Jinyang Yu, Tomas Dybos Tannvik, Anders Austlid Taskén, Erik Andreas Rye Berg, Katrine Hordnes Slagsvold, Idar Kirkeby-Garstad, Eirik Skogvoll, Gabriel Kiss, Bjørnar Grenne, Svend Aakhus
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Postoperative N-terminal pro B-type natriuretic peptide (ProBNP) and high-sensitivity troponin-T (TnT) were measured twice daily until the evening of postoperative day 1. Ventriculoarterial coupling was assessed non-invasively by calculating arterial elastance and end-systolic elastance (Ea/Ees-ratio). The relationship between autoMAPSE and ventriculoarterial coupling was assessed by 1) correlating Ea/Ees-ratio with one simultaneous autoMAPSE measurement, and 2) relating the measurements of autoMAPSE with corresponding MAP within each patient using a linear mixed model with random slopes. We found that autoMAPSE correlated negatively with Ea/Ees-ratio (rho = - 0.61, P < 0.05). Furthermore, the individual slopes relating autoMAPSE to MAP were highly significant (P < 0.001) and markedly heterogeneous (both positive and negative), suggesting that ventriculoarterial coupling differs substantially in different individual patients. Finally, continuous autoMAPSE measurements were negatively correlated with both peak postoperative ProBNP (rho = - 0.46, P < 0.001) and TnT (rho = - 0.29, P < 0.05). 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引用次数: 0
摘要
心室-动脉耦合恶化对心血管和左心室功能不利。为了能够持续监测左心室功能,我们开发了autoMAPSE,这是一种结合经食管超声心动图和深度学习的新工具,用于自动测量二尖瓣环面收缩偏移。我们假设autoMAPSE可用于监测全身心室-动脉耦合并检测术后心脏生物标志物的变化。为了验证这一假设,我们在心脏手术后立即监测50例患者120分钟,每5分钟测量一次autoMAPSE和平均动脉压(MAP)。术后n端前b型利钠肽(ProBNP)和高灵敏度肌钙蛋白-t (TnT)每天测量两次,直到术后第1天晚上。通过计算动脉弹性和收缩期末期弹性(Ea/Ees-ratio)无创评估心室动脉耦合。通过1)将Ea/Ees-ratio与同时进行的一次autoMAPSE测量相关联,以及2)使用随机斜率的线性混合模型将每个患者的autoMAPSE测量与相应的MAP相关联,来评估autoMAPSE与心室动脉耦合之间的关系。我们发现autoMAPSE与Ea/Ees-ratio呈负相关(rho = - 0.61, P
Monitoring systemic ventriculoarterial coupling after cardiac surgery using continuous transoesophageal echocardiography and deep learning.
Deterioration of ventriculoarterial coupling is detrimental to cardiovascular and left ventricular function. To enable continuous monitoring of left ventricular function, we have developed autoMAPSE, a new tool that combines transoesophageal echocardiography with deep learning for automatic measurement of mitral annular plane systolic excursion. We hypothesised that autoMAPSE could be used to monitor systemic ventriculoarterial coupling and detect alterations in postoperative cardiac biomarkers. To test this hypothesis, we monitored 50 patients for 120 min immediately after cardiac surgery by measuring autoMAPSE and mean arterial pressure (MAP) every 5 min. Postoperative N-terminal pro B-type natriuretic peptide (ProBNP) and high-sensitivity troponin-T (TnT) were measured twice daily until the evening of postoperative day 1. Ventriculoarterial coupling was assessed non-invasively by calculating arterial elastance and end-systolic elastance (Ea/Ees-ratio). The relationship between autoMAPSE and ventriculoarterial coupling was assessed by 1) correlating Ea/Ees-ratio with one simultaneous autoMAPSE measurement, and 2) relating the measurements of autoMAPSE with corresponding MAP within each patient using a linear mixed model with random slopes. We found that autoMAPSE correlated negatively with Ea/Ees-ratio (rho = - 0.61, P < 0.05). Furthermore, the individual slopes relating autoMAPSE to MAP were highly significant (P < 0.001) and markedly heterogeneous (both positive and negative), suggesting that ventriculoarterial coupling differs substantially in different individual patients. Finally, continuous autoMAPSE measurements were negatively correlated with both peak postoperative ProBNP (rho = - 0.46, P < 0.001) and TnT (rho = - 0.29, P < 0.05). In conclusion, continuous monitoring using autoMAPSE in the first two postoperative hours reflected ventriculoarterial coupling as well as peak ProBNP and TnT during the subsequent 24 h.
期刊介绍:
The Journal of Clinical Monitoring and Computing is a clinical journal publishing papers related to technology in the fields of anaesthesia, intensive care medicine, emergency medicine, and peri-operative medicine.
The journal has links with numerous specialist societies, including editorial board representatives from the European Society for Computing and Technology in Anaesthesia and Intensive Care (ESCTAIC), the Society for Technology in Anesthesia (STA), the Society for Complex Acute Illness (SCAI) and the NAVAt (NAVigating towards your Anaestheisa Targets) group.
The journal publishes original papers, narrative and systematic reviews, technological notes, letters to the editor, editorial or commentary papers, and policy statements or guidelines from national or international societies. The journal encourages debate on published papers and technology, including letters commenting on previous publications or technological concerns. The journal occasionally publishes special issues with technological or clinical themes, or reports and abstracts from scientificmeetings. Special issues proposals should be sent to the Editor-in-Chief. Specific details of types of papers, and the clinical and technological content of papers considered within scope can be found in instructions for authors.