Department of Cardiology, the First Affiliated Hospital of Xinjiang Medical University, 137 Liyushan South Road, Urumqi, 830054, Xinjiang, China.
State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
BMC Cardiovasc Disord. 2023 Apr 4;23(1):181. doi: 10.1186/s12872-023-03193-z.
The aim of this work was to evaluate the predictive value of FAR combined with CACS for MACCEs.
The fibrinogen-albumin-ratio (FAR), a novel biomarker of inflammation, is associated with the severity of coronary artery disease (CAD). Coronary calcification score (CACS) is associated with the severity of coronary stenosis and is closely related to the prognosis of CAD patients. What is the prognostic value of FAR in patients with chest pain, which has not been reported. This study aims to evaluate the relationship between CACS and FAR and their impact on prognosis in patients with suspected CAD.
We used information from 12,904 individuals who had coronary computed tomography angiography (CTA) for chest pain and tracked down any significant adverse cardiac and cerebrovascular events (MACCEs). The following formula was used to calculate FAR: fibrinogen (g/L)/albumin (g/L). Patients were separated into groups with greater levels of FAR (FAR-H) and lower levels of FAR (FAR-L) in accordance with the ideal cut-off value of FAR for MACCEs prediction. In addition, patients were divided into three groups based on their CACS scores (CACS ≤ 100, 100 < CACS ≤ 400, and CACS > 400).
4946 patients [62(55-71) years, 64.4% male] were ultimately enrolled in the present study. During follow-up, a total of 234 cases (4.7%) of MACCEs were documented. Linear regression analysis results showed that CACS (R2 = 0.004, Standard β = 0.066, P < 0.001) was positively associated with FAR in patients with chest pain.Compared to ones with FAR-L, FAR-H had an increased risk for MACCEs (adjusted HR 1.371(1.053-1.786) P = 0.019). Multivariate Cox regression showed that age (adjusted HR 1.015 95% CI 1.001-1.028;p = 0.03), FAR (adjusted HR 1.355 95% CI 1.042-1.763;p = 0.023),FBG (adjusted HR 1.043 95% CI 1.006-1.083;p = 0.024) and CACS (adjusted HR 1.470 95% CI 1.250-1.727;p < 0.001) were the independent risk factors for MACCEs. The FAR and CACS significantly improved MACCEs risk stratification, contributing to substantial net reclassification improvement ( NRI 0.122, 95% CI 0.054-0.198, P < 0.001) and integrated discrimination improvement(IDI 0.011, 95% CI 0.006-0.017, P < 0.001).
FAR was an independent risk factor for MACCEs. The results showed that CACS was positively associated with FAR in patients with suspected CAD. A higher level of FAR and heavier coronary calcification burden was associated with worse outcomes among patients with suspected CAD. FAR and CACS improved the risk identification of patients with suspected CAD, leading to a significant reclassification of MACCEs.
本研究旨在评估 FAR 联合 CACS 对 MACCEs 的预测价值。
纤维蛋白原-白蛋白比值(FAR)是一种新型炎症标志物,与冠状动脉疾病(CAD)的严重程度相关。冠状动脉钙化评分(CACS)与冠状动脉狭窄的严重程度相关,与 CAD 患者的预后密切相关。但 FAR 在胸痛患者中的预后价值尚未有报道。本研究旨在评估 CACS 和 FAR 之间的关系及其对疑似 CAD 患者预后的影响。
我们使用了 12904 名因胸痛而行冠状动脉计算机断层扫描血管造影(CTA)的个体信息,并追踪了任何重大不良心脏和脑血管事件(MACCEs)。采用以下公式计算 FAR:纤维蛋白原(g/L)/白蛋白(g/L)。根据 FAR 预测 MACCEs 的最佳截断值,将患者分为 FAR 水平较高(FAR-H)和 FAR 水平较低(FAR-L)两组。此外,根据 CACS 评分将患者分为三组(CACS≤100、100<CACS≤400 和 CACS>400)。
最终纳入了 4946 名患者[62(55-71)岁,64.4%为男性]。在随访期间,共记录了 234 例(4.7%)MACCEs。线性回归分析结果显示,在胸痛患者中,CACS(R2=0.004,标准β=0.066,P<0.001)与 FAR 呈正相关。与 FAR-L 相比,FAR-H 发生 MACCEs 的风险增加(调整后的 HR 1.371(1.053-1.786),P=0.019)。多变量 Cox 回归显示,年龄(调整后的 HR 1.015,95%CI 1.001-1.028,p=0.03)、FAR(调整后的 HR 1.355,95%CI 1.042-1.763,p=0.023)、FBG(调整后的 HR 1.043,95%CI 1.006-1.083,p=0.024)和 CACS(调整后的 HR 1.470,95%CI 1.250-1.727,p<0.001)是 MACCEs 的独立危险因素。FAR 和 CACS 显著改善了 MACCEs 的风险分层,使净重新分类改善(NRI 0.122,95%CI 0.054-0.198,P<0.001)和综合判别改善(IDI 0.011,95%CI 0.006-0.017,P<0.001)。
FAR 是 MACCEs 的独立危险因素。结果表明,在疑似 CAD 患者中,CACS 与 FAR 呈正相关。较高的 FAR 和较重的冠状动脉钙化负担与疑似 CAD 患者的不良结局相关。FAR 和 CACS 提高了疑似 CAD 患者的风险识别能力,导致 MACCEs 的显著重新分类。