AutoICD API

72892-3

Laboratory

MRSA SCCmec and mecA genes panel - Nose by NAA with probe detection

Definition

Used for rapid detection of Staphylococcus aureus and methicillin resistant Staphylococcus aureus (MRSA) from nasal swabs to aid in preventions and control of MRSA infections.

LOINC 6-Axis Classification

Component

Staphylococcus aureus methicillin resistance SCCmec & mecA genes panel

Property

-

Time Aspect

Pt

System

Nose

Scale Type

-

Method Type

Probe.amp.tar

Details

Class

PANEL.ABXBACT

Order/Observation

Order

Short Name

SCCmec + mecA pnl Nose NAA+probe

Display Name

MRSA SCCmec and mecA genes panel NAA+probe (Nose)

Related Names

3 Self-Sustaining Sequence Replication3SR SRAmplifAmplificationAmplifiedANTIBIOTIC SUSCEPTIBILITIESCelbeninDimethoxypenicillinDNA NUCLEIC ACID PROBEDNA probeLATLCRLigase chain reactionLigation-activated transcriptionMetacillinMetinNAA+probeNAATNasalNASBANosNose (nasal passage)Nucleic acid sequence based analysiso71PanPANEL.ANTIBIOTIC SUSCEPTIBILITIESPanlPCRPnlPoint in timePolymerase chain reactionProbe ampProbe with ampificationProbe with target amplificationQBRRandomResistResistancResistantResistentS aureusSCCmec + mecA pnlSDASmellStaficynStaphStaphicillinStaphylococcus cassette chromosome (SCCmec)Strand Displacement AmplificationTMATranscription mediated amplification

Frequently Asked Questions

What is LOINC code 72892-3?

LOINC code 72892-3 identifies "MRSA SCCmec and mecA genes panel - Nose by NAA with probe detection". Used for rapid detection of Staphylococcus aureus and methicillin resistant Staphylococcus aureus (MRSA) from nasal swabs to aid in preventions and control of MRSA infections.

What does 72892-3 measure?

This code measures Staphylococcus aureus methicillin resistance SCCmec & mecA genes panel in Nose. It belongs to the PANEL.ABXBACT 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.