Menzou F
Centre Hospitalo-Universitaire de Douera, Service de Médecine interne et de Cardiologie, Faculté de Médecine, Université Blida1, Rue Étienne Dinet 54, 09000 Blida, Algérie.
Ann Cardiol Angeiol (Paris). 2021 Jun;70(3):153-160. doi: 10.1016/j.ancard.2021.04.001. Epub 2021 May 3.
Identify the predective echocardiographic parameters of major cardiovascular events (death, ischemic recurrence, heart failure and rehospitalization) in-hospital and after six months of follow-up and to establish an echocardiographic prognostic score and to evaluate its prognostic value alone or in association with clinical risk scores.
We recruited 302 patients in intensive care unit of cardiology for ACS consecutively on admission, patients were assessed by clinical risk scores (GRACE, TIMI, CRUSADE) and resting doppler echocardiography, a follow-up of six months.
The echocardiographic risk score has four variables: LV-EF (RR=0.931; 95%CI=0.885-0.979, P<0.01), RV-AF (RR=0.951; 95%CI=0.903-0.999, P<0.05), iMAE-M-strain (RR=1.226; 95%CI=1.081-1.390, P<0.01) and ULCs (RR=1.151; 95%CI=1.081-1.224, P<0.01). Its discrimination capacity (AUC=0.85), greater than that of the clinical risk scores, (GRACE: AUC=0.72, TIMI: AUC=0.71 and CRUSADE: AUC=0.76).
The risk stratification can be achieved using echocardiographic score easy to acquire and interpret in the clinical setting, with a stratification power higher than the clinical risk scores. The iconoclinical model makes it possible to select a group of heterogeneous patients by their clinical presentations and iconographic data at high risk but with an echoscore or clinical score weak or intermediate.
The developed echocardiographic model could prove very useful in the decision-making process and optimization of the therapeutic strategy in some high-risk patients with acute coronary syndromes following an invasive strategy. It is appropriate for expert interpretation, yet relatively simple because it contains only four simple echocardiographic variables as predictors.
确定住院期间及随访6个月后主要心血管事件(死亡、缺血复发、心力衰竭和再次住院)的预测性超声心动图参数,建立超声心动图预后评分,并评估其单独或与临床风险评分联合使用时的预后价值。
我们连续招募了302名入住心脏病重症监护病房的急性冠状动脉综合征(ACS)患者,入院时通过临床风险评分(GRACE、TIMI、CRUSADE)和静息多普勒超声心动图对患者进行评估,并进行6个月的随访。
超声心动图风险评分有四个变量:左心室射血分数(RR=0.931;95%CI=0.885-0.979,P<0.01)、右心室面积变化分数(RR=0.951;95%CI=0.903-0.999,P<0.05)、心肌梗死面积心肌应变(RR=1.226;95%CI=1.081-1.390,P<0.01)和超声心动图纵向应变(RR=1.151;95%CI=1.081-1.224,P<0.01)。其鉴别能力(AUC=0.85)大于临床风险评分(GRACE:AUC=0.72,TIMI:AUC=0.71,CRUSADE:AUC=0.76)。
使用在临床环境中易于获取和解释的超声心动图评分可以实现风险分层,其分层能力高于临床风险评分。影像学临床模型能够通过临床表现和影像学数据选择一组具有高风险但超声心动图评分或临床评分较低或中等的异质性患者。
所开发的超声心动图模型可能在某些接受侵入性治疗策略的急性冠状动脉综合征高危患者的决策过程和治疗策略优化中非常有用。它适合专家解读,但相对简单,因为它仅包含四个简单的超声心动图变量作为预测指标。