Polzer Stanislav, Kracík Jan, Novotný Tomáš, Kubíček Luboš, Staffa Robert, Raghavan Madhavan L
Department of Applied Mechanics, VSB-Technical University of Ostrava, 17.listopadu 2172/15, Ostrava-Poruba, 708 33, Czech Republic.
Department of Applied Mathematics, VSB-Technical University of Ostrava, 17.listopadu 2172/15, Ostrava-Poruba, 708 33, Czech Republic.
Comput Methods Programs Biomed. 2021 Mar;200:105916. doi: 10.1016/j.cmpb.2020.105916. Epub 2020 Dec 25.
Estimating patient specific annual risk of rupture of abdominal aortic aneurysm (AAA) is currently based only on population. More accurate knowledge based on patient specific data would allow surgical treatment of only those AAAs with significant risk of rupture. This would be beneficial for both patients and health care system.
A methodology for estimating annual risk of rupture (EARR) of abdominal aortic aneurysms (AAA) that utilizes Bayesian statistics, mechanics and patient-specific blood pressure monitoring data is proposed. EARR estimation takes into consideration, peak wall stress in AAA computed by patient-specific finite element modeling, the probability distributions of wall thickness, wall strength, systolic blood pressure and the period of time that the patient is known to have already survived with the intact AAA. Initial testing of proposed approach was performed on fifteen patients with intact AAA (mean maximal diameter 51mm±8mm). They were equipped with a pressure holter and their blood pressure was recorded over 24 hours. Then, we calculated EARR values for four possible scenarios - without considering any days of survival prior identification of AAA at computed tomography scans (EARR_0), considering past survival of 30 (EARR_30), 90 (EARR_90) and 180 days (EARR_180). Finally, effect of patient-specific blood pressure variability was analyzed.
Consideration of past survival does indeed significantly improve predictions of future risk: EARR_30 (1.04%± 0.87%), EARR_90 (0.67%± 0.56%) and EARR_180 (0.47%± 0.39%) which are unrealistically high otherwise (EARR_0 5.02%± 5.24%). Finally, EARR values were observed to vary by an order as a consequence of blood pressure variability and by factor of two as a consequence of neglected growth.
Methodology for computing annual risk of rupture of AAA was developed for the first time. Sensitivity analyses showed respecting patient specific blood pressure is important factor and should be included in the AAA rupture risk assessment. Obtained EARR values were generally low and in good agreement with confirmed survival time of investigated patients so proposed method should be further clinically validated.
目前,腹主动脉瘤(AAA)患者特定的年度破裂风险评估仅基于人群数据。基于患者特定数据的更准确信息,将有助于仅对那些具有显著破裂风险的腹主动脉瘤进行手术治疗。这对患者和医疗系统都有益。
提出了一种利用贝叶斯统计、力学和患者特定血压监测数据来估计腹主动脉瘤(AAA)年度破裂风险(EARR)的方法。EARR估计考虑了通过患者特定有限元模型计算出的腹主动脉瘤峰值壁应力、壁厚、壁强度、收缩压的概率分布以及已知患者在腹主动脉瘤未破裂情况下存活的时间。对15例未破裂腹主动脉瘤患者(平均最大直径51mm±8mm)进行了该方法的初步测试。为他们配备了动态血压监测仪,并记录其24小时血压。然后,我们计算了四种可能情况下的EARR值——在计算机断层扫描识别腹主动脉瘤之前不考虑任何存活天数(EARR_0)、考虑过去存活30天(EARR_30)、90天(EARR_90)和180天(EARR_180)。最后,分析了患者特定血压变异性的影响。
考虑过去的存活情况确实能显著改善对未来风险的预测:EARR_30(1.04%±0.87%)、EARR_90(0.67%±0.56%)和EARR_180(0.47%±0.39%),否则这些值会高得离谱(EARR_0为5.02%±5.24%)。最后,观察到EARR值因血压变异性而相差一个数量级,因忽略生长而相差两倍。
首次开发了计算腹主动脉瘤年度破裂风险的方法。敏感性分析表明,考虑患者特定血压是一个重要因素,应纳入腹主动脉瘤破裂风险评估。获得的EARR值通常较低,与所研究患者的确认存活时间高度一致,因此所提出的方法应进一步进行临床验证。