How Clariti's Blood Test Health Score Works
Clariti scores each blood test biomarker on a 0–100 scale using research-based optimal ranges — not just lab reference ranges. This guide explains the methodology behind the score, why it differs from your lab report, and what each scoring band means.
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Get My Score →Why Lab Reference Ranges Are Not Health Scores
Standard lab reference ranges answer one question: is this value within the central 95% of the tested population? They were designed for clinical disease detection — not health optimisation. They do not reflect research-based optimal levels, do not distinguish between different levels of "in range" (is 95 mg/dL fasting glucose better or worse than 80 mg/dL?), and do not account for how multiple values interact to form a health picture. Clariti's scoring system is built to answer a different question: how healthy is this result relative to evidence-based optimal targets?
From Raw Numbers to a Score You Can Actually Use
A blood test health score maps raw lab values onto a meaningful scale — typically A (optimal) through F (deficient) — so you can see at a glance which health domains are strong and which need attention. Clariti scores six domains: cardiovascular, metabolic, kidney, liver, blood, and inflammatory health. Each domain aggregates multiple related biomarkers into a single grade.
The Clariti Scoring Methodology
| Score Range | What It Means |
|---|---|
| 90–100 | Optimal — within the research-backed ideal range for this biomarker. Associated with lowest disease risk and best long-term outcomes in prospective studies. |
| 70–89 | Good — within the normal reference range and approaching optimal. Minor improvement possible but no clinical concern. |
| 50–69 | Fair — within normal range but at a suboptimal level. Worth monitoring and potentially improving through lifestyle changes. |
| 30–49 | Borderline — at or approaching the outer edge of the normal reference range, or in the range associated with increased risk in epidemiological studies. |
| Below 30 | Out of range — flagged as abnormal on your lab report. Requires clinical assessment. |
How Clariti Sets Optimal Ranges
Optimal ranges for each biomarker are derived from: (1) large prospective cohort studies identifying the values associated with lowest mortality or disease incidence; (2) clinical trial data showing benefit from intervention at specific target levels; (3) guidelines from major medical societies (AHA, ADA, European ESC); and (4) longevity and preventive medicine literature. For example, the optimal fasting glucose range (below 85 mg/dL) is set based on studies showing lowest all-cause mortality in this range — more conservative than the clinical diabetes diagnostic threshold but reflecting the non-linear risk curve in prospective data.
What Each Domain Covers in Clariti's Scoring
Your Overall Health Score
Clariti's overall health score combines individual biomarker scores into a weighted aggregate, with greater weight given to markers with higher predictive value for long-term outcomes (e.g. fasting insulin, ApoB, hs-CRP carry higher weights than, say, total protein). The score is designed not as a medical diagnosis, but as a motivational tool — showing clearly which areas have the most room for improvement and tracking whether interventions (dietary changes, supplements, medications) are producing measurable improvements over time. Uploading annual results creates a longitudinal health trend that no single doctor's appointment can replicate.
Medical Disclaimer
This article is for educational purposes only and does not constitute medical advice. Reference ranges, supplement dosages, and nutritional information mentioned are general educational guidance from published research—not personalised recommendations. Do not use this content to self-diagnose or self-treat any condition. Always consult a qualified healthcare provider before making any changes to your health regimen, medications, or supplements.
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