Point-of-Care Guides

Diagnosis of Heart Failure with Reduced Ejection Fraction

 

Am Fam Physician. 2020 Feb 15;101(4):230-232.

Author disclosure: No relevant financial affiliations.

Clinical Question

Can signs, symptoms, and simple tests be used to determine the likelihood of heart failure with reduced ejection fraction?

Evidence Summary

Considerations for the selection and implementation of any clinical prediction rule include whether it has been validated in a new population, whether it has sufficient accuracy to be trustworthy, whether the resulting risk categories are clinically useful (i.e., the low-risk group is low enough to comfortably rule out the condition), whether it is practical to implement in your setting, and whether the spectrum of illness is similar to that in your population. For the diagnosis of heart failure with reduced ejection fraction, the spectrum of disease and its presentation may be different in the primary care setting compared with the emergency department, as is the availability of blood tests such as brain natriuretic peptide (BNP).

A systematic review recently identified nine previously published clinical prediction rules1; one additional clinical prediction rule was identified in an abbreviated search by the author.2 Clinical prediction rules were excluded if they had not been prospectively and externally validated in a new population or if they were conducted in a limited population, such as only patients with diabetes mellitus or chronic lung disease, leaving four studies for consideration.25 Of these, three were developed in the primary care setting3,4 or studied patients identified in the primary care setting,5 and one was developed in the emergency department setting.2

The rule by Fahey and colleagues recruited primary care patients with clinically suspected heart failure and used five variables (male sex, orthopnea, history of myocardial infarction, presence of jugular venous distension, and abnormal findings on electrocardiography [ECG]). The resulting risk score had a broad range of risk categories from 0% (none of the factors present) to 97% (all five present).3 However, in a prospective validation, it significantly underestimated the risk of heart failure with reduced ejection fraction, partly because of a much higher likelihood of heart failure in the validation population.

Kelder and colleagues developed a 10-item clinical prediction rule in patients with clinically suspected heart failure with reduced ejection fraction (Table 1).4 The rule identified four risk groups from 4.7% to 87.5%.4 It was prospectively validated in a second study of patients 80 years and older and using a cutoff of more than 54 points for referral. This cutoff was 81% sensitive and 57% specific, which is similar to the cutoff in the original study.6  However, this rule requires use of N-terminal prohormone BNP testing, which is not widely available in the primary care setting. The Brest score was developed and validated in patients with new-onset dyspnea presenting to the emergency department and has 11 variables, including two ECG findings (Table 2).2

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TABLE 1.

Kelder Rule to Determine Risk of Heart Failure with Reduced Ejection Fraction in the Primary Care Setting

Clinical variablePoints

Age (years)

 < 60

0

 60 to 70

4

 71 to 80

7

 > 80

10

N-terminal prohormone BNP (pg per mL)

 < 100

0

 100 to 199

8

 200 to 399

16

 400 to 799

24

 800 to 1,599

32

 1,600 to 3,199

40

 > 3,200

48

Myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention

15

Loop diuretic

10

Displaced apex beat

20

Rales basal or more

14

Irregularly irregular pulse

11

Heart murmur suggestive of mitral regurgitation

10

Pulse rate

Beats per minute > 60/3*

Elevated jugular venous pressure

12

Total points:

_______

Score (points)

No. with heart failure/total (%)


< 13

11/233 (4.7%)

13 to 23

27/170 (15.9%)

24 to 54

85/222 (38.3%)

> 54

84/96 (87.5%)


BNP = brain natriuretic peptide.

*—For example, a heart rate of 90 is 30 beats per minute over 60, which is divided by 3 for 10 points.

Adapted from Kelder JC, Cramer MJ, van Wijngaarden J, et al. The diagnostic value of physical examination and additional testing in primary care patients with suspected heart failure. Circulation. 2011;124(5):2871.

TABLE 1.

Kelder Rule to Determine Risk of Heart Failure with Reduced Ejection Fraction in the Primary Care Setting

Clinical variablePoints

Age (years)

 < 60

0

 60 to 70

4

 71 to 80

7

 > 80

10

N-terminal prohormone BNP (pg per mL)

 < 100

0

 100 to 199

8

 200 to 399

16

 400 to 799

24

 800 to 1,599

32

 1,600 to 3,199

40

 > 3,200

48

Myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention

15

Loop diuretic

10

Displaced apex beat

20

Rales basal or more

14

Irregularly irregular pulse

11

Heart murmur suggestive of mitral regurgitation

10

Pulse rate

Beats per minute > 60/3*

Elevated jugular venous pressure

12

Total points:

_______

Score (points)

No. with heart failure/total (%)


< 13

11/233 (4.7%)

13 to 23

27/170 (15.9%)

24 to 54

85/222 (38.3%)

> 54

84/96 (87.5%)


BNP = brain natriuretic peptide.

*—For

Address correspondence to Mark H. Ebell MD, MS, at ebell@uga.edu. Reprints are not available from the author.

Author disclosure: No relevant financial affiliations.

References

show all references

1. Gallagher J, McCormack D, Zhou S, et al. A systematic review of clinical prediction rules for the diagnosis of chronic heart failure. ESC Heart Failure. 2019;6(3):499–508....

2. Basset A, Nowak E, Castellant P, et al. Development of a clinical prediction score for congestive heart failure diagnosis in the emergency care setting: The Brest score. Am J Emerg Med. 2016;34(12):2277–2283.

3. Fahey T, Jeyaseelan S, McCowan C, et al. Diagnosis of left ventricular systolic dysfunction (LVSD): development and validation of a clinical prediction rule in primary care. Fam Pract. 2007;24(6):628–635.

4. Kelder JC, Cramer MJ, van Wijngaarden J, et al. The diagnostic value of physical examination and additional testing in primary care patients with suspected heart failure. Circulation. 2011;124(25):2865–2873.

5. Roalfe AK, Mant J, Doust JA, et al. Development and initial validation of a simple clinical decision tool to predict the presence of heart failure in primary care: the MICE (male, infarction, crepitations, edema) rule. Eur J Heart Fail. 2012;14(9):1000–1008.

6. Smeets M, Degryse J, Janssens S, et al. Diagnostic rules and algorithms for the diagnosis of non-acute heart failure in patients 80 years of age and older: a diagnostic accuracy and validation study. BMJ Open. 2016;6(10):e012888.

This guide is one in a series that offers evidence-based tools to assist family physicians in improving their decision-making at the point of care.

This series is coordinated by Mark H. Ebell, MD, MS, deputy editor for evidence-based medicine.

A collection of Point-of-Care Guides published in AFP is available at https://www.aafp.org/afp/poc.

 

 

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