2010
DOI: 10.1111/j.1365-2885.2009.01139.x
|View full text |Cite
|
Sign up to set email alerts
|

Patient variation in veterinary medicine: part I. Influence of altered physiological states

Abstract: Martinez, M., Modric, S. Patient variation in veterinary medicine: part I. Influence of altered physiological states. J. vet. Pharmacol. Therap.33, 213–226. In veterinary medicine, the characterization of a drug’s pharmacokinetic (PK) properties is generally based upon data that are derived from studies that employ small groups of young healthy animals, often of a single breed. These are also the data from which population predictions are often generated to forecast drug exposure characteristics in the target … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
47
0

Year Published

2012
2012
2024
2024

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 45 publications
(49 citation statements)
references
References 161 publications
2
47
0
Order By: Relevance
“…[43][44][45][46] The variability in perfusion data for the clinically normal dogs in the present study would likely be exceeded in a clinical setting, in which dogs would likely vary much more in cardiovascular characteristics such as cardiac output, vascular tone, hydration, and other factors affecting end-organ perfusion data. The smaller-sized dogs typically had shorter intervals to contrast medium arrival and TPIs than the medium-sized dogs, which could have been caused by differences in blood volume, minute volume, blood pressure, heart rate, or length of microbubble travel from the site of injection to the area of imaging.…”
Section: Discussionmentioning
confidence: 93%
“…[43][44][45][46] The variability in perfusion data for the clinically normal dogs in the present study would likely be exceeded in a clinical setting, in which dogs would likely vary much more in cardiovascular characteristics such as cardiac output, vascular tone, hydration, and other factors affecting end-organ perfusion data. The smaller-sized dogs typically had shorter intervals to contrast medium arrival and TPIs than the medium-sized dogs, which could have been caused by differences in blood volume, minute volume, blood pressure, heart rate, or length of microbubble travel from the site of injection to the area of imaging.…”
Section: Discussionmentioning
confidence: 93%
“…To determine optimal dosing and treatment intervals necessary to ensure adequate tissue concentrations for clinical efficacy, further studies combining pharmacodynamics with pharmacokinetics and safety trials in llamas are recommended. In addition, various stressors such as disease, inflammation, pregnancy, and lactation have all been shown to affect the pharmacokinetics of medications [28], thus the data reported here may not reflect exact PK parameters in diseased states. Alternative dosing strategies may also be necessary to achieve appropriate levels of therapy for all targeted outcomes (pain relief, fever reduction, decrease in inflammation, or protection against the effects of endotoxin).…”
Section: Discussionmentioning
confidence: 99%
“…Martinez and Modric () have pointed out that ‘when PK data are generated in small groups of normal healthy animals, it is often assumed that these data represent the drug's PK characteristics across the intended patient population'. The statement of Martinez and Modric highlights the importance to extrapolate PK data derived from young healthy animals to older and possibly diseased populations of animals with great caution.…”
Section: Preclinical and Population Pharmacokineticsmentioning
confidence: 99%