Acquired partial lipodystrophy

disorder

SNOMED 75659004CUI C0220989

Overview

Source: MedlinePlus.gov, National Library of Medicine. Not a substitute for medical advice.

Clinical Trials

Total Trials

Recruiting

With Results

Recent Trials

Open-label Study to Evaluate Metreleptin in Patients With Partial Lipodystrophy

NCT06484868Phase 4Recruiting12 enrolled

View all 1 trials on ClinicalTrials.gov

Signs & Symptoms

Based on Human Phenotype Ontology (HPO) disease-phenotype annotations.

Atrophy of fat

Very frequent (80-99%)HP:0100578

Autoimmunity

Frequent (30-79%)HP:0002960

Decreased serum complement C3 level

Frequent (30-79%)HP:0005421

Epilepsy

Frequent (30-79%)HP:0001250

Hearing impairment

Frequent (30-79%)HP:0000365

Increased total lymphocyte count

Frequent (30-79%)HP:0100827

Mental-retardation

Frequent (30-79%)HP:0001249

Myopathy

Frequent (30-79%)HP:0003198

Progeroid facial appearance

Frequent (30-79%)HP:0005328

Arthritic pain

Occasional (5-29%)HP:0002829

Body fails to respond to insulin

Occasional (5-29%)HP:0000855

Fatty liver

Occasional (5-29%)HP:0001397

Generalized hirsutism

Occasional (5-29%)HP:0002230

Glomerulopathy

Occasional (5-29%)HP:0100820

Immune deficiency

Occasional (5-29%)HP:0002721

Microhematuria

Occasional (5-29%)HP:0002907

Proteinuria

Occasional (5-29%)HP:0000093

Related Conditions

Lipodystrophy, partial, with Rieger anomaly, short stature, and insulinopenic diabetes mellitus(child)

Panniculitis induced localized lipodystrophy(child)

Lipodystrophy(parent)

Quick Facts

SNOMED CT: 75659004
UMLS CUI: C0220989
Fully Specified Name: Acquired partial lipodystrophy (disorder)
Specialists: 0
Diagnostic Biomarkers: 0
HPO Phenotypes: 17
Clinical Trials: 1

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.