| compute_CVrisk | R Documentation |
Compute multiple CV risk scores
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
)
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 |
input data frame with risk score results appended as columns
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" )