The Journal of Family Practice is a peer-reviewed and indexed journal that provides its 95,000 family physician readers with timely, practical, and evidence-based information that they can immediately put into practice. Research and applied evidence articles, plus patient-oriented departments like Practice Alert, PURLs, and Clinical Inquiries can be found in print and at jfponline.com. The Web site, which logs an average of 125,000 visitors every month, also offers audiocasts by physician specialists and interactive features like Instant Polls and Photo Rounds Friday—a weekly diagnostic puzzle.

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Proclivity ID
18805001
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Citation Name
J Fam Pract
Negative Keywords
gaming
gambling
compulsive behaviors
ammunition
assault rifle
black jack
Boko Haram
bondage
child abuse
cocaine
Daech
drug paraphernalia
explosion
gun
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ISIL
ISIS
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Is diabetes distress on your radar screen?

Article Type
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Tue, 05/03/2022 - 15:31
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Is diabetes distress on your radar screen?
 

Managing diabetes is a complex undertaking, with an extensive regimen of self-care—including regular exercise, meal planning, blood glucose monitoring, medication scheduling, and multiple visits—that is critically linked to glycemic control and the prevention of complications. Incorporating all of these elements into daily life can be daunting.1-3

In fact, nearly half of US adults with diabetes fail to meet the recommended targets.4 This leads to frustration, which often manifests in psychosocial problems that further hamper efforts to manage the disease.5-10 The most notable is a psychosocial disorder known as diabetes distress, which affects close to 45% of those with diabetes.11,12

It is important to note that diabetes distress is not a psychiatric disorder;13 rather, it is a broad affective reaction to the stress of living with this chronic and complex disease.14,15 By negatively affecting adherence to a self-care regimen, diabetes distress contributes to worsening glycemic control and increasing morbidity.16-18

Recognizing that about 80% of those with diabetes are treated in primary care settings,19 we wrote this review to call your attention to diabetes distress, alert you to brief screening tools that can easily be incorporated into clinic visits, and offer guidance in matching proposed interventions to the aspects of diabetes self-management that cause patients the greatest distress.

Diabetes distress: What it is, what it’s not

For patients with type 2 diabetes, diabetes distress centers around 4 main issues:

  • frustration with the demands of self-care;
  • apprehension about the future and the possibility of developing serious complications;
  • concern about both the quality and the cost of required medical care; and
  • perceived lack of support from family and/or friends.11,12,20

As mentioned earlier, diabetes distress is not a psychiatric condition and should not be confused with major depressive disorder (MDD). Here’s help in telling the difference.

Unlike major depressive disorder, diabetes distress has a specific cause—diabetes—and can best be understood as an emotional response to a demanding health condition.

For starters, a diagnosis of depression is symptom-based.13 MDD requires the presence of at least 5 of the 9 symptoms defined by the Diagnostic and Statistical Manual of Mental Disorders, Fifth ed. (DSM-5)—eg, persistent feelings of worthlessness or guilt, sleep disturbances, lack of interest in normal activities—for at least 2 weeks.21 What’s more, the diagnostic criteria for MDD do not specify a cause or disease process. Nor do they distinguish between a pathological response and an expected reaction to a stressful life event.22 Further, depression measures reflect symptoms (eg, hyperglycemia), as well as stressful experiences resulting from diabetes self-care, which may contribute to the high rate of false positives or incorrect diagnoses of MDD and missed diagnoses of diabetes distress.23

 

 

 

Unlike MDD, diabetes distress has a specific cause—diabetes—and can best be understood as an emotional response to a demanding health condition.13 And, because the source of the problem is identified, diabetes distress can be treated with specific interventions targeting the areas causing the highest levels of stress.

When a psychiatric condition and diabetes distress overlap

MDD, anxiety disorders, and diabetes distress are all common in patients with diabetes,24 and the co-occurrence of a psychiatric disorder and diabetes distress is high.25 Thus, it is important not only to identify cases of diabetes distress but also to consider comorbid depression and/or anxiety in patients with diabetes distress.

More often, though, it is the other way around, according to the Distress and Depression in Diabetes (3D) study. The researchers recently found that 84% of patients with moderate or high diabetes distress did not fulfill the criteria for MDD, but that 67% of diabetes patients with MDD also had moderate or high diabetes distress.13,15,17,25

The data highlight the importance of screening patients with a dual diagnosis of diabetes and MDD for diabetes distress. Keep in mind that individuals diagnosed with both diabetes distress and a comorbid psychiatric condition may require more complex and intensive treatment than those with either diabetes distress or MDD alone.25

Screening for diabetes distress

Diabetes distress can be easily assessed using one of several patient-reported outcome measures. Six validated measures, ranging in length from one to 28 questions, are designed for use in primary care (TABLE).26-30 Some of the measures are easily accessible online; others require subscription to MEDLINE.

 

 

 

Problem Areas in Diabetes (PAID): There are 3 versions of PAID—a 20-item screen assessing a broad range of feelings related to living with diabetes and its treatment, a 5-item version (PAID-5) with high rates of sensitivity (95%) and specificity (89%), and a single-item test (PAID-1) that is highly correlated with the longer version.26,27

Diabetes Distress Scale (DDS): This tool is available in a 17-item measure assessing diabetes distress as it relates to the emotional burden, physician-related distress, regimen-related distress, and interpersonal distress.28 DDS is also available in a short form (DDS-2) with 2 items29 and a 28-item scale specifically for patients with type 1 diabetes.30 T1-DDS, the only diabetes distress measure focused on this particular patient population, assesses the 7 sources of distress found to be common among adults with type 1 diabetes: powerlessness, negative social perceptions, physician distress, friend/family distress, hypoglycemia distress, management distress, and eating distress.

Studies have shown that not only do those with type 1 diabetes experience different stressors compared with their type 2 counterparts, but that they tend to experience distress differently. For patients with type 1 diabetes, for example, powerlessness ranked as the highest source of distress, followed by eating distress and hypoglycemia distress. These sources of distress differ from the regimen distress, emotional burden, interpersonal distress, and physician distress identified by those with type 2 diabetes.30

How to respond to diabetes distress

Diabetes distress is easier to identify than to successfully treat. Few validated treatments for diabetes distress exist and, to our knowledge, only 2 studies have assessed interventions aimed at reduction of such distress.31,32

The REDEEM trial31 recruited adults with type 2 diabetes and diabetes distress to participate in a 12-month randomized controlled trial (RCT). The trial had 3 arms, comparing the effectiveness of a computer-assisted self-management (CASM) program alone, a CASM program plus in-person diabetes distress-specific problem-solving therapy, and a computer-assisted minimally supportive intervention. The main outcomes included diabetes distress (using the DDS scale and subscales), along with self-management behaviors and HbA1c.

Participants in all 3 arms showed significant reductions in total diabetes distress and improvements in self-management behaviors, with no significant differences among the groups. No differences in HbA1c were found. However, those in the CASM program plus distress-specific therapy arm showed a larger reduction in regimen distress compared with the other 2 groups.31

The DIAMOS trial32 recruited adults who had type 1 or type 2 diabetes, diabetes distress, and subclinical depressive symptoms for a 2-arm RCT. One group underwent cognitive behavioral interventions, while the controls had standard group-based diabetes education. The main outcomes included diabetes distress (measured via the PAID scale), depressive symptoms, well-being, diabetes self-care, diabetes acceptance, satisfaction with diabetes treatment, HbA1c, and subclinical inflammation.

Major depressive disorder, anxiety disorders, and diabetes distress are all common in patients with diabetes.

The intervention group showed greater improvement in diabetes distress and depressive symptoms compared with the control group, but no differences in well-being, self-care, treatment satisfaction, HbA1c, or subclinical inflammation were observed.32

 

 

 

Both studies support the use of problem-solving therapy and cognitive behavioral interventions for patients with diabetes distress. Future research should evaluate the effectiveness of these interventions in the primary care setting.

What else to offer when challenges mount?

Diabetes is a progressive disease, and most patients experience multiple challenges over time. These typically include complications and comorbidities, physical limitations, polypharmacy, hypoglycemia, and cognitive impairment, as well as changes in everything from medication and lifestyle to insurance coverage and social support.33,34 All increase the risk for diabetes distress, as well as related psychiatric conditions.

Eighty-four percent of patients with moderate or high diabetes distress didn’t fulfill the criteria for MDD, but 67% of diabetes patients with MDD also had diabetes distress.

Aging and diabetes are independent risk factors for cognitive impairment, for example, and the presence of both increases this risk.35 What’s more, diabetes alone is associated with poorer executive function,36-38 the higher-level cognitive processes that allow individuals to engage in independent, purposeful, and flexible goal-related behaviors. Both poor cognitive function and impaired executive function interfere with the ability to perform self-care behaviors such as adjusting insulin doses, drawing insulin into a syringe, or dialing an insulin dose with an insulin pen.39 This in turn can lead to frustration and increase the likelihood of moderate to high diabetes distress.

Assessing diabetes distress in patients with cognitive impairment, poor executive functioning, or other psychological limitations is particularly difficult, however, as no diabetes distress measures take such deficits into account. Thus, primary care physicians without expertise in neuropsychology should consider referring patients with such problems to specialists for assessment.

Be alert to socioeconomic changes—in employment, insurance coverage, and living situations—that are not addressed in the screening tools.

The progressive nature of diabetes also highlights the need for primary care physicians to periodically screen for diabetes distress and engage in ongoing discussions about what type of care is best for individual patients, and why. When developing or updating treatment plans and making recommendations, it is crucial to consider the impact the treatment would likely have on the patient’s physical and mental health and to explicitly inquire about and acknowledge his or her values and preferences for care.40-44

 

 

 

It is also important to remain aware of socioeconomic changes—in employment, insurance coverage, and living situations, for example—which are not addressed in the screening tools.

Moderate to high diabetes distress scores, as well as individual items patients identify as “very serious” problems, represent clinical red flags that should be the focus of careful discussion during a medical visit. Patients with moderate to high distress should be referred to a therapist trained in cognitive behavioral therapy or problem-solving therapy. Physicians who lack access to such resources can incorporate cognitive behavioral and problem-solving techniques into patient discussion. (See “Directing help where it’s most needed.”) All patients should be referred to a certified diabetes educator—a key component of diabetes care.45,46

SIDEBAR
Directing help where it's most needed

CASE 1  ›
Conduct a behavioral experiment

Fred J, a 67-year-old diagnosed with type 2 diabetes 6 years ago, comes in for a diabetes check-up. He is a new patient who recently retired from his job as a contractor and was referred by a colleague. In response to a question about his diabetes management, Mr. J tells you he’s having a hard time.

“I get down on myself,” the patient says. “I take my medications every day at the exact same time, but when I test my sugar, it’s 260 or 280. I know I did this to myself. If only I weighed less, ate better, or exercised more.”

At other times, “I think, 'Why bother?'” Mr. J adds. “I feel like there’s nothing I can do to make it better.”

The DDS-2 screen you gave Mr. J bears out his high level of distress and his fear of complications. He tells you about an aunt who “had diabetes like me and had to go on dialysis, then died 2 years later.” When you ask what he fears most, Mr. J says he worries about kidney failure. “I don’t want to go on dialysis,” he insists.

You take the opportunity to point out that nephropathy is not inevitable and that he can perform self-care behaviors now that will prevent or delay kidney complications.

You also decide to try a cognitive behavioral technique in an attempt to change his thought process. You ask Mr. J to agree to a week-long behavioral experiment to examine the effect of walking for 30 minutes each day.

He agrees. You advise him to write down his predictions before he begins the experiment and then to keep a log, checking and recording his glucose levels before and after each walk. You schedule a follow-up visit to discuss the results, hoping that a reduction in blood glucose levels will convince Mr. J that exercise is beneficial to his diabetes.

CASE 2  ›
Identify the problem; brainstorm with the patient

Susan T, a 46-year-old with a husband and 2 teenage children, comes in for her 3-month diabetes check-up. At her last visit, she expressed concerns about her family’s lack of cooperation as she struggled to change her diet. This time, she appears frustrated and distraught.

Your nurse administered the PAID-5 while Ms. T was in the waiting room and entered her score—8, indicating high diabetes distress—in the electronic medical record. You ask Ms. T what’s happening, knowing that encouraging her to verbalize her feelings is a way to increase her trust and help alleviate her concerns.

You also try the following problem-solving technique:

Define the problem. Ms. T is having a hard time maintaining a healthy diet. Her husband and children refuse to eat the healthy meals she prepares and want her to cook separate dinners for them.

Identify challenges. The patient works full-time and does not have the time or energy to cook separate meals. In addition, she is upset by her family’s lack of support in her efforts to control her disease.

Brainstorm multiple solutions:

1) Ms. T can prepare all of her own meals for the work week on Sunday, then cook for the others when she returns from work.

2) Her husband and children can make their own dinner if they do not want to eat the healthier meals she prepares.

3) The patient can join a diabetes support group where she will meet, and possibly learn from, other patients who may be struggling with diabetes self-care.

4) Ms. T can ask her husband and children to come to her next diabetes check-up so they can learn about the importance of family support in diabetes management directly from you.

5) The patient’s family can receive information about a healthy diabetes diet from a certified diabetes educator.

Decide on appropriate solutions. The patient agrees to try and prepare her weekday meals on Sunday so that she is not tempted to eat less healthy options. She also agrees to bring her family to her next diabetes check-up and to diabetes education classes.

CORRESPONDENCE
Elizabeth A. Beverly, PhD, Department of Family Medicine, Ohio University Heritage College of Osteopathic Medicine, 35 W. Green Drive, Athens, OH 45701; [email protected].

References

1. Gafarian CT, Heiby EM, Blair P, et al. The diabetes time management questionnaire. Diabetes Educator. 1999;25:585-592.

2. Wdowik MJ, Kendall PA, Harris MA. College students with diabetes: using focus groups and interviews to determine psychosocial issues and barriers to control. Diabetes Educator. 1997;23:558-562.

3. Rubin RR. Psychological issues and treatment for people with diabetes. J Clin Psych. 2001;57:457-478.

4. Ali MK, Bullard KM, Gregg EW. Achievement of goals in US diabetes care, 1999-2010. New Engl J Med. 2013;369:287-288.

5. Lloyd CE, Smith J, Weinger K. Stress and diabetes: Review of the links. Diabetes Spectrum. 2005;18:121-127.

6. Weinger K. Psychosocial issues and self-care. Am J Nurs. 2007;107(6 suppl): S34-S38.

7. Weinger K, Jacobson AM. Psychosocial and quality of life correlates of glycemic control during intensive treatment of type 1 diabetes. Patient Education Counseling. 2001;42:123-131.

8. Albright TL, Parchman M, Burge SK. Predictors of self-care behavior in adults with type 2 diabetes: an RRNeST study. Fam Med. 2001;33:354-360.

9. Gonzalez JS, Safren SA, Cagliero E, et al. Depression, self-care, and medication adherence in type 2 diabetes: relationships across the full range of symptom severity. Diabetes Care. 2007;30:2222-2227.

10. Gonzalez JS, Safren SA, Delahanty LM, et al. Symptoms of depression prospectively predict poorer self-care in patients with Type 2 diabetes. Diabetic Med. 2008;25:1102-1107.

11. Nicolucci A, Kovacs Burns K, Holt RI, et al. Diabetes Attitudes, Wishes and Needs second study (DAWN2): cross-national benchmarking of diabetes-related psychosocial outcomes for people with diabetes. Diabetic Med. 2013;30:767-777.

12. Fisher L, Hessler DM, Polonsky W, et al. When is diabetes distress clinically meaningful?: establishing cut points for the Diabetes Distress Scale. Diabetes Care. 2012;35:259-264.

13. Fisher L, Gonzalez JS, Polonsky WH. The confusing tale of depression and distress in patients with diabetes: a call for greater clarity and precision. Diabetic Med. 2014;31:764-772.

14. Fisher L, Mullan JT, Skaff MM, et al. Predicting diabetes distress in patients with Type 2 diabetes: a longitudinal study. Diabetic Med. 2009;26:622-627.

15. Fisher L, Skaff MM, Mullan JT, et al. Clinical depression versus distress among patients with type 2 diabetes: not just a question of semantics. Diabetes Care. 2007;30:542-548.

16. Gonzalez JS, Delahanty LM, Safren SA, et al. Differentiating symptoms of depression from diabetes-specific distress: relationships with self-care in type 2 diabetes. Diabetologia. 2008;51:2822-1825.

17. Fisher L, Mullan JT, Arean P, et al. Diabetes distress but not clinical depression or depressive symptoms is associated with glycemic control in both cross-sectional and longitudinal analyses. Diabetes Care. 2010;33:23-28.

18. Fisher EB, Thorpe CT, Devellis BM, et al. Healthy coping, negative emotions, and diabetes management: a systematic review and appraisal. Diabetes Educator. 2007;33:1080-1103; 1104-1086.

19. Peterson KA, Radosevich DM, O’Connor PJ, et al. Improving diabetes care in practice: findings from the TRANSLATE trial. Diabetes Care. 2008;31:2238-2243.

20. Fisher L, Glasgow RE, Strycker LA. The relationship between diabetes distress and clinical depression with glycemic control among patients with type 2 diabetes. Diabetes Care. 2010;33:1034-1036.

 

 

21. Cole J, McGuffin P, Farmer AE. The classification of depression: are we still confused? Br J Psychiatr. 2008;192:83-85.

22. Wakefield JC. The concept of mental disorder. On the boundary between biological facts and social values. Am Psychologist. 1992;47:373-388.

23. Fisher L, Gonzalez JS, Polonsky WH. The confusing tale of depression and distress in patients with diabetes: a call for greater clarity and precision. Diabetic Med. 2014;31:764-772.

24. Ciechanowski PS, Katon WJ, Russo JE. Depression and diabetes: impact of depressive symptoms on adherence, function, and costs. Arch Intern Med. 2000;160:3278-3285.

25. Fisher L, Skaff MM, Mullan JT, et al. A longitudinal study of affective and anxiety disorders, depressive affect and diabetes distress in adults with Type 2 diabetes. Diabetic Med. 2008;25:1096-1101.

26. Polonsky WH, Anderson BJ, Lohrer PA, et al. Assessment of diabetes-related distress. Diabetes Care. 1995;18:754-760.

27. McGuire BE, Morrison TG, Hermanns N, et al. Short-form measures of diabetes-related emotional distress: the Problem Areas in Diabetes Scale (PAID)-5 and PAID-1. Diabetologia. 2010;53:66-69.

28. Polonsky WH, Fisher L, Earles J, et al. Assessing psychosocial distress in diabetes: development of the diabetes distress scale. Diabetes Care. 2005;28:626-631.

29. Fisher L, Glasgow RE, Mullan JT, et al. Development of a brief diabetes distress screening instrument. Ann Fam Med. 2008;6:246-252.

30. Fisher L, Polonsky WH, Hessler DM, et al. Understanding the sources of diabetes distress in adults with type 1 diabetes. J Diabetes Complications. 2015;29:572-577.

31. Fisher L, Hessler D, Glasgow RE, et al. REDEEM: a pragmatic trial to reduce diabetes distress. Diabetes Care. 2013;36:2551-2558.

32. Hermanns N, Schmitt A, Gahr A, et al. The effect of a Diabetes-Specific Cognitive Behavioral Treatment Program (DIAMOS) for patients with diabetes and subclinical depression: results of a randomized controlled trial. Diabetes Care. 2015;38:551-560.

33. Weinger K, Beverly EA, Smaldone A. Diabetes self-care and the older adult. Western J Nurs Res. 2014;36:1272-1298.

34. Beverly EA, Ritholz MD, Shepherd C, et al. The psychosocial challenges and care of older adults with diabetes: “can’t do what I used to do; can’t be who I once was.” Curr Diabetes Rep. 2016;16:48.

35. Lu FP, Lin KP, Kuo HK. Diabetes and the risk of multi-system aging phenotypes: a systematic review and meta-analysis. PloS One. 2009;4:e4144.

36. Thabit H, Kyaw TT, McDermott J, et al. Executive function and diabetes mellitus—a stone left unturned? Curr Diabetes Rev. 2012;8:109-115.

37. McNally K, Rohan J, Pendley JS, et al. Executive functioning, treatment adherence, and glycemic control in children with type 1 diabetes. Diabetes Care. 2010;33:1159-1162.

38. Rucker JL, McDowd JM, Kluding PM. Executive function and type 2 diabetes: putting the pieces together. Phys Ther. 2012;92:454-462.

39. Kirkman MS, Briscoe VJ, Clark N, et al. Diabetes in older adults. Diabetes Care. 2012;35:2650-2664.

40. Durso SC. Using clinical guidelines designed for older adults with diabetes mellitus and complex health status. JAMA. 2006;295:1935-1940.

41. Oftedal B, Karlsen B, Bru E. Life values and self-regulation behaviours among adults with type 2 diabetes. J Clin Nurs. 2010;19:2548-2556.

42. Morrow AS, Haidet P, Skinner J, et al. Integrating diabetes self-management with the health goals of older adults: a qualitative exploration. Patient Education Counseling. 2008;72:418-423.

43. Huang ES, Gorawara-Bhat R, Chin MH. Self-reported goals of older patients with type 2 diabetes mellitus. J Am Geriatr Soc. 2005;53:306-311.

44. Beverly EA, Wray LA, LaCoe CL, et al. Listening to older adults’ values and preferences for Type 2 diabetes care: a qualitative study. Diabetes Spectrum. 2014;27:44-49.

45. American Association of Diabetes Educators. Why refer for diabetes education? American Association of Diabetes Educators. Available at: https://www.diabeteseducator.org/practice/provider-resources/why-refer-for-diabetes-education. Accessed August 15, 2016.

46. Ismail K, Winkley K, Rabe-Hesketh S. Systematic review and meta-analysis of randomised controlled trials of psychological interventions to improve glycaemic control in patients with type 2 diabetes. Lancet. 2004;363:1589-1597.

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Managing diabetes is a complex undertaking, with an extensive regimen of self-care—including regular exercise, meal planning, blood glucose monitoring, medication scheduling, and multiple visits—that is critically linked to glycemic control and the prevention of complications. Incorporating all of these elements into daily life can be daunting.1-3

In fact, nearly half of US adults with diabetes fail to meet the recommended targets.4 This leads to frustration, which often manifests in psychosocial problems that further hamper efforts to manage the disease.5-10 The most notable is a psychosocial disorder known as diabetes distress, which affects close to 45% of those with diabetes.11,12

It is important to note that diabetes distress is not a psychiatric disorder;13 rather, it is a broad affective reaction to the stress of living with this chronic and complex disease.14,15 By negatively affecting adherence to a self-care regimen, diabetes distress contributes to worsening glycemic control and increasing morbidity.16-18

Recognizing that about 80% of those with diabetes are treated in primary care settings,19 we wrote this review to call your attention to diabetes distress, alert you to brief screening tools that can easily be incorporated into clinic visits, and offer guidance in matching proposed interventions to the aspects of diabetes self-management that cause patients the greatest distress.

Diabetes distress: What it is, what it’s not

For patients with type 2 diabetes, diabetes distress centers around 4 main issues:

  • frustration with the demands of self-care;
  • apprehension about the future and the possibility of developing serious complications;
  • concern about both the quality and the cost of required medical care; and
  • perceived lack of support from family and/or friends.11,12,20

As mentioned earlier, diabetes distress is not a psychiatric condition and should not be confused with major depressive disorder (MDD). Here’s help in telling the difference.

Unlike major depressive disorder, diabetes distress has a specific cause—diabetes—and can best be understood as an emotional response to a demanding health condition.

For starters, a diagnosis of depression is symptom-based.13 MDD requires the presence of at least 5 of the 9 symptoms defined by the Diagnostic and Statistical Manual of Mental Disorders, Fifth ed. (DSM-5)—eg, persistent feelings of worthlessness or guilt, sleep disturbances, lack of interest in normal activities—for at least 2 weeks.21 What’s more, the diagnostic criteria for MDD do not specify a cause or disease process. Nor do they distinguish between a pathological response and an expected reaction to a stressful life event.22 Further, depression measures reflect symptoms (eg, hyperglycemia), as well as stressful experiences resulting from diabetes self-care, which may contribute to the high rate of false positives or incorrect diagnoses of MDD and missed diagnoses of diabetes distress.23

 

 

 

Unlike MDD, diabetes distress has a specific cause—diabetes—and can best be understood as an emotional response to a demanding health condition.13 And, because the source of the problem is identified, diabetes distress can be treated with specific interventions targeting the areas causing the highest levels of stress.

When a psychiatric condition and diabetes distress overlap

MDD, anxiety disorders, and diabetes distress are all common in patients with diabetes,24 and the co-occurrence of a psychiatric disorder and diabetes distress is high.25 Thus, it is important not only to identify cases of diabetes distress but also to consider comorbid depression and/or anxiety in patients with diabetes distress.

More often, though, it is the other way around, according to the Distress and Depression in Diabetes (3D) study. The researchers recently found that 84% of patients with moderate or high diabetes distress did not fulfill the criteria for MDD, but that 67% of diabetes patients with MDD also had moderate or high diabetes distress.13,15,17,25

The data highlight the importance of screening patients with a dual diagnosis of diabetes and MDD for diabetes distress. Keep in mind that individuals diagnosed with both diabetes distress and a comorbid psychiatric condition may require more complex and intensive treatment than those with either diabetes distress or MDD alone.25

Screening for diabetes distress

Diabetes distress can be easily assessed using one of several patient-reported outcome measures. Six validated measures, ranging in length from one to 28 questions, are designed for use in primary care (TABLE).26-30 Some of the measures are easily accessible online; others require subscription to MEDLINE.

 

 

 

Problem Areas in Diabetes (PAID): There are 3 versions of PAID—a 20-item screen assessing a broad range of feelings related to living with diabetes and its treatment, a 5-item version (PAID-5) with high rates of sensitivity (95%) and specificity (89%), and a single-item test (PAID-1) that is highly correlated with the longer version.26,27

Diabetes Distress Scale (DDS): This tool is available in a 17-item measure assessing diabetes distress as it relates to the emotional burden, physician-related distress, regimen-related distress, and interpersonal distress.28 DDS is also available in a short form (DDS-2) with 2 items29 and a 28-item scale specifically for patients with type 1 diabetes.30 T1-DDS, the only diabetes distress measure focused on this particular patient population, assesses the 7 sources of distress found to be common among adults with type 1 diabetes: powerlessness, negative social perceptions, physician distress, friend/family distress, hypoglycemia distress, management distress, and eating distress.

Studies have shown that not only do those with type 1 diabetes experience different stressors compared with their type 2 counterparts, but that they tend to experience distress differently. For patients with type 1 diabetes, for example, powerlessness ranked as the highest source of distress, followed by eating distress and hypoglycemia distress. These sources of distress differ from the regimen distress, emotional burden, interpersonal distress, and physician distress identified by those with type 2 diabetes.30

How to respond to diabetes distress

Diabetes distress is easier to identify than to successfully treat. Few validated treatments for diabetes distress exist and, to our knowledge, only 2 studies have assessed interventions aimed at reduction of such distress.31,32

The REDEEM trial31 recruited adults with type 2 diabetes and diabetes distress to participate in a 12-month randomized controlled trial (RCT). The trial had 3 arms, comparing the effectiveness of a computer-assisted self-management (CASM) program alone, a CASM program plus in-person diabetes distress-specific problem-solving therapy, and a computer-assisted minimally supportive intervention. The main outcomes included diabetes distress (using the DDS scale and subscales), along with self-management behaviors and HbA1c.

Participants in all 3 arms showed significant reductions in total diabetes distress and improvements in self-management behaviors, with no significant differences among the groups. No differences in HbA1c were found. However, those in the CASM program plus distress-specific therapy arm showed a larger reduction in regimen distress compared with the other 2 groups.31

The DIAMOS trial32 recruited adults who had type 1 or type 2 diabetes, diabetes distress, and subclinical depressive symptoms for a 2-arm RCT. One group underwent cognitive behavioral interventions, while the controls had standard group-based diabetes education. The main outcomes included diabetes distress (measured via the PAID scale), depressive symptoms, well-being, diabetes self-care, diabetes acceptance, satisfaction with diabetes treatment, HbA1c, and subclinical inflammation.

Major depressive disorder, anxiety disorders, and diabetes distress are all common in patients with diabetes.

The intervention group showed greater improvement in diabetes distress and depressive symptoms compared with the control group, but no differences in well-being, self-care, treatment satisfaction, HbA1c, or subclinical inflammation were observed.32

 

 

 

Both studies support the use of problem-solving therapy and cognitive behavioral interventions for patients with diabetes distress. Future research should evaluate the effectiveness of these interventions in the primary care setting.

What else to offer when challenges mount?

Diabetes is a progressive disease, and most patients experience multiple challenges over time. These typically include complications and comorbidities, physical limitations, polypharmacy, hypoglycemia, and cognitive impairment, as well as changes in everything from medication and lifestyle to insurance coverage and social support.33,34 All increase the risk for diabetes distress, as well as related psychiatric conditions.

Eighty-four percent of patients with moderate or high diabetes distress didn’t fulfill the criteria for MDD, but 67% of diabetes patients with MDD also had diabetes distress.

Aging and diabetes are independent risk factors for cognitive impairment, for example, and the presence of both increases this risk.35 What’s more, diabetes alone is associated with poorer executive function,36-38 the higher-level cognitive processes that allow individuals to engage in independent, purposeful, and flexible goal-related behaviors. Both poor cognitive function and impaired executive function interfere with the ability to perform self-care behaviors such as adjusting insulin doses, drawing insulin into a syringe, or dialing an insulin dose with an insulin pen.39 This in turn can lead to frustration and increase the likelihood of moderate to high diabetes distress.

Assessing diabetes distress in patients with cognitive impairment, poor executive functioning, or other psychological limitations is particularly difficult, however, as no diabetes distress measures take such deficits into account. Thus, primary care physicians without expertise in neuropsychology should consider referring patients with such problems to specialists for assessment.

Be alert to socioeconomic changes—in employment, insurance coverage, and living situations—that are not addressed in the screening tools.

The progressive nature of diabetes also highlights the need for primary care physicians to periodically screen for diabetes distress and engage in ongoing discussions about what type of care is best for individual patients, and why. When developing or updating treatment plans and making recommendations, it is crucial to consider the impact the treatment would likely have on the patient’s physical and mental health and to explicitly inquire about and acknowledge his or her values and preferences for care.40-44

 

 

 

It is also important to remain aware of socioeconomic changes—in employment, insurance coverage, and living situations, for example—which are not addressed in the screening tools.

Moderate to high diabetes distress scores, as well as individual items patients identify as “very serious” problems, represent clinical red flags that should be the focus of careful discussion during a medical visit. Patients with moderate to high distress should be referred to a therapist trained in cognitive behavioral therapy or problem-solving therapy. Physicians who lack access to such resources can incorporate cognitive behavioral and problem-solving techniques into patient discussion. (See “Directing help where it’s most needed.”) All patients should be referred to a certified diabetes educator—a key component of diabetes care.45,46

SIDEBAR
Directing help where it's most needed

CASE 1  ›
Conduct a behavioral experiment

Fred J, a 67-year-old diagnosed with type 2 diabetes 6 years ago, comes in for a diabetes check-up. He is a new patient who recently retired from his job as a contractor and was referred by a colleague. In response to a question about his diabetes management, Mr. J tells you he’s having a hard time.

“I get down on myself,” the patient says. “I take my medications every day at the exact same time, but when I test my sugar, it’s 260 or 280. I know I did this to myself. If only I weighed less, ate better, or exercised more.”

At other times, “I think, 'Why bother?'” Mr. J adds. “I feel like there’s nothing I can do to make it better.”

The DDS-2 screen you gave Mr. J bears out his high level of distress and his fear of complications. He tells you about an aunt who “had diabetes like me and had to go on dialysis, then died 2 years later.” When you ask what he fears most, Mr. J says he worries about kidney failure. “I don’t want to go on dialysis,” he insists.

You take the opportunity to point out that nephropathy is not inevitable and that he can perform self-care behaviors now that will prevent or delay kidney complications.

You also decide to try a cognitive behavioral technique in an attempt to change his thought process. You ask Mr. J to agree to a week-long behavioral experiment to examine the effect of walking for 30 minutes each day.

He agrees. You advise him to write down his predictions before he begins the experiment and then to keep a log, checking and recording his glucose levels before and after each walk. You schedule a follow-up visit to discuss the results, hoping that a reduction in blood glucose levels will convince Mr. J that exercise is beneficial to his diabetes.

CASE 2  ›
Identify the problem; brainstorm with the patient

Susan T, a 46-year-old with a husband and 2 teenage children, comes in for her 3-month diabetes check-up. At her last visit, she expressed concerns about her family’s lack of cooperation as she struggled to change her diet. This time, she appears frustrated and distraught.

Your nurse administered the PAID-5 while Ms. T was in the waiting room and entered her score—8, indicating high diabetes distress—in the electronic medical record. You ask Ms. T what’s happening, knowing that encouraging her to verbalize her feelings is a way to increase her trust and help alleviate her concerns.

You also try the following problem-solving technique:

Define the problem. Ms. T is having a hard time maintaining a healthy diet. Her husband and children refuse to eat the healthy meals she prepares and want her to cook separate dinners for them.

Identify challenges. The patient works full-time and does not have the time or energy to cook separate meals. In addition, she is upset by her family’s lack of support in her efforts to control her disease.

Brainstorm multiple solutions:

1) Ms. T can prepare all of her own meals for the work week on Sunday, then cook for the others when she returns from work.

2) Her husband and children can make their own dinner if they do not want to eat the healthier meals she prepares.

3) The patient can join a diabetes support group where she will meet, and possibly learn from, other patients who may be struggling with diabetes self-care.

4) Ms. T can ask her husband and children to come to her next diabetes check-up so they can learn about the importance of family support in diabetes management directly from you.

5) The patient’s family can receive information about a healthy diabetes diet from a certified diabetes educator.

Decide on appropriate solutions. The patient agrees to try and prepare her weekday meals on Sunday so that she is not tempted to eat less healthy options. She also agrees to bring her family to her next diabetes check-up and to diabetes education classes.

CORRESPONDENCE
Elizabeth A. Beverly, PhD, Department of Family Medicine, Ohio University Heritage College of Osteopathic Medicine, 35 W. Green Drive, Athens, OH 45701; [email protected].

 

Managing diabetes is a complex undertaking, with an extensive regimen of self-care—including regular exercise, meal planning, blood glucose monitoring, medication scheduling, and multiple visits—that is critically linked to glycemic control and the prevention of complications. Incorporating all of these elements into daily life can be daunting.1-3

In fact, nearly half of US adults with diabetes fail to meet the recommended targets.4 This leads to frustration, which often manifests in psychosocial problems that further hamper efforts to manage the disease.5-10 The most notable is a psychosocial disorder known as diabetes distress, which affects close to 45% of those with diabetes.11,12

It is important to note that diabetes distress is not a psychiatric disorder;13 rather, it is a broad affective reaction to the stress of living with this chronic and complex disease.14,15 By negatively affecting adherence to a self-care regimen, diabetes distress contributes to worsening glycemic control and increasing morbidity.16-18

Recognizing that about 80% of those with diabetes are treated in primary care settings,19 we wrote this review to call your attention to diabetes distress, alert you to brief screening tools that can easily be incorporated into clinic visits, and offer guidance in matching proposed interventions to the aspects of diabetes self-management that cause patients the greatest distress.

Diabetes distress: What it is, what it’s not

For patients with type 2 diabetes, diabetes distress centers around 4 main issues:

  • frustration with the demands of self-care;
  • apprehension about the future and the possibility of developing serious complications;
  • concern about both the quality and the cost of required medical care; and
  • perceived lack of support from family and/or friends.11,12,20

As mentioned earlier, diabetes distress is not a psychiatric condition and should not be confused with major depressive disorder (MDD). Here’s help in telling the difference.

Unlike major depressive disorder, diabetes distress has a specific cause—diabetes—and can best be understood as an emotional response to a demanding health condition.

For starters, a diagnosis of depression is symptom-based.13 MDD requires the presence of at least 5 of the 9 symptoms defined by the Diagnostic and Statistical Manual of Mental Disorders, Fifth ed. (DSM-5)—eg, persistent feelings of worthlessness or guilt, sleep disturbances, lack of interest in normal activities—for at least 2 weeks.21 What’s more, the diagnostic criteria for MDD do not specify a cause or disease process. Nor do they distinguish between a pathological response and an expected reaction to a stressful life event.22 Further, depression measures reflect symptoms (eg, hyperglycemia), as well as stressful experiences resulting from diabetes self-care, which may contribute to the high rate of false positives or incorrect diagnoses of MDD and missed diagnoses of diabetes distress.23

 

 

 

Unlike MDD, diabetes distress has a specific cause—diabetes—and can best be understood as an emotional response to a demanding health condition.13 And, because the source of the problem is identified, diabetes distress can be treated with specific interventions targeting the areas causing the highest levels of stress.

When a psychiatric condition and diabetes distress overlap

MDD, anxiety disorders, and diabetes distress are all common in patients with diabetes,24 and the co-occurrence of a psychiatric disorder and diabetes distress is high.25 Thus, it is important not only to identify cases of diabetes distress but also to consider comorbid depression and/or anxiety in patients with diabetes distress.

More often, though, it is the other way around, according to the Distress and Depression in Diabetes (3D) study. The researchers recently found that 84% of patients with moderate or high diabetes distress did not fulfill the criteria for MDD, but that 67% of diabetes patients with MDD also had moderate or high diabetes distress.13,15,17,25

The data highlight the importance of screening patients with a dual diagnosis of diabetes and MDD for diabetes distress. Keep in mind that individuals diagnosed with both diabetes distress and a comorbid psychiatric condition may require more complex and intensive treatment than those with either diabetes distress or MDD alone.25

Screening for diabetes distress

Diabetes distress can be easily assessed using one of several patient-reported outcome measures. Six validated measures, ranging in length from one to 28 questions, are designed for use in primary care (TABLE).26-30 Some of the measures are easily accessible online; others require subscription to MEDLINE.

 

 

 

Problem Areas in Diabetes (PAID): There are 3 versions of PAID—a 20-item screen assessing a broad range of feelings related to living with diabetes and its treatment, a 5-item version (PAID-5) with high rates of sensitivity (95%) and specificity (89%), and a single-item test (PAID-1) that is highly correlated with the longer version.26,27

Diabetes Distress Scale (DDS): This tool is available in a 17-item measure assessing diabetes distress as it relates to the emotional burden, physician-related distress, regimen-related distress, and interpersonal distress.28 DDS is also available in a short form (DDS-2) with 2 items29 and a 28-item scale specifically for patients with type 1 diabetes.30 T1-DDS, the only diabetes distress measure focused on this particular patient population, assesses the 7 sources of distress found to be common among adults with type 1 diabetes: powerlessness, negative social perceptions, physician distress, friend/family distress, hypoglycemia distress, management distress, and eating distress.

Studies have shown that not only do those with type 1 diabetes experience different stressors compared with their type 2 counterparts, but that they tend to experience distress differently. For patients with type 1 diabetes, for example, powerlessness ranked as the highest source of distress, followed by eating distress and hypoglycemia distress. These sources of distress differ from the regimen distress, emotional burden, interpersonal distress, and physician distress identified by those with type 2 diabetes.30

How to respond to diabetes distress

Diabetes distress is easier to identify than to successfully treat. Few validated treatments for diabetes distress exist and, to our knowledge, only 2 studies have assessed interventions aimed at reduction of such distress.31,32

The REDEEM trial31 recruited adults with type 2 diabetes and diabetes distress to participate in a 12-month randomized controlled trial (RCT). The trial had 3 arms, comparing the effectiveness of a computer-assisted self-management (CASM) program alone, a CASM program plus in-person diabetes distress-specific problem-solving therapy, and a computer-assisted minimally supportive intervention. The main outcomes included diabetes distress (using the DDS scale and subscales), along with self-management behaviors and HbA1c.

Participants in all 3 arms showed significant reductions in total diabetes distress and improvements in self-management behaviors, with no significant differences among the groups. No differences in HbA1c were found. However, those in the CASM program plus distress-specific therapy arm showed a larger reduction in regimen distress compared with the other 2 groups.31

The DIAMOS trial32 recruited adults who had type 1 or type 2 diabetes, diabetes distress, and subclinical depressive symptoms for a 2-arm RCT. One group underwent cognitive behavioral interventions, while the controls had standard group-based diabetes education. The main outcomes included diabetes distress (measured via the PAID scale), depressive symptoms, well-being, diabetes self-care, diabetes acceptance, satisfaction with diabetes treatment, HbA1c, and subclinical inflammation.

Major depressive disorder, anxiety disorders, and diabetes distress are all common in patients with diabetes.

The intervention group showed greater improvement in diabetes distress and depressive symptoms compared with the control group, but no differences in well-being, self-care, treatment satisfaction, HbA1c, or subclinical inflammation were observed.32

 

 

 

Both studies support the use of problem-solving therapy and cognitive behavioral interventions for patients with diabetes distress. Future research should evaluate the effectiveness of these interventions in the primary care setting.

What else to offer when challenges mount?

Diabetes is a progressive disease, and most patients experience multiple challenges over time. These typically include complications and comorbidities, physical limitations, polypharmacy, hypoglycemia, and cognitive impairment, as well as changes in everything from medication and lifestyle to insurance coverage and social support.33,34 All increase the risk for diabetes distress, as well as related psychiatric conditions.

Eighty-four percent of patients with moderate or high diabetes distress didn’t fulfill the criteria for MDD, but 67% of diabetes patients with MDD also had diabetes distress.

Aging and diabetes are independent risk factors for cognitive impairment, for example, and the presence of both increases this risk.35 What’s more, diabetes alone is associated with poorer executive function,36-38 the higher-level cognitive processes that allow individuals to engage in independent, purposeful, and flexible goal-related behaviors. Both poor cognitive function and impaired executive function interfere with the ability to perform self-care behaviors such as adjusting insulin doses, drawing insulin into a syringe, or dialing an insulin dose with an insulin pen.39 This in turn can lead to frustration and increase the likelihood of moderate to high diabetes distress.

Assessing diabetes distress in patients with cognitive impairment, poor executive functioning, or other psychological limitations is particularly difficult, however, as no diabetes distress measures take such deficits into account. Thus, primary care physicians without expertise in neuropsychology should consider referring patients with such problems to specialists for assessment.

Be alert to socioeconomic changes—in employment, insurance coverage, and living situations—that are not addressed in the screening tools.

The progressive nature of diabetes also highlights the need for primary care physicians to periodically screen for diabetes distress and engage in ongoing discussions about what type of care is best for individual patients, and why. When developing or updating treatment plans and making recommendations, it is crucial to consider the impact the treatment would likely have on the patient’s physical and mental health and to explicitly inquire about and acknowledge his or her values and preferences for care.40-44

 

 

 

It is also important to remain aware of socioeconomic changes—in employment, insurance coverage, and living situations, for example—which are not addressed in the screening tools.

Moderate to high diabetes distress scores, as well as individual items patients identify as “very serious” problems, represent clinical red flags that should be the focus of careful discussion during a medical visit. Patients with moderate to high distress should be referred to a therapist trained in cognitive behavioral therapy or problem-solving therapy. Physicians who lack access to such resources can incorporate cognitive behavioral and problem-solving techniques into patient discussion. (See “Directing help where it’s most needed.”) All patients should be referred to a certified diabetes educator—a key component of diabetes care.45,46

SIDEBAR
Directing help where it's most needed

CASE 1  ›
Conduct a behavioral experiment

Fred J, a 67-year-old diagnosed with type 2 diabetes 6 years ago, comes in for a diabetes check-up. He is a new patient who recently retired from his job as a contractor and was referred by a colleague. In response to a question about his diabetes management, Mr. J tells you he’s having a hard time.

“I get down on myself,” the patient says. “I take my medications every day at the exact same time, but when I test my sugar, it’s 260 or 280. I know I did this to myself. If only I weighed less, ate better, or exercised more.”

At other times, “I think, 'Why bother?'” Mr. J adds. “I feel like there’s nothing I can do to make it better.”

The DDS-2 screen you gave Mr. J bears out his high level of distress and his fear of complications. He tells you about an aunt who “had diabetes like me and had to go on dialysis, then died 2 years later.” When you ask what he fears most, Mr. J says he worries about kidney failure. “I don’t want to go on dialysis,” he insists.

You take the opportunity to point out that nephropathy is not inevitable and that he can perform self-care behaviors now that will prevent or delay kidney complications.

You also decide to try a cognitive behavioral technique in an attempt to change his thought process. You ask Mr. J to agree to a week-long behavioral experiment to examine the effect of walking for 30 minutes each day.

He agrees. You advise him to write down his predictions before he begins the experiment and then to keep a log, checking and recording his glucose levels before and after each walk. You schedule a follow-up visit to discuss the results, hoping that a reduction in blood glucose levels will convince Mr. J that exercise is beneficial to his diabetes.

CASE 2  ›
Identify the problem; brainstorm with the patient

Susan T, a 46-year-old with a husband and 2 teenage children, comes in for her 3-month diabetes check-up. At her last visit, she expressed concerns about her family’s lack of cooperation as she struggled to change her diet. This time, she appears frustrated and distraught.

Your nurse administered the PAID-5 while Ms. T was in the waiting room and entered her score—8, indicating high diabetes distress—in the electronic medical record. You ask Ms. T what’s happening, knowing that encouraging her to verbalize her feelings is a way to increase her trust and help alleviate her concerns.

You also try the following problem-solving technique:

Define the problem. Ms. T is having a hard time maintaining a healthy diet. Her husband and children refuse to eat the healthy meals she prepares and want her to cook separate dinners for them.

Identify challenges. The patient works full-time and does not have the time or energy to cook separate meals. In addition, she is upset by her family’s lack of support in her efforts to control her disease.

Brainstorm multiple solutions:

1) Ms. T can prepare all of her own meals for the work week on Sunday, then cook for the others when she returns from work.

2) Her husband and children can make their own dinner if they do not want to eat the healthier meals she prepares.

3) The patient can join a diabetes support group where she will meet, and possibly learn from, other patients who may be struggling with diabetes self-care.

4) Ms. T can ask her husband and children to come to her next diabetes check-up so they can learn about the importance of family support in diabetes management directly from you.

5) The patient’s family can receive information about a healthy diabetes diet from a certified diabetes educator.

Decide on appropriate solutions. The patient agrees to try and prepare her weekday meals on Sunday so that she is not tempted to eat less healthy options. She also agrees to bring her family to her next diabetes check-up and to diabetes education classes.

CORRESPONDENCE
Elizabeth A. Beverly, PhD, Department of Family Medicine, Ohio University Heritage College of Osteopathic Medicine, 35 W. Green Drive, Athens, OH 45701; [email protected].

References

1. Gafarian CT, Heiby EM, Blair P, et al. The diabetes time management questionnaire. Diabetes Educator. 1999;25:585-592.

2. Wdowik MJ, Kendall PA, Harris MA. College students with diabetes: using focus groups and interviews to determine psychosocial issues and barriers to control. Diabetes Educator. 1997;23:558-562.

3. Rubin RR. Psychological issues and treatment for people with diabetes. J Clin Psych. 2001;57:457-478.

4. Ali MK, Bullard KM, Gregg EW. Achievement of goals in US diabetes care, 1999-2010. New Engl J Med. 2013;369:287-288.

5. Lloyd CE, Smith J, Weinger K. Stress and diabetes: Review of the links. Diabetes Spectrum. 2005;18:121-127.

6. Weinger K. Psychosocial issues and self-care. Am J Nurs. 2007;107(6 suppl): S34-S38.

7. Weinger K, Jacobson AM. Psychosocial and quality of life correlates of glycemic control during intensive treatment of type 1 diabetes. Patient Education Counseling. 2001;42:123-131.

8. Albright TL, Parchman M, Burge SK. Predictors of self-care behavior in adults with type 2 diabetes: an RRNeST study. Fam Med. 2001;33:354-360.

9. Gonzalez JS, Safren SA, Cagliero E, et al. Depression, self-care, and medication adherence in type 2 diabetes: relationships across the full range of symptom severity. Diabetes Care. 2007;30:2222-2227.

10. Gonzalez JS, Safren SA, Delahanty LM, et al. Symptoms of depression prospectively predict poorer self-care in patients with Type 2 diabetes. Diabetic Med. 2008;25:1102-1107.

11. Nicolucci A, Kovacs Burns K, Holt RI, et al. Diabetes Attitudes, Wishes and Needs second study (DAWN2): cross-national benchmarking of diabetes-related psychosocial outcomes for people with diabetes. Diabetic Med. 2013;30:767-777.

12. Fisher L, Hessler DM, Polonsky W, et al. When is diabetes distress clinically meaningful?: establishing cut points for the Diabetes Distress Scale. Diabetes Care. 2012;35:259-264.

13. Fisher L, Gonzalez JS, Polonsky WH. The confusing tale of depression and distress in patients with diabetes: a call for greater clarity and precision. Diabetic Med. 2014;31:764-772.

14. Fisher L, Mullan JT, Skaff MM, et al. Predicting diabetes distress in patients with Type 2 diabetes: a longitudinal study. Diabetic Med. 2009;26:622-627.

15. Fisher L, Skaff MM, Mullan JT, et al. Clinical depression versus distress among patients with type 2 diabetes: not just a question of semantics. Diabetes Care. 2007;30:542-548.

16. Gonzalez JS, Delahanty LM, Safren SA, et al. Differentiating symptoms of depression from diabetes-specific distress: relationships with self-care in type 2 diabetes. Diabetologia. 2008;51:2822-1825.

17. Fisher L, Mullan JT, Arean P, et al. Diabetes distress but not clinical depression or depressive symptoms is associated with glycemic control in both cross-sectional and longitudinal analyses. Diabetes Care. 2010;33:23-28.

18. Fisher EB, Thorpe CT, Devellis BM, et al. Healthy coping, negative emotions, and diabetes management: a systematic review and appraisal. Diabetes Educator. 2007;33:1080-1103; 1104-1086.

19. Peterson KA, Radosevich DM, O’Connor PJ, et al. Improving diabetes care in practice: findings from the TRANSLATE trial. Diabetes Care. 2008;31:2238-2243.

20. Fisher L, Glasgow RE, Strycker LA. The relationship between diabetes distress and clinical depression with glycemic control among patients with type 2 diabetes. Diabetes Care. 2010;33:1034-1036.

 

 

21. Cole J, McGuffin P, Farmer AE. The classification of depression: are we still confused? Br J Psychiatr. 2008;192:83-85.

22. Wakefield JC. The concept of mental disorder. On the boundary between biological facts and social values. Am Psychologist. 1992;47:373-388.

23. Fisher L, Gonzalez JS, Polonsky WH. The confusing tale of depression and distress in patients with diabetes: a call for greater clarity and precision. Diabetic Med. 2014;31:764-772.

24. Ciechanowski PS, Katon WJ, Russo JE. Depression and diabetes: impact of depressive symptoms on adherence, function, and costs. Arch Intern Med. 2000;160:3278-3285.

25. Fisher L, Skaff MM, Mullan JT, et al. A longitudinal study of affective and anxiety disorders, depressive affect and diabetes distress in adults with Type 2 diabetes. Diabetic Med. 2008;25:1096-1101.

26. Polonsky WH, Anderson BJ, Lohrer PA, et al. Assessment of diabetes-related distress. Diabetes Care. 1995;18:754-760.

27. McGuire BE, Morrison TG, Hermanns N, et al. Short-form measures of diabetes-related emotional distress: the Problem Areas in Diabetes Scale (PAID)-5 and PAID-1. Diabetologia. 2010;53:66-69.

28. Polonsky WH, Fisher L, Earles J, et al. Assessing psychosocial distress in diabetes: development of the diabetes distress scale. Diabetes Care. 2005;28:626-631.

29. Fisher L, Glasgow RE, Mullan JT, et al. Development of a brief diabetes distress screening instrument. Ann Fam Med. 2008;6:246-252.

30. Fisher L, Polonsky WH, Hessler DM, et al. Understanding the sources of diabetes distress in adults with type 1 diabetes. J Diabetes Complications. 2015;29:572-577.

31. Fisher L, Hessler D, Glasgow RE, et al. REDEEM: a pragmatic trial to reduce diabetes distress. Diabetes Care. 2013;36:2551-2558.

32. Hermanns N, Schmitt A, Gahr A, et al. The effect of a Diabetes-Specific Cognitive Behavioral Treatment Program (DIAMOS) for patients with diabetes and subclinical depression: results of a randomized controlled trial. Diabetes Care. 2015;38:551-560.

33. Weinger K, Beverly EA, Smaldone A. Diabetes self-care and the older adult. Western J Nurs Res. 2014;36:1272-1298.

34. Beverly EA, Ritholz MD, Shepherd C, et al. The psychosocial challenges and care of older adults with diabetes: “can’t do what I used to do; can’t be who I once was.” Curr Diabetes Rep. 2016;16:48.

35. Lu FP, Lin KP, Kuo HK. Diabetes and the risk of multi-system aging phenotypes: a systematic review and meta-analysis. PloS One. 2009;4:e4144.

36. Thabit H, Kyaw TT, McDermott J, et al. Executive function and diabetes mellitus—a stone left unturned? Curr Diabetes Rev. 2012;8:109-115.

37. McNally K, Rohan J, Pendley JS, et al. Executive functioning, treatment adherence, and glycemic control in children with type 1 diabetes. Diabetes Care. 2010;33:1159-1162.

38. Rucker JL, McDowd JM, Kluding PM. Executive function and type 2 diabetes: putting the pieces together. Phys Ther. 2012;92:454-462.

39. Kirkman MS, Briscoe VJ, Clark N, et al. Diabetes in older adults. Diabetes Care. 2012;35:2650-2664.

40. Durso SC. Using clinical guidelines designed for older adults with diabetes mellitus and complex health status. JAMA. 2006;295:1935-1940.

41. Oftedal B, Karlsen B, Bru E. Life values and self-regulation behaviours among adults with type 2 diabetes. J Clin Nurs. 2010;19:2548-2556.

42. Morrow AS, Haidet P, Skinner J, et al. Integrating diabetes self-management with the health goals of older adults: a qualitative exploration. Patient Education Counseling. 2008;72:418-423.

43. Huang ES, Gorawara-Bhat R, Chin MH. Self-reported goals of older patients with type 2 diabetes mellitus. J Am Geriatr Soc. 2005;53:306-311.

44. Beverly EA, Wray LA, LaCoe CL, et al. Listening to older adults’ values and preferences for Type 2 diabetes care: a qualitative study. Diabetes Spectrum. 2014;27:44-49.

45. American Association of Diabetes Educators. Why refer for diabetes education? American Association of Diabetes Educators. Available at: https://www.diabeteseducator.org/practice/provider-resources/why-refer-for-diabetes-education. Accessed August 15, 2016.

46. Ismail K, Winkley K, Rabe-Hesketh S. Systematic review and meta-analysis of randomised controlled trials of psychological interventions to improve glycaemic control in patients with type 2 diabetes. Lancet. 2004;363:1589-1597.

References

1. Gafarian CT, Heiby EM, Blair P, et al. The diabetes time management questionnaire. Diabetes Educator. 1999;25:585-592.

2. Wdowik MJ, Kendall PA, Harris MA. College students with diabetes: using focus groups and interviews to determine psychosocial issues and barriers to control. Diabetes Educator. 1997;23:558-562.

3. Rubin RR. Psychological issues and treatment for people with diabetes. J Clin Psych. 2001;57:457-478.

4. Ali MK, Bullard KM, Gregg EW. Achievement of goals in US diabetes care, 1999-2010. New Engl J Med. 2013;369:287-288.

5. Lloyd CE, Smith J, Weinger K. Stress and diabetes: Review of the links. Diabetes Spectrum. 2005;18:121-127.

6. Weinger K. Psychosocial issues and self-care. Am J Nurs. 2007;107(6 suppl): S34-S38.

7. Weinger K, Jacobson AM. Psychosocial and quality of life correlates of glycemic control during intensive treatment of type 1 diabetes. Patient Education Counseling. 2001;42:123-131.

8. Albright TL, Parchman M, Burge SK. Predictors of self-care behavior in adults with type 2 diabetes: an RRNeST study. Fam Med. 2001;33:354-360.

9. Gonzalez JS, Safren SA, Cagliero E, et al. Depression, self-care, and medication adherence in type 2 diabetes: relationships across the full range of symptom severity. Diabetes Care. 2007;30:2222-2227.

10. Gonzalez JS, Safren SA, Delahanty LM, et al. Symptoms of depression prospectively predict poorer self-care in patients with Type 2 diabetes. Diabetic Med. 2008;25:1102-1107.

11. Nicolucci A, Kovacs Burns K, Holt RI, et al. Diabetes Attitudes, Wishes and Needs second study (DAWN2): cross-national benchmarking of diabetes-related psychosocial outcomes for people with diabetes. Diabetic Med. 2013;30:767-777.

12. Fisher L, Hessler DM, Polonsky W, et al. When is diabetes distress clinically meaningful?: establishing cut points for the Diabetes Distress Scale. Diabetes Care. 2012;35:259-264.

13. Fisher L, Gonzalez JS, Polonsky WH. The confusing tale of depression and distress in patients with diabetes: a call for greater clarity and precision. Diabetic Med. 2014;31:764-772.

14. Fisher L, Mullan JT, Skaff MM, et al. Predicting diabetes distress in patients with Type 2 diabetes: a longitudinal study. Diabetic Med. 2009;26:622-627.

15. Fisher L, Skaff MM, Mullan JT, et al. Clinical depression versus distress among patients with type 2 diabetes: not just a question of semantics. Diabetes Care. 2007;30:542-548.

16. Gonzalez JS, Delahanty LM, Safren SA, et al. Differentiating symptoms of depression from diabetes-specific distress: relationships with self-care in type 2 diabetes. Diabetologia. 2008;51:2822-1825.

17. Fisher L, Mullan JT, Arean P, et al. Diabetes distress but not clinical depression or depressive symptoms is associated with glycemic control in both cross-sectional and longitudinal analyses. Diabetes Care. 2010;33:23-28.

18. Fisher EB, Thorpe CT, Devellis BM, et al. Healthy coping, negative emotions, and diabetes management: a systematic review and appraisal. Diabetes Educator. 2007;33:1080-1103; 1104-1086.

19. Peterson KA, Radosevich DM, O’Connor PJ, et al. Improving diabetes care in practice: findings from the TRANSLATE trial. Diabetes Care. 2008;31:2238-2243.

20. Fisher L, Glasgow RE, Strycker LA. The relationship between diabetes distress and clinical depression with glycemic control among patients with type 2 diabetes. Diabetes Care. 2010;33:1034-1036.

 

 

21. Cole J, McGuffin P, Farmer AE. The classification of depression: are we still confused? Br J Psychiatr. 2008;192:83-85.

22. Wakefield JC. The concept of mental disorder. On the boundary between biological facts and social values. Am Psychologist. 1992;47:373-388.

23. Fisher L, Gonzalez JS, Polonsky WH. The confusing tale of depression and distress in patients with diabetes: a call for greater clarity and precision. Diabetic Med. 2014;31:764-772.

24. Ciechanowski PS, Katon WJ, Russo JE. Depression and diabetes: impact of depressive symptoms on adherence, function, and costs. Arch Intern Med. 2000;160:3278-3285.

25. Fisher L, Skaff MM, Mullan JT, et al. A longitudinal study of affective and anxiety disorders, depressive affect and diabetes distress in adults with Type 2 diabetes. Diabetic Med. 2008;25:1096-1101.

26. Polonsky WH, Anderson BJ, Lohrer PA, et al. Assessment of diabetes-related distress. Diabetes Care. 1995;18:754-760.

27. McGuire BE, Morrison TG, Hermanns N, et al. Short-form measures of diabetes-related emotional distress: the Problem Areas in Diabetes Scale (PAID)-5 and PAID-1. Diabetologia. 2010;53:66-69.

28. Polonsky WH, Fisher L, Earles J, et al. Assessing psychosocial distress in diabetes: development of the diabetes distress scale. Diabetes Care. 2005;28:626-631.

29. Fisher L, Glasgow RE, Mullan JT, et al. Development of a brief diabetes distress screening instrument. Ann Fam Med. 2008;6:246-252.

30. Fisher L, Polonsky WH, Hessler DM, et al. Understanding the sources of diabetes distress in adults with type 1 diabetes. J Diabetes Complications. 2015;29:572-577.

31. Fisher L, Hessler D, Glasgow RE, et al. REDEEM: a pragmatic trial to reduce diabetes distress. Diabetes Care. 2013;36:2551-2558.

32. Hermanns N, Schmitt A, Gahr A, et al. The effect of a Diabetes-Specific Cognitive Behavioral Treatment Program (DIAMOS) for patients with diabetes and subclinical depression: results of a randomized controlled trial. Diabetes Care. 2015;38:551-560.

33. Weinger K, Beverly EA, Smaldone A. Diabetes self-care and the older adult. Western J Nurs Res. 2014;36:1272-1298.

34. Beverly EA, Ritholz MD, Shepherd C, et al. The psychosocial challenges and care of older adults with diabetes: “can’t do what I used to do; can’t be who I once was.” Curr Diabetes Rep. 2016;16:48.

35. Lu FP, Lin KP, Kuo HK. Diabetes and the risk of multi-system aging phenotypes: a systematic review and meta-analysis. PloS One. 2009;4:e4144.

36. Thabit H, Kyaw TT, McDermott J, et al. Executive function and diabetes mellitus—a stone left unturned? Curr Diabetes Rev. 2012;8:109-115.

37. McNally K, Rohan J, Pendley JS, et al. Executive functioning, treatment adherence, and glycemic control in children with type 1 diabetes. Diabetes Care. 2010;33:1159-1162.

38. Rucker JL, McDowd JM, Kluding PM. Executive function and type 2 diabetes: putting the pieces together. Phys Ther. 2012;92:454-462.

39. Kirkman MS, Briscoe VJ, Clark N, et al. Diabetes in older adults. Diabetes Care. 2012;35:2650-2664.

40. Durso SC. Using clinical guidelines designed for older adults with diabetes mellitus and complex health status. JAMA. 2006;295:1935-1940.

41. Oftedal B, Karlsen B, Bru E. Life values and self-regulation behaviours among adults with type 2 diabetes. J Clin Nurs. 2010;19:2548-2556.

42. Morrow AS, Haidet P, Skinner J, et al. Integrating diabetes self-management with the health goals of older adults: a qualitative exploration. Patient Education Counseling. 2008;72:418-423.

43. Huang ES, Gorawara-Bhat R, Chin MH. Self-reported goals of older patients with type 2 diabetes mellitus. J Am Geriatr Soc. 2005;53:306-311.

44. Beverly EA, Wray LA, LaCoe CL, et al. Listening to older adults’ values and preferences for Type 2 diabetes care: a qualitative study. Diabetes Spectrum. 2014;27:44-49.

45. American Association of Diabetes Educators. Why refer for diabetes education? American Association of Diabetes Educators. Available at: https://www.diabeteseducator.org/practice/provider-resources/why-refer-for-diabetes-education. Accessed August 15, 2016.

46. Ismail K, Winkley K, Rabe-Hesketh S. Systematic review and meta-analysis of randomised controlled trials of psychological interventions to improve glycaemic control in patients with type 2 diabetes. Lancet. 2004;363:1589-1597.

Issue
The Journal of Family Practice - 66(1)
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The Journal of Family Practice - 66(1)
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9-14
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Is diabetes distress on your radar screen?
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Is diabetes distress on your radar screen?
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PRACTICE RECOMMENDATIONS

› Educate patients about diabetes distress, explaining that diabetes is manageable and that neither complications nor diabetes distress is inevitable. C

› Empower patients to take an active role in self-management of diabetes, encouraging them to express their concerns and ask open-ended questions. A

› Support shared decision-making by inquiring about patients’ values and treatment preferences, presenting options, and reviewing the risks and benefits of each. C

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

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Atrial fibrillation: Effective strategies using the latest tools

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Atrial fibrillation: Effective strategies using the latest tools

Atrial fibrillation (AF)—the most common supraventricular tachycardia—affects as many as 6.1 million adults in the United States.1 It is associated with a 5-fold increased risk of stroke,2 a 3-fold increased risk of heart failure (HF),3 and about a 2-fold increased risk of dementia4 and mortality.2 The prevalence of AF increases with maturity, from 2% in people <65 years of age to 9% in those ≥65 years,5 and that prevalence is expected to double over the next 25 years as the population ages.1

The primary goals of treatment are to alleviate symptoms and prevent thromboembolism. Strokes related to AF are more likely to result in severe disability or death when compared with those unrelated to AF.6 And yet anticoagulation remains underutilized.7

The net clinical benefit of oral anticoagulation appears to be greatest in patients with the highest risk of bleeding, since these patients are also at the highest risk for stroke.8 Patients at increased risk of stroke are more likely to receive oral anticoagulation; however, for unknown reasons, more than half of people with the highest risk of stroke are not prescribed these important anti-blood-clotting medications.7 One theory is that physicians may be relying on their gut rather than objective risk scores, and underuse of validated schemata leads to poor estimation of risk.

IMAGE: © ALICIA BUELO

For example, results from the ORBIT-AF (Outcomes Registry for Better Informed Treatment of Atrial Fibrillation) trial, which involved over 10,000 people with AF, found that although 72% (n=7251) had high-risk CHADS2 scores (≥2), only 16% were assessed as having a high risk of stroke by physicians.9 Along the same lines, a recent study of Canadian primary care physicians showed that stroke risk and bleeding risk were not evaluated with validated tools in 58% and 81% of patients, respectively, leading to both significant underestimation and overestimation of risk.10

This review provides the tools to identify when anticoagulation is indicated, reports the advantages and disadvantages of the currently available anticoagulants, and discusses the selection and implementation of rate- vs rhythm-control strategies. But first, a word about the etiology, classification, and diagnosis of AF.

AF: The result of any number of cardiac and non-cardiac causes

AF is characterized by uncoordinated activation of the atria, which results in ineffective atrial contractions and an irregular, often rapid, ventricular response. It is the ultimate clinical manifestation of multiple diseases that alter atrial tissue through inflammation, fibrosis, or hypertrophy.5 The most common causes are hypertension, coronary artery disease, HF, cardiomyopathies, and valvular heart disease, all of which stimulate the renin-angiotensin-aldosterone system, leading to increased susceptibility to arrhythmia.5 Atrial ectopic tachycardia, Wolff-Parkinson-White (WPW) syndrome, and atrioventricular (AV) nodal reentrant tachycardia also may precipitate AF.5 In these cases, AF usually resolves after catheter ablation (CA) of the primary arrhythmia.11 Unrecognized AF may trigger atrial flutter, and more than 80% of patients who undergo radiofrequency ablation for atrial flutter experience AF at some point in the subsequent 5 years.12

Strokes related to atrial fibrillation are more likely to result in severe disability or death when compared with those unrelated to AF. And yet anticoagulation remains underutilized.

Non-cardiac causes of AF include sleep apnea, obesity, hyperthyroidism, drugs, electrocution, pneumonia, and pulmonary embolism.5 An association between binge drinking and AF (“holiday heart syndrome”) has long been recognized. The evidence now suggests that alcohol increases the risk of AF in a dose-dependent manner with intakes of ≥1 drink per day (12 g per drink).13

Classification schema no longer includes “lone AF”

AF is classified in terms of the duration of episodes:5

  • Paroxysmal AF is characterized by brief episodes that terminate spontaneously or with intervention within 7 days of onset. These episodes recur with variable frequency.
  • Persistent AF refers to AF that is continuously sustained for more than 7 days.
  • Longstanding persistent AF refers to continuous AF that lasts longer than 12 months.
  • Permanent AF is not an inherent pathophysiologic attribute of AF, but rather an acceptance of AF where the patient and physician abandon further efforts to restore and/or maintain sinus rhythm.
  • Nonvalvular AF occurs in the absence of a valve replacement (mechanical or bioprosthetic), rheumatic mitral stenosis, or mitral valve repair.

Although paroxysmal and persistent AF may occur in the same individual, the distinction is still clinically relevant, as outcomes of certain therapies, such as CA, are superior in patients with paroxysmal AF.14 With a more complete understanding of AF pathophysiology, guidelines now discourage use of the potentially confusing term “lone AF,” which has historically been applied to younger patients with no known clinical risk factors or echocardiographic abnormalities. As a result, therapeutic decisions are no longer based on this nomenclature, according to the 2014 AF practice guideline from the American College of Cardiology (ACC)/American Heart Association (AHA)/Heart Rhythm Society (HRS).5

 

 

 

Patient complaints—or incidental findings—can prompt a Dx

Fatigue is the most common symptom of AF. Other signs and symptoms include palpitations, dyspnea, HF, hypotension, syncope, chest pain, and stroke. Some patients are asymptomatic, and AF is an incidental finding when an irregular pulse is discovered during a physical examination. The diagnosis is confirmed by electrocardiogram (EKG), telemetry, Holter monitor, event recorder, or an implanted electrocardiographic recording device. A chest x-ray, serum electrolyte levels, a complete blood count, thyroid testing, and renal and hepatic function testing are recommended. Transthoracic echocardiography to measure cardiac function, detect underlying structural heart disease, and evaluate atrial size is essential.5

Warfarin remains the only recommended anticoagulation strategy for patients with severe renal impairment or valvular atrial fibrillation.

An electrophysiologic (EP) study may be needed for diagnosis or treatment if another arrhythmia is present. Aberrant conduction may cause AF to present as a wide complex tachycardia and be mislabeled as ventricular tachycardia. The presence of delta waves is an indication for an EP study targeting the WPW accessory pathway. Transesophageal echocardiography (TEE) is the most sensitive and specific test for left atrial thrombi. If you are considering a TEE for a patient with AF of unknown, or >48 hours’, duration who has not been anticoagulated in the preceding 3 weeks, obtain it before performing cardioversion because of the risk of embolism.5

Stroke prevention

The ACC/AHA/HRS AF guideline recommends basing anticoagulation decisions on thromboembolic risk, regardless of AF pattern (paroxysmal, persistent, or permanent) (Class I recommendation).5 For patients with nonvalvular AF and atrial flutter, the guideline recommends using the Birmingham 2009 schema (CHA2DS2-VASc score) (TABLE 115-18) to estimate thromboembolic risk.5,15 CHA2DS2-VASc improves on the older CHADS2 score by significantly reducing the number of patients categorized as having intermediate risk and better identifying truly low-risk patients who are unlikely to benefit from anticoagulation.16,17,19

Men with a CHA2DS2-VASc score of zero and women with a score of one do not need anticoagulation.5,20 Discuss the risks and benefits of oral anticoagulation with men who have a score of one. In these intermediate-risk men, antiplatelet therapy with aspirin and/or clopidogrel may be reasonable, especially if there is an indication other than stroke prevention (eg, post-myocardial infarction). Oral anticoagulation is strongly recommended for all patients with a CHA2DS2-VASc score of 2 or higher.5,18,21,22

Anticoagulant considerations: Warfarin vs DOACs

Warfarin was the gold standard for stroke prevention in nonvalvular AF until the direct oral anticoagulants (DOACs) became available in 2010. Guidelines in the United States and the United Kingdom recommend shared decision-making to help patients with AF who do not have a specific indication for warfarin choose between warfarin and the DOACs.5,21 Canadian and European guidelines recommend DOACs as the first-line option for anticoagulation and reserve warfarin for patients who have contraindications to, or are unable to afford, DOACs.18,22 All current guidelines recommend continuing warfarin in patients who are stable, well controlled, and satisfied with warfarin therapy and the monitoring and dietary restrictions it entails.

DOACs are as effective as warfarin. All of the DOACs are approved for stroke prevention based on individual phase III non-inferiority trials in which they were compared to warfarin.23-26 In addition, a meta-analysis of these 4 trials involving a total of 71,683 patients (mean age 70-73 years; median follow-up, 1.8-2.8 years) evaluated the benefits and risks of the 4 DOACs against the former gold standard.27

Higher doses of the DOACs (dabigatran 150 mg BID, rivaroxaban 20 mg/d, edoxaban 60 mg/d, and apixaban 5 mg BID) reduced the rates of stroke or systemic embolism (relative risk [RR]=0.81; 95% confidence interval [CI], 0.73-0.91; P<.0001; number needed to treat [NNT]=147), hemorrhagic stroke (RR=0.49; 95% CI, 0.38-0.64; P<.0001; NNT=219), and all-cause mortality (RR=0.90; 95% CI, 0.85-0.95; P=.0003; NNT=128), compared with warfarin.27 It is important to note that while lower doses of some DOACs (dabigatran 110 mg BID and edoxaban 30 mg/d) were not as effective at preventing ischemic stroke when compared with warfarin (RR=1.3; 95% CI, 1-1.6; P=.045), they still significantly reduced hemorrhagic stroke (RR=0.33; 95% CI, 0.23-0.46; P<.0001) and all-cause mortality (RR=0.89; 95% CI, 0.83-0.96; P=.003).

Of course, the biggest concern is bleeding. In that same meta-analysis, the difference in major bleeding events with DOACs vs warfarin was not statistically significant (RR=0.86; 95% CI, 0.73-1; P=.06). While DOACs likely lower rates of intracranial hemorrhage (RR=0.48; 95% CI, 0.39-0.59; P<.0001; NNT=132), they seem to increase the risk of gastrointestinal (GI) bleeding (RR=1.3; 95% CI, 1-1.6; P=.043; number needed to harm [NNH]=185).27

Without head-to-head trials, it is impossible to know if one direct oral anticoagulant is superior to another.

There was significant heterogeneity in the GI bleeding outcome, however. When compared with warfarin, GI bleeding was increased by dabigatran 150 mg BID (RR=1.5; 95% CI, 1.2-1.9; P<.001) and edoxaban 60 mg/d (HR=1.2; 95% CI, 1.02-1.5; P=.03), but there were no significant differences for dabigatran 110 mg BID or apixaban 5 mg BID.23,25,26

On the other hand, edoxaban 30 mg/d had a lower risk of GI bleeding when compared with warfarin (HR=0.67; 95% CI, 0.53-0.83; P<.001).25 Without head-to-head trials, it is impossible to know if one DOAC is superior to another. Apixaban 5 mg BID appears to offer the best overall balance between efficacy and safety. Other DOACs may be better options for patients who have specific concerns regarding efficacy or safety.28,29

Convenience, interactions, and cost may be the deciding factors. Since all DOACs are fairly comparable in efficacy and safety, other factors such as convenience, interactions with other medications, and cost should be considered when deciding on a medication for an individual patient (TABLE 230,31). The DOACs require no lab monitoring or dose titration, and all 4 have fewer potential drug interactions than warfarin.30 Due to their relatively short half-lives, strict adherence is critical; DOACs are not suitable for patients who frequently miss doses.5 (For more information on starting or switching to DOACs, see, “Is a novel anticoagulant right for your patient?J Fam Pract. 2014;63:22-28.)

A word about DOACs and renal impairment. Another concern with DOACs is their reliance on renal metabolism and excretion. A meta-analysis of the 4 phase III trials of the DOACs, this time involving 58,338 patients, evaluated DOAC efficacy and safety compared to warfarin in the presence of kidney dysfunction.32 Renal function was categorized as normal (estimated glomerular filtration rate [eGFR] >80 mL/min/1.73 m2), mildly impaired (eGFR 50-80 mL/min/1.73 m2), or moderately impaired (eGFR <50 mL/min/1.73m2). Compared with warfarin, DOACs lowered stroke risk in patients with mild (RR=0.71; 95% CI, 0.62-0.81) or moderate (RR=0.79; 95% CI, 0.66-0.94) renal impairment. DOACs also reduced major bleeding compared to warfarin in patients with mild (RR=0.88; 95% CI, 0.80-0.97) or moderate (RR=0.80; 95% CI, 0.66-0.94) renal impairment. How the DOACs fare in patients with severe renal dysfunction could not be determined because such patients were excluded from the trials.

Keep in mind that the DOACs require dose adjustment at different levels of renal impairment (TABLE 230,31), and warfarin remains the only recommended treatment for patients with severe renal impairment, according to both AHA/ACC/HRS and European Society of Cardiology guidelines.5,18

 

 

 

Tools to help assess patients’ bleeding risk

Of the available scoring mechanisms to identify risk factors for bleeding, 3 have been specifically validated in AF populations (ie, ATRIA,33 HEMORR2HAGES,34 and HAS-BLED35). Of the 3, HAS-BLED is superior,36 the most practical, and recommended by expert guidelines.18,21,22 Additionally, HAS-BLED has good correlation with intracranial hemorrhage risk. The HAS-BLED score ranges from 0 to 9 points with one point assigned for each of the following:35

  • Hypertension–uncontrolled with systolic BP >160 mm Hg
  • Abnormal liver function–cirrhosis, bilirubin >2× normal, or liver enzymes >3× normal
  • Abnormal renal function–dialysis, transplant, or serum creatinine >2.26 mg/dL
  • Stroke history–including lacunar infarcts
  • Bleeding predisposition–history of major bleeding due to any cause
  • Labile international normalized ratio (INR)–time in therapeutic range <60%
  • Elderly–age >65 years
  • Drug–antiplatelet agents, including nonsteroidal anti-inflammatory drugs
  • Alcohol usage–>8 drinks per week.

Patients with a HAS-BLED score ≥3 warrant additional monitoring and attempts to reduce bleeding risk by addressing modifiable risk factors. Bleeding risk scores should not be used to exclude patients from anticoagulation therapy.5 In fact, the British National Institute for Health and Clinical Excellence (NICE) guidelines state that anticoagulation should not be withheld solely due to fall risk.21

Also, anticoagulation with warfarin should not be permanently discontinued because of a single GI bleed, since restarting warfarin is associated with decreased risks of thromboembolism and mortality and a statistically insignificant increase in recurrent GI bleeding.37 Restarting DOAC therapy following a GI bleed has not been evaluated in clinical trials; however, it may be reasonable to use one of the DOAC doses with a lower risk of GI bleeding (dabigatran 110 mg BID, apixaban 5 mg BID, or edoxaban 30 mg/d) in patients who have experienced a GI bleed on warfarin or another DOAC.18,22

An online calculator is available that uses CHA2DS2-VASc and HAS-BLED scores to determine an individual’s risk/benefit profile with the various anticoagulation strategies available (http://www.sparctool.com). Consider percutaneous left atrial appendage occlusion if the risks of anticoagulation truly exceed the benefits.38

Rate control vs rhythm control

Most patients who present with AF require immediate ventricular rate control to reduce symptoms. In the acute setting, this can be accomplished with intravenous (IV) beta-blockers or IV calcium channel antagonists.5,39 If the patient is hemodynamically unstable, urgent direct-current cardioversion is the preferred treatment strategy and should not be delayed pending anticoagulation. IV amiodarone can be used in the ICU patient who does not require cardioversion, but is unable to tolerate beta-blockers or calcium channel antagonists.40 Once the patient is stable, long-term treatment focuses on ventricular rate control or restoration and maintenance of sinus rhythm.

Direct oral anticoagulants are not suitable for patients who frequently miss doses.

The AFFIRM (Atrial Fibrillation Follow-up Investigation of Rhythm Management) trial enrolled 4060 patients (mean age 70 years, mean follow-up 3.5 years) with paroxysmal and persistent AF and randomized them to either pharmacologic rate control or rhythm control.41 No significant differences were found in all-cause mortality or in the composite secondary endpoint of death, ischemic stroke, anoxic encephalopathy, major bleeding, or cardiac arrest. In addition, no significant differences emerged in quality of life or global functional status. The number of patients requiring hospitalization during follow-up was significantly lower in the rate-control group vs the rhythm-control group (73% vs 80%; P<.001). Anticoagulation was encouraged but not mandated in the rhythm-control group after 4 weeks in sinus rhythm, and there was a trend toward higher mortality in the rhythm-control group (27% vs 26%; P=.08).

Patients <65 years were excluded from the AFFIRM trial. When younger patients experience significant symptoms, early referral to Cardiology should be considered to discuss the long-term benefits and risks of a rhythm-control strategy. Regardless of age, when patients remain symptomatic despite rate- or rhythm-control management, the strategy should be changed.5

Rate-control targets and options

Target heart rates should be individualized. The 2014 ACC/AHA/HRS guideline recommends a resting target heart rate <80 beats per minute (bpm) in symptomatic patients.5 In patients with permanent AF who remain asymptomatic at higher resting heart rates, a more lenient rate-control strategy (resting heart rate <110 bpm) has demonstrated outcomes equivalent to those of a more strict approach (resting heart rate <80 bpm and heart rate during moderate exercise <110 bpm).42 Pharmacologic rate-control options include beta-blockers, non-dihydropyridine calcium channel antagonists, and digoxin (TABLE 35). Digoxin is associated with increased all-cause mortality in patients with AF regardless of HF status (HR=1.4; 95% CI, 1.2-1.6, P=.0001).43 Digoxin should be reserved for patients who are sedentary or have inadequate control with first-line medications.5

 

 

 

Indications for rhythm control

The NICE guidelines, which are consistent with the ACC/AHA/HRS guidelines, recommend rate control as the first-line strategy for AF management, except in people:21

  • whose AF has a reversible cause
  • who have HF believed to be primarily caused by AF
  • with new-onset AF
  • with atrial flutter that is considered suitable for an ablation strategy to restore sinus rhythm
  • for whom a rhythm-control strategy would be more suitable based on clinical judgment.

In addition, patients who continue to experience symptomatic AF despite an adequate trial of rate control should be offered rhythm control.5

Pharmacologic rhythm-control strategies. Antiarrhythmic drugs can be used for chemical cardioversion, reduction of paroxysms, and long-term maintenance of sinus rhythm. The most commonly used antiarrhythmic drugs are Class IC and Class III agents (TABLE 3).5 Tailored drug selection for each patient is key. Patients with left atrial diameters >4.5 cm are less likely to remain in sinus rhythm, and patients with left ventricular hypertrophy are at increased risk for proarrhythmic adverse effects.44 Patients with paroxysmal AF may be candidates for a “pill-in-the-pocket” strategy using propafenone or flecainide.5

AF frequently progresses from paroxysmal to persistent and can subsequently result in electrical and structural remodeling that becomes irreversible over time.45 The patient with uncontrolled symptoms despite attempts at rate control and rhythm control should be promptly referred to an electrophysiologist.

Surgical interventions for rate or rhythm control

Electrophysiology interventions include AV nodal ablation with pacemaker placement for rate control, or catheter-directed ablation (radiofrequency or cryotherapy) for rhythm control. CA appears to be more effective than pharmacologic rhythm control.46,47 Treatment with CA is indicated for symptomatic paroxysmal AF when a rhythm-control strategy is desired and the AF is refractory to, or the patient is intolerant of, at least one class I or III antiarrhythmic medication.5 With these same caveats, CA is a reasonable strategy for symptomatic persistent AF.

Consider more invasive interventions, such as an atrial maze procedure, when patients require cardiac surgery for another indication. Patients with an increased risk of thromboembolism (based on CHA2DS2-VASc) remain at high risk even after successful ablation.48 As a result, some guidelines recommend continued long-term anticoagulation following CA.18,22

CORRESPONDENCE
Philip Dooley, MD, University of Kansas School of Medicine–Wichita Family Medicine Residency at Via Christi, 707 North Emporia, Wichita, KS 67207; [email protected].

ACKNOWLEDGMENTS
We thank Professor Anne Walling, MB, ChB, FFPHM, Department of Family and Community Medicine, University of Kansas School of Medicine–Wichita for her suggestions and critical review of an earlier version of this manuscript.

References

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2. Kannel WB, Wolf PA, Benjamin EJ, et al. Prevalence, incidence, prognosis, and predisposing conditions for atrial fibrillation: population-based estimates. Am J Cardiol. 1998;82:2N-9N.

3. Krahn AD, Manfreda J, Tate RB, et al. The natural history of atrial fibrillation: incidence, risk factors, and prognosis in the Manitoba follow-up study. Am J Med. 1995;98:476-484.

4. Ott A, Breteler MMB, de Bruyne MC, et al. Atrial fibrillation and dementia in a population-based study: The Rotterdam Study. Stroke. 1997;28:316-321.

5. January CT, Wann L, Alpert JS, et al. 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society. J Am Coll Cardiol. 2014;64:e1-e76.

6. Lin HJ, Wolf PA, Kelly-Hayes M, et al. Stroke severity in atrial fibrillation. Stroke. 1996;27:1760-1764.

7. Hsu JC, Maddox TM, Kennedy KF, et al. Oral anticoagulant therapy prescription in patients with atrial fibrillation across the spectrum of stroke risk: insights from the NCDR PINNACLE registry. JAMA Cardiol. 2016;1:55-62.

8. Olesen JB, Lip GY, Lindhardsen J, et al. Risks of thromboembolism and bleeding with thromboprophylaxis in patients with atrial fibrillation: a net clinical benefit analysis using a ‘real world’ nationwide cohort study. Thromb Haemost. 2011;106:739-749.

9. Steinberg BA, Kim S, Thomas L, et al. Lack of concordance between empirical scores and physician assessments of stroke and bleeding risk in atrial fibrillation: results from the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT-AF) registry. Circulation. 2014;129:2005-2012.

10. Angaran P, Dorian P, Tan MK, et al. The risk stratification and stroke prevention therapy care gap in Canadian atrial fibrillation patients. Can J Cardiol. 2016;32:336-343.

11. Waldo AL, Feld GK. Inter-relationships of atrial fibrillation and atrial flutter: mechanisms and clinical implications. J Am Coll Cardiol. 2008;51:779-786.

12. Ellis K, Wazni O, Marrouche N, et al. Incidence of atrial fibrillation post-cavotricuspid isthmus ablation in patients with typical atrial flutter: left-atrial size as an independent predictor of atrial fibrillation recurrence. J Cardiovasc Electrophysiol. 2007;18:799-802.

13. Larsson SC, Drca N, Wolk A. Alcohol consumption and risk of atrial fibrillation: a prospective study and dose-response meta-analysis. J Am Coll Cardiol. 2014;64:281-289.

14. Calkins H, Kuck KH, Cappato R, et al. 2012 HRS/EHRA/ECAS expert consensus statement on catheter and surgical ablation of atrial fibrillation: recommendations for patient selection, procedural techniques, patient management and follow-up, definitions, endpoints, and research trial design. J Interv Card Electrophysiol. 2012;33:171-257.

15. Lip GY, Nieuwlaat R, Pisters R, et al. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the Euro Heart Survey on Atrial Fibrillation. Chest. 2010;137:263-272.

16. Lip GYH, Frison L, Halperin JL, et al. Identifying patients at high risk for stroke despite anticoagulation: a comparison of contemporary stroke risk stratification schemes in an anticoagulated atrial fibrillation cohort. Stroke. 2010;41:2731-2738.

17. Olesen JB, Lip GYH, Hansen ML, et al. Validation of risk stratification schemes for predicting stroke and thromboembolism in patients with atrial fibrillation: nationwide cohort study. BMJ. 2011;342:d124.

18. Camm AJ, Lip GYH, De Caterina R, et al. 2012 focused update of the ESC Guidelines for the management of atrial fibrillation: an update of the 2010 ESC Guidelines for the management of atrial fibrillation. Developed with the special contribution of the European Heart Rhythm Association. Eur Heart J. 2012;33:2719-2747.

19. Olesen JB, Torp-Pedersen C, Hansen ML, et al. The value of the CHA2DS2-VASc score for refining stroke risk stratification in patients with atrial fibrillation with a CHADS2 score 0-1: a nationwide cohort study. Thromb Haemost. 2012;107:1172-1179.

20. Friberg L, Benson L, Rosenqvist M, et al. Assessment of female sex as a risk factor in atrial fibrillation in Sweden: nationwide retrospective cohort study. BMJ. 2012;344:e3522.

21. National Institute for Health and Clinical Excellence (NICE). Atrial fibrillation: the management of atrial fibrillation [CG180]. 2014. Available at: https://www.nice.org.uk/guidance/cg180. Accessed July 31, 2016.

22. Verma A, Cairns JA, Mitchell LB, et al. 2014 focused update of the Canadian Cardiovascular Society Guidelines for the management of atrial fibrillation. Can J Cardiol. 2014;30:1114-1130.

23. Connolly SJ, Ezekowitz MD, Yusuf S, et al. Dabigatran versus warfarin in patients with atrial fibrillation. N Engl J Med. 2009;361:1139-1151.

24. Patel MR, Mahaffey KW, Garg J, et al. Rivaroxaban versus warfarin in nonvalvular atrial fibrillation. N Engl J Med. 2011;365:883-891.

25. Giugliano RP, Ruff CT, Braunwald E, et al. Edoxaban versus warfarin in patients with atrial fibrillation. N Engl J Med. 2013;369:2093-2104.

26. Granger CB, Alexander JH, McMurray JJV, et al. Apixaban versus warfarin in patients with atrial fibrillation. N Engl J Med. 2011;365:981-992.

27. Ruff CT, Giugliano RP, Braunwald E, et al. Comparison of the efficacy and safety of new oral anticoagulants with warfarin in patients with atrial fibrillation: a meta-analysis of randomised trials. Lancet. 2014;383:955-962.

28. Morimoto T, Crawford B, Wada K, et al. Comparative efficacy and safety of novel oral anticoagulants in patients with atrial fibrillation: a network meta-analysis with the adjustment for the possible bias from open label studies. J Cardiol. 2015;66:466-474.

29. Verdecchia P, Angeli F, Bartolini C, et al. Safety and efficacy of non-vitamin K oral anticoagulants in non-valvular atrial fibrillation: a Bayesian meta-analysis approach. Expert Opin Drug Saf. 2015;14:7-20.

30. Micromedex® 2.0 (electronic version). Truven Health Analytics, Greenwood Village, Colorado, USA. Available at: http://www.micromedexsolutions.com. Accessed August 18, 2016.

31. GoodRx. Available at: https://www.goodrx.com. Accessed August 18, 2016.

32. Del-Carpio Munoz F, Gharacholou SM, Munger TM, et al. Meta-analysis of renal function on the safety and efficacy of novel oral anticoagulants for atrial fibrillation. Am J Cardiol. 2016;117:69-75.

33. Fang MC, Go AS, Chang Y, et al. A new risk scheme to predict warfarin-associated hemorrhage: the ATRIA (Anticoagulation and Risk Factors in Atrial Fibrillation) Study. J Am Coll Cardiol. 2011;58:395-401.

34. Gage BF, Yan Y, Milligan PE, et al. Clinical classification schemes for predicting hemorrhage: results from the National Registry of Atrial Fibrillation (NRAF). Am Heart J. 2006;151:713-719.

35. Pisters R, Lane DA, Nieuwlaat R, et al. A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey. Chest. 2010;138:1093-1100.

36. Zhu W, He W, Guo L, et al. The HAS-BLED Score for predicting major bleeding risk in anticoagulated patients with atrial fibrillation: a systematic review and meta-analysis. Clin Cardiol. 2015;38:555-561.

37. Chai-Adisaksopha C, Hillis C, Monreal M, et al. Thromboembolic events, recurrent bleeding and mortality after resuming anticoagulant following gastrointestinal bleeding. A meta-analysis. Thromb Haemost. 2015;114:819-825.

38. Xu H, Xie X, Wang B, et al. Efficacy and safety of percutaneous left atrial appendage occlusion for stroke prevention in nonvalvular atrial fibrillation: a meta-analysis of contemporary studies. Heart Lung Circ. 2016;25:1107-1117.

39. Siu CW, Lau CP, Lee WL, et al. Intravenous diltiazem is superior to intravenous amiodarone or digoxin for achieving ventricular rate control in patients with acute uncomplicated atrial fibrillation. Crit Care Med. 2009;37:2174-2179.

40. Clemo HF, Wood MA, Gilligan DM, et al. Intravenous amiodarone for acute heart rate control in the critically ill patient with atrial tachyarrhythmias. Am J Cardiol. 1998;81:594-598.

41. The Atrial Fibrillation Follow-Up Investigation of Rhythm Management (AFFIRM) Investigators. A comparison of rate control and rhythm control in patients with atrial fibrillation. N Engl J Med. 2002;347:1825-1833.

42. Van Gelder IC, Groenveld HF, Crijns HJGM, et al. Lenient versus strict rate control in patients with atrial fibrillation. N Engl J Med. 2010;362:1363-1373.

43. Wang ZQ, Zhang R, Chen MT, et al. Digoxin is associated with increased all-cause mortality in patients with atrial fibrillation regardless of concomitant heart failure: a meta-analysis. J Cardiovasc Pharmacol. 2015;66:270-275.

44. Olshansky B, Heller EN, Mitchell LB, et al. Are transthoracic echocardiographic parameters associated with atrial fibrillation recurrence or stroke? Results from the Atrial Fibrillation Follow-Up Investigation of Rhythm Management (AFFIRM) study. J Am Coll Cardiol. 2005;45:2026-2033.

45. de Vos CB, Pisters R, Nieuwlaat R, et al. Progression from paroxysmal to persistent atrial fibrillation: clinical correlates and prognosis. J Am Coll Cardiol. 2010;55:725-731.

46. Cheng X, Li X, He Y, et al. Catheter ablation versus anti-arrhythmic drug therapy for the management of atrial fibrillation: a meta-analysis. J Interv Card Electrophysiol. 2014;41:267-272.

47. Di Biase L, Mohanty P, Mohanty S, et al. Ablation versus amiodarone for treatment of persistent atrial fibrillation in patients with congestive heart failure and an implanted device: results from the AATAC multicenter randomized trial. Circulation. 2016;133:1637-1644.

48. Jacobs V, May HT, Bair TL, et al. The impact of risk score (CHADS2 versus CHA2DS2-VASc) on long-term outcomes after atrial fibrillation ablation. Heart Rhythm. 2015;12:681-686.

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Atrial fibrillation (AF)—the most common supraventricular tachycardia—affects as many as 6.1 million adults in the United States.1 It is associated with a 5-fold increased risk of stroke,2 a 3-fold increased risk of heart failure (HF),3 and about a 2-fold increased risk of dementia4 and mortality.2 The prevalence of AF increases with maturity, from 2% in people <65 years of age to 9% in those ≥65 years,5 and that prevalence is expected to double over the next 25 years as the population ages.1

The primary goals of treatment are to alleviate symptoms and prevent thromboembolism. Strokes related to AF are more likely to result in severe disability or death when compared with those unrelated to AF.6 And yet anticoagulation remains underutilized.7

The net clinical benefit of oral anticoagulation appears to be greatest in patients with the highest risk of bleeding, since these patients are also at the highest risk for stroke.8 Patients at increased risk of stroke are more likely to receive oral anticoagulation; however, for unknown reasons, more than half of people with the highest risk of stroke are not prescribed these important anti-blood-clotting medications.7 One theory is that physicians may be relying on their gut rather than objective risk scores, and underuse of validated schemata leads to poor estimation of risk.

IMAGE: © ALICIA BUELO

For example, results from the ORBIT-AF (Outcomes Registry for Better Informed Treatment of Atrial Fibrillation) trial, which involved over 10,000 people with AF, found that although 72% (n=7251) had high-risk CHADS2 scores (≥2), only 16% were assessed as having a high risk of stroke by physicians.9 Along the same lines, a recent study of Canadian primary care physicians showed that stroke risk and bleeding risk were not evaluated with validated tools in 58% and 81% of patients, respectively, leading to both significant underestimation and overestimation of risk.10

This review provides the tools to identify when anticoagulation is indicated, reports the advantages and disadvantages of the currently available anticoagulants, and discusses the selection and implementation of rate- vs rhythm-control strategies. But first, a word about the etiology, classification, and diagnosis of AF.

AF: The result of any number of cardiac and non-cardiac causes

AF is characterized by uncoordinated activation of the atria, which results in ineffective atrial contractions and an irregular, often rapid, ventricular response. It is the ultimate clinical manifestation of multiple diseases that alter atrial tissue through inflammation, fibrosis, or hypertrophy.5 The most common causes are hypertension, coronary artery disease, HF, cardiomyopathies, and valvular heart disease, all of which stimulate the renin-angiotensin-aldosterone system, leading to increased susceptibility to arrhythmia.5 Atrial ectopic tachycardia, Wolff-Parkinson-White (WPW) syndrome, and atrioventricular (AV) nodal reentrant tachycardia also may precipitate AF.5 In these cases, AF usually resolves after catheter ablation (CA) of the primary arrhythmia.11 Unrecognized AF may trigger atrial flutter, and more than 80% of patients who undergo radiofrequency ablation for atrial flutter experience AF at some point in the subsequent 5 years.12

Strokes related to atrial fibrillation are more likely to result in severe disability or death when compared with those unrelated to AF. And yet anticoagulation remains underutilized.

Non-cardiac causes of AF include sleep apnea, obesity, hyperthyroidism, drugs, electrocution, pneumonia, and pulmonary embolism.5 An association between binge drinking and AF (“holiday heart syndrome”) has long been recognized. The evidence now suggests that alcohol increases the risk of AF in a dose-dependent manner with intakes of ≥1 drink per day (12 g per drink).13

Classification schema no longer includes “lone AF”

AF is classified in terms of the duration of episodes:5

  • Paroxysmal AF is characterized by brief episodes that terminate spontaneously or with intervention within 7 days of onset. These episodes recur with variable frequency.
  • Persistent AF refers to AF that is continuously sustained for more than 7 days.
  • Longstanding persistent AF refers to continuous AF that lasts longer than 12 months.
  • Permanent AF is not an inherent pathophysiologic attribute of AF, but rather an acceptance of AF where the patient and physician abandon further efforts to restore and/or maintain sinus rhythm.
  • Nonvalvular AF occurs in the absence of a valve replacement (mechanical or bioprosthetic), rheumatic mitral stenosis, or mitral valve repair.

Although paroxysmal and persistent AF may occur in the same individual, the distinction is still clinically relevant, as outcomes of certain therapies, such as CA, are superior in patients with paroxysmal AF.14 With a more complete understanding of AF pathophysiology, guidelines now discourage use of the potentially confusing term “lone AF,” which has historically been applied to younger patients with no known clinical risk factors or echocardiographic abnormalities. As a result, therapeutic decisions are no longer based on this nomenclature, according to the 2014 AF practice guideline from the American College of Cardiology (ACC)/American Heart Association (AHA)/Heart Rhythm Society (HRS).5

 

 

 

Patient complaints—or incidental findings—can prompt a Dx

Fatigue is the most common symptom of AF. Other signs and symptoms include palpitations, dyspnea, HF, hypotension, syncope, chest pain, and stroke. Some patients are asymptomatic, and AF is an incidental finding when an irregular pulse is discovered during a physical examination. The diagnosis is confirmed by electrocardiogram (EKG), telemetry, Holter monitor, event recorder, or an implanted electrocardiographic recording device. A chest x-ray, serum electrolyte levels, a complete blood count, thyroid testing, and renal and hepatic function testing are recommended. Transthoracic echocardiography to measure cardiac function, detect underlying structural heart disease, and evaluate atrial size is essential.5

Warfarin remains the only recommended anticoagulation strategy for patients with severe renal impairment or valvular atrial fibrillation.

An electrophysiologic (EP) study may be needed for diagnosis or treatment if another arrhythmia is present. Aberrant conduction may cause AF to present as a wide complex tachycardia and be mislabeled as ventricular tachycardia. The presence of delta waves is an indication for an EP study targeting the WPW accessory pathway. Transesophageal echocardiography (TEE) is the most sensitive and specific test for left atrial thrombi. If you are considering a TEE for a patient with AF of unknown, or >48 hours’, duration who has not been anticoagulated in the preceding 3 weeks, obtain it before performing cardioversion because of the risk of embolism.5

Stroke prevention

The ACC/AHA/HRS AF guideline recommends basing anticoagulation decisions on thromboembolic risk, regardless of AF pattern (paroxysmal, persistent, or permanent) (Class I recommendation).5 For patients with nonvalvular AF and atrial flutter, the guideline recommends using the Birmingham 2009 schema (CHA2DS2-VASc score) (TABLE 115-18) to estimate thromboembolic risk.5,15 CHA2DS2-VASc improves on the older CHADS2 score by significantly reducing the number of patients categorized as having intermediate risk and better identifying truly low-risk patients who are unlikely to benefit from anticoagulation.16,17,19

Men with a CHA2DS2-VASc score of zero and women with a score of one do not need anticoagulation.5,20 Discuss the risks and benefits of oral anticoagulation with men who have a score of one. In these intermediate-risk men, antiplatelet therapy with aspirin and/or clopidogrel may be reasonable, especially if there is an indication other than stroke prevention (eg, post-myocardial infarction). Oral anticoagulation is strongly recommended for all patients with a CHA2DS2-VASc score of 2 or higher.5,18,21,22

Anticoagulant considerations: Warfarin vs DOACs

Warfarin was the gold standard for stroke prevention in nonvalvular AF until the direct oral anticoagulants (DOACs) became available in 2010. Guidelines in the United States and the United Kingdom recommend shared decision-making to help patients with AF who do not have a specific indication for warfarin choose between warfarin and the DOACs.5,21 Canadian and European guidelines recommend DOACs as the first-line option for anticoagulation and reserve warfarin for patients who have contraindications to, or are unable to afford, DOACs.18,22 All current guidelines recommend continuing warfarin in patients who are stable, well controlled, and satisfied with warfarin therapy and the monitoring and dietary restrictions it entails.

DOACs are as effective as warfarin. All of the DOACs are approved for stroke prevention based on individual phase III non-inferiority trials in which they were compared to warfarin.23-26 In addition, a meta-analysis of these 4 trials involving a total of 71,683 patients (mean age 70-73 years; median follow-up, 1.8-2.8 years) evaluated the benefits and risks of the 4 DOACs against the former gold standard.27

Higher doses of the DOACs (dabigatran 150 mg BID, rivaroxaban 20 mg/d, edoxaban 60 mg/d, and apixaban 5 mg BID) reduced the rates of stroke or systemic embolism (relative risk [RR]=0.81; 95% confidence interval [CI], 0.73-0.91; P<.0001; number needed to treat [NNT]=147), hemorrhagic stroke (RR=0.49; 95% CI, 0.38-0.64; P<.0001; NNT=219), and all-cause mortality (RR=0.90; 95% CI, 0.85-0.95; P=.0003; NNT=128), compared with warfarin.27 It is important to note that while lower doses of some DOACs (dabigatran 110 mg BID and edoxaban 30 mg/d) were not as effective at preventing ischemic stroke when compared with warfarin (RR=1.3; 95% CI, 1-1.6; P=.045), they still significantly reduced hemorrhagic stroke (RR=0.33; 95% CI, 0.23-0.46; P<.0001) and all-cause mortality (RR=0.89; 95% CI, 0.83-0.96; P=.003).

Of course, the biggest concern is bleeding. In that same meta-analysis, the difference in major bleeding events with DOACs vs warfarin was not statistically significant (RR=0.86; 95% CI, 0.73-1; P=.06). While DOACs likely lower rates of intracranial hemorrhage (RR=0.48; 95% CI, 0.39-0.59; P<.0001; NNT=132), they seem to increase the risk of gastrointestinal (GI) bleeding (RR=1.3; 95% CI, 1-1.6; P=.043; number needed to harm [NNH]=185).27

Without head-to-head trials, it is impossible to know if one direct oral anticoagulant is superior to another.

There was significant heterogeneity in the GI bleeding outcome, however. When compared with warfarin, GI bleeding was increased by dabigatran 150 mg BID (RR=1.5; 95% CI, 1.2-1.9; P<.001) and edoxaban 60 mg/d (HR=1.2; 95% CI, 1.02-1.5; P=.03), but there were no significant differences for dabigatran 110 mg BID or apixaban 5 mg BID.23,25,26

On the other hand, edoxaban 30 mg/d had a lower risk of GI bleeding when compared with warfarin (HR=0.67; 95% CI, 0.53-0.83; P<.001).25 Without head-to-head trials, it is impossible to know if one DOAC is superior to another. Apixaban 5 mg BID appears to offer the best overall balance between efficacy and safety. Other DOACs may be better options for patients who have specific concerns regarding efficacy or safety.28,29

Convenience, interactions, and cost may be the deciding factors. Since all DOACs are fairly comparable in efficacy and safety, other factors such as convenience, interactions with other medications, and cost should be considered when deciding on a medication for an individual patient (TABLE 230,31). The DOACs require no lab monitoring or dose titration, and all 4 have fewer potential drug interactions than warfarin.30 Due to their relatively short half-lives, strict adherence is critical; DOACs are not suitable for patients who frequently miss doses.5 (For more information on starting or switching to DOACs, see, “Is a novel anticoagulant right for your patient?J Fam Pract. 2014;63:22-28.)

A word about DOACs and renal impairment. Another concern with DOACs is their reliance on renal metabolism and excretion. A meta-analysis of the 4 phase III trials of the DOACs, this time involving 58,338 patients, evaluated DOAC efficacy and safety compared to warfarin in the presence of kidney dysfunction.32 Renal function was categorized as normal (estimated glomerular filtration rate [eGFR] >80 mL/min/1.73 m2), mildly impaired (eGFR 50-80 mL/min/1.73 m2), or moderately impaired (eGFR <50 mL/min/1.73m2). Compared with warfarin, DOACs lowered stroke risk in patients with mild (RR=0.71; 95% CI, 0.62-0.81) or moderate (RR=0.79; 95% CI, 0.66-0.94) renal impairment. DOACs also reduced major bleeding compared to warfarin in patients with mild (RR=0.88; 95% CI, 0.80-0.97) or moderate (RR=0.80; 95% CI, 0.66-0.94) renal impairment. How the DOACs fare in patients with severe renal dysfunction could not be determined because such patients were excluded from the trials.

Keep in mind that the DOACs require dose adjustment at different levels of renal impairment (TABLE 230,31), and warfarin remains the only recommended treatment for patients with severe renal impairment, according to both AHA/ACC/HRS and European Society of Cardiology guidelines.5,18

 

 

 

Tools to help assess patients’ bleeding risk

Of the available scoring mechanisms to identify risk factors for bleeding, 3 have been specifically validated in AF populations (ie, ATRIA,33 HEMORR2HAGES,34 and HAS-BLED35). Of the 3, HAS-BLED is superior,36 the most practical, and recommended by expert guidelines.18,21,22 Additionally, HAS-BLED has good correlation with intracranial hemorrhage risk. The HAS-BLED score ranges from 0 to 9 points with one point assigned for each of the following:35

  • Hypertension–uncontrolled with systolic BP >160 mm Hg
  • Abnormal liver function–cirrhosis, bilirubin >2× normal, or liver enzymes >3× normal
  • Abnormal renal function–dialysis, transplant, or serum creatinine >2.26 mg/dL
  • Stroke history–including lacunar infarcts
  • Bleeding predisposition–history of major bleeding due to any cause
  • Labile international normalized ratio (INR)–time in therapeutic range <60%
  • Elderly–age >65 years
  • Drug–antiplatelet agents, including nonsteroidal anti-inflammatory drugs
  • Alcohol usage–>8 drinks per week.

Patients with a HAS-BLED score ≥3 warrant additional monitoring and attempts to reduce bleeding risk by addressing modifiable risk factors. Bleeding risk scores should not be used to exclude patients from anticoagulation therapy.5 In fact, the British National Institute for Health and Clinical Excellence (NICE) guidelines state that anticoagulation should not be withheld solely due to fall risk.21

Also, anticoagulation with warfarin should not be permanently discontinued because of a single GI bleed, since restarting warfarin is associated with decreased risks of thromboembolism and mortality and a statistically insignificant increase in recurrent GI bleeding.37 Restarting DOAC therapy following a GI bleed has not been evaluated in clinical trials; however, it may be reasonable to use one of the DOAC doses with a lower risk of GI bleeding (dabigatran 110 mg BID, apixaban 5 mg BID, or edoxaban 30 mg/d) in patients who have experienced a GI bleed on warfarin or another DOAC.18,22

An online calculator is available that uses CHA2DS2-VASc and HAS-BLED scores to determine an individual’s risk/benefit profile with the various anticoagulation strategies available (http://www.sparctool.com). Consider percutaneous left atrial appendage occlusion if the risks of anticoagulation truly exceed the benefits.38

Rate control vs rhythm control

Most patients who present with AF require immediate ventricular rate control to reduce symptoms. In the acute setting, this can be accomplished with intravenous (IV) beta-blockers or IV calcium channel antagonists.5,39 If the patient is hemodynamically unstable, urgent direct-current cardioversion is the preferred treatment strategy and should not be delayed pending anticoagulation. IV amiodarone can be used in the ICU patient who does not require cardioversion, but is unable to tolerate beta-blockers or calcium channel antagonists.40 Once the patient is stable, long-term treatment focuses on ventricular rate control or restoration and maintenance of sinus rhythm.

Direct oral anticoagulants are not suitable for patients who frequently miss doses.

The AFFIRM (Atrial Fibrillation Follow-up Investigation of Rhythm Management) trial enrolled 4060 patients (mean age 70 years, mean follow-up 3.5 years) with paroxysmal and persistent AF and randomized them to either pharmacologic rate control or rhythm control.41 No significant differences were found in all-cause mortality or in the composite secondary endpoint of death, ischemic stroke, anoxic encephalopathy, major bleeding, or cardiac arrest. In addition, no significant differences emerged in quality of life or global functional status. The number of patients requiring hospitalization during follow-up was significantly lower in the rate-control group vs the rhythm-control group (73% vs 80%; P<.001). Anticoagulation was encouraged but not mandated in the rhythm-control group after 4 weeks in sinus rhythm, and there was a trend toward higher mortality in the rhythm-control group (27% vs 26%; P=.08).

Patients <65 years were excluded from the AFFIRM trial. When younger patients experience significant symptoms, early referral to Cardiology should be considered to discuss the long-term benefits and risks of a rhythm-control strategy. Regardless of age, when patients remain symptomatic despite rate- or rhythm-control management, the strategy should be changed.5

Rate-control targets and options

Target heart rates should be individualized. The 2014 ACC/AHA/HRS guideline recommends a resting target heart rate <80 beats per minute (bpm) in symptomatic patients.5 In patients with permanent AF who remain asymptomatic at higher resting heart rates, a more lenient rate-control strategy (resting heart rate <110 bpm) has demonstrated outcomes equivalent to those of a more strict approach (resting heart rate <80 bpm and heart rate during moderate exercise <110 bpm).42 Pharmacologic rate-control options include beta-blockers, non-dihydropyridine calcium channel antagonists, and digoxin (TABLE 35). Digoxin is associated with increased all-cause mortality in patients with AF regardless of HF status (HR=1.4; 95% CI, 1.2-1.6, P=.0001).43 Digoxin should be reserved for patients who are sedentary or have inadequate control with first-line medications.5

 

 

 

Indications for rhythm control

The NICE guidelines, which are consistent with the ACC/AHA/HRS guidelines, recommend rate control as the first-line strategy for AF management, except in people:21

  • whose AF has a reversible cause
  • who have HF believed to be primarily caused by AF
  • with new-onset AF
  • with atrial flutter that is considered suitable for an ablation strategy to restore sinus rhythm
  • for whom a rhythm-control strategy would be more suitable based on clinical judgment.

In addition, patients who continue to experience symptomatic AF despite an adequate trial of rate control should be offered rhythm control.5

Pharmacologic rhythm-control strategies. Antiarrhythmic drugs can be used for chemical cardioversion, reduction of paroxysms, and long-term maintenance of sinus rhythm. The most commonly used antiarrhythmic drugs are Class IC and Class III agents (TABLE 3).5 Tailored drug selection for each patient is key. Patients with left atrial diameters >4.5 cm are less likely to remain in sinus rhythm, and patients with left ventricular hypertrophy are at increased risk for proarrhythmic adverse effects.44 Patients with paroxysmal AF may be candidates for a “pill-in-the-pocket” strategy using propafenone or flecainide.5

AF frequently progresses from paroxysmal to persistent and can subsequently result in electrical and structural remodeling that becomes irreversible over time.45 The patient with uncontrolled symptoms despite attempts at rate control and rhythm control should be promptly referred to an electrophysiologist.

Surgical interventions for rate or rhythm control

Electrophysiology interventions include AV nodal ablation with pacemaker placement for rate control, or catheter-directed ablation (radiofrequency or cryotherapy) for rhythm control. CA appears to be more effective than pharmacologic rhythm control.46,47 Treatment with CA is indicated for symptomatic paroxysmal AF when a rhythm-control strategy is desired and the AF is refractory to, or the patient is intolerant of, at least one class I or III antiarrhythmic medication.5 With these same caveats, CA is a reasonable strategy for symptomatic persistent AF.

Consider more invasive interventions, such as an atrial maze procedure, when patients require cardiac surgery for another indication. Patients with an increased risk of thromboembolism (based on CHA2DS2-VASc) remain at high risk even after successful ablation.48 As a result, some guidelines recommend continued long-term anticoagulation following CA.18,22

CORRESPONDENCE
Philip Dooley, MD, University of Kansas School of Medicine–Wichita Family Medicine Residency at Via Christi, 707 North Emporia, Wichita, KS 67207; [email protected].

ACKNOWLEDGMENTS
We thank Professor Anne Walling, MB, ChB, FFPHM, Department of Family and Community Medicine, University of Kansas School of Medicine–Wichita for her suggestions and critical review of an earlier version of this manuscript.

Atrial fibrillation (AF)—the most common supraventricular tachycardia—affects as many as 6.1 million adults in the United States.1 It is associated with a 5-fold increased risk of stroke,2 a 3-fold increased risk of heart failure (HF),3 and about a 2-fold increased risk of dementia4 and mortality.2 The prevalence of AF increases with maturity, from 2% in people <65 years of age to 9% in those ≥65 years,5 and that prevalence is expected to double over the next 25 years as the population ages.1

The primary goals of treatment are to alleviate symptoms and prevent thromboembolism. Strokes related to AF are more likely to result in severe disability or death when compared with those unrelated to AF.6 And yet anticoagulation remains underutilized.7

The net clinical benefit of oral anticoagulation appears to be greatest in patients with the highest risk of bleeding, since these patients are also at the highest risk for stroke.8 Patients at increased risk of stroke are more likely to receive oral anticoagulation; however, for unknown reasons, more than half of people with the highest risk of stroke are not prescribed these important anti-blood-clotting medications.7 One theory is that physicians may be relying on their gut rather than objective risk scores, and underuse of validated schemata leads to poor estimation of risk.

IMAGE: © ALICIA BUELO

For example, results from the ORBIT-AF (Outcomes Registry for Better Informed Treatment of Atrial Fibrillation) trial, which involved over 10,000 people with AF, found that although 72% (n=7251) had high-risk CHADS2 scores (≥2), only 16% were assessed as having a high risk of stroke by physicians.9 Along the same lines, a recent study of Canadian primary care physicians showed that stroke risk and bleeding risk were not evaluated with validated tools in 58% and 81% of patients, respectively, leading to both significant underestimation and overestimation of risk.10

This review provides the tools to identify when anticoagulation is indicated, reports the advantages and disadvantages of the currently available anticoagulants, and discusses the selection and implementation of rate- vs rhythm-control strategies. But first, a word about the etiology, classification, and diagnosis of AF.

AF: The result of any number of cardiac and non-cardiac causes

AF is characterized by uncoordinated activation of the atria, which results in ineffective atrial contractions and an irregular, often rapid, ventricular response. It is the ultimate clinical manifestation of multiple diseases that alter atrial tissue through inflammation, fibrosis, or hypertrophy.5 The most common causes are hypertension, coronary artery disease, HF, cardiomyopathies, and valvular heart disease, all of which stimulate the renin-angiotensin-aldosterone system, leading to increased susceptibility to arrhythmia.5 Atrial ectopic tachycardia, Wolff-Parkinson-White (WPW) syndrome, and atrioventricular (AV) nodal reentrant tachycardia also may precipitate AF.5 In these cases, AF usually resolves after catheter ablation (CA) of the primary arrhythmia.11 Unrecognized AF may trigger atrial flutter, and more than 80% of patients who undergo radiofrequency ablation for atrial flutter experience AF at some point in the subsequent 5 years.12

Strokes related to atrial fibrillation are more likely to result in severe disability or death when compared with those unrelated to AF. And yet anticoagulation remains underutilized.

Non-cardiac causes of AF include sleep apnea, obesity, hyperthyroidism, drugs, electrocution, pneumonia, and pulmonary embolism.5 An association between binge drinking and AF (“holiday heart syndrome”) has long been recognized. The evidence now suggests that alcohol increases the risk of AF in a dose-dependent manner with intakes of ≥1 drink per day (12 g per drink).13

Classification schema no longer includes “lone AF”

AF is classified in terms of the duration of episodes:5

  • Paroxysmal AF is characterized by brief episodes that terminate spontaneously or with intervention within 7 days of onset. These episodes recur with variable frequency.
  • Persistent AF refers to AF that is continuously sustained for more than 7 days.
  • Longstanding persistent AF refers to continuous AF that lasts longer than 12 months.
  • Permanent AF is not an inherent pathophysiologic attribute of AF, but rather an acceptance of AF where the patient and physician abandon further efforts to restore and/or maintain sinus rhythm.
  • Nonvalvular AF occurs in the absence of a valve replacement (mechanical or bioprosthetic), rheumatic mitral stenosis, or mitral valve repair.

Although paroxysmal and persistent AF may occur in the same individual, the distinction is still clinically relevant, as outcomes of certain therapies, such as CA, are superior in patients with paroxysmal AF.14 With a more complete understanding of AF pathophysiology, guidelines now discourage use of the potentially confusing term “lone AF,” which has historically been applied to younger patients with no known clinical risk factors or echocardiographic abnormalities. As a result, therapeutic decisions are no longer based on this nomenclature, according to the 2014 AF practice guideline from the American College of Cardiology (ACC)/American Heart Association (AHA)/Heart Rhythm Society (HRS).5

 

 

 

Patient complaints—or incidental findings—can prompt a Dx

Fatigue is the most common symptom of AF. Other signs and symptoms include palpitations, dyspnea, HF, hypotension, syncope, chest pain, and stroke. Some patients are asymptomatic, and AF is an incidental finding when an irregular pulse is discovered during a physical examination. The diagnosis is confirmed by electrocardiogram (EKG), telemetry, Holter monitor, event recorder, or an implanted electrocardiographic recording device. A chest x-ray, serum electrolyte levels, a complete blood count, thyroid testing, and renal and hepatic function testing are recommended. Transthoracic echocardiography to measure cardiac function, detect underlying structural heart disease, and evaluate atrial size is essential.5

Warfarin remains the only recommended anticoagulation strategy for patients with severe renal impairment or valvular atrial fibrillation.

An electrophysiologic (EP) study may be needed for diagnosis or treatment if another arrhythmia is present. Aberrant conduction may cause AF to present as a wide complex tachycardia and be mislabeled as ventricular tachycardia. The presence of delta waves is an indication for an EP study targeting the WPW accessory pathway. Transesophageal echocardiography (TEE) is the most sensitive and specific test for left atrial thrombi. If you are considering a TEE for a patient with AF of unknown, or >48 hours’, duration who has not been anticoagulated in the preceding 3 weeks, obtain it before performing cardioversion because of the risk of embolism.5

Stroke prevention

The ACC/AHA/HRS AF guideline recommends basing anticoagulation decisions on thromboembolic risk, regardless of AF pattern (paroxysmal, persistent, or permanent) (Class I recommendation).5 For patients with nonvalvular AF and atrial flutter, the guideline recommends using the Birmingham 2009 schema (CHA2DS2-VASc score) (TABLE 115-18) to estimate thromboembolic risk.5,15 CHA2DS2-VASc improves on the older CHADS2 score by significantly reducing the number of patients categorized as having intermediate risk and better identifying truly low-risk patients who are unlikely to benefit from anticoagulation.16,17,19

Men with a CHA2DS2-VASc score of zero and women with a score of one do not need anticoagulation.5,20 Discuss the risks and benefits of oral anticoagulation with men who have a score of one. In these intermediate-risk men, antiplatelet therapy with aspirin and/or clopidogrel may be reasonable, especially if there is an indication other than stroke prevention (eg, post-myocardial infarction). Oral anticoagulation is strongly recommended for all patients with a CHA2DS2-VASc score of 2 or higher.5,18,21,22

Anticoagulant considerations: Warfarin vs DOACs

Warfarin was the gold standard for stroke prevention in nonvalvular AF until the direct oral anticoagulants (DOACs) became available in 2010. Guidelines in the United States and the United Kingdom recommend shared decision-making to help patients with AF who do not have a specific indication for warfarin choose between warfarin and the DOACs.5,21 Canadian and European guidelines recommend DOACs as the first-line option for anticoagulation and reserve warfarin for patients who have contraindications to, or are unable to afford, DOACs.18,22 All current guidelines recommend continuing warfarin in patients who are stable, well controlled, and satisfied with warfarin therapy and the monitoring and dietary restrictions it entails.

DOACs are as effective as warfarin. All of the DOACs are approved for stroke prevention based on individual phase III non-inferiority trials in which they were compared to warfarin.23-26 In addition, a meta-analysis of these 4 trials involving a total of 71,683 patients (mean age 70-73 years; median follow-up, 1.8-2.8 years) evaluated the benefits and risks of the 4 DOACs against the former gold standard.27

Higher doses of the DOACs (dabigatran 150 mg BID, rivaroxaban 20 mg/d, edoxaban 60 mg/d, and apixaban 5 mg BID) reduced the rates of stroke or systemic embolism (relative risk [RR]=0.81; 95% confidence interval [CI], 0.73-0.91; P<.0001; number needed to treat [NNT]=147), hemorrhagic stroke (RR=0.49; 95% CI, 0.38-0.64; P<.0001; NNT=219), and all-cause mortality (RR=0.90; 95% CI, 0.85-0.95; P=.0003; NNT=128), compared with warfarin.27 It is important to note that while lower doses of some DOACs (dabigatran 110 mg BID and edoxaban 30 mg/d) were not as effective at preventing ischemic stroke when compared with warfarin (RR=1.3; 95% CI, 1-1.6; P=.045), they still significantly reduced hemorrhagic stroke (RR=0.33; 95% CI, 0.23-0.46; P<.0001) and all-cause mortality (RR=0.89; 95% CI, 0.83-0.96; P=.003).

Of course, the biggest concern is bleeding. In that same meta-analysis, the difference in major bleeding events with DOACs vs warfarin was not statistically significant (RR=0.86; 95% CI, 0.73-1; P=.06). While DOACs likely lower rates of intracranial hemorrhage (RR=0.48; 95% CI, 0.39-0.59; P<.0001; NNT=132), they seem to increase the risk of gastrointestinal (GI) bleeding (RR=1.3; 95% CI, 1-1.6; P=.043; number needed to harm [NNH]=185).27

Without head-to-head trials, it is impossible to know if one direct oral anticoagulant is superior to another.

There was significant heterogeneity in the GI bleeding outcome, however. When compared with warfarin, GI bleeding was increased by dabigatran 150 mg BID (RR=1.5; 95% CI, 1.2-1.9; P<.001) and edoxaban 60 mg/d (HR=1.2; 95% CI, 1.02-1.5; P=.03), but there were no significant differences for dabigatran 110 mg BID or apixaban 5 mg BID.23,25,26

On the other hand, edoxaban 30 mg/d had a lower risk of GI bleeding when compared with warfarin (HR=0.67; 95% CI, 0.53-0.83; P<.001).25 Without head-to-head trials, it is impossible to know if one DOAC is superior to another. Apixaban 5 mg BID appears to offer the best overall balance between efficacy and safety. Other DOACs may be better options for patients who have specific concerns regarding efficacy or safety.28,29

Convenience, interactions, and cost may be the deciding factors. Since all DOACs are fairly comparable in efficacy and safety, other factors such as convenience, interactions with other medications, and cost should be considered when deciding on a medication for an individual patient (TABLE 230,31). The DOACs require no lab monitoring or dose titration, and all 4 have fewer potential drug interactions than warfarin.30 Due to their relatively short half-lives, strict adherence is critical; DOACs are not suitable for patients who frequently miss doses.5 (For more information on starting or switching to DOACs, see, “Is a novel anticoagulant right for your patient?J Fam Pract. 2014;63:22-28.)

A word about DOACs and renal impairment. Another concern with DOACs is their reliance on renal metabolism and excretion. A meta-analysis of the 4 phase III trials of the DOACs, this time involving 58,338 patients, evaluated DOAC efficacy and safety compared to warfarin in the presence of kidney dysfunction.32 Renal function was categorized as normal (estimated glomerular filtration rate [eGFR] >80 mL/min/1.73 m2), mildly impaired (eGFR 50-80 mL/min/1.73 m2), or moderately impaired (eGFR <50 mL/min/1.73m2). Compared with warfarin, DOACs lowered stroke risk in patients with mild (RR=0.71; 95% CI, 0.62-0.81) or moderate (RR=0.79; 95% CI, 0.66-0.94) renal impairment. DOACs also reduced major bleeding compared to warfarin in patients with mild (RR=0.88; 95% CI, 0.80-0.97) or moderate (RR=0.80; 95% CI, 0.66-0.94) renal impairment. How the DOACs fare in patients with severe renal dysfunction could not be determined because such patients were excluded from the trials.

Keep in mind that the DOACs require dose adjustment at different levels of renal impairment (TABLE 230,31), and warfarin remains the only recommended treatment for patients with severe renal impairment, according to both AHA/ACC/HRS and European Society of Cardiology guidelines.5,18

 

 

 

Tools to help assess patients’ bleeding risk

Of the available scoring mechanisms to identify risk factors for bleeding, 3 have been specifically validated in AF populations (ie, ATRIA,33 HEMORR2HAGES,34 and HAS-BLED35). Of the 3, HAS-BLED is superior,36 the most practical, and recommended by expert guidelines.18,21,22 Additionally, HAS-BLED has good correlation with intracranial hemorrhage risk. The HAS-BLED score ranges from 0 to 9 points with one point assigned for each of the following:35

  • Hypertension–uncontrolled with systolic BP >160 mm Hg
  • Abnormal liver function–cirrhosis, bilirubin >2× normal, or liver enzymes >3× normal
  • Abnormal renal function–dialysis, transplant, or serum creatinine >2.26 mg/dL
  • Stroke history–including lacunar infarcts
  • Bleeding predisposition–history of major bleeding due to any cause
  • Labile international normalized ratio (INR)–time in therapeutic range <60%
  • Elderly–age >65 years
  • Drug–antiplatelet agents, including nonsteroidal anti-inflammatory drugs
  • Alcohol usage–>8 drinks per week.

Patients with a HAS-BLED score ≥3 warrant additional monitoring and attempts to reduce bleeding risk by addressing modifiable risk factors. Bleeding risk scores should not be used to exclude patients from anticoagulation therapy.5 In fact, the British National Institute for Health and Clinical Excellence (NICE) guidelines state that anticoagulation should not be withheld solely due to fall risk.21

Also, anticoagulation with warfarin should not be permanently discontinued because of a single GI bleed, since restarting warfarin is associated with decreased risks of thromboembolism and mortality and a statistically insignificant increase in recurrent GI bleeding.37 Restarting DOAC therapy following a GI bleed has not been evaluated in clinical trials; however, it may be reasonable to use one of the DOAC doses with a lower risk of GI bleeding (dabigatran 110 mg BID, apixaban 5 mg BID, or edoxaban 30 mg/d) in patients who have experienced a GI bleed on warfarin or another DOAC.18,22

An online calculator is available that uses CHA2DS2-VASc and HAS-BLED scores to determine an individual’s risk/benefit profile with the various anticoagulation strategies available (http://www.sparctool.com). Consider percutaneous left atrial appendage occlusion if the risks of anticoagulation truly exceed the benefits.38

Rate control vs rhythm control

Most patients who present with AF require immediate ventricular rate control to reduce symptoms. In the acute setting, this can be accomplished with intravenous (IV) beta-blockers or IV calcium channel antagonists.5,39 If the patient is hemodynamically unstable, urgent direct-current cardioversion is the preferred treatment strategy and should not be delayed pending anticoagulation. IV amiodarone can be used in the ICU patient who does not require cardioversion, but is unable to tolerate beta-blockers or calcium channel antagonists.40 Once the patient is stable, long-term treatment focuses on ventricular rate control or restoration and maintenance of sinus rhythm.

Direct oral anticoagulants are not suitable for patients who frequently miss doses.

The AFFIRM (Atrial Fibrillation Follow-up Investigation of Rhythm Management) trial enrolled 4060 patients (mean age 70 years, mean follow-up 3.5 years) with paroxysmal and persistent AF and randomized them to either pharmacologic rate control or rhythm control.41 No significant differences were found in all-cause mortality or in the composite secondary endpoint of death, ischemic stroke, anoxic encephalopathy, major bleeding, or cardiac arrest. In addition, no significant differences emerged in quality of life or global functional status. The number of patients requiring hospitalization during follow-up was significantly lower in the rate-control group vs the rhythm-control group (73% vs 80%; P<.001). Anticoagulation was encouraged but not mandated in the rhythm-control group after 4 weeks in sinus rhythm, and there was a trend toward higher mortality in the rhythm-control group (27% vs 26%; P=.08).

Patients <65 years were excluded from the AFFIRM trial. When younger patients experience significant symptoms, early referral to Cardiology should be considered to discuss the long-term benefits and risks of a rhythm-control strategy. Regardless of age, when patients remain symptomatic despite rate- or rhythm-control management, the strategy should be changed.5

Rate-control targets and options

Target heart rates should be individualized. The 2014 ACC/AHA/HRS guideline recommends a resting target heart rate <80 beats per minute (bpm) in symptomatic patients.5 In patients with permanent AF who remain asymptomatic at higher resting heart rates, a more lenient rate-control strategy (resting heart rate <110 bpm) has demonstrated outcomes equivalent to those of a more strict approach (resting heart rate <80 bpm and heart rate during moderate exercise <110 bpm).42 Pharmacologic rate-control options include beta-blockers, non-dihydropyridine calcium channel antagonists, and digoxin (TABLE 35). Digoxin is associated with increased all-cause mortality in patients with AF regardless of HF status (HR=1.4; 95% CI, 1.2-1.6, P=.0001).43 Digoxin should be reserved for patients who are sedentary or have inadequate control with first-line medications.5

 

 

 

Indications for rhythm control

The NICE guidelines, which are consistent with the ACC/AHA/HRS guidelines, recommend rate control as the first-line strategy for AF management, except in people:21

  • whose AF has a reversible cause
  • who have HF believed to be primarily caused by AF
  • with new-onset AF
  • with atrial flutter that is considered suitable for an ablation strategy to restore sinus rhythm
  • for whom a rhythm-control strategy would be more suitable based on clinical judgment.

In addition, patients who continue to experience symptomatic AF despite an adequate trial of rate control should be offered rhythm control.5

Pharmacologic rhythm-control strategies. Antiarrhythmic drugs can be used for chemical cardioversion, reduction of paroxysms, and long-term maintenance of sinus rhythm. The most commonly used antiarrhythmic drugs are Class IC and Class III agents (TABLE 3).5 Tailored drug selection for each patient is key. Patients with left atrial diameters >4.5 cm are less likely to remain in sinus rhythm, and patients with left ventricular hypertrophy are at increased risk for proarrhythmic adverse effects.44 Patients with paroxysmal AF may be candidates for a “pill-in-the-pocket” strategy using propafenone or flecainide.5

AF frequently progresses from paroxysmal to persistent and can subsequently result in electrical and structural remodeling that becomes irreversible over time.45 The patient with uncontrolled symptoms despite attempts at rate control and rhythm control should be promptly referred to an electrophysiologist.

Surgical interventions for rate or rhythm control

Electrophysiology interventions include AV nodal ablation with pacemaker placement for rate control, or catheter-directed ablation (radiofrequency or cryotherapy) for rhythm control. CA appears to be more effective than pharmacologic rhythm control.46,47 Treatment with CA is indicated for symptomatic paroxysmal AF when a rhythm-control strategy is desired and the AF is refractory to, or the patient is intolerant of, at least one class I or III antiarrhythmic medication.5 With these same caveats, CA is a reasonable strategy for symptomatic persistent AF.

Consider more invasive interventions, such as an atrial maze procedure, when patients require cardiac surgery for another indication. Patients with an increased risk of thromboembolism (based on CHA2DS2-VASc) remain at high risk even after successful ablation.48 As a result, some guidelines recommend continued long-term anticoagulation following CA.18,22

CORRESPONDENCE
Philip Dooley, MD, University of Kansas School of Medicine–Wichita Family Medicine Residency at Via Christi, 707 North Emporia, Wichita, KS 67207; [email protected].

ACKNOWLEDGMENTS
We thank Professor Anne Walling, MB, ChB, FFPHM, Department of Family and Community Medicine, University of Kansas School of Medicine–Wichita for her suggestions and critical review of an earlier version of this manuscript.

References

1. Go AS, Hylek EM, Phillips KA, et al. Prevalence of diagnosed atrial fibrillation in adults. National implications for Rhythm Management and Stroke Prevention: The AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. JAMA. 2001;285:2370-2375.

2. Kannel WB, Wolf PA, Benjamin EJ, et al. Prevalence, incidence, prognosis, and predisposing conditions for atrial fibrillation: population-based estimates. Am J Cardiol. 1998;82:2N-9N.

3. Krahn AD, Manfreda J, Tate RB, et al. The natural history of atrial fibrillation: incidence, risk factors, and prognosis in the Manitoba follow-up study. Am J Med. 1995;98:476-484.

4. Ott A, Breteler MMB, de Bruyne MC, et al. Atrial fibrillation and dementia in a population-based study: The Rotterdam Study. Stroke. 1997;28:316-321.

5. January CT, Wann L, Alpert JS, et al. 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society. J Am Coll Cardiol. 2014;64:e1-e76.

6. Lin HJ, Wolf PA, Kelly-Hayes M, et al. Stroke severity in atrial fibrillation. Stroke. 1996;27:1760-1764.

7. Hsu JC, Maddox TM, Kennedy KF, et al. Oral anticoagulant therapy prescription in patients with atrial fibrillation across the spectrum of stroke risk: insights from the NCDR PINNACLE registry. JAMA Cardiol. 2016;1:55-62.

8. Olesen JB, Lip GY, Lindhardsen J, et al. Risks of thromboembolism and bleeding with thromboprophylaxis in patients with atrial fibrillation: a net clinical benefit analysis using a ‘real world’ nationwide cohort study. Thromb Haemost. 2011;106:739-749.

9. Steinberg BA, Kim S, Thomas L, et al. Lack of concordance between empirical scores and physician assessments of stroke and bleeding risk in atrial fibrillation: results from the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT-AF) registry. Circulation. 2014;129:2005-2012.

10. Angaran P, Dorian P, Tan MK, et al. The risk stratification and stroke prevention therapy care gap in Canadian atrial fibrillation patients. Can J Cardiol. 2016;32:336-343.

11. Waldo AL, Feld GK. Inter-relationships of atrial fibrillation and atrial flutter: mechanisms and clinical implications. J Am Coll Cardiol. 2008;51:779-786.

12. Ellis K, Wazni O, Marrouche N, et al. Incidence of atrial fibrillation post-cavotricuspid isthmus ablation in patients with typical atrial flutter: left-atrial size as an independent predictor of atrial fibrillation recurrence. J Cardiovasc Electrophysiol. 2007;18:799-802.

13. Larsson SC, Drca N, Wolk A. Alcohol consumption and risk of atrial fibrillation: a prospective study and dose-response meta-analysis. J Am Coll Cardiol. 2014;64:281-289.

14. Calkins H, Kuck KH, Cappato R, et al. 2012 HRS/EHRA/ECAS expert consensus statement on catheter and surgical ablation of atrial fibrillation: recommendations for patient selection, procedural techniques, patient management and follow-up, definitions, endpoints, and research trial design. J Interv Card Electrophysiol. 2012;33:171-257.

15. Lip GY, Nieuwlaat R, Pisters R, et al. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the Euro Heart Survey on Atrial Fibrillation. Chest. 2010;137:263-272.

16. Lip GYH, Frison L, Halperin JL, et al. Identifying patients at high risk for stroke despite anticoagulation: a comparison of contemporary stroke risk stratification schemes in an anticoagulated atrial fibrillation cohort. Stroke. 2010;41:2731-2738.

17. Olesen JB, Lip GYH, Hansen ML, et al. Validation of risk stratification schemes for predicting stroke and thromboembolism in patients with atrial fibrillation: nationwide cohort study. BMJ. 2011;342:d124.

18. Camm AJ, Lip GYH, De Caterina R, et al. 2012 focused update of the ESC Guidelines for the management of atrial fibrillation: an update of the 2010 ESC Guidelines for the management of atrial fibrillation. Developed with the special contribution of the European Heart Rhythm Association. Eur Heart J. 2012;33:2719-2747.

19. Olesen JB, Torp-Pedersen C, Hansen ML, et al. The value of the CHA2DS2-VASc score for refining stroke risk stratification in patients with atrial fibrillation with a CHADS2 score 0-1: a nationwide cohort study. Thromb Haemost. 2012;107:1172-1179.

20. Friberg L, Benson L, Rosenqvist M, et al. Assessment of female sex as a risk factor in atrial fibrillation in Sweden: nationwide retrospective cohort study. BMJ. 2012;344:e3522.

21. National Institute for Health and Clinical Excellence (NICE). Atrial fibrillation: the management of atrial fibrillation [CG180]. 2014. Available at: https://www.nice.org.uk/guidance/cg180. Accessed July 31, 2016.

22. Verma A, Cairns JA, Mitchell LB, et al. 2014 focused update of the Canadian Cardiovascular Society Guidelines for the management of atrial fibrillation. Can J Cardiol. 2014;30:1114-1130.

23. Connolly SJ, Ezekowitz MD, Yusuf S, et al. Dabigatran versus warfarin in patients with atrial fibrillation. N Engl J Med. 2009;361:1139-1151.

24. Patel MR, Mahaffey KW, Garg J, et al. Rivaroxaban versus warfarin in nonvalvular atrial fibrillation. N Engl J Med. 2011;365:883-891.

25. Giugliano RP, Ruff CT, Braunwald E, et al. Edoxaban versus warfarin in patients with atrial fibrillation. N Engl J Med. 2013;369:2093-2104.

26. Granger CB, Alexander JH, McMurray JJV, et al. Apixaban versus warfarin in patients with atrial fibrillation. N Engl J Med. 2011;365:981-992.

27. Ruff CT, Giugliano RP, Braunwald E, et al. Comparison of the efficacy and safety of new oral anticoagulants with warfarin in patients with atrial fibrillation: a meta-analysis of randomised trials. Lancet. 2014;383:955-962.

28. Morimoto T, Crawford B, Wada K, et al. Comparative efficacy and safety of novel oral anticoagulants in patients with atrial fibrillation: a network meta-analysis with the adjustment for the possible bias from open label studies. J Cardiol. 2015;66:466-474.

29. Verdecchia P, Angeli F, Bartolini C, et al. Safety and efficacy of non-vitamin K oral anticoagulants in non-valvular atrial fibrillation: a Bayesian meta-analysis approach. Expert Opin Drug Saf. 2015;14:7-20.

30. Micromedex® 2.0 (electronic version). Truven Health Analytics, Greenwood Village, Colorado, USA. Available at: http://www.micromedexsolutions.com. Accessed August 18, 2016.

31. GoodRx. Available at: https://www.goodrx.com. Accessed August 18, 2016.

32. Del-Carpio Munoz F, Gharacholou SM, Munger TM, et al. Meta-analysis of renal function on the safety and efficacy of novel oral anticoagulants for atrial fibrillation. Am J Cardiol. 2016;117:69-75.

33. Fang MC, Go AS, Chang Y, et al. A new risk scheme to predict warfarin-associated hemorrhage: the ATRIA (Anticoagulation and Risk Factors in Atrial Fibrillation) Study. J Am Coll Cardiol. 2011;58:395-401.

34. Gage BF, Yan Y, Milligan PE, et al. Clinical classification schemes for predicting hemorrhage: results from the National Registry of Atrial Fibrillation (NRAF). Am Heart J. 2006;151:713-719.

35. Pisters R, Lane DA, Nieuwlaat R, et al. A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey. Chest. 2010;138:1093-1100.

36. Zhu W, He W, Guo L, et al. The HAS-BLED Score for predicting major bleeding risk in anticoagulated patients with atrial fibrillation: a systematic review and meta-analysis. Clin Cardiol. 2015;38:555-561.

37. Chai-Adisaksopha C, Hillis C, Monreal M, et al. Thromboembolic events, recurrent bleeding and mortality after resuming anticoagulant following gastrointestinal bleeding. A meta-analysis. Thromb Haemost. 2015;114:819-825.

38. Xu H, Xie X, Wang B, et al. Efficacy and safety of percutaneous left atrial appendage occlusion for stroke prevention in nonvalvular atrial fibrillation: a meta-analysis of contemporary studies. Heart Lung Circ. 2016;25:1107-1117.

39. Siu CW, Lau CP, Lee WL, et al. Intravenous diltiazem is superior to intravenous amiodarone or digoxin for achieving ventricular rate control in patients with acute uncomplicated atrial fibrillation. Crit Care Med. 2009;37:2174-2179.

40. Clemo HF, Wood MA, Gilligan DM, et al. Intravenous amiodarone for acute heart rate control in the critically ill patient with atrial tachyarrhythmias. Am J Cardiol. 1998;81:594-598.

41. The Atrial Fibrillation Follow-Up Investigation of Rhythm Management (AFFIRM) Investigators. A comparison of rate control and rhythm control in patients with atrial fibrillation. N Engl J Med. 2002;347:1825-1833.

42. Van Gelder IC, Groenveld HF, Crijns HJGM, et al. Lenient versus strict rate control in patients with atrial fibrillation. N Engl J Med. 2010;362:1363-1373.

43. Wang ZQ, Zhang R, Chen MT, et al. Digoxin is associated with increased all-cause mortality in patients with atrial fibrillation regardless of concomitant heart failure: a meta-analysis. J Cardiovasc Pharmacol. 2015;66:270-275.

44. Olshansky B, Heller EN, Mitchell LB, et al. Are transthoracic echocardiographic parameters associated with atrial fibrillation recurrence or stroke? Results from the Atrial Fibrillation Follow-Up Investigation of Rhythm Management (AFFIRM) study. J Am Coll Cardiol. 2005;45:2026-2033.

45. de Vos CB, Pisters R, Nieuwlaat R, et al. Progression from paroxysmal to persistent atrial fibrillation: clinical correlates and prognosis. J Am Coll Cardiol. 2010;55:725-731.

46. Cheng X, Li X, He Y, et al. Catheter ablation versus anti-arrhythmic drug therapy for the management of atrial fibrillation: a meta-analysis. J Interv Card Electrophysiol. 2014;41:267-272.

47. Di Biase L, Mohanty P, Mohanty S, et al. Ablation versus amiodarone for treatment of persistent atrial fibrillation in patients with congestive heart failure and an implanted device: results from the AATAC multicenter randomized trial. Circulation. 2016;133:1637-1644.

48. Jacobs V, May HT, Bair TL, et al. The impact of risk score (CHADS2 versus CHA2DS2-VASc) on long-term outcomes after atrial fibrillation ablation. Heart Rhythm. 2015;12:681-686.

References

1. Go AS, Hylek EM, Phillips KA, et al. Prevalence of diagnosed atrial fibrillation in adults. National implications for Rhythm Management and Stroke Prevention: The AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. JAMA. 2001;285:2370-2375.

2. Kannel WB, Wolf PA, Benjamin EJ, et al. Prevalence, incidence, prognosis, and predisposing conditions for atrial fibrillation: population-based estimates. Am J Cardiol. 1998;82:2N-9N.

3. Krahn AD, Manfreda J, Tate RB, et al. The natural history of atrial fibrillation: incidence, risk factors, and prognosis in the Manitoba follow-up study. Am J Med. 1995;98:476-484.

4. Ott A, Breteler MMB, de Bruyne MC, et al. Atrial fibrillation and dementia in a population-based study: The Rotterdam Study. Stroke. 1997;28:316-321.

5. January CT, Wann L, Alpert JS, et al. 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society. J Am Coll Cardiol. 2014;64:e1-e76.

6. Lin HJ, Wolf PA, Kelly-Hayes M, et al. Stroke severity in atrial fibrillation. Stroke. 1996;27:1760-1764.

7. Hsu JC, Maddox TM, Kennedy KF, et al. Oral anticoagulant therapy prescription in patients with atrial fibrillation across the spectrum of stroke risk: insights from the NCDR PINNACLE registry. JAMA Cardiol. 2016;1:55-62.

8. Olesen JB, Lip GY, Lindhardsen J, et al. Risks of thromboembolism and bleeding with thromboprophylaxis in patients with atrial fibrillation: a net clinical benefit analysis using a ‘real world’ nationwide cohort study. Thromb Haemost. 2011;106:739-749.

9. Steinberg BA, Kim S, Thomas L, et al. Lack of concordance between empirical scores and physician assessments of stroke and bleeding risk in atrial fibrillation: results from the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT-AF) registry. Circulation. 2014;129:2005-2012.

10. Angaran P, Dorian P, Tan MK, et al. The risk stratification and stroke prevention therapy care gap in Canadian atrial fibrillation patients. Can J Cardiol. 2016;32:336-343.

11. Waldo AL, Feld GK. Inter-relationships of atrial fibrillation and atrial flutter: mechanisms and clinical implications. J Am Coll Cardiol. 2008;51:779-786.

12. Ellis K, Wazni O, Marrouche N, et al. Incidence of atrial fibrillation post-cavotricuspid isthmus ablation in patients with typical atrial flutter: left-atrial size as an independent predictor of atrial fibrillation recurrence. J Cardiovasc Electrophysiol. 2007;18:799-802.

13. Larsson SC, Drca N, Wolk A. Alcohol consumption and risk of atrial fibrillation: a prospective study and dose-response meta-analysis. J Am Coll Cardiol. 2014;64:281-289.

14. Calkins H, Kuck KH, Cappato R, et al. 2012 HRS/EHRA/ECAS expert consensus statement on catheter and surgical ablation of atrial fibrillation: recommendations for patient selection, procedural techniques, patient management and follow-up, definitions, endpoints, and research trial design. J Interv Card Electrophysiol. 2012;33:171-257.

15. Lip GY, Nieuwlaat R, Pisters R, et al. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the Euro Heart Survey on Atrial Fibrillation. Chest. 2010;137:263-272.

16. Lip GYH, Frison L, Halperin JL, et al. Identifying patients at high risk for stroke despite anticoagulation: a comparison of contemporary stroke risk stratification schemes in an anticoagulated atrial fibrillation cohort. Stroke. 2010;41:2731-2738.

17. Olesen JB, Lip GYH, Hansen ML, et al. Validation of risk stratification schemes for predicting stroke and thromboembolism in patients with atrial fibrillation: nationwide cohort study. BMJ. 2011;342:d124.

18. Camm AJ, Lip GYH, De Caterina R, et al. 2012 focused update of the ESC Guidelines for the management of atrial fibrillation: an update of the 2010 ESC Guidelines for the management of atrial fibrillation. Developed with the special contribution of the European Heart Rhythm Association. Eur Heart J. 2012;33:2719-2747.

19. Olesen JB, Torp-Pedersen C, Hansen ML, et al. The value of the CHA2DS2-VASc score for refining stroke risk stratification in patients with atrial fibrillation with a CHADS2 score 0-1: a nationwide cohort study. Thromb Haemost. 2012;107:1172-1179.

20. Friberg L, Benson L, Rosenqvist M, et al. Assessment of female sex as a risk factor in atrial fibrillation in Sweden: nationwide retrospective cohort study. BMJ. 2012;344:e3522.

21. National Institute for Health and Clinical Excellence (NICE). Atrial fibrillation: the management of atrial fibrillation [CG180]. 2014. Available at: https://www.nice.org.uk/guidance/cg180. Accessed July 31, 2016.

22. Verma A, Cairns JA, Mitchell LB, et al. 2014 focused update of the Canadian Cardiovascular Society Guidelines for the management of atrial fibrillation. Can J Cardiol. 2014;30:1114-1130.

23. Connolly SJ, Ezekowitz MD, Yusuf S, et al. Dabigatran versus warfarin in patients with atrial fibrillation. N Engl J Med. 2009;361:1139-1151.

24. Patel MR, Mahaffey KW, Garg J, et al. Rivaroxaban versus warfarin in nonvalvular atrial fibrillation. N Engl J Med. 2011;365:883-891.

25. Giugliano RP, Ruff CT, Braunwald E, et al. Edoxaban versus warfarin in patients with atrial fibrillation. N Engl J Med. 2013;369:2093-2104.

26. Granger CB, Alexander JH, McMurray JJV, et al. Apixaban versus warfarin in patients with atrial fibrillation. N Engl J Med. 2011;365:981-992.

27. Ruff CT, Giugliano RP, Braunwald E, et al. Comparison of the efficacy and safety of new oral anticoagulants with warfarin in patients with atrial fibrillation: a meta-analysis of randomised trials. Lancet. 2014;383:955-962.

28. Morimoto T, Crawford B, Wada K, et al. Comparative efficacy and safety of novel oral anticoagulants in patients with atrial fibrillation: a network meta-analysis with the adjustment for the possible bias from open label studies. J Cardiol. 2015;66:466-474.

29. Verdecchia P, Angeli F, Bartolini C, et al. Safety and efficacy of non-vitamin K oral anticoagulants in non-valvular atrial fibrillation: a Bayesian meta-analysis approach. Expert Opin Drug Saf. 2015;14:7-20.

30. Micromedex® 2.0 (electronic version). Truven Health Analytics, Greenwood Village, Colorado, USA. Available at: http://www.micromedexsolutions.com. Accessed August 18, 2016.

31. GoodRx. Available at: https://www.goodrx.com. Accessed August 18, 2016.

32. Del-Carpio Munoz F, Gharacholou SM, Munger TM, et al. Meta-analysis of renal function on the safety and efficacy of novel oral anticoagulants for atrial fibrillation. Am J Cardiol. 2016;117:69-75.

33. Fang MC, Go AS, Chang Y, et al. A new risk scheme to predict warfarin-associated hemorrhage: the ATRIA (Anticoagulation and Risk Factors in Atrial Fibrillation) Study. J Am Coll Cardiol. 2011;58:395-401.

34. Gage BF, Yan Y, Milligan PE, et al. Clinical classification schemes for predicting hemorrhage: results from the National Registry of Atrial Fibrillation (NRAF). Am Heart J. 2006;151:713-719.

35. Pisters R, Lane DA, Nieuwlaat R, et al. A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey. Chest. 2010;138:1093-1100.

36. Zhu W, He W, Guo L, et al. The HAS-BLED Score for predicting major bleeding risk in anticoagulated patients with atrial fibrillation: a systematic review and meta-analysis. Clin Cardiol. 2015;38:555-561.

37. Chai-Adisaksopha C, Hillis C, Monreal M, et al. Thromboembolic events, recurrent bleeding and mortality after resuming anticoagulant following gastrointestinal bleeding. A meta-analysis. Thromb Haemost. 2015;114:819-825.

38. Xu H, Xie X, Wang B, et al. Efficacy and safety of percutaneous left atrial appendage occlusion for stroke prevention in nonvalvular atrial fibrillation: a meta-analysis of contemporary studies. Heart Lung Circ. 2016;25:1107-1117.

39. Siu CW, Lau CP, Lee WL, et al. Intravenous diltiazem is superior to intravenous amiodarone or digoxin for achieving ventricular rate control in patients with acute uncomplicated atrial fibrillation. Crit Care Med. 2009;37:2174-2179.

40. Clemo HF, Wood MA, Gilligan DM, et al. Intravenous amiodarone for acute heart rate control in the critically ill patient with atrial tachyarrhythmias. Am J Cardiol. 1998;81:594-598.

41. The Atrial Fibrillation Follow-Up Investigation of Rhythm Management (AFFIRM) Investigators. A comparison of rate control and rhythm control in patients with atrial fibrillation. N Engl J Med. 2002;347:1825-1833.

42. Van Gelder IC, Groenveld HF, Crijns HJGM, et al. Lenient versus strict rate control in patients with atrial fibrillation. N Engl J Med. 2010;362:1363-1373.

43. Wang ZQ, Zhang R, Chen MT, et al. Digoxin is associated with increased all-cause mortality in patients with atrial fibrillation regardless of concomitant heart failure: a meta-analysis. J Cardiovasc Pharmacol. 2015;66:270-275.

44. Olshansky B, Heller EN, Mitchell LB, et al. Are transthoracic echocardiographic parameters associated with atrial fibrillation recurrence or stroke? Results from the Atrial Fibrillation Follow-Up Investigation of Rhythm Management (AFFIRM) study. J Am Coll Cardiol. 2005;45:2026-2033.

45. de Vos CB, Pisters R, Nieuwlaat R, et al. Progression from paroxysmal to persistent atrial fibrillation: clinical correlates and prognosis. J Am Coll Cardiol. 2010;55:725-731.

46. Cheng X, Li X, He Y, et al. Catheter ablation versus anti-arrhythmic drug therapy for the management of atrial fibrillation: a meta-analysis. J Interv Card Electrophysiol. 2014;41:267-272.

47. Di Biase L, Mohanty P, Mohanty S, et al. Ablation versus amiodarone for treatment of persistent atrial fibrillation in patients with congestive heart failure and an implanted device: results from the AATAC multicenter randomized trial. Circulation. 2016;133:1637-1644.

48. Jacobs V, May HT, Bair TL, et al. The impact of risk score (CHADS2 versus CHA2DS2-VASc) on long-term outcomes after atrial fibrillation ablation. Heart Rhythm. 2015;12:681-686.

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PRACTICE RECOMMENDATIONS

› Use the CHA2DS2-VASc score to assess the risk of thromboembolism, including ischemic stroke. A

› Consider prescribing a direct oral anticoagulant (DOAC) instead of warfarin for patients with nonvalvular atrial fibrillation (AF) because they are superior at preventing strokes and lowering all-cause mortality in this population. B

› Do not use a DOAC in patients with mechanical heart valves, hemodynamically significant mitral stenosis, or severe chronic kidney disease (estimated glomerular filtration rate [eGFR] <30 mL/min/1.73 m2). A

› Pursue a rate-control strategy for most patients with AF, although rhythm control may be preferable for younger (<65 years) symptomatic patients. A

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

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Chief, UW Division of Pain Medicine;
Clinical Professor, Department of Medicine and
Department of Anesthesiology & Pain Medicine
University of Washington, Seattle

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The Journal of Family Practice - 66(1)
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Rash on top of feet

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Fri, 01/18/2019 - 08:43
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Rash on top of feet

 

The FP suspected that contact dermatitis was to blame for the rash on the dorsum of the patient’s feet. This would have been an unlikely location for tinea pedis and the patient had already tried topical antifungal medications without any benefit. The FP asked the patient if he had purchased any new shoes or boots before the rash started, and the patient indicated that he’d purchased new running shoes about a year earlier.

The FP prescribed 0.1% triamcinolone cream to be applied twice daily. The FP recognized that patch testing might be indicated, but did not perform this in her office. She also recommended that the patient stay away from the running shoes at this time. One month later, the rash was 95% better, except for some postinflammatory hyperpigmentation that was likely to take months to fade. The patient was happy with the results, but wanted to know the cause of his allergy and what shoes would be safe to wear.

The FP offered the patient a referral to a local dermatologist who performed patch testing. The patient went for patch testing and learned he was allergic to chromates found in many types of leather. Statistically, the most likely offending allergens for a rash in this location would be formaldehyde or a chromate. Both are found in leather and are common allergens that cause contact dermatitis on the feet.

Allergic contact dermatitis to chromate in leather shoes may be seasonal as a result of the allergen being leached out by perspiration in warmer months. There are leather shoes that are made free of chromates for people who suffer from allergic contact dermatitis due to this allergen.


Photos and text for Photo Rounds Friday courtesy of Richard P. Usatine, MD. This case was adapted from: Usatine R, Reppa R. Tinea pedis. In: Usatine R, Smith M, Mayeaux EJ, et al, eds. Color Atlas of Family Medicine. 2nd ed. New York, NY: McGraw-Hill; 2013:799-804.

To learn more about the Color Atlas of Family Medicine, see: www.amazon.com/Color-Family-Medicine-Richard-Usatine/dp/0071769641/

You can now get the second edition of the Color Atlas of Family Medicine as an app by clicking on this link: usatinemedia.com

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The Journal of Family Practice - 65(12)
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The FP suspected that contact dermatitis was to blame for the rash on the dorsum of the patient’s feet. This would have been an unlikely location for tinea pedis and the patient had already tried topical antifungal medications without any benefit. The FP asked the patient if he had purchased any new shoes or boots before the rash started, and the patient indicated that he’d purchased new running shoes about a year earlier.

The FP prescribed 0.1% triamcinolone cream to be applied twice daily. The FP recognized that patch testing might be indicated, but did not perform this in her office. She also recommended that the patient stay away from the running shoes at this time. One month later, the rash was 95% better, except for some postinflammatory hyperpigmentation that was likely to take months to fade. The patient was happy with the results, but wanted to know the cause of his allergy and what shoes would be safe to wear.

The FP offered the patient a referral to a local dermatologist who performed patch testing. The patient went for patch testing and learned he was allergic to chromates found in many types of leather. Statistically, the most likely offending allergens for a rash in this location would be formaldehyde or a chromate. Both are found in leather and are common allergens that cause contact dermatitis on the feet.

Allergic contact dermatitis to chromate in leather shoes may be seasonal as a result of the allergen being leached out by perspiration in warmer months. There are leather shoes that are made free of chromates for people who suffer from allergic contact dermatitis due to this allergen.


Photos and text for Photo Rounds Friday courtesy of Richard P. Usatine, MD. This case was adapted from: Usatine R, Reppa R. Tinea pedis. In: Usatine R, Smith M, Mayeaux EJ, et al, eds. Color Atlas of Family Medicine. 2nd ed. New York, NY: McGraw-Hill; 2013:799-804.

To learn more about the Color Atlas of Family Medicine, see: www.amazon.com/Color-Family-Medicine-Richard-Usatine/dp/0071769641/

You can now get the second edition of the Color Atlas of Family Medicine as an app by clicking on this link: usatinemedia.com

 

The FP suspected that contact dermatitis was to blame for the rash on the dorsum of the patient’s feet. This would have been an unlikely location for tinea pedis and the patient had already tried topical antifungal medications without any benefit. The FP asked the patient if he had purchased any new shoes or boots before the rash started, and the patient indicated that he’d purchased new running shoes about a year earlier.

The FP prescribed 0.1% triamcinolone cream to be applied twice daily. The FP recognized that patch testing might be indicated, but did not perform this in her office. She also recommended that the patient stay away from the running shoes at this time. One month later, the rash was 95% better, except for some postinflammatory hyperpigmentation that was likely to take months to fade. The patient was happy with the results, but wanted to know the cause of his allergy and what shoes would be safe to wear.

The FP offered the patient a referral to a local dermatologist who performed patch testing. The patient went for patch testing and learned he was allergic to chromates found in many types of leather. Statistically, the most likely offending allergens for a rash in this location would be formaldehyde or a chromate. Both are found in leather and are common allergens that cause contact dermatitis on the feet.

Allergic contact dermatitis to chromate in leather shoes may be seasonal as a result of the allergen being leached out by perspiration in warmer months. There are leather shoes that are made free of chromates for people who suffer from allergic contact dermatitis due to this allergen.


Photos and text for Photo Rounds Friday courtesy of Richard P. Usatine, MD. This case was adapted from: Usatine R, Reppa R. Tinea pedis. In: Usatine R, Smith M, Mayeaux EJ, et al, eds. Color Atlas of Family Medicine. 2nd ed. New York, NY: McGraw-Hill; 2013:799-804.

To learn more about the Color Atlas of Family Medicine, see: www.amazon.com/Color-Family-Medicine-Richard-Usatine/dp/0071769641/

You can now get the second edition of the Color Atlas of Family Medicine as an app by clicking on this link: usatinemedia.com

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The Journal of Family Practice - 65(12)
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Malodorous, itchy feet

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This patient was suffering from pitted keratolysis and interdigital tinea pedis. Pitted keratolysis is caused by the bacterium Kytococcus sedentarius. Like tinea pedis, moist and sweaty feet provide a great environment for growth of this organism. The patient admitted to having sweaty feet—especially while playing soccer for hours. He also didn’t use shower shoes in the gym shower.

In pitted keratolysis, the bacteria live on the dead cells of the stratum corneum of the sole and form visible pits. In interdigital tinea pedis, the skin between the toes is white in appearance.

The FP recommended that the patient wear shower shoes and change his socks during the day if they become sweaty. He also prescribed topical 2% erythromycin solution to apply twice daily to the area with visible pits. In addition, the FP recommended that the patient buy over-the-counter topical terbinafine cream and apply it between the toes once or twice daily—especially after drying his feet well after a shower. A month later, both infections were clear.

 

Photos and text for Photo Rounds Friday courtesy of Richard P. Usatine, MD. This case was adapted from: Usatine R, Reppa R. Tinea pedis. In: Usatine R, Smith M, Mayeaux EJ, et al, eds. Color Atlas of Family Medicine. 2nd ed. New York, NY: McGraw-Hill; 2013:799-804.

To learn more about the Color Atlas of Family Medicine, see: www.amazon.com/Color-Family-Medicine-Richard-Usatine/dp/0071769641/

You can now get the second edition of the Color Atlas of Family Medicine as an app by clicking on this link: usatinemedia.com

Issue
The Journal of Family Practice - 65(12)
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This patient was suffering from pitted keratolysis and interdigital tinea pedis. Pitted keratolysis is caused by the bacterium Kytococcus sedentarius. Like tinea pedis, moist and sweaty feet provide a great environment for growth of this organism. The patient admitted to having sweaty feet—especially while playing soccer for hours. He also didn’t use shower shoes in the gym shower.

In pitted keratolysis, the bacteria live on the dead cells of the stratum corneum of the sole and form visible pits. In interdigital tinea pedis, the skin between the toes is white in appearance.

The FP recommended that the patient wear shower shoes and change his socks during the day if they become sweaty. He also prescribed topical 2% erythromycin solution to apply twice daily to the area with visible pits. In addition, the FP recommended that the patient buy over-the-counter topical terbinafine cream and apply it between the toes once or twice daily—especially after drying his feet well after a shower. A month later, both infections were clear.

 

Photos and text for Photo Rounds Friday courtesy of Richard P. Usatine, MD. This case was adapted from: Usatine R, Reppa R. Tinea pedis. In: Usatine R, Smith M, Mayeaux EJ, et al, eds. Color Atlas of Family Medicine. 2nd ed. New York, NY: McGraw-Hill; 2013:799-804.

To learn more about the Color Atlas of Family Medicine, see: www.amazon.com/Color-Family-Medicine-Richard-Usatine/dp/0071769641/

You can now get the second edition of the Color Atlas of Family Medicine as an app by clicking on this link: usatinemedia.com

 

This patient was suffering from pitted keratolysis and interdigital tinea pedis. Pitted keratolysis is caused by the bacterium Kytococcus sedentarius. Like tinea pedis, moist and sweaty feet provide a great environment for growth of this organism. The patient admitted to having sweaty feet—especially while playing soccer for hours. He also didn’t use shower shoes in the gym shower.

In pitted keratolysis, the bacteria live on the dead cells of the stratum corneum of the sole and form visible pits. In interdigital tinea pedis, the skin between the toes is white in appearance.

The FP recommended that the patient wear shower shoes and change his socks during the day if they become sweaty. He also prescribed topical 2% erythromycin solution to apply twice daily to the area with visible pits. In addition, the FP recommended that the patient buy over-the-counter topical terbinafine cream and apply it between the toes once or twice daily—especially after drying his feet well after a shower. A month later, both infections were clear.

 

Photos and text for Photo Rounds Friday courtesy of Richard P. Usatine, MD. This case was adapted from: Usatine R, Reppa R. Tinea pedis. In: Usatine R, Smith M, Mayeaux EJ, et al, eds. Color Atlas of Family Medicine. 2nd ed. New York, NY: McGraw-Hill; 2013:799-804.

To learn more about the Color Atlas of Family Medicine, see: www.amazon.com/Color-Family-Medicine-Richard-Usatine/dp/0071769641/

You can now get the second edition of the Color Atlas of Family Medicine as an app by clicking on this link: usatinemedia.com

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Control of COPD Symptoms: Addressing an Unmet Need

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Control of COPD Symptoms: Addressing an Unmet Need

This series for primary care physicians covers key topics in the management of chronic obstructive pulmonary disease (COPD) and asthma within the context of current national guidelines and clinical practice.

Click here to read the supplement

Randall Brown, MD, MPH, AE-C
Center for Managing Chronic Disease
University of Michigan, Ann Arbor

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Funding for this newsletter series was provided by AstraZeneca
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Funding for this newsletter series was provided by AstraZeneca

This series for primary care physicians covers key topics in the management of chronic obstructive pulmonary disease (COPD) and asthma within the context of current national guidelines and clinical practice.

Click here to read the supplement

Randall Brown, MD, MPH, AE-C
Center for Managing Chronic Disease
University of Michigan, Ann Arbor

This series for primary care physicians covers key topics in the management of chronic obstructive pulmonary disease (COPD) and asthma within the context of current national guidelines and clinical practice.

Click here to read the supplement

Randall Brown, MD, MPH, AE-C
Center for Managing Chronic Disease
University of Michigan, Ann Arbor

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Role of the Kidney in Type 2 Diabetes and Mechanism of Action of Sodium Glucose Cotransporter-2 Inhibitors

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Role of the Kidney in Type 2 Diabetes and Mechanism of Action of Sodium Glucose Cotransporter-2 Inhibitors

While type 2 diabetes (T2D) is commonly seen in primary care, it is difficult to manage successfully over time. This series offers brief eNewsletters written by clinical experts that are designed to assist in the clinical management of patients with T2D.

This third eNewsletter in the series, entitled, Role of the Kidney in Type 2 Diabetes and Mechanism of Action of Sodium Glucose Cotransporter-2 Inhibitors, was written by Matthew L. Mintz, MD. It explores how the kidney helps to maintain glucose homeostasis and how dysfunctional glucose reabsorption by the sodium-glucose cotransporter-2 (SGLT-2) contributes to the pathophysiology of T2D. The effect of SGLT-2 inhibitors on glycemic control, body weight, blood pressure, and uric acid levels in patients with T2D are also discussed.

Click here to read the supplement

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Funding for this newsletter series was provided by AstraZeneca
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Funding for this newsletter series was provided by AstraZeneca

While type 2 diabetes (T2D) is commonly seen in primary care, it is difficult to manage successfully over time. This series offers brief eNewsletters written by clinical experts that are designed to assist in the clinical management of patients with T2D.

This third eNewsletter in the series, entitled, Role of the Kidney in Type 2 Diabetes and Mechanism of Action of Sodium Glucose Cotransporter-2 Inhibitors, was written by Matthew L. Mintz, MD. It explores how the kidney helps to maintain glucose homeostasis and how dysfunctional glucose reabsorption by the sodium-glucose cotransporter-2 (SGLT-2) contributes to the pathophysiology of T2D. The effect of SGLT-2 inhibitors on glycemic control, body weight, blood pressure, and uric acid levels in patients with T2D are also discussed.

Click here to read the supplement

While type 2 diabetes (T2D) is commonly seen in primary care, it is difficult to manage successfully over time. This series offers brief eNewsletters written by clinical experts that are designed to assist in the clinical management of patients with T2D.

This third eNewsletter in the series, entitled, Role of the Kidney in Type 2 Diabetes and Mechanism of Action of Sodium Glucose Cotransporter-2 Inhibitors, was written by Matthew L. Mintz, MD. It explores how the kidney helps to maintain glucose homeostasis and how dysfunctional glucose reabsorption by the sodium-glucose cotransporter-2 (SGLT-2) contributes to the pathophysiology of T2D. The effect of SGLT-2 inhibitors on glycemic control, body weight, blood pressure, and uric acid levels in patients with T2D are also discussed.

Click here to read the supplement

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