LOINC Code 75022-4: Fat.microscopic observation Oil red O stain Ql (Urine sed)
75022-4 is a LOINC code used to identify Fat.microscopic observation Oil red O stain Ql (Urine sed) in laboratory and clinical observation data. You may see this code in lab systems, lab reports, EHR exports, interoperability feeds, or other structured clinical data exchanges. LOINC codes identify tests, measurements, observations, survey items, and clinical questions in a standardized way. It is associated with the component Fat.Microscopic Observation. It is commonly used with the system or sample type Urine sed.
What is this code?
LOINC codes identify tests, measurements, observations, survey items, and clinical questions in a standardized way. It is associated with the component Fat.Microscopic Observation. It is commonly used with the system or sample type Urine sed.
When is it used?
- Used in lab systems, EHRs, and clinical data exchange.
- May identify a test, observation, survey item, or clinical document request rather than a diagnosis.
- Status: ACTIVE
- Order vs observation: Observation
- Method: Oil red O stain
What it does not mean
- The code identifies the observation or test, not the actual result.
Key facts
- Fat.microscopic observation [Presence] in Urine sediment by Oil red O stain
- Fat.Microscopic Observation
- Fat globules are colorless, round, highly refractile and vary in size from 2 to 20 microns. They are an infrequent finding and always abnormal, occurring in the same tubular diseases as fatty casts. They occur singly and in small groups, appearing dark on low power and clear on high power. They may be accompanied by fatty casts or oval fat bodies. Neutral fats will stain with Sudan Black or Oil Red O.
- Kidney; Nephrology; Ordinal; ORO Stn; Point in time; PR; QL; Qual; Qualitative; Random; Renal; Screen; St; Stains; Stn; UA; UR; URINALYSIS; Urine sediment; Urn; UrnS
Where you may see this code
You may see this code in lab systems, lab reports, EHR exports, interoperability feeds, or other structured clinical data exchanges.
Common synonyms
Frequently asked questions
About this content
This page is prepared by HealthAssure's clinical team using official coding standards from LOINC. AI tools assist with drafting explanations, which are then reviewed and verified by healthcare professionals for accuracy. This content is for informational purposes and does not replace professional medical advice. Meet our team.