Division of Pediatric Cardiac Critical Care, Advocate Children's Hospital, Oak Lawn, IL, USA.
Department of Pediatrics, Chicago Medical School/Rosalind Franklin University of Medicine and Science, Chicago, IL, USA.
Cardiol Young. 2024 Jul;34(7):1529-1534. doi: 10.1017/S1047951124000295. Epub 2024 Mar 12.
Monitoring venous saturation allows identification of inadequate systemic oxygen delivery. The aim was to develop a model using non-invasive haemodynamic variables to estimate the inferior caval vein saturation and to determine its prognostic utility.
This is a single-centre, retrospective study. A Bayesian Pearson's correlation was conducted to model the inferior caval vein saturation. Next, a Bayesian linear regression was conducted for data from all the patients and from only those with parallel circulation. Venous saturation estimations were developed. The correlation of these estimates to the actual inferior caval vein saturation was assessed. The resulting models were then applied to two validation cohorts: biventricular circulation (arterial switch operation) and parallel circulation (Norwood operation).
One hundred and thirteen datasets were collected across 15 patients. Of which, 65% had parallel circulation. In all patients, the measured and estimated inferior caval vein saturations had a moderate and significant correlation with a coefficient of 0.64. In patients with parallel circulation, the measured and estimated inferior caval vein saturation had a moderate and significant correlation with a coefficient of 0.61. In the biventricular circulation cohort, the estimated inferior caval vein saturation had an area under the curve of 0.71 with an optimal cut-off of 49. In the parallel circulation cohort, the estimated interior caval vein saturation had an area under the curve of 0.83 with an optimal cut-off of 24%.
The inferior caval vein saturation can be estimated utilising non-invasive haemodynamic data. This estimate has correlation with measured inferior caval vein saturations and offers prognostic utility.
监测静脉饱和度可识别全身氧输送不足。目的是利用非侵入性血流动力学变量开发一种模型来估计下腔静脉饱和度，并确定其预后价值。
这是一项单中心回顾性研究。采用贝叶斯皮尔逊相关系数来建立下腔静脉饱和度模型。然后，对所有患者和具有平行循环的患者的数据进行贝叶斯线性回归。开发了静脉饱和度的估计值。评估这些估计值与实际下腔静脉饱和度的相关性。然后将得到的模型应用于两个验证队列：双心室循环（动脉调转手术）和并行循环（Norwood 手术）。
共收集了 15 名患者的 113 个数据集。其中，65%的患者有平行循环。在所有患者中，测量和估计的下腔静脉饱和度具有中度且显著的相关性，相关系数为 0.64。在具有平行循环的患者中，测量和估计的下腔静脉饱和度具有中度且显著的相关性，相关系数为 0.61。在双心室循环队列中，估计的下腔静脉饱和度的曲线下面积为 0.71，最佳截断值为 49。在并行循环队列中，估计的下腔静脉饱和度的曲线下面积为 0.83，最佳截断值为 24。
可以利用非侵入性血流动力学数据来估计下腔静脉饱和度。该估计值与测量的下腔静脉饱和度具有相关性，并具有预后价值。
