AutoICD API

112480-9

Surveys

DePaul Questionnaire - Post-Exertional Malaise (DSQ-PEM) [DePaul Questionnaire - Post-Exertional Malaise]

Definition

The DePaul Symptom Questionnaire - Post-Exertional Malaise (DSQ-PEM) is a validated screening questionnaire designed to assess the frequency and severity of symptoms associated with post-exertional malaise (PEM). It evaluates exertion-induced worsening of symptoms such as fatigue, pain, cognitive impairments, and autonomic dysfunction. The questionnaire helps objectively diagnose PEM and distinguish it from other forms of fatigue. It is used in clinical practice and research to determine individual limits of exertion.

LOINC 6-Axis Classification

Component

DePaul Questionnaire - Post-Exertional Malaise (DSQ-PEM)

Property

-

Time Aspect

6Mo

System

^Patient

Scale Type

-

Method Type

DSQ-PEM

Details

Class

PANEL.SURVEY.NEURO

Order/Observation

Order

Related Names

AfterNEUROPanPanelPANEL.SURVEY.NEUROPanlPnlPSTSurveySURVEY.NEURO

Frequently Asked Questions

What is LOINC code 112480-9?

LOINC code 112480-9 identifies "DePaul Questionnaire - Post-Exertional Malaise (DSQ-PEM) [DePaul Questionnaire - Post-Exertional Malaise]". The DePaul Symptom Questionnaire - Post-Exertional Malaise (DSQ-PEM) is a validated screening questionnaire designed to assess the frequency and severity of symptoms associated with post-exertional malaise (PEM). It evaluates exertion-induced worsening of symptoms such as fatigue, pain, cognitive impairments, and autonomic dysfunction. The questionnaire helps objectively diagnose PEM and distinguish it from other forms of fatigue. It is used in clinical practice and research to determine individual limits of exertion.

What does 112480-9 measure?

This code measures DePaul Questionnaire - Post-Exertional Malaise (DSQ-PEM) in ^Patient. It belongs to the PANEL.SURVEY.NEURO 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.