calculate_iga_risk_postbiopsy: International IgAN Prediction Tool post-biopsy

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International IgAN Prediction Tool post-biopsy

Description

Post-Biopsy Risk estimator for Kidney outcomes in patients with IgA Nephropathy, using the Oxford IgaN MEST Histology Score, estimated at a time-point 1 year after biopsy using the formulas in the manuscript by Barbour et al, Kidney International 2022. The calculations have been validated against an available online calculator at Calculate by QxMD. Note if Race does not fit into the categories of "Chinese", "Japanese", or "Caucasian" then it is recommended to use the race-free equation.

'calculate_iga_risk_postbiopsy()' is the full Race-based model 'calculate_iga_risk_postbiopsy_norace()' Provides an estimate when race is not known or if race is not well matched by Caucasian, Chinese, or Japanese race/ethnicity

Usage

calculate_iga_risk_postbiopsy(
  egfr,
  sbp,
  dbp,
  proteinuria,
  age,
  mest_M,
  mest_E,
  mest_S,
  mest_T,
  time = 60,
  immunosuppression = FALSE,
  RASB = TRUE,
  race = "Caucasian",
  explanation = FALSE
)

calculate_iga_risk_postbiopsy_norace(
  egfr,
  sbp,
  dbp,
  proteinuria,
  age,
  mest_M,
  mest_E,
  mest_S,
  mest_T,
  time = 60,
  immunosuppression = FALSE,
  RASB = TRUE,
  explanation = FALSE
)

Arguments

egfr	estimated GFR (ml/min/1.73m2)
sbp	Systolic BP (mmHg)
dbp	Diastolic BP (mmHg)
proteinuria	Proteinuria (g/day)
age	Age (years)
mest_M	MEST score, Mesangial (M) hypercellularity (0,1)
mest_E	MEST score, Endocapillary (E) hypercellularity (0,1)
mest_S	MEST score, Segmental Sclerosis (0,1)
mest_T	MEST score, interstitial fibrosis/tubular atrophy (0,1,2)
time	Time frame for Risk estimate (months; defaults to 5 years = 60 months)
immunosuppression	Immunosuppression use (TRUE/FALSE)
RASB	Renin-angiotensin-aldosterone system blockade use (TRUE/FALSE)
race	Race as '"Chinese", "Japanese", "Caucasian", or "Other"'
explanation	Whether to output results as text description (TRUE/FALSE; defaults to FALSE)

Value

a single value of risk estimate for kidney outcome (>50 eGFR or ESRD) in the desired time interval

Examples

# Online calcresult = 51.42% vs 51.41738%
calculate_iga_risk_postbiopsy(egfr = 50, sbp=150, dbp=90,  proteinuria=1.2, age=30,
                              race="Chinese", RASB=T,
                              mest_M=1,mest_E=1,mest_S=1,mest_T=1, time=60)

# Get text description of estimate
calculate_iga_risk_postbiopsy(egfr = 50, sbp=150, dbp=90,  proteinuria=1.2, age=30,
                              race="Chinese", RASB=T,
                              mest_M=1,mest_E=1,mest_S=1,mest_T=1, time=60,
                              explanation = T)

# Online calcresult = 74.36% vs 74.3567%
calculate_iga_risk_postbiopsy(egfr = 50, sbp=150, dbp=90,  proteinuria=1.2, age=30,
                              race="Japanese", RASB=T,
                              mest_M=1,mest_E=1,mest_S=1,mest_T=1, time=60)

# Online calcresult = 37.01% vs 37.01%
calculate_iga_risk_postbiopsy(egfr = 50, sbp=150, dbp=90,  proteinuria=1.2, age=30,
                              race="Caucasian", RASB=T,
                              mest_M=1,mest_E=1,mest_S=1,mest_T=1, time=60)

# Online calcresult = 49.69% vs 27.98% # ONLINE uses no race if "Other" is specified
calculate_iga_risk_postbiopsy(egfr = 50, sbp=150, dbp=90,  proteinuria=1.2, age=30,
                              race="Other", RASB=T,
                              mest_M=1,mest_E=1,mest_S=1,mest_T=1, time=60)

# Online calcresult = 49.69% vs 49.69%
calculate_iga_risk_postbiopsy_norace(egfr = 50, sbp=150, dbp=90,  proteinuria=1.2, age=30,
                                     RASB=T,
                                     mest_M=1,mest_E=1,mest_S=1,mest_T=1, time=60)
calculate_iga_risk_postbiopsy_norace(egfr = 50, sbp=150, dbp=90,  proteinuria=1.2, age=30,
                                     RASB=T,
                                     mest_M=1,mest_E=1,mest_S=1,mest_T=1, time=60,
                                     explanation = T)

JMLuther/tabletools documentation built on April 14, 2025, 3:09 a.m.