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 CHA2DS2-VASc score. We investigated if systemic atherosclerosis as detected by ultrasound carotid plaque (CP) could improve the predictive value of the CHA2DS2-VASC score. Methods: We analysed data from the ARAPACIS study, an observational study including 2027 Ialian patents 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% patents. 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 events were 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 pedictive value of CHA2DS2-VASc score for stroke.
Carotid plaque detection improves the predictve value of CHA2DS2-VASc score in patients with non-valvular atrial fibrilation: The ARAPACIS Study / Basili, S., Loffredo, L., Pastori, D., Proieti, M., Farcomeni, A., Vesti, A.R., Pignatelli, P., Davi, 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., et al.. - In: INTERNATIONAL JOURNAL OF CARDIOLOGY. - ISSN 0167-5273. - 231:(2017), pp. 143-149. [10.1016/j.ijcard.2017.01.001]
Carotid plaque detection improves the predictve value of CHA2DS2-VASc score in patients with non-valvular atrial fibrilation: The ARAPACIS Study
Carulli L.;Bertolotti M.;Mussi C.;Buzzetti E.;
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 CHA2DS2-VASc score. We investigated if systemic atherosclerosis as detected by ultrasound carotid plaque (CP) could improve the predictive value of the CHA2DS2-VASC score. Methods: We analysed data from the ARAPACIS study, an observational study including 2027 Ialian patents 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% patents. 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 events were 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 pedictive value of CHA2DS2-VASc score for stroke.| File | Dimensione | Formato | |
|---|---|---|---|
|
1-s2.0-S0167527316332429-main.pdf
Accesso riservato
Tipologia:
VOR - Versione pubblicata dall'editore
Dimensione
326.68 kB
Formato
Adobe PDF
|
326.68 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate

I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris




