Abstract
Abstract Background Although the left atrioventricular coupling index (LACI) measured by cardiovascular magnetic resonance (CMR) is a strong predictor of cardiovascular events, the availability to CMR remains limited in clinical routine. Therefore, it would be useful to validate LACI assessment using other imaging methods such as computed tomography (CT). However, the feasibility of LACI measurement using cardiac CT and its prognostic value are not established. Purpose We aimed to investigate the prognostic value of the LACI assessed by cardiac CT, to predict the occurrence of cardiovascular death in consecutive patients without known CVD referred for coronary CT angiography (CCTA). Methods Between 2010 and 2020, we conducted a single-center study with all consecutive patients without known CVD referred for CCTA. LACI was defined as the ratio of LA to LV end-diastolic volumes. The primary outcome was cardiovascular death. Cox regressions were used to evaluate the association of LACI with the primary outcome after adjustment for traditional risk factors and CCTA findings. Results In 1,444 patients (70±12 years, 43% men), 92 (6.4%) patients experienced all-cause death, including 67 (4.3%) patients with cardiovascular death after a median (IQR) follow-up of 6.8 (5.9-9.1) years. After adjustment for risk factors and CCTA findings, LACI was positively associated with the occurrence of cardiovascular death (adjusted hazard ratio [HR], 1.07 [95% CI, 1.05-1.09] per 1% increment, p<0.001), and all-cause death (adjusted HR, 1.05 [95% CI, 1.03-1.07] per 1% increment, p<0.001). After adjustment, a LACI ≥25% showed the best improvement in model discrimination and reclassification above traditional risk factors and CCTA findings (C-statistic improvement: 0.27; NRI=0.826; IDI=0.209, all p<0.001; LR-test p<0.001). Conclusions LACI measured by CCTA is independently associated with cardiovascular death and all-cause death in patients without known CVD referred for CCTA, with an incremental prognostic value over traditional risk factors and CCTA findings.LACI measurement using CCTASurvival curves stratified by LACI value
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