Amikacin » PTA » Cmin/MIC

Amikacin » Probability of Target Attainment » Total minimum concentration to MIC ratio

simulate_amikacin_mc_pta_cmin_mic_ratio(
  PATID,
  AGE,
  HEIGHT,
  WEIGHT,
  GENDER,
  MODEL,
  CREATININE,
  CMINPERMIC,
  REGIMENS
)

Arguments

PATID	Patient Identifier. User-provided free text (such as patient id, name or alias) to identify related simulations. Must be provided as string.
AGE	Age. Age of the patient in years. Must be provided as numeric (min. 18, max. 120 year).
HEIGHT	Height. Height of the patient. Must be provided as numeric (min. 100, max. 250 cm).
WEIGHT	Weight. Actual body weight of the patient. Must be provided as numeric (min. 20, max. 500 kg).
GENDER	Sex. Patient's sex for clinical decision-making. Must be provided as string ('Male' or 'Female').
MODEL	Model for population of interest. Pharmacokinetic model to be used for specific patient type during simulations. Must be provided as string ('Saez Fernandez et al. (2019) - General ward').
CREATININE	Creatinine. Serum creatinine. Must be provided as numeric (min. 0.01, max. 15 mg/dL).
CMINPERMIC	Minimum concentration to MIC ratio target. The PK/PD target can be provided as minimum concentration to minimum inhibitory concentration ratio (Cmin/MIC). Must be provided as numeric (min. 0.1, max. 50 ).
REGIMENS	Dosing Regimens. List of dosing regimens to be used in simulating target attainment, from which the dosing regimen with the smallest absolute difference from the desired target will be automatically selected. Must be provided as list of 1-8 'REGIMEN' values. Use the regimen helper function to define the REGIMEN values.

Details

Drug: Amikacin

Method: Monte Carlo simulation on the probabilities that a specific value of a pharmacodynamic index is achieved in case of different minimum inhibitory concentrations (MIC).

PK/PD target: Minimum concentration (mg/L) to minimum inhibitory concentration ratio (mg/L).

References

• Saez Fernandez et al. (2019): Evaluation of renal function equations to predict amikacin clearance. In. Expert Review of Clinical Pharmacology. https://www.tandfonline.com/doi/full/10.1080/17512433.2019.1637253

Examples

if (FALSE) {
simulate_amikacin_mc_pta_cmin_mic_ratio(PATID = "Anonymous", 
    AGE = 35, HEIGHT = 155, 
    WEIGHT = 55, GENDER = "Female", 
    MODEL = "Saez Fernandez et al. (2019) - General ward", 
    CREATININE = 1.2, 
    CMINPERMIC = 6, REGIMENS = list(
        list(DOSE = 200, 
            INTERVAL = 6, 
            TINF = 0.5, 
            set = "REGIMEN")))
}