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      Cardiac Resynchronization in Chronic Heart Failure

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          Abstract

          Previous studies have suggested that cardiac resynchronization achieved through atrial-synchronized biventricular pacing produces clinical benefits in patients with heart failure who have an intraventricular conduction delay. We conducted a double-blind trial to evaluate this therapeutic approach. Four hundred fifty-three patients with moderate-to-severe symptoms of heart failure associated with an ejection fraction of 35 percent or less and a QRS interval of 130 msec or more were randomly assigned to a cardiac-resynchronization group (228 patients) or to a control group (225 patients) for six months, while conventional therapy for heart failure was maintained. The primary end points were the New York Heart Association functional class, quality of life, and the distance walked in six minutes. As compared with the control group, patients assigned to cardiac resynchronization experienced an improvement in the distance walked in six minutes (+39 vs. +10 m, P=0.005), functional class (P<0.001), quality of life (-18.0 vs. -9.0 points, P= 0.001), time on the treadmill during exercise testing (+81 vs. +19 sec, P=0.001), and ejection fraction (+4.6 percent vs. -0.2 percent, P<0.001). In addition, fewer patients in the group assigned to cardiac resynchronization than control patients required hospitalization (8 percent vs. 15 percent) or intravenous medications (7 percent vs. 15 percent) for the treatment of heart failure (P<0.05 for both comparisons). Implantation of the device was unsuccessful in 8 percent of patients and was complicated by refractory hypotension, bradycardia, or asystole in four patients (two of whom died) and by perforation of the coronary sinus requiring pericardiocentesis in two others. Cardiac resynchronization results in significant clinical improvement in patients who have moderate-to-severe heart failure and an intraventricular conduction delay.

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          Development and prospective validation of a clinical index to predict survival in ambulatory patients referred for cardiac transplant evaluation.

          Risk stratification of patients with end-stage congestive heart failure is a critical component of the transplant candidate selection process. Accurate identification of individuals most likely to survive without a transplant would facilitate more efficient use of scarce donor organs. Multivariable proportional hazards survival models were developed with the use of data on 80 clinical characteristics from 268 ambulatory patients with advanced heart failure (derivation sample). Invasive and noninvasive models (with and without catheterization-derived data) were constructed. A prognostic score was determined for each patient from each model. Stratum-specific likelihood ratios were used to develop three prognostic-score risk groups. The models were prospectively validated on 199 similar patients (validation sample) by calculation of the area under the receiver operating characteristic curve for 1-year event-free survival, the censored c-index for event-free survival, and comparison of event-free survival curves for prognostic-score risk strata. Outcome events were defined as urgent transplant or death without transplant. The noninvasive model performed well in both samples, and increased performance was not attained by the addition of catheterization-derived variables. Prognostic-score risk groups derived from the noninvasive model in the derivation sample effectively stratified the risk of an outcome event in both samples (1-year event-free survival for derivation and validation samples, respectively: low risk, 93% and 88%; medium risk, 72% and 60%; high risk, 43% and 35%). Selection of candidates for cardiac transplantation may be improved by use of this noninvasive risk-stratification model.
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            Factors influencing the one-year mortality of dilated cardiomyopathy.

            This study was designed to determine prognostic risk indicators of nonischemic dilated cardiomyopathy (DC). Sixty-nine patients were studied. Each patient underwent physical examination (including a history), electrocardiography, echocardiography, cardiac catheterization, 24-hour monitoring and endomyocardial biopsy. The mortality rate at 1 year was 35% (24 deaths). Univariate analysis revealed that the most powerful predictor of prognosis was the left intraventricular conduction delay (p = 0.003). The pulmonary capillary wedge pressure was also predictive of mortality (p = 0.005). Other significant factors, in order of importance, were ventricular arrhythmias (p = 0.007), mean right atrial pressure (p = 0.008), angiographic ejection fraction (p = 0.03), atrial fibrillation or flutter (p = 0.01) and the presence of an S3 gallop (p = 0.05). Factors such as duration of symptoms, presence of mitral regurgitation, end-diastolic diameter, myocardial cell size and percent fibrosis in the biopsy and treatment with vasodilators, antiarrhythmic and anticoagulant drugs were not significant predictors. Multivariate analysis was used to determine which combination of factors could most accurately predict survival and death. The most important factors were left conduction delay, ventricular arrhythmias and mean right atrial pressure. An equation was derived that can be applied to the prognosis of patients with DC. Thus, the clinical assessment of patients with DC can accurately predict the probability of surviving or dying in 1 year.
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              Intraventricular conduction delay: a prognostic marker in chronic heart failure.

              Chronic heart failure (CHF) is associated with high mortality, and there are several established clinical and laboratory parameters that predict mortality in CHF. The purpose of this study was (a) to identify the best ECG parameter that predicts mortality, (b) to evaluate the prognostic marker of ECG against well-established indicators of prognosis. Relevant data from 241 CHF patients were analysed retrospectively. Cardiopulmonary exercise testing and radionuclide ventriculogram were also performed where possible. The mean follow-up period was 31 months. On univariate analysis by the Cox proportional Hazard method, intraventricular conduction delay (IVCD) [P<0.0001, hazard ratio 1.017 (1.011-1.024)] and QTc [P<0.0001, hazard ratio 1.012 (1.006-1.017)] were identified as predictors of mortality. On bivariate analysis, IVCD and MVO2 were better predictors when combined together. A model based on multivariate analysis showed that IVCD, MVO2 and left ventricular ejection fraction (LVEF) were the best predictors of mortality. The addition of plasma sodium, age and NYHA class had no added benefit on the predictive power of the model. Further analysis of IVCD and QTc showed that, for different cut-off values, IVCD is better than QTc, and that there is a graded increase in mortality with increasing value of IVCD. We have found that IVCD is an important ECG predictor of prognosis in patients with CHF.
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                Author and article information

                Journal
                New England Journal of Medicine
                N Engl J Med
                Massachusetts Medical Society
                0028-4793
                1533-4406
                June 13 2002
                June 13 2002
                : 346
                : 24
                : 1845-1853
                Article
                10.1056/NEJMoa013168
                12063368
                40fdf237-b91f-4cd7-99d2-9a65e7aa5ead
                © 2002
                History

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