Noninvasive Hemodynamic Assessment by a Sensor Patch
Background: Echocardiographic timing intervals provide prognostic information in patients with preclinical cardiac dysfunction. Reduced diastolic filling time (DFT) identifies left bundle branch block patients at risk for cardiomyopathy. The need for specialized equipment limits the utility of echoc...
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Elsevier
2025-05-01
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| Series: | JACC: Advances |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772963X2500170X |
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| author | Zak Loring, MD, MHS Nicholas B. Bolus, PhD F. Brennan Torstrick, PhD Danielle Wilson, BS Melissa Lefevre, BS Brett D. Atwater, MD Anita Kelsey, MD, MBA Jonathan P. Piccini, MD, MHS |
| author_facet | Zak Loring, MD, MHS Nicholas B. Bolus, PhD F. Brennan Torstrick, PhD Danielle Wilson, BS Melissa Lefevre, BS Brett D. Atwater, MD Anita Kelsey, MD, MBA Jonathan P. Piccini, MD, MHS |
| author_sort | Zak Loring, MD, MHS |
| collection | DOAJ |
| description | Background: Echocardiographic timing intervals provide prognostic information in patients with preclinical cardiac dysfunction. Reduced diastolic filling time (DFT) identifies left bundle branch block patients at risk for cardiomyopathy. The need for specialized equipment limits the utility of echocardiography (echo) for longitudinal assessment. Objectives: The purpose of this study was to evaluate a multimodal sensor patch’s (SANSA) assessment of DFT, pre-ejection period (PEP), and left ventricular ejection time (LVET). Methods: Fifty patients undergoing echo were prospectively enrolled and had simultaneous SANSA patch recording and echo. Timing intervals were analyzed using continuous wave, pulsed wave, and tissue Doppler imaging. SANSA electrocardiogram, seismocardiogram, and phonocardiogram data were independently analyzed to identify valve openings/closures for DFT, PEP, and LVET estimation. Agreement between echo and SANSA estimates was assessed using intraclass correlation coefficients (ICC) and compared with agreement between echo views. Results: Forty-six of the 50 patients (92%) had analyzable data. The mean ejection fraction was 53% ± 8%; 13 patients (26%) had left bundle branch block. Echo-estimated mean DFT, PEP, and LVET were 416 ± 139 milliseconds (ms), 108 ± 32 ms, and 300 ± 36 ms, respectively. SANSA-estimated DFT, PEP, and LVET were 431 ± 135 ms, 91 ± 35 ms, and 285 ± 43 ms, respectively. The ICC for SANSA vs echo was 0.92 for DFT, 0.74 for PEP, and 0.76 for LVET. The ICC for tissue Doppler imaging vs pulsed wave estimates within the same patients was 0.93 for DFT, 0.83 for PEP, and 0.69 for LVET. Conclusions: SANSA patch monitoring accurately measures key cardiac timing intervals to within the variability observed between echo views. As these intervals have prognostic value, SANSA-based longitudinal monitoring may facilitate early cardiomyopathy detection. |
| format | Article |
| id | doaj-art-1db7c5d440314eb8a9b929917aba33a6 |
| institution | OA Journals |
| issn | 2772-963X |
| language | English |
| publishDate | 2025-05-01 |
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| series | JACC: Advances |
| spelling | doaj-art-1db7c5d440314eb8a9b929917aba33a62025-08-20T02:19:37ZengElsevierJACC: Advances2772-963X2025-05-014510175310.1016/j.jacadv.2025.101753Noninvasive Hemodynamic Assessment by a Sensor PatchZak Loring, MD, MHS0Nicholas B. Bolus, PhD1F. Brennan Torstrick, PhD2Danielle Wilson, BS3Melissa Lefevre, BS4Brett D. Atwater, MD5Anita Kelsey, MD, MBA6Jonathan P. Piccini, MD, MHS7Division of Cardiology, Department of Medicine, Duke University, Durham, North Carolina, USA; Duke Clinical Research Institute, Durham, North Carolina, USA; Address for correspondence: Dr Zak Loring, Division of Cardiology, Department of Medicine, Duke University Medical Center, 2301 Erwin Road, DUMC 3845, Durham, North Carolina 27710, USA.Huxley Medical Inc, Atlanta, Georgia, USAHuxley Medical Inc, Atlanta, Georgia, USADivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina, USADivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina, USAInova Schar Heart and Vascular, Falls Church, Virginia, USADivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina, USADivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina, USA; Duke Clinical Research Institute, Durham, North Carolina, USABackground: Echocardiographic timing intervals provide prognostic information in patients with preclinical cardiac dysfunction. Reduced diastolic filling time (DFT) identifies left bundle branch block patients at risk for cardiomyopathy. The need for specialized equipment limits the utility of echocardiography (echo) for longitudinal assessment. Objectives: The purpose of this study was to evaluate a multimodal sensor patch’s (SANSA) assessment of DFT, pre-ejection period (PEP), and left ventricular ejection time (LVET). Methods: Fifty patients undergoing echo were prospectively enrolled and had simultaneous SANSA patch recording and echo. Timing intervals were analyzed using continuous wave, pulsed wave, and tissue Doppler imaging. SANSA electrocardiogram, seismocardiogram, and phonocardiogram data were independently analyzed to identify valve openings/closures for DFT, PEP, and LVET estimation. Agreement between echo and SANSA estimates was assessed using intraclass correlation coefficients (ICC) and compared with agreement between echo views. Results: Forty-six of the 50 patients (92%) had analyzable data. The mean ejection fraction was 53% ± 8%; 13 patients (26%) had left bundle branch block. Echo-estimated mean DFT, PEP, and LVET were 416 ± 139 milliseconds (ms), 108 ± 32 ms, and 300 ± 36 ms, respectively. SANSA-estimated DFT, PEP, and LVET were 431 ± 135 ms, 91 ± 35 ms, and 285 ± 43 ms, respectively. The ICC for SANSA vs echo was 0.92 for DFT, 0.74 for PEP, and 0.76 for LVET. The ICC for tissue Doppler imaging vs pulsed wave estimates within the same patients was 0.93 for DFT, 0.83 for PEP, and 0.69 for LVET. Conclusions: SANSA patch monitoring accurately measures key cardiac timing intervals to within the variability observed between echo views. As these intervals have prognostic value, SANSA-based longitudinal monitoring may facilitate early cardiomyopathy detection.http://www.sciencedirect.com/science/article/pii/S2772963X2500170Xdiastolic functionechocardiographyleft bundle branch blockpatch sensor |
| spellingShingle | Zak Loring, MD, MHS Nicholas B. Bolus, PhD F. Brennan Torstrick, PhD Danielle Wilson, BS Melissa Lefevre, BS Brett D. Atwater, MD Anita Kelsey, MD, MBA Jonathan P. Piccini, MD, MHS Noninvasive Hemodynamic Assessment by a Sensor Patch JACC: Advances diastolic function echocardiography left bundle branch block patch sensor |
| title | Noninvasive Hemodynamic Assessment by a Sensor Patch |
| title_full | Noninvasive Hemodynamic Assessment by a Sensor Patch |
| title_fullStr | Noninvasive Hemodynamic Assessment by a Sensor Patch |
| title_full_unstemmed | Noninvasive Hemodynamic Assessment by a Sensor Patch |
| title_short | Noninvasive Hemodynamic Assessment by a Sensor Patch |
| title_sort | noninvasive hemodynamic assessment by a sensor patch |
| topic | diastolic function echocardiography left bundle branch block patch sensor |
| url | http://www.sciencedirect.com/science/article/pii/S2772963X2500170X |
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