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 NameCongestive heart failure/LV dysfunction, Hypertension, Age, Diabetes mellitus, Stroke/TIA/TE, Vascular disease, Age, Sex category (CHA2DS2-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 ConditionN/A
OutcomeSystemic Embolization
Model Sample Size1577
Cohort Sample Size1577
Number of EventsNR
Follow-Up DurationLong (>6 months)
AUROC0.606
Calibration Reported1
CovariatesCongestive heart failure/LV dysfunction; Hypertension; Age >=75 y; Diabetes mellitus; Stroke/TIA/TE; Vascular disease (prior MI, peripheral artery disease, or aortic plaque); Age 65-74 y; Sex category (female gender)
Mesh TermsTo be updated
Number of Validations45

External Validations

Yes
45
0.658
1st Author Year Sample Size AUC Calibration Relatedness
Koene 2014 173 NR No Mismatch
Gorman 2016 105 0.45 No Mismatch
Due Anderson 2015 42182 0.52 No Mismatch
Siu 2014 9727 0.525 No Distantly Related
Conti 2016 589 0.57 No Mismatch
Piccini 2013 14171 0.578 No Related
Bautista 2015 426 0.579 No Related
Coppens 2013 4670 0.587 No Related
Boczar 2016 223 0.597 No Mismatch
Svendsen 2013 1415 0.6 No Mismatch
Lau 2014 607 0.601 No Distantly Related
Bautista 2015 524 0.602 No Related
Saliba 2016 46657 0.610 No Distantly Related
Garcia-Fernandez 2017 1215 0.61 No Distantly Related
Xing 2016 413 0.615 No Related
Shih 2016 77397 0.622 No Distantly Related
Bautista 2015 98 0.623 No Related
Alvarez-Alvarez 2014 4229 0.63 No Mismatch
Obokata 2014 82 0.64 No Mismatch
Peguero 2016 2263 0.64 No Mismatch
Welles 2011 916 0.64 No Mismatch
Philippart 2015 8053 0.655 No Distantly Related
Barra 2013 294 0.655 Yes Distantly Related
Olesen 2011 73538 0.661 No Related
Wallentin 2014 14798 0.667 No Related
Lin 2011 7920 0.669 No Distantly Related
van Staa 2011 79844 0.67 No Distantly Related
Wu 2017 1046 0.671 No Mismatch
van den Ham 2015 60594 0.68 No Related
Chan 2014 579 0.68 No Mismatch
Singer 2013 25306 0.68 No Related
Chao 2016 124271 0.689 No Related
Abumuaileq 2015 154 0.69 No Related
Kinnunen 2015 1314 0.693 No Mismatch
Chao 2014 186570 0.698 No Distantly Related
Singer 2013 10927 0.7 No Related
Chua 2014 3183 0.7 No Mismatch
Kwon 2016 1222 0.701 No Distantly Related
Saliba 2016 1053871 0.714 No Mismatch
Potpara 2012 345 0.72 No Distantly Related
Abumuaileq 2015 911 0.72 No Distantly Related
Hornero 2012 2910 0.725 Yes Mismatch
Hudzik 2016 472 0.75 No Mismatch
Wang 2015 141 0.808 No Distantly Related
Potpara 2014 240 0.932 No Mismatch