Nothing
## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----setup--------------------------------------------------------------------
library(transplantr)
library(dplyr)
## -----------------------------------------------------------------------------
# load dataset
data("liver.pts")
# remove redundant variables and calculate MELD
oltx_data = liver.pts %>%
select(-Patient.Age, -Patient.Sodium) %>%
mutate(MELD = meld(INR = Patient.INR, bili = Patient.Bilirubin,
creat = Patient.Creatinine, dialysis = Patient.Dialysed))
# display result
oltx_data
## ---- eval = F----------------------------------------------------------------
# meld(INR = 2.0, bili = 3.1, creat = 1.9, dialysis = 0, units = "US")
## ---- eval = F----------------------------------------------------------------
# # calculate full SOFT score using international units
# soft(Age = 35, BMI = 20, PrevTx = 0, AbdoSurg = 1, Albumin = 30, Dx = 0,
# ICU = 0, Admitted = 0, MELD = 29, LifeSupport = 0, Encephalopathy = 1,
# PVThrombosis = 0, Ascites = 1, PortalBleed = 0, DonorAge = 44,
# DonorCVA = 0, DonorSCr = 110, National = 0, CIT = 8)
#
# # calculate full SOFT score using US units
# soft(Age = 35, BMI = 20, PrevTx = 0, AbdoSurg = 1, Albumin = 3.0, Dx = 0,
# ICU = 0, Admitted = 0, MELD = 29, LifeSupport = 0, Encephalopathy = 1,
# PVThrombosis = 0, Ascites = 1, PortalBleed = 0, DonorAge = 44,
# DonorCVA = 0, DonorSCr = 1.2, National = 0, CIT = 8, Units = "US")
#
# # calculate P-SOFT score
# p_soft(Age = 65, BMI = 36, PrevTx = 2, AbdoSurg = 1, Albumin = 29,
# Dx = 0, ICU = 0, Admitted = 1, MELD = 32, LifeSupport = 0,
# Encephalopathy = 1, PVThrombosis = 1, Ascites = 1)
#
# # calculate P-SOFT with US units
# p_soft_US(Age = 65, BMI = 36, PrevTx = 2, AbdoSurg = 1, Albumin = 2.9,
# Dx = 0, ICU = 0, Admitted = 1, MELD = 32, LifeSupport = 0,
# Encephalopathy = 1,PVThrombosis = 1, Ascites = 1)
#
# # adding P-SOFT and SOFT as two variables to a tibble using a dplyr pipe
# liver.recipients = liver.recipients %>%
# mutate(P.Soft = p_soft(age, bmi, prev.tx, abdo.surg, albumin, dialysis,
# icu, admitted, meld.score, life.support,
# encephalopathy, pv.thrombosis, ascites),
# Soft = soft2(P.Soft, portal.bleed, donor.age, donor.cva, donor.SCr,
# sharing, cit))
## ---- eval = F----------------------------------------------------------------
# # calculate DRI
# liver_dri(age = 64, cod = "cva", eth = "white", dcd = 0,
# split = 0, share = "local", cit = 14, height = 170)
#
# # calculate ET-DRI
# et_dri(age = 39, cod = "trauma", dcd = 0, split = 0,
# share = "local", cit = 8, ggt = 50, rescue = 0)
#
## ---- eval = F----------------------------------------------------------------
# # calculate PELD where lab reports albumin in g/dl and bilirubin in µmol/l
# paed.oltx2 = paed.oltx %>%
# mutate(AlbuminX10 = Patient.Albumin * 10,
# PELD = peld(INR = Patient.INR, bili = Patient.Bilirubin, albumin = AlbuminX10,
# listing_age = Patient.ListAge, growth_failure = Patient.GrowthFailure))
#
# # calculate PELD where lab reports albumin in g/l and bilirubin in mg/dl
# paed.oltx2 = paed.oltx %>%
# mutate(AlbuminDiv10 = Patient.Albumin / 10,
# PELD = peld_US(INR = Patient.INR, bili = Patient.Bilirubin, albumin = AlbuminDiv10,
# listing_age = Patient.ListAge, growth_failure = Patient.GrowthFailure))
#
## ---- eval = F----------------------------------------------------------------
# # calculate Pedi-SOFT score
# pedi_soft(CTVG = 1, Weight = 10, Dx = 0, LifeSupport = 0, PrevTx = 0) # 4
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