Metabolic Health
Hemochromatosis Labs: Ferritin, TSAT, and the Testing Algorithm
AASLD-style path: TSAT ≥45% and/or high ferritin → HFE genotyping. Ferritin >1000 µg/L flags fibrosis risk; phlebotomy targets 50–100.
Screen with TSAT + ferritin. TSAT ≥45% is the AASLD-aligned sensitive gate toward HFE genotyping. In C282Y disease, ferritin >1000 µg/L raises cirrhosis concern; phlebotomy typically targets 50–100 µg/L. Ferritin alone misleads in inflammation.
Iron overload is a lab algorithm problem before it is a supplement problem. This page compresses AASLD/EASL-style gates into plain language for informed clinical conversations.
This article is informational and editorial only. It is not medical advice, diagnosis, or a treatment plan. Numbers and literature ranges cited here are not personal prescriptions. Consult a qualified clinician before changing medications, supplements, diet, equipment, or management of a diagnosed condition. Seek urgent care for emergencies.
What is the first-line iron panel algorithm?
When hereditary hemochromatosis (HH) is in the differential—symptoms, family history, or unexplained iron clues—order transferrin saturation (TSAT) and ferritin together. AASLD recommendation patterns: if TSAT is ≥45% or ferritin exceeds the upper limit of normal, proceed to HFE mutation analysis. The 45% TSAT cutoff identifies roughly 97.9–100% of C282Y homozygotes in guideline-cited performance. AAFP teaching notes normal ferritin plus TSAT <45% yields negative predictive value near 97% for excluding overload.
Primary source: AASLD 2011 hemochromatosis guideline (PMC); European updates in EASL 2022.
| Node | Typical figure | Action implication |
|---|---|---|
| TSAT gate | ≥45% | Consider HFE genotyping (with clinical context) |
| HEIRS-elevated ferritin | >300 µg/L men; >200 women | Elevated store marker (lab ULNs vary) |
| Fibrosis-risk ferritin | >1000 µg/L in C282Y HH | Stage liver disease risk aggressively |
| Sub-1000 reassurance | <1000 µg/L without other risks | Advanced fibrosis unlikely in cited series |
| Phlebotomy target | 50–100 µg/L ferritin | Induction endpoint band (not zero) |
How should ferritin be interpreted beyond the HH pathway?
Ferritin is an acute-phase reactant. Infection, inflammatory disease, fatty liver, alcohol, and malignancy can elevate ferritin without HFE overload. That is why high ferritin with low or normal TSAT points away from classic HH and toward secondary hyperferritinemia workups. Example lab bands in AASLD tables show wide HH ranges (ferritin often hundreds to >1000) versus lower reference intervals that are lab-specific.
In confirmed C282Y disease, ferritin <1000 µg/L accurately predicts absence of cirrhosis in multiple series; >1000 associates with ~20–45% cirrhosis prevalence, higher when ALT/AST are up and platelets are low.
How do TSAT and ferritin behave during treatment?
During therapeutic phlebotomy, ferritin falls as stores mobilize; TSAT often remains high until depletion. Use ferritin (with hemoglobin/hematocrit safety checks) to guide induction—not TSAT alone as the stopping rule. Check ferritin about every 10–12 phlebotomies (~3 months) in classic protocols. Do not chase ferritin to frank deficiency.
What anti-patterns should patients and clinicians avoid?
- Ordering HFE on everyone with fatigue and no iron studies.
- Phlebotomizing metabolic hyperferritinemia without overload evidence.
- Ignoring alcohol when ferritin exceeds 1000.
- Treating a single non-reproduced mild TSAT bump as destiny.
- Self-directed aggressive blood removal without monitoring.
What should careful readers do with this evidence?
Use primary sources linked in this article before changing household systems, training plans, or clinical conversations. Prefer measurements—lab panels, water tests, training logs, or certified product listings—over marketing claims. When evidence is observational, say so out loud: associations can guide research priorities and low-regret habits without becoming promises of disease prevention. When guidance bodies publish cutoffs or MCLs, treat them as the public reference layer and verify whether your situation is inside that legal or clinical scope. Re-check living agency pages because regulations and practice guidelines update. If two reputable sources disagree, dual-source the claim and prefer the document that states methods, units, and populations clearly. Finally, keep sex, age, pregnancy, and comorbidity modifiers in view whenever the underlying literature is limited to one demographic group.
Health Canon’s editorial standard ranks large controlled trials and codified regulations above single cohorts; cohorts above mechanism speculation; marketing last. The goal of densifying this topic cluster is enough depth that a reader can act without outsourcing judgment to a headline. If you only remember one habit from this page, make it the habit of asking for units, sample, and maintenance or adherence conditions before trusting a number.
What should careful readers do with this evidence?
Use primary sources linked in this article before changing household systems, training plans, or clinical conversations. Prefer measurements—lab panels, water tests, training logs, or certified product listings—over marketing claims. When evidence is observational, say so out loud: associations can guide research priorities and low-regret habits without becoming promises of disease prevention. When guidance bodies publish cutoffs or MCLs, treat them as the public reference layer and verify whether your situation is inside that legal or clinical scope. Re-check living agency pages because regulations and practice guidelines update. If two reputable sources disagree, dual-source the claim and prefer the document that states methods, units, and populations clearly. Finally, keep sex, age, pregnancy, and comorbidity modifiers in view whenever the underlying literature is limited to one demographic group.
Health Canon’s editorial standard ranks large controlled trials and codified regulations above single cohorts; cohorts above mechanism speculation; marketing last. The goal of densifying this topic cluster is enough depth that a reader can act without outsourcing judgment to a headline. If you only remember one habit from this page, make it the habit of asking for units, sample, and maintenance or adherence conditions before trusting a number.
Sources & citations
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