100640
论文已发表
提 交 论 文
注册即可获取Ebpay生命的最新动态
注 册
IF 收录期刊
- 3.3 Breast Cancer (Dove Med Press)
- 3.4 Clin Epidemiol
- 2.5 Cancer Manag Res
- 2.9 Infect Drug Resist
- 3.5 Clin Interv Aging
- 4.7 Drug Des Dev Ther
- 2.7 Int J Chronic Obstr
- 6.6 Int J Nanomed
- 2.5 Int J Women's Health
- 2.5 Neuropsych Dis Treat
- 2.7 OncoTargets Ther
- 2.0 Patient Prefer Adher
- 2.3 Ther Clin Risk Manag
- 2.5 J Pain Res
- 2.8 Diabet Metab Synd Ob
- 2.8 Psychol Res Behav Ma
- 3.0 Nat Sci Sleep
- 1.8 Pharmgenomics Pers Med
- 2.7 Risk Manag Healthc Policy
- 4.2 J Inflamm Res
- 2.1 Int J Gen Med
- 4.2 J Hepatocell Carcinoma
- 3.7 J Asthma Allergy
- 1.9 Clin Cosmet Investig Dermatol
- 2.7 J Multidiscip Healthc
已发表论文
地高辛计算浓度的个人剂量效率
Authors Zhao L, Yang P, Li PM, Wang XX, Qin WJ, Zhang XL
Published Date July 2014 Volume 2014:9 Pages 1205—1210
DOI http://dx.doi.org/10.2147/CIA.S63596
Received 5 March 2014, Accepted 30 April 2014, Published 22 July 2014
Background: Digoxin is a frequently prescribed drug, particularly in the elderly population, in which there is an increased prevalence of atrial fibrillation and cardiac failure. With its complex pharmacokinetic profile and narrow therapeutic index, use of digoxin requires regular monitoring of blood levels. Recent evidence suggests that a lower concentration range (0.4–1.0 ng/mL) is preferable in patients with congestive heart failure and a higher range (0.8–2.0 ng/mL) is needed in patients with atrial tachyarrhythmia. The Konishi equation is widely used to predict the serum digoxin concentration (SDC) in Japan. This study assessed the correlation between SDC predicted by the Konishi equation and that actually measured in Chinese patients and investigated the impact of renal function on SDC.
Methods: The study subjects comprised 72 patients with cardiac failure or/and atrial tachyarrhythmia seen at our hospital from January 2012 to December 2013. The patients were divided into five groups according to Kidney Diseases Outcome Quality Initiative guidelines. SDCs were measured using the Abbott Architect i1000 immunology analyzer. The correlations between measured SDCs and calculated SDCs and between clearance of digoxin and creatinine clearance rate were assessed retrospectively.
Results: The correlation between measured and predicted SDC calculated by the Konishi equation was significant (r =0.655, P <0.001) for the 72 patients overall; however, correlations within the different stages of renal function were nonsignificant, with a correlation found only in patients with stage 3 (30 mL per minute < creatinine clearance <60 mL per minute). With regard to the correlation between clearance of digoxin and creatinine clearance, our results show that although there was a significant correlation between clearance of digoxin and creatinine clearance in the group overall, correlations were not evident within the different stages of renal function.
Conclusion: The results of this study indicate that clearance of digoxin and the creatinine clearance rate cannot be explained by renal function alone and that the validity of the Konishi equation for individualizing the digoxin dosage in Chinese patients is limited, being applicable only in stage 3 renal disease. Further research in larger numbers of patients across all stages of renal function will be required in the future to verify the original Konishi model.
Keywords: serum digoxin concentration, predicted concentration, renal insufficiency
Methods: The study subjects comprised 72 patients with cardiac failure or/and atrial tachyarrhythmia seen at our hospital from January 2012 to December 2013. The patients were divided into five groups according to Kidney Diseases Outcome Quality Initiative guidelines. SDCs were measured using the Abbott Architect i1000 immunology analyzer. The correlations between measured SDCs and calculated SDCs and between clearance of digoxin and creatinine clearance rate were assessed retrospectively.
Results: The correlation between measured and predicted SDC calculated by the Konishi equation was significant (r =0.655, P <0.001) for the 72 patients overall; however, correlations within the different stages of renal function were nonsignificant, with a correlation found only in patients with stage 3 (30 mL per minute < creatinine clearance <60 mL per minute). With regard to the correlation between clearance of digoxin and creatinine clearance, our results show that although there was a significant correlation between clearance of digoxin and creatinine clearance in the group overall, correlations were not evident within the different stages of renal function.
Conclusion: The results of this study indicate that clearance of digoxin and the creatinine clearance rate cannot be explained by renal function alone and that the validity of the Konishi equation for individualizing the digoxin dosage in Chinese patients is limited, being applicable only in stage 3 renal disease. Further research in larger numbers of patients across all stages of renal function will be required in the future to verify the original Konishi model.
Keywords: serum digoxin concentration, predicted concentration, renal insufficiency
Download Article[PDF]
