Computes the Kidney Failure Risk Equation probability at 2 or 5 years.
Usage
risk_pred_core(
age,
sex,
eGFR,
uACR,
is_north_american,
dm = NULL,
htn = NULL,
albumin = NULL,
phosphorous = NULL,
bicarbonate = NULL,
calcium = NULL,
years = 2
)Arguments
- age
Numeric age in years.
- sex
Integer sex indicator, 1 for male, 0 for female.
- eGFR
Estimated glomerular filtration rate, mL/min/1.73 \(\text{m}^{2}\).
- uACR
Urine albumin to creatinine ratio, mg/g.
- is_north_american
Logical, patient from a North American cohort.
- dm
Optional integer diabetes indicator, 1 yes, 0 no.
- htn
Optional integer hypertension indicator, 1 yes, 0 no.
- albumin
Optional serum albumin, g/dL, required for 8 variable model.
- phosphorous
Optional serum phosphorus, mg/dL, 8 variable model.
- bicarbonate
Optional serum bicarbonate, mmol/L, 8 variable model.
- calcium
Optional serum calcium, mg/dL, 8 variable model.
- years
Integer, prediction horizon, 2 or 5.
References
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. 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. doi:10.1001/jama.2015.18202