First-line assessment. The test incorporates a series of Scores that provide a comprehensive and immediate overview of global health status. By processing metabolic, vascular, and cellular data in an integrated manner, they offer an initial synthetic framework that allows evaluating the body's homeostasis, anticipating risks of multi-organ dysfunction, and estimating resilience and the potential for healthy longevity before delving into the details of each specific function. These Scores are:
- Cardio-Kidney-Metabolic (CKM) Score: Multi-organ predictive model that integrates the functional interaction between the vascular endothelium, renal filtration, and insulin sensitivity. This index allows staging the cardiovascular-kidney-metabolic syndrome and anticipating the risk of cross-talk multi-organ dysfunction.
- Health Score: Global metric that algorithmically weights the biological homeostasis. It serves as a synthetic indicator of systemic health by consolidating hematological, hepatic, renal, endocrine, and lipid biomarkers.
- Oxidative Stress Score: Assessment of cellular redox homeostasis. This marker allows identifying the imbalance between reactive oxygen species production and endogenous antioxidant capacity, alerting to oxidative stress states that accelerate tissue damage.
- Longevity Score: Assessment of metabolic and functional burden using the markers available in the basic profile. The algorithm integrates the hematological, cardiometabolic, hepatic and renal components that can be calculated from this blood test to provide an overall view of functional health.
Assessment of the hematopoietic system. Through the cross-analysis of the complete blood count, erythrocyte indices (MCV, MCH and RDW) and serum iron, the system allows identifying micro-, normo- or macrocytic anemia patterns, changes in red blood cell size and hemoglobin content, and patterns compatible with erythrocytosis. The Mentzer index provides guidance for the differential diagnosis of microcytosis.
Assessment of the innate and adaptive immune response. The differential white blood cell count breakdown acts as a biological indicator that offers clear evidence of active bacterial or viral infections, agranulocytosis, systemic allergic responses, hypereosinophilic syndromes of parasitic origin, or immunosuppressive states.
Ultra-specific study of platelets and their volumetric indices (MPV and PDW), whose findings allow for early identification of thrombocytopenia (bleeding risk), autoimmune destruction (ITP), or reactive or essential thrombocytosis.
Comprehensive cardiometabolic risk stratification. As a starting point, the algorithm combinatorially processes the anthropometric indices—primarily analyzing body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), alongside advanced parameters such as hypertriglyceridemic waist (HTGW), lipid accumulation product (LAP), body adiposity index (BAI), visceral adiposity index (VAI), and conicity index (CI)—with globally impactful predictive models, such as the Framingham Score. This first-line multiparametric assessment allows early inference of an underlying metabolic syndrome and establishes an accurate projection of global coronary risk in the short and long term.
Advanced characterization of atherosclerotic risk and vascular health. The test tracks the atherogenic particle burden by evaluating the available atherogenic indices: atherogenic coefficient (AC), atherogenic index of plasma (AIP), Castelli risk index I, Castelli index I integrating total bilirubin, Castelli risk index II, Castelli index II integrating total bilirubin, and triglycerides/HDL-c index (THI). All of these are processed by an algorithm that dynamically weights each index within this family to maximize diagnostic sensitivity. This approach facilitates the detection of familial dyslipidemias or silent lipid metabolism disorders.
Assessment of carbohydrate metabolism. Fasting glucose measurement allows identifying blood glucose abnormalities and provides guidance on patterns of hypoglycemia, hyperglycemia, prediabetes or diabetes.
Assessment of purine metabolism. Serum urate determination points toward asymptomatic hyperuricemia states, providing an estimate of predisposition to the development of gouty arthritis (gout), tophi, or uric acid nephropathy.
Evaluation of endocrine pancreatic function and insulin dynamics. Through the analysis of basal insulin and mathematical models (HOMA-IR, HOMA-B, HOMA-S, QUICKI), the analysis allows measuring peripheral sensitivity with ultra-specificity and revealing hyperinsulinism or insulin resistance states, a key alteration in metabolic syndrome and type 2 diabetes.
Assessment of hepatocellular function, biliary excretion and liver disease screening. The enzyme profile (ALP, AST, ALT, GGT and LDH), together with total bilirubin, allows identifying patterns of hepatocellular injury and altered bile flow, providing guidance on possible cholestasis or inflammatory or toxic liver conditions.
Non-invasive stratification of liver health. The system processes the scores and ratios available in this profile through a dynamic weighting algorithm that adjusts the weights of each index to optimize diagnostic sensitivity across three key stages:
- Fat accumulation (NAFLD/MASLD): Evaluates steatosis risk using the fatty liver index (FLI), hepatic steatosis index (HSI), K-NAFLD score and liver fat score (LFS).
- Steatohepatitis (NASH/MASH): Determines the degree of liver inflammation by processing the acNASH model, GHOLAM score, and HAIR score.
- Fibrosis and subclinical cirrhosis: Stages the risk of advanced tissue damage using the AST-to-platelet ratio index (APRI), BAAT score, BARD score, Forns fibrosis index (FFI) and FIB-4 index.
Biliary tree screening. A coordinated increase in alkaline phosphatase and GGT raises suspicion of cholestasis or choledocholithiasis.
Renal filtration and glomerular function. Creatinine, urea and blood urea nitrogen (BUN), together with age and sex, allow calculating estimated glomerular filtration rate (eGFR) and assessing renal clearance capacity. The BUN/creatinine ratio provides additional information on patterns of nitrogen burden and possible prerenal components.
