Comparison between classical polyarteritis nodosa and single organ vasculitis of medium-sized vessels: a retrospective study of 25 patients and review of the literature

Abstract

Background:: Polyarteritis nodosa (PAN) is a rare form of systemic vasculitis, characterized by necrotizing inflammation of medium-sized vessels. In clinical practice, the distinction is made between a limited, mostly cutaneous, form and a generalized form. The Chapel Hill Consensus Conference of 2012 on the classification of the vasculitides classifies PAN as a medium vessel vasculitis, whereas the limited forms fall under the heading ‘single-organ vasculitis’ (SOV), with subdivions such as ‘cutaneous arteritis’ (formerly called cutaneous PAN) and ‘others’. In this last category, forms of PAN limited to a single organ (e.g. testicle, gall bladder or appendix) should be categorized. The relation between classical and limited forms of PAN remains enigmatic.

Objective:: To compare demographics, clinical characteristics and prognosis between SOV and generalized PAN.

Methods:: Clinical files of all patients with a diagnosis of classical or limited PAN made in the departments of general internal medicine and dermatology between 1983 and 2013 in a tertiary care university hospital were reviewed.

Results:: The patients of the SOV group tend to be younger, with a female predominance, while we observed a male predominance in the generalized PAN group. Relapses were more common in SOV than in classical PAN. None of the patients initially diagnosed with cPAN/SOV progressed to generalized disease.

Discussion:: Though SOV and classical PAN share a lot of similarities, they are probably different disease entities, based on their different demographical, clinical and prognostic characteristics. The 1990 ACR-criteria for classical PAN are too broad since they allow patients with limited disease to be classified as classic PAN.

Keywords:

• Vasculitis
• Polyarteritis nodosa
• Single organ vasculitis

Acknowledgements

We would like to express our thanks to Professor Dr S. Vanderschueren for his help in the statistical analysis of the data.