Required section · Section 5 of 6
Choose the estimate least likely to mislead
A second, unrelated patient comes through the same bench today: a 58-year-old with a below-knee amputation three years ago, stable chronic disease, no acute complaint, presenting for a high-stakes evaluation with local eligibility criteria. Serum creatinine returns lower than the clinician expects for this patient's history, and the auto-calculated eGFRcr comes back well into the normal range. The clinician has flagged this as a threshold-dependent decision: the applicable clinical setting may depend on an accurate GFR category; local criteria and guidance should be checked, and extremes of muscle mass as a recognized reason a creatinine-based estimate can be misleading. Muscle mass loss lowers creatinine generation without changing true GFR, which raises the calculated eGFR relative to actual filtration.
The learner decision is to choose the estimate least likely to mislead for this specific patient and to state the reasoning in plain language: not a memorized rule, but an explanation of which non-GFR factor is in play and why it points toward a specific next step. The reasoning to demonstrate is the same one built through the guided example: identify what creatinine's result depends on besides filtration, recognize that this patient's history plausibly breaks that dependency, and choose or justify the bounded laboratory action, cystatin C-based or combined estimation, or a measured GFR if the decision is high enough stakes, rather than accepting the single creatinine-based number as-is.
This is also where the ordering exercise below is useful: before reaching for a different equation, the practical sequence for handling a filtration-marker result that looks discordant with the clinical picture follows a defined order, from checking the specimen and standardization up through considering a measured GFR. Working that sequence out loud is part of the decision, not a separate step. A normal-looking eGFRcr in a patient with a known muscle-mass extreme is not reassurance by itself; it is a prompt to ask what the number would look like if a marker less dependent on muscle mass were used instead.
Ordering exercise
A creatinine-based eGFR looks inconsistent with the clinical picture for a threshold-dependent decision. Put the laboratory's practical response steps in an order that first establishes analytical identity and steady state before interpreting a threshold.
1. Add cystatin C and compare the estimates
Calculate eGFRcr-cys and check whether it is concordant or discordant with eGFRcr.
2. Check the specimen and result for interference
Confirm no hemolysis, lipemia, icterus, or short fill, and that the result is not a delta-check outlier against a prior value.
3. Consider a measured GFR for the highest-stakes decisions
For living-donor evaluation or other decisions where an estimate is not enough, use an exogenous filtration marker clearance such as iohexol or iothalamate.
4. Confirm the creatinine is standardized to the equation
Verify the assay is IDMS-traceable and that the correct equation version was applied by the LIS.
5. Review clinical context for non-GFR factors
Check for extremes of muscle mass, recent diet or cooked-meat meal, pregnancy, acute illness, or medications that block tubular secretion.
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