References
Veloso HH. Comment on: “The role of digitalis pharmacokinetics in converting atrial fibrillation and flutter to sinus rhythm”. Clin Pharmacokinet. 2016. doi:10.1007/s40262-016-0380-9.
Jelliffe R. The role of digitalis pharmacokinetics in converting atrial fibrillation and flutter to sinus rhythm. Clin Pharmacokinet. 2014;53:397–407.
Falk R, Knowlton A, Bernard S, Gotlieb N, Battinelli N. Digoxin for converting atrial fibrillation to sinus rhythm: a random double-blinded trial. Ann Int Med. 1987;4:503–6.
Bianconi L, Mennuni M, For the PATIF-3 Investigators. Comparison between propafenone and digoxin administered intravenously to patients with atrial fibrillation. Am J Cardiol. 1998;82:584–8.
Reuning R, Sams R, Notari R. Role of pharmacokinetics in drug dosage adjustment. 1. Pharmacologic effects, kinetics, and apparent volume of distribution of digoxin. J Clin Pharmacol. 1973;13:127–41.
Jelliffe R, Milman M, Schumitzky A, Bayard D, Van Guilder M. A two-compartment population pharmacokinetic–pharmacodynamic model of digoxin in adults, with implications for dosage. Ther Drug Monit. 2014;36(3):387–93.
The USC Pmetrics and RightDose software. The only software with integrated pop modeling, simulation, and maximally precise dosage: Jelliffe R, Schumitzky A, Bayard D, Van Guilder M, Botnen A, Neely M, Thomson A, Bustad A. Laboratory of Applied Pharmacokinetics, USC Keck School of Medicine, Los Angeles (CA). A software demonstration at the Population Approach Group Europe, 11–14 June 2013, Glasgow, Scotland.
D’Argenio D. Optimal sampling times for pharmacokinetic experiments. J Pharmacokinet Biopharmacol. 1981;9:739–56.
Bayard D, Jelliffe R. A Bayesian approach to tracking patients having changing pharmacokinetic parameters. J Pharmacokinet Pharmacodyn. 2004;31(1):75–107.
Macdonald I, Staatz C, Jelliffe R, Thomson A. Evaluation and comparison of simple multiple model, richer data multiple model, and sequential interacting multiple model (IMM) Bayesian analyses of gentamicin and vancomycin data collected from patients undergoing cardiothoracic surgery. Ther Drug Monit. 2008;30:67–74.
Blom H. An efficient filter for abruptly changing systems. In: Proceedings of the 23rd conference on decision and control; Las Vegas (NV); 1984, pp. 656–8.
Blom H, Bar-Shalom Y. The interacting multiple model algorithm for systems with Markovian switching coefficients. IEEE Trans Autom Control. 1988;33:780–3.
Mazor E, Averbuch A, Bar-Shalom Y, Dayan J. Interacting multiple model methods in target tracking: a survey. IEEE Trans Aerosp Electron Syst. 1998;34:103–23.
Doherty J. Digitalis glycosides: pharmacokinetics and their clinical implications. Ann Int Med. 1973;79:229–38.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Funding
No external sources of funding were used in the preparation of this manuscript.
Conflicts of interest
Roger W. Jelliffe has no conflicts of interest that might be relevant to the contents of this manuscript.
Rights and permissions
About this article
Cite this article
Jelliffe, R.W. Author’s reply to Veloso HH Comment on “The Role of Digitalis Pharmacokinetics in Converting Atrial Fibrillation and Flutter to Sinus Rhythm”. Clin Pharmacokinet 55, 637–639 (2016). https://doi.org/10.1007/s40262-016-0381-8
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40262-016-0381-8