Fluid Dynamics - understanding fluid dynamics to improve our lives

流体动力学 - 了解流体动力学以改善我们的生活

• 批准号: 2883225
• 金额: --
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2883225
• 关键词: Fluid; Dynamics; understanding; fluid; dynamics

Peripheral Artery Disease (PAD) is characterised by atherosclerotic narrowing of the peripheral arteries that classically affects the lower extremities. This leads to impairment of oxygen deliver to nearby muscles during exercise, resulting in exertional pain (claudication). PAD patients also have increased risk of cardiovascular events, including death.We will look at whether mean shear and patterns of shear stress in the femoral and popliteal artery (ultrasound-derived) are linked with the time to minimal calf oxygenation during a 6-minute walk test, which can provide an index of microvascular function and functional capacity. Using these measurements, the goal of this project is to model the severity of vascular impairment in patients and link this with functional limitations and cardiovascular event occurrence.The project will deliver a multiscale computational model that can aid in the prediction of functional decline and cardiovascular event occurrence, while taking into consideration sex and comorbidity of patients. The model will incorporate flows in large arteries, smaller arterioles, and peripheral vascular beds, and will include patient-specific parameterisation. Development of this model will aid in disease management and better estimation of future risk for PAD patients. This will enable more accurate stratification of patients into risk categories.

外周动脉疾病（PAD）的特征是典型影响下肢的外周动脉粥样硬化狭窄。这会导致运动过程中氧气输送到附近肌肉的受损，导致劳力性疼痛（跛行）。PAD患者也有心血管事件的风险增加，包括死亡。我们将研究股动脉和腘动脉（超声衍生）的平均剪切力和剪切应力模式是否与6分钟步行试验中小腿氧合最低的时间相关，该试验可以提供微血管功能和功能能力的指标。利用这些测量，本项目的目标是建立患者血管损伤严重程度的模型，并将其与功能限制和心血管事件发生联系起来，该项目将提供一个多尺度计算模型，可以帮助预测功能下降和心血管事件发生，同时考虑患者的性别和合并症。该模型将纳入大动脉、小动脉和外周血管床中的血流，并将包括患者特定的参数化。该模型的开发将有助于疾病管理和更好地估计PAD患者的未来风险。这将使患者能够更准确地分层到风险类别。