count_codes: Count ICD codes or comorbidities for each patient In icd: Comorbidity Calculations and Tools for ICD-9 and ICD-10 Codes

Description

`count_codes` takes a data frame with a column for `visit_name` and another for ICD-9 code, and returns the number of distinct codes for each patient.

Usage

 `1` ```count_codes(x, visit_name = get_visit_name(x), return_df = FALSE) ```

Arguments

 `x` data frame with one row per patient, and a true/false or 1/0 flag for each column. By default, the first column is the patient identifier and is not counted. If `visit_name` is not specified, the first column is used. `visit_name` The name of the column in the data frame which contains the patient or visit identifier. Typically this is the visit identifier, since patients come leave and enter hospital with different ICD-9 codes. It is a character vector of length one. If left empty, or `NULL`, then an attempt is made to guess which field has the ID for the patient encounter (not a patient ID, although this can of course be specified directly). The guesses proceed until a single match is made. Data frames may be wide with many matching fields, so to avoid false positives, anything but a single match is rejected. If there are no successful guesses, and `visit_id` was not specified, then the first column of the data frame is used. `return_df` single logical, if `TRUE`, return the result as a data frame with the first column being the `visit_name`, and the second being the count. If `visit_name` was a factor or named differently in the input, this is preserved.

Details

The `visit_name` field is typically the first column. If there is no column called `visit_name` and `visit_name` is not specified, the first column is used.

Value

vector of the count of comorbidities for each patient. This is sometimes used as a metric of comorbidity load, instead of, or in addition to metrics like the Charlson Comorbidity Index (aka Charlson Score)

Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25``` ```mydf <- data.frame( visit_name = c("r", "r", "s"), icd9 = c("441", "412.93", "042") ) count_codes(mydf, return_df = TRUE) count_codes(mydf) cmb <- icd9_comorbid_quan_deyo(mydf, short_code = FALSE, return_df = TRUE) count_comorbid(cmb) wide <- data.frame( visit_name = c("r", "s", "t"), icd9_1 = c("0011", "441", "456"), icd9_2 = c(NA, "442", NA), icd9_3 = c(NA, NA, "510") ) count_codes_wide(wide) # or: ## Not run: library(magrittr, warn.conflicts = FALSE) wide %>% wide_to_long() %>% count_codes() ## End(Not run) ```

icd documentation built on July 2, 2020, 4:07 a.m.