当前位置: X-MOL 学术BMC Cardiovasc. Disord. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The use of data science to analyse physiology of oxygen delivery in the extracorporeal circulation.
BMC Cardiovascular Disorders ( IF 2.0 ) Pub Date : 2019-12-13 , DOI: 10.1186/s12872-019-01301-6
Marceli Lukaszewski 1 , Rafal Lukaszewski 2 , Kinga Kosiorowska 3 , Marek Jasinski 3
Affiliation  

BACKGROUND Recent scientific reports have brought into light a new concept of goal-directed perfusion (GDP) that aims to recreate physiological conditions in which the risk of end-organ malperfusion is minimalized. The aim of our study was to analyse patients' interim physiology while on cardiopulmonary bypass based on the haemodynamic and tissue oxygen delivery measurements. We also aimed to create a universal formula that may help in further implementation of the GDP concept. METHODS We retrospectively analysed patients operated on at the Wroclaw University Hospital between June 2017 and December 2018. Since our observations provided an extensive amount of data, including the patients' demographics, surgery details and the perfusion-related data, the Data Science methodology was applied. RESULTS A total of 272 (mean age 62.5 ± 12.4, 74% male) cardiac surgery patients were included in the study. To study the relationship between haemodynamic and tissue oxygen parameters, the data for three different values of DO2i (280 ml/min/m2, 330 ml/min/m2 and 380 ml/min/m2), were evaluated. Each set of those lines showed a descending function of CI in Hb concentration for the set DO2i. CONCLUSIONS Modern calculation tools make it possible to create a common data platform from a very large database. Using that methodology we created models of haemodynamic compounds describing tissue oxygen delivery. The obtained unique patterns may both allow the adaptation of the flow in relation to the patient's unique morphology that changes in time and contribute to wider and safer implementation of perfusion strategy which has been tailored to every patient's individual needs.

中文翻译:

使用数据科学分析体外循环中氧气输送的生理学。

背景技术近来的科学报告已经揭示了目标定向灌注(GDP)的新概念,该目标定向的灌注旨在重建生理条件,在该生理条件中使末端器官灌注不足的风险最小化。我们研究的目的是基于血液动力学和组织氧输送测量来分析患者进行体外循环时的中期生理。我们还旨在创建一个通用公式,以帮助进一步实施GDP概念。方法我们回顾性分析了2017年6月至2018年12月在弗罗茨瓦夫大学医院手术的患者。由于我们的观察提供了大量数据,包括患者的人口统计学资料,手术细节和与灌注有关的数据,因此采用了数据科学方法。结果总计272(平均年龄62.5±12.4,这项研究包括了74%的男性心脏外科手术患者。为了研究血液动力学与组织氧参数之间的关系,对三种不同DO2i值(280 ml / min / m2、330 ml / min / m2和380 ml / min / m2)的数据进行了评估。这些线的每组都显示出DO2i组CI在Hb浓度中的下降函数。结论现代的计算工具使从大型数据库创建通用数据平台成为可能。使用该方法,我们创建了描述组织氧输送的血流动力学化合物模型。所获得的独特模式既可以使流量相对于随时间变化的患者独特形态进行适应,又可以帮助更广泛,更安全地实施针对每个患者的个性化需求量身定制的灌注策略。
更新日期:2019-12-13
down
wechat
bug