compute_CVrisk: Compute multiple CV risk scores

In CVrisk: Compute Risk Scores for Cardiovascular Diseases

Compute multiple CV risk scores

Description

Compute multiple CV risk scores

Usage

compute_CVrisk(
  df,
  scores = c("ascvd_10y_accaha", "ascvd_10y_frs", "ascvd_10y_frs_simple", "chd_10y_mesa",
    "chd_10y_mesa_cac"),
  age,
  gender,
  race,
  sbp = NULL,
  bmi = NULL,
  hdl = NULL,
  totchol = NULL,
  bp_med = NULL,
  smoker = NULL,
  diabetes = NULL,
  lipid_med = NULL,
  fh_heartattack = NULL,
  cac = NULL
)

Arguments

df	input dataframe
scores	scores to compute, default is all scores
age	patient age in years (required for all scores)
gender	patient gender (male or female)
race	character string for patient race (white, aa, other) column
sbp	character string of systolic blood pressure (in mm Hg) column
bmi	character string of Body mass index (kg/m2) column
hdl	character string of HDL column
totchol	character string of total cholesterol column
bp_med	character string of blood pressure medication column
smoker	character string of smoking status column
diabetes	character string of diabetes status column
lipid_med	character string of lipid medication column
fh_heartattack	character string of fh of heart attack status column
cac	character string of cac column

Value

input data frame with risk score results appended as columns

Examples

library(CVrisk)
compute_CVrisk(sample_data,
  age = "age", race = "race", gender = "gender", bmi = "BMI", sbp = "sbp",
  hdl = "hdl", totchol = "totchol", bp_med = "bp_med", smoker = "smoker",
  diabetes = "diabetes", lipid_med = "lipid_med",
  fh_heartattack = "fh_heartattack", cac = "cac"
)

CVrisk documentation built on Aug. 20, 2023, 1:06 a.m.