Background
Left ventricular ejection fraction (EF) is a valuable prognostic index in patients with congestive heart failure (CHF). Although EF can be readily measured, many clinicians use roentgenographic heart size as a clue to differentiate systolic from diastolic dysfunction, even in the absence of solid supportive data.
Objective
To test the hypothesis that the cardiothoracic ratio (CTR) measured from the chest roentgenogram can be used to estimate left ventricular EF in individuals with CHF.
Methods
To answer this question, the database of the Digitalis Investigation Group trial was used. The CTR, determined using the Danzer method, and quantitative EF, measured locally using angiographic, radionuclide, or 2-dimensional echocardiographic techniques, were compared in 7476 patients with clinical CHF (New York Heart Association functional classes I-IV) due to acquired left-sided cardiac disease of ischemic, hypertensive, idiopathic, and alcohol-related causes.
Results
Mean (±SD) CTR for the cohort was 0.53±.07. Mean (±SD) EF was 31.7±12.2%. A weak, negative correlation between CTR and EF was observed (r=−0.176). Similar findings were obtained when the results were stratified by cause of CHF, presence of clinically defined right ventricular dysfunction, and method of EF measurement. Categorical analysis failed to yield a CTR cutoff point that facilitated useful segregation of individuals with an EF greater than 35% or 35% and below; greater than 40% or 40% and below; and greater than 45% or 45% and below in any patient group.
Conclusions
Although a weak, negative correlation exists between CTR and EF, this relationship does not allow for accurate determination of systolic function in individual patients with CHF. Considering the morbidity and mortality associated with CHF, and the clinical implications of systolic function in this syndrome, direct measurement of EF is recommended.
MEASURES OF left ventricular contractile function, including ejection fraction (EF), are relevant to diagnosis,1-4 prognosis,3-11 and treatment1-4,7,11 in patients with congestive heart failure (CHF). The EF is inversely related to mortality,3-11 and is perhaps the best prognostic index in heart failure. Thus, experts recommend that left ventricular systolic function be determined in patients with CHF.3,12,13 Although EF can be readily measured using angiographic, radionuclide, or echocardiographic techniques, these tests are expensive and may not be readily available in all clinical settings. A simple, convenient, noninvasive, and inexpensive method of accurately estimating left ventricular EF would be of great value in such patients.
Cardiac enlargement is associated with an adverse outcome in patients with heart disease.8,14,15 The size of the heart can be estimated from a chest roentgenogram by expressing it as a proportion of the thoracic diameter, the cardiothoracic ratio (CTR).16 Most cases of chronic CHF due to acquired left ventricular systolic dysfunction are associated with chamber dilation.17,18 In this context, one would expect an association between overall heart size, or CTR, and EF. However, one study demonstrated only a weak relationship between CTR and measured EF in patients with CHF.8 Furthermore, earlier work has shown a weak or inconsistent relationship between radiographic indexes and left ventricular size19-21 or function,19,22 although these studies may have been marred by small sample size and patient selection bias. Despite the absence of solid supportive data, clinicians continue to use roentgenographic heart size as a clue to differentiate systolic from diastolic dysfunction in patients with CHF.1,4
The Digitalis Investigation Group (DIG) Trial was a study of the effects of digoxin use on mortality and morbidity in patients with stable CHF and normal sinus rhythm. This trial included a large number of female and nonwhite patients.23 Relative to other CHF studies, the DIG Trial also included a large proportion of patients with a left ventricular EF greater than 45%,23 thereby providing a unique opportunity to examine clinical variables in a broad spectrum of CHF patients. We used the DIG Trial database to test the hypothesis that the CTR measured from the chest roentgenogram can be used to estimate left ventricular EF in individuals with CHF.
The design of the DIG Trial has been previously reported.23 In brief, patients with stable symptoms of CHF (New York Heart Association functional classes I-IV) who had normal sinus rhythm were enrolled in this study. Previous treatment with digitalis was allowed. Investigators were encouraged to prescribe angiotensin-converting enzyme inhibitors or other vasodilators prior to randomization. Exclusion criteria included age younger than 21 years and the presence of complex congenital heart disease, unstable or refractory angina, atrial fibrillation or flutter, cor pulmonale, constrictive pericarditis, acute myocarditis, hypertrophic cardiomyopathy, recent myocardial infarction, and uncorrected severe valvular heart disease. The underlying primary cause of CHF was determined locally by the DIG investigators as either ischemic, hypertensive, valvular, idiopathic, alcohol-related, or "other" using common clinical definitions. Participants in the DIG study with valvular and other causes of CHF, representing only 3.6% of the cohort, were excluded from the current analysis. In addition, DIG participants with missing or potentially erroneous data (ie, CTR, <0.16 or >0.84; EF, <6% or >79%) were also excluded from the current analysis. For the purpose of this study, clinical right ventricular dysfunction was considered present when patients had elevated jugular venous pressure and/or peripheral edema within 1 month of enrollment in the DIG study.24,25 The DIG Trial was approved by the institutional review boards of all the participating centers and all patients signed informed consent forms.
Measuring ctr and left ventricular ef
Prior to randomization in the DIG Trial, patients had a chest roentgenogram performed to measure CTR. Patients also underwent assessment of left ventricular EF. Both studies could be performed within 6 months of randomization. In cases in which clinical events occurred in the interim that might have affected the test results (such as myocardial infarction or revascularization), these studies were repeated prior to randomization and the most recent results recorded in the database. Vital patient data, including CTR and EF, were conveyed to the DIG Trial's data coordinating center prior to randomization. When investigators reported a CTR greater than 0.70 or less than 0.40 or an EF greater than 70% or less than 6%, they were asked by the data coordinating center to confirm the validity of these data.
Posteroanterior chest roentgenograms were performed using standard radiologic techniques. The CTR was determined using the Danzer method16 (Figure 1). Left ventricular EF was also measured locally using either angiographic, radionuclide, or 2-dimensional echocardiographic techniques, with the choice being left to the investigators. However, quantitative measurements, not visual estimates, were required. For those patients undergoing echocardiographic measurement, the area-length method, modified Simpsons rule, or some other standard equation was specifically required.
Data management and statistical analyses
Data archival and statistical analyses were performed using SAS software.26 Student t test and analysis of variance methods were used to compare the results of continuous variables between groups. The Pearson product moment correlation coefficient was used to evaluate the relationship between CTR and EF. After the relationship between CTR and EF was examined as continuous variables, categorical analysis was performed to test the predictive value of CTR for EF in individual patients. Specifically, a series of CTR cutoff points from 0.45 and below to 0.62 and higher were examined for their ability to differentiate patients with EF greater than 35% or 35% and lower; greater than 40% or 40% and lower; and greater than 45% or 45% and lower.
In addition to statistical analyses for the entire study group, results were stratified by the method of EF measurement, the cause of CHF, and the presence of clinical right ventricular dysfunction. Because the anatomical pattern of cardiac chamber enlargement (cavity dimension and wall thickness) might differ between patients with and without hypertensive conditions, separate analyses were performed for all patients without hypertensive heart disease combined into the all nonhypertensive cohort. In this article, results are presented as mean (±SD) unless otherwise noted.
Between February 1991 and August 1993, a total of 7788 patients were enrolled in the DIG Trial at 302 centers in the United States and Canada. Of the total population, 254 participants were excluded from this analysis on the basis of the presence of valvular or other heart disease. An additional 58 patients were excluded on the basis of missing or potentially erroneous data. Demographic and clinical characteristics of the study cohort, including the causal distribution of CHF, are shown in Table 1.
The EF was calculated using angiographic methods in 5.5% of patients, radionuclide techniques in 65.6%, and echocardiography in 28.9%, and the EF was similar among these groups (angiography, 32.2±11.2%; radionuclide, 31.7±12.3%; and echocardiography, 31.4±12.0%). The mean EF for the entire group was 31.7±12.2%. An EF greater than 35% was noted in 2463 patients (32.9%), greater than 40% in 1513 patients (20.2%), and greater than 45% in 886 patients (11.9%). The mean EF was similar among patients with clinical right ventricular dysfunction and those without. The mean EF was higher in the group with hypertension than in the others (P<.001). The mean CTR for the entire sample was 0.53±0.07 and varied little by causal subgroup. Within causal subgroups, patients with right ventricular dysfunction had a slightly higher CTR. The mean CTR was similar among the 3 EF method groups (angiography, 0.54±0.08; radionuclide, 0.53±0.07; and echocardiography, 0.54±0.08).
For the entire cohort, age was weakly related to CTR (r=0.08) and EF (r=0.107). For the entire sample, weight was not related to CTR (r=−0.033) or EF (r=0.039). Moreover, body mass index (calculated as the weight in kilograms divided by the square of the height in meters) was not related to CTR (r=−0.002) or EF (r=0.021). Similar findings were observed within each of the causal subgroups.
For the entire study group, a weak negative correlation between CTR and EF was observed (r=−0.176). Because of the large number of patients studied, this correlation coefficient was of high statistical significance (P<.001). A regression equation for the prediction of EF from CTR was derived:
with an SE of the estimate of 12.0%. Similar results were observed when the data were stratified by clinical right ventricular dysfunction (Table 2 and Table 3), cause of CHF (Table 2 and Table 3), and method of EF measurement (Table 3). Among those causal–right ventricular dysfunction–EF method subgroups with 100 or more patients, a correlation coefficient larger than −0.35 was observed in only 1: the group with idiopathic causes of CHF and right ventricular dysfunction who underwent radionuclide studies (r=−0.388).
With categorical analysis, increasing proportions of patients were shown to have low EF at incrementally higher CTR values, consistent with the negative correlation between CTR and EF. However, no CTR value was precise in the prediction of EF greater than 35% or 35% and below; greater than 40% or 40% and below; or greater than 45% or 45% and below in any patient group. For example, among the entire study population, an EF of 35% and below was present in 56% of patients with a CTR of 0.45 and lower, 59% of patients with a CTR lower than 0.50, 64% of patients with a CTR of 0.55 and lower, 65% of patients with a CTR lower than 0.60, and 75% of patients with a CTR of 0.60 and higher. Among patients with hypertensive disease, an EF of 45% and below was present in 51% of patients with a CTR of 0.45 and lower, 55% of patients with a CTR lower than 0.50, 65% of patients with a CTR of 0.55 and lower, 69% of patients with a CTR lower than 0.60, and 81% of patients with a CTR of 0.60 and higher. The sensitivity, specificity, and positive and negative predictive values of a CTR higher than 0.55 for detecting an EF of 35% and below for all patients and certain subgroups are displayed in Table 4.
Our data demonstrate a weak negative correlation between CTR and left ventricular EF among a large and diverse population with chronic, stable heart failure. Although statistically significant due to the cohort's large size, this correlation is not clinically useful because it does not allow for the accurate prediction of EF in individual patients or specific subgroups.
The cardiac silhouette on a chest roentgenogram encompasses all the contents of the pericardium. As shown in Figure 1, the transverse dimension of the cardiac silhouette, which forms the numerator of the CTR, is predominantly affected by right atrium size, the internal dimension of the left ventricle, the thickness of the left ventricular wall, pericardial thickness, and the contents of the pericardial space. In the majority of patients with chronic left-sided CHF, left ventricular systolic function decreases, filling pressure increases, and the chamber dilates.17,18 Dilation and/or hypertrophy of other cardiac chambers may also occur. Thus, patients with CHF generally have a larger CTR than healthy subjects.8 In turn, clinicians have extrapolated that the chest roentgenogram can be used to predict systolic function in patients with CHF.1,4
In this study, care was taken to account for those clinical variables that might interfere with the relationship between CTR and EF among patients with CHF. Patients were stratified by CHF cause because the anatomical pattern of chamber enlargement (cavity dimension and increased wall thickness) might differ among groups. For instance, an increased CTR due to hypertrophy may be associated with low, normal, or high EF in patients with CHF caused by hypertensive heart disease. Patients with vaguely defined CHF causes were excluded from this analysis. In addition, patients with valvular heart disease, representing a very small portion of the DIG Trial cohort, were excluded on the assumption that they are a heterogeneous group with a varied and complex relationship between CTR and EF. For example, there are distinct differences between the classic patterns of chamber enlargement and left ventricular contractile function in primary mitral stenosis and primary mitral regurgitation. Patients with clinical right ventricular dysfunction were studied separately from those without because of the potential differences between these groups in the pattern of right atrial and right ventricular chamber size and wall thickness.27,28 Subgroup analysis based on modality of EF measurement was performed to control for variation in the random error of measurement among these 3 techniques.
Despite taking into consideration these factors that might impact the CTR and EF, we obtained compelling evidence that CTR cannot be used to reliably estimate left ventricular EF in individual patients with CHF due to ischemic, hypertensive, idiopathic, or alcohol-related causes. In general, a majority of our patients with stable CHF manifested high CTRs, but in a given CHF patient, the CTR did not accurately estimate EF. In other words, the CTR adds minimally to the prediction of EF in a patient known to have CHF.
Our findings are consistent with those of previous studies. Cohn et al8 reported a modest negative correlation between CTR and EF among 584 male patients with chronic CHF and low EF enrolled in V-HeFT I (r=−0.27) and 758 male patients enrolled in V-HeFT II (r=−0.28). Rose and Stolberg19 reported a negative correlation (r=−0.22) between CTR and angiographic EF among 256 subjects who underwent cardiac catheterization. In their study of alcohol abusers, Bertolet et al22 reported that only 8 of 29 subjects with asymptomatic left ventricular systolic dysfunction defined using echocardiography had cardiomegaly on their chest roentgenogram. Righetti et al21 found that serial changes in roentgenographic heart size following cardiac surgery correlated with the presence of pericardial fluid but not left ventricular diameter or function. Although our findings agree with those of previous studies, our study overcomes many of the limitations of prior investigations. We examined a larger and more diverse population, with a greater mix of race and sex. Moreover, we included a greater proportion of CHF patients with an EF greater than 45%. Finally, our statistical method allows the clinician to evaluate the predictive accuracy of CTR for EF in individual patients.
A possible explanation for the weak relationship between CTR and EF lies with the variable distortion of right atrial and right ventricular morphological characteristics and function,27,28 which can occur in any given left ventricular EF among patients with CHF. Moreover, the poor correlation between CTR and EF may be rooted in the inherent limitations of these 2 measures. Although the CTR was designed to compensate for such factors as sex and body habitus, it does not account for respiration and cardiac cycle–specific variation in heart position and chamber volume, and is subject to variability as a function of the heart-to-film distance. Second, a time lag may occur between the onset of left ventricular systolic dysfunction and an increase in cavity dimension, or CTR. However, a time lag alone cannot account for the reduced sensitivity in our series, since the presence of right ventricular failure, which implies relative chronicity of CHF,6 did not improve the CTR-EF relationship. While EF is known to be dependent on cardiac loading conditions29 and can be altered by pharmacologic therapy in patients with CHF,7 the CTR may be less responsive to these factors. Finally, EF measurement itself is subject to random variation,30 although the size of our study sample should have adequately compensated for such variations in EF assessment.
A few limitations of this study warrant comment. First, failure to use a single laboratory for determination of CTR and EF may have induced significant variability in these measurements. Second, we cannot state whether our conclusions apply to those patients with CHF secondary to other causes, such as valvular or congenital heart disease, acute myocarditis, or cor pulmonale. Third, the proportion of patients in the DIG Trial with an EF greater than 40% or 45% may be smaller than that encountered in a typical primary care practice.1,4 Thus, the positive and negative predictive values reported in our study may not apply to populations with a different prevalence of diastolic heart failure. Fourth, because the database did not specify those medications taken at the actual time of CTR and EF measurement, we cannot state the degree to which drug use interfered with the CTR-EF relationship. Fifth, we cannot discount the possibility that CTR (or other roentgenographic findings) had important diagnostic or prognostic implications that were independent of their relationship to left ventricular EF. Finally, we cannot comment on the predictive value of other radiographic findings, such as pulmonary congestion, since these data were not recorded in the database.
Congestive heart failure is a common condition17,31 associated with a poor prognosis.5,17,31-33 Left ventricular systolic function has important implications for cause,1-4 prognosis,3-11 and treatment1-4,7,11 in this disorder. For example, in diastolic heart failure, diuretics should be used with caution or avoided, although β-adrenergic and calcium channel-blocking agents may be effective.1,3,4 Evidence exists that some patients with CHF may receive suboptimal medical care.31,34 One aspect of this quality of care issue may be related to incorrect management decisions that result from inaccurate differentiation of systolic from diastolic dysfunction.2 Thus, our findings support the recommendations of expert panels3,12,13 that direct and quantitative methods should be used to distinguish systolic from diastolic heart failure.35,36 Considering the morbidity and mortality associated with CHF, estimating contractile function from the chest roentgenogram should be considered poor practice and be discouraged.
Accepted for publication June 19, 1997.
This study was supported by funds from the National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (Interagency Agreement 1Y01-HC00110), and the Department of Veterans Affairs Cooperative Studies Program. The active study drug and placebo tablets were supplied by Glaxo Wellcome Company, Research Triangle Park, NC.
Reprints: Edward F. Philbin, MD, Section of Heart Failure and Heart Transplantation, Division of Cardiovascular Medicine, Henry Ford Health System, 2799 W Grand Blvd, Detroit, MI 48202 (e-mail: ephilbi1@hfhs.org).
1.Bonow
ROUdelson
JE Left ventricular diastolic dysfunction as a cause of congestive heart failure.
Ann Intern Med. 1992;117502- 510
Google ScholarCrossref 2.Aguirre
FVPearson
ACLewen
MKMcCluskey
MLabovitz
AJ Usefulness of Doppler echocardiography in the diagnosis of congestive heart failure.
Am J Cardiol. 1989;631098- 1102
Google ScholarCrossref 3.Williams
JFBristow
MRFowler
MB
et al. Guidelines for the evaluation and management of heart failure.
Circulation. 1995;922764- 2784
Google ScholarCrossref 4.Goldsmith
SRDick
C Differentiating systolic from diastolic heart failure: pathophysiologic and therapeutic considerations.
Am J Med. 1993;95645- 655
Google ScholarCrossref 5.Cohn
JNRector
TS Prognosis of congestive heart failure and predictors of mortality.
Am J Cardiol. 1988;62(suppl)25A- 30A
Google ScholarCrossref 6.Keogh
AMBaron
DWHickie
JB Prognostic guides in patients with idiopathic or ischemic dilated cardiomyopathy assessed for cardiac transplantation.
Am J Cardiol. 1990;65903- 908
Google ScholarCrossref 7.Cintron
GJohnson
GFrancis
GCobb
FCohn
JN Prognostic significance of serial changes in left ventricular ejection fraction in patients with congestive heart failure.
Circulation. 1993;87VI17- VI23
Google Scholar 8.Cohn
JNJohnson
GRShabetai
R
et al. Ejection fraction, peak exercise oxygen consumption, cardiothoracic ratio, ventricular arrhythmias and plasma norepinephrine as determinants of prognosis in heart failure.
Circulation. 1993;87VI5- VI16
Google Scholar 9.Gradman
ADeedwania
PCody
R
et al. Predictors of total mortality and sudden death in mild to moderate heart failure.
J Am Coll Cardiol. 1989;14564- 570
Google ScholarCrossref 10.Franciosa
JA Why patients with heart failure die: hemodynamic and functional determinants of survival.
Circulation. 1987;75IV20- IV27
Google ScholarCrossref 11.Cohn
JNArchibald
DGFrancis
GS
et al. Veterans Administration Cooperative Study on vasodilator therapy of heart failure.
Circulation. 1987;75IV49- IV54
Google Scholar 12.Konstam
MADracup
KBottoroff
MB
et al. Quick Reference Guide for Clinicians No. 11: Heart Failure—Management of Patients With Left Ventricular Systolic Dysfunction. Rockville, Md Agency for Health Care Policy and Research, Public Health Service1994;US Dept of Health and Human Services publication AHCPR 94-0613.
13.Johnstone
DEAbdulla
AArnold
JMO
et al. Diagnosis and management of heart failure.
Can J Cardiol. 1994;10613- 631
Google Scholar 14.Goor
DAGolan
MBar-El
Y
et al. Synergism between infarct-borne left ventricular dysfunction and cardiomegaly in increasing the risk of coronary bypass surgery.
J Thorac Cardiovasc Surg. 1992;104983- 989
Google Scholar 15.Wong
MJohnson
GShabetai
R
et al. Echocardiographic variables as prognostic indicators and therapeutic monitors in chronic congestive heart failure.
Circulation. 1993;87VI65- VI70
Google Scholar 17.Parmley
W Pathophysiology and current treatment of congestive heart failure.
J Am Coll Cardiol. 1989;13771- 785
Google ScholarCrossref 18.Sharpe
N Cardiac remodeling in congestive heart failure. Hosenpud
JDGreenberg
BHeds.
Congestive Heart Failure Pathophysiology, Diagnosis and Comprehensive Approach to Management. New York, NY Springer-Verlag NY Inc1994;83- 94
Google Scholar 19.Rose
CPStolberg
HO The limited utility of the plain chest film in the assessment of left ventricular structure and function.
Invest Radiol. 1982;17139- 144
Google ScholarCrossref 20.Chikos
PMFigley
MMFisher
L Correlation between chest film and angiographic assessment of left ventricular size.
AJR Am J Roentgenol. 1977;128367- 373
Google Scholar 21.Righetti
ACrawford
MHO'Rourke
RADaily
PORoss
J Echocardiographic and roentgenographic determination of left ventricular size after coronary arterial bypass graft surgery.
Chest. 1977;72455- 458
Google ScholarCrossref 22.Bertolet
BDFreund
GMartin
CAPerchalski
DLWilliams
CMPepine
CJ Unrecognized left ventricular dysfunction in an apparently healthy alcohol abuse population.
Drug Alcohol Depend. 1991;28113- 119
Google ScholarCrossref 23.The Digitalis Investigation Group, Rationale, design, implementation, and baseline characteristics of patients in the DIG trial.
Control Clin Trials. 1996;1777- 97
Google ScholarCrossref 24.Konstam
MAUdelson
JE Right heart failure. Hosenpud
JDGreenberg
BHeds.
Congestive Heart Failure Pathophysiology, Diagnosis and Comprehensive Approach to Management. New York, NY Springer-Verlag NY Inc1994;258- 280
Google Scholar 25.Jaenike
JRWaterhouse
C The nature and distribution of cardiac edema.
Lab Clin Med. 1958;52384- 393
Google Scholar 26.SAS Institute Inc, SAS/STAT User's Guide, Version 6. 4th ed. Cary, NC SAS Institute Inc1989;
27.Jaffe
CCWeltin
G Echocardiography of the right side of the heart.
Cardiol Clin. 1992;1041- 57
Google Scholar 28.Korr
KSGandsman
EJWinkler
MLShulman
RSBough
EW Hemodynamic correlates of right ventricular ejection fraction measured with gated radionuclide angiography.
Am J Cardiol. 1982;4971- 77
Google ScholarCrossref 29.Smith
TWBraunwald
EKelly
RA The management of heart failure. Braunwald
Eed.
Heart Disease. 3rd ed. Philadelphia, Pa WB Saunders Co1988;485- 543
Google Scholar 30.Wackers
FJTBerger
HJJohnstone
DE
et al. Multiple gated cardiac blood pool imaging for left ventricular ejection fraction.
Am J Cardiol. 1979;431159- 1166
Google ScholarCrossref 31.O'Connell
JBBristow
MR Economic impact of heart failure in the United States: time for a different approach.
J Heart Lung Transplant. 1994;13(suppl)S107- S112
Google Scholar 32.The CONSENSUS Trial Study Group, Effects of enalapril on mortality in severe congestive heart failure.
N Engl J Med. 1987;3161429- 1435
Google ScholarCrossref 33.Cohn
JNJohnson
GZiesche
S
et al. A comparison of enalapril with hydralazine-isosorbide in the treatment of congestive heart failure.
N Engl J Med. 1991;325303- 310
Google ScholarCrossref 34.Philbin
EFAndreou
CRocco
TALynch
LJBaker
SL Patterns of angiotensin-converting enzyme inhibitor use in congestive heart failure in 2 community hospitals.
Am J Cardiol. 1996;77832- 838
Google ScholarCrossref 35.Uretsky
BF Diagnostic considerations in the adult patient with cardiomyopathy or congestive heart failure. Shaver
JAed.
Cardiomyopathies Clinical Presentation, Differential Diagnosis, and Management. Philadelphia, Pa FA Davis Co Publishers1988;1935- 36
Google Scholar