Signs & Symptoms
Based on Human Phenotype Ontology (HPO) disease-phenotype annotations.
Acantholysis
Very frequent (80-99%)HP:0100792
Blister
Very frequent (80-99%)HP:0008066
Diarrhea
Very frequent (80-99%)HP:0002014
Erythema
Very frequent (80-99%)HP:0010783
Flat, discolored area of skin
Very frequent (80-99%)HP:0012733
Nausea and vomiting
Very frequent (80-99%)HP:0002017
Pyrexia
Very frequent (80-99%)HP:0001945
Tiredness
Very frequent (80-99%)HP:0012378
Weight loss
Very frequent (80-99%)HP:0001824
Abnormality of neutrophils
Frequent (30-79%)HP:0001874
Deglutition disorder
Frequent (30-79%)HP:0002015
Excessive salivation
Frequent (30-79%)HP:0003781
Abnormal liver function tests
Occasional (5-29%)HP:0002910
Abnormal myocardium morphology
Occasional (5-29%)HP:0001637
Abnormal pleura morphology
Occasional (5-29%)HP:0002103
Acute liver failure
Occasional (5-29%)HP:0006554
Conjunctivitis
Occasional (5-29%)HP:0000509
Corneal erosion
Occasional (5-29%)HP:0200020
Coughing
Occasional (5-29%)HP:0012735
Difficulty breathing
Occasional (5-29%)HP:0002094
Dull burning sensation with urination
Occasional (5-29%)HP:0100518
Dyspareunia
Occasional (5-29%)HP:0030016
Esophageal stricture
Occasional (5-29%)HP:0002043
Eyelid turned in
Occasional (5-29%)HP:0000621
Gastrointestinal haemorrhage
Occasional (5-29%)HP:0002239
Hypokalemic metabolic alkalosis
Occasional (5-29%)HP:0001960
Infection in blood stream
Occasional (5-29%)HP:0100806
Low number of red blood cells or hemoglobin
Occasional (5-29%)HP:0001903
Myocardial infarction
Occasional (5-29%)HP:0001658
Pancreatitis
Occasional (5-29%)HP:0001733
Quick Facts
- SNOMED CT
- 73442001
- UMLS CUI
- C0038325
- Fully Specified Name
- Stevens-Johnson syndrome (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.