add_kfre_risk_col | R Documentation |
Adds KFRE risk columns for selected model sizes and horizons using the 4, 6, or 8 variable equations.
add_kfre_risk_col(
df,
age_col = NULL,
sex_col = NULL,
eGFR_col = NULL,
uACR_col = NULL,
dm_col = NULL,
htn_col = NULL,
albumin_col = NULL,
phosphorous_col = NULL,
bicarbonate_col = NULL,
calcium_col = NULL,
num_vars = 8,
years = c(2, 5),
is_north_american = FALSE,
copy = TRUE,
precision = NULL
)
df |
Data frame with predictor columns. |
age_col |
Column name for age. |
sex_col |
Column name for sex, text or integer accepted. |
eGFR_col |
Column name for eGFR, mL/min/1.73 m^2. |
uACR_col |
Column name for uACR, mg/g. |
dm_col |
Optional column name for diabetes indicator. |
htn_col |
Optional column name for hypertension indicator. |
albumin_col |
Optional column name for serum albumin, g/dL. |
phosphorous_col |
Optional column name for serum phosphorus, mg/dL. |
bicarbonate_col |
Optional column name for bicarbonate, mmol/L. |
calcium_col |
Optional column name for calcium, mg/dL. |
num_vars |
Integer or vector, one of 4, 6, 8. |
years |
Integer or vector, any of 2, 5. |
is_north_american |
Logical, use North American calibration. |
copy |
Logical, if TRUE work on a copy of |
precision |
Optional integer, digits to round probabilities. |
The input data frame with added kfre_<n>var_<y>year
columns.
Tangri, N., Stevens, L. A., Griffith, J., Tighiouart, H., Djurdjev, O., Naimark, D., Levin, A., & Levey, A. S. (2011). A predictive model for progression of chronic kidney disease to kidney failure. JAMA, 305(15), 1553–1559. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1001/jama.2011.451")}
Tangri, N., Grams, M. E., Levey, A. S., et al. (2016). Multinational assessment of the accuracy of the Kidney Failure Risk Equation in people with chronic kidney disease. JAMA, 315(2), 164–174. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1001/jama.2015.18202")}
df <- data.frame(
age = 60L, sex = 1L, eGFR = 30, uACR = 500,
dm = 1L, htn = 0L, albumin = 40,
phosphorous = 1.1, bicarbonate = 24, calcium = 9.2
)
add_kfre_risk_col(
df,
age_col = "age", sex_col = "sex",
eGFR_col = "eGFR", uACR_col = "uACR",
num_vars = 4, years = 2
)
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