Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation

Field Value
Model ID10-005-01
Model NameCHA2DS2-VASc
Pubmed ID19762550
First AuthorLip
JournalChest
Year2010
TitleRefining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation
Primary Index ConditionArrhythmia
Secondary Index ConditionNOS
OutcomeSystemic Embolization
Model Sample Size1577
Cohort Sample SizeTo be updated
Number of EventsTo be updated
Follow-Up DurationLong (>6 months)
AUROC0.606
Calibration Reported1
CovariatesTo be updated
Mesh TermsTo be updated
Number of Validations45

External Validations

Yes
45
0.6475
1st Author Year Sample Size AUC Calibration Relatedness
To be updated To be updated 5333 Not reported To be updated To be updated
To be updated To be updated 42182 0.52 To be updated To be updated
Siu 2014 9727 0.525 No To be updated
To be updated To be updated 6235 0.5468 To be updated To be updated
To be updated To be updated 105 0.55 To be updated To be updated
To be updated To be updated 2600 0.56 To be updated To be updated
Conti 2016 589 0.57 No To be updated
Piccini 2013 14171 0.578 No To be updated
Bautista 2015 426 0.579 No To be updated
Coppens 2013 4670 0.587 No To be updated
To be updated To be updated 379 0.59 To be updated To be updated
Boczar 2016 223 0.597 No To be updated
Svendsen 2013 1415 0.6 No To be updated
Lau 2014 607 0.601 No To be updated
Bautista 2015 524 0.602 No To be updated
Garcia-Fernandez 2017 1215 0.61 No To be updated
Saliba 2016 46657 0.61 No To be updated
Xing 2016 413 0.615 No To be updated
Shih 2016 77397 0.622 No To be updated
Bautista 2015 98 0.623 No To be updated
Alvarez-Alvarez 2014 4229 0.63 No To be updated
Peguero 2016 2263 0.64 No To be updated
To be updated To be updated 82 0.64 To be updated To be updated
Philippart 2015 8053 0.655 No To be updated
Barra 2013 294 0.655 Yes To be updated
Wallentin 2014 14798 0.667 No To be updated
Lin 2011 7920 0.669 No To be updated
Wu 2017 1046 0.671 No To be updated
van den Ham 2015 60594 0.68 No To be updated
Chan 2014 579 0.68 No To be updated
Chao 2016 124271 0.689 No To be updated
Abumuaileq 2015 154 0.69 No To be updated
Kinnunen 2015 1314 0.693 No To be updated
Chao 2014 186570 0.698 No To be updated
Chua 2014 3183 0.7 No To be updated
Kwon 2016 1222 0.701 No To be updated
Saliba 2016 1053871 0.714 No To be updated
Potpara 2012 345 0.72 No To be updated
Abumuaileq 2015 911 0.72 No To be updated
Hornero 2012 2910 0.725 Yes To be updated
Sa 2013 94 0.746 No To be updated
Hudzik 2016 472 0.75 No To be updated
Wang 2015 141 0.808 No To be updated
Olesen 2011 73538 0.85 No To be updated
To be updated To be updated 240 0.932 To be updated To be updated