Murray L, Squire I B, Reid J L, Lees K R
University of Glasgow, Department of Medicine and Therapeutics, Gardiner Institute, Western Infirmary, Scotland.
Br J Clin Pharmacol. 1998 Jun;45(6):559-66. doi: 10.1046/j.1365-2125.1998.00728.x.
To investigate the relationship in patients with heart failure between BP response to the first dose of ACE inhibitor and (1) plasma drug concentration and (2) baseline clinical and laboratory variables.
We studied individual placebo-corrected BP responses to initiation of treatment with one of a number ACE inhibitor preparations in 132 patients with mild to moderate CHF. Various pharmacokinetic/pharmacodynamic models were compared. We assessed the strength of association between baseline physiological and laboratory variables and the BP response as assessed directly from the AUC(0,10 h) and indirectly from the slope of the PK/PD relationship. Predictive models for response variables were developing using regression analysis.
BP response was primarily related to plasma drug concentration. The association between the fall in BP and baseline variables was weak. The strongest single predictor of BP response was baseline mean arterial pressure (r2 = 5.8%, P = 0.02). The best combinations of predictor variables contained mean arterial pressure, plasma renin activity, creatinine concentration and age (r2 = 14.4%, P = 0.37). When the choice of ACE inhibitor was added, the predictive power of the model increased (r = 23.6%, P < 0.01) but left the majority of the variability in response unexplained.
The first-dose blood pressure response to ACE inhibition cannot be accurately predicted from baseline pathophysiological variables in patients with mild to moderate CHF. The choice of ACE inhibitor accounts for a small proportion of the variability in response but wide inter-individual variability exists in the response to each treatment.
研究心力衰竭患者中首剂血管紧张素转换酶抑制剂(ACE抑制剂)的血压反应与(1)血浆药物浓度以及(2)基线临床和实验室变量之间的关系。
我们研究了132例轻至中度慢性心力衰竭(CHF)患者使用多种ACE抑制剂制剂之一开始治疗时经安慰剂校正后的个体血压反应。比较了各种药代动力学/药效学模型。我们评估了基线生理和实验室变量与血压反应之间的关联强度,血压反应直接通过AUC(0,10 h)评估,间接通过药代动力学/药效学关系的斜率评估。使用回归分析建立反应变量的预测模型。
血压反应主要与血浆药物浓度相关。血压下降与基线变量之间的关联较弱。血压反应最强的单一预测因素是基线平均动脉压(r2 = 5.8%,P = 0.02)。预测变量的最佳组合包括平均动脉压、血浆肾素活性、肌酐浓度和年龄(r2 = 14.4%,P = 0.37)。当加入ACE抑制剂的选择时,模型的预测能力增加(r = 23.6%,P < 0.01),但仍有大部分反应变异性无法解释。
轻至中度CHF患者的首剂ACE抑制血压反应无法从基线病理生理变量准确预测。ACE抑制剂的选择占反应变异性的一小部分,但每种治疗的反应存在广泛的个体间变异性。