ambulatory sample [Regulatives / Guidelines]
Dear Thirupathi!
First I agree with Ohlbe. Experienced CROs define ‘time allowance windows’ (based on the PK of the drug: narrower in the earlier parts of the profile and wider in the later parts) where deviations don’t have to be commented (!) in the CRF and/or EDCS. However, all deviations are recorded. Some ideas behind:
Sure. No good idea. Let’s see an example (i.v. administration, one-compartment open model): C = 100e–ln(2)/8 × t, theoretical AUCs: AUC∞ = 100/[ln(2)/8] = 1154.2, AUCt = AUC∞ – AUC∞ × e–ln(2)/8 × t (48 h: 1136.1, 48.5 h: 1136.9).
The log-trapezoidal (or lin-up/log-down for extravascular data) rule is the better choice.
❝ We have to plan for withdrawal of ambulatory sample with the window period of plus 30 min to schedule time with NO Protocol deviation (e.g. for 08:00 clock amb. sample, if the sample withdrawn at 08:29/30 we will consider 08:00 clock sample).
First I agree with Ohlbe. Experienced CROs define ‘time allowance windows’ (based on the PK of the drug: narrower in the earlier parts of the profile and wider in the later parts) where deviations don’t have to be commented (!) in the CRF and/or EDCS. However, all deviations are recorded. Some ideas behind:
- Large deviations are unlikely in the early parts where mainly a venflon is used.
- Deviations are more likely in the later part; clotting of tubes may occur, or repetitive venipuncture may be applied.
- The window for recording a protocol deviation should be set realistically! It is by far more important to record the exact time point, than to write down a detailed explanation. If the personnel introduces further delays in the clinical performance just recording reasons for delays, such a practice is counterproductive.
❝ Is this samples are impact on the value of AUCt/other?
Sure. No good idea. Let’s see an example (i.v. administration, one-compartment open model): C = 100e–ln(2)/8 × t, theoretical AUCs: AUC∞ = 100/[ln(2)/8] = 1154.2, AUCt = AUC∞ – AUC∞ × e–ln(2)/8 × t (48 h: 1136.1, 48.5 h: 1136.9).
dataset 1. 2. 3.
time s i m u l a t e d c o n c e n t r a t i o n
0 100 100 100
2 84.0896 84.0896 84.0896
4 70.7107 70.7107 70.7107
8 50 50 50
16 25 25 25
24 12.5 12.5 12.5
48 1.5625 1.4963
48.5 1.4963
t½ (%bias) 8.0000 (±0.0) 8.0000 (±0.0) 7.8676 (-1.7)
lin-trapezoidal rule
AUCt (%bias) 1199.1 (+5.5) 1201.8 (+5.7) 1198.3 (+5.5)
AUC∞ (%bias) 1217.1 (+5.5) 1219.0 (+5.6) 1215.3 (+5.3)
log-trapezoidal rule
AUCt (%bias) 1136.1 (±0.0) 1136.9 (±0.0) 1134.3 (-0.2)
AUC∞ (%bias) 1154.2 (±0.0) 1154.2 (±0.0) 1151.3 (-0.2)
The log-trapezoidal (or lin-up/log-down for extravascular data) rule is the better choice.
- The original dataset with no deviations. t1/2 from the last three values is estimated with 8 hours (unbiased); correct AUCt and AUC∞.
- A delay of 30 minutes at 48 hours and the actual time point is used: Unbiased estimate of t1/2; correct AUCs.
- Delayed sampling treated as scheduled (48.5 → 48): Biased estimate of t1/2 with 7.87 hours; underestimated AUCs.
—
Dif-tor heh smusma 🖖🏼 Довге життя Україна!![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- ambulatory sample thirupathireddy alla 2010-09-02 06:36 [Regulatives / Guidelines]
- Sampling time deviations Ohlbe 2010-09-02 10:25
- ambulatory sampleHelmut 2010-09-02 12:46
- ambulatory sample thirupathireddy alla 2010-09-03 13:33
- ambulatory sample patilatu 2010-09-22 06:57
- ambulatory sample thirupathireddy alla 2010-09-03 13:33
