JACC
HOME SUBSCRIPTIONS CURRENT ISSUE PAST ISSUES CARDIOSOURCE SEARCH HELP FEEDBACK
 QUICK SEARCH:   [advanced]


     


J Am Coll Cardiol, 2007; 49:687-694, doi:10.1016/j.jacc.2006.08.062 (Published online 25 January 2007).
© 2007 by the American College of Cardiology Foundation
This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow View Investigators and staff participating in CHARMES
Right arrow All Versions of this Article:
j.jacc.2006.08.062v1
49/6/687    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (11)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Persson, H.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Persson, H.
Related Collections
Right arrowRelated Article

CLINICAL RESEARCH: HEART FAILURE

Diastolic Dysfunction in Heart Failure With Preserved Systolic Function: Need for Objective Evidence

Results From the CHARM Echocardiographic Substudy–CHARMES

Hans Persson, MD, PhD*,*, Eva Lonn, MD, MSc{dagger}, Magnus Edner, MD, PhD*, Lawrence Baruch, MD{ddagger}, Chim C. Lang, MD§, John J. Morton, PhD||, Jan Östergren, MD, PhD, Robert S. McKelvie, MD, PhD{dagger} for the Investigators of the CHARM Echocardiographic Substudy–CHARMES

* Karolinska Institutet, Department of Clinical Sciences, Danderyd Hospital Department of Cardiology, Stockholm, Sweden
{dagger} Population Health Research Institute and McMaster University, Hamilton, Canada
{ddagger} Bronx Veterans Affairs Medical Center, Mt. Sinai School of Medicine, Bronx, New York
§ Ninewells Hospital and Medical School, Dundee, United Kingdom
|| Western Infirmary, University of Glasgow, Glasgow, United Kingdom
Department of Medicine, Karolinska University Hospital, Solna, Stockholm, Sweden.

Manuscript received July 7, 2006; revised manuscript received August 8, 2006, accepted August 30, 2006.

* Reprint requests and correspondence: Dr. Hans Persson, Karolinska Institutet, Department of Clinical Sciences, Danderyd Hospital Department of Cardiology, Stockholm, Sweden. (Email: hans.persson{at}ds.se).


    Abstract
 Top
 Abstract
 Aim
 Study design
 Methods
 Results
 Discussion
 Appendix
 References
 
Objectives: We tested the hypothesis that diastolic dysfunction (DD) was an important predictor of cardiovascular (CV) death or heart failure (HF) hospitalization in a subset of patients (ejection fraction [EF] >40%) in the CHARM-Preserved study.

Background: More than 40% of hospitalized patients with HF have preserved systolic function (HF-PSF), suggesting that DD may be responsible for the clinical manifestations of HF.

Methods: Patients underwent Doppler echocardiographic examination that included assessment of pulmonary venous flow or determination of plasma NT-pro-brain natriuretic peptide ≥14 months after randomization to candesartan or placebo. The patients were classified into 1 of 4 diastolic function groups: normal, relaxation abnormality (mild dysfunction), pseudonormal (moderate dysfunction), and restrictive (severe dysfunction).

Results: There were 312 patients in the study, mean age was 66 ± 11 years, EF was 50 ± 10%, and 34% were women. The median follow-up was 18.7 months. Diastolic dysfunction was found in 67% of classified patients (n = 293), and moderate and severe DD were identified in 44%. Moderate and severe DD had a poor outcome compared with normal and mild DD (18% vs. 5%, p < 0.01). Diastolic dysfunction, age, diabetes, previous HF, and atrial fibrillation were univariate predictors of outcome. In multivariate analysis, moderate (hazard ratio [HR] 3.7, 95% confidence interval [CI] 1.2 to 11.1) and severe DD (HR 5.7, 95% CI 1.4 to 24.0) remained the only independent predictors (p = 0.003).

Conclusions: Objective evidence of DD was found in two-thirds of HF-PSF patients. Moderate and severe DD, which were found in less than one-half of the patients, were important predictors of adverse outcome. The results demonstrate the prognostic significance and need for objective evidence of DD in HF-PSF patients.

Abbreviations and Acronyms
  CI = confidence interval
  CV = cardiovascular
  DD = diastolic dysfunction
  EF = ejection fraction
  HF = heart failure
  HF-PSF = heart failure and preserved systolic function
  HR = hazard ratio
  LAVI = left atrial volume index
  LV = left ventricular
  NT-proBNP = N-terminal pro-brain natriuretic peptide


Approximately one-half of the patients with clinical heart failure (HF) have preserved left ventricular (LV) systolic function (HF-PSF), suggesting that diastolic dysfunction (DD) may be responsible for their clinical manifestations (1). Recent studies have indicated that patients with HF and ejection fraction (EF) >40% have relatively high mortality and hospitalization rates (2). Prospective data in HF-PSF are limited with respect to the relationship among objective measures of DD, symptoms and signs of HF, outcome, and therapy. A major reason for the paucity of randomized controlled trials in HF-PSF patients is the difficulty in defining and measuring diastolic function. Although hemodynamic data obtained by heart catheterization can be used to measure diastolic function, the invasive nature of this assessment limits its applicability to most patients (3). Therefore, Doppler echocardiography is the method of choice in routine clinical practice to assess for DD (4). However, Doppler assessment of DD is complex and requires expert interpretation. Furthermore, loading conditions affect mitral inflow pulsed-wave Doppler parameters, making the differentiation between normal and pseudonormal diastolic function particularly difficult. Therefore, in addition to mitral inflow parameters, pulmonary venous (PV) flow Doppler and changes in mitral inflow parameters during Valsalva maneuver are commonly used to distinguish pseudonormal from normal diastolic function.

An alternative approach to assess the presence of abnormal hemodynamics and DD is assessment of plasma natriuretic peptides (5–8). This approach may be of greatest benefit in distinguishing normal from pseudonormal diastolic function in HF-PSF patients but may be of limited value in detecting patients with relaxation abnormalities (5).

The CHARM (Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity)-Preserved study (9) examined the effect of adding candesartan cilexetil or placebo to usual therapy in symptomatic HF-PSF patients (LVEF >40%). Candesartan led to a nonsignificant 11% reduction in the primary composite outcome, but there was a nominally significant 29% reduction in the number of admissions for HF. The trial offered a unique opportunity to describe diastolic function and its impact on prognosis in HF-PSF patients. We conducted a multicenter international echocardiographic substudy evaluating LV diastolic function in a subset of HF-PSF patients participating in the CHARM-Preserved study.


    Aim
 Top
 Abstract
 Aim
 Study design
 Methods
 Results
 Discussion
 Appendix
 References
 
The primary objective of the CHARM echocardiographic substudy (CHARMES) was to assess whether LV diastolic function was an important predictor of the combined outcome of cardiovascular (CV) mortality or hospitalization for HF, the primary end point in the CHARM-Preserved trial. The secondary objectives were 1) to evaluate the effects of candesartan compared to placebo on LV diastolic function measured at least 14 months after enrollment and 2) to evaluate the effects of candesartan compared to placebo on LV mass and LV systolic function.


    Study design
 Top
 Abstract
 Aim
 Study design
 Methods
 Results
 Discussion
 Appendix
 References
 
CHARMES was a prospective, randomized, controlled, double-blind cross-sectional study evaluating LV diastolic function using Doppler echocardiography and N-terminal pro-brain natriuretic peptide (NT-proBNP). The study was originally planned to be a serial echocardiographic study with an extensive Doppler echocardiographic protocol and assessments at baseline, after 14 months, and at study end. Because of difficulties recruiting into this complex study, the protocol was changed to perform a simplified classification of diastolic function.


    Methods
 Top
 Abstract
 Aim
 Study design
 Methods
 Results
 Discussion
 Appendix
 References
 
Patients.   Patients participating in the CHARM-Preserved study were asked to participate in CHARMES. The inclusion and exclusion criteria for CHARMES were the same as for the main study (9) and aimed at selecting patients with symptoms of HF and LVEF >40%. We excluded patients with poor-quality echocardiograms, prosthetic mitral valves, or greater than moderate mitral or aortic regurgitation.

Measurement of diastolic function.   Doppler echocardiography
The examination was performed while the patient was in a period of quiet respiration. All recordings were performed at a high sweep speed (100 mm/s) and with simultaneous electrocardiographic (ECG) recording and included complete M-mode, 2-dimensional, and Doppler echocardiographic examinations, with emphasis on evaluation of LV diastolic (10–12) and systolic function (13), LV size, and mass (13). Assessment of PV flow and E/A during a Valsalva maneuver were optional, performed only in centers experienced in completing those assessments. A minimum of 10 to 15 beats was recorded for all 2-dimensional, M-mode, and Doppler parameters. Apical 2-, 3-, and 4-chamber views were obtained in all echocardiographic studies. The following measurements were used for the assessment of LV diastolic function: 1) early filling peak velocity (E), 2) atrial filling peak velocity (A), 3) E/A ratio, 4) deceleration time (DT), 5) isovolumic relaxation time (IVRT), 6) a wave duration (MVa) at the AV plane, and 7) E/A ratio during Valsalva manuever. The following measurements were used for the assessment of PV flow: 1) systolic peak velocity (S), 2) diastolic peak velocity (D), 3) S/D ratio, 4) atrial systolic reversal wave velocity (PVa), 5) a wave duration (PVa dur), and 6) difference between PVa and MVa duration. Left atrial volume index (LAVI) was calculated by the biplane area-length method from apical 2- and 4-chamber views indexed to body surface area (13).

NT-proBNP
Blood for NT-proBNP measurement was sampled through a venflon or butterfly needle inserted into an antecubital arm vein. The patients rested for 15 min (seated or lying) before 10 ml of blood being drawn and placed in a standard EDTA tube. The blood was centrifuged within 30 min of sampling at 5°C and 2,000 rpm for 15 min. The plasma (3 to 4 ml) was removed and frozen at –20°C in a plastic tube labeled with the date, patient number, and site numbers. Plasma NT-proBNP was determined using Elecsys proBNP sandwich immunoassay on an Elecsys 2010 (Roche Diagnostics, Basel, Switzerland). The normal NT-proBNP cutoff values were prospectively chosen according to age and gender (14): for men ≤65 years ≤184 ng/l and >65 years old ≤268 ng/l and for women age ≤65 years ≤269 ng/l and >65 years ≤391 ng/l.

Classification of diastolic function
The classification of diastolic function was defined prospectively based on age-adjusted values for all echo-Doppler parameters (Table 1) and NT-proBNP measurements using the algorithm outlined in Figure 1. Classification was as follows: 1) normal, 2) relaxation abnormality (mild dysfunction), 3) pseudonormal (moderate dysfunction), and 4) restrictive abnormality (severe dysfunction). Two investigators (H.P. and E.L.) blinded to the patients’ clinical characteristics performed this assessment. Relaxation and restrictive abnormalities were assessed by mitral inflow parameters, and the classification was based on a minimum of 2 abnormal mitral inflow parameters pointing to the same category. To distinguish pseudonormal from normal diastolic function, one of the following measures had to be abnormal: 1) PV flow parameters, 2) E/A during Valsalva maneuver, or 3) plasma NT-proBNP concentration measured at the time of echocardiography. In patients with atrial fibrillation, DT was used to classify patients as abnormal relaxation or restrictive diastolic dysfunction, whereas S/D (15–17) or NT-proBNP (6–7) was used to classify patients as pseudonormal diastolic dysfunction. Left atrial volume index was analyzed as an independent measure and not included in the classification of DD.


View this table:
[in this window]
[in a new window]

 
Table 1 Normal Values for Mitral and Pulmonary Vein Doppler Flows by Age
 

Figure 1
View larger version (15K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 1 Classification of LV Diastolic Function

Left ventricular (LV) diastolic function categorized into 4 groups. 1) Normal: mitral inflow parameters within normal range and normal pulmonary vein flow or normal N-terminal pro-brain natriuretic peptide (NT-proBNP). 2) Abnormal relaxation: a) early filling peak velocity/atrial filling peak velocity (E/A) ratio lower than age-related value and/or b) isovolumic relaxation time/deceleration time (IVRT/DT) longer than age-related value. 3) Pseudonormal: normal mitral inflow parameters and a) elevated NT-proBNP, b) abnormal pulmonary venous flow, or c) abnormal E/A–E/A during Valsalva. 4) Restrictive: a) E/A ratio higher than age-related value and/or b) IVRT/DT shorter than age-related value. Pulmonary venous flow was considered abnormal if any one of the following criteria were present: 1) pulmonary vein systolic/diastolic velocity less than age-related value, 2) pulmonary vein a-duration longer than mitral a-duration, or 3) pulmonary vein peak a-velocity greater than age-related value. Normal values are in Table 1.

 
Statistical analysis.   The baseline characteristics at the time of randomization into the CHARM-Preserved study are presented as standard summary statistics. The prognostic power of the presence of DD to predict the combined end point of cardiovascular mortality or rehospitalization for HF was tested by Cox regression analysis from the date of the echocardiogram to end of follow-up. The univariate analysis included the 11 prospectively chosen variables: age, gender, New York Heart Association functional classification, EF (by study echocardiogram), hypertension, diabetes mellitus, previous admission for HF (before date of echo), previous myocardial infarction (before date of echo), atrial fibrillation (at time of echo), LAVI, and treatment allocation. Any term that was significant at ≤0.1 in the univariate analysis was included as a potential predictor in the first multivariate model. In a second step, the best prognostic model was constructed by testing the remaining significant variable(s) with forced adjustment for age, gender, EF, and treatment allocation. Chi-square tests were used to relate DD to background variables. Analysis of variance was used to assess a trend for difference in LAVI within the groups of DD. The study sample size was calculated to allow the detection of a 12% difference in DD, categorized as normal + abnormal relaxation versus pseudonormal + restrictive pattern between the 2 treatment groups (for alpha = 0.05 and 80% power and using the chi-square test). Mitral inflow data, LV mass, EF, and LV end-systolic and -diastolic diameters were compared between treatment groups. For continuous variables, the difference in means, 95% confidence intervals, and the t test p value are reported. Survival curves were estimated using the Kaplan-Meier method, and differences were assessed using the log-rank test. Statistical Analysis System (SAS), proprietary software release 8.2 (SAS Institute Inc., Cary, North Carolina), was used for the analysis.

Study organization.   All investigators participating in the CHARM-Preserved study were invited to participate in the CHARMES substudy. Danderyd University Hospital and Hamilton Health Sciences were the core laboratories, responsible for the protocol, training of sites, and reading study echocardiograms. A training tape and an echocardiographic study manual were sent to the respective sites, and a recorded test echocardiogram was reviewed at one of the core laboratories. Sites were approved if the quality of the test echocardiogram was good. Forty-eight sites participated in the study. Echocardiograms were recorded at the investigator’s site and shipped to one of the core laboratories, with a single reader at each site. Inter-reader variability for 10 diastolic function measurements was assessed in 25 patients between the 2 laboratories using intra-class correlation coefficients (median intra-class correlation coefficients 0.784, range 0.667 to 0.954). All NT-proBNP measurements were performed at the Western Infirmary, Glasgow, Scotland.

Ethical considerations.   The echocardiographic substudy was approved by the ethical review boards of Karolinska Institutet, Stockholm, Sweden; the Hamilton Health Sciences, Hamilton, Canada; and the ethical committees in the respective centers participating in the substudy. The study was conducted according to the rules outlined in the Helsinki declaration.


    Results
 Top
 Abstract
 Aim
 Study design
 Methods
 Results
 Discussion
 Appendix
 References
 
Study sample.   A total of 312 patients, representing 10% of the patients in the CHARM-Preserved study (9), were included in the CHARMES substudy. The baseline characteristics of the patients in the substudy are shown (Table 2). Compared with the main trial, CHARMES patients were less often women (34% vs. 40%) and had a less frequent (57% vs. 69%) history of admission for HF. The 2 treatment groups in the CHARMES substudy were well balanced regarding age, gender, EF, and other variables.


View this table:
[in this window]
[in a new window]

 
Table 2 Baseline Characteristics
 
Systolic function.   Echocardiograms were performed 17.7 months (median) after randomization. The LVEF measured at ≥14 months into the study was <35% in 12% (n = 39) of patients, in contrast to the baseline LVEF that was >40% in all patients as defined by CHARM-Preserved study criteria.

Diastolic function.   A total of 293 patients (94%) could be classified according to the protocol. In the patients with normal mitral inflow, NT-proBNP was used in 86% of patients (n = 178) to distinguish pseudonormal patients from normal patients, whereas Doppler measurements were used in the remaining 14% (n = 29). Diastolic dysfunction was found in 67% (n = 197) of all patients, similar to the 64% (n = 27) of the 42 patients who were assessed at baseline. Moderate dysfunction was the most common abnormality, whereas severe DD was relatively rare (Table 3). Diastolic dysfunction was related to a number of baseline characteristics, including higher age (p < 0.01), worse New York Heart Association functional class (p < 0.05), previous admission for HF (p < 0.01), and atrial fibrillation by history or ECG (p < 0.001); hypertension, EF, and diabetes mellitus were not associated with DD. Left atrial volume index was abnormal (>32 ml/m2) in 71% of the patients and showed a powerful relation to severity of DD (Table 3).


View this table:
[in this window]
[in a new window]

 
Table 3 Diastolic Function in All Patients and Left Atrial Volume Index by Diastolic Function Class
 
Prognosis.   The median follow-up time was 18.7 months after the echocardiogram. Cardiovascular mortality or rehospitalization for HF during follow-up was 10.3% (n = 32), with a CV mortality of 4.5% (n = 14). The combined end point of CV death or hospitalization for HF was related to the severity of DD (p = 0.0015) (Fig. 2), but not to LAVI (p = 0.13). Similar hazard ratios as those reported in Figure 2 for the 3 groups of DD versus normal were found in patients without atrial fibrillation (1.6, p = 0.48; 3.6, p = 0.03; and 8.4, p = 0.01) and excluding patients with EF <35% (1.1, p = 0.94; 3.2, p = 0.04; and 6.5, p < 0.01). Patients with normal diastolic function had a low event rate (5%). Patients with a relaxation abnormality had a non-significantly higher event rate than normal patients (6%), whereas patients with moderate and severe DD had significantly higher event rates (16% and 29%, respectively). Patients with pseudonormal DD diagnosed by abnormal NT-proBNP or Doppler criteria had similar outcomes (Fig. 3). Higher age, diabetes mellitus, previous HF admission, and atrial fibrillation were all significantly related to worse outcome (p < 0.05) (Table 4). In the multivariate analysis, only moderate and severe DD remained significantly related to outcome. This relationship persisted after adjusting for age, gender, EF at time of echo, and treatment allocation.


Figure 2
View larger version (20K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 2 CV Death or HF Hospitalization According to Diastolic Function Class

Univariate hazard ratios (95% confidence intervals) for relaxation abnormality versus normal = 1.4 (0.4 to 5.7); pseudonormal versus normal = 4.5 (1.5 to 13.2); and restrictive versus normal = 7.2 (1.8 to 29.0). CV = cardiovascular; HF = heart failure.

 

Figure 3
View larger version (10K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 3 CV Death or HF Hospitalization in Group With Pseudonormal Diastolic Function

Univariate hazard ratio (95% confidence intervals) for outcome in patients with pseudonormal diastolic dysfunction characterized by N-terminal pro-brain natriuretic peptide (NT-proBNP) versus Doppler = 0.8 (0.2 to 2.7). Abbreviations as in Figure 2.

 

View this table:
[in this window]
[in a new window]

 
Table 4 Univariate and Multivariate Analyses of Factors Related to CV Death or HF Hospitalization
 
Differences by treatment group.   There were no significant differences in LV diastolic and systolic function or size between the placebo and candesartan groups (Table 5); there was a similar distribution of DD class in both treatment groups (p = 0.85). Of note, candesartan treated patients had lower LV mass and LV mass index (p < 0.05). Fewer patients on candesartan had LV hypertrophy (45% vs. 59%, p = 0.04), defined as 116 g/m2 for men and 104 g/m2 for women (18).


View this table:
[in this window]
[in a new window]

 
Table 5 LV Size, Mass, Systolic, and Diastolic Function by Treatment Allocation
 

    Discussion
 Top
 Abstract
 Aim
 Study design
 Methods
 Results
 Discussion
 Appendix
 References
 
We have identified DD in 67% of the patients with HF-PSF. Significant DD, classified as moderate to severe, which was found in fewer than one-half of the patients, was an important independent predictor of adverse outcome. This was in contrast to lower EF, which was not related to outcome in patients with HF-PSF. Furthermore, we have found that DD was related to measures of disease severity, atrial fibrillation, LAVI, and higher age. The lower LV mass in candesartan-treated patients suggests a treatment effect by candesartan compared to placebo.

Diastolic dysfunction and prognosis.   In population studies, mild, moderate, or severe DD is related to long-term mortality compared with normal patients (4). Our findings of a favorable intermediate-term prognosis in patients with mild DD might seem in conflict with previous studies. Most likely, this discrepancy results from the longer duration of follow-up in the population studies. Our findings support only a weak link between echocardiographically determined relaxation abnormality and HF; however, this does not exclude its role as a predictor of long-term mortality. Moderate and severe DD were the strongest predictors of adverse outcomes in our study, confirming previous population-based studies, which suggest a graded relationship between severity of DD and outcomes, especially HF.

The absence of objective criteria of DD in 33% of study patients at 14 months after randomization may reflect an improvement in diastolic function over the course of the trial. However, given that we found normal diastolic function in a similar proportion (36%) of patients who underwent assessment of DD at baseline, it appears likely that about one-third of patients randomized in the study did not have objective evidence for DD at study entry. These findings highlight the difficulty associated with establishing a diagnosis of DD on the basis of clinical criteria alone and may explain the better than expected prognosis in the CHARM-Preserved study.

Prevalence of diastolic dysfunction.   The prevalence and role of DD in patients with HF-PSF is unclear. We report a 6-fold higher prevalence of moderate-to-severe DD (44%) in HF-PSF compared with the 7% prevalence of moderate-to-severe isolated DD in the community-based study of Redfield et al. (4). The event rate was high in these patients. Thus, our prognostic results suggest that moderate and severe DD is an important pathophysiologic mechanism in HF-PSF (3), more important than atrial fibrillation, LVEF, or LAVI. Transient or mild systolic dysfunction has been suggested to be the mechanism for HF in HF-PSF (19), although this has been disputed (3,20). Misdiagnosis of presumed HF is a common explanation for symptoms due to noncardiac disease or ischemia, especially if objective criteria of LV systolic and diastolic dysfunction are not included for diagnosis (21). The CHARM-Preserved study may thus be biased by inclusion of misdiagnosed patients without HF, so careful objective entry criteria need to be sought in future trials of HF-PSF.

Diastolic dysfunction and relation to background factors.   Atrial fibrillation and LAVI were the strongest background factors related to DD (4,22). The relationship between atrial fibrillation and more severe DD was strong whether atrial fibrillation was defined by ECG (low prevalence) or by history (high prevalence), suggesting that it is not simply because of the difficulties in measuring DD in patients in atrial fibrillation. In our study, age was an important factor even after using age-adjusted normal values, pointing to a strong link between DD and age. Systolic dysfunction by EF was not related to the degree of DD. Others (4,23) have found a relation between severe DD and severe systolic dysfunction. Our patients were defined by showing no or borderline systolic dysfunction at study entry, thus reducing the chance to confirm this relation. We found no relationship between DD and diabetes mellitus, hypertension, or LV hypertrophy by ECG, which is surprising and contrasts with other reports (24,25).

Methodology for diagnosis of diastolic dysfunction.   Our definition of diastolic function reflects diastolic filling rather than intrinsic parameters of diastolic function. Although Doppler echocardiography plays a pivotal role in assessing the diastolic filling dynamics of the LV, this technique is limited by the confounding influences of changes in heart rate and loading conditions. These limitations suggest the need for other objective measures of DD. In this regard, recent studies support the value of BNP determination in the evaluation of LV diastolic function. The release of BNP has been shown to be directly proportional to pressure overload (6,7), and several studies have shown that elevated BNP levels accurately predict the presence of DD seen with both Doppler velocity recordings (8,23,26–28) as well as with tissue Doppler imaging (29). Indeed, these findings suggest that in patients with normal systolic function, either elevated BNP or echocardiographic diastolic filling abnormalities might help to reinforce the diagnosis of DD (8,28,29). The increase of LAVI by severity of DD supports the diagnostic model we have used. Left atrial volume index did not predict outcome, which may be related to low power. However, DD may be the underlying mechanism, and increase of LAVI the consequence. This interpretation is supported by others (22), who found that DD, but not LAVI, was of prognostic importance in multivariate analysis. More novel echo-Doppler approaches, including tissue Doppler and color M-mode, may be more accurate in identifying and classifying DD; however, these techniques were not widely available and standardized at the time the study was done.

Treatment effects of angiotensin-receptor blockers in HF-PSF.   We found no difference in LV size or systolic or diastolic function for candesartan compared to placebo. The observed differences in LV mass are interesting and suggest a treatment effect by candesartan, but are of low evidence grade owing to the lack of baseline data. The findings are consistent with other studies using angiotensin-receptor blockers in general and candesartan specifically (18,30).

Study limitations.   There are several limitations to our study. The most important ones are 1) the difficulties in measuring diastolic function in an international multicenter setting, 2) the difficulties measuring diastolic and systolic function in atrial fibrillation, 3) the absence of tissue Doppler imaging, 4) the use of NT-proBNP as a tool for assessing DD, and 5) the cross-sectional design of the study.

However, our protocol has a number of strengths, including its prospective nature, use of age-adjusted values, and assessment of left atrial volume and EF. In addition, we were able to obtain good standardization, most studies sent by the centers were of adequate quality for evaluation, and there was good agreement among the core labs. Most importantly, DD as identified in our study was a very potent predictor of outcomes.

The issue of DD in atrial fibrillation is complex, but our results were similar when patients with atrial fibrillation were excluded. The similar outcome for pseudonormal patients diagnosed by Doppler or NT-proBNP argues for the use of NT-proBNP when there are difficulties in performing a more complex echocardiogram.

Implications.   Our results show the predictive value of DD in HF-PSF, which demonstrates the need to obtain objective evidence of abnormal diastolic filling in patients with HF-PSF. We could identify patients at elevated risk who are likely to benefit from HF treatments. Furthermore, in low-risk patients, misdiagnosis and unnecessary treatment can be avoided. Our findings support current guidelines for patients with suspected HF, which emphasize the need to show objective evidence of systolic or diastolic dysfunction.


    Appendix
 Top
 Abstract
 Aim
 Study design
 Methods
 Results
 Discussion
 Appendix
 References
 
For a list of investigators and staff participating in the CHARMES substudy, please see the online version of this article.


    Acknowledgments
 
The authors gratefully acknowledge the contributing 48 sites in Canada, Iceland, Malaysia, Russia, Sweden, and the U.S.; the protocol and core lab teams; and the executive committee of the CHARM program for important contributions to the study.


    Footnotes
 
This study was supported by research grants from AstraZeneca and the Karolinska Institutet.


    References
 Top
 Abstract
 Aim
 Study design
 Methods
 Results
 Discussion
 Appendix
 References
 

  1. Cohen-Solal A, Desnos M, Delahaye F, Emeriau JP, Hanania G. A national survey of heart failure in French hospitals Eur Heart J 2000;21:763-769.[Abstract/Free Full Text]
  2. Tsutsui H, Tsuchihashi M, Takeshita A. Mortality and readmission of hospitalized patients with congestive heart failure and preserved versus depressed systolic function Am J Cardiol 2001;88:530-533.[CrossRef][ISI][Medline]
  3. Zile M, Baicu CF, Gaasch WH. Diastolic heart failure—abnormalities in active relaxation and passive stiffness of the left ventricle N Engl J Med 2004;350:1953-1959.[Abstract/Free Full Text]
  4. Redfield MM, Jacobsen SJ, Burnett JC, Mahoney DW, Bailey KR, Rodeheffer RJ. Burden of systolic and diastolic ventricular dysfunction in the community: appreciating the scope of the heart failure epidemic JAMA 2003;289:194-202.[Abstract/Free Full Text]
  5. Dahlstrom U. Can natriuretic peptides be used for the diagnosis of diastolic heart failure? Eur J Heart Fail 2004;6:281-287.[CrossRef][ISI][Medline]
  6. Qi W, Kjekshus J, Klinge R, Kjekshus JK, Hall C. Cardiac natriuretic peptides and continuously monitored atrial pressures during chronic rapid pacing in pigs Acta Physiol Scand 2000;169:95-102.[CrossRef][ISI][Medline]
  7. Dokainish H, Zoghbi WA, Lakkis NM, et al. Optimal noninvasive assessment of left ventricular filling pressures: a comparison of tissue Doppler echocardiography and B-type natriuretic peptide in patients with pulmonary artery catheters Circulation 2004;109:2432-2439.[Abstract/Free Full Text]
  8. Lubien E, DeMaria A, Krishnaswamy P, et al. Utility of B-natriuretic peptide in detecting diastolic dysfunction: comparison with Doppler velocity recordings Circulation 2002;105:595-601.[Abstract/Free Full Text]
  9. Yusuf S, Pfeffer MA, Swedberg K, et al. Effects of candesartan in patients with chronic heart failure and preserved left-ventricular ejection fraction: the CHARM-Preserved Trial Lancet 2003;362:777-781.[CrossRef][ISI][Medline]
  10. Mantero A, Gentile F, Gualtierotti C, et al. Left ventricular diastolic parameters in 288 normal subjects from 20 to 80 years old Eur Heart J 1995;16:94-105.[Medline]
  11. Rakowski H, Appleton C, Chan K-L, et al. Canadian consensus recommendations for the measurement and reporting of diastolic dysfunction by echocardiography J Am Soc Echocardiogr 1996;9:736-760.[CrossRef][Medline]
  12. Oh JK, Appleton CP, Hatle LK, Nishimura RA, Seward JB, Tajik AJ. The noninvasive assessment of left ventricular diastolic function with two-dimensional and Doppler echocardiography J Am Soc Echocardiogr 1997;10:246-270.[CrossRef][ISI][Medline]
  13. Lang RM, Bierig M, Devereux RB, et al. Recommendations for chamber quantification: a report from the American Society of Echocardiography’s Guidelines and Standards Committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology J Am Soc Echocardiogr 2005;18:1440-1463.[CrossRef][ISI][Medline]
  14. Johnston N, Jernberg T, Lindahl B, et al. Biochemical indicators of cardiac and renal function in a healthy elderly population Clin Biochem 2004;37:210-216.[CrossRef][ISI][Medline]
  15. Oki T, Tabata T, Yamada H, et al. Evaluation of left atrial filling using systolic pulmonary venous flow measurements in patients with atrial fibrillation Clin Cardiol 1998;21:169-174.[ISI][Medline]
  16. Traversi E, Cobelli F, Pozzoli M. Doppler echocardiography reliably predicts pulmonary artery wedge pressure in patients with chronic heart failure even when atrial fibrillation is present Eur J Heart Fail 2001;3:173-181.[CrossRef][ISI][Medline]
  17. Iuchi A, Oki T, Fukuda N, et al. Changes in transmitral and pulmonary venous flow velocity patterns after cardioversion of atrial fibrillation Am Heart J 1996;131:270-275.[CrossRef][ISI][Medline]
  18. Wachtell K, Bella JN, Liebson PR, et al. Impact of different partition values on prevalences of left ventricular hypertrophy and concentric geometry in a large hypertensive population. The LIFE study. Hypertension 2000;35:6-12.[Abstract/Free Full Text]
  19. Vinereanu D, Nicolaides E, Tweddel AC, Fraser AG. "Pure" diastolic dysfunction is associated with long-axis systolic dysfunction. Implications for the diagnosis and classification of heart failure. Eur J Heart Fail 2005;7:820-828.[CrossRef][ISI][Medline]
  20. Gandhi SK, Powers JC, Nomeir A-M, et al. The pathogenesis of acute pulmonary edema associated with hypertension N Engl J Med 2001;344:17-22.[Abstract/Free Full Text]
  21. Caruana L, Petrie MC, Davie AP, McMurray JJV. Do patients with suspected heart failure and preserved left ventricular systolic function suffer from "diastolic heart failure" or from misdiagnosis?. A prospective descriptive study. BMJ 2000;321:215-218.[Abstract/Free Full Text]
  22. Pritchett AM, Mahoney DW, Jacobsen SJ, et al. Diastolic dysfunction and left atrial volume J Am Coll Cardiol 2005;45:87-92.[Abstract/Free Full Text]
  23. Yu CM, Sanderson JE, Shum IO, et al. Diastolic dysfunction and natriuretic peptides in systolic heart failure. Higher ANP and BNP levels are associated with the restrictive filling pattern. Eur Heart J 1996;17:1617-1618.[Free Full Text]
  24. Celentano A, Vaccaro O, Tammaro P, et al. Early abnormalities in non-insulin-dependent diabetes mellitus and impaired glucose tolerance Am J Cardiol 1995;76:1173-1176.[CrossRef][ISI][Medline]
  25. Muller-Brunotte R, Kahan T, Malmqvist K, Edner M. Blood pressure and left ventricular geometric pattern determine diastolic function in hypertensive myocardial hypertrophy J Hum Hypertens 2003;17:841-849.[CrossRef][ISI][Medline]
  26. Doust JA, Glasziou PP, Pietrzak E, Dobson J. A systematic review of the diagnostic accuracy of natriuretic peptides for heart failure Arch Intern Med 2004;164:1978-1984.[Abstract/Free Full Text]
  27. Hammerer-Lecherer A, Ludwig W, Falkensammer G, et al. Natriuretic peptides as markers of left ventricular dysfunction: effects of assays on diagnostic performance of markers Clin Chem 2004;50:1174-1183.[Abstract/Free Full Text]
  28. Redfield MM, Rodeheffer RJ, Jacobsen SJ, Mahoney DW, Bailey KR, Burnett Jr. JC. Plasma brain natriuretic peptide to detect preclinical ventricular systolic or diastolic dysfunction: a community-based study Circulation 2004;109:76-81.
  29. Mak GS, DeMaria A, Clopton P, Maisel AS. Utility of B-natriuretic peptide in the evaluation of left ventricular diastolic function: comparison with tissue Doppler imaging recordings Am Heart J 2004;148:743-746.[CrossRef][ISI][Medline]
  30. Cuspidi C, Muiesan ML, Valagussa L, et al. Comparative effects of candesartan and enalapril on left ventricular hypertrophy in patients with essential hypertension: the candesartan assessment in the treatment of cardiac hypertrophy (CATCH) study J Hypertens 2002;20:2293-2300.[CrossRef][ISI][Medline]

Related Article

Understanding "Diastolic Heart Failure": The Tip of the Iceberg
Rick A. Nishimura and Wissam Jaber
J. Am. Coll. Cardiol. 2007 49: 695-697. [Full Text] [PDF]



This article has been cited by other articles:


Home page
J Am Coll CardiolHome page
M. R. Di Tullio
Diastolic Dysfunction: Does Ethnicity Matter?
J. Am. Coll. Cardiol., September 16, 2008; 52(12): 1022 - 1023.
[Full Text] [PDF]


Home page
HeartHome page
A. A Voors and R. M de Jong
Treating diastolic heart failure
Heart, August 1, 2008; 94(8): 971 - 972.
[Full Text] [PDF]


Home page
Ann Fam MedHome page
H. Kataoka and O. Matsuno
Age-Related Pulmonary Crackles (Rales) in Asymptomatic Cardiovascular Patients
Ann. Fam. Med, May 1, 2008; 6(3): 239 - 245.
[Abstract] [Full Text] [PDF]


Home page
Eur Heart JHome page
H. P. Brunner-La Rocca
Do we understand why the heart fails?
Eur. Heart J., March 2, 2008; 29(6): 698 - 700.
[Full Text] [PDF]


Home page
J Am Coll CardiolHome page
A. N. DeMaria, J. J. Bax, O. Ben-Yehuda, P. Clopton, G. K. Feld, G. S. Ginsburg, B. H. Greenberg, J. D. Knoke, W. Y.W. Lew, J. A.C. Lima, et al.
Highlights of the year in JACC 2007.
J. Am. Coll. Cardiol., January 29, 2008; 51(4): 490 - 512.
[Full Text] [PDF]


Home page
J Am Coll CardiolHome page
T. J. Kolias
Diastolic Dysfunction and Heart Failure
J. Am. Coll. Cardiol., July 3, 2007; 50(1): 79 - 79.
[Full Text] [PDF]


Home page
J Am Coll CardiolHome page
H. Persson, E. Lonn, R. S. McKelvie, and for the Investigators of the CHARM Echocardiograph
Reply
J. Am. Coll. Cardiol., July 3, 2007; 50(1): 79 - 80.
[Full Text] [PDF]


Home page
Am. J. Physiol. Heart Circ. Physiol.Home page
M. M. Riordan and S. J. Kovacs
Absence of diastolic mitral annular oscillations is a marker for relaxation-related diastolic dysfunction
Am J Physiol Heart Circ Physiol, June 1, 2007; 292(6): H2952 - H2958.
[Abstract] [Full Text] [PDF]


Home page
J Am Coll CardiolHome page
R. A. Nishimura and W. Jaber
Understanding "Diastolic Heart Failure": The Tip of the Iceberg
J. Am. Coll. Cardiol., February 13, 2007; 49(6): 695 - 697.
[Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow View Investigators and staff participating in CHARMES
Right arrow All Versions of this Article:
j.jacc.2006.08.062v1
49/6/687    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (11)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Persson, H.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Persson, H.
Related Collections
Right arrowRelated Article


HOME SUBSCRIPTIONS CURRENT ISSUE PAST ISSUES CARDIOSOURCE SEARCH HELP FEEDBACK