AutoICD API

90901-0

Laboratory

HIV 1 RNA reverse transcriptase and protease and integrase gene [Nucleotide sequence] in Serum, Plasma or Blood by Sequencing

Definition

This term is used to report the nucleotide sequence of the HIV-1 reverse transcriptase, protease, and integrase genes based on viral RNA. The specific regions that are sequenced and reporting format may vary by laboratory and local reporting requirements.

LOINC 6-Axis Classification

Component

HIV 1 RNA reverse transcriptase & protease & integrase gene

Property

Seq

Time Aspect

Pt

System

Ser/Plas/Bld

Scale Type

Nom

Method Type

Sequencing

Details

Class

MICRO

Order/Observation

Both

Short Name

HIV 1 RNA RT + PR + IN SerPlBld-Seq

Display Name

HIV 1 RNA reverse transcriptase and protease and integrase gene sequence Nom (S/P/Bld)

Related Names

AIDSBloodhigh-throughput sequencingHIV 1 RNA RT + PR + INHIV type 1HIV type IHIV1HTSHuman immunodeficiency virusiIDInfectious DiseaseInfectiousDiseaseMicrobiologyNext generation sequencingNGSNominalPlPlasBldPlasmaPlsmPoint in timePRRandomREVRibonucleic acidRTSerPSerPlSerPlasSerPlBldSerumSerum or plasmaSerum, plasma or whole bloodSRWBWhole blood

Frequently Asked Questions

What is LOINC code 90901-0?

LOINC code 90901-0 identifies "HIV 1 RNA reverse transcriptase and protease and integrase gene [Nucleotide sequence] in Serum, Plasma or Blood by Sequencing". This term is used to report the nucleotide sequence of the HIV-1 reverse transcriptase, protease, and integrase genes based on viral RNA. The specific regions that are sequenced and reporting format may vary by laboratory and local reporting requirements.

What does 90901-0 measure?

This code measures HIV 1 RNA reverse transcriptase & protease & integrase gene in Ser/Plas/Bld. 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.