AutoICD API

89595-3

Laboratory

Legionella pneumophila Ag [Presence] in Tissue by Immunofluorescence

Definition

Immunofluorescence testing of lung biopsy specimens for Legionella pneumophila antigen has over 99% specificity, but only 25-70% of patients with culture-positive disease test positive for the antigen. Therefore, IF cannot be used to rule out Legionella infection, but a positive result is nearly always diagnostic. [http://www.who.int/water_sanitation_health/emerging/legionella.pdf]

LOINC 6-Axis Classification

Component

Legionella pneumophila Ag

Property

PrThr

Time Aspect

Pt

System

Tiss

Scale Type

Ord

Method Type

IF

Details

Class

MICRO

Order/Observation

Both

Short Name

L pneumo Ag Tiss Ql IF

Display Name

L. pneumophila Ag IF Ql (Tiss)

Related Names

ACIFAnticomplement ImmunofluorescenceAntigenAntigensDFAFAFluorescent antibodyFluoresentIDIFAImmune fluorescenceImmunoflourImmunofluorImmunofluorescenceInfectious DiseaseInfectiousDiseaseL pneumoL pneumonphilaLegionLegionelaMicrobiologyOrdinalPneupneumPneumophiliaPoint in timePRQLQualQualitativeRandomScreenTime Resolved FluorescenceTissueTissue, unspecifiedTRF

Frequently Asked Questions

What is LOINC code 89595-3?

LOINC code 89595-3 identifies "Legionella pneumophila Ag [Presence] in Tissue by Immunofluorescence". Immunofluorescence testing of lung biopsy specimens for Legionella pneumophila antigen has over 99% specificity, but only 25-70% of patients with culture-positive disease test positive for the antigen. Therefore, IF cannot be used to rule out Legionella infection, but a positive result is nearly always diagnostic. [http://www.who.int/water_sanitation_health/emerging/legionella.pdf]

What does 89595-3 measure?

This code measures Legionella pneumophila Ag in Tiss. It belongs to the MICRO 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.