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利用脉搏血氧饱和度波形图检测主动脉缩窄。

Using pulse oximetry waveforms to detect coarctation of the aorta.

机构信息

Division of Cardiology, Pediatric Cardiology, Children's Healthcare of Atlanta, 1405 Clifton Rd, Atlanta, GA, 30322, USA.

Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.

出版信息

Biomed Eng Online. 2020 May 14;19(1):31. doi: 10.1186/s12938-020-00775-2.

Abstract

BACKGROUND

Coarctation of the aorta is a common form of critical congenital heart disease that remains challenging to diagnose prior to clinical deterioration. Despite current screening methods, infants with coarctation may present with life-threatening cardiogenic shock requiring urgent hospitalization and intervention. We sought to improve critical congenital heart disease screening by using a novel pulse oximetry waveform analysis, specifically focused on detection of coarctation of the aorta.

METHODS AND RESULTS

Over a 2-year period, we obtained pulse oximetry waveform data on 18 neonates with coarctation of the aorta and 18 age-matched controls hospitalized in the cardiac intensive care unit at Children's Healthcare of Atlanta. Patients with coarctation were receiving prostaglandin E1 and had a patent ductus arteriosus. By analyzing discrete features in the waveforms, we identified statistically significant differences in the maximum rate of fall between patients with and without coarctation. This was accentuated when comparing the difference between the upper and lower extremities, with the lower extremities having a shallow slope angle when a coarctation was present (p-value 0.001). Postoperatively, there were still differences in the maximum rate of fall between the repaired coarctation patients and controls; however, these differences normalized when compared with the same individual's upper vs. lower extremities. Coarctation patients compared to themselves (preoperatively and postoperatively), demonstrated waveform differences between upper and lower extremities that were significantly reduced after successful surgery (p-value 0.028). This screening algorithm had an accuracy of detection of 72% with 0.61 sensitivity and 0.94 specificity.

CONCLUSIONS

We were able to identify specific features in pulse oximetry waveforms that were able to accurately identify patients with coarctation and further demonstrated that these changes normalized after surgical repair. Pulse oximetry screening for congenital heart disease in neonates may thus be improved by including waveform analysis, aiming to identify coarctation of the aorta prior to critical illness. Further large-scale testing is required to validate this screening model among patients in a newborn nursery setting who are low risk for having coarctation.

摘要

背景

主动脉缩窄是一种常见的先天性心脏病,在临床恶化之前,该病的诊断仍然具有挑战性。尽管有目前的筛查方法,但患有主动脉缩窄的婴儿可能会出现危及生命的心源性休克,需要紧急住院和干预。我们试图通过使用一种新的脉搏血氧仪波形分析来改善先天性心脏病的筛查,特别是侧重于主动脉缩窄的检测。

方法和结果

在两年的时间里,我们在亚特兰大儿童保健中心的心脏重症监护病房中获得了 18 例主动脉缩窄和 18 例年龄匹配的对照组的新生儿脉搏血氧仪波形数据。患有主动脉缩窄的患者正在接受前列腺素 E1 治疗,并且动脉导管未闭。通过分析波形中的离散特征,我们发现了患有和不患有主动脉缩窄的患者之间最大下降率的统计学显著差异。当比较上下肢之间的差异时,这种差异更加明显,当下肢存在主动脉缩窄时,斜率角度较浅(p 值为 0.001)。手术后,修复后的主动脉缩窄患者和对照组之间的最大下降率仍存在差异;然而,与同一个体的上下肢相比,这些差异趋于正常。与自身(术前和术后)相比,主动脉缩窄患者的上下肢之间的波形差异在成功手术后显著减小(p 值为 0.028)。该筛查算法的检测准确率为 72%,灵敏度为 0.61,特异性为 0.94。

结论

我们能够识别脉搏血氧仪波形中的特定特征,这些特征能够准确识别出患有主动脉缩窄的患者,并进一步表明这些变化在手术修复后趋于正常。通过包括波形分析,新生儿先天性心脏病的脉搏血氧仪筛查可以得到改善,旨在在出现危急疾病之前识别主动脉缩窄。需要进一步的大规模测试来验证该筛查模型在新生儿病房中低风险患有主动脉缩窄的患者中的有效性。

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