AutoICD API

94707-7

Laboratory

Dementia autoimmune Ab panel - Cerebral spinal fluid

Definition

Detection of multiple autoantibodies in spinal fluid (CSF) for the diagnosis of an autoimmune-related dementia. Testing is performed to investigate new onset of dementia and cognitive impairment along with additional symptoms, such as rapid onset and progression, fluctuating course, psychiatric features (psychosis, hallucinations), movement disorders (myoclonus, tremor, dyskinesias), headaches, cancer or smoking history, or neuroimaging findings atypical for degenerative etiology.

LOINC 6-Axis Classification

Component

Dementia autoimmune Ab panel

Property

-

Time Aspect

Pt

System

CSF

Scale Type

-

Method Type

N/A

Details

Class

PANEL.SERO

Order/Observation

Order

Short Name

Dementia autoimmune Ab pnl CSF

Display Name

Dementia autoimmune Ab panel (CSF)

Related Names

Cerebral spinal fluidCerebrospinal FlDementia autoimmune Ab pnlNeuroNeurologyPanPANEL.SEROLOGYPanlPnlPoint in timeRandomSerologySpinal FlSpinal FldSpinal FluSpinal Fluid

Frequently Asked Questions

What is LOINC code 94707-7?

LOINC code 94707-7 identifies "Dementia autoimmune Ab panel - Cerebral spinal fluid". Detection of multiple autoantibodies in spinal fluid (CSF) for the diagnosis of an autoimmune-related dementia. Testing is performed to investigate new onset of dementia and cognitive impairment along with additional symptoms, such as rapid onset and progression, fluctuating course, psychiatric features (psychosis, hallucinations), movement disorders (myoclonus, tremor, dyskinesias), headaches, cancer or smoking history, or neuroimaging findings atypical for degenerative etiology.

What does 94707-7 measure?

This code measures Dementia autoimmune Ab panel in CSF. It belongs to the PANEL.SERO 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.