Niccolini Gianni, Manuello Andrea, Capone Antonio, Marongiu Giuseppe, Dell'Osa Antonio Hector, Fois Andrea, Velluzzi Fernanda, Concu Alberto
Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino, Turin, Italy.
Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy.
Front Physiol. 2020 Sep 8;11:1003. doi: 10.3389/fphys.2020.01003. eCollection 2020.
Three-dimensional simulations of peripheral, deep venous flow during muscular exercise in limbs of healthy subjects and in those with venous dysfunction were carried out by a computational fluid-dynamics (CFD) approach using the STAR CCM + platform. The aim was to assess the effects of valvular incompetence on the venous calf pump efficiency. The model idealizes the lower limb circulation by a single artery, a capillary bed represented by a porous region and a single vein. The focus is on a segment of the circuit which mimics a typical deep vein at the level of the calf muscle, such as the right posterior tibial vein. Valves are idealized as ball valves, and periodic muscle contractions are given by imposing time-dependent boundary conditions to the calf segment wall. Flow measurements were performed in two cross-sections downstream and upstream of the calf pump. Model results demonstrate a reduced venous return for incompetent valves during calf exercise. Two different degrees of valvular incompetence are considered, by restricting the motion of one or both valves. Model results showed that only the proximal valve is critical, with a 30% reduction of venous return during calf exercise in case of valvular incompetence: the net flow volume ejected by the calf in central direction was 0.14 mL per working cycle, against 0.2 mL for simulated healthy limbs. This finding appeared to be consistent with a 25% reduction of the calf ejection fraction, experimentally observed in chronic venous disease limbs compared with healthy limbs.
利用STAR CCM +平台,采用计算流体动力学(CFD)方法,对健康受试者和静脉功能不全患者肢体肌肉运动期间的外周深部静脉血流进行了三维模拟。目的是评估瓣膜功能不全对小腿静脉泵效率的影响。该模型将下肢循环理想化,包括一条动脉、一个由多孔区域表示的毛细血管床和一条静脉。重点关注模拟小腿肌肉水平典型深静脉的一段回路,如右胫后静脉。瓣膜被理想化为球阀,通过对小腿段壁施加随时间变化的边界条件来模拟周期性肌肉收缩。在小腿泵下游和上游的两个横截面上进行了流量测量。模型结果表明,小腿运动期间瓣膜功能不全时静脉回流减少。通过限制一个或两个瓣膜的运动,考虑了两种不同程度的瓣膜功能不全。模型结果显示,只有近端瓣膜至关重要,瓣膜功能不全时小腿运动期间静脉回流减少30%:小腿向中心方向射出的净流量为每个工作周期0.14 mL,而模拟健康肢体为0.2 mL。这一发现似乎与慢性静脉疾病肢体与健康肢体相比实验观察到的小腿射血分数降低25%一致。