| Literature DB >> 35371453 |
Lauren Floyd1, Adam D Morris1, Alexander Woywodt1, Ajay Dhaygude1.
Abstract
The association between cardiovascular (CV) disease and anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is well documented. The recent work by Massicotte-Azarniouch et al. confirms the risk and adds to the existing evidence by describing the highest risk in the first 3 months after diagnosis. In this review, we aim to put their findings into perspective and formulate implications for the care of AAV patients. We discuss mechanisms for increased CV disease in AAV, including the impact of traditional risk factors and disease-related risks such as renal impairment and anti-myeloperoxidase (MPO) ANCA serotype. We also provide a brief primer on the impact of inflammatory-driven endothelial dysfunction and platelet activation on accelerated atherosclerosis in AAV patients. These features alongside the impact of disease activity and systemic inflammation provide potential explanations to why the incidence of CV events is highest in the first 3 months from diagnosis. We suggest future avenues of research, provide some suggestions to address and treat CV risk based on current evidence, and highlight the importance of addressing this topic early on. Addressing modifiable risk factors, dialogue with patients, patient information and a structured approach overall will be key to improve CV outcomes in AAV.Entities:
Keywords: cardiovascular; medication; prognosis; treatment; vasculitis
Year: 2022 PMID: 35371453 PMCID: PMC8967680 DOI: 10.1093/ckj/sfac009
Source DB: PubMed Journal: Clin Kidney J ISSN: 2048-8505
Areas of uncertainty, suggested avenues of research and proposed study models
| Research question | Proposed research model |
|---|---|
| Risk prediction model for determining those with AAV at highest risk of CVD | Prospective and retrospective cohorts can be used to inform on a binary outcome and predictive variables for adverse CV events in AAV. Using regression coefficients to predict CV risk and outcomes in AAV |
| Association between GTI and CV events | Retrospective cohort study comparing GTI scores and relationship with CV outcomes |
| Methods to identify early atheromatous disease in AAV | Prospective cohort study looking at the use of imaging to reliably identify early atheromatous disease and correlate with CV events and outcomes |
| Antiphospholipid antibodies and CV risk | Prospective, long-term cohort study, identifying those with antiphospholipid antibodies and observing the incidence of CV events between patients with and without antibodies |
| Impact of aspirin in AAV to reduce CV events | Randomized control trial looking at CV outcomes such as MI, stroke and death from CVD |
| Timing of strategies to address CV risk | Randomized controlled trial comparing a strategy of addressing CV risk early on versus addressing it later, i.e. when in remission |
| More aggressive imaging to identify occult cardiac and vascular disease | Randomized controlled trial comparing a strategy of early imaging versus standard of care |
| The role of ACE inhibitors/ARBs and DRI in improving CV events and mortality | Randomized controlled trial looking at effect of ACE inhibitors/ARBs and DRIs on CV events and mortality |
Suggestions to improve CV risk in AAV
| Consider CV risk at baseline and use established scores for risk stratification, e.g. GTI |
| Re-assess CV risk periodically, e.g. every 3 months |
| Document CV risk and risk factors in clinic letters |
| Consider therapeutic regimes with less steroid exposure in patients with high CV risk |
| Address CV risk early in the diagnosis and do not delay until remission is achieved |
| Educate patients on their individual CV risk |
| Aim for smoking cessation in current smokers |
| Manage traditional risk factors such as blood pressure, diabetes and hyperlipidaemia |
| Include CV risk in departmental algorithms and guidelines |
FIGURE 1:Pathogenic factors influencing CVD in AAV. BMI, body mass index.