AutoICD API

79563-3

Laboratory

Mucopolysaccharidosis type I newborn screening panel

Definition

The Mucopolysaccharidosis type I (MPS I) newborn screening panel is used to report the results of newborn screening for the diagnosis of MPS I, also known as Hurler syndrome, an inherited disorder in which the body is unable to produce an enzyme that is involved in the breakdown of large sugar molecules called glycosaminoglycans (GAGs). MPS I is caused by mutations in the IDUA gene and has an autosomal recessive pattern of inheritance.

LOINC 6-Axis Classification

Component

Mucopolysaccharidosis type I newborn screening panel

Property

-

Time Aspect

Pt

System

Bld.dot

Scale Type

-

Method Type

N/A

Details

Class

PANEL.CHEM

Order/Observation

Order

Short Name

MPS I NBS Pnl DBS

Display Name

Mucopolysaccharidosis type I NBS panel (DBS)

Related Names

alpha-L-IduronidaseAsymptAsymptomaticBloodChemistryDBSDried blood spotFilter paperFPGynGynecologyIDUAMPS IMPS I NBS PnlMPS-INB Screen PnlNBSNew bornOBObGynObstetricsPanPANEL.CHEMISTRYPanlPnlPoint in timeRandomScnWBWhole blood

Frequently Asked Questions

What is LOINC code 79563-3?

LOINC code 79563-3 identifies "Mucopolysaccharidosis type I newborn screening panel". The Mucopolysaccharidosis type I (MPS I) newborn screening panel is used to report the results of newborn screening for the diagnosis of MPS I, also known as Hurler syndrome, an inherited disorder in which the body is unable to produce an enzyme that is involved in the breakdown of large sugar molecules called glycosaminoglycans (GAGs). MPS I is caused by mutations in the IDUA gene and has an autosomal recessive pattern of inheritance.

What does 79563-3 measure?

This code measures Mucopolysaccharidosis type I newborn screening panel in Bld.dot. It belongs to the PANEL.CHEM class in the LOINC classification.

What is LOINC?

LOINC (Logical Observation Identifiers Names and Codes) is a universal standard for identifying laboratory and clinical observations. It is maintained by the Regenstrief Institute and used worldwide for health data exchange.