Calc Prevent

Last 30 days

Uptime

100%

Response time

162 ms typical, 241 ms slowest 5%

Last check

3 h ago

Next check

any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X GET "https://api.magentlab.com/api/calc/prevent?age=50&antihypertensive=true&bmi_kg_m2=35&diabetes=false&egfr_ml_min_1_73m2=90&hdl_mg_dl=55&sbp_mm_hg=160&sex=female&smoker=false&statin=false&total_cholesterol_mg_dl=240"

import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fapi.magentlab.com%2Fapi%2Fcalc%2Fprevent
const res = await pay("https://api.magentlab.com/api/calc/prevent?age=50&antihypertensive=true&bmi_kg_m2=35&diabetes=false&egfr_ml_min_1_73m2=90&hdl_mg_dl=55&sbp_mm_hg=160&sex=female&smoker=false&statin=false&total_cholesterol_mg_dl=240");
console.log(await res.json());

Example input

{
  "age": 50,
  "antihypertensive": true,
  "bmi_kg_m2": 35,
  "diabetes": false,
  "egfr_ml_min_1_73m2": 90,
  "hdl_mg_dl": 55,
  "sbp_mm_hg": 160,
  "sex": "female",
  "smoker": false,
  "statin": false,
  "total_cholesterol_mg_dl": 240
}

Example output

{
  "age": 50,
  "antihypertensive": true,
  "bmi_kg_m2": 35,
  "citation": {
    "authors": "Khan SS, Matsushita K, Sang Y, Ballew SH, Grams ME, Surapaneni A, et al.; Chronic Kidney Disease Prognosis Consortium and the AHA Cardiovascular-Kidney-Metabolic Science Advisory Group",
    "doi": "10.1161/CIRCULATIONAHA.123.067626",
    "id": "khan-2024-prevent",
    "pmid": "37947085",
    "source": "Circulation. 2024;149(6):430-449",
    "title": "Development and Validation of the American Heart Association’s PREVENT Equations"
  },
  "diabetes": false,
  "disclaimer": "Not a medical device. Deterministic published-formula or published-code output for autonomous agents. A licensed clinician remains responsible for patient care and billing submissions.",
  "egfr_ml_min_1_73m2": 90,
  "formula": "prevent",
  "formula_expression": "10-year total CVD % = 100*exp(lp)/(1+exp(lp)); Khan 2024 Supplement Table S12 base 10-year total CVD (ASCVD+HF) only; sex-specific race-free; age 30-79; cage=(age-55)/10; mg/dL*0.02586 to mmol/L; cnhdl=(TC-HDL)*0.02586-3.5; chdl=(HDL*0.02586-1.3)/0.3; sbp_lt110=(min(SBP,110)-110)/20; sbp_ge110=(max(SBP,110)-130)/20; egfr_lt60=(min(eGFR,60)-60)/-15; egfr_ge60=(max(eGFR,60)-90)/-15; BMI spline printed at 30 with S12 total-CVD betas 0; women lp=-3.307728+0.7939329*cage+0.0305239*cnhdl-0.1606857*chdl-0.2394003*sbp_lt110+0.3600781*sbp_ge110+0.8667604*dm+0.5360739*smoke+0.6045917*egfr_lt60+0.0433769*egfr_ge60+0.3151672*antihtn-0.1477655*statin-0.0663612*sbp_ge110*antihtn+0.1197879*cnhdl*statin-0.0819715*cage*cnhdl+0.0306769*cage*chdl-0.0946348*cage*sbp_ge110-0.27057*cage*dm-0.078715*cage*smoke-0.1637806*cage*egfr_lt60; men lp=-3.031168+0.7688528*cage+0.0736174*cnhdl-0.0954431*chdl-0.4347345*sbp_lt110+0.3362658*sbp_ge110+0.7692857*dm+0.4386871*smoke+0.5378979*egfr_lt60+0.0164827*egfr_ge60+0.288879*antihtn-0.1337349*statin-0.0475924*sbp_ge110*antihtn+0.150273*cnhdl*statin-0.0517874*cage*cnhdl+0.0191169*cage*chdl-0.1049477*cage*sbp_ge110-0.2251948*cage*dm-0.0895067*cage*smoke-0.1543702*cage*egfr_lt60; not 30-year; not ASCVD-only; not HF-only; not HbA1c/UACR/SDI add-ons; not 2013 PCE; not SCORE2",
  "hdl_mg_dl": 55,
  "linear_predictor": -2.8579,
  "sbp_mm_hg": 160,
  "sex": "female",
  "smoker": false,
  "statin": false,
  "ten_year_cvd_percent": 5.4,
  "total_cholesterol_mg_dl": 240
}

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