← Back to Conditions
Cell death inducing DFFA like effector C-related familial partial lipodystrophy
disorderSNOMED 1197749008CUI C3808940
Overview
Cell death inducing DFFA like effector C-related familial partial lipodystrophy is a disorder.
Auto-generated from clinical reference data. Not a substitute for medical advice.
Signs & Symptoms
Based on Human Phenotype Ontology (HPO) disease-phenotype annotations.
Diabetic ketoacidosis
Always present (100%)HP:0001953
High blood pressure
Always present (100%)HP:0000822
Inability to make and keep healthy fat tissue
Always present (100%)HP:0009125
Increased C-peptide level
Always present (100%)HP:0030796
Loss of subcutaneous adipose tissue from extremities
Always present (100%)HP:0003635
Menstrual irregularity
Always present (100%)HP:0000858
Acanthosis nigricans
Very frequent (80-99%)HP:0000956
Decreased adiponectin level
Very frequent (80-99%)HP:0030685
Decreased serum leptin
Very frequent (80-99%)HP:0003292
Enlarged liver
Very frequent (80-99%)HP:0002240
Fatty liver
Very frequent (80-99%)HP:0001397
Hypertrophic muscles
Very frequent (80-99%)HP:0003712
Increased size of calf muscles
Very frequent (80-99%)HP:0008981
Increased triglycerides
Very frequent (80-99%)HP:0002155
Insulin-resistant diabetes
Very frequent (80-99%)HP:0000831
Light or infrequent menstrual periods
Very frequent (80-99%)HP:0000876
Loss of fat tissue below the skin in gluts
Very frequent (80-99%)HP:0009017
Pancreatitis
Very frequent (80-99%)HP:0001733
Polycystic ovary disease
Very frequent (80-99%)HP:0000147
Quick Facts
- SNOMED CT
- 1197749008
- UMLS CUI
- C3808940
- Fully Specified Name
- Cell death inducing DFFA like effector C-related familial partial lipodystrophy (disorder)
- Specialists
- 0
- Diagnostic Biomarkers
- 0
- HPO Phenotypes
- 19
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.