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Cell death inducing DFFA like effector C-related familial partial lipodystrophy

disorder
SNOMED 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.