Université Paris Cité, Department of Cardiology, Hôpital Lariboisière - APHP, Inserm UMRS 942, 75010, Paris, France; Université Paris Cité, Department of Radiology, Hôpital Lariboisière - APHP, 75010, Paris, France.
Université Paris Cité, Department of Cardiology, Hôpital Lariboisière - APHP, Inserm UMRS 942, 75010, Paris, France.
Diagn Interv Imaging. 2023 Dec;104(12):594-604. doi: 10.1016/j.diii.2023.06.009. Epub 2023 Jun 21.
The purpose of this study was to investigate the prognostic value of left atrioventricular coupling index (LACI) assessed by cardiac computed tomography (CT), to predict cardiovascular death in consecutive patients referred for cardiac CT with coronary analysis.
Between 2010 and 2020, we conducted a single-centre study with all consecutive patients without known cardiovascular disease referred for cardiac CT. LACI was defined as the ratio of left atrial to left ventricle end-diastolic volumes. The primary outcome was cardiovascular death. Cox regressions were used to evaluate the association between LACI and primary outcome after adjustment for traditional risk factors and cardiac CT angiography findings.
In 1,444 patients (mean age, 70 ± 12 [standard deviation] years; 43% men), 67 (4.3%) patients experienced cardiovascular death after a median follow-up of 6.8 (Q1, Q3: 5.9, 9.1) years. After adjustment, 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 for predicting cardiovascular death above traditional risk factors and cardiac CT findings (C-statistic improvement: 0.27; Nnet reclassification improvement = 0.826; Integrative discrimination index =0.209, all P < 0.001; likelihood-ratio-test, P < 0.001).
LACI measured by cardiac CT is independently associated with cardiovascular death and all-cause death in patients without known cardiovascular disease referred for cardiac CT, with an incremental prognostic value over traditional risk factors and cardiac CT findings.
本研究旨在通过心脏 CT 评估左房室耦联指数(LACI),以预测连续因心脏 CT 加冠状动脉分析而就诊的患者的心血管死亡。
在 2010 年至 2020 年期间,我们对所有因心脏 CT 而就诊的、无已知心血管疾病的连续患者进行了一项单中心研究。LACI 定义为左心房与左心室舒张末期容积之比。主要结局为心血管死亡。Cox 回归用于评估 LACI 与主要结局之间的关联,调整了传统危险因素和心脏 CT 血管造影结果。
在 1444 例患者(平均年龄 70±12[标准差]岁,43%为男性)中,67 例(4.3%)患者在中位随访 6.8(Q1,Q3:5.9,9.1)年后发生心血管死亡。经调整后,LACI 与心血管死亡的发生呈正相关(调整后的危险比[HR],每增加 1%为 1.07[95%CI:1.05-1.09];P<0.001),全因死亡(调整后的 HR,每增加 1%为 1.05[95%CI:1.03-1.07];P<0.001)。经调整后,LACI≥25%在预测心血管死亡方面优于传统危险因素和心脏 CT 结果,可改善模型的区分度和再分类(C 统计量改善:0.27;Nnet 再分类改善=0.826;综合鉴别指数=0.209,所有 P<0.001;似然比检验,P<0.001)。
在因心脏 CT 而就诊的无已知心血管疾病患者中,LACI 与心血管死亡和全因死亡独立相关,其预测价值优于传统危险因素和心脏 CT 结果。