PK 10: Urinary PK Flashcards

1
Q

When would you adjust dosing in patients with renal impairment (~GFR < 60 mL/min)?

A

when fe > 0.5

  • for cases where there is limited/no information to guide dosing in renal impairment

exception 1: narrow therapeutic index drugs

  • therapeutic concentrations are close or overlap with those that elicit toxic responses
  • dosing adjustments may be considered for drugs with fe ≤ 0.5
  • adjustment should be guided by biomarker/patient drug concentrations

exception 2: parent drug is metabolized into active (or toxic) metabolites that are renally cleared

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2
Q

What are the 3 ways dosing in patients with renal impairment can be adjusted (for drugs that are administered chronically)?

A
  • change dose
  • change frequency
  • change dose and frequency
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3
Q

How can we defined fe using urinary excretion data?

A
  • collect urine over several intervals following a single IV administration
  • for each collection interval, compute the amount present in the urine (urine volume x urine concentration)
  • compute cumulative amount excreted across intervals
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4
Q

What does a plateau in a cumulative amount excreted in urine vs. time plot indicate?

A

indicates the study period was long enough to appropriately determine the total amount excreted in the urine (Ae0-∞)

(complete urinary drug collection)

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5
Q

How are PK parameters (k and fe) derived from urinary excretion data?

A

using a similar approach to a 1-compartment IV bolus model

  • k: –slope
  • fe: ke/k
  • intercept = rate0h = ke x A0
  • applicability: urine collections following IV bolus dosing only
  • assumption: systemic drug PK can be described using a 1-compartment mode
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6
Q

How are systemic drug parameters (related to plasma) such as CL and V defined using urinary excretion data?

A

they cannot be defined using urinary excretion data alone

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7
Q

Differentiate urinary excretion patterns for drugs that are predominantly excreted via (1) glomerular filtration, (2) active secretion, or (3) both.

A

predominant processes mediating urinary drug elimination can be identified by evaluating the relationship between urinary excretion rates and systemic drug concentrations

  • CLR represents slope of the line between urinary drug excretion vs. plasma concentration data
  • assessing linearity of the slope determines whether filtration vs. active secretion (or both) are responsible for renal drug elimination, and indicates whether renal drug excretion follows linear vs. non-linear PK
  • filtration only: linear
  • active secretion only: upside-down curve that plateaus
  • filtration and active secretion: upside-down curve that continues
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8
Q

What are some issues associated with obtaining urinary PK data?

A
  • frequent collection intervals required
  • accurate urine volumes needed
  • requires a highly specific assay
  • missed urinary collections
  • incomplete voiding of bladder
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