Signs & Symptoms
Based on Human Phenotype Ontology (HPO) disease-phenotype annotations.
Arthralgias
Very frequent (80-99%)HP:0002829
Blood in urine
Very frequent (80-99%)HP:0000790
Blood spots
Very frequent (80-99%)HP:0000979
Bruising susceptibility
Very frequent (80-99%)HP:0000978
Death of digestive organ tissue due to poor blood supply
Very frequent (80-99%)HP:0005244
Gastro pain
Very frequent (80-99%)HP:0002027
Inflammation of blood vessel
Very frequent (80-99%)HP:0002633
Nausea and vomiting
Very frequent (80-99%)HP:0002017
Pustules
Very frequent (80-99%)HP:0200039
Skin rash
Very frequent (80-99%)HP:0000988
Anorexia
Frequent (30-79%)HP:0002039
Brain inflammation
Frequent (30-79%)HP:0002383
Erythema
Frequent (30-79%)HP:0010783
Inflammation of testicles
Frequent (30-79%)HP:0100796
Intermittent migraine headaches
Frequent (30-79%)HP:0002076
Joint inflammation
Frequent (30-79%)HP:0001369
Muscle pain
Frequent (30-79%)HP:0003326
Open skin sore
Frequent (30-79%)HP:0200042
Pyrexia
Frequent (30-79%)HP:0001945
Vascular abnormalities restricted to skin
Frequent (30-79%)HP:0011276
Angiooedema
Occasional (5-29%)HP:0100665
Episcleritis
Occasional (5-29%)HP:0100534
Flat, discolored area of skin
Occasional (5-29%)HP:0012733
Gastrointestinal haemorrhage
Occasional (5-29%)HP:0002239
Glomerulopathy
Occasional (5-29%)HP:0100820
Hives
Occasional (5-29%)HP:0001025
Muscle weakness
Occasional (5-29%)HP:0001324
Optic atrophy
Occasional (5-29%)HP:0000648
Paralysis or weakness of one side of body
Occasional (5-29%)HP:0004374
Proteinuria
Occasional (5-29%)HP:0000093
Quick Facts
- SNOMED CT
- 191306005
- UMLS CUI
- C0034152
- Fully Specified Name
- Immunoglobulin A vasculitis (disorder)
- Specialists
- 0
- Diagnostic Biomarkers
- 0
- HPO Phenotypes
- 30
Medical Disclaimer
This information is for educational purposes only and does not constitute medical advice, diagnosis, or treatment. Always consult with a qualified healthcare provider regarding any medical condition or treatment plan.
Clinical content is derived from the SNOMED CT clinical ontology and curated medical knowledge graphs.