The risk of paradoxical embolism (RoPE) study: initial description of the completed database.
The risk of paradoxical embolism (RoPE) study: initial description of the completed database.
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DOI:
10.1111/j.1747-4949.2012.00843.x
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发表时间:
2013-12
期刊:
影响因子:
--
通讯作者:
Kent DM
中科院分区:
文献类型:
--
作者:
Thaler DE;Di Angelantonio E;Di Tullio MR;Donovan JS;Griffith J;Homma S;Jaigobin C;Mas JL;Mattle HP;Michel P;Mono ML;Nedeltchev K;Papetti F;Ruthazer R;Serena J;Weimar C;Elkind MS;Kent DM
Detecting a benefit from closure of patent foramen ovale (PFO) in patients with cryptogenic stroke (CS) is hampered by low rates of stroke recurrence and uncertainty about the causal role of PFO in the index event. A method to predict PFO-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. To develop a database to support modeling of PFO-attributable recurrence risk by combining extant data sets. We identified investigators with extant databases including subjects with CS investigated for PFO; determined the availability and characteristics of data in each database; collaboratively specified the variables to be included in the Risk of Paradoxical Embolism (RoPE) database; harmonized the variables across databases, and collected new primary data when necessary and feasible. The RoPE database has individual clinical, radiologic, and echocardiographic data from 12 component databases including subjects with CS both with (n=1925) and without (n=1749) PFO. In the PFO subjects, a total of 381 outcomes (stroke, TIA, death) occurred (median follow-up = 2.2yrs). 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 PFO-attributable recurrence risk, collaboration between investigators has yielded a database with sufficient power to identify those patients at highest risk for a PFO-related stroke recurrence who may have the greatest potential benefit from PFO closure.
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影响因子:
8.3
作者:
Alsheikh-Ali, Alawi A.;Thaler, David E.;Kent, David M.
通讯作者:
Kent, David M.
影响因子:
2.8
作者:
De Castro, Stefano;Papetti, Federica;Toni, Danilo
通讯作者:
Toni, Danilo
影响因子:
4.8
作者:
Marshall, AC;Lock, JE
通讯作者:
Lock, JE
影响因子:
8.3
作者:
Kent, David M.;Thaler, David E.
通讯作者:
Thaler, David E.
影响因子:
3
作者:
Casaubon, Leanne;McLaughlin, Peter;Jaigobin, Cheryl
通讯作者:
Jaigobin, Cheryl