A real-time patient-specific treatment strategy for enhanced external counterpulsation.

enhanced external counterpulsation haemodynamics patient-specific treatment real-time wall shear stress

Journal

International journal for numerical methods in biomedical engineering
ISSN: 2040-7947
Titre abrégé: Int J Numer Method Biomed Eng
Pays: England
ID NLM: 101530293

Informations de publication

Date de publication:
26 Feb 2024
Historique:
revised: 23 01 2024
received: 10 10 2023
accepted: 11 02 2024
medline: 27 2 2024
pubmed: 27 2 2024
entrez: 27 2 2024
Statut: aheadofprint

Résumé

Diastolic/systolic blood pressure ratio (D/S) ≥ 1.2 is the gold standard of enhanced external counterpulsation (EECP) treatment, but it does not show a clear clinical correspondence with the configuration of the EECP mode. As such, a single target results in different treatment effects in different individuals. The local haemodynamic effect (wall shear stress, WSS) of EECP on vascular endothelial cells is conducive to promote the growth of collateral circulation vessels and restore the blood supply distal to the stenosis lesion. Considering the haemodynamic effects of WSS on human arteries, this study developed a real-time patient-specific treatment strategy of EECP for patients with cardio-cerebrovascular diseases. Based on patient-specific haemodynamic data from 113 individuals, an optimization algorithm was developed to achieve the individualization of a 0D lumped-parameter model of the human circulatory system, thereby simulating the patient-specific global haemodynamic effects. 0D/3D coupled cardio-cerebrovascular models of two subjects were established to simulate the local WSS. We then established statistical models to evaluate clinically unmeasurable WSS based on measurable global haemodynamic indicators. With the aim of attaining appropriate area- and time-averaged WSS (ATAWSS, 4-7 Pa), as evaluated by global haemodynamic indicators, a closed-loop feedback tuning method was developed to provide patient-specific EECP treatment strategies. Results showed that for clinical data collected from 113 individuals, the individualized 0D model can accurately simulate patient-specific global haemodynamic effects (average error <5%). Based on two subjects, the statistical models can be used to evaluate local ATAWSS (error <6%) for coronary arteries and for cerebral arteries. An EECP mode planned by the patient-specific treatment strategy can promote an appropriate ATAWSS within a 16 s calculation time. The real-time patient-specific treatment strategy of EECP is expected to improve the long-term outcome for each patient and have potential clinical significance.

Identifiants

pubmed: 38409940
doi: 10.1002/cnm.3808
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e3808

Subventions

Organisme : National Key Research and Development Program of China
ID : 2020YFC2004400
Organisme : Natural Science Foundation of Beijing Municipality
ID : 4242032
Organisme : National Natural Science Foundation of China
ID : 12202022
Organisme : National Natural Science Foundation of China
ID : 12102064
Organisme : National Natural Science Foundation of China
ID : 11832003
Organisme : National Natural Science Foundation of China
ID : 32271361

Informations de copyright

© 2024 John Wiley & Sons Ltd.

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Auteurs

Bao Li (B)

Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China.

Youjun Liu (Y)

Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China.

Guangfei Li (G)

Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China.

Zhe Zhang (Z)

Department of Cardiac Surgery, Peking University Third Hospital, Beijing, China.

Yue Feng (Y)

Medical Equipment Department, Peking University First Hospital, Beijing, China.

Boyan Mao (B)

Department of Biological Engineering, School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.

Classifications MeSH