Background and aims: Vascular disease (VD), as assessed by history of myocardial infarction or peripheral artery disease or aortic plaque, increases stroke risk in atrial fibrillation (AF), and is a component of risk assessment using the CHA(2)DS(2)-VASc score. We investigated if systemic atherosclerosis as detected by ultrasound carotid plaque (CP) could improve the predictive value of the CHA(2)DS(2)-VASc score.Methods: We analysed data from the ARAPACIS study, an observational study including 2027 Italian patients with non-valvular AF, in whom CP was detected using Doppler Ultrasonography.Results: VD was reported in 351 (17.3%) patients while CP was detected in 16.6% patients. Adding CP to the VD definition leaded to higher VD prevalence (30.9%). During a median [IQR] follow-up time of 36 months, 56 (2.8%) stroke/TIA eventswere recorded. Survival analysis showed that conventional VD alone did not increase the risk of stroke (Log-Rank: 0.009, p = 0.924), while addition of CP to conventional VD was significantly associated to an increased risk of stroke (LR: 5.730, p = 0.017). Cox regression analysis showed that VD + CP was independently associated with stroke (HR: 1.78, 95% CI: 1.05-3.01, p = 0.0318). Reclassification analysis showed that VD + CP allowed a significant risk reclassification when compared to VD alone in predicting stroke at 36 months (NRI: 0.192, 95% CI: 0.028-0.323, p = 0.032).Conclusions: In non-valvular AF patients the addition of ultrasound detection of carotid plaque to conventional VD significantly increases the predictive value of CHA(2)DS(2)-VASc score for stroke. (C) 2017 Published by Elsevier Ireland Ltd.

Carotid plaque detection improves the predictve value of CHA2DS2-VASc score in patients with non-valvular atrial fibrilation: The ARAPACIS Study

Basili S.;Farcomeni A.;Davì G.;Corazza G. R.;Alessandri C.;De Gennaro L.;Barbagallo M.;Monteverde A.;Pisano M.;Signorelli S.;Galderisi M.;De Luca N.;Iuliano N.;Santini C.;Letizia C.;
2017

Abstract

Background and aims: Vascular disease (VD), as assessed by history of myocardial infarction or peripheral artery disease or aortic plaque, increases stroke risk in atrial fibrillation (AF), and is a component of risk assessment using the CHA(2)DS(2)-VASc score. We investigated if systemic atherosclerosis as detected by ultrasound carotid plaque (CP) could improve the predictive value of the CHA(2)DS(2)-VASc score.Methods: We analysed data from the ARAPACIS study, an observational study including 2027 Italian patients with non-valvular AF, in whom CP was detected using Doppler Ultrasonography.Results: VD was reported in 351 (17.3%) patients while CP was detected in 16.6% patients. Adding CP to the VD definition leaded to higher VD prevalence (30.9%). During a median [IQR] follow-up time of 36 months, 56 (2.8%) stroke/TIA eventswere recorded. Survival analysis showed that conventional VD alone did not increase the risk of stroke (Log-Rank: 0.009, p = 0.924), while addition of CP to conventional VD was significantly associated to an increased risk of stroke (LR: 5.730, p = 0.017). Cox regression analysis showed that VD + CP was independently associated with stroke (HR: 1.78, 95% CI: 1.05-3.01, p = 0.0318). Reclassification analysis showed that VD + CP allowed a significant risk reclassification when compared to VD alone in predicting stroke at 36 months (NRI: 0.192, 95% CI: 0.028-0.323, p = 0.032).Conclusions: In non-valvular AF patients the addition of ultrasound detection of carotid plaque to conventional VD significantly increases the predictive value of CHA(2)DS(2)-VASc score for stroke. (C) 2017 Published by Elsevier Ireland Ltd.
2017
Basili S.; Loffredo L.; Pastori D.; Proieti M.; Farcomeni A.; Vesti A.R.; Pignatelli P.; Davì G.; Hiatt W.R.; Lip G.Y.H.; Corazza G.R.; Perticone F.; Violi F.; Alessandri C.; Serviddio G.; Fascetti S.; Palange P.; Greco E.; Bruno G.; Averna M.; Giammanco A.; Sposito P.; De Cristofaro R.; De Gennaro L.; Carulli L.; Pellegrini E.; Cominacini L.; Mozzini C.; Pasini A.F.; Sprovieri M.; Spagnuolo V.; Cerqua G.; Cerasola G.; Mule G.; Barbagallo M.; Lo Sciuto S.; Monteverde A.; Saitta A.; Lo Gullo A.; Malatino L.; Ciia C.; Terranova V.; Pisano M.; Pinto A.; Di Raimondo D.; Tuttolomondo A.; Conigliaro R.; Signorelli S.; De Palma D.; Galderisi M.; Cudemo G.; Galletti F.; Fazio V.; De Luca N.; Meccariello A.; Caputo D.; De Donato M.T.; Iannuzi A.; Bresciani A.; Giunta R.; Utili R.; Iorio V.; Adinolfi L.E.; Sellitto C.; Iuliano N.; Bellis P.; Tirelli P.; Sacerdoti D.; Vanni D.; Iuliano L.; Ciacciarelli M.; Pacelli A.; Palazzuoli A.; Cacciafesta M.; Gueli N.; Lo Iacono G.; Brusco S.; Verrusio W.; Nobili L.; Tarquinio N.; Pellegrini F.; Vincentelli G.M.; Ravallese F.; Santini C.; Letizia C.; Petramala L.; Zinnamosca L.; Minisola S.; Cilli M.; Savoriti C.; Colangelo L.; Falaschi P.; Martocchia A.; Pastore F.; Bertazzoni G.; Attalla El Halabieh E.; Paradiso M.; Lizzi E.M.; Timmi S.; Battisti P.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/957407
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