adversely affects continuity of care, patient safety and satisfaction, and efficient use of resources.12 Discharge summaries are the main method of communication between providers, but their content, timeliness, availability, and quality frequently are lacking.13 Discharge summaries are available at only 12% to 34% of first postdischarge visits, and these summaries often lack important information such as diagnostic test results (33%-63%) or discharge medications (2%-40%).12 Although researchers have not consistently found that transferring a discharge summary to an outpatient physician reduces readmission rates, it is likely that direct communication can improve the handoff process independent of its effects on readmissions.12,14

Timely follow-up appointments
 are essential


Many factors influence the need for rapid follow-up, including disease severity, management complexity, ability of the patient to provide sufficient self-care, and adequacy of social supports.15,16 Studies have found that discharged patients who receive timely outpatient follow-up are less likely to be readmitted.1,17 While the optimal time interval between discharge and the first follow-up appointment is unknown, some literature supports follow-up within 4 weeks.15,18 However, because readmissions often cluster in the first several days or week following discharge,18 follow-up within the first 2 weeks (and within the first week for higher-risk patients) may be appropriate.19 Ideally, follow-up appointments should be scheduled before the patient is discharged. Patients who schedule a follow-up appointment before they are discharged are more likely to make their follow-up visit than those who are asked to call after discharge and schedule their own appointment.12

Set up a follow-up appointment within one or
 2 weeks of discharge, depending upon the patient’s risk of readmission.Employ outpatient 
follow-up alternatives

Follow-up telephone calls to patients after discharge help patients understand and adhere to discharge instructions and troubleshoot problems. Clinicians who use scripted telephone calls can evaluate symptoms related to the index hospitalization, provide patient education, schedule relevant appointments or testing, and, most importantly, initiate medication reconciliation, which is described at right.20 The FIGURE includes the script we use at our practice.

Home visits may be appropriate for certain patients, including the frail elderly. Home visits allow clinicians to evaluate the patient’s environmental safety, social sup port, and medication adherence.12 Preventive home visits generally have not been found to reduce hospital readmissions, but do enhance patient satisfaction with care.21

Bundled interventions, such as alternating home visits and follow-up telephone calls, may be more effective than individual interventions in reducing readmission.22

Reconciling medications may have far-reaching benefits


Medication discrepancies are observed in up to 70% of all patients at admission or discharge and are associated with adverse drug events (ADEs).23 To prevent ADEs and possibly readmission, take the following steps to reconcile a patient’s medications23:

Obtain a complete list of current medications. Information on all of the patient’s prescription and nonprescription medications should be collected from the patient/caregiver, the discharge summary, prescription bottles, home visits, and pharmacies.12,24

Reconcile preadmission and postdischarge medications. Clarify any discrepancies, review all medications for safety and appropriateness, and, when appropriate, resume any held medications and/or discontinue unnecessary ones.

Research shows that patients who received a phone call from a pharmacist within 3 to 7 days of discharge had lower readmission rates.Enlist pharmacy support. Pharmacists are uniquely positioned to review indications as well as potential duplication and interactions of a patient’s medications. Inpatient studies have demonstrated that partnering with pharmacists results in fewer ADEs.12,25 One study showed that patients at high risk for readmission who received a phone call from a pharmacist 3 to 7 days after discharge had lower readmission rates.26 The pharmacist reconciled the patients’ medications and ensured that patients had a clear understanding of each medication, its common safety concerns, and how often they were supposed to take it.26

Make medication adherence
 as easy as possible


As many as half of all patients don’t take their medications as prescribed.27 There is limited data on health outcomes associated with medication nonadherence, and existing data frequently are contradictory—some studies have found that as many as 11% of hospital admissions are attributed to nonadherence, while others show no association.28

A patient who understands the purpose of a recommendation—especially when directly linked to a patient-derived goal—may be more likely to adhere to a plan of care.Factors that affect adherence include psychiatric or cognitive impairment, limited insight into disease process or lack of belief in benefit of treatment, medication cost or adverse effect profile, poor provider-patient relationship, limited access to care or medication, or complexity of treatment.29 To promote medication adherence, consider the following educational and behavioral strategies30:

 

 

Identify patients at risk for nonadherence. This includes those with complex regimens and/or uncontrolled disease states or symptoms.

Increase patient communication and counseling. Patient education, particularly on the importance of adherence, is one of the few solo interventions that can improve compliance.31 Involving caregivers and using both verbal and written materials provides additional benefit.31,32

Simplify dosing schedules. Simple, convenient medication regimens may im- prove adherence. For example, adjusting dosing from 3 times a day to once a day can increase adherence from 59% to 83%.33 Aids such as pillboxes to organize medications may be of benefit.29,32

Ensure consistent follow-up. Patients who miss appointments are more likely to be nonadherent. They may benefit from easy access, help with scheduling, and frequent visits.32

Be mindful of patients’ out-of-pocket expenses. Reducing copayments improves adherence rates.30

Minimize polypharmacy. Polypharmacy has been independently associated with nonadherence and increased risk for ADEs.34

Identify patients who have limited health literacy. Limited health literacy may be linked to increased medication errors and nonadherence.12,35 Patients with low health literacy may be unable to identify medications recorded in their medical record. TABLE W336-41 outlines strategies for identifying patients with low health literacy and improving communication with them.

CASE By speaking with hospital staff before Mr. T is discharged, you are able to confirm that he has scheduled a follow-up visit with you for one week after discharge, and that a discharge summary will be available for him to bring to that visit. Mr. T brings his discharge summary with him to your office, and you reconcile his medication list. Because he is your last patient of the day, you have some time to sit with him and his wife to explore his goals of care.

Improve care—and possibly reduce readmissions—through goal setting

Goal setting is an important element of postdischarge follow-up, particularly for elderly patients and those with progressive or end-stage diseases. Goal setting can improve patient care by linking care plans with desired outcomes and keeping diagnostic and therapeutic interventions relevant to the patient.42 A patient who understands the purpose of a recommendation—especially when directly linked to a patient-derived goal—may be more likely to adhere to the plan of care.

Asking patients to articulate their goals of care using “Ask-Tell-Ask” framework described in TABLE W336-41 will allow you to deliver the prognosis, reinforce treatment options to achieve patient-specific goals, empower patients to assert their preferences, and develop a follow-up plan to see if treatment is successful.

Empowering patients

Consider using both verbal and written approaches when educating patients about self-care behaviors such as monitoring symptoms and adhering to dietary/behavior restrictions and medication instructions. One study showed that a brief one-on-one patient education session decreased readmissions in patients with heart failure,43 although another study found that patient education alone yielded a nonsignificant decrease.44

Providing caregivers with education and support is a critical and perhaps overlooked opportunity to reduce readmissions.45 Involving key family members in discharge planning, preparation, follow-up, and ongoing management is essential in caring for patients with functional deficits and/or complex care needs. Educating caregivers can help them feel more prepared and effective in their roles.

Establish an “action plan.” For patients with chronic, periodically symptomatic diseases such as asthma and heart failure, action planning can be useful. Action plans should include information that reinforces patients’ daily self-care behaviors and instructions for what to do if symptoms get worse. Action planning also might include simple if-then plans (“if x happens, then I will do y”), which can help with problem solving for common scenarios. Action plans have been shown to reduce admissions for children with asthma46 and adults with heart failure when coupled with home monitoring or telephone support from a registered nurse.16,47

Generate an individualized care plan for each patient, taking into account your patient’s health literacy, goals of care, and level of social support. This care plan may include educational and behavioral interventions, action planning, and follow-up plans. Most successful approaches to reducing readmissions have included both system-level and patient-level interventions that use an interdisciplinary team of providers.48

Make the most of follow-up visits. The traditional 15-minute FP visit can make it challenging to provide the level of care necessary for recently discharged patients. Multiple models of team-based care have been proposed to improve this situation, including using the “teamlet” model, which may include a clinician and one or 2 health coaches.49 During each visit, the health coaches—often medical assistants trained in chronic disease self-management skills—see patients before and after the physician. They also contact patients be- tween visits to facilitate action planning and to promote self-management.

 

 

Palliative care programs:
 A resource for FPs


Action plans should include information that reinforces patients' daily self-care behaviors and instructions for what to do if symptoms get worse.The growth of palliative care programs in US hospitals has helped increase the emphasis on establishing goals of care. Inpatient-based palliative care consultation programs work with patients and families to establish goals. However, after discharge, many of these goals and plans begin to unravel due to gaps in the current health care model, including lack of follow-up and support.50 Outpatient palliative care programs have begun to address these gaps in care.50 Comprehensive palliative care programs are quickly becoming an important resource for FPs to help address transitional care issues.

CASE › When you ask Mr. and Mrs. T about his goals for treatment, they say are getting tired of the “back and forth” to the hospital. After discussing his lengthy history of worsening CHF and diabetes, you raise the idea of palliative care, including hospice, with the couple. They acknowledge that they have had family members get hospice care, and they are open to it—just not yet. In a "teamlet" model, health coaches meet with patients before and after the physician, and contact patients between visits.The 3 of you craft an “if-then” plan of care to use at home. You schedule a 2-week follow-up visit and remind Mr. T and his wife of your office’s 24-hour on-call service.

CORRESPONDENCE
Danielle Snyderman, MD, Department of Family and Community Medicine, Jefferson University, 1015 Walnut Street, Suite 401, Philadelphia, Pa 19107; [email protected]

References

 

1. Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med. 2009;360:1418-1428

2. O’Connor CM, Miller AB, Blair JE, et al; Efficacy of Vasopressin Antagonism in heart Failure Outcome Study with Tolvaptan (EVEREST) investigators. Causes of death and rehospitalization in patients hospitalized with worsening heart failure and reduce left ventricular ejection fraction; results from EVEREST program. Am Heart J. 2010;159:841-849.e1.

3. Garrison GM, Mansukhani MP, Bohn B. Predictors of thirty-day readmission among hospitalized family medicine patients. J Am Board Fam Med. 2013;26:71-77.


4. Boult C, Dowd B, McCaffrey D, et al. Screening elders for risk of hospital admission. J Am Geriatr Soc. 1993;41:811-817.

5. Dharmarajan K, Hsieh AF, Lin Z, et al. Diagnoses and timing of 30-day readmissions after hospitalization for heart failure, acute myocardial infarction, or pneumonia. JAMA. 2013;309:355-363.

6. Kansagara D, Englander H, Salanitro A, et al. Risk prediction models for hospital readmission: a systematic review. JAMA. 2011;306:1688-1698.

7. Haas LR, Takahashi PY, Shah ND, et al. Risk-stratification methods for identifying patients for care coordination. Am J Manag Care. 2013;19:725-732.

8. Wallace E, Hinchey T, Dimitrov BD, et al. A systematic review of the probability of repeated admission score in community-dwelling adults. J Am Geriatr Soc. 2013;61:357-364.

9. Cotter PE, Bhalla VK, Wallis SJ, et al. Predicting readmissions: poor performance of the LACE index in an older UK population. Age Ageing. 2012;41:784-789.

10. Shelton P, Sager MA, Schraeder C. The community assessment risk screen (CARS): identifying elderly persons at risk for hospitalization or emergency department visit. Am J Manag Care. 2000;6:925-933.

11. Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chron Dis. 1987;40:373-383.

12. Kripalani S, Jackson AT, Schnipper JL, et al. Promoting effective transitions of care at hospital discharge: a review of key issues for hospitalists. J Hosp Med. 2007;2:314-323.

13. Kim CS, Flanders SA. In the clinic. Transitions of care. Ann Intern Med. 2013;158(5 pt 1):ITC3-1.

14. Hansen LO, Strater A, Smith L, et al. Hospital discharge documentation and risk of rehospitalisation. BMJ Qual Saf. 2011;20:773-778.

15. Vaduganathan M, Bonow RO, Gheorghiade M. Thirty-day readmissions: the clock is ticking. JAMA. 2013;309:345-346.

16. Hansen LO, Young RS, Hinami K, et al. Interventions to reduce 30-day rehospitalization: a systematic review. Ann Intern Med. 2011;155:520-528.

17. Misky GJ, Wald HL, Coleman EA. Post-hospitalization transitions: Examining the effects of timing of primary care provider follow-up. J Hosp Med. 2010;5:392-397.

18. van Walraven C, Jennings A, Taljaard M, et al. Incidence of potentially avoidable urgent readmissions and their relation to all-cause urgent readmissions. CMAJ. 2011;183:E1067-E1072.

19. Tang, N. A primary care physician’s ideal transitions of care—where’s the evidence? J Hosp Med. 2013;8:472-477.

20. Crocker JB, Crocker JT, Greenwald JL. Telephone follow-up as a primary care intervention for postdischarge outcomes improvement: a systematic review. Am J Med. 2012;125:915-921.

21. Wong FK, Chow S, Chung L, et al. Can home visits help reduce hospital readmissions? Randomized controlled trial. J Adv Nurs. 2008;62:585-595.

22. Wong FK, Chow SK, Chan TM, et al. Comparison of effects between home visits with telephone calls and telephone calls only for transitional discharge support: a randomised controlled trial. Age Ageing. 2014;43:91-97.

23. Mueller SK, Sponsler KC, Kripalani S, et al. Hospital-based medication reconciliation practices: a systematic review. Arch Intern Med. 2012;172:1057-1069.

24. Glintborg B, Andersen SE, Dalhoff K. Insufficient communication about medication use at the interface between hospital and primary care. Qual Saf Health Care. 2007;16:34-39.

25. Schnipper JL, Kirwin JL, Cotugno MC, et al. Role of pharmacist counseling in preventing adverse drug events after hospitalization. Arch Intern Med. 2006;166:565-571.

26. Kilcup M, Schultz D, Carlson J, et al. Postdischarge pharmacist medication reconciliation: impact on readmission rates and financial savings. J Am Pharm Assoc (2003). 2013;53:78-84.

27. Vermeire E, Hearnshaw H, Van Royen P, et al. Patient adherence to treatment: three decades of research. A comprehensive review. J Clin Pharm Ther. 2001;26:331-342.

28. Vik SA, Maxwell CJ, Hogan DB. Measurement, correlates, and health outcomes of medication adherence among seniors. Ann Pharmacother. 2004;38:303-312.


29. Osterberg L, Blaschke T. Adherence to medication. N Engl J Med. 2005;353:487-497.

30. Viswanathan M, Golin CE, Jones CD, et al. Interventions to improve adherence to self-administered medications for chronic diseases in the United States: a systematic review. Ann Intern Med. 2012;157:785-795.

31. McDonald HP, Garg AX, Haynes RB. Interventions to enhance patient adherence to medication prescriptions: scientific review. JAMA. 2002;288:2868-2879.

32. Kripalani S, Yao X, Haynes RB. Interventions to enhance medication adherence in chronic medical conditions: a systematic review. Arch Intern Med. 2007;167:540-550.

33. Eisen SA, Miller DK, Woodward RS, et al. The effect of prescribed daily dose frequency on patient medication compliance. Arch Intern Med. 1990;150:1881-1884.

34. Field TS, Gurwitz JH, Avorn J, et al. Risk factors for adverse drug events among nursing home residents. Arch Intern Med. 2001;161:1629-1634.

35. Persell SD, Osborn CY, Richard R, et al. Limited health literacy is a barrier to medication reconciliation in ambulatory care. J Gen Intern Med. 2007;22:1523-1526.

36. Weiss BD. Health Literacy and Patient Safety: Help Patients Understand. Manual for Clinicians. Chicago, IL: American Medical Association Foundation; 2007.

37. Chew LD, Bradley KA, Bokyo EJ. Brief questions to identify patients with inadequate health literacy. Fam Med. 2004;36:588-594.

38. Wallace LS, Rogers ES, Roskos SE, et al. Brief report: screening items to identify patients with limited health literacy skills. J Gen Intern Med. 2006;21:874-877.

39. Doak CC, Doak LG, Root JH. Teaching Patients with Low Literacy Skills. 2nd ed. Philadelphia, PA: JB Lippincott Company; 1996.

40. Back AL, Arnold RM, Baile WF, et al. Approaching difficult communication tasks in oncology. CA Cancer J Clin. 2005;55: 164-177.

41. Doak LG, Doak CC, eds. Pfizer Principles for Clear Health Communication: A Handbook for Creating Patient Education Materials that Enhance Understanding and Promote Health Outcomes. 2nd ed. New York, NY: Pfizer; 2004.

42. Bradley EH, Bogardus ST Jr, Tinetti M, et al. Goal-setting in clinical medicine. Soc Sci Med. 1999;49:267-278.

43. Koelling TM, Johnson ML, Cody RJ, et al. Discharge education improves clinical outcomes in patients with chronic heart failure. Circulation. 2005;111:179-185.

44. Krumholz HM, Amatruda J, Smith GL, et al. Randomized trial of an education and support intervention to prevent readmission of patients with heart failure. J Am Coll Cardiol. 2002;39:83-89.

45. Burke RE, Coleman EA. Interventions to decrease hospital readmissions: keys for cost-effectiveness. JAMA Intern Med. 2013;173:695-698.

46. Kessler KR. Relationship between the use of asthma action plans and asthma exacerbations in children with asthma: A systematic review. J Asthma Allergy Educators. 2011;2:11-21.

47. Maric B, Kaan A, Ignaszewski A, et al. A systematic review of telemonitoring technologies in heart failure. Eur J Heart Fail. 2009;11:506-517.

48. Boutwell A, Hwu S. Effective Interventions to Reduce Rehospitalizations: A Survey of the Published Evidence. Cambridge, MA: Institute for Healthcare Improvement; 2009.

49. Bodenheimer T, Laing BY. The teamlet model of primary care. Ann Fam Med. 2007;5:457-461.

50. Meier D, Beresford L. Outpatient clinics are a new frontier for palliative care. J Pall Med. 2008;11:823-828.

 

 

References

 

1. Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med. 2009;360:1418-1428

2. O’Connor CM, Miller AB, Blair JE, et al; Efficacy of Vasopressin Antagonism in heart Failure Outcome Study with Tolvaptan (EVEREST) investigators. Causes of death and rehospitalization in patients hospitalized with worsening heart failure and reduce left ventricular ejection fraction; results from EVEREST program. Am Heart J. 2010;159:841-849.e1.

3. Garrison GM, Mansukhani MP, Bohn B. Predictors of thirty-day readmission among hospitalized family medicine patients. J Am Board Fam Med. 2013;26:71-77.


4. Boult C, Dowd B, McCaffrey D, et al. Screening elders for risk of hospital admission. J Am Geriatr Soc. 1993;41:811-817.

5. Dharmarajan K, Hsieh AF, Lin Z, et al. Diagnoses and timing of 30-day readmissions after hospitalization for heart failure, acute myocardial infarction, or pneumonia. JAMA. 2013;309:355-363.

6. Kansagara D, Englander H, Salanitro A, et al. Risk prediction models for hospital readmission: a systematic review. JAMA. 2011;306:1688-1698.

7. Haas LR, Takahashi PY, Shah ND, et al. Risk-stratification methods for identifying patients for care coordination. Am J Manag Care. 2013;19:725-732.

8. Wallace E, Hinchey T, Dimitrov BD, et al. A systematic review of the probability of repeated admission score in community-dwelling adults. J Am Geriatr Soc. 2013;61:357-364.

9. Cotter PE, Bhalla VK, Wallis SJ, et al. Predicting readmissions: poor performance of the LACE index in an older UK population. Age Ageing. 2012;41:784-789.

10. Shelton P, Sager MA, Schraeder C. The community assessment risk screen (CARS): identifying elderly persons at risk for hospitalization or emergency department visit. Am J Manag Care. 2000;6:925-933.

11. Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chron Dis. 1987;40:373-383.

12. Kripalani S, Jackson AT, Schnipper JL, et al. Promoting effective transitions of care at hospital discharge: a review of key issues for hospitalists. J Hosp Med. 2007;2:314-323.

13. Kim CS, Flanders SA. In the clinic. Transitions of care. Ann Intern Med. 2013;158(5 pt 1):ITC3-1.

14. Hansen LO, Strater A, Smith L, et al. Hospital discharge documentation and risk of rehospitalisation. BMJ Qual Saf. 2011;20:773-778.

15. Vaduganathan M, Bonow RO, Gheorghiade M. Thirty-day readmissions: the clock is ticking. JAMA. 2013;309:345-346.

16. Hansen LO, Young RS, Hinami K, et al. Interventions to reduce 30-day rehospitalization: a systematic review. Ann Intern Med. 2011;155:520-528.

17. Misky GJ, Wald HL, Coleman EA. Post-hospitalization transitions: Examining the effects of timing of primary care provider follow-up. J Hosp Med. 2010;5:392-397.

18. van Walraven C, Jennings A, Taljaard M, et al. Incidence of potentially avoidable urgent readmissions and their relation to all-cause urgent readmissions. CMAJ. 2011;183:E1067-E1072.

19. Tang, N. A primary care physician’s ideal transitions of care—where’s the evidence? J Hosp Med. 2013;8:472-477.

20. Crocker JB, Crocker JT, Greenwald JL. Telephone follow-up as a primary care intervention for postdischarge outcomes improvement: a systematic review. Am J Med. 2012;125:915-921.

21. Wong FK, Chow S, Chung L, et al. Can home visits help reduce hospital readmissions? Randomized controlled trial. J Adv Nurs. 2008;62:585-595.

22. Wong FK, Chow SK, Chan TM, et al. Comparison of effects between home visits with telephone calls and telephone calls only for transitional discharge support: a randomised controlled trial. Age Ageing. 2014;43:91-97.

23. Mueller SK, Sponsler KC, Kripalani S, et al. Hospital-based medication reconciliation practices: a systematic review. Arch Intern Med. 2012;172:1057-1069.

24. Glintborg B, Andersen SE, Dalhoff K. Insufficient communication about medication use at the interface between hospital and primary care. Qual Saf Health Care. 2007;16:34-39.

25. Schnipper JL, Kirwin JL, Cotugno MC, et al. Role of pharmacist counseling in preventing adverse drug events after hospitalization. Arch Intern Med. 2006;166:565-571.

26. Kilcup M, Schultz D, Carlson J, et al. Postdischarge pharmacist medication reconciliation: impact on readmission rates and financial savings. J Am Pharm Assoc (2003). 2013;53:78-84.

27. Vermeire E, Hearnshaw H, Van Royen P, et al. Patient adherence to treatment: three decades of research. A comprehensive review. J Clin Pharm Ther. 2001;26:331-342.

28. Vik SA, Maxwell CJ, Hogan DB. Measurement, correlates, and health outcomes of medication adherence among seniors. Ann Pharmacother. 2004;38:303-312.


29. Osterberg L, Blaschke T. Adherence to medication. N Engl J Med. 2005;353:487-497.

30. Viswanathan M, Golin CE, Jones CD, et al. Interventions to improve adherence to self-administered medications for chronic diseases in the United States: a systematic review. Ann Intern Med. 2012;157:785-795.

31. McDonald HP, Garg AX, Haynes RB. Interventions to enhance patient adherence to medication prescriptions: scientific review. JAMA. 2002;288:2868-2879.

32. Kripalani S, Yao X, Haynes RB. Interventions to enhance medication adherence in chronic medical conditions: a systematic review. Arch Intern Med. 2007;167:540-550.

33. Eisen SA, Miller DK, Woodward RS, et al. The effect of prescribed daily dose frequency on patient medication compliance. Arch Intern Med. 1990;150:1881-1884.

34. Field TS, Gurwitz JH, Avorn J, et al. Risk factors for adverse drug events among nursing home residents. Arch Intern Med. 2001;161:1629-1634.

35. Persell SD, Osborn CY, Richard R, et al. Limited health literacy is a barrier to medication reconciliation in ambulatory care. J Gen Intern Med. 2007;22:1523-1526.

36. Weiss BD. Health Literacy and Patient Safety: Help Patients Understand. Manual for Clinicians. Chicago, IL: American Medical Association Foundation; 2007.

37. Chew LD, Bradley KA, Bokyo EJ. Brief questions to identify patients with inadequate health literacy. Fam Med. 2004;36:588-594.

38. Wallace LS, Rogers ES, Roskos SE, et al. Brief report: screening items to identify patients with limited health literacy skills. J Gen Intern Med. 2006;21:874-877.

39. Doak CC, Doak LG, Root JH. Teaching Patients with Low Literacy Skills. 2nd ed. Philadelphia, PA: JB Lippincott Company; 1996.

40. Back AL, Arnold RM, Baile WF, et al. Approaching difficult communication tasks in oncology. CA Cancer J Clin. 2005;55: 164-177.

41. Doak LG, Doak CC, eds. Pfizer Principles for Clear Health Communication: A Handbook for Creating Patient Education Materials that Enhance Understanding and Promote Health Outcomes. 2nd ed. New York, NY: Pfizer; 2004.

42. Bradley EH, Bogardus ST Jr, Tinetti M, et al. Goal-setting in clinical medicine. Soc Sci Med. 1999;49:267-278.

43. Koelling TM, Johnson ML, Cody RJ, et al. Discharge education improves clinical outcomes in patients with chronic heart failure. Circulation. 2005;111:179-185.

44. Krumholz HM, Amatruda J, Smith GL, et al. Randomized trial of an education and support intervention to prevent readmission of patients with heart failure. J Am Coll Cardiol. 2002;39:83-89.

45. Burke RE, Coleman EA. Interventions to decrease hospital readmissions: keys for cost-effectiveness. JAMA Intern Med. 2013;173:695-698.

46. Kessler KR. Relationship between the use of asthma action plans and asthma exacerbations in children with asthma: A systematic review. J Asthma Allergy Educators. 2011;2:11-21.

47. Maric B, Kaan A, Ignaszewski A, et al. A systematic review of telemonitoring technologies in heart failure. Eur J Heart Fail. 2009;11:506-517.

48. Boutwell A, Hwu S. Effective Interventions to Reduce Rehospitalizations: A Survey of the Published Evidence. Cambridge, MA: Institute for Healthcare Improvement; 2009.

49. Bodenheimer T, Laing BY. The teamlet model of primary care. Ann Fam Med. 2007;5:457-461.

50. Meier D, Beresford L. Outpatient clinics are a new frontier for palliative care. J Pall Med. 2008;11:823-828.

 

 

Issue
The Journal of Family Practice - 63(8)
Issue
The Journal of Family Practice - 63(8)
Page Number
430-438,438a
Page Number
430-438,438a
Publications
Publications
Topics
Article Type
Display Headline
Strategies to help reduce hospital readmissions
Display Headline
Strategies to help reduce hospital readmissions
Legacy Keywords
hospital readmissions; risk stratification; adverse drug events; Danielle Snyderman; MD; Brooke Salzman; MD; Geoffrey Mills; MD; PhD; Lauren Hersh; MD; Susan Parks; MD; practice management
Legacy Keywords
hospital readmissions; risk stratification; adverse drug events; Danielle Snyderman; MD; Brooke Salzman; MD; Geoffrey Mills; MD; PhD; Lauren Hersh; MD; Susan Parks; MD; practice management
Sections
Disallow All Ads
Alternative CME
Article PDF Media

Learn how to get reimbursed for postdischarge care

Article Type
Changed
Display Headline
Learn how to get reimbursed for postdischarge care

Author and Disclosure Information

Dr. Mills is Assistant Professor and Assistant Residency Program Director, Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, Pa.

Issue
The Journal of Family Practice - 63(8)
Publications
Topics
Page Number
audio
Author and Disclosure Information

Dr. Mills is Assistant Professor and Assistant Residency Program Director, Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, Pa.

Author and Disclosure Information

Dr. Mills is Assistant Professor and Assistant Residency Program Director, Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, Pa.

Related Articles

Issue
The Journal of Family Practice - 63(8)
Issue
The Journal of Family Practice - 63(8)
Page Number
audio
Page Number
audio
Publications
Publications
Topics
Article Type
Display Headline
Learn how to get reimbursed for postdischarge care
Display Headline
Learn how to get reimbursed for postdischarge care
Disallow All Ads
Alternative CME
Use ProPublica

Team pinpoints possible target for T-ALL

Article Type
Changed
Display Headline
Team pinpoints possible target for T-ALL

Test tubes

Researchers have discovered a potential therapeutic target for T-cell acute lymphoblastic leukemia (T-ALL), according to a paper published in Cell.

The team first identified long, non-coding strands of RNA (lncRNA) that were active in T cells from patients with T-ALL but not in the healthy T cells of subjects without the disease.

Further analysis revealed that inhibiting 1 of these lncRNAs, LUNAR1 (leukemia-induced non-coding activator RNA-1), stalled T-ALL growth in vitro and in vivo.

The study offers preliminary evidence that drugs targeting LUNAR1 could treat T-ALL, and LUNAR1 could aid in diagnosing the disease, said Iannis Aifantis, PhD, of NYU Langone Medical Center in New York.

“Our study shows that LUNAR1 is highly specific for T-cell acute lymphoblastic leukemia and plays a key role in how this cancer develops,” he noted, adding that overproduction of LUNAR1 was recorded in almost all (90%) of the leukemia patients analyzed.

To make these discoveries, Dr Aifantis and his colleagues performed ultra-high-depth RNA sequencing of human T-ALL cell lines and primary leukemia samples.

They used the resulting data to generate the most comprehensive T-ALL transcriptome assembly to date and then isolated putative lncRNA genes. This revealed 6023 lncRNAs that are active in T-ALL, 60% of which had not been identified before.

The researchers zeroed in on LUNAR1 by pinpointing the lncRNAs that were active in the NOTCH1 pathway, which is active in at least half of T-ALL patients. LUNAR1 stood out right away, the team said, as the most highly expressed lncRNA.

The researchers also found that LUNAR1 does not produce cancerous proteins on its own. However, its production proved essential to the cell-to-cell signaling action of another protein, IGF-1R (insulin-like growth factor 1 receptor), which is tied to many cancers, including leukemia.

Additional experiments showed that the gene coding for LUNAR1 is near the gene for IGF-1R and located toward the end of the chromosome. When activated, LUNAR1’s position allows it to chemically loop back and, in turn, bind to and activate IGF-1R.

According to Dr Aifantis, this research shows that T-ALL could simply be described as a condition of “too much errant signaling.” He noted that, in normal T cells, lncRNAs such as LUNAR1 are not transcribed, NOTCH1 is inactive, and there is no looping back of LUNAR1 to activate IGF-1R.

To confirm their findings, the researchers also transplanted human leukemia T cells into mice and inhibited LUNAR1 in some of the animals. Tumor growth stalled only in those mice in which LUNAR1 was inactivated.

The researchers said their next step is to develop a more effective inhibitor of LUNAR1, preferably something that would precisely target 1 or more of its 200-plus component nucleotides.

Publications
Topics

Test tubes

Researchers have discovered a potential therapeutic target for T-cell acute lymphoblastic leukemia (T-ALL), according to a paper published in Cell.

The team first identified long, non-coding strands of RNA (lncRNA) that were active in T cells from patients with T-ALL but not in the healthy T cells of subjects without the disease.

Further analysis revealed that inhibiting 1 of these lncRNAs, LUNAR1 (leukemia-induced non-coding activator RNA-1), stalled T-ALL growth in vitro and in vivo.

The study offers preliminary evidence that drugs targeting LUNAR1 could treat T-ALL, and LUNAR1 could aid in diagnosing the disease, said Iannis Aifantis, PhD, of NYU Langone Medical Center in New York.

“Our study shows that LUNAR1 is highly specific for T-cell acute lymphoblastic leukemia and plays a key role in how this cancer develops,” he noted, adding that overproduction of LUNAR1 was recorded in almost all (90%) of the leukemia patients analyzed.

To make these discoveries, Dr Aifantis and his colleagues performed ultra-high-depth RNA sequencing of human T-ALL cell lines and primary leukemia samples.

They used the resulting data to generate the most comprehensive T-ALL transcriptome assembly to date and then isolated putative lncRNA genes. This revealed 6023 lncRNAs that are active in T-ALL, 60% of which had not been identified before.

The researchers zeroed in on LUNAR1 by pinpointing the lncRNAs that were active in the NOTCH1 pathway, which is active in at least half of T-ALL patients. LUNAR1 stood out right away, the team said, as the most highly expressed lncRNA.

The researchers also found that LUNAR1 does not produce cancerous proteins on its own. However, its production proved essential to the cell-to-cell signaling action of another protein, IGF-1R (insulin-like growth factor 1 receptor), which is tied to many cancers, including leukemia.

Additional experiments showed that the gene coding for LUNAR1 is near the gene for IGF-1R and located toward the end of the chromosome. When activated, LUNAR1’s position allows it to chemically loop back and, in turn, bind to and activate IGF-1R.

According to Dr Aifantis, this research shows that T-ALL could simply be described as a condition of “too much errant signaling.” He noted that, in normal T cells, lncRNAs such as LUNAR1 are not transcribed, NOTCH1 is inactive, and there is no looping back of LUNAR1 to activate IGF-1R.

To confirm their findings, the researchers also transplanted human leukemia T cells into mice and inhibited LUNAR1 in some of the animals. Tumor growth stalled only in those mice in which LUNAR1 was inactivated.

The researchers said their next step is to develop a more effective inhibitor of LUNAR1, preferably something that would precisely target 1 or more of its 200-plus component nucleotides.

Test tubes

Researchers have discovered a potential therapeutic target for T-cell acute lymphoblastic leukemia (T-ALL), according to a paper published in Cell.

The team first identified long, non-coding strands of RNA (lncRNA) that were active in T cells from patients with T-ALL but not in the healthy T cells of subjects without the disease.

Further analysis revealed that inhibiting 1 of these lncRNAs, LUNAR1 (leukemia-induced non-coding activator RNA-1), stalled T-ALL growth in vitro and in vivo.

The study offers preliminary evidence that drugs targeting LUNAR1 could treat T-ALL, and LUNAR1 could aid in diagnosing the disease, said Iannis Aifantis, PhD, of NYU Langone Medical Center in New York.

“Our study shows that LUNAR1 is highly specific for T-cell acute lymphoblastic leukemia and plays a key role in how this cancer develops,” he noted, adding that overproduction of LUNAR1 was recorded in almost all (90%) of the leukemia patients analyzed.

To make these discoveries, Dr Aifantis and his colleagues performed ultra-high-depth RNA sequencing of human T-ALL cell lines and primary leukemia samples.

They used the resulting data to generate the most comprehensive T-ALL transcriptome assembly to date and then isolated putative lncRNA genes. This revealed 6023 lncRNAs that are active in T-ALL, 60% of which had not been identified before.

The researchers zeroed in on LUNAR1 by pinpointing the lncRNAs that were active in the NOTCH1 pathway, which is active in at least half of T-ALL patients. LUNAR1 stood out right away, the team said, as the most highly expressed lncRNA.

The researchers also found that LUNAR1 does not produce cancerous proteins on its own. However, its production proved essential to the cell-to-cell signaling action of another protein, IGF-1R (insulin-like growth factor 1 receptor), which is tied to many cancers, including leukemia.

Additional experiments showed that the gene coding for LUNAR1 is near the gene for IGF-1R and located toward the end of the chromosome. When activated, LUNAR1’s position allows it to chemically loop back and, in turn, bind to and activate IGF-1R.

According to Dr Aifantis, this research shows that T-ALL could simply be described as a condition of “too much errant signaling.” He noted that, in normal T cells, lncRNAs such as LUNAR1 are not transcribed, NOTCH1 is inactive, and there is no looping back of LUNAR1 to activate IGF-1R.

To confirm their findings, the researchers also transplanted human leukemia T cells into mice and inhibited LUNAR1 in some of the animals. Tumor growth stalled only in those mice in which LUNAR1 was inactivated.

The researchers said their next step is to develop a more effective inhibitor of LUNAR1, preferably something that would precisely target 1 or more of its 200-plus component nucleotides.

Publications
Publications
Topics
Article Type
Display Headline
Team pinpoints possible target for T-ALL
Display Headline
Team pinpoints possible target for T-ALL
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica

Approach could improve treatment of lymphoma, other cancers

Article Type
Changed
Display Headline
Approach could improve treatment of lymphoma, other cancers

Endothelial cells

Credit: NIH

Targeting a molecule in endothelial cells could make cancer therapies significantly more effective, preclinical research suggests.

The researchers found that a molecule called focal adhesion kinase (FAK) can help protect cancer cells from the damaging effects of chemotherapy and radiotherapy.

But deleting FAK can enhance the effects of treatment directed against melanoma, lung cancer, and lymphoma.

The team recounted these findings in Nature.

“This work shows that sensitivity to cancer treatment is related to our own body mistakenly trying to shield the cancer from cell-killing effects caused by radiotherapy and chemotherapy,” said study author Bernardo Tavora, PhD, of Rockefeller University in New York.

“Although taking out FAK from blood vessels won’t destroy the cancer by itself, it can remove the barrier cancer uses to protect itself from treatment.”

Dr Tavora and his colleagues removed FAK from endothelial cells in mouse models of melanoma, lung cancer, and lymphoma. This had no effect on tumor growth in untreated mice.

However, the loss of endothelial-cell FAK did aid the effects of doxorubicin and radiotherapy. It increased apoptosis and decreased proliferation within perivascular tumor-cell compartments, thereby extending survival in the mice.

The researchers also studied samples from lymphoma patients. And they found that patients with low levels of FAK were more likely to achieve a complete remission after treatment.

Investigation into the mechanism behind these effects revealed that endothelial-cell FAK is required for the production of cytokines and for NF-κB activation induced by DNA damage.

So the loss of endothelial-cell FAK reduces DNA-damage-induced cytokine production, thereby increasing cancer cells’ sensitivity to DNA-damaging therapies in vitro and in vivo.

Taken together, these results suggest that developing drugs to target FAK could help improve the efficacy of cancer treatments and potentially prevent relapse in a number of malignancies.

Publications
Topics

Endothelial cells

Credit: NIH

Targeting a molecule in endothelial cells could make cancer therapies significantly more effective, preclinical research suggests.

The researchers found that a molecule called focal adhesion kinase (FAK) can help protect cancer cells from the damaging effects of chemotherapy and radiotherapy.

But deleting FAK can enhance the effects of treatment directed against melanoma, lung cancer, and lymphoma.

The team recounted these findings in Nature.

“This work shows that sensitivity to cancer treatment is related to our own body mistakenly trying to shield the cancer from cell-killing effects caused by radiotherapy and chemotherapy,” said study author Bernardo Tavora, PhD, of Rockefeller University in New York.

“Although taking out FAK from blood vessels won’t destroy the cancer by itself, it can remove the barrier cancer uses to protect itself from treatment.”

Dr Tavora and his colleagues removed FAK from endothelial cells in mouse models of melanoma, lung cancer, and lymphoma. This had no effect on tumor growth in untreated mice.

However, the loss of endothelial-cell FAK did aid the effects of doxorubicin and radiotherapy. It increased apoptosis and decreased proliferation within perivascular tumor-cell compartments, thereby extending survival in the mice.

The researchers also studied samples from lymphoma patients. And they found that patients with low levels of FAK were more likely to achieve a complete remission after treatment.

Investigation into the mechanism behind these effects revealed that endothelial-cell FAK is required for the production of cytokines and for NF-κB activation induced by DNA damage.

So the loss of endothelial-cell FAK reduces DNA-damage-induced cytokine production, thereby increasing cancer cells’ sensitivity to DNA-damaging therapies in vitro and in vivo.

Taken together, these results suggest that developing drugs to target FAK could help improve the efficacy of cancer treatments and potentially prevent relapse in a number of malignancies.

Endothelial cells

Credit: NIH

Targeting a molecule in endothelial cells could make cancer therapies significantly more effective, preclinical research suggests.

The researchers found that a molecule called focal adhesion kinase (FAK) can help protect cancer cells from the damaging effects of chemotherapy and radiotherapy.

But deleting FAK can enhance the effects of treatment directed against melanoma, lung cancer, and lymphoma.

The team recounted these findings in Nature.

“This work shows that sensitivity to cancer treatment is related to our own body mistakenly trying to shield the cancer from cell-killing effects caused by radiotherapy and chemotherapy,” said study author Bernardo Tavora, PhD, of Rockefeller University in New York.

“Although taking out FAK from blood vessels won’t destroy the cancer by itself, it can remove the barrier cancer uses to protect itself from treatment.”

Dr Tavora and his colleagues removed FAK from endothelial cells in mouse models of melanoma, lung cancer, and lymphoma. This had no effect on tumor growth in untreated mice.

However, the loss of endothelial-cell FAK did aid the effects of doxorubicin and radiotherapy. It increased apoptosis and decreased proliferation within perivascular tumor-cell compartments, thereby extending survival in the mice.

The researchers also studied samples from lymphoma patients. And they found that patients with low levels of FAK were more likely to achieve a complete remission after treatment.

Investigation into the mechanism behind these effects revealed that endothelial-cell FAK is required for the production of cytokines and for NF-κB activation induced by DNA damage.

So the loss of endothelial-cell FAK reduces DNA-damage-induced cytokine production, thereby increasing cancer cells’ sensitivity to DNA-damaging therapies in vitro and in vivo.

Taken together, these results suggest that developing drugs to target FAK could help improve the efficacy of cancer treatments and potentially prevent relapse in a number of malignancies.

Publications
Publications
Topics
Article Type
Display Headline
Approach could improve treatment of lymphoma, other cancers
Display Headline
Approach could improve treatment of lymphoma, other cancers
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica

Early HSCT best for infants with SCID, study shows

Article Type
Changed
Display Headline
Early HSCT best for infants with SCID, study shows

Preparing for HSCT

Credit: Chad McNeeley

Children with severe combined immune deficiency (SCID) have a good chance of survival if they undergo hematopoietic stem cell transplant (HSCT) within 3.5 months of birth, a new analysis suggests.

The risk of death is also lower if patients are free of infection at transplant and have a matched sibling donor.

“Survival is much, much better if infants undergo transplant before they turn 3.5 months old and before they contract any SCID-related infections,” said Sung-Yun Pai, MD, of the Dana-Farber Cancer Institute in Boston.

This underlines the importance of screening newborns for SCID, she added.

Dr Pai and her colleagues expressed this viewpoint, and detailed the research to support it, in The New England Journal of Medicine.

The team analyzed data on 240 children with SCID who were transplanted at 25 centers across North America between January 1, 2000, and December 31, 2009, (before the US Department of Health and Human Services recommended newborn screening for SCID in 2010).

The researchers assessed the patients’ outcomes according to age, infection status, donor source, and conditioning regimen.

Results revealed that children who underwent transplant before 3.5 months of age had excellent survival, regardless of donor source or infection status, as did patients with a matched sibling donor.

Children transplanted after 3.5 months also had a high survival rate regardless of donor source, as long as they did not have an active infection at the time of transplant.

Overall, 74% of patients survived at least 5 years. The 5-year survival rate was 97% in patients with a matched sibling donor, 94% among patients transplanted within 3.5 months of birth, 90% among patients who never had an infection, and 82% in patients whose infection resolved before transplant.

Survival was low—50%—among patients who were older than 3.5 months and had active infections at the time of transplant.

Actively infected infants who did not have a matched sibling donor and received immunosuppressive therapy or chemotherapy before transplant had particularly poor survival as well, ranging from 39% to 53%.

“This study accomplishes several things,” Dr Pai said. “First, it creates a baseline with which to compare patient outcomes since the advent of newborn screening for SCID. Second, it provides guidance for clinicians regarding the use of chemotherapy conditioning before transplantation.”

“Third, it highlights the relative impacts of infection status and patient age on transplant success. Lastly, it establishes the importance of early detection and transplantation, which points to the benefit of expanding newborn screening for SCID as broadly as possible.”

Publications
Topics

Preparing for HSCT

Credit: Chad McNeeley

Children with severe combined immune deficiency (SCID) have a good chance of survival if they undergo hematopoietic stem cell transplant (HSCT) within 3.5 months of birth, a new analysis suggests.

The risk of death is also lower if patients are free of infection at transplant and have a matched sibling donor.

“Survival is much, much better if infants undergo transplant before they turn 3.5 months old and before they contract any SCID-related infections,” said Sung-Yun Pai, MD, of the Dana-Farber Cancer Institute in Boston.

This underlines the importance of screening newborns for SCID, she added.

Dr Pai and her colleagues expressed this viewpoint, and detailed the research to support it, in The New England Journal of Medicine.

The team analyzed data on 240 children with SCID who were transplanted at 25 centers across North America between January 1, 2000, and December 31, 2009, (before the US Department of Health and Human Services recommended newborn screening for SCID in 2010).

The researchers assessed the patients’ outcomes according to age, infection status, donor source, and conditioning regimen.

Results revealed that children who underwent transplant before 3.5 months of age had excellent survival, regardless of donor source or infection status, as did patients with a matched sibling donor.

Children transplanted after 3.5 months also had a high survival rate regardless of donor source, as long as they did not have an active infection at the time of transplant.

Overall, 74% of patients survived at least 5 years. The 5-year survival rate was 97% in patients with a matched sibling donor, 94% among patients transplanted within 3.5 months of birth, 90% among patients who never had an infection, and 82% in patients whose infection resolved before transplant.

Survival was low—50%—among patients who were older than 3.5 months and had active infections at the time of transplant.

Actively infected infants who did not have a matched sibling donor and received immunosuppressive therapy or chemotherapy before transplant had particularly poor survival as well, ranging from 39% to 53%.

“This study accomplishes several things,” Dr Pai said. “First, it creates a baseline with which to compare patient outcomes since the advent of newborn screening for SCID. Second, it provides guidance for clinicians regarding the use of chemotherapy conditioning before transplantation.”

“Third, it highlights the relative impacts of infection status and patient age on transplant success. Lastly, it establishes the importance of early detection and transplantation, which points to the benefit of expanding newborn screening for SCID as broadly as possible.”

Preparing for HSCT

Credit: Chad McNeeley

Children with severe combined immune deficiency (SCID) have a good chance of survival if they undergo hematopoietic stem cell transplant (HSCT) within 3.5 months of birth, a new analysis suggests.

The risk of death is also lower if patients are free of infection at transplant and have a matched sibling donor.

“Survival is much, much better if infants undergo transplant before they turn 3.5 months old and before they contract any SCID-related infections,” said Sung-Yun Pai, MD, of the Dana-Farber Cancer Institute in Boston.

This underlines the importance of screening newborns for SCID, she added.

Dr Pai and her colleagues expressed this viewpoint, and detailed the research to support it, in The New England Journal of Medicine.

The team analyzed data on 240 children with SCID who were transplanted at 25 centers across North America between January 1, 2000, and December 31, 2009, (before the US Department of Health and Human Services recommended newborn screening for SCID in 2010).

The researchers assessed the patients’ outcomes according to age, infection status, donor source, and conditioning regimen.

Results revealed that children who underwent transplant before 3.5 months of age had excellent survival, regardless of donor source or infection status, as did patients with a matched sibling donor.

Children transplanted after 3.5 months also had a high survival rate regardless of donor source, as long as they did not have an active infection at the time of transplant.

Overall, 74% of patients survived at least 5 years. The 5-year survival rate was 97% in patients with a matched sibling donor, 94% among patients transplanted within 3.5 months of birth, 90% among patients who never had an infection, and 82% in patients whose infection resolved before transplant.

Survival was low—50%—among patients who were older than 3.5 months and had active infections at the time of transplant.

Actively infected infants who did not have a matched sibling donor and received immunosuppressive therapy or chemotherapy before transplant had particularly poor survival as well, ranging from 39% to 53%.

“This study accomplishes several things,” Dr Pai said. “First, it creates a baseline with which to compare patient outcomes since the advent of newborn screening for SCID. Second, it provides guidance for clinicians regarding the use of chemotherapy conditioning before transplantation.”

“Third, it highlights the relative impacts of infection status and patient age on transplant success. Lastly, it establishes the importance of early detection and transplantation, which points to the benefit of expanding newborn screening for SCID as broadly as possible.”

Publications
Publications
Topics
Article Type
Display Headline
Early HSCT best for infants with SCID, study shows
Display Headline
Early HSCT best for infants with SCID, study shows
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica

FDA aims for tighter regulation of diagnostic tests

Article Type
Changed
Display Headline
FDA aims for tighter regulation of diagnostic tests

Blood samples

Credit: William Weinert

The US Food and Drug Administration (FDA) is taking steps to ensure better regulation of certain diagnostic tests.

The agency has issued a final guidance on the development, review, and approval of companion diagnostics.

The FDA has also notified Congress of its intention to publish a draft guidance outlining a plan for regulating laboratory-developed tests (LDTs).

The FDA is required to notify Congress before making the draft guidance public. This is mandated by the Food and Drug Administration Safety and Innovation Act of 2012 (FDASIA).

Companion diagnostics guidance

A companion diagnostic is a medical device that provides information essential for the safe and effective use of a corresponding drug or biological product. These tests are commonly used to detect certain types of gene-based cancers.

The FDA’s companion diagnostics guidance is intended to help companies identify the need for these tests during the earliest stages of drug development and to plan for the development of a drug and a companion test at the same time.

The ultimate goal of the final guidance is to stimulate early collaborations that will result in faster access to promising new treatments for patients living with serious and life-threatening diseases. This guidance finalizes and takes into consideration public comments on the draft guidance issued in 2011.

LDT oversight

An LDT is a type of in vitro diagnostic test that is designed, manufactured, and used within a single lab. LDTs include some genetic tests and tests used by healthcare professionals to guide patient treatment.

The FDA already oversees direct-to-consumer tests, regardless of whether they are LDTs or traditional diagnostics.

And while the FDA has historically exercised enforcement discretion over LDTs (generally not enforced applicable regulatory requirements), today, these tests may compete with FDA-approved tests without clinical studies to support their use.

The LDT notification to Congress provides the details of a draft guidance in which the FDA would propose to establish an LDT oversight framework. This would include pre-market review for higher-risk LDTs, such as those that have the same intended use as FDA-approved or cleared companion diagnostics currently on the market.

The draft guidance would also propose to phase in enforcement of pre-market review for other high-risk and moderate-risk LDTs over time.

In addition, the FDA intends to propose that it continue to exercise enforcement discretion for low-risk LDTs, LDTs for rare diseases and, under certain circumstances, LDTs for which there is no FDA-approved or cleared test.

“With today’s notification of the agency’s intent to issue the lab-developed test draft guidance, the FDA is seeking a better balanced approach for all diagnostics,” said Jeffrey Shuren, MD, director of the FDA’s Center for Devices and Radiological Health.

“The agency’s oversight would be based on a test’s level of risk to patients, not on whether it is made by a conventional manufacturer or in a single laboratory, while still providing flexibility to encourage innovation that addresses unmet medical needs.”

Finally, the FDA intends to publish a draft guidance outlining how labs can notify the FDA that they are manufacturing and using LDTs, how to provide information about their LDTs, and how they can comply with the medical device reporting requirements.

A provision in FDASIA requires the FDA to provide at least 60 days’ notice to Congress before the agency publishes for public comment any draft guidance on the regulation of LDTs.

As such, the comment period will open at a later date, when the draft guidances are published in the Federal Register and the public is alerted to the start of the comment period. The agency also intends to hold a public meeting during the comment period to collect additional input.

Publications
Topics

Blood samples

Credit: William Weinert

The US Food and Drug Administration (FDA) is taking steps to ensure better regulation of certain diagnostic tests.

The agency has issued a final guidance on the development, review, and approval of companion diagnostics.

The FDA has also notified Congress of its intention to publish a draft guidance outlining a plan for regulating laboratory-developed tests (LDTs).

The FDA is required to notify Congress before making the draft guidance public. This is mandated by the Food and Drug Administration Safety and Innovation Act of 2012 (FDASIA).

Companion diagnostics guidance

A companion diagnostic is a medical device that provides information essential for the safe and effective use of a corresponding drug or biological product. These tests are commonly used to detect certain types of gene-based cancers.

The FDA’s companion diagnostics guidance is intended to help companies identify the need for these tests during the earliest stages of drug development and to plan for the development of a drug and a companion test at the same time.

The ultimate goal of the final guidance is to stimulate early collaborations that will result in faster access to promising new treatments for patients living with serious and life-threatening diseases. This guidance finalizes and takes into consideration public comments on the draft guidance issued in 2011.

LDT oversight

An LDT is a type of in vitro diagnostic test that is designed, manufactured, and used within a single lab. LDTs include some genetic tests and tests used by healthcare professionals to guide patient treatment.

The FDA already oversees direct-to-consumer tests, regardless of whether they are LDTs or traditional diagnostics.

And while the FDA has historically exercised enforcement discretion over LDTs (generally not enforced applicable regulatory requirements), today, these tests may compete with FDA-approved tests without clinical studies to support their use.

The LDT notification to Congress provides the details of a draft guidance in which the FDA would propose to establish an LDT oversight framework. This would include pre-market review for higher-risk LDTs, such as those that have the same intended use as FDA-approved or cleared companion diagnostics currently on the market.

The draft guidance would also propose to phase in enforcement of pre-market review for other high-risk and moderate-risk LDTs over time.

In addition, the FDA intends to propose that it continue to exercise enforcement discretion for low-risk LDTs, LDTs for rare diseases and, under certain circumstances, LDTs for which there is no FDA-approved or cleared test.

“With today’s notification of the agency’s intent to issue the lab-developed test draft guidance, the FDA is seeking a better balanced approach for all diagnostics,” said Jeffrey Shuren, MD, director of the FDA’s Center for Devices and Radiological Health.

“The agency’s oversight would be based on a test’s level of risk to patients, not on whether it is made by a conventional manufacturer or in a single laboratory, while still providing flexibility to encourage innovation that addresses unmet medical needs.”

Finally, the FDA intends to publish a draft guidance outlining how labs can notify the FDA that they are manufacturing and using LDTs, how to provide information about their LDTs, and how they can comply with the medical device reporting requirements.

A provision in FDASIA requires the FDA to provide at least 60 days’ notice to Congress before the agency publishes for public comment any draft guidance on the regulation of LDTs.

As such, the comment period will open at a later date, when the draft guidances are published in the Federal Register and the public is alerted to the start of the comment period. The agency also intends to hold a public meeting during the comment period to collect additional input.

Blood samples

Credit: William Weinert

The US Food and Drug Administration (FDA) is taking steps to ensure better regulation of certain diagnostic tests.

The agency has issued a final guidance on the development, review, and approval of companion diagnostics.

The FDA has also notified Congress of its intention to publish a draft guidance outlining a plan for regulating laboratory-developed tests (LDTs).

The FDA is required to notify Congress before making the draft guidance public. This is mandated by the Food and Drug Administration Safety and Innovation Act of 2012 (FDASIA).

Companion diagnostics guidance

A companion diagnostic is a medical device that provides information essential for the safe and effective use of a corresponding drug or biological product. These tests are commonly used to detect certain types of gene-based cancers.

The FDA’s companion diagnostics guidance is intended to help companies identify the need for these tests during the earliest stages of drug development and to plan for the development of a drug and a companion test at the same time.

The ultimate goal of the final guidance is to stimulate early collaborations that will result in faster access to promising new treatments for patients living with serious and life-threatening diseases. This guidance finalizes and takes into consideration public comments on the draft guidance issued in 2011.

LDT oversight

An LDT is a type of in vitro diagnostic test that is designed, manufactured, and used within a single lab. LDTs include some genetic tests and tests used by healthcare professionals to guide patient treatment.

The FDA already oversees direct-to-consumer tests, regardless of whether they are LDTs or traditional diagnostics.

And while the FDA has historically exercised enforcement discretion over LDTs (generally not enforced applicable regulatory requirements), today, these tests may compete with FDA-approved tests without clinical studies to support their use.

The LDT notification to Congress provides the details of a draft guidance in which the FDA would propose to establish an LDT oversight framework. This would include pre-market review for higher-risk LDTs, such as those that have the same intended use as FDA-approved or cleared companion diagnostics currently on the market.

The draft guidance would also propose to phase in enforcement of pre-market review for other high-risk and moderate-risk LDTs over time.

In addition, the FDA intends to propose that it continue to exercise enforcement discretion for low-risk LDTs, LDTs for rare diseases and, under certain circumstances, LDTs for which there is no FDA-approved or cleared test.

“With today’s notification of the agency’s intent to issue the lab-developed test draft guidance, the FDA is seeking a better balanced approach for all diagnostics,” said Jeffrey Shuren, MD, director of the FDA’s Center for Devices and Radiological Health.

“The agency’s oversight would be based on a test’s level of risk to patients, not on whether it is made by a conventional manufacturer or in a single laboratory, while still providing flexibility to encourage innovation that addresses unmet medical needs.”

Finally, the FDA intends to publish a draft guidance outlining how labs can notify the FDA that they are manufacturing and using LDTs, how to provide information about their LDTs, and how they can comply with the medical device reporting requirements.

A provision in FDASIA requires the FDA to provide at least 60 days’ notice to Congress before the agency publishes for public comment any draft guidance on the regulation of LDTs.

As such, the comment period will open at a later date, when the draft guidances are published in the Federal Register and the public is alerted to the start of the comment period. The agency also intends to hold a public meeting during the comment period to collect additional input.

Publications
Publications
Topics
Article Type
Display Headline
FDA aims for tighter regulation of diagnostic tests
Display Headline
FDA aims for tighter regulation of diagnostic tests
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica

Role of food allergy testing in EOE unclear

Article Type
Changed
Display Headline
Role of food allergy testing in EOE unclear

The role of food allergy testing in the evaluation and treatment of patients with eosinophilic esophagitis is not yet clear, according to a study by Dr. Seema Sharma Aceves.

The report appears in the August issue of Clinical Gastroenterology and Hepatology (doi: org/10.1016/j.cgh.2013.09.007).

©Julián Rovagnati/Fotolia.com
An argument in favor of food allergy testing is that patients will not have to avoid so many foods when their own individual triggers are identified.

Current data suggest, but do not definitively establish, that testing for food allergies is a reasonable approach for beginning to construct an elimination diet in children with EOE, but the data are inadequate to support that strategy in adults with the disorder, she said.

It is clear that food antigens function as triggers that both induce EOE in the first place and also exacerbate the condition once it is established. And removing food antigens from the diet resolves EOE, improving both endoscopic and histologic features, in more than 60% of adults and children.

But most large studies of food elimination diets have involved only children. "This type of large cohort data does not currently exist for the adult population, and smaller studies have not demonstrated success rates that mirror the pediatric data," Dr. Aceves said.

There are several reasons why an empiric elimination diet, which simply removes the six most allergenic food types from the diet, can actually be superior to testing each patient for the specific food types that trigger his or her EOE and then removing only those items from the diet.

First, simply removing these six food types – dairy, egg, soy, wheat, peanuts/tree nuts, and fish/shellfish – usually induces the same response rate as does the more complicated process of food allergy testing. It also spares patients the anxiety and discomfort of testing.

Second, testing for milk allergy notoriously yields a high rate of false-negative results.

Third, food-specific IgE can be caused by cross-reactivity with environmental allergens. For example, a patient with a respiratory allergy to grass can test positive for food allergy to wheat. In general, EOE patients are highly atopic and tend to be sensitized to multiple food and aeroallergens, she said.

And lastly, food allergy testing may reveal a food trigger but doesn’t address the need to perform endoscopy and biopsy after suspected triggers are eliminated from the diet and after they are eventually reintroduced, said Dr. Aceves of the division of allergy and immunology at Rady Children’s Hospital, San Diego.

An argument in favor of food allergy testing is that patients will not have to avoid so many foods when their own individual triggers are identified. In one study of children, those placed on an empiric elimination diet had to eliminate eight entire food groups, with numerous different foods falling under the general categories of peanuts/tree nuts and fish/shellfish. In contrast, children who eliminated only those items identified on testing had to eliminate an average of three food groups.

Food elimination diets "should be applied judiciously" because there is always the risk that patients will lose their tolerance for a food when it has been avoided for a long period of time. Sometimes patients are sensitized to a food but tolerate it because they have very low but steady exposures that allow the body to adapt to it. When that food is completely eliminated for a period of time and then reintroduced, it can trigger a severe allergic reaction and anaphylaxis.

Before reintroducing an allergenic food that has been eliminated from the diet, gastroenterologists may want to test first for a possible hypersensitivity reaction. Alternatively, the food can be reintroduced in a controlled setting such as an allergist’s office, where the staff can recognize and respond to anaphylaxis, and the necessary medications and equipment are readily available, Dr. Aceves said.

Some diagnostic tools that have recently become available for food allergy testing but have not yet been systematically assessed for identifying food triggers in EOE may eventually prove useful. These include peptide microarrays that gauge the repertoire of IgE in patient serum, component-resolved diagnostic testing that assesses which epitopes within a food antigen are recognized by patient serum, and assays that analyze either the release or the activation of basophils in the periphery.

Finally, the recent finding that food-specific, CD4-positive, IL-5-producing T cells can be found in the peripheral blood is intriguing, Dr. Aceves said. If these cells are found to exist in the esophagus as well, then assays for such peripheral T cells might also function as markers for EOE food triggers.

 

 

This work was supported by the National Institute of Allergy and Infectious Diseases. Dr. Aceves reported no financial conflicts of interest.

References

Author and Disclosure Information

Publications
Topics
Legacy Keywords
food allergy testing, eosinophilic esophagitis, Dr. Seema Sharma Aceves, gastroenterology,
Sections
Author and Disclosure Information

Author and Disclosure Information

The role of food allergy testing in the evaluation and treatment of patients with eosinophilic esophagitis is not yet clear, according to a study by Dr. Seema Sharma Aceves.

The report appears in the August issue of Clinical Gastroenterology and Hepatology (doi: org/10.1016/j.cgh.2013.09.007).

©Julián Rovagnati/Fotolia.com
An argument in favor of food allergy testing is that patients will not have to avoid so many foods when their own individual triggers are identified.

Current data suggest, but do not definitively establish, that testing for food allergies is a reasonable approach for beginning to construct an elimination diet in children with EOE, but the data are inadequate to support that strategy in adults with the disorder, she said.

It is clear that food antigens function as triggers that both induce EOE in the first place and also exacerbate the condition once it is established. And removing food antigens from the diet resolves EOE, improving both endoscopic and histologic features, in more than 60% of adults and children.

But most large studies of food elimination diets have involved only children. "This type of large cohort data does not currently exist for the adult population, and smaller studies have not demonstrated success rates that mirror the pediatric data," Dr. Aceves said.

There are several reasons why an empiric elimination diet, which simply removes the six most allergenic food types from the diet, can actually be superior to testing each patient for the specific food types that trigger his or her EOE and then removing only those items from the diet.

First, simply removing these six food types – dairy, egg, soy, wheat, peanuts/tree nuts, and fish/shellfish – usually induces the same response rate as does the more complicated process of food allergy testing. It also spares patients the anxiety and discomfort of testing.

Second, testing for milk allergy notoriously yields a high rate of false-negative results.

Third, food-specific IgE can be caused by cross-reactivity with environmental allergens. For example, a patient with a respiratory allergy to grass can test positive for food allergy to wheat. In general, EOE patients are highly atopic and tend to be sensitized to multiple food and aeroallergens, she said.

And lastly, food allergy testing may reveal a food trigger but doesn’t address the need to perform endoscopy and biopsy after suspected triggers are eliminated from the diet and after they are eventually reintroduced, said Dr. Aceves of the division of allergy and immunology at Rady Children’s Hospital, San Diego.

An argument in favor of food allergy testing is that patients will not have to avoid so many foods when their own individual triggers are identified. In one study of children, those placed on an empiric elimination diet had to eliminate eight entire food groups, with numerous different foods falling under the general categories of peanuts/tree nuts and fish/shellfish. In contrast, children who eliminated only those items identified on testing had to eliminate an average of three food groups.

Food elimination diets "should be applied judiciously" because there is always the risk that patients will lose their tolerance for a food when it has been avoided for a long period of time. Sometimes patients are sensitized to a food but tolerate it because they have very low but steady exposures that allow the body to adapt to it. When that food is completely eliminated for a period of time and then reintroduced, it can trigger a severe allergic reaction and anaphylaxis.

Before reintroducing an allergenic food that has been eliminated from the diet, gastroenterologists may want to test first for a possible hypersensitivity reaction. Alternatively, the food can be reintroduced in a controlled setting such as an allergist’s office, where the staff can recognize and respond to anaphylaxis, and the necessary medications and equipment are readily available, Dr. Aceves said.

Some diagnostic tools that have recently become available for food allergy testing but have not yet been systematically assessed for identifying food triggers in EOE may eventually prove useful. These include peptide microarrays that gauge the repertoire of IgE in patient serum, component-resolved diagnostic testing that assesses which epitopes within a food antigen are recognized by patient serum, and assays that analyze either the release or the activation of basophils in the periphery.

Finally, the recent finding that food-specific, CD4-positive, IL-5-producing T cells can be found in the peripheral blood is intriguing, Dr. Aceves said. If these cells are found to exist in the esophagus as well, then assays for such peripheral T cells might also function as markers for EOE food triggers.

 

 

This work was supported by the National Institute of Allergy and Infectious Diseases. Dr. Aceves reported no financial conflicts of interest.

The role of food allergy testing in the evaluation and treatment of patients with eosinophilic esophagitis is not yet clear, according to a study by Dr. Seema Sharma Aceves.

The report appears in the August issue of Clinical Gastroenterology and Hepatology (doi: org/10.1016/j.cgh.2013.09.007).

©Julián Rovagnati/Fotolia.com
An argument in favor of food allergy testing is that patients will not have to avoid so many foods when their own individual triggers are identified.

Current data suggest, but do not definitively establish, that testing for food allergies is a reasonable approach for beginning to construct an elimination diet in children with EOE, but the data are inadequate to support that strategy in adults with the disorder, she said.

It is clear that food antigens function as triggers that both induce EOE in the first place and also exacerbate the condition once it is established. And removing food antigens from the diet resolves EOE, improving both endoscopic and histologic features, in more than 60% of adults and children.

But most large studies of food elimination diets have involved only children. "This type of large cohort data does not currently exist for the adult population, and smaller studies have not demonstrated success rates that mirror the pediatric data," Dr. Aceves said.

There are several reasons why an empiric elimination diet, which simply removes the six most allergenic food types from the diet, can actually be superior to testing each patient for the specific food types that trigger his or her EOE and then removing only those items from the diet.

First, simply removing these six food types – dairy, egg, soy, wheat, peanuts/tree nuts, and fish/shellfish – usually induces the same response rate as does the more complicated process of food allergy testing. It also spares patients the anxiety and discomfort of testing.

Second, testing for milk allergy notoriously yields a high rate of false-negative results.

Third, food-specific IgE can be caused by cross-reactivity with environmental allergens. For example, a patient with a respiratory allergy to grass can test positive for food allergy to wheat. In general, EOE patients are highly atopic and tend to be sensitized to multiple food and aeroallergens, she said.

And lastly, food allergy testing may reveal a food trigger but doesn’t address the need to perform endoscopy and biopsy after suspected triggers are eliminated from the diet and after they are eventually reintroduced, said Dr. Aceves of the division of allergy and immunology at Rady Children’s Hospital, San Diego.

An argument in favor of food allergy testing is that patients will not have to avoid so many foods when their own individual triggers are identified. In one study of children, those placed on an empiric elimination diet had to eliminate eight entire food groups, with numerous different foods falling under the general categories of peanuts/tree nuts and fish/shellfish. In contrast, children who eliminated only those items identified on testing had to eliminate an average of three food groups.

Food elimination diets "should be applied judiciously" because there is always the risk that patients will lose their tolerance for a food when it has been avoided for a long period of time. Sometimes patients are sensitized to a food but tolerate it because they have very low but steady exposures that allow the body to adapt to it. When that food is completely eliminated for a period of time and then reintroduced, it can trigger a severe allergic reaction and anaphylaxis.

Before reintroducing an allergenic food that has been eliminated from the diet, gastroenterologists may want to test first for a possible hypersensitivity reaction. Alternatively, the food can be reintroduced in a controlled setting such as an allergist’s office, where the staff can recognize and respond to anaphylaxis, and the necessary medications and equipment are readily available, Dr. Aceves said.

Some diagnostic tools that have recently become available for food allergy testing but have not yet been systematically assessed for identifying food triggers in EOE may eventually prove useful. These include peptide microarrays that gauge the repertoire of IgE in patient serum, component-resolved diagnostic testing that assesses which epitopes within a food antigen are recognized by patient serum, and assays that analyze either the release or the activation of basophils in the periphery.

Finally, the recent finding that food-specific, CD4-positive, IL-5-producing T cells can be found in the peripheral blood is intriguing, Dr. Aceves said. If these cells are found to exist in the esophagus as well, then assays for such peripheral T cells might also function as markers for EOE food triggers.

 

 

This work was supported by the National Institute of Allergy and Infectious Diseases. Dr. Aceves reported no financial conflicts of interest.

References

References

Publications
Publications
Topics
Article Type
Display Headline
Role of food allergy testing in EOE unclear
Display Headline
Role of food allergy testing in EOE unclear
Legacy Keywords
food allergy testing, eosinophilic esophagitis, Dr. Seema Sharma Aceves, gastroenterology,
Legacy Keywords
food allergy testing, eosinophilic esophagitis, Dr. Seema Sharma Aceves, gastroenterology,
Sections
Article Source

FROM CLINICAL GASTROENTEROLOGY AND HEPATOLOGY

PURLs Copyright

Inside the Article

Myelodysplastic Syndromes

Article Type
Changed
Display Headline
Myelodysplastic Syndromes

Myelodysplastic syndromes (MDS) are a spectrum of clonal myeloid disorders characterized by ineffective hematopoiesis, cytopenias, qualitative disorders of blood cells, clonal chromosomal abnormalities, and the potential for clonal evolution to acute myeloid leukemia (AML). In this review, we discuss the various pathogenic conditions included in the spectrum of MDS and the associated risk stratification for these conditions. We further discuss the treatment recommendations based on the risk status and the expected prognosis.

To read the full article in PDF:

Click here

Article PDF
Issue
Hospital Physician: Hematology/Oncology (9)3
Publications
Topics
Page Number
1-13
Sections
Article PDF
Article PDF

Myelodysplastic syndromes (MDS) are a spectrum of clonal myeloid disorders characterized by ineffective hematopoiesis, cytopenias, qualitative disorders of blood cells, clonal chromosomal abnormalities, and the potential for clonal evolution to acute myeloid leukemia (AML). In this review, we discuss the various pathogenic conditions included in the spectrum of MDS and the associated risk stratification for these conditions. We further discuss the treatment recommendations based on the risk status and the expected prognosis.

To read the full article in PDF:

Click here

Myelodysplastic syndromes (MDS) are a spectrum of clonal myeloid disorders characterized by ineffective hematopoiesis, cytopenias, qualitative disorders of blood cells, clonal chromosomal abnormalities, and the potential for clonal evolution to acute myeloid leukemia (AML). In this review, we discuss the various pathogenic conditions included in the spectrum of MDS and the associated risk stratification for these conditions. We further discuss the treatment recommendations based on the risk status and the expected prognosis.

To read the full article in PDF:

Click here

Issue
Hospital Physician: Hematology/Oncology (9)3
Issue
Hospital Physician: Hematology/Oncology (9)3
Page Number
1-13
Page Number
1-13
Publications
Publications
Topics
Article Type
Display Headline
Myelodysplastic Syndromes
Display Headline
Myelodysplastic Syndromes
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Article PDF Media

Primary Brain Tumors

Article Type
Changed
Display Headline
Primary Brain Tumors

Series Editor: Arthur T. Skarin, MD, FACP, FCCP

Primary central nervous system tumors are relatively rare, but they can cause significant morbidity. They are also among the most lethal of all neoplasms. Brain tumors are the second most common cause of death due to intracranial disease, second only to stroke. The estimated annual incidence of primary brain tumors is approximately 21 per 100,000 individuals in the United States. The incidence of brain tumors varies by gender, age, race, ethnicity, and geography and has increased over time. Gliomas and germ cell tumors are more common in men, whereas meningiomas are twice as common in women. The only validated environmental risk factor for primary brain tumors is exposure to ionizing radiation.

To read the full article in PDF:

Click here

Article PDF
Issue
Hospital Physician: Hematology/Oncology (10)2
Publications
Topics
Page Number
2-20
Sections
Article PDF
Article PDF

Series Editor: Arthur T. Skarin, MD, FACP, FCCP

Primary central nervous system tumors are relatively rare, but they can cause significant morbidity. They are also among the most lethal of all neoplasms. Brain tumors are the second most common cause of death due to intracranial disease, second only to stroke. The estimated annual incidence of primary brain tumors is approximately 21 per 100,000 individuals in the United States. The incidence of brain tumors varies by gender, age, race, ethnicity, and geography and has increased over time. Gliomas and germ cell tumors are more common in men, whereas meningiomas are twice as common in women. The only validated environmental risk factor for primary brain tumors is exposure to ionizing radiation.

To read the full article in PDF:

Click here

Series Editor: Arthur T. Skarin, MD, FACP, FCCP

Primary central nervous system tumors are relatively rare, but they can cause significant morbidity. They are also among the most lethal of all neoplasms. Brain tumors are the second most common cause of death due to intracranial disease, second only to stroke. The estimated annual incidence of primary brain tumors is approximately 21 per 100,000 individuals in the United States. The incidence of brain tumors varies by gender, age, race, ethnicity, and geography and has increased over time. Gliomas and germ cell tumors are more common in men, whereas meningiomas are twice as common in women. The only validated environmental risk factor for primary brain tumors is exposure to ionizing radiation.

To read the full article in PDF:

Click here

Issue
Hospital Physician: Hematology/Oncology (10)2
Issue
Hospital Physician: Hematology/Oncology (10)2
Page Number
2-20
Page Number
2-20
Publications
Publications
Topics
Article Type
Display Headline
Primary Brain Tumors
Display Headline
Primary Brain Tumors
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Article PDF Media