Literature DB >> 29858373

What Do You Want From Your Echocardiogram?

Yogesh N V Reddy1, Barry A Borlaug2.   

Abstract

Entities:  

Keywords:  Editorials; aging; diastolic dysfunction; diastolic dysfunction echocardiography; echocardiography; heart failure

Mesh:

Year:  2018        PMID: 29858373      PMCID: PMC6015348          DOI: 10.1161/JAHA.118.009462

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


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Introduction

Getting old can be tough. Cataracts form, joints deteriorate, arteries stiffen, and bone demineralizes. The heart is certainly not immune to senescence. Diastolic function shows perhaps the greatest deterioration: ventricular compliance decreases, and diastolic relaxation becomes prolonged.1, 2 Heart rate and contractility no longer increase as they should when the heart is called on to pump more vigorously.3 When these changes become significant enough, it leads to the clinical syndrome of heart failure (HF) with preserved ejection fraction (HFpEF), the dominant cause of HF in elderly individuals and the quintessential expression of cardiovascular senescence.4, 5 Echocardiography is by far the most commonly used tool to evaluate for diastolic dysfunction (DD). Although certainly not perfect, tissue and Doppler echocardiography enables assessment of ventricular structure, function, and hemodynamics that is helpful diagnostically and prognostically.6, 7, 8, 9 Because DD increases with aging, it has been suggested that we may need to account for this in what we consider to be “normal.” Shah and colleagues have recently proposed new age‐based cutoffs that better predicted incident cardiovascular disease outcomes.10 However, the cutoff values that they proposed were derived from only 401 individuals, and more information is needed. In this issue of the Journal of the American Heart Association (JAHA), Nayor et al present important new data from the FHS (Framingham Heart Study) to help address this issue.11 The authors examined a healthy reference sample of 2355 participants (mean age, 44 years) without prevalent cardiovascular disease or risk factors. Three echocardiographic variables of diastolic function were analyzed: tissue Doppler lateral mitral annular e′ velocity, the E/e′ ratio, and the E/A ratio. Abnormal values were defined by the outer 10th percentile from the healthy cohort, separated by decade of life and sex. These cutoffs were then applied to the broader FHS sample of 6102 subjects. Age was the strongest correlate of DD when using a single cut point to define abnormal (not accounting for age or sex), most notably in those with “mild” DD (defined as any 1 of 3 criteria abnormal).11 More than 65% of subjects aged ≥80 years had some element of DD by current single cut point criteria. However, after applying the age‐ and sex‐specific criteria, only 15% to 22% of the sample had mild DD and 10% had moderate or severe DD (defined as 2 or 3 criteria abnormal), and the striking age dependence of DD vanished. In fact, although age was the dominant correlate of DD using the single cut point criteria, it became inversely correlated with DD in the fully adjusted model using age‐ and sex‐specific criteria. Using age‐ and sex‐specific criteria, mild and moderate‐severe DD were associated with 50% and 65%, respectively, greater hazards of cardiovascular disease events, although this association was no longer significant after adjusting for other cardiovascular risk factors.11 In contrast, using the single cut point criteria, mild DD was no longer predictive, but moderate‐severe DD remained similarly predictive of events. Nayor and colleagues are astute in that they do not conclude from their data that age‐ and sex‐specific reference limits should be used to assess DD, but they rather point out some of the tradeoffs that must be considered by clinicians and investigators, which will require additional study moving forward.11 The authors are to be commended on this important contribution to the literature.11 The large, well‐characterized, community‐based sample, the systematic prospective acquisition of data, and the careful adjudication of events are all major strengths. Like all studies, there are some limitations to consider. For the reference population, the authors were careful to exclude participants with prevalent cardiovascular disease and important risk factors for DD, like obesity, but other factors, such as physical activity and fitness, were not accounted for, and these may strongly affect diastolic function and risk of HFpEF.12, 13 One could make a cogent argument that the reference sample should include individuals who are both active and fit to represent the ideal of “successful” cardiac aging.12, 14 Incident HF events were infrequent, and so a composite cardiovascular outcome that included myocardial infarction, stroke, and claudication was used by the authors.11 The study was not adequately powered to assess for HF‐specific end points. Despite these limitations, the data from Nayor et al11 provide valuable new insight into cardiac aging while raising questions about how we should define DD across the age spectrum using echocardiography. The velocity of left ventricular diastolic annular motion during early diastole (e′) decreased strikingly with age, by 9% in men and 12% in women per decade. Shah et al also recently observed a precipitous decline in e′ velocity with aging, although the derived cutoff values from their study and the current study to define “abnormal” were different (Table).10, 11 Further study is required to resolve these discrepancies. The E/e′ ratio, a surrogate for left ventricular filling pressures,6, 9 increased with aging, and the slope of this increase appeared to be steeper in women (Table), consistent with published data from other cohorts.1 This is noteworthy when considering how women are more likely to develop HFpEF than men with aging.15 In both studies, the age‐ and sex‐specific cut points for E/e′ did not differ as greatly from the guideline‐based cutoff as e′ velocity did.10, 11
Table 1

Age, Sex, and Echocardiographic‐Doppler Indexes of Diastolic Function

VariableMean Value in a 40‐Year‐Old Adult Without CVDa Estimated Change per Decade of Life in an Adult Without CVDb Relative Change per Decade of Life Without CVD, %Partition Value for Abnormal in FHS for Age >60 yc Partition Value for Abnormal in ARIC Study for Age >65 yd
Lateral E′ velocity, cm/s
Women13.0−1.5−12<7.7<5.1
Men13.1−1.2−9<8.1<5.4
Lateral E/e′ ratio
Women4.7+0.4+9>9.0>13.3
Men5.2+0.2+4>7.4>11.5
E/A ratio
Women1.5−0.2−13<0.8NA
Men1.5−0.2−13<0.7NA

A indicates late diastolic mitral inflow velocity with atrial contraction by pulsed wave Doppler; ARIC, Atherosclerosis Risk in Communities; CVD, cardiovascular disease; E, early diastolic mitral inflow velocity by pulsed wave Doppler; e', early diastolic mitral annular velocity by tissue Doppler; FHS, Framingham Heart Study.

Estimated from Y value at age 40 years in the mean regression lines from Supplemental Figures 2 through 4 from Nayor et al.11

Estimated from the slope of the mean regression lines from Supplemental Figures 2 through 4 from Nayor et al.11

Weighted means based on age distribution from Nayor et al.11

Taken from Shah et al.10

Age, Sex, and Echocardiographic‐Doppler Indexes of Diastolic Function A indicates late diastolic mitral inflow velocity with atrial contraction by pulsed wave Doppler; ARIC, Atherosclerosis Risk in Communities; CVD, cardiovascular disease; E, early diastolic mitral inflow velocity by pulsed wave Doppler; e', early diastolic mitral annular velocity by tissue Doppler; FHS, Framingham Heart Study. Estimated from Y value at age 40 years in the mean regression lines from Supplemental Figures 2 through 4 from Nayor et al.11 Estimated from the slope of the mean regression lines from Supplemental Figures 2 through 4 from Nayor et al.11 Weighted means based on age distribution from Nayor et al.11 Taken from Shah et al.10 Although age‐specific cutoffs may provide greater insight into prognosis, at least for mild DD,11 one unintended consequence of incorporating these criteria into practice could become a tacit acceptance that any DD is normal. There is no question that the prevalence of DD increases with age, but that does not diminish the fact that DD is harmful. Mild DD in elderly individuals at rest generally does not reflect high filling pressures,16 but what is mild at rest may become profoundly limiting during stress in the setting of HFpEF, where the inability of the ventricle to enhance e′ velocity leads to marked elevation in cardiac filling pressures.17 High filling pressures lead to symptoms of dyspnea and impairments in functional capacity,18, 19 which may perpetuate sedentary behavior and reduce qualify of life. These end points are sometimes more difficult to measure and were not evaluated in the current study, but they can be important to our patients. The data from Nayor and colleagues show that risk prediction for “hard end points” is improved with age‐specific diastolic indexes,11 but this may incur a cost that we also need to contemplate (Figure). Liberalizing the cutoffs for what is considered normal diastolic function in older adults could worsen the existing problem of underrecognition of HFpEF in people with dyspnea, especially when one considers that the echocardiographic assessments currently in use are poorly sensitive.6 Use of age‐specific criteria may also promote tacit acceptance that DD (when associated with aging) is benign, which is not the case, at least for the symptomatic expression of cardiac insufficiency.5, 17, 19 This could deepen the nihilistic perception that seniors with dyspnea (often attributable to HFpEF) are “just getting old,” rather than experiencing objective limitations in cardiac function.
Figure 1

Tradeoffs between considering left ventricular diastolic function in absolute terms as normal or abnormal, or relative to what is seen during normal aging. See text for details. CVD indicates cardiovascular disease.

Tradeoffs between considering left ventricular diastolic function in absolute terms as normal or abnormal, or relative to what is seen during normal aging. See text for details. CVD indicates cardiovascular disease. As shown by Nayor et al in their Figure 1B, the prevalence of DD increases strikingly with age using single cut point criteria.11 This perfectly mirrors what we see plotting the prevalence of HFpEF as a function of age.4 However, using the age‐ and sex‐specific cutoffs, the prevalence of DD remains stable across the lifespan and is much lower in seniors (Figure 1A).11 This is incongruent with what we know about cardiac aging,1 and it would seem inappropriate to label diastolic function as normal when it clearly is not. It might be helpful to reflect on lessons from the past when considering this dilemma. For years, we thought that “essential” hypertension was an inevitable consequence of aging that was necessary to maintain organ perfusion in older adults, which therefore did not require treatment. Epidemiologic studies including the FHS and then clinical trials eventually proved that is not the case. Why should age‐related DD be any different? Age is typically considered to be an unmodifiable risk factor, but recent studies have shown that interventions, such as exercise training12, 14 or weight loss,20 can reverse or at least mitigate age‐related DD. Even the cellular mechanisms of cardiac aging might one day become treatable.21 There is no question that DD becomes more common as our hearts age.1, 2, 3 That does not mean that we should just accept it or call it normal. When ventricular compliance decreases and relaxation becomes prolonged, the pressure in the left atrium goes up.5 This favors fluid redistribution out of the pulmonary capillaries and into the lung interstitium to cause congestion and dyspnea.19 This sequence of events plays out similarly in people in the third or the ninth decade of life. The lens through which we interpret diastolic data across the lifespan may differ for the epidemiologist, the physiologist, and the clinician. The question we need to ask ourselves is which perspective is best? The answer might be: a little bit of each.

Sources of Funding

Borlaug is supported by R01 HL128526, R01 HL 126638, U01 HL125205, and U10 HL110262, all from the National Institutes of Health. Reddy is supported by NIH T32 HL007111 from the National Institutes of Health.

Disclosures

None.
  21 in total

1.  Reversing the Cardiac Effects of Sedentary Aging in Middle Age-A Randomized Controlled Trial: Implications For Heart Failure Prevention.

Authors:  Erin J Howden; Satyam Sarma; Justin S Lawley; Mildred Opondo; William Cornwell; Douglas Stoller; Marcus A Urey; Beverley Adams-Huet; Benjamin D Levine
Journal:  Circulation       Date:  2018-01-08       Impact factor: 29.690

2.  Abnormalities of Doppler measures of diastolic function in the healthy elderly are not related to alterations of left atrial pressure.

Authors:  Anand Prasad; Kazunobu Okazaki; Armin Arbab-Zadeh; Armin A Zadeh; Erika Dijk; Qi Fu; James D Thomas; Benjamin D Levine
Journal:  Circulation       Date:  2005-03-21       Impact factor: 29.690

3.  Progression of left ventricular diastolic dysfunction and risk of heart failure.

Authors:  Garvan C Kane; Barry L Karon; Douglas W Mahoney; Margaret M Redfield; Veronique L Roger; John C Burnett; Steven J Jacobsen; Richard J Rodeheffer
Journal:  JAMA       Date:  2011-08-24       Impact factor: 56.272

4.  Hemodynamic Correlates and Diagnostic Role of Cardiopulmonary Exercise Testing in Heart Failure With Preserved Ejection Fraction.

Authors:  Yogesh N V Reddy; Thomas P Olson; Masaru Obokata; Vojtech Melenovsky; Barry A Borlaug
Journal:  JACC Heart Fail       Date:  2018-05-23       Impact factor: 12.035

5.  Role of Diastolic Stress Testing in the Evaluation for Heart Failure With Preserved Ejection Fraction: A Simultaneous Invasive-Echocardiographic Study.

Authors:  Masaru Obokata; Garvan C Kane; Yogesh N V Reddy; Thomas P Olson; Vojtech Melenovsky; Barry A Borlaug
Journal:  Circulation       Date:  2016-12-30       Impact factor: 29.690

6.  Importance of heart failure with preserved systolic function in patients > or = 65 years of age. CHS Research Group. Cardiovascular Health Study.

Authors:  D W Kitzman; J M Gardin; J S Gottdiener; A Arnold; R Boineau; G Aurigemma; E K Marino; M Lyles; M Cushman; P L Enright
Journal:  Am J Cardiol       Date:  2001-02-15       Impact factor: 2.778

7.  Longitudinal changes in left ventricular stiffness: a community-based study.

Authors:  Barry A Borlaug; Margaret M Redfield; Vojtech Melenovsky; Garvan C Kane; Barry L Karon; Steven J Jacobsen; Richard J Rodeheffer
Journal:  Circ Heart Fail       Date:  2013-06-28       Impact factor: 8.790

8.  Impact of general and central adiposity on ventricular-arterial aging in women and men.

Authors:  Peter Wohlfahrt; Margaret M Redfield; Francisco Lopez-Jimenez; Vojtech Melenovsky; Garvan C Kane; Richard J Rodeheffer; Barry A Borlaug
Journal:  JACC Heart Fail       Date:  2014-09-03       Impact factor: 12.035

9.  Impact of age on the cardiovascular response to dynamic upright exercise in healthy men and women.

Authors:  J L Fleg; F O'Connor; G Gerstenblith; L C Becker; J Clulow; S P Schulman; E G Lakatta
Journal:  J Appl Physiol (1985)       Date:  1995-03

10.  Left Ventricular Diastolic Dysfunction in the Community: Impact of Diagnostic Criteria on the Burden, Correlates, and Prognosis.

Authors:  Matthew Nayor; Leroy L Cooper; Danielle M Enserro; Vanessa Xanthakis; Martin G Larson; Emelia J Benjamin; Jayashri Aragam; Gary F Mitchell; Ramachandran S Vasan
Journal:  J Am Heart Assoc       Date:  2018-06-01       Impact factor: 5.501

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  1 in total

Review 1.  The Role of Echocardiography in Heart Failure with Preserved Ejection Fraction: What Do We Want from Imaging?

Authors:  Masaru Obokata; Yogesh N V Reddy; Barry A Borlaug
Journal:  Heart Fail Clin       Date:  2019-02-02       Impact factor: 3.179

  1 in total

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