Department of Neurology, Tufts Medical Center/Tufts University School of Medicine, Boston, MA, USA.
Int J Stroke. 2013 Dec;8(8):612-9. doi: 10.1111/j.1747-4949.2012.00843.x. Epub 2012 Aug 9.
Detecting a benefit from closure of patent foramen ovale in patients with cryptogenic stroke is hampered by low rates of stroke recurrence and uncertainty about the causal role of patent foramen ovale in the index event. A method to predict patent foramen ovale-attributable recurrence risk is needed. However, individual databases generally have too few stroke recurrences to support risk modeling. Prior studies of this population have been limited by low statistical power for examining factors related to recurrence.
The aim of this study was to develop a database to support modeling of patent foramen ovale-attributable recurrence risk by combining extant data sets.
We identified investigators with extant databases including subjects with cryptogenic stroke investigated for patent foramen ovale, determined the availability and characteristics of data in each database, collaboratively specified the variables to be included in the Risk of Paradoxical Embolism database, harmonized the variables across databases, and collected new primary data when necessary and feasible.
The Risk of Paradoxical Embolism database has individual clinical, radiologic, and echocardiographic data from 12 component databases, including subjects with cryptogenic stroke both with (n = 1925) and without (n = 1749) patent foramen ovale. In the patent foramen ovale subjects, a total of 381 outcomes (stroke, transient ischemic attack, death) occurred (median follow-up 2·2 years). While there were substantial variations in data collection between studies, there was sufficient overlap to define a common set of variables suitable for risk modeling.
While individual studies are inadequate for modeling patent foramen ovale-attributable recurrence risk, collaboration between investigators has yielded a database with sufficient power to identify those patients at highest risk for a patent foramen ovale-related stroke recurrence who may have the greatest potential benefit from patent foramen ovale closure.
卵圆孔未闭(PFO)在隐源性卒中患者中的获益检测受到卒中复发率低和 PFO 在首发事件中因果关系的不确定性的阻碍。需要一种方法来预测 PFO 归因复发风险。然而,个体数据库通常卒中复发的数量太少,无法支持风险建模。先前对该人群的研究因与复发相关的因素的检验统计效能低而受到限制。
本研究旨在建立一个数据库,通过合并现有的数据集来支持 PFO 归因复发风险的建模。
我们确定了具有包含隐源性卒中患者 PFO 研究的现有数据库的研究人员,确定了每个数据库中数据的可用性和特征,共同指定了将包含在“反常栓塞风险”数据库中的变量,协调了数据库之间的变量,并在必要且可行时收集新的原始数据。
“反常栓塞风险”数据库包含来自 12 个组成数据库的个体临床、影像学和超声心动图数据,包括有(n=1925)和无(n=1749)PFO 的隐源性卒中患者。在 PFO 患者中,共发生 381 例结局(卒中、短暂性脑缺血发作、死亡)(中位随访 2.2 年)。虽然研究之间的数据收集存在很大差异,但重叠程度足以定义适合风险建模的一组共同变量。
虽然单个研究不足以对 PFO 归因复发风险进行建模,但研究人员之间的合作产生了一个具有足够效能的数据库,可以识别那些具有最高 PFO 相关卒中复发风险的患者,这些患者可能从 PFO 关闭中获益最大。