ascvd_30y_prevent: PREVENT 30-year ASCVD risk score

In CVrisk: Compute Risk Scores for Cardiovascular Diseases

PREVENT 30-year ASCVD risk score

Description

Computes 30-year risk for ASCVD (atherosclerotic cardiovascular disease) using the American Heart Association PREVENT equations (2023).

Usage

ascvd_30y_prevent(
  gender = c("male", "female"),
  age,
  sbp,
  bp_med,
  totchol,
  hdl,
  statin,
  diabetes,
  smoker,
  egfr,
  bmi,
  hba1c = NULL,
  uacr = NULL,
  zip = NULL,
  model = "auto",
  ...
)

Arguments

gender	patient gender (male, female)
age	patient age (years), between 30 and 79
sbp	Systolic blood pressure (mm Hg)
bp_med	Patient is on a blood pressure medication (1=Yes, 0=No)
totchol	Total cholesterol (mg/dL)
hdl	HDL cholesterol (mg/dL)
statin	Patient is on a statin (1=Yes, 0=No)
diabetes	Diabetes (1=Yes, 0=No)
smoker	Current smoker (1=Yes, 0=No)
egfr	Estimated glomerular filtration rate (mL/min/1.73m2)
bmi	Body mass index (kg/m2)
hba1c	Glycated hemoglobin (HbA1c) in percent (optional)
uacr	Urine albumin-to-creatinine ratio in mg/g (optional)
zip	ZIP code for Social Deprivation Index (optional)
model	PREVENT model variant to use: "auto" (default, selects based on available data), "base", "hba1c", "uacr", "sdi", or "full"
...	Additional predictors can be passed and will be ignored

Value

30-year ASCVD risk estimate (percent)

References

Khan SS, Matsushita K, Sang Y, Ballew SH, Grams ME, Surapaneni A, Blaha MJ, Carson AP, Chang AR, Ciemins E, Go AS, Gutierrez OM, Hwang SJ, Jassal SK, Kovesdy CP, Lloyd-Jones DM, Shlipak MG, Palaniappan LP, Sperling L, Virani SS, Tuttle K, Neeland IJ, Chow SL, Rangaswami J, Pencina MJ, Ndumele CE, Coresh J; Chronic Kidney Disease Prognosis Consortium and the American Heart Association Cardiovascular-Kidney-Metabolic Science Advisory Group. Development and Validation of the American Heart Association's PREVENT Equations. Circulation. 2024 Feb 6;149(6):430-449.

Examples

library(CVrisk)
# Base model (default when model = "auto" and no optional predictors provided)
ascvd_30y_prevent(
  gender = "female", age = 50,
  sbp = 160, bp_med = 1,
  totchol = 200, hdl = 45,
  statin = 0, diabetes = 1, smoker = 0,
  egfr = 90, bmi = 35
)

# Explicitly specify base model
ascvd_30y_prevent(
  gender = "male", age = 45,
  sbp = 130, bp_med = 0,
  totchol = 200, hdl = 50,
  statin = 0, diabetes = 0, smoker = 1,
  egfr = 95, bmi = 28,
  model = "base"
)

# Auto model with UACR (will use uacr model variant)
ascvd_30y_prevent(
  gender = "male", age = 55,
  sbp = 140, bp_med = 0,
  totchol = 213, hdl = 50,
  statin = 0, diabetes = 0, smoker = 0,
  egfr = 90, bmi = 30,
  uacr = 25
)

CVrisk documentation built on Jan. 11, 2026, 1:06 a.m.