Rosendaal F R, Cannegieter S C, van der Meer F J, Briët E
Department of Clinical Epidemiology, University Hospital Leiden, The Netherlands.
Thromb Haemost. 1993 Mar 1;69(3):236-9.
Oral anticoagulant therapy has been shown to be effective for several indications. The optimal intensity of anticoagulation for each indication, however, is largely unknown. To determine this optimal intensity, randomised clinical trials are conducted in which two target levels of anticoagulation are compared. This approach is inefficient, since the choice of the target levels will be arbitrary. Moreover, the achieved intensity is not taken into account. We propose a method to determine the optimal achieved intensity of anticoagulation. This method can be applied within a clinical trial as an "efficacy-analysis", but also on data gathered in day-to-day patient care. In this method, INR-specific incidence rates of events, either thromboembolic or hemorrhagic, are calculated. The numerator of the incidence rate is based on data on the INR at the time of the event. The denominator consists of the person-time at each INR value, summed over all patients, and is calculated from all INR measurements of all patients during the follow-up interval. This INR-specific person-time is calculated with the assumption of a linear increase or decrease between two consecutive INR determinations. Since the incidence rates may be substratified on covariates, efficient assessment of the effects of other factors (e.g. age, sex, comedication) by multivariate regression analysis becomes possible. This method allows the determination of the optimal pharmacological effects of anticoagulation, which can form a rational starting point for choosing the target levels in subsequent clinical trials.
口服抗凝治疗已被证明对多种适应症有效。然而,每种适应症的最佳抗凝强度在很大程度上尚不清楚。为了确定这种最佳强度,进行了随机临床试验,比较了两个抗凝目标水平。这种方法效率低下,因为目标水平的选择将是任意的。此外,所达到的强度未被考虑在内。我们提出了一种确定抗凝最佳达到强度的方法。这种方法既可以在临床试验中作为“疗效分析”应用,也可以应用于日常患者护理中收集的数据。在这种方法中,计算特定国际标准化比值(INR)的血栓栓塞或出血事件发生率。发生率的分子基于事件发生时的INR数据。分母由每个INR值的人时组成,对所有患者求和,并根据随访期间所有患者的所有INR测量值计算得出。这种特定INR的人时是在假设两个连续INR测定值之间呈线性增加或减少的情况下计算得出的。由于发生率可以根据协变量进行分层,因此通过多变量回归分析有效评估其他因素(如年龄、性别、合并用药)的影响成为可能。这种方法可以确定抗凝的最佳药理效果,这可以为后续临床试验中选择目标水平提供合理的起点。