Why the study?
Few studies have assessed PAPP-A in stable CAD and results are conflicting.
Does elevated PAPP-A predict cardiovascular events or death in patients with stable coronary artery disease?
Does elevated PAPP-A predict cardiovascular events or death in patients with stable coronary artery disease?
Elevated PAPP-A is associated with increased long-term mortality in stable CAD but does not improve risk prediction beyond established clinical predictors.
Does not improve risk prediction beyond established factors in stable CAD; leaves open PAPP-A's incremental value in refined models.
Elevated pregnancy-associated plasma protein A (PAPP-A) is associated with mortality in acute coronary syndromes. Few studies have assessed PAPP-A in stable coronary artery disease (CAD) and results are conflicting. We assessed the 10-year prognostic relevance of PAPP-A levels in stable CAD. The CLARICOR trial was a randomized controlled clinical trial including outpatients with stable CAD, randomized to clarithromycin versus placebo. The placebo group constituted our discovery cohort (n = 1.996) and the clarithromycin group the replication cohort (n = 1.975). The composite primary outcome was first occurrence of cardiovascular event or death. In the discovery cohort, incidence rates (IR) for the composite outcome were higher in those with elevated PAPP-A (IR 12.72, 95% Confidence Interval (CI) 11.0–14.7 events/100 years) compared to lower PAPP-A (IR 8.78, 8.25–9.34), with comparable results in the replication cohort. Elevated PAPP-A was associated with increased risk of the composite outcome in both cohorts (discovery Hazard Ratio (HR) 1.45, 95% CI 1.24–1.70; replication HR 1.29, 95% CI 1.10–1.52). In models adjusted for established risk factors, these trends were attenuated. Elevated PAPP-A was associated with higher all-cause mortality in both cohorts. We conclude that elevated PAPP-A levels are associated with increased long-term mortality in stable CAD, but do not improve long-term prediction of death or cardiovascular events when added to established predictors.
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Nilsson et al. (2020) studied this question.
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