Gaining an early understanding of the likely ultimate efficacy of drugs is crucial for the pharmaceutical industry, as lack of efficacy remains a major reason for attrition in the later stages of drug development (Phase II and Phase III attrition rates 2011–2012. Nature Rev. Drug Discov. 12, 569; 2013)1. Drug development for cardiovascular and/or renal diseases is currently often based on the modification of a single risk factor, such as blood pressure or lipid profiles, with the expectation that this will decrease the long-term risk of morbidity or mortality. Thus, the risk factor serves as a surrogate for the intended effect. To confirm that the drug effect on the risk factor indeed leads to the expected long-term efficacy and safety, short-term trials focused on effects on the risk factor are (or should be) followed by one or more (post-registration) trials evaluating clinically meaningful outcomes, such as reduction in cardiovascular events, which are typically large, complex and expensive. In parallel to this process to investigate efficacy, the safety of the drug is established by monitoring a mostly fixed set of parameters in all efficacy trials.

Off-target drug effects

Current drug discovery and development for indications such as hypertension assumes two things; first, that the drug-induced change in an on-target risk factor, such as blood pressure, is the most important contributor to the anticipated reduction in cardiovascular/renal risk. Hence, the on-target drug effect should explain the drug effect on long-term outcome2. Second, it is assumed that the drug has no other effects that influence long-term outcome.

Although drug effects on blood pressure or cholesterol are important drivers of cardiovascular/renal risk reduction, we should recognize that drugs often have effects on other parameters (off-target effects), which may also be risk factors that contribute to long-term outcome, either in a positive or negative way. Indeed, many drugs currently used in cardiovascular/renal risk management have multiple effects on risk factors.

For example, angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) are registered for blood pressure lowering (their on-target effect), but also decrease urinary albumin excretion (an off-target effect). The albuminuria reduction induced by ACEIs or ARBs also reduces renal and cardiovascular risk, and thus amplifies the long-term on-target effect3,4,5. In addition to their cholesterol-lowering effects, statins decrease C-reactive protein (CRP) or albuminuria, which may contribute to cardiovascular protection6,7,8. Metformin improves markers of endothelial function independent of favourable changes in glycaemic control9. Sodium glucose co-transport inhibitors seem to exert multiple effects: they lower blood glucose, but also decrease blood pressure, body weight, and albuminuria, which may all contribute to long-term cardiovascular/renal protection10,11.

In the above examples, the off-target effect (or effects) amplify the on-target effect on organ protection. However, the off-target effect (or effects) may also offset the cardiovascular/renal protection. For example, ARBs increase serum potassium, leading to hyperkalaemia, and a study suggested that the increase in serum potassium blunted the renoprotective efficacy of the ARB losartan12.

Implications for drug development

There are two important issues with continuing to pursue cardiovascular/renal drug development strategies that focus on modifying single risk factors without due consideration of off-target effects. First, focusing only on the on-target effect could lead to underestimation of the true long-term drug effect by ignoring beneficial off-target effects. Second, and more concerning, by focusing solely on the on-target effect, potential long-term harmful effects may be overlooked in cases where adverse off-target effects override the beneficial on-target effect.

Providing an example of the first scenario, Hou and colleagues showed that titrating the dose of an ACEI or an ARB to the maximal albuminuria-lowering dose lowered blood pressure (the on-target marker) similarly to the maximal antihypertensive dose but resulted in a markedly larger renoprotective effect13. Another example was provided by the PLANET trials, which compared the effects of atorvastatin and rosuvastatin on renal function; the drugs seemed to decrease levels of LDL cholesterol to a similar extent but had different effects on kidney disease progression7. So, solely relying on the on-target drug effect may provide a false impression of the actual drug effect on renal or cardiovascular outcomes.

With respect to the second scenario, in the past 5 years, several large late-stage drug trials and even post-marketing studies have reported no effect or even harmful effects on clinically meaningful outcomes, despite the drug having shown promising beneficial effects on the on-target cardiovascular/renal risk factor, probably owing to off-target drug effects (Table 1; Supplementary information S1 (table); Supplementary information S2 (box)). For example, off-target effects with dual blockade of the renin–angiotensin–aldosterone system (RAAS) include induction of hyperkalaemia, which may increase cardiovascular risk and blunt the cardioprotective effect14.

Table 1 Selected studies of drugs that failed to provide additional cardiovascular/renal protection

These examples illustrate that not accounting for off-target drug effects has severe consequences: patients may be unnecessarily exposed to ineffective or even harmful drugs; in cases where such drugs reach the market, public trust in the drug regulatory and healthcare system may be eroded, and inaccurate prediction of ultimate drug efficacy means that companies invest resources in expensive failures.

Can we solve the problem?

Major mind-shifts by the different stakeholders involved in drug development and registration are needed before we can start addressing this problem. The artificial division into efficacy on the one hand and safety on the other has led to the false assumption that drug safety parameters contribute only marginally to the long-term efficacy outcome. As an example, the blood pressure (on-target) effects of drugs that intervene in the RAAS are classified under the efficacy paragraph in the drug labelling, whereas the (off-target) effects on albuminuria and potassium are listed in the safety sections.

So, we should consider drugs for cardiovascular/renal diseases as therapies with multiple effects, which could be either good or bad for long-term cardiovascular/renal disease prevention, and classify drugs based on their ultimate (long-term) intention and not on the short-term surrogate. In other words, we should not classify a drug as a blood-pressure-lowering or a lipid-lowering agent, but as a cardiovascular/renal protective agent (on the basis of multiple effects). This would also imply a change in the labelling of a drug. Thus, assuming the necessary evidence was gathered during clinical development, at marketing authorization, the drug could receive the label 'cardiovascular/renal protective drug', instead of a blood-pressure-lowering or cholesterol-lowering drug and would be prescribed to the appropriate patients based on their cardiovascular/renal risk.

Integrated score to estimate drug efficacy

Clearly, for such an approach to work, a surrogate that provides a reliable estimation of the drug effect on cardiovascular/renal outcomes is needed for drug discovery, dosing, and efficacy monitoring in clinical trials. Such a surrogate would involve the integration of multiple short-term effects of a drug — a composite response score. Just like risk scores that predict cardiovascular/renal risk for individual patients, the response score would need to include all parameters that contribute to the risk of an individual and would need to relate the change in these parameters to the ultimate cardiovascular/renal outcome.

We have developed such a composite multiple Parameter Response Efficacy score (PRE-score). This PRE-score involves both on-target and many off-target drug responses and integrates these into a score that aims to reflect the likelihood of long-term cardiovascular/renal risk change. The score, which is described in detail in Supplementary information S3 (box), was developed and validated by using data from trials of RAAS inhibitors and performed much better in predicting the effect of a drug on cardiovascular/renal morbidity and mortality than changes in single on-target or single off-target risk markers, in both a retrospective15 and a prospective application16. If the score is similarly predictive for other classes of drugs, it could provide early guidance for drug developers on which drug or which dose has the most potential to gain regulatory approval. It may also help in making well-informed regulatory decisions on novel drugs and in more effectively estimating the overall effect of the prescribed drug (or drugs) in clinical practice.

Concluding remarks

The recent expensive failures and the high drug attrition rates in late-stage cardiovascular drug development indicate that a rethinking of the strategies for developing such drugs is needed. Although it is well-known that such drugs have multiple effects, the off-target effects are not systematically assessed when evaluating ultimate patient outcomes, and, as we have highlighted here, ignoring these off-target effects profoundly affects drug development. We advocate an integrated approach accounting for the on-target and off-target drug effects with a multiple PRE-score in order to obtain an early and more accurate estimation of the overall effect of the drug on long-term clinical outcomes. This could not only help improving drug development and registration but may also improve drug prescribing and monitoring in clinical practice.