Meropenem » PTA » % fT > MIC — simulate_meropenem_mc_pta_ftime_above

Meropenem » Probability of Target Attainment » Percent time of free concentration above MIC

simulate_meropenem_mc_pta_ftime_above_mic(
  PATID,
  AGE,
  HEIGHT,
  WEIGHT,
  GENDER,
  CREATININE,
  MODEL,
  EDEMA,
  PCTABOVEMIC,
  CRCLCAP,
  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').
CREATININE	Creatinine. Serum creatinine. Must be provided as numeric (min. 0.01, max. 15 mg/dL).
MODEL	Model for population of interest. Pharmacokinetic model to be used for specific patient type during simulations. Must be provided as string ('Crandon et al. (2011) - ICU', 'Li, C. et. al. (2006) - General ward' or 'Doh, K. et al. (2010) - Burn patients').
EDEMA	Edema. Presence of edema in case of Burn Patients. Must be provided as string ('No' or 'Yes').
PCTABOVEMIC	Percent of time target that the drug concentration is above MIC. The PK/PD target can be provided as the percent of time that the drug concentration is above the minimum inhibitory concentration (% T > MIC). Must be provided as numeric (min. 5, max. 100 %).
CRCLCAP	Capping Creatinine Clearance. Whether to use capping for creatinine clearance. Must be provided as string ('No cap', '120 ml/min', '130 ml/min', '140 ml/min' or '150 ml/min').
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: Meropenem

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: The percent of time that the free concentration is above the minimum inhibitory concentration.

References

Jared L Crandon et al. (2011): Optimization of meropenem dosage in the critically ill population based on renal function. In. Intensive Care Medicine. https://pubmed.ncbi.nlm.nih.gov/21136037
Li, C. et. al (2006): Population Pharmacokinetic Analysis and Dosing Regimen Optimization of Meropenem in Adult Patients. In. The Journal of Clinical Pharmacology. https://accp1.onlinelibrary.wiley.com/doi/10.1177/0091270006291035
Doh, K. et al. (2010): Population pharmacokinetics of meropenem in burn patients. In. Journal of Antimicrobial Chemotherapy. https://academic.oup.com/jac/article/65/11/2428/762112

Examples

if (FALSE) {
simulate_meropenem_mc_pta_ftime_above_mic(PATID = "Anonymous", 
    AGE = 65, HEIGHT = 175, 
    WEIGHT = 75, GENDER = "Male", 
    CREATININE = 1, MODEL = "Crandon et al. (2011) - ICU", 
    EDEMA = "No", PCTABOVEMIC = 40, 
    CRCLCAP = "No cap", 
    REGIMENS = list(list(
        DOSE = 500, INTERVAL = 6, 
        TINF = 0.5, set = "REGIMEN"), 
        list(DOSE = 1000, 
            INTERVAL = 8, 
            TINF = 0.5, 
            set = "REGIMEN"), 
        list(DOSE = 2000, 
            INTERVAL = 8, 
            TINF = 0.5, 
            set = "REGIMEN"), 
        list(DOSE = 2000, 
            INTERVAL = 8, 
            TINF = 3, 
            set = "REGIMEN")))
}