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")))
}