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View source: R/simulate_piperacillin_tazobactam_bayesian_ftime_above_mic.R

Piperacillin & Tazobactam » Bayesian adaptive dosing » Percent time of free concentration above MIC

simulate_piperacillin_tazobactam_bayesian_ftime_above_mic(
  PATID,
  AGE,
  HEIGHT,
  WEIGHT,
  GENDER,
  MODEL,
  MIC,
  PCTABOVEMIC,
  CRCLCAP,
  HISTORY,
  REGIMENS
)

`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 ('Felton et al. (2014) - ICU' or 'Patel et. al. (2010) - General ward').
`MIC`	MIC. Minimum Inhibitory Concentration (MIC). Must be provided as numeric (min. 0.01, max. 1024 mg/L).
`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').
`HISTORY`	Historical Records. Must be provided as list of 3-48 'HISTCREATININE', 'HISTDOSE' or 'HISTCONCENTRATION' values.
`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 1-20 'REGIMEN' values. Use the `regimen` helper function to define the REGIMEN values.

Drug: Piperacillin & Tazobactam

Method: Estimate the pharmacokinetic parameters of the patient from past concentrations with Bayesian inverse modeling, then use that information to predict the steady state concentrations for multiple dosing regimens and select the optimal one, with regard to the target pharmacodynamic index.

PK/PD target: The percent of time that the free concentration is above the minimum inhibitory concentration.

Felton, T. W. et al. (2014): Individualization of Piperacillin Dosing for Critically Ill Patients: Dosing Software To Optimize Antimicrobial Therapy. In. Antimicrobial Agents and Chemotherapy. https://aac.asm.org/content/58/7/4094
Patel, N. et al. (2010): Identification of Optimal Renal Dosage Adjustments for Traditional and Extended-Infusion Piperacillin-Tazobactam Dosing Regimens in Hospitalized Patients. In. Antimicrobial Agents and Chemotherapy. https://aac.asm.org/content/54/1/460
K. Soetaert, T. Petzoldt (2010): Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME. In. Journal of Statistical Software. https://www.jstatsoft.org/article/view/v033i03

## Not run: 
simulate_piperacillin_tazobactam_bayesian_ftime_above_mic(PATID = "Anonymous", 
    AGE = 65, HEIGHT = 175, 
    WEIGHT = 75, GENDER = "Male", 
    MODEL = "Patel et. al. (2010) - General ward", 
    MIC = 8, PCTABOVEMIC = 50, 
    CRCLCAP = "No cap", 
    HISTORY = list(list(
        DATETIME = structure(1601870400, class = c("POSIXct", 
        "POSIXt"), tzone = ""), 
        DOSE = 2250, 
        TINF = 0.5, set = "HISTDOSE"), 
        list(DATETIME = structure(1601881200, class = c("POSIXct", 
        "POSIXt"), tzone = ""), 
            DOSE = 3375, 
            TINF = 0.5, 
            set = "HISTDOSE"), 
        list(DATETIME = structure(1601899200, class = c("POSIXct", 
        "POSIXt"), tzone = ""), 
            DOSE = 4500, 
            TINF = 3, 
            set = "HISTDOSE"), 
        list(DATETIME = structure(1601942400, class = c("POSIXct", 
        "POSIXt"), tzone = ""), 
            DOSE = 2250, 
            TINF = 0.5, 
            set = "HISTDOSE"), 
        list(DATETIME = structure(1601866800, class = c("POSIXct", 
        "POSIXt"), tzone = ""), 
            CREATININE = 0.9, 
            set = "HISTCREATININE"), 
        list(DATETIME = structure(1601906400, class = c("POSIXct", 
        "POSIXt"), tzone = ""), 
            CREATININE = 0.7, 
            set = "HISTCREATININE"), 
        list(DATETIME = structure(1601888400, class = c("POSIXct", 
        "POSIXt"), tzone = ""), 
            CONCENTRATION = 30, 
            set = "HISTCONCENTRATION"), 
        list(DATETIME = structure(1601890200, class = c("POSIXct", 
        "POSIXt"), tzone = ""), 
            CONCENTRATION = 25, 
            set = "HISTCONCENTRATION"), 
        list(DATETIME = structure(1601913600, class = c("POSIXct", 
        "POSIXt"), tzone = ""), 
            CONCENTRATION = 40, 
            set = "HISTCONCENTRATION")), 
    REGIMENS = list(list(
        DOSE = 2250, 
        INTERVAL = 4, 
        TINF = 0.5, set = "REGIMEN"), 
        list(DOSE = 2250, 
            INTERVAL = 6, 
            TINF = 0.5, 
            set = "REGIMEN"), 
        list(DOSE = 2250, 
            INTERVAL = 8, 
            TINF = 0.5, 
            set = "REGIMEN"), 
        list(DOSE = 3375, 
            INTERVAL = 4, 
            TINF = 0.5, 
            set = "REGIMEN"), 
        list(DOSE = 3375, 
            INTERVAL = 6, 
            TINF = 0.5, 
            set = "REGIMEN"), 
        list(DOSE = 3375, 
            INTERVAL = 8, 
            TINF = 0.5, 
            set = "REGIMEN"), 
        list(DOSE = 4500, 
            INTERVAL = 4, 
            TINF = 0.5, 
            set = "REGIMEN"), 
        list(DOSE = 4500, 
            INTERVAL = 6, 
            TINF = 0.5, 
            set = "REGIMEN")))

## End(Not run)