Keller Marius, Heller Tim, Duerr Marcia-Marleen, Schlensak Christian, Nowak-Machen Martina, Feng You-Shan, Rosenberger Peter, Magunia Harry
Department of Anesthesiology and Intensive Care Medicine, University Hospital Tuebingen, Eberhard-Karls-University, Tuebingen, Germany.
Department of Anesthesiology and Intensive Care Medicine, University Hospital Tuebingen, Eberhard-Karls-University, Tuebingen, Germany.
J Am Soc Echocardiogr. 2022 Apr;35(4):408-418. doi: 10.1016/j.echo.2021.11.008. Epub 2021 Nov 16.
Three-dimensional (3D) right ventricular (RV) strain analysis is not routinely performed perioperatively. Although 3D RV strain adds incrementally to outcome prediction in various cardiac diseases, its role in the perioperative setting is not sufficiently understood. The aim of this study was to investigate the association between 3D RV strain measured on RV meshes created from 3D transesophageal echocardiographic data and short-term outcomes among patients undergoing cardiac surgery.
A total of 496 patients undergoing cardiac surgery who underwent intraoperative 3D transesophageal echocardiography (under general anesthesia, before sternotomy) were retrospectively selected, and RV meshes were generated using commercially available speckle-tracking software. Custom-made software automatically quantified longitudinal and circumferential RV strains on the mesh surfaces. Echocardiographic and clinical parameters were entered into logistic regression models to determine their associations with the primary (in-hospital death or need for extracorporeal life support) and secondary (postoperative ventilation > 48 hours) end points.
Mesh-derived RV strain analysis was feasible in 94% of patients and revealed distinct regional patterns with basal-apical gradients for both longitudinal and circumferential strain. Thirty-seven patients (7.6%) reached the primary end point, and 118 patients (23.8%) reached the secondary end point. In a multivariable logistic regression model, serum lactate (P < .01), an emergency indication for surgery (P < .01), tricuspid regurgitation (P < .001), and mesh-derived RV global longitudinal strain (RV-GLS; P < .01) were independently associated with the primary end point, while established measures of RV function (3D RV ejection fraction, fractional area change, tricuspid annular plane systolic excursion) and left ventricular (LV) function (3D-derived LV ejection fraction and LV-GLS) were not independently associated. Hematocrit (P < .01), serum lactate (P < .001), pulmonary hypertension (P = .04), tricuspid regurgitation (P < .01), emergency procedures (P = .02), LV-GLS (P = .02), and RV-GLS (P < .001) were associated with the secondary end point.
RV-GLS measured on RV meshes derived from 3D transesophageal echocardiography was independently associated with short-term outcomes in patients undergoing cardiac surgery and might be helpful for identifying patients at risk for adverse postoperative events.
三维(3D)右心室(RV)应变分析在围手术期并非常规进行。尽管3D RV应变在各种心脏疾病的预后预测中能逐步增加信息,但在围手术期的作用尚未得到充分理解。本研究的目的是探讨从3D经食管超声心动图数据创建的RV网格上测量的3D RV应变与心脏手术患者短期预后之间的关联。
回顾性选取496例接受心脏手术且术中进行3D经食管超声心动图检查(全身麻醉下,胸骨切开术前)的患者,使用商用斑点追踪软件生成RV网格。定制软件自动量化网格表面的纵向和周向RV应变。将超声心动图和临床参数纳入逻辑回归模型,以确定它们与主要终点(院内死亡或需要体外生命支持)和次要终点(术后通气>48小时)的关联。
94%的患者可行基于网格的RV应变分析,且显示出纵向和周向应变均具有从基底到心尖梯度的独特区域模式。37例患者(7.6%)达到主要终点,118例患者(23.8%)达到次要终点。在多变量逻辑回归模型中,血清乳酸(P<.01)、手术紧急指征(P<.01)、三尖瓣反流(P<.001)和基于网格的RV整体纵向应变(RV-GLS;P<.01)与主要终点独立相关,而既定的RV功能指标(3D RV射血分数、面积变化分数、三尖瓣环平面收缩期位移)和左心室(LV)功能指标(3D衍生的LV射血分数和LV-GLS)并非独立相关。血细胞比容(P<.01)、血清乳酸(P<.001)、肺动脉高压(P=.04)、三尖瓣反流(P<.01)、急诊手术(P=.02)、LV-GLS(P=.02)和RV-GLS(P<.001)与次要终点相关。
从3D经食管超声心动图获得的RV网格上测量的RV-GLS与心脏手术患者的短期预后独立相关,可能有助于识别术后不良事件风险患者。