This package contains useful functions for working with ICD Codes (diagnoses and procedures), CCS groupings along with NDC drug codes. It also contains datasets used to generate common code groups such as index diseases (e.g., AMI or CDI), medications (e.g., antibiotics).
This package is intended to replace and expand upon the icdplus
package. All prior functions and datasets contained in icdplus
have
been placed in this package.
Code used to generate common disease, medication or procedure groupings
are located in R/disease_codes
, R/drug_codes
or R/proc_codes
,
respectively. These scripts should generate .csv files that reside in
inst/extdata
. Note: these files will be stored externally to the
package and are saved as raw text files to manage code revisions on
GitHub, but will be installed with the package.
If code used to generate the common disease, medication and procedure
groupings require manually created raw csv files, these should be stored
in data-raw/disease_codes
, data-raw/drug_codes
or
data-raw/proc_codes
, respectively.
icdplus
codeslibrary(codeBuildr)
Covert ICD-9 code for C.diff to ICD-10
icd9_to_icd10("00845")
## [1] "A047"
Use children()
from icd
package to collect any nested codes
icd9_to_icd10("00845") %>% children()
## [1] "A047" "A0471" "A0472"
Convert ICD-10 back to ICD-9 for C.diff
icd10_to_icd9("A047")
## [1] "00845"
Find a ccs code from a term:
find_ccs("flu")
## # A tibble: 2 x 2
## ccs_code ccs_category
## <int> <chr>
## 1 55 Fluid and electrolyte disorders
## 2 123 Influenza
find_ccs("influenza")
## # A tibble: 1 x 2
## ccs_code ccs_category
## <int> <chr>
## 1 123 Influenza
Get descriptions for CCS codes:
explain_ccs(c(1,100))
## # A tibble: 2 x 2
## ccs_code ccs_category
## <int> <chr>
## 1 1 Tuberculosis
## 2 100 Acute myocardial infarction
Get ICD-9 codes for a CCS group
get_icd_from_ccs(100)
## [1] "4100" "41000" "41001" "41002" "4101" "41010" "41011" "41012" "4102"
## [10] "41020" "41021" "41022" "4103" "41030" "41031" "41032" "4104" "41040"
## [19] "41041" "41042" "4105" "41050" "41051" "41052" "4106" "41060" "41061"
## [28] "41062" "4107" "41070" "41071" "41072" "4108" "41080" "41081" "41082"
## [37] "4109" "41090" "41091" "41092"
Get ICD-10 codes for a CCS group
get_icd_from_ccs(100,icd_version = 10)
## [1] "I2101" "I2102" "I2109" "I2111" "I2119" "I2121" "I2129" "I213" "I214"
## [10] "I219" "I21A1" "I21A9" "I220" "I221" "I222" "I228" "I229"
See the available disease code sets
avail_disease_codes()
## # A tibble: 9 x 2
## name description
## <chr> <chr>
## 1 ami Acute Myocardial Infarction
## 2 asthma Asthma
## 3 cdi Clostridioides difficile infection
## 4 cf_carrier Cystic Fibrosis Carrier
## 5 cf Cystic Fibrosis
## 6 covid COVID-19
## 7 pancreatitis_acute Acute Pancreatitis
## 8 pancreatitis_chronic Chronic Pancreatitis
## 9 pancreatitis Pancreatitis
Load disease codes sets
load_disease_codes(c("ami","cdi"))
## $ami
## $ami$desc
## [1] "Acute Myocardial Infarction"
##
## $ami$icd9_codes
## [1] "410" "4100" "41000" "41001" "41002" "4101" "41010" "41011" "41012"
## [10] "4102" "41020" "41021" "41022" "4103" "41030" "41031" "41032" "4104"
## [19] "41040" "41041" "41042" "4105" "41050" "41051" "41052" "4106" "41060"
## [28] "41061" "41062" "4107" "41070" "41071" "41072" "4108" "41080" "41081"
## [37] "41082" "4109" "41090" "41091" "41092"
##
## $ami$icd10_codes
## [1] "I21" "I210" "I2101" "I2102" "I2109" "I211" "I2111" "I2119" "I212"
## [10] "I2121" "I2129" "I213" "I214" "I219" "I21A" "I21A1" "I21A9" "I22"
## [19] "I220" "I221" "I222" "I228" "I229"
##
##
## $cdi
## $cdi$desc
## [1] "Clostridioides difficile infection"
##
## $cdi$icd9_codes
## [1] "00845"
##
## $cdi$icd10_codes
## [1] "A047" "A0471" "A0472"
See the available rx code sets
avail_rx_codes()
## [1] "abx_cdi_risk" "all_abx"
Load an rx code set
all_abx <- load_rx_codes("all_abx")
names(all_abx)
## [1] "clindamycin" "fluoroquinolones" "cephalosporins" "monobactams"
## [5] "carbapenems" "penicillins" "macrolides" "sulfonamides"
## [9] "other" "tetracyclines" "glycopeptides" "nitroimidazoles"
head(all_abx$clindamycin)
## [1] "00003294210" "00003294211" "00003294220" "00003294221" "00003294222"
## [6] "00009022501"
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