Thank you, Nick.

I am working with a group that have adults burn patients where they have some 
pk parameters from q8 dosing of gentamicin- and estimated their once daily 
gentamicin dose in this population. They will now implement this once daily 
gentamicin dose and follow serial samples 4-5 samples in a 24 hr period for 
each patient but it will be a small sample given burn patients are relatively 
rare vs other adult inpatient populations .

These samples  will be part of clinical care as these are acute burn patients 
in a trauma burn unit and the protocol will of course submitted to REB for 
review to ensure that our protocol is ethical .

We won't sample towards end of 24 hr as it will likely be in detectable, so 
likely no useful info gained as you have advised.

I will follow your leads and advice. Thanks!

Winnie - Sent from my iPhone

On 2013-10-27, at 20:14, "Nick Holford" <[email protected]> wrote:

> Winnie,
> Please see below for my comments and suggestions.
> Best wishes,
> Nick
>
> On 28/10/2013 8:28 a.m., Winnie Seto wrote:
>>
>> Hello NONMEM users and Dr. Holford
>>
>> I am a novice when it comes to pop PK simulations-
>>
> You refer to pop PK simulations but what you describe below sounds more like 
> a plan for a pop PK parameter estimation study rather than a pop PK 
> simulation study. Of course, some simulation would be helpful for planning a 
> parameter estimation study (see below).
>
> It would be helpful for know what your objectives are. There must be hundreds 
> of published aminoglycoside studies so why are you planning another? What are 
> you hoping to learn? Do you have a hypothesis you want to confirm? If you 
> don't have a clear idea about what you going to learn or confirm, and a 
> scientific plan to show you can achieve the objectives, then I would consider 
> this kind of study unethical.
>>
>> Our group is planning on a prospective once daily aminoglycoside 
>> pharmacokinetic study in patients with proposed serial time levels post dose 
>> with 30min, 2hr, 4hr, 12hr and 24hr post dose drug levels.
>>
> In typical patients given once daily doses of aminoglycosides such as 
> gentamicin it is most likely that a 24 h concentration would be less than the 
> limit of quantification of you laboratory. IMHO a 24 h sample would be 
> unethical in a typical patient over the age of 1 year because it has some 
> discomfort and probably $$ cost for the patient and is of almost no value. 
> This is where some simulation could be helpful. In patients with low 
> clearance (e.g. due to immaturity in neonates) then a 24 h sample might be 
> reasonable. You can see a simple simulation example here in slide 17:
> http://holford.fmhs.auckland.ac.nz/docs/target-concentration-intervention.pdf
> This kind of simulation is easily done in Excel. Just doing it yourself will 
> help you understand the answers to many questions about PK study design.
>
>> We will have only a small sample size (less than 50 patients) and some 
>> patients may not be able to have samples at all these timepoints from 
>> logistical reasons.
>>
> The sample size depends on what your objectives are. 50 patients would be 
> fine to describe the popPK of an aminoglycoside given 5 conc measurements per 
> subject. If your objective is related to a question about covariates 
> predicting variability (weight, renal function, maturation, etc) then you may 
> need a larger sample to get a clear answer.
>>
>> I would really appreciate some advice on the following:
>>
>> 1.Is there a number of minimum patients that I need for each sampling time 
>> point for pop pk analysis?
>>
> This kind of question about the number of patients, number of samples and 
> timing of samples is best answered by using an optimal design program. See 
> http://www.page-meeting.org/pdf_assets/9481-mentre_page07postPage2.pdf for a 
> review. Most of these programs will have improved since then but some of them 
> are no longer available). The trade off between these design quantities will 
> be determined by what your objectives are and how much money and time you 
> have.
>>
>> 2.For each time point – is it better to have some variability within the 
>> sampling time window e.g. 10-12hr with a few patients with samples 
>> distributed at 10, 11 or 12 hour mark?
>>
> Yes -- as a general rule your design will be more robust if you use sampling 
> windows and in real life samples will not be taken at exactly the same time 
> in every patient. For data analysis it is essential to record the dosing and 
> sampling times as accurately as possible.
>>
>> 3.I have learnt only the basics with NONMEM; I have used WIN NONLIN in the 
>> past - recently I have added their WIN-NLME pop PK software to my 
>> subscriptions – should I use both NONMEM and NLME to run results ? would 
>> there be differences? I suspected that NLME may be easier for novice and 
>> students to catch up during short-student rotations to run simulations then 
>> to learn NONMEM on a 4 week rotation. Any opinions?
>>
> For simple popPK problems I don't think there is really much difference in 
> ease of use between NONMEM and Phoenix NLME. A NM-TRAN control stream is 
> probably simpler to learn how to write for this kind of very simple PK 
> problem rather than dealing with the layers of the Phoenix GUI. Phoenix 
> graphics are better than NONMEM but there are many ways to make graphs from 
> NONMEM using other tools such as Xpose. There won't be any important 
> differences in the results.
>
> If you have a NM-TRAN control stream or Phoenix NLME workflow set up then as 
> you add more data and want students on rotation to learn the basics of popPK 
> then running the model again is only a matter of seconds. The real time 
> required is learning the principles of PK models and population analysis and 
> how to interpret the results. Software run times are negligible compared with 
> that.
>
>> Thank you in advance for your help.
>>
>> Winnie
>>
>> Winnie Seto, BScPhm, PharmD, MSc, ACPR, R.Ph.
>>
>> Therapeutic Drug Monitoring Coordinator & Critical Care Unit Pharmacist
>>
>> Clinical Manager
>>
>> Department of Pharmacy
>>
>> The Hospital for Sick Children
>>
>> 555 University Avenue
>>
>> Toronto, Ontario
>>
>> Canada M5G 1X8
>>
>> phone: 416-813-6236
>>
>> fax: 416-813-5880
>>
>> Confidentiality Notice: This is a medical communication. This e-mail 
>> message, including any attachments, is for the sole use of the intended 
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>>
>> Any unauthorized review, use, copying, saving, re-transmission, disclosure 
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>>
>>
>> ------------------------------------------------------------------------
>>
>> This e-mail may contain confidential, personal and/or health 
>> information(information which may be subject to legal restrictions on use, 
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>
> --
> Nick Holford, Professor Clinical Pharmacology
> Dept Pharmacology & Clinical Pharmacology, Bldg 503 Room 302A
> University of Auckland,85 Park Rd,Private Bag 92019,Auckland,New Zealand
> office:+64(9)923-6730 mobile:NZ +64(21)46 23 53
> email: [email protected]
> http://holford.fmhs.auckland.ac.nz/
>
> Holford NHG. Disease progression and neuroscience. Journal of 
> Pharmacokinetics and Pharmacodynamics. 2013;40:369-76 
> http://link.springer.com/article/10.1007/s10928-013-9316-2
> Holford N, Heo Y-A, Anderson B. A pharmacokinetic standard for babies and 
> adults. J Pharm Sci. 2013: 
> http://onlinelibrary.wiley.com/doi/10.1002/jps.23574/abstract
> Holford N. A time to event tutorial for pharmacometricians. CPT:PSP. 2013;2: 
> http://www.nature.com/psp/journal/v2/n5/full/psp201318a.html
> Holford NHG. Clinical pharmacology = disease progression + drug action. 
> British Journal of Clinical Pharmacology. 2013: 
> http://onlinelibrary.wiley.com/doi/10.1111/bcp.12170/abstract
>
>


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