Signs & Symptoms
Based on Human Phenotype Ontology (HPO) disease-phenotype annotations.
Arthralgias
Very frequent (80-99%)HP:0002829
Depressive episode
Very frequent (80-99%)HP:0000716
Multiple, subcutaneous nodules
Very frequent (80-99%)HP:0001482
Obesity
Very frequent (80-99%)HP:0001513
Psychosis
Very frequent (80-99%)HP:0000709
Tiredness
Very frequent (80-99%)HP:0012378
Belly bloating
Frequent (30-79%)HP:0003270
Decreased sexual hair
Frequent (30-79%)HP:0002225
Dyslipidaemia
Frequent (30-79%)HP:0003119
Elevated C-reactive protein level
Frequent (30-79%)HP:0011227
Elevated sedimentation rate
Frequent (30-79%)HP:0003565
Increased total hemolytic complement activity
Frequent (30-79%)HP:0031905
Overweight
Frequent (30-79%)HP:0025502
Painful subcutaneous lipomas
Frequent (30-79%)HP:0007596
Prostration
Frequent (30-79%)HP:0025406
sparse to absent axillary hair
Frequent (30-79%)HP:0002215
Subcutaneous lipoma
Frequent (30-79%)HP:0001031
Upset stomach
Frequent (30-79%)HP:0002027
Arthritis
Occasional (5-29%)HP:0001369
Autoimmunity
Occasional (5-29%)HP:0002960
Breast pain
Occasional (5-29%)HP:0034265
Bruising susceptibility
Occasional (5-29%)HP:0000978
Constipation
Occasional (5-29%)HP:0002019
Diabetes mellitus
Occasional (5-29%)HP:0000819
Diarrhea
Occasional (5-29%)HP:0002014
Headache
Occasional (5-29%)HP:0002315
High blood pressure
Occasional (5-29%)HP:0000822
Hypothyroidism
Occasional (5-29%)HP:0000821
Memory impairment
Occasional (5-29%)HP:0002354
Mental deterioration in childhood
Occasional (5-29%)HP:0002376
Related Conditions
Quick Facts
- SNOMED CT
- 71404003
- UMLS CUI
- C0001529
- Fully Specified Name
- Lipomatosis dolorosa (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.