Using KDIGO 2012 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease Volume 3 | Issue 1 | January 2013
eGFR_child_SCysC(...)
# S3 method for data.frame
eGFR_child_SCysC(.data, SCysC, ...)
# S3 method for units
eGFR_child_SCysC(SCysC, ...)
# S3 method for numeric
eGFR_child_SCysC(SCysC, ...)Further optional arguments
(data.frame) A data.frame, optional
Serum Cystatin C
column name, or vector of units or numeric if .data is not provided
Estimated GFR of the same type provided (numeric or units)
See https://kdigo.org/guidelines/ckd-evaluation-and-management/ for more details
eGFR_child_SCysC(eGFR_pt_data,
SCysC = "SCysC_"
)
#> Units: [mL/1.73m2/min]
#> [1] NA 165.89761 165.89761 NA 165.89761 165.89761 NA
#> [8] 59.65409 59.65409 NA 59.65409 59.65409 NA 165.89761
#> [15] 165.89761 NA 165.89761 165.89761 NA 59.65409 59.65409
#> [22] NA 59.65409 59.65409 NA 165.89761 165.89761 NA
#> [29] 165.89761 165.89761 NA 59.65409 59.65409 NA 59.65409
#> [36] 59.65409 NA 165.89761 165.89761 NA 165.89761 165.89761
#> [43] NA 59.65409 59.65409 NA 59.65409 59.65409 NA
#> [50] NA 165.89761
eGFR_pt_data %>%
dplyr::mutate(eGFR = eGFR_child_SCysC(
SCysC = SCysC_
))
#> # A tibble: 51 × 11
#> SCr_ SCysC_ Age_ male_ black_ height_ BUN_ eGFR_calc_type_ eGFR_
#> [mg/dl] [mg/L] [years] <lgl> <lgl> [m] [mg/dl] <chr> [mL/…
#> 1 0.5 NA 20 FALSE FALSE NA NA eGFR_adult_SCr 139.
#> 2 NA 0.4 20 FALSE FALSE NA NA eGFR_adult_SCysC 162.
#> 3 0.5 0.4 20 FALSE FALSE NA NA eGFR_adult_SCr_SCy… 167.
#> 4 0.5 NA 30 FALSE TRUE NA NA eGFR_adult_SCr 150.
#> 5 NA 0.4 30 FALSE TRUE NA NA eGFR_adult_SCysC 155.
#> 6 0.5 0.4 30 FALSE TRUE NA NA eGFR_adult_SCr_SCy… 171.
#> 7 0.5 NA 20 FALSE FALSE NA NA eGFR_adult_SCr 139.
#> 8 NA 1.2 20 FALSE FALSE NA NA eGFR_adult_SCysC 66.8
#> 9 0.5 1.2 20 FALSE FALSE NA NA eGFR_adult_SCr_SCy… 96.4
#> 10 0.5 NA 30 FALSE TRUE NA NA eGFR_adult_SCr 150.
#> # ℹ 41 more rows
#> # ℹ 2 more variables: pediatric_ <lgl>, eGFR [mL/1.73m2/min]