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2772 Systolic and Diastolic Dysfunction in Patients With Clinical Diagnosis of Dilated Cardiomyopathy Relation to Symptoms and Prognosis Charanjit S. Rihal, MD; Rick A. Nishimura, MD; Liv K. Hatle, MD; Kent R. Bailey, PhD; A. Jamil Tajik, MD Downloaded from http://circ.ahajournals.org/ by guest on June 16, 2017 Background Dilated cardiomyopathy is an important cause of morbidity and mortality among patients with congestive heart failure. Hemodynamic and prognostic characterization are critical in guiding selection of medical and surgical therapies. Methods and Results A cohort of 102 patients with the clinical diagnosis of dilated cardiomyopathy who underwent echocardiographic examination between 1986 and 1990 was identified and followed up through July 1, 1991. Patients with moderate or severe symptoms had lower indices of systolic function and greater left atrial and right ventricular dilation. Mitral inflow Doppler signals were characterized by a restrictive left ventricular filling pattern. In multivariate logistic regression analysis, deceleration time, ejection fraction, and peak E velocity were independently associated with symptom status. Over a mean follow-up of 36 months, 35 patients died. Kaplan-Meier estimated survival at 1, 2, and 4 years was 84%, 73%, and 61%, respectively, and was significantly poorer than that of an age- and sex-matched population. The subgroup with an ejection fraction <0.25 and deceleration time <130 milliseconds had a 2-year survival of only 35%. The subgroup with ejection fraction <0.25 and deceleration time >130 milliseconds had an intermediate 2-year survival of 72%, whereas patients with an ejection fraction .0.25 had 2-year survivals 295% regardless of deceleration time. In multivariate analysis, ejection fraction and systolic blood pressure were independently predictive of subsequent mortality. Mitral deceleration time was significant in univariate analysis. Conclusions In patients with the clinical diagnosis of dilated cardiomyopathy, markers of diastolic dysfunction correlated strongly with congestive symptoms, whereas variables of systolic function were the strongest predictors of survival. Consideration of both ejection fraction and deceleration time allowed identification of subgroups with divergent long-term D ilated cardiomyopathy is a disease of idiopathic origin characterized by reduced global left ventricular systolic function. Adjusted prevalence rates range from 4.4 per 100 000 for women to 11 per 100 000 for men.' Case fatality rates approach 30% at 3 years and 60% at 5 years after diagnosis.2 Whereas the treatment of dilated cardiomyopathy is largely empiric, important advances in medical (angiotensin-converting enzyme inhibitors, new inotropic drugs) and surgical therapy (heart transplantation) have occurred. Besides diagnostic information, the comprehensive evaluation of patients with dilated cardiomyopathy includes an assessment of prognosis. The conventionally used prognostic variable has been left ventricular ejection fraction. However, as repeatedly demonstrated, patients with dilated cardiomyopathy and ejection fractions in the midrange (20% to 30%) may have a highly variable clinical course, and clinicians often face uncertainty in assessing the prognosis of a patient. A wide range of diastolic transmitral flow velocity patterns exists in various cardiac disease states, and recent clinical and laboratory work has begun to shed light on the hemodynamic significance and prognostic implications of transmitral flow velocity profiles.3-5 However, little information is available about Doppler echocardiographic hemodynamics and their relation to the pathophysiology and long-term outcomes of dilated cardiomyopathy. The purpose of our study was to critically evaluate various clinical and echocardiographic variables among patients with the clinical diagnosis of dilated cardiomyopathy who underwent comprehensive echocardiographic examination at the Mayo Clinic Echocardiography Laboratory from 1986 to 1990. Follow-up data were obtained through July 1, 1991. We hypothesized that left ventricular ejection fraction would incompletely characterize hemodynamics and prognosis in this patient population and that diastolic Doppler echocardiographic variables would add significantly to both of these aspects. Received June 2, 1994; revision accepted July 18, 1994. From the Division of Cardiovascular Diseases and Internal Medicine (C.S.R., R.A.N., A.J.T.) and the Section of Biostatistics (K.R.B.), Mayo Clinic and Mayo Foundation, Rochester, Minn, and the University of Trondheim (L.K.H.), Trondheim, Norway. Reprint requests to C.S. Rihal, MD, McMaster University, Division of Cardiology, 237 Barton St E, Hamilton, Ontario, Canada L8L 2X2. C 1994. prognoses. (Circulation. 1994;90:2772-2779.) Key Words * cardiomyopathy * echocardiography . diastole * prognosis Methods Research Design The study was a retrospective cohort analysis that used the resources of the Mayo Clinic Echocardiography Laboratory and the Mayo Clinic medical records. All aspects of the study Rihal et al Systolic and Diastolic Dysfunction 2773 were subject to review by the Mayo Institutional Review Board; approval was given August 5, 1991. TABLE 1. Echocardiographic Variables Recorded for 102 Patients With Dilated Cardiomyopathy Subjects Left ventricular end-diastolic dimension (EDD) Left ventricular end-systolic dimension (ESD) Mean left ventricular diastolic wall thickness (average of septal and posterior wall thicknesses) Mean left ventricular diastolic wall thickness/radius ratio Left ventricular ejection fraction (EF): EF=(EDD2-ESD2)/EDD2 Peak left ventricular outflow tract (LVOT) velocity Acceleration (a) to peak LVOT: a=LVOT velocity/acceleration time Isovolumic relaxation time (IVRT) Filling velocity ratio (E/A) Deceleration time of E (DT) Peak tricuspid regurgitation velocity (systolic blood pressure x radius) Stress = wall thickness Downloaded from http://circ.ahajournals.org/ by guest on June 16, 2017 By using the Mayo Echocardiography Laboratory database (for the years 1986 to 1990), we identified all patients with the diagnosis of dilated cardiomyopathy (n=686). Of these 686 patients, 442 had complete two-dimensional and Doppler echocardiographic examinations performed. These patients were stratified a priori into four groups according to ejection fraction (dichotomized arbitrarily at 0.25) and deceleration time (dichotomized at 130 milliseconds, which is -2 SD from the mean normal for our laboratory).6 A random sample of 200 patients was chosen to obtain approximately equal samples in each. Patient medical records were screened, and only patients with the clinical diagnosis of idiopathic dilated cardiomyopathy were included in the study. Criteria for inclusion included an ejection fraction <0.50 and the absence of a clear etiology. Patients in whom a clear cause for cardiomyopathy was identified or suspected (for example, coronary artery disease, valvular heart disease, infiltrative processes) were excluded. Coronary angiography and endomyocardial biopsy were not considered mandatory for inclusion. Patients who had incomplete or technically inadequate two-dimensional or Doppler echocardiographic studies were excluded. In this manner, a cohort of 102 patients was identified. Echocardiographic Examination Comprehensive two-dimensional and Doppler echocardiographic examinations were performed in all patients, as described previously,78 with commercially available echocardiographic instruments. The left atrial dimension was measured in the parasternal long-axis view, and the right ventricular dimension was measured in the parasternal short-axis view. Transmitral flow velocity signals were obtained by placing a pulsed-wave Doppler sample volume at the tips of the mitral leaflets. Stroke volume was determined by measuring the left ventricular outflow tract diameter, recording the pulsed-wave Doppler signal at the level of the aortic annulus, and performing volumetric analysis with the time-velocity integral. Mitral regurgitation was semiquantitatively assessed with color-flow Doppler echocardiography.9.10 Data Data recorded included age, sex, symptom status, and vital status at the latest follow-up visit at the Mayo Clinic. All echocardiograms were reviewed and digitally analyzed off line (GTI Freeland Systems microprocessor). Ejection fraction was calculated with a modification of the method of Quinones et al.1" For the purposes of this analysis, left ventricular stress was defined as (systolic blood pressure times left ventricular radius) divided by left ventricular wall thickness in diastole. Deceleration time was measured as the interval (in milliseconds) from peak early mitral filling (E velocity) to an extrapolation of the deceleration to 0 M/s.12 The mean of at least three measurements for patients in sinus rhythm was used and seven measurements for those with other rhythms. Interobserver variability has been documented for our laboratory.13 Additionally, we assessed variability by comparing 20 velocity and interval measurements performed by two observers independently. The clinical and echocardiographic data recorded, including both measured and derived variables, are listed in Table 1. Blood pressure was measured by auscultation by the patient's physician and recorded in the medical record. A blood pressure measurement obtained as close as possible temporally to the index echocardiogram was used for data analysis. Follow-up data were gathered through scrutiny of the Mayo Clinic records, supplemented by direct mail or telephone contact, and were complete through July 1, 1991. Statistical Analysis Descriptive group data are presented as mean +±SD unless otherwise stated. To assess correlates of symptomatic status, patients were grouped into those with mild (New York Heart Association [NYHA] functional class I or II) or moderate-tosevere (class III or IV) symptoms, and group differences in demographic, clinical, and echocardiographic variables were assessed by Student's t test or by x2 test for proportions. Multiple logistic regression analysis was used to determine independent correlates of symptom status. Results are reported as odds ratios associated with specific contrasts in predictor variables. Survival was estimated by the Kaplan-Meier product-limit method, with the follow-up period starting at the index echocardiogram, and group differences were assessed with the log rank test. Of particular interest was the stratified comparison based on ejection fraction and deceleration time. Univariate and multivariate Cox proportional hazards models were constructed to assess univariate as well as independent associations with survival. Results of these models were reported as hazard ratios associated with specific contrasts in the predictor variables. Statistical significance was judged at the two-sided .05 level. With 102 patients and 35 fatal events occurring during followup, the study had 80% power to detect a standardized Cox regression coefficient of .45, equivalent to a 1 SD shift (decrease) in deceleration time being associated with a relative hazard of 1.57. Results Baseline Characteristics The clinical characteristics of the cohort of 102 patients (65 men and 37 women; mean age, 61±+ 14 years), determined at the time of the index echocardiographic examination, are listed in Table 2. Mean systolic blood pressure was 124±19 mm Hg, and mean diastolic blood pressure was 80±11 mm Hg. All patients were white, and no patient had had a documented myocardial infarction, coronary angioplasty, or coronary bypass operation. At the time of the index echocardiogram, a history of hypertension was present in 21 of the patients and diabetes mellitus in 13; 47 were current or former smokers. The patients were taking the following medi- 2774 Circulation Vol 90, No 6 December 1994 TABLE 2. Baseline Clinical and Two-dimensional and Doppler Echocardiographic Characteristics of 102* Patients With Dilated Cardiomyopathy New York Heart Association No. Functional Class 11 IV Not determined Sinus rhythm Atrial fibrillation Moderate or severe mitral regurgitation 30 28 34 9 1 75 19 44 Mean+SD Downloaded from http://circ.ahajournals.org/ by guest on June 16, 2017 Systolic blood pressure, mm Hg (n=99) End-diastolic dimension, mm (n=101) End-systolic dimension, mm (n= 101) Fractional shortening, % (n=101) Left ventricular ejection fraction, % (n=101) End-diastolic wall thickness, mm (n=76) End-systolic wall thickness, mm (n=67) Thickness-radius ratio (n=87) Peak LVOT velocity, m/s (n=98) LVOT acceleration, m/s2 (n=90) Stroke volume, mL (n=87) Tricuspid regurgitation velocity, m/s (n=66) Peak E velocity, m/s (n=97) Peak A velocity, m/s (n=74) E/A ratio (n=74) Deceleration time, ms (n=98) LVOT indicates left ventricular outflow tract. *Mean age±SD, 61±14 years; 65 men. 124±+19 69+9 60±9 13±5 23±8 10±2 12±2 0.29±0.07 0.76±0.19 8.9±3.2 41±16 2.9±0.5 0.77±0.26 0.58±0.28 1.68±1.21 172±66 cations: 68, diuretic medications; 69, a digitalis preparation; 52, an angiotensin-converting enzyme inhibitor; 14, nitrates; 11, a calcium channel blocker; and 3, ,-adrenoreceptor blockers. Furthermore, 75 patients were in sinus rhythm, and 27 had other chronic rhythms (atrial fibrillation or paced). Nine patients were taking antiarrhythmic agents and 7 were taking warfarin sodium. ECG evidence of left ventricular hypertrophy was present in 13 and bundle-branch block in 38. Cardiomegaly (cardiothoracic ratio >0.50) was present on chest roentgenography in 69 patients. Coronary angiography was performed in 57 patients (36 men; mean age, 59±14 years). Of these patients, the coronary arteries were normal in 75%, but insignificant disease (all lesions <50%) was present in 14%. Singlevessel disease was present in 9%. In all patients, the degree of left ventricular dysfunction was thought to be incongruent with the degree of coronary artery atherosclerosis, consistent with a primary myocardial process. 400 300 E 0 C * *, 0 .. 'M -* , 0 0 0.1 0 0 * * * 0 . 0 . 0 S *. % . . *. S 11oo *e * * *@ * * *Y _. * : T* ? 0 0.2 0.3 0. 0m Ejection fraction FIG 1. Plot shows distribution of left ventricular ejection fraction by mitral deceleration time. Right ventricular endomyocardial biopsy was performed in 28 patients (22 men; mean age, 57±+16 years) and revealed nonspecific cellular hypertrophy and interstitial fibrosis in all of them (patients with specific biopsy-proven diagnoses were excluded a priori). Echocardiographic variables measured at the index examination are listed in Table 2. Mean left ventricular end-diastolic dimension was increased at 69±9 mm, and eccentric hypertrophy was present (mean diastolic wall thickness, 10+2 mm). Significant left ventricular systolic dysfunction was present, with a mean ejection fraction of 0.23±0.08 and a mean stroke volume of 41±16 mL. The mitral inflow deceleration time was <130 milliseconds in 37 patients, 131 to 250 milliseconds in 50, and >250 milliseconds in 11. The distribution of mitral deceleration time and left ventricular ejection fraction is shown in Fig 1. Mean tricuspid regurgitation velocity was elevated at 2.9±0.5 m/s, reflecting increased pulmonary arterial systolic pressures. Symptom Status Fifty-eight patients had mild or no symptoms (NYHA class I or II) and 43 had moderate or severe symptoms (NYHA class III or IV). In one patient, functional class could not be determined from the medical record. As shown in Table 3, patients with severe symptoms had higher heart rates and larger left atria and right ventricles but equal degrees of left ventricular dilation. Measures of systolic function such as left ventricular ejection fraction (median, 0.18 in the severe group compared with 0.24 in the mild group; P=.0001) and stroke volume (median, 34 mL compared with 45 mL; P=.02) were significantly lower among those with severe symptoms. Left ventricular outflow acceleration was not significantly different (median, 8.7 m/s2 compared with 8.5 m/s2). Among the severely symptomatic, median peak mitral E velocity was significantly higher (0.90 m/s compared with 0.70 m/s; P<.0001) and median peak A velocity was significantly lower (0.40 m/s compared with 0.60 m/s; P=.02). The E/A ratio was markedly different between the two groups (median, 1.0 compared with 3.0; P=.0004). Deceleration time was markedly shortened among the severely symptomatic (median, 120 milliseconds compared with 200 milliseconds; P<.0001). Logistic regression analysis was performed to determine correlates of symptom status (Table 4). In the univariate model, indices of diastolic filling were the important correlates, especially deceleration time (P<.0001; odds ratio, 0.68 for a 20-millisecond differ- Rihal et al Systolic and Diastolic Dysfunction 2775 TABLE 3. Symptom Status of 101 Patients With Dilated Cardiomyopathy Mild or No Symptoms (n=58) Downloaded from http://circ.ahajournals.org/ by guest on June 16, 2017 Variable Age, y Systolic blood pressure, mm Hg Diastolic blood pressure, mm Hg Heart rate, beats per minute Right ventricular dimension, mm Left atrial dimension, mm EDD, mm Left ventricular ejection fraction Stroke volume, mL LVOT acceleration, m/s2 Thickness-radius ratio Tricuspid regurgitation velocity, m/s Peak E velocity, m/s Peak A velocity, m/s E/A ratio Deceleration time, ms Moderate or severe mitral Median 62.3 128 80 71 28 45 67 0.24 45 8.5 0.23 2.7 0.70 0.60 1.0 200 Range 18.1-86.7 80-175 40-100 52-118 8-54 34-63 52-91 0.13-0.47 16-80 3.5-17 0.18-0.54 1.9-5.0 0.35-1.35 0.10-1.14 0.42-6.0 80-350 Moderate or Severe Symptoms (n=43) Median 62.2 120 80 90 34 50 70 0.18 34 8.7 0.28 3.0 0.90 0.40 3.0 120 No. (%) 19 (33) 24 (56) EDD indicates left ventricular end-diastolic dimension; LVOT, left ventricular outflow tract. regurgitation, ence), peak E velocity (P=.0001; odds ratio, 7.26 for a 0.5-m/s difference), and E/A ratio (P=.0011; odds ratio, 2.63 for a 1 SD difference). Ejection fraction and stroke volume were also correlated with symptom status with high degrees of significance. Multivariate models were also constructed to determine independent predictors of functional class; the best-fit main effects model is depicted in Table 4. Two of three independent variables reflected diastolic rather than systolic variables. Peak E velocity (odds ratio, 4.49 for a 0.5-m/s difference; P=.018), ejection fraction (odds ratio, 0.27 for a 10-U contrast; P=.0039), and deceleration time (odds ratio, 0.81 for a 20-millisecond difference; P=.08) were included in the final model. Although E/A ratio is a widely used variable, it was not significant in multivariate analysis and did not enter the final model. Long-term Outcome Median follow-up time was 36 months (range, 1 to 54 months); 35 patients died during the follow-up period: 34 of cardiac causes (congestive heart failure or sudden death) and 1 of a noncardiac cause. The Kaplan-Meier life table probability of survival was 83.5%, 72.9%, 64.2%, and 61.1% at 1, 2, 3, and 4 years, respectively, after the index echocardiogram (Fig 2). This is significantly poorer than the expected 97.7%, 95.4%, 93.0%, and 90.5% yearly survival, respectively, for the age- and sex-matched 1980, white, north central US population (one-sample log rank x2=174.8; P<.0001). To gain further perspective on the usefulness of echocardiographic prognostic indicators, subgroups stratified according to ejection fraction (at 0.25) and Range 18.8-84.1 86-160 55-110 50-130 20-57 29-64 55-98 0.09-0.36 13-59 4.6-20.8 0.14-0.46 2.3-4.0 0.40-1.6 0.14-1.20 0.7-5.0 80-333 P .99 .18 .28 .001 .008 .04 .64 .0001 .02 .77 .59 .059 <.0001 .02 .0004 <.0001 .02 deceleration time (at 130 milliseconds) were identified (Fig 3). At 2 years after the index echocardiographic examination, life table-estimated probabilities of survival were: ejection fraction .0.25 and deceleration time .130 milliseconds (n=26), 95%; ejection fraction .0.25 and deceleration time <130 milliseconds (n=29), 100%; ejection fraction <0.25 and a deceleration time .130 milliseconds (n=37), 71.6%; and for the subgroup with an ejection fraction <0.25 and deceleration time <130 milliseconds, only 34.8% (four-group log rank X2=22.3 on 3 degrees of freedom [dfl, P<.0001). Because on inspection of the data (Fig 3) the low ejection fraction-low deceleration time subgroup seemed to do significantly worse, an internal comparison of this subgroup with the three others yielded a x2 of 18.43 (1 df, P<.0001). When compared with the two ejection fraction >0.25 subgroups, survival of the subgroup with a low ejection fraction and higher deceleration time was significantly worse (x2, 6.16 on 1 df; P=.013). No significant difference was found between the two ejection fraction >0.25 subgroups. Thus, the original four-group x2 of 22.3 was largely due to the poor survival of the low ejection fraction-low deceleration time subgroup, with a smaller contribution from the subgroup with a low ejection fraction but higher deceleration time with an intermediate prognosis. Subgroups with ejection fraction >0.25 had a relatively good survival regardless of the deceleration time. Next, predictors of long-term survival were assessed by Cox proportional hazards analysis (Table 5). In contrast to symptoms, the most important correlates of survivorship were indices of left ventricular systolic function. Ejection fraction and systolic blood pressure Circulation Vol 90, No 6 December 1994 2776 TABLE 4. Logistic Regression Models of Symptom Status Variable Downloaded from http://circ.ahajournals.org/ by guest on June 16, 2017 -0.0194 3.9634 -0.1241 0.7982 -0.0382 0.9527 0.8112 0.7647 -0.0156 0.0245 -3.3531 0.0695 0.2358 0.0006 DT Peak E velocity Left ventricular ejection fraction E/A ratio Stroke volume Moderate or severe MR TR velocity Atrial fibrillation Systolic blood pressure EDD Thickness-radius LVOT acceleration Male sex Age SE P Univariate Model 0.0048 1.0416 0.0341 0.2453 0.0155 0.4154 0.5176 0.5169 0.0110 0.0235 0.3861 0.0711 0.4233 0.0140 <.0001 .0001 .0003 .0011 .0140 .0218 .1170 .1390 .1583 .2978 .3221 .3285 .5775 .9674 Odds Ratio 95% Cl 0.56, 0.82 2.61, 20.1 0.15, 0.56 1.47, 4.70 0.50, 0.92 1.15, 5.85 0.82, 6.21 0.68* 7.26t 0.29t 2.63§ 0.68t 2.59 2.25 2.15 0.86t 0.78, 5.92 0.69,1.06 0.90,1.42 0.75, 0.83 0.80,1.95 0.55, 2.90 0.76,1.32 1.1311 0.79§ 1.25§ 1.27 1.01t Multivariate Main Effects Model 1.29, 15.61 .0180 4.49t 1.2707 3.0049 Peak E velocity 0.11, 0.66 0.27t .0039 0.0456 -0.1316 Left ventricular ejection fraction 0.64,1.02 .081* .0764 0.0059 -0.0104 DT Cl indicates confidence interval; DT, mitral deceleration time; EDD, left ventricular end-diastolic dimension; LVOT, left ventricular outflow tract; MR, mitral regurgitation; SE, standard error; and TR, tricuspid regurgitation. *Computed for 20-ms difference. tComputed for 0.5-m/s difference. tComputed for 10-U difference. §Computed for 1 SD difference. IlComputed for 5-mm difference. were the most powerful predictors; heart rate, NYHA functional class, stroke volume, and age were also significant in univariate analysis. Two variables of diastolic dysfunction, the mitral deceleration time and the E/A ratio, were correlated with long-term survival in univariate analysis. Multivariate proportional hazards models were constructed, and the strongest model is depicted in Table 5. Ejection fraction (/3=-0.0989; P=.0006; and hazard ratio, 0.37 for a 10% difference) and systolic blood pressure (/3= -0.0315; P=.0064; hazard ratio, 0.73 for a 10 mm Hg difference) were the only independent predictors of survivorship. The linear main effects model is illustrated in Fig 4. Interaction and nonlinear quadratic models did not add clinically important information. Interobserver Variability For Doppler velocity measurements, interobserver variability was low, with r=.97 and SE of 0.05 m/s. For 100 EF a2Q25 and DT < 130 1W ,, - ---- EF 2Q25 and 80 S0 . - 60 !* DT k130 ----- ____ EF <0.25 andD1 130 t 60 2 cn 40 E - ------- Observed CO) Expected <0 25 EFand 40 DT < 130 20 20 v U 0 N-102 1 80 2 65 3 43 4 19 Years FIG 2. Kaplan-Meier life table-estimated probability of survival after index echocardiogram compared with that for age- and sex-matched 1980 north central US population. X 2=174.8; P<.0001 by log rank test. Bars indicate 2 SE. 0 2 1 3 Years FIG 3. Kaplan-Meier life table-estimated probability of survival after index echocardiogram of subgroups stratified by ejection fraction (EF) and mitral deceleration time (DT). x 2=257; P<.0001 by log rank test. Rihal et al Systolic and Diastolic Dysfunction TABLE 5. Proportional Hazards Model of Long-term Survival (3 SE Variable Downloaded from http://circ.ahajournals.org/ by guest on June 16, 2017 Left ventricular ejection fraction Systolic blood pressure Heart rate NYHA Ill or IV Stroke volume Age DT E/A ratio EDD Male sex Atrial fibrillation Thickness-radius E velocity Moderate or severe MR TR velocity LVOT acceleration Stress 0.0302 0.0102 0.0101 0.3436 0.0131 0.0143 0.0030 0.1685 0.0183 0.3872 0.3873 2.6796 0.6767 0.3395 0.3548 0.0639 0.0013 -0.1145 -0.0339 0.0275 0.8034 -0.0288 0.0296 -0.0059 0.3198 0.0334 0.5468 0.5429 -2.8814 0.6152 0.2636 0.2366 -0.0161 -0.0003 P Hazard Ratio Univariate Model .0002 .0009 .0062 .0194 .0282 .0386 .0487 .0578 .0669 .1578 .1610 .2822 .3633 .4375 .5048 .8011 .8052 0.32* 0.71 * 1.32t 2.23 0.75* 1.34* 0.89* 1.47§ 1.1811 1.73 1.72 0.82§ 1 .36¶ 1.30 1.27 0.95§ 0.76# 2777 95% Cl 0.18, 0.58 0.58, 0.87 1.08, 1.61 1.14, 4.38 0.58, 0.97 1.02, 1.78 0.79,1.00 0.99, 2.20 0.99,1.41 0.81, 3.69 0.81, 3.68 0.57,1.18 0.70, 2.64 0.67, 2.53 0.63, 2.54 0.64,1.42 0.57, 1.06 Multivariate Main Effects Model .0006 0.37* -0.0989 0.0291 Left ventricular ejection fraction 0.21, 0.66 0.0110 .0064 -0.0315 0.73* 0.59, 0.91 Systolic blood pressure Cl indicates confidence interval; DT, mitral deceleration time; EDD, left ventricular end-diastolic dimension; LVOT, left ventricular outflow tract; NYHA, New York Heart Association functional class; MR, mitral regurgitation; and TR, tricuspid regurgitation. *Computed for 10-U difference. tComputed for 10-beat-per-minute difference. tComputed for 20-ms difference. §Computed for 1 SD difference. IlComputed for 5-mm difference. ¶Computed for 0.5-m/s difference. #Computed for 100-U increase. all time interval measurements, interobserver variability was also low, with r=.99 and SE of 15 milliseconds. Discussion Summary of the Current Study Dilated cardiomyopathy is a primary disorder of the myocardium of unknown cause characterized by pro180 E LD 140 120 mQ100Q4Q8Q XQ XQ _100 ~~~~~~~~~~~841% o q~ bn FIG 4. Contour plot of Cox proportional hazards model of survival. Log hazard=-0.8901 times ejection fraction minus 0.0315 times systolic blood pressure. Percentages are 3-year predicted survival based on baseline ejection fraction and systolic blood pressure. gressive left ventricular dilation, severely decreased global systolic function, and the activation of major neurohormonal systems.14-18 The purpose of this study was to examine the clinical and echocardiographic characteristics of a random cross section of patients with the clinical diagnosis of dilated cardiomyopathy and to determine the prognostic impli- cations of these characteristics. On average, patients with severe congestive heart failure had lower indices of systolic function and were more likely to have significant mitral regurgitation and greater left atrial and right ventricular dilation. Left ventricular diastolic filling abnormalities were prominent, with a restrictive-type filling pattern (that is, high E, low A, short deceleration time) being common. As previously pointed out,13 this filling pattern probably reflects higher early diastolic left atrial-left ventricular gradients and higher left atrial pressures. In multivariate analysis, variables of diastolic filling were independently associated with severe symptoms. This finding suggests that mitral inflow Doppler echocardiographic patterns add important information to the full hemodynamic characterization of patients with congestive heart failure and is congruent with previous work.3-5,12 2778 Circulation Vol 90, No 6 December 1994 Downloaded from http://circ.ahajournals.org/ by guest on June 16, 2017 With regard to survival, long-term outcome was best modeled by a multivariate model using two variables of systolic function: left ventricular ejection fraction and systolic blood pressure. The mitral deceleration time was significant only in univariate analysis. Nonetheless, consideration of this variable may still be useful clinically and may enhance patient management. It is evident (Fig 3) that subgroups with divergent prognoses may be identified on the basis of stratification by ejection fraction and deceleration time. Patients with an extremely short deceleration time and severe systolic dysfunction experienced rapid short-term attrition. Consideration of such variables may enhance the ability of clinicians to plan management, especially if orthotopic cardiac transplantation is being considered. Because approximately 50% of deaths in patients with dilated cardiomyopathy occur suddenly,219-22 it is not surprising that hemodynamic variables such as deceleration time do not completely predict prognosis. Comparison With Previous Work Multiple clinical predictors of survival among patients with dilated cardiomyopathy have been determined, including the cardiothoracic ratio, left ventricular ejection fraction and end-diastolic pressure, ventricular arrhythmias, conduction delays, left ventricular wall thickness, and the presence of the third heart sound.23-30 In our study, left ventricular wall thicknessradius ratio and crude stress calculations were postulated to be markers of late outcome, but this was found not to be the case, consistent with some27 but not a1128-30 previous studies. Two recently published European series4,5 examined left ventricular diastolic filling variables among patients with dilated cardiomyopathy. As in the current study, restrictive filling was highly associated with severe symptoms. Unlike the current study, however, restrictive filling was the most powerful predictor of future cardiac events and mortality. Because all retrospective case control and cohort studies are unavoidably affected by selection and referral biases, many important differences in the patient populations studied are apparent. We used a stratified random sample for case selection in an attempt to ensure a broad range of deceleration times and ejection fractions, whereas the other studies used consecutive case series. Regional variability may have had a role in determining differences in patient cohorts; for example, in one study4 the mean age of the cohort was 39 years, significantly less than that in the current study. Significant variability in a priori selection criteria existed as well; for example, minimally symptomatic patients and those with atrial fibrillation or severe mitral regurgitation were excluded but those with ischemic cardiomyopathy were included in one study.5 Important differences in construction of multivariable models also exist: in one study,4 neither fractional shortening nor ejection fraction were included in the multivariate analysis, and in another study,5 blood pressure was excluded. Thus, direct comparison of results is difficult. Strengths and Limitations All echocardiographic examinations were performed in an experienced laboratory and the data were recorded prospectively. To obtain clinically useful long- term follow-up information, patients examined when Doppler interrogation became routine in our laboratory (1986) were included. However, our study was a retrospective cohort analysis and has the inherent limitations of this design. Whereas the extremely short deceleration times in the severely symptomatic group are consistent with a rapidly decreasing early diastolic filling gradient with increasing left ventricular diastolic pressure (rapid filling wave), we were unable to assess the independent effect of mitral regurgitation on the mitral flow velocity profile, in particular, the E velocity. It is possible that the observed higher peak E velocities in the severely symptomatic group were partly due to the higher prevalence of moderate or severe mitral regurgitation among this group. In the early application of Doppler echocardiography, some variables (isovolumic relaxation times, dP/ dT,31 and pulmonary and systemic venous flow patterns) that may have provided additional information were not measured with sufficient frequency to warrant inclusion. Because simultaneous invasive monitoring was not performed, the ability to separate diastolic filling abnormalities due to fluid overload from those due to intrinsic myocardial processes and to rule out pseudonormalization was limited. Because not all patients returned to the Mayo Clinic for their follow-up examinations, the evolution of mitral inflow patterns and their modification by medical therapy were not considered. The retrospective nature of our study did not allow us to characterize accurately patient deaths as due to congestive heart failure or sudden (presumably arrhythmic) cardiac death. Thus, we did not use recurrent hospitalization as a clinical end point to avoid misclassification and incomplete data. However, these limitations do not detract from the value of the prognostic data determined in this manner. Conclusions In patients with the clinical diagnosis of dilated cardiomyopathy, variables of systolic dysfunction are the most important independent predictors of outcome; variables of diastolic filling add significantly to acute hemodynamic characterization and allow further identification of subgroups with divergent long-term prognoses. Two-dimensional and Doppler echocardiographic examinations are noninvasive methods for achieving these ends and should be considered in all patients with suspected or known dilated cardiomyopathy. Acknowledgment The authors thank Cynthia Crowson for computer programming and data analysis. References 1. Gillum RF. Idiopathic cardiomyopathy in the United States, 1970-1982.AmHeartJ. 1986;111:752-755. 2. Kopecky SL, Gersh BJ. Dilated cardiomyopathy and myocarditis: natural history, etiology, clinical manifestations, and management. Curr Probl Cardiol. 1987;12:573-647. 3. Vanoverschelde J-L, Raphael DA, Robert AR, Cosyns JR. 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