1
|
Chen J, Wang S, Wang K, Abiri P, Huang Z, Yin J, Jabalera AM, Arianpour B, Roustaei M, Zhu E, Zhao P, Cavallero S, Duarte‐Vogel S, Stark E, Luo Y, Benharash P, Tai Y, Cui Q, Hsiai TK. Machine learning-directed electrical impedance tomography to predict metabolically vulnerable plaques. Bioeng Transl Med 2024; 9:e10616. [PMID: 38193119 PMCID: PMC10771559 DOI: 10.1002/btm2.10616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/05/2023] [Accepted: 10/15/2023] [Indexed: 01/10/2024] Open
Abstract
The characterization of atherosclerotic plaques to predict their vulnerability to rupture remains a diagnostic challenge. Despite existing imaging modalities, none have proven their abilities to identify metabolically active oxidized low-density lipoprotein (oxLDL), a marker of plaque vulnerability. To this end, we developed a machine learning-directed electrochemical impedance spectroscopy (EIS) platform to analyze oxLDL-rich plaques, with immunohistology serving as the ground truth. We fabricated the EIS sensor by affixing a six-point microelectrode configuration onto a silicone balloon catheter and electroplating the surface with platinum black (PtB) to improve the charge transfer efficiency at the electrochemical interface. To demonstrate clinical translation, we deployed the EIS sensor to the coronary arteries of an explanted human heart from a patient undergoing heart transplant and interrogated the atherosclerotic lesions to reconstruct the 3D EIS profiles of oxLDL-rich atherosclerotic plaques in both right coronary and left descending coronary arteries. To establish effective generalization of our methods, we repeated the reconstruction and training process on the common carotid arteries of an unembalmed human cadaver specimen. Our findings indicated that our DenseNet model achieves the most reliable predictions for metabolically vulnerable plaque, yielding an accuracy of 92.59% after 100 epochs of training.
Collapse
Affiliation(s)
- Justin Chen
- Department of Bioengineering, Henry Samueli School of EngineeringUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Shaolei Wang
- Department of Bioengineering, Henry Samueli School of EngineeringUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Kaidong Wang
- Division of Cardiology, Department of Medicine, David Geffen School of MedicineUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Parinaz Abiri
- Department of Bioengineering, Henry Samueli School of EngineeringUniversity of California, Los AngelesLos AngelesCaliforniaUSA
- Division of Cardiology, Department of Medicine, David Geffen School of MedicineUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Zi‐Yu Huang
- Department of Medical EngineeringCalifornia Institute of TechnologyPasadenaCaliforniaUSA
| | - Junyi Yin
- Department of Bioengineering, Henry Samueli School of EngineeringUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Alejandro M. Jabalera
- Department of Bioengineering, Henry Samueli School of EngineeringUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Brian Arianpour
- Department of Bioengineering, Henry Samueli School of EngineeringUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Mehrdad Roustaei
- Department of Bioengineering, Henry Samueli School of EngineeringUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Enbo Zhu
- Division of Cardiology, Department of Medicine, David Geffen School of MedicineUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Peng Zhao
- Division of Cardiology, Department of Medicine, David Geffen School of MedicineUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Susana Cavallero
- Division of Cardiology, Department of Medicine, David Geffen School of MedicineUniversity of California, Los AngelesLos AngelesCaliforniaUSA
- Division of Cardiology, Department of MedicineGreater Los Angeles VA Healthcare SystemLos AngelesCaliforniaUSA
| | - Sandra Duarte‐Vogel
- Division of Laboratory Animal Medicine, David Geffen School of MedicineUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Elena Stark
- Division of Anatomy, Department of Pathology and Laboratory Medicine, David Geffen School of MedicineUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Yuan Luo
- Department of Medical EngineeringCalifornia Institute of TechnologyPasadenaCaliforniaUSA
| | - Peyman Benharash
- Division of Cardiothoracic Surgery, Department of Surgery, David Geffen School of MedicineUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Yu‐Chong Tai
- Department of Medical EngineeringCalifornia Institute of TechnologyPasadenaCaliforniaUSA
| | - Qingyu Cui
- Division of Cardiology, Department of Medicine, David Geffen School of MedicineUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | - Tzung K. Hsiai
- Department of Bioengineering, Henry Samueli School of EngineeringUniversity of California, Los AngelesLos AngelesCaliforniaUSA
- Division of Cardiology, Department of Medicine, David Geffen School of MedicineUniversity of California, Los AngelesLos AngelesCaliforniaUSA
- Department of Medical EngineeringCalifornia Institute of TechnologyPasadenaCaliforniaUSA
- Division of Cardiology, Department of MedicineGreater Los Angeles VA Healthcare SystemLos AngelesCaliforniaUSA
| |
Collapse
|
2
|
Urbanowicz T, Czub P, Olasińska-Wiśniewska A, Michalak M, Fryska Z, Zieliński J, Filipiak KJ, Wróbel K, Tykarski A, Jemielity M. Changing Face of Inflammatory Activation in Complex Coronary Artery Disease during the COVID-19 Pandemic. J Cardiovasc Dev Dis 2023; 10:jcdd10050199. [PMID: 37233166 DOI: 10.3390/jcdd10050199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 04/20/2023] [Accepted: 04/24/2023] [Indexed: 05/27/2023] Open
Abstract
INTRODUCTION The COVID-19 pandemic has changed the immunological status of the population, indicating increased activation. The aim of the study was to compare the degree of inflammatory activation in patients admitted for surgical revascularization in the period before and during the COVID-19 pandemic. MATERIALS AND METHODS This retrospective analysis included an analysis of inflammatory activation assessed on the basis of whole blood counts in 533 patients (435 (82%) male and 98 (18%) female) with a median age of 66 (61-71) years who underwent surgical revascularization, including 343 and 190 patients operated on in 2018 and 2022, respectively. RESULTS The compared groups were matched by propensity score matching analysis, obtaining 190 patients in each group. Significantly higher values of preoperative monocyte count (p = 0.015), monocyte-to-lymphocyte ratio (p = 0.004) and systemic inflammatory response index (p = 0.022) were found in the during-COVID subgroup. The perioperative and 12-month mortality rates were comparable, with 1% (n = 4) in 2018 vs. 1% (n = 2) in 2022 (p = 0.911), and 5.6 % (n = 11 patients) vs. 7% (n = 13 patients) (p = 0.413), in the pre-COVID and during-COVID subgroups, respectively. CONCLUSIONS Simple whole blood analysis in patients with complex coronary artery disease performed before and during the COVID-19 pandemic indicates excessive inflammatory activation. However, the immune variation did not interfere with one-year mortality rate after surgical revascularization.
Collapse
Affiliation(s)
- Tomasz Urbanowicz
- Cardiac Surgery and Transplantology Department, Poznan University of Medical Sciences, 61-848 Poznan, Poland
| | - Paweł Czub
- Cardiac Surgery Department, Lazarski University, 02-662 Warszawa, Poland
| | - Anna Olasińska-Wiśniewska
- Cardiac Surgery and Transplantology Department, Poznan University of Medical Sciences, 61-848 Poznan, Poland
| | - Michał Michalak
- Department of Computer Science and Statistics, Poznan University of Medical Sciences, 61-701 Poznan, Poland
| | - Zuzanna Fryska
- Faculty of Medicine, Poznan University of Medical Sciences, 61-701 Poznan, Poland
| | - Jakub Zieliński
- Cardiac Surgery Department, Lazarski University, 02-662 Warszawa, Poland
| | - Krzysztof Jerzy Filipiak
- Institute of Clinical Science, Maria Sklodowska-Curie Medical Academy, 00-001 Warsaw, Poland
- Department of Hypertensiology, Angiology and Internal Medicine, Poznan University of Medical Sciences, 61-848 Poznan, Poland
| | - Krzysztof Wróbel
- Cardiac Surgery Department, Lazarski University, 02-662 Warszawa, Poland
| | - Andrzej Tykarski
- Department of Hypertensiology, Angiology and Internal Medicine, Poznan University of Medical Sciences, 61-848 Poznan, Poland
| | - Marek Jemielity
- Cardiac Surgery and Transplantology Department, Poznan University of Medical Sciences, 61-848 Poznan, Poland
| |
Collapse
|