Predicting Stroke Risk in Patients With Atrial Fibrillation
Author(s) -
Daniel G. Hackam
Publication year - 2007
Publication title -
stroke
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.397
H-Index - 319
eISSN - 1524-4628
pISSN - 0039-2499
DOI - 10.1161/strokeaha.107.488114
Subject(s) - atrial fibrillation , medicine , stroke (engine) , cardiology , biostatistics , statistic , concordance , risk stratification , receiver operating characteristic , epidemiology , emergency medicine , statistics , mechanical engineering , mathematics , engineering
See related article, pages 2459–2463. Predicting which patients with atrial fibrillation will have a stroke or systemic embolic event is not an easy task. In this issue of Stroke , Lawrence Baruch and colleagues retrospectively compared 7 risk stratification schemes in a large clinical trial–based program of patients with atrial fibrillation (the Stroke Prevention using an ORal Thrombin Inhibitor in atrial Fibrillation [SPORTIF] III and IV studies).1 As assessed by the concordance (or C ) statistic, which measures the area under a test’s receiver-operating characteristic curve, all prediction schemes performed rather modestly, with the best C statistic belonging to the CHADS2 scheme ( C =0.65).At first glance, these data might suggest caution regarding the use of formal risk stratification schemes to predict stroke in …
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom