Evidence map›Paper›PMID 42005187›Full record

ArticleCureus2026

Infantile Kawasaki Disease Mimicking Polyarteritis Nodosa With Severe Ischemic Complications: A Case Report.

Nadia Mebrouk, Bouchra Chkirate

Abstract readCase Reports
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Nadia MebroukPediatrics Department, Pediatrics Cardiology Unit, Children's Hospital, Ibn Sina University Hospital Center, Faculty of Medicine and Pharmacy of Rabat, Mohammed V University, Rabat, MAR.
Bouchra ChkiratePediatrics Department, Rheumatology and Pediatric Internal Medicine Unit, Children's Hospital, Ibn Sina University Hospital Center, Faculty of Medicine and Pharmacy of Rabat, Mohammed V University, Rabat, MAR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kawasaki disease (KD) is an acute medium-vessel vasculitis that primarily affects young children. In infants, the clinical presentation is frequently atypical or incomplete, with signs appearing progressively and non-simultaneously, which may lead to delayed diagnosis and increase the risk of severe vascular complications. Rarely, KD may present with angiographic findings mimicking polyarteritis nodosa (PAN), further complicating the diagnostic assessment. We report the case of a four-month-old male infant admitted for prolonged fever associated with initially incomplete mucocutaneous manifestations and rapidly progressive digital ischemia. The staggered appearance of symptoms resulted in initial management for presumed infection and subsequent diagnostic delay. Imaging studies revealed multiple extracoronary aneurysms involving medium-sized arteries, distal arterial occlusions, and giant coronary artery aneurysms, suggesting a systemic vasculitis resembling PAN. However, upon careful reassessment of the clinical evolution, the patient's young age and the presence of coronary artery involvement supported the diagnosis of a severe form of infantile KD. Treatment with intravenous immunoglobulins, corticosteroids, and antithrombotic therapy led to clinical and biological improvement, with regression of vascular lesions on follow-up imaging. This case highlights the importance of early consideration of KD in febrile infants presenting with systemic vascular involvement to prevent irreversible ischemic complications.

Indexed as

coronary artery aneurysmsdigital ischemiainfantile kawasaki diseasepolyarteritis nodosasystemic vasculitis

Identifiers

PMID42005187
PMCPMC13090089

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.