99967-2
LaboratoryAtypical hemolytic uremic syndrome multigene analysis in Blood or Tissue by Molecular genetics method
Definition
Multigene testing for atypical hemolytic uremic syndrome (aHUS), a condition that can begin in the neonatal period to adulthood and consists of hemolytic anemia, thrombocytopenia, and renal failure caused by platelet thrombi in the kidney and other organs. Genes associated with genetic aHUS include C3, C5, CD46, CFB, CFH, CFHR1, CFHR2, CFHR3, CFHR4, CFHR5, CFI, DGKE, PLG, THBD, and MMACHC. Testing is performed for diagnostic, prognostic, and therapeutic assessment in patients with aHUS.[NCBI Books: NBK1367]
LOINC 6-Axis Classification
Component
Atypical hemolytic uremic syndrome multigene analysis
Property
Find
Time Aspect
Pt
System
Bld/Tiss
Scale Type
Doc
Method Type
Molgen
Details
Class
MOLPATH
Order/Observation
Both
Short Name
aHUS multigene analysis Bld/T
Display Name
Atypical hemolytic uremic syndrome multigene analysis Molgen Doc (Bld/Tiss)
Related Names
Frequently Asked Questions
What is LOINC code 99967-2?
LOINC code 99967-2 identifies "Atypical hemolytic uremic syndrome multigene analysis in Blood or Tissue by Molecular genetics method". Multigene testing for atypical hemolytic uremic syndrome (aHUS), a condition that can begin in the neonatal period to adulthood and consists of hemolytic anemia, thrombocytopenia, and renal failure caused by platelet thrombi in the kidney and other organs. Genes associated with genetic aHUS include C3, C5, CD46, CFB, CFH, CFHR1, CFHR2, CFHR3, CFHR4, CFHR5, CFI, DGKE, PLG, THBD, and MMACHC. Testing is performed for diagnostic, prognostic, and therapeutic assessment in patients with aHUS.[NCBI Books: NBK1367]
What does 99967-2 measure?
This code measures Atypical hemolytic uremic syndrome multigene analysis in Bld/Tiss. It belongs to the MOLPATH 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.