Computes:
sweat_chloride (mmol/L)
Na_K_ratio (sweat Na+/K+)
sweat_lactate (mmol/L)
sweat_rate (L/m^2/h) from body mass loss per hour per m^2
Usage
sweat_markers(
data,
col_map = list(sweat_chloride = "sweat_chloride", sweat_Na = "sweat_Na", sweat_K =
"sweat_K", sweat_lactate = "sweat_lactate", weight_before = "weight_before",
weight_after = "weight_after", duration = "duration", body_surface_area =
"body_surface_area"),
verbose = FALSE,
na_action = c("keep", "omit", "error"),
na_warn_prop = 0.2,
check_extreme = FALSE,
extreme_action = c("warn", "cap", "error", "ignore"),
extreme_rules = NULL
)Arguments
- data
A data.frame or tibble containing sweat assay and anthropometrics.
- col_map
Named list mapping required inputs (defaults assume same names):
sweat_chloride, sweat_Na, sweat_K, sweat_lactate, weight_before, weight_after, duration, body_surface_area
- verbose
Logical; if
TRUE, prints progress messages and a completion summary.- na_action
One of
c("keep","omit","error")for handling missing values in required inputs. Default "keep".- na_warn_prop
Proportion \([0,1]\) to trigger high-missingness diagnostics for required inputs (debug level). Default 0.2.
- check_extreme
Logical; if TRUE, scan inputs for extreme values. Default FALSE.
- extreme_action
One of
c("warn","cap","error","ignore")when extremes detected. Default "warn".- extreme_rules
Optional named list of c(min,max) bounds for inputs. If NULL, broad defaults are used.
Details
Inputs are validated, missingness handled via na_action, safe divisions
are used to avoid Inf/NaN, and an optional extremes scan/cap is available.
Expected units:
sweat_chloride, sweat_Na, sweat_K: mmol/L
sweat_lactate: mmol/L
weight_before, weight_after: kg
duration: hours
body_surface_area: m^2
References
Gibson LE, Cooke RE. A test for concentration of electrolytes in sweat in cystic fibrosis of the pancreas utilizing pilocarpine by iontophoresis. Pediatrics. 1959;23(3):545-549. (Sweat chloride test origin) Dill DB, Costill DL. Calculation of percentage changes in volumes of blood, plasma, and red cells in dehydration. J Appl Physiol. 1974;37(2):247-248. doi:10.1152/jappl.1974.37.2.247 Farrell PM, White TB, Ren CL, et al. Diagnosis of cystic fibrosis: consensus guidelines from the Cystic Fibrosis Foundation. J Pediatr. 2017;181S:S4-S15.e1. doi:10.1016/j.jpeds.2016.09.064 Sawka MN, Cheuvront SN, Kenefick RW. Hypohydration and human performance: impact of environment and physiological mechanisms. Sports Med. 2015;45(Suppl 1):S51-S60. doi:10.1007/s40279-015-0395-7
Examples
df <- tibble::tibble(
sweat_chloride = 45,
sweat_Na = 55,
sweat_K = 5,
sweat_lactate = 4.8,
weight_before = 70.0,
weight_after = 69.5,
duration = 1.0,
body_surface_area = 1.9
)
sweat_markers(df)
#> # A tibble: 1 × 4
#> sweat_chloride Na_K_ratio sweat_lactate sweat_rate
#> <dbl> <dbl> <dbl> <dbl>
#> 1 45 11 4.8 0.263