HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Toxicokinetic-toxicodynamic models describing the relation of plasma and red blood cell potassium with plasma digitalis in acute human digitalis poisoning.

Abstract
Toxicity of cardiac glycosides involves the inhibition of the Na(+)-K(+) ATPase pump. As a consequence, extracellular K(+) concentration rises and intracellular K(+) concentration strongly decreases. Red blood cell (RBC) K(+) is a practical marker of ATPase inhibition. In a group of 15 patients intoxicated by digitoxin and lanatoside C, correlations between the calculated digitoxin ingested dose or plasma digitoxin levels and the kinetics of plasma K(+) and RBC K(+) have been assessed using kinetic-effect modelling. A correlation between the calculated ingested dose of digitoxin with RBC K(+) was found (r = 0.64). A direct relation based on the linear model fitted the relation between extracellular K(+) and digitalis concentration. An indirect relation based on the Emax sigmoid model fitted the relation between RBC K(+) and digitoxin concentrations. Specific parameters were obtained from the linear model with a = 0.0196 +/- 0.0272 and b = 0.455 +/- 0.035. Specific parameters were derived from the Emax sigmoid model with k(eo) = 0.0139 +/- 0.0052/hr and EC(50) = 91.95 +/- 20.55 ng/ml, where k(eo) = first-order rate constant of the disappearance of the toxic effect and EC(50) = digitoxin concentration decreasing the RBC K(+) concentration by 50%. These data showed that the in vitro assays of plasma K(+) and RBC K(+) are convenient and predictive assays for evaluating the severity of human digitoxin poisoning.
AuthorsM Urtizberea, M Rochdi, F J Baud, J M Scherrmann
JournalToxicology in vitro : an international journal published in association with BIBRA (Toxicol In Vitro) Vol. 4 Issue 4-5 Pg. 526-31 ( 1990) ISSN: 0887-2333 [Print] England
PMID20702226 (Publication Type: Journal Article)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: