Meropenem » CFR » % fT > MIC

Meropenem » Cumulative Fraction of Response » Percent time of free concentration above MIC

simulate_meropenem_mc_cfr_ftime_above_mic(
  PATID,
  AGE,
  HEIGHT,
  WEIGHT,
  GENDER,
  CREATININE,
  MODEL,
  EDEMA,
  PCTABOVEMIC,
  CRCLCAP,
  REGIMENS,
  MICDISTR
)

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.
MICDISTR	MIC distribution. Non-cumulative MIC distribution of organism for the given antibiotic at the specified MICs provided as percentages with a sum of 100%. MIC distribution of meropenem and comparator antimicrobial agents when tested against Pseudomonas isolates in the SENTRY program collected during 2019 (mg/L). Dataset provided by JMI Laboratories and the SENTRY Antimicrobial Surveillance Program, available at <a href="http://sentry-mvp.jmilabs.com" target="_new">sentry-mvp.jmilabs.com</a>. Must be provided as set.

Details

Drug: Meropenem

Method: Monte Carlo simulation on the proportion of the population achieving a certain pharmacodynamic index value, given the minimum inhibitory concentration (MIC) distribution of the target microorganism(s).

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_cfr_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")), 
    MICDISTR = list("MICDISTR-0.015625" = list(
        0.6), "MICDISTR-0.03125" = list(
        1.2), "MICDISTR-0.0625" = list(
        6), "MICDISTR-0.125" = list(
        10.5), "MICDISTR-0.25" = list(
        20.4), "MICDISTR-0.5" = list(
        20.1), "MICDISTR-1" = list(
        12.7), "MICDISTR-2" = list(
        7.1), "MICDISTR-4" = list(
        5.6), "MICDISTR-8" = list(
        4.6), "MICDISTR-16" = list(
        5.4), "MICDISTR-32" = list(
        2.7), "MICDISTR-64" = list(
        3.2)))
}