Nothing
source('utilities.R')
library(medicalcoder)
################################################################################
# Regression test: selected ICD-10 codes should map to specific Elixhauser
# comorbidities under the Quan (2005) implementation.
################################################################################
example_codes <-
data.frame(
patid = c("P1", "P1", "P1", "P2", "P2", "P2", "P3"),
icdv = 10L,
dx = 1L,
code = c("I099", # CHF
"I110", # Hypertensive heart disease with heart failure (supports CHF)
"I132", # Hypertensive heart and kidney disease with heart failure
"E109", # Diabetes mellitus without complications
"E1021", # Diabetes with renal complications
"E6609", # Other obesity
"N185" # Chronic kidney disease, stage 5 (renal failure)
),
stringsAsFactors = FALSE
)
res <- comorbidities(
data = example_codes,
icd.codes = "code",
id.vars = "patid",
icdv.var = "icdv",
dx.var = "dx",
method = "elixhauser_quan2005",
poa = 1,
primarydx = 0,
flag.method = "current"
)
# P1: congestive heart failure and HTN_C
stopifnot(res[["CHF"]][res[["patid"]] == "P1"] == 1L)
stopifnot(res[["HTN_C"]][res[["patid"]] == "P1"] == 1L)
stopifnot(res[["num_cmrb"]][res[["patid"]] == "P1"] == 2L)
# P2: diabetes (with and without complications) + obesity - the patient should
# flag both but only have with complications reported.
stopifnot(res[["DM"]][res[["patid"]] == "P2"] == 0L)
stopifnot(res[["DMCX"]][res[["patid"]] == "P2"] == 1L)
stopifnot(res[["OBESE"]][res[["patid"]] == "P2"] == 1L)
stopifnot(res[["num_cmrb"]][res[["patid"]] == "P2"] == 2L)
# P3: renal failure only
stopifnot(res[["RENLFAIL"]][res[["patid"]] == "P3"] == 1L)
stopifnot(res[["num_cmrb"]][res[["patid"]] == "P3"] == 1L)
################################################################################
# End of File #
################################################################################
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