75508-2
LaboratoryaPTT.lupus sensitive W excess phospholipid actual/Normal (normalized LA confirm)
Definition
If the coagulation defect corrects with excess phospholipid, it confirms the likely presence of phospholipid antibodies and the LA syndrome. Platelets, bilayer and hexagonal phospholipids are variously used as the source of excess phospholipids and this term covers them all. The use of one term for these variations reduces mapping work for practices that import laboratory results, but laboratories that use hexagonal phospholipids and think it important to distinguish their source can use 75914-2 instead of this term.
LOINC 6-Axis Classification
Component
Coagulation actual/normal
Property
RelTime
Time Aspect
Pt
System
PPP
Scale Type
Qn
Method Type
Coag.surface induced.lupus sensitive with excess phospholipid
Details
Class
COAG
Order/Observation
Both
Short Name
Confirm aPTT/normal
Display Name
Coagulation actual/normal aPTT.lupus sensitive.excess phospholipid (PPP) [Relative time]
Related Names
Frequently Asked Questions
What is LOINC code 75508-2?
LOINC code 75508-2 identifies "aPTT.lupus sensitive W excess phospholipid actual/Normal (normalized LA confirm)". If the coagulation defect corrects with excess phospholipid, it confirms the likely presence of phospholipid antibodies and the LA syndrome. Platelets, bilayer and hexagonal phospholipids are variously used as the source of excess phospholipids and this term covers them all. The use of one term for these variations reduces mapping work for practices that import laboratory results, but laboratories that use hexagonal phospholipids and think it important to distinguish their source can use 75914-2 instead of this term.
What does 75508-2 measure?
This code measures Coagulation actual/normal in PPP. It belongs to the COAG 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.