The incidence and clinical predictors of ACE-inhibitor induced dry cough by perindopril in 27,492 patients with vascular disease
Introduction
The angiotensin-converting enzyme (ACE) inhibitors are a keystone in the treatment of cardiovascular disease (CVD). The effectiveness of ACE-inhibitors in reducing CVD risk has been consistently established by several large clinical trials in a broad variety of patients at different levels of risk, from patients with overt heart failure to patients at relatively low-risk with stable coronary artery disease (CAD) and preserved left ventricular function [1], [2], [3], [4], [5], [6], [7], [8]. The consistent body of evidence for the use of ACE-inhibitors in these patient groups has led to their widespread implementation in clinical practice [1], [2], [3], [4], [5], [6], [7], [8]. Nowadays, the use of ACE inhibitors is recommended in international guidelines of the European Society of Cardiology (ESC), American heart Association (AHA) and American College of Cardiology (ACC) on the management of patients with hypertension, stable CAD, myocardial infarction, and heart failure [9], [10], [11]. Worldwide, tens of millions of patients are using ACE-inhibitors.
Common side effects of ACE-inhibitors include dry cough, hypotension, hyperkalemia, headache, dizziness and renal impairment [8]. A persistent dry cough is the most common adverse effect of ACE-inhibitors which is believed to be related to an increased production in bradykinin [11], [12], [13]. In a recent review, the incidence of dry cough in patients using ACE-inhibitors varied from 10% to as high as 35% [11], [12], [13]. Dry cough usually develops in the first week or 1 month after starting the drug and is assumed to be more frequent in women and in Asian people [11], [12], [13]. Once ACE-inhibitor therapy is stopped, cough usually disappears within 1 week. Patients who experience this dry cough are often switched to angiotensin-II receptor antagonists (ARB), in agreement with ESC guidelines recommendations [9], [10], [11].
Prior studies assessing risk of cough are severely limited by small sample size, short follow-up and low number of events, which explains the large differences in reported incidences [14], [15], [16]. As dry cough is a frequent reason to switch therapy it is clinically highly relevant to study the extent of this side-effect as well as its clinical determinants. We performed a large scale meta-analysis with access to individual data to assess the incidence and clinical predictors of cough leading to discontinuation in patients with cardiovascular disease treated with the ACE-inhibitor perindopril, which is one of the most potent ACE-inhibitors also when considering the effect on bradykinin levels [8].
Section snippets
Methods
The methodological principles that lie behind a combined analysis of randomized clinical trials based on data from individual patient have been described in detail [17], [18]. We therefore only briefly describe the applied methods of trial selection, data-management, endpoint definitions and statistical analysis [18].
Trial selection
We obtained data from the ADVANCE, EUROPA, and PROGRESS studies that are the three main large randomized clinical trials with a regimen based primarily on the ACE-inhibitor perindopril [7], [19], [20]. Since all trials studied a regimen based on the same agent, perindopril, we had the opportunity to include individual data in this combined analysis, which enabled important subgroup analyses at patient level. The types of patients included in these studies were different with respect to their
Outcome
The primary outcome variable was the incidence of ACE-inhibitor induced dry cough which was defined as the occurrence of dry cough which leads to the discontinuation of study treatment. The incidence of cough refers to “discontinuing of treatment by the ACE-inhibitor perindopril due to cough” throughout the manuscript. During the run-in period of all three trials, patients were prescribed the ACE-inhibitor perindopril in up-titrating dose to 4 mg (ADVANCE, PROGRESS) or 8 mg (EUROPA). The
Statistical analysis
Summary statistics for continuous variables are presented as mean ± 1 standard deviation. Categorical data are summarized as frequencies and percentages. One-way analysis of variance and Pearson chi-square tests were used to calculate p values. Univariate and multivariate logistic regression analyses were applied to examine the association between baseline variables and ACE-inhibitor cough. In multivariable analysis, we adjusted for the following (potentially) confounding baseline
Results
The baseline characteristics of the total study population (n = 27,492 ACE-inhibitor naive patients) have been summarized in Table 1. The mean (SD) age was 62.7 (9.1) years, 26.9% were female, 37.3% hypertensives, 36.1% diabetics, and 35.9% had experienced a previous MI. Mean blood pressure was 141/82 mm Hg. 73.8% were taking anti-platelet agents, 40.0% beta-blockers, 38.9% lipid-lowering agents and 32.3% calcium antagonists. Of the 27,492 ACE-inhibitor naive patients at the start of the run-in
Discussion
The current meta-analysis with individual data of 27,492 patients with (cardio-)vascular disease treated with ACE-inhibitors, showed an overall incidence of ACE-inhibitor induced cough of 3.9%, which is lower as compared to previous reports in literature. Clinical determinants of ACE-inhibitor dry cough are female gender, older age and the use of lipid-lowering agents in multivariate analysis. No difference in the incidence of ACE-inhibitor induced dry cough was found between Caucasians and
Funding
This combined analysis was initiated by the authors and was designed, conducted, interpreted, and reported independently of the original sponsor. The current study had no funding source or any with a participating role in data collection, outcome assessment, or writing of the manuscript. All authors had joint responsibility for the decision to submit for publication.
Conflict of interest
J.J.B., A.H., J.D., K.A., F.Z., K.C., E.B., and K.A. have declared no conflict of interest. J.C., S.M., M.B., W.R., K.F., R.F., F.M. and M.L.S. have received research grants and fees from Servier. KF is an NIHR Senior Investigator supported by the NIHR Cardiovascular Biomedical Research Unit at the Royal Brompton Hospital
Acknowledgments
All authors contributed to the analysis of the data and writing of the report. All authors approved the final version of the manuscript. Dr J.J.B. and Dr H.A. merged individual data from the trials and had full access to the total data sets of all three trials. Dr J.J.B. performed the statistical analyses.
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