Nosso grupo organiza mais de 3.000 Séries de conferências Eventos todos os anos nos EUA, Europa e outros países. Ásia com o apoio de mais 1.000 Sociedades e publica mais de 700 Acesso aberto Periódicos que contém mais de 50.000 personalidades eminentes, cientistas de renome como membros do conselho editorial.

Periódicos de acesso aberto ganhando mais leitores e citações
700 periódicos e 15 milhões de leitores Cada periódico está obtendo mais de 25.000 leitores

Abstrato

Population Pharmacokinetics and Optimization of the Dosing Regimen of Digoxin in Adult Patients

Toshiaki Komatsu, Mami Morita, Futaba Miyaji, Takayuki Inomata, Junya Ako and Koichiro Atsuda

Background Lanoxin is wide prescribed for the treatment of symptom cardiopathy and cardiac arrhythmia. healing drug observation of Lanoxin is suggested due to its slender healing vary. previous research have reportable many equations and nomograms to alternate physicians to work out the desirable dose of Lanoxin for character sufferers. moreover, populace pharmacokinetic information imply that clearance of Lanoxin is encouraged by demographic variables like age, overall weight, and blood serum creatinine stages. however, population materia medica has now not been studied up to now to judge the impact of concomitant administration of medication like amiodarone, verapamil, and tolvaptan on relative Lanoxin clearance. currently, the therapeutic range for Lanoxin in patients with cardiopathy with a traditional sinus rhythm has been revised to a low and slender vary (0.5-zero.eight ng/mL) supported the findings from the digitalis investigation cluster trial. for the duration of this look at, we generally tend to aimed to investigate the populace materia medica of Lanoxin in the presence of concomitant management of various medication. what's extra, we generally tend to decided preliminary dosing regimens to attain concentrations (0.five-zero.8 ng/mL) in step with our population pharmacokinetic information.

Isenção de responsabilidade: Este resumo foi traduzido usando ferramentas de inteligência artificial e ainda não foi revisado ou verificado.