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计算流体动力学可以检测COVID-19感染后患者的呼吸道抵抗的变化
Yue Qiu1, Zekun Jiang1, Hui Sun2
1Department of Pulmonary and critical care medicine and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Med-X Center for Informatics Sichuan University, Chengdu, Sichuan, China; West China Hospital- SenseTime Joint Lab, Chengdu, Sichuan, China.
在预后不佳的COVID-19患者中,呼吸道阻力显著更高. 这一发现表明,呼吸道阻力可能是诊断COVID-19患者结果的关键指标.
科学领域:
- 呼吸系统医学 呼吸系统医学
- 医疗成像医学成像
- 计算流体动力学的流体动力学.
背景情况:
- COVID-19 感染可能导致严重的呼吸道并发症,可能与增加的呼吸道阻力有关.
- 了解影响COVID-19预后的因素对于患者管理至关重要.
研究的目的:
- 调查呼吸道阻力与COVID-19预后之间的相关性.
- 评估呼吸道抵抗作为COVID-19患者诊断指数的潜力.
主要方法:
- 计算流体动力学 (CFD) 用于根据患者的呼吸道解剖学和空气流量计算气道阻力.
- 对23名COVID-19患者进行了回顾性分析,根据一周治疗后的CT扫描结果,他们被分为良好的和不良的预后组.
- 为了进行比较,包括一个由8名健康个体组成的对照组.
主要成果:
- 预后不佳的COVID-19患者在入院时,与预后良好和健康对照组 (0.063 ± 0.055对比0.029 ± 0.011对比0.017 ± 0.006Pa / mml / s),p = 0.01) 相比,在入院时表现出明显更高的呼吸道抵抗.
- 呼吸道阻力与左上叶 (r = 0.3974,p = 0.01),左下叶 (r = 0.4843,p < 0.01),右下叶 (r = 0.5298,p < 0.0001) 的肺炎严重程度有显著的正相关性.
结论:
- 入院呼吸道阻力与COVID-19患者的预后密切相关.
- 呼吸道耐药性显示出作为患者诊断和COVID-19结果预测的临床指数的潜力.
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