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(2018) para cálculo de idade biológica a partir de 9 biomarcadores sanguíneos.\n\n```ts\nimport { phenoage } from '@precisa-saude/fhir-calculators';\n\nconst result = phenoage.calculatePhenoAge({\n  chronologicalAge: 45,\n  albumin: 42, // g/L\n  creatinine: 80, // μmol/L\n  glucose: 5.2, // mmol/L\n  crp: 1.5, // mg/L (PCR ultrassensível — convertida para mg/dL internamente)\n  lymphocytePercent: 30,\n  mcv: 88, // fL\n  rdw: 13.2, // %\n  alkalinePhosphatase: 65, // U/L\n  wbc: 6.0, // 10^9/L\n});\n\nconsole.log(result.phenoAge); // 39.5 (idade biológica)\nconsole.log(result.ageDifference); // -5.5 (anos mais jovem)\n```\n\n> **Unidade da PCR:** o modelo de Levine foi ajustado sobre dados do NHANES IV,\n> onde a PCR é medida em **mg/dL**. O campo `crp` desta API permanece em\n> **mg/L** — a unidade reportada pelos laboratórios brasileiros (PCR\n> ultrassensível) — e o cálculo converte mg/L → mg/dL antes do termo\n> `0.0954·ln(PCR)`. Não pré-converta a PCR para mg/dL ao chamar a função.\n\n### BrDMrisc — Risco de diabetes tipo 2\n\nImplementação do modelo BrDMrisc (Bracco et al. 2023) para estimativa de risco de diabetes tipo 2 em 10 anos, validado para a população brasileira. Seleciona automaticamente o melhor modelo disponível com base nos biomarcadores presentes.\n\n```ts\nimport { brdmrisc } from '@precisa-saude/fhir-calculators';\n\nconst result = brdmrisc.calculateBrDMrisc({\n  fpg: 105, // mg/dL — glicemia de jejum\n  hba1c: 5.8, // %\n  triglycerides: 180, // mg/dL\n  hdlc: 42, // mg/dL\n});\n\nconsole.log(result.riskPercent); // 18.5 (% risco em 10 anos)\nconsole.log(result.riskCategory); // 'moderate'\nconsole.log(result.modelUsed.name); // 'FPG + HbA1c + Lipids'\n```\n\n### Biomarcadores derivados\n\nCalcula biomarcadores derivados a partir de valores laboratoriais existentes.\n\n```ts\nimport { computeDerivedBiomarkers } from '@precisa-saude/fhir-calculators';\n\nconst derived = computeDerivedBiomarkers([\n  { code: 'Glucose', value: 95 },\n  { code: 'Insulin', value: 12.0 },\n  { code: 'Triglycerides', value: 150 },\n]);\n\n// Retorna: HOMA-IR = (95 × 12) / 405, VLDL = 150 / 5\nderived.forEach((d) => console.log(`${d.code}: ${d.value} ${d.unit}`));\n```\n\n## Referências acadêmicas\n\n| Calculadora | Referência                                                                            |\n| ----------- | ------------------------------------------------------------------------------------- |\n| PhenoAge    | Levine ME et al. (2018). An epigenetic biomarker of aging. _Aging_ 10(4):573-591      |\n| BrDMrisc    | Bracco PA et al. (2023). BrDMrisc model for type 2 diabetes risk in Brazilians        |\n| HOMA-IR     | Matthews DR et al. (1985). Homeostasis model assessment. _Diabetologia_ 28(7):412-419 |\n| VLDL        | Friedewald WT et al. (1972). Estimation of LDL cholesterol. _Clin Chem_ 18(6):499-502 |\n\n## Aviso médico\n\nEste pacote implementa algoritmos clínicos publicados para fins de software. Os resultados **não constituem diagnóstico médico** e não substituem avaliação profissional. Consulte o [DISCLAIMER.md](../../DISCLAIMER.md) na raiz do repositório para detalhes completos.\n\n## Licença\n\n[Apache-2.0](../../LICENSE)\n","readmeFilename":"README.md"}