The common carotid artery (CCA) is an accessible and informative site for assessing cardiovascular function which makes it a prime candidate for clinically relevant computational modelling. The interpretation of supplemental information possible through modelling is encumbered by measurement uncertainty and population variability in model parameters. The distribution of model parameters likely depends on the specific sub-population of interest and delineation based on sex, age or health status may correspond to distinct ranges of typical parameter values. To assess this impact in a 1D-CCA-model, we delineated specific sub-populations based on age, sex and health status and carried out uncertainty quantification and sensitivity analysis for each sub-population. We performed a structured literature review to characterize sub-population-specific variabilities for eight model parameters without consideration of health status; variations for a healthy sub-populations were based on previously established references values. The variabilities of diameter and distensibility found in the literature review differed from those previously established in a healthy population. Model diameter change and pulse pressure were most sensitive to variations in distensibility, while pressure was most sensitive to resistance in the Windkessel model for all groups. Uncertainties were lower when variabilities were based on a healthy sub-population; however, the qualitative distribution of sensitivity indices was largely similar between the healthy and general population. Average sensitivity of the pressure waveform showed a moderate dependence on age with decreasing sensitivity to distal resistance and increasing sensitivity to distensibility and diameter. The female population was less sensitive to variations in diameter but more sensitive to distensibility coefficient than the male population. Overall, as hypothesized input variabilities differed between sub-populations and resulted in distinct uncertainties and sensitivities of the 1D-CCA-model outputs, particularly over age for the pressure waveform and between males and females for pulse pressure.

颈总动脉 (CCA) 是评估心血管功能的一个可访问且信息丰富的部位，这使其成为临床相关计算模型的主要候选者。通过建模可能对补充信息的解释受到模型参数中测量不确定性和总体变异性的阻碍。模型参数的分布可能取决于感兴趣的特定子群体，并且基于性别、年龄或健康状况的描述可能对应于典型参数值的不同范围。为了评估 1D-CCA 模型中的这种影响，我们根据年龄、性别和健康状况描绘了特定的亚群，并对每个亚群进行了不确定性量化和敏感性分析。我们进行了结构化文献综述，以描述八个模型参数的亚人群特定变异性，而不考虑健康状况；健康亚群的变异是基于先前建立的参考值。文献综述中发现的直径和扩张性的变异性与之前在健康人群中建立的变异性不同。在所有组的 Windkessel 模型中，模型直径变化和脉压对扩张性变化最敏感，而压力对阻力最敏感。当变异基于健康亚群时，不确定性较低；然而，健康人群和普通人群之间敏感性指数的定性分布基本相似。压力波形的平均灵敏度显示出对年龄的中等依赖性，对远端阻力的灵敏度降低，对扩张性和直径的灵敏度增加。与男性相比，女性群体对直径变化不太敏感，但对扩张系数更敏感。总体而言，由于假设的输入变异在亚人群之间存在差异，导致 1D-CCA 模型输出具有明显的不确定性和敏感性，特别是压力波形的年龄变化以及男性和女性脉压的变化。