AutoICD API

98133-2

Clinical

Osteoporosis Index of Risk panel

Definition

The Osteoporosis Index of Risk (OSIRIS) is a simple questionnaire to identify osteoporosis risk and facilitate bone mineral density (BMD) testing. OSIRIS is based on four variables: age, body weight, current estrogen use, and history of previous low impact fracture. The score is calculated by -0.2*age plus(+) 0.2* weight in kg plus(+) current estrogen use plus(+) prior low impact fracture. Scores indicate categories of risk for osteoporosis including high risk (OSIRIS < or = -3), intermediate (OSIRIS ranged between -3 and +1), and low (OSIRIS > 1).[PMID: 12192897]

LOINC 6-Axis Classification

Component

Osteoporosis Index of Risk panel

Property

-

Time Aspect

Pt

System

^Patient

Scale Type

-

Method Type

Osteoporosis Index of Risk

Details

Class

PANEL.CLIN.RISK

Order/Observation

Order

Short Name

OSIRIS panel

Related Names

CLINCLIN.RISKOSIRISOSIRIS panelPanPANEL.CLINICALPanlPnlPoint in timeRandom

Frequently Asked Questions

What is LOINC code 98133-2?

LOINC code 98133-2 identifies "Osteoporosis Index of Risk panel". The Osteoporosis Index of Risk (OSIRIS) is a simple questionnaire to identify osteoporosis risk and facilitate bone mineral density (BMD) testing. OSIRIS is based on four variables: age, body weight, current estrogen use, and history of previous low impact fracture. The score is calculated by -0.2*age plus(+) 0.2* weight in kg plus(+) current estrogen use plus(+) prior low impact fracture. Scores indicate categories of risk for osteoporosis including high risk (OSIRIS < or = -3), intermediate (OSIRIS ranged between -3 and +1), and low (OSIRIS > 1).[PMID: 12192897]

What does 98133-2 measure?

This code measures Osteoporosis Index of Risk panel in ^Patient. It belongs to the PANEL.CLIN.RISK 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.