Paul D. Morris, Ryan A. Anderton, Karina Marshall-Goebel, Joseph K. Britton, Stuart M. C. Lee, Nicolas P. Smith, Frans N. van de Vosse, Karen M. Ong, Tom A. Newman, Daniel J. Taylor, Tim Chico, Julian P. Gunn, Andrew J. Narracott, D. Rod Hose, Ian Halliday
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引用次数: 0
摘要
60 多年来,人类一直在太空中旅行。迄今为止,大多数宇航员都是政府机构的专业宇航员,他们之所以被选中,部分原因是他们具有超强的身体素质和没有疾病。现在,公众也可以参加商业航天飞行,其中许多人以前由于体能不佳或患有心肺疾病而被排除在外。虽然已有关于重力和加速度(G)对人体生理影响的数据,但关于航空航天环境对未经选择的公众,特别是对那些患有临床重大疾病的人的影响的数据却很有限。虽然持续时间很短,但这些高加速度力可能会损害某些人的体验,更严重的是会对其健康构成威胁。与其让已有病变的人暴露在 G 力下以收集数据,不如通过计算建模来预测心血管疾病的性质和严重程度,因为这些疾病的风险足以限制飞行、要求改装或建议在飞行前进行进一步的调查或培训。在这篇综述中,我们利用美国国家航空航天局和欧洲空间局的长臂离心机设施生成的数据,探讨了最先进的零维、分区人体心血管病理生理学模型,这些模型可用于模拟加速度力、稳态调节和通气-灌注匹配的影响,从而对个人进行风险分层,帮助提高商业亚轨道航天飞行的安全性。
Computational modelling of cardiovascular pathophysiology to risk stratify commercial spaceflight
For more than 60 years, humans have travelled into space. Until now, the majority of astronauts have been professional, government agency astronauts selected, in part, for their superlative physical fitness and the absence of disease. Commercial spaceflight is now becoming accessible to members of the public, many of whom would previously have been excluded owing to unsatisfactory fitness or the presence of cardiorespiratory diseases. While data exist on the effects of gravitational and acceleration (G) forces on human physiology, data on the effects of the aerospace environment in unselected members of the public, and particularly in those with clinically significant pathology, are limited. Although short in duration, these high acceleration forces can potentially either impair the experience or, more seriously, pose a risk to health in some individuals. Rather than expose individuals with existing pathology to G forces to collect data, computational modelling might be useful to predict the nature and severity of cardiovascular diseases that are of sufficient risk to restrict access, require modification, or suggest further investigation or training before flight. In this Review, we explore state-of-the-art, zero-dimensional, compartmentalized models of human cardiovascular pathophysiology that can be used to simulate the effects of acceleration forces, homeostatic regulation and ventilation–perfusion matching, using data generated by long-arm centrifuge facilities of the US National Aeronautics and Space Administration and the European Space Agency to risk stratify individuals and help to improve safety in commercial suborbital spaceflight. During commercial spaceflight, individuals who might have underlying cardiovascular disease will be exposed to increased gravitational and acceleration (G) forces. In this Review, Morris and colleagues explore the use of computational models to simulate the effects of G forces on human cardiovascular pathophysiology to risk-stratify individuals and help to improve safety in commercial suborbital spaceflight.
期刊介绍:
Nature Reviews Cardiology aims to be the go-to source for reviews and commentaries in the scientific and clinical communities it serves. Focused on providing authoritative and accessible articles enriched with clear figures and tables, the journal strives to offer unparalleled service to authors, referees, and readers, maximizing the usefulness and impact of each publication. It covers a broad range of content types, including Research Highlights, Comments, News & Views, Reviews, Consensus Statements, and Perspectives, catering to practising cardiologists and cardiovascular research scientists. Authored by renowned clinicians, academics, and researchers, the content targets readers in the biological and medical sciences, ensuring accessibility across various disciplines. In-depth Reviews offer up-to-date information, while Consensus Statements provide evidence-based recommendations. Perspectives and News & Views present topical discussions and opinions, and the Research Highlights section filters primary research from cardiovascular and general medical journals. As part of the Nature Reviews portfolio, Nature Reviews Cardiology maintains high standards and a wide reach.