Why the study?
Can surrogate measures predict the effects of drugs on mortality in chronic heart failure?
Can surrogate measures predict the effects of drugs on mortality in chronic heart failure?
A single surrogate marker is insufficient to predict mortality benefits of heart failure drugs, suggesting a battery of surrogates including heart rate variability, QT dispersion, and neurohormones may be more appropriate.
Surrogates should not yet guide HF drug selection or trial design; leaves open whether multi-marker panels merit prospective validation.
Clearly at present, the one perfect surrogate marker for mortality remains elusive. Chronic heart failure is a complex syndrome: as such it may perhaps be too simplistic to expect any single parameter to be universally predictive of drug effects on mortality, especially when each drug works by different mechanisms. Nevertheless, neurohormonal antagonists, such as ACE inhibitors and beta-blockers, seem to benefit both mortality and all surrogate markers of mortality. Equally, inotropic drugs and Class I antiarrhythmics appear to worsen both mortality and many surrogates. This is encouraging. However, significant discrepancies exist, particularly for digoxin, ibopamine and hydralazine-nitrates, although it is only with the latter two that diametrically opposite effects occurred, whereby favourable surrogate effects turned into unfavourable mortality effects (or vice versa). It appears appropriate to have guarded optimism about the potential use of these surrogates to predict drug effects in chronic heart failure. Given our current understanding, none of the parameters discussed above is perfect when used alone. Perhaps a battery of surrogates would be more appropriate rather than there being any single surrogate. The most promising surrogates are heart rate variability, QT dispersion and plasma neurohormones, the first two for sudden death and the last one for death from progressive disease.
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YEE et al. (1997) studied this question.
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