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Speech-language disorder type 1

disorder
SNOMED 1365977003CUI C0750927

Overview

Speech-language disorder type 1 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.

Abnormal vocalization
Very frequent (80-99%)HP:0002167
Delayed language development
Very frequent (80-99%)HP:0000750
Abnormal prosody
Frequent (30-79%)HP:0031434
Communication delay
Frequent (30-79%)HP:0002474
Deficit in grammar
Frequent (30-79%)HP:0006977
Difficulty articulating speech
Frequent (30-79%)HP:0001260
Fine motor skill dysfunction
Frequent (30-79%)HP:0007010
Incomprehensible speech
Frequent (30-79%)HP:0002546
Problems speaking
Frequent (30-79%)HP:0002465
Receptive language delay
Frequent (30-79%)HP:0010863
Specific learning disability
Frequent (30-79%)HP:0001328
Speech dyspraxia
Frequent (30-79%)HP:0011098
Abnormal caudate nucleus morphology
Occasional (5-29%)HP:0002339
Caudate degeneration
Occasional (5-29%)HP:0002340
Delayed milestone development
Occasional (5-29%)HP:0012434
Drooling
Occasional (5-29%)HP:0002307
Feeding difficulties
Occasional (5-29%)HP:0011968
Poor gross motor coordination
Occasional (5-29%)HP:0007015
ASD
Very rare (1-4%)HP:0000729
Lack of eyebrow curvature
Very rare (1-4%)HP:0011228
Narrow, high-arched roof of mouth
Very rare (1-4%)HP:0002705
Overfolded helix
Very rare (1-4%)HP:0000396
Submucous cleft hard palate
Very rare (1-4%)HP:0000176
Abnormality of the basal ganglia
HP:0002134
Oromotor apraxia
HP:0007301

Quick Facts

SNOMED CT
1365977003
UMLS CUI
C0750927
Fully Specified Name
Isolated childhood apraxia of speech (disorder)
Specialists
0
Diagnostic Biomarkers
0
HPO Phenotypes
25
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.