AutoICD API

94187-2

Laboratory

Platelet aggregation [Interpretation] in Platelet rich plasma

Definition

Abnormal platelet aggregation results typically are due to a medication effect (eg, aspirin or nonsteroidal anti-inflammatory drug use) and less commonly reflect an acquired or congenital platelet disorder. If present, acquired conditions include dysproteinemias, myeloproliferative diseases, and renal failure. Congenital conditions include Glanzmann thrombasthenia, Bernard-Soulier syndrome, Hermansky-Pudlak syndrome, storage pool disease, and Wiskott-Aldrich syndrome.

LOINC 6-Axis Classification

Component

Platelet aggregation

Property

Imp

Time Aspect

Pt

System

PRP

Scale Type

Nom

Method Type

N/A

Details

Class

COAG

Order/Observation

Observation

Short Name

PA PRP-Imp

Display Name

Platelet aggregation (PRP) [Interp]

Related Names

AggAggrCOAGULATIONHematologyHemeImpressionImpression/interpretation of studyImpressionsInterpInterpretationNominalPAPlPlatelet rich plasmaPlateletsPlateltPltPoint in timeRandomThrombocyteThrombocytes

Frequently Asked Questions

What is LOINC code 94187-2?

LOINC code 94187-2 identifies "Platelet aggregation [Interpretation] in Platelet rich plasma". Abnormal platelet aggregation results typically are due to a medication effect (eg, aspirin or nonsteroidal anti-inflammatory drug use) and less commonly reflect an acquired or congenital platelet disorder. If present, acquired conditions include dysproteinemias, myeloproliferative diseases, and renal failure. Congenital conditions include Glanzmann thrombasthenia, Bernard-Soulier syndrome, Hermansky-Pudlak syndrome, storage pool disease, and Wiskott-Aldrich syndrome.

What does 94187-2 measure?

This code measures Platelet aggregation in PRP. 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.