1
|
Huang M, Shah AJ, Lampert R, Bliwise DL, Johnson DA, Clifford GD, Sloan R, Goldberg J, Ko YA, Da Poian G, Perez-Alday EA, Almuwaqqat Z, Shah A, Garcia M, Young A, Moazzami K, Bremner JD, Vaccarino V. Heart Rate Variability, Deceleration Capacity of Heart Rate, and Death: A Veteran Twins Study. J Am Heart Assoc 2024; 13:e032740. [PMID: 38533972 DOI: 10.1161/jaha.123.032740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 03/01/2024] [Indexed: 03/28/2024]
Abstract
BACKGROUND Autonomic function can be measured noninvasively using heart rate variability (HRV), which indexes overall sympathovagal balance. Deceleration capacity (DC) of heart rate is a more specific metric of vagal modulation. Higher values of these measures have been associated with reduced mortality risk primarily in patients with cardiovascular disease, but their significance in community samples is less clear. METHODS AND RESULTS This prospective twin study followed 501 members from the VET (Vietnam Era Twin) registry. At baseline, frequency domain HRV and DC were measured from 24-hour Holter ECGs. During an average 12-year follow-up, all-cause death was assessed via the National Death Index. Multivariable Cox frailty models with random effect for twin pair were used to examine the hazard ratios of death per 1-SD increase in log-transformed autonomic metrics. Both in the overall sample and comparing twins within pairs, higher values of low-frequency HRV and DC were significantly associated with lower hazards of all-cause death. In within-pair analysis, after adjusting for baseline factors, there was a 22% and 27% lower hazard of death per 1-SD increment in low-frequency HRV and DC, respectively. Higher low-frequency HRV and DC, measured during both daytime and nighttime, were associated with decreased hazard of death, but daytime measures showed numerically stronger associations. Results did not substantially vary by zygosity. CONCLUSIONS Autonomic inflexibility, and especially vagal withdrawal, are important mechanistic pathways of general mortality risk, independent of familial and genetic factors.
Collapse
Affiliation(s)
- Minxuan Huang
- Department of Epidemiology, Rollins School of Public Health Emory University Atlanta GA
| | - Amit J Shah
- Department of Epidemiology, Rollins School of Public Health Emory University Atlanta GA
- Department of Medicine (Cardiology), School of Medicine Emory University Atlanta GA
- Atlanta Veteran Affairs Medical Center Decatur GA
| | | | - Donald L Bliwise
- Department of Neurology, School of Medicine Emory University Atlanta GA
| | - Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health Emory University Atlanta GA
| | - Gari D Clifford
- Department of Biomedical Informatics, School of Medicine Emory University Atlanta GA
- Department of Biomedical Engineering Georgia Institute of Technology and Emory University Atlanta GA
| | - Richard Sloan
- Department of Psychiatry, College of Physicians and Surgeons Columbia University New York NY
| | - Jack Goldberg
- Department of Epidemiology, School of Public Health University of Washington Seattle WA
- Vietnam Era Twin Registry, Seattle Epidemiologic Research and Information Center US Department of Veterans Affairs Seattle WA
| | - Yi-An Ko
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health Emory University Atlanta GA
| | - Giulia Da Poian
- Department of Health Sciences and Technology ETH Zurich Zurich Switzerland
| | - Erick A Perez-Alday
- Department of Biomedical Informatics, School of Medicine Emory University Atlanta GA
| | - Zakaria Almuwaqqat
- Department of Medicine (Cardiology), School of Medicine Emory University Atlanta GA
| | - Anish Shah
- Department of Medicine (Cardiology), School of Medicine Emory University Atlanta GA
| | - Mariana Garcia
- Department of Medicine (Cardiology), School of Medicine Emory University Atlanta GA
| | - An Young
- Department of Medicine (Cardiology), School of Medicine Emory University Atlanta GA
| | - Kasra Moazzami
- Department of Medicine (Cardiology), School of Medicine Emory University Atlanta GA
| | - J Douglas Bremner
- Atlanta Veteran Affairs Medical Center Decatur GA
- Department of Psychiatry and Behavioral Sciences, School of Medicine Emory University Atlanta GA
| | - Viola Vaccarino
- Department of Epidemiology, Rollins School of Public Health Emory University Atlanta GA
- Department of Medicine (Cardiology), School of Medicine Emory University Atlanta GA
| |
Collapse
|
2
|
Huang M, Bliwise DL, Shah A, Johnson DA, Clifford GD, Hall MH, Krafty RT, Goldberg J, Sloan R, Ko YA, Da Poian G, Perez-Alday EA, Murrah N, Levantsevych OM, Shallenberger L, Abdulbaki R, Vaccarino V. The temporal relationships between sleep disturbance and autonomic dysregulation: A co-twin control study. Int J Cardiol 2022; 362:176-182. [PMID: 35577169 PMCID: PMC10197091 DOI: 10.1016/j.ijcard.2022.05.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 05/09/2022] [Accepted: 05/11/2022] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Sleep disturbance is associated with autonomic dysregulation, but the temporal directionality of this relationship remains uncertain. The objective of this study was to evaluate the temporal relationships between objectively measured sleep disturbance and daytime or nighttime autonomic dysregulation in a co-twin control study. METHODS A total of 68 members (34 pairs) of the Vietnam Era Twin Registry were studied. Twins underwent 7-day in-home actigraphy to derive objective measures of sleep disturbance. Autonomic function indexed by heart rate variability (HRV) was obtained using 7-day ECG monitoring with a wearable patch. Multivariable vector autoregressive models with Granger causality tests were used to examine the temporal directionality of the association between daytime and nighttime HRV and sleep metrics, within twin pairs, using 7-day collected ECG data. RESULTS Twins were all male, mostly white (96%), with mean (SD) age of 69 (2) years. Higher daytime HRV across multiple domains was bidirectionally associated with longer total sleep time and lower wake after sleep onset; these temporal dynamics were extended to a window of 48 h. In contrast, there was no association between nighttime HRV and sleep measures in subsequent nights, or between sleep measures from previous nights and subsequent nighttime HRV. CONCLUSIONS Daytime, but not nighttime, autonomic function indexed by HRV has bidirectional associations with several sleep dimensions. Dysfunctions in autonomic regulation during wakefulness can lead to subsequent shorter sleep duration and worse sleep continuity, and vice versa, and their influence on each other may extend beyond 24 h.
Collapse
Affiliation(s)
- Minxuan Huang
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Donald L Bliwise
- Department of Neurology, School of Medicine, Emory University, Atlanta, GA, USA
| | - Amit Shah
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Medicine (Cardiology), School of Medicine, Emory University, Atlanta, GA, USA; Atlanta Veteran Affairs Medical Center, Decatur, GA, USA
| | - Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Gari D Clifford
- Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, USA; Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Martica H Hall
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Robert T Krafty
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jack Goldberg
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA; Vietnam Era Twin Registry, Seattle Epidemiologic Research and Information Center, US Department of Veterans Affairs, Seattle, WA, USA
| | - Richard Sloan
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Yi-An Ko
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Giulia Da Poian
- Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Erick A Perez-Alday
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Nancy Murrah
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Oleksiy M Levantsevych
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Lucy Shallenberger
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Rami Abdulbaki
- Department of Pathology, Georgia Washington University Hospital, Washington, DC, USA
| | - Viola Vaccarino
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Medicine (Cardiology), School of Medicine, Emory University, Atlanta, GA, USA.
| |
Collapse
|
3
|
Sadiq I, Perez-Alday EA, Shah AJ, Clifford GD. Breathing rate and heart rate as confounding factors in measuring T wave alternans and morphological variability in ECG. Physiol Meas 2021; 42:015002. [PMID: 33296886 DOI: 10.1088/1361-6579/abd237] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE High morphological variability magnitude (MVM) and microvolt T wave alternans (TWA) within an electrocardiogram (ECG) signifies increased electrical instability and risk of sudden cardiac death. However, the influence of breathing rate (BR), heart rate (HR), and signal-to-noise ratio (SNR) is unknown and may inflate measured values. APPROACH We synthesize ECGs with morphologies derived from the Physikalisch-Technische Bundesanstalt Database. We calculate MVM and TWA at varying BRs, HRs and SNRs. We compare the MVM and TWA of signal with versus without breathing at varying HRs and SNRs. We then quantify the percentage of MVM and TWA estimates affected by BR and HR in a healthy population and assess the effect of removing these affected estimates on a method for classifying individuals with and without post-traumatic stress disorder (PTSD). MAIN RESULTS For signals with high SNR (>15 dB), MVM is significantly increased when BRs are > 9 respirations/minute (rpm) and HRs are < 100 beats/minute (bpm). Increased TWAs are detected for HR/BR pairs of 60/15, 60/30 and 120/30 bpm/rpm. For 18 healthy participants, 8.33% of TWA windows and 66.76% of MVM windows are affected by BR and HR. On average, the number of windows with TWA elevations > 47 μV decreases by 23% after excluding regions with significant BR and HR effect. Adding HR and BR to a morphological variability feature increases the classification performance by 6% for individuals with and without PTSD. SIGNIFICANCE Physiological BR and HR significantly increase MVM and TWA , indicating that BR and HR should be considered separately as confounders. The code for this work has been released as part of an open-source toolbox.
Collapse
Affiliation(s)
- Ismail Sadiq
- Department of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America
| | | | | | | |
Collapse
|
4
|
Howell SJ, German D, Bender A, Phan F, Mukundan SV, Perez-Alday EA, Rogovoy NM, Haq KT, Yang K, Wirth A, Jensen K, Tereshchenko LG. Does Sex Modify an Association of Electrophysiological Substrate with Sudden Cardiac Death? The Atherosclerosis Risk in Communities (ARIC) Study. Cardiovasc Digit Health J 2020; 1:80-88. [PMID: 34308405 PMCID: PMC8301262 DOI: 10.1016/j.cvdhj.2020.08.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Background Sex is a well-recognized risk factor for sudden cardiac death (SCD). We hypothesized that sex modifies the association of electrophysiological (EP) substrate with SCD. Objective The purpose of this study was to determine whether there are sex differences in electrocardiographic (ECG) measures and whether sex modifies the association of ECG measures of EP substrate with SCD. Methods Participants from the Atherosclerosis Risk in Communities study with analyzable ECGs (n = 14,725; age 54.2 ± 5.8 years; 55% female; 74% white) were included. EP substrate was characterized by heart rate, QRS, QTc, Cornell voltage, spatial ventricular gradient (SVG), and sum absolute QRST integral (SAI QRST) ECG metrics. Two competing outcomes were adjudicated: SCD and non-SCD. Interaction of ECG metrics with sex was studied in Cox proportional hazards and Fine-Gray competing risk models. Model 1 was adjusted for prevalent cardiovascular disease (CVD) and risk factors. Time-updated model 2 was additionally adjusted for incident nonfatal CVD. Relative hazard ratio (RHR) and relative subhazard ratio with 95% confidence interval (CI) for SCD and non-SCD risk for women relative to men were calculated. Model 1 was adjusted for prevalent CVD and risk factors. Time-updated model 2 was additionally adjusted for incident nonfatal CVD. Results Over median follow-up of 24.4 years, there were 530 SCDs (incidence 1.72; 95% CI 1.58–1.88 per 1000 person-years). Women compared to men experienced a greater risk of SCD associated with Cornell voltage (RHR 1.18; 95% CI 1.06–1.32; P = .003), SAI QRST (RHR 1.16; 95% CI 1.04–1.30; P = .007), and SVG magnitude (RHR 1.24; 95% CI 1.05–1.45; P = .009), independently from incident CVD. Conclusion In women, the global EP substrate is associated with up to 24% greater risk of SCD than in men, suggesting differences in underlying mechanisms and the need for sex-specific SCD risk stratification.
Collapse
Affiliation(s)
- Stacey J. Howell
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - David German
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Aron Bender
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Francis Phan
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Srini V. Mukundan
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
- Rush University Medical Center, Chicago, Illinois
| | - Erick A. Perez-Alday
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Nichole M. Rogovoy
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Kazi T. Haq
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Katherine Yang
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
- Sidney Kimmel Medical College, Philadelphia, Pennsylvania
| | - Ashley Wirth
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Kelly Jensen
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Larisa G. Tereshchenko
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
- Cardiovascular Division, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
- Address reprint requests and correspondence: Dr Larisa G. Tereshchenko, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, UHN62, Portland, OR 97239.
| |
Collapse
|
5
|
Perez-Alday EA, Haq KT, German DM, Hamilton C, Johnson K, Phan F, Rogovoy NM, Yang K, Wirth A, Thomas JA, Dalouk K, Fuss C, Ferencik M, Heitner S, Tereshchenko LG. Mechanisms of Arrhythmogenicity in Hypertrophic Cardiomyopathy: Insight From Non-invasive Electrocardiographic Imaging. Front Physiol 2020; 11:344. [PMID: 32390862 PMCID: PMC7194131 DOI: 10.3389/fphys.2020.00344] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 03/26/2020] [Indexed: 11/25/2022] Open
Abstract
Background Mechanisms of arrhythmogenicity in hypertrophic cardiomyopathy (HCM) are not well understood. Objective To characterize an electrophysiological substrate of HCM in comparison to ischemic cardiomyopathy (ICM), or healthy individuals. Methods We conducted a prospective case-control study. The study enrolled HCM patients at high risk for ventricular tachyarrhythmia (VT) [n = 10; age 61 ± 9 years; left ventricular ejection fraction (LVEF) 60 ± 9%], and three comparison groups: healthy individuals (n = 10; age 28 ± 6 years; LVEF > 70%), ICM patients with LV hypertrophy (LVH) and known VT (n = 10; age 64 ± 9 years; LVEF 31 ± 15%), and ICM patients with LVH and no known VT (n = 10; age 70 ± 7 years; LVEF 46 ± 16%). All participants underwent 12-lead ECG, cardiac CT or MRI, and 128-electrode body surface mapping (BioSemi ActiveTwo, Netherlands). Non-invasive voltage and activation maps were reconstructed using the open-source SCIRun (University of Utah) inverse problem-solving environment. Results In the epicardial basal anterior segment, HCM patients had the greatest ventricular activation dispersion [16.4 ± 5.5 vs. 13.1 ± 2.7 (ICM with VT) vs. 13.8 ± 4.3 (ICM no VT) vs. 8.1 ± 2.4 ms (Healthy); P = 0.0007], the largest unipolar voltage [1094 ± 211 vs. 934 ± 189 (ICM with VT) vs. 898 ± 358 (ICM no VT) vs. 842 ± 90 μV (Healthy); P = 0.023], and the greatest voltage dispersion [median (interquartile range) 215 (161–281) vs. 189 (143–208) (ICM with VT) vs. 158 (109–236) (ICM no VT) vs. 110 (106–168) μV (Healthy); P = 0.041]. Differences were also observed in other endo-and epicardial basal and apical segments. Conclusion HCM is characterized by a greater activation dispersion in basal segments, a larger voltage, and a larger voltage dispersion through LV. Clinical Trial Registration www.clinicaltrials.gov Unique identifier: NCT02806479.
Collapse
Affiliation(s)
- Erick A Perez-Alday
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States
| | - Kazi T Haq
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States
| | - David M German
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States
| | - Christopher Hamilton
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States
| | - Kyle Johnson
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States
| | - Francis Phan
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States
| | - Nichole M Rogovoy
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States
| | - Katherine Yang
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States.,Sidney Kimmel Medical College, Philadelphia, PA, United States
| | - Ashley Wirth
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States
| | - Jason A Thomas
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States
| | - Khidir Dalouk
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States.,Portland VA Medical Center, Portland, OR, United States
| | - Cristina Fuss
- Department of Diagnostic Radiology, Oregon Health & Science University, Portland, OR, United States
| | - Maros Ferencik
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States
| | - Stephen Heitner
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States
| | - Larisa G Tereshchenko
- Department of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States
| |
Collapse
|
6
|
Perez-Alday EA, Bender A, German D, Mukundan SV, Hamilton C, Thomas JA, Li-Pershing Y, Tereshchenko LG. Dynamic predictive accuracy of electrocardiographic biomarkers of sudden cardiac death within a survival framework: the Atherosclerosis Risk in Communities (ARIC) study. BMC Cardiovasc Disord 2019; 19:255. [PMID: 31726979 PMCID: PMC6854807 DOI: 10.1186/s12872-019-1234-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 10/23/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND The risk of sudden cardiac death (SCD) is known to be dynamic. However, the accuracy of a dynamic SCD prediction is unknown. We aimed to measure the dynamic predictive accuracy of ECG biomarkers of SCD and competing non-sudden cardiac death (non-SCD). METHODS Atherosclerosis Risk In Community study participants with analyzable ECGs in sinus rhythm were included (n = 15,716; 55% female, 73% white, age 54.2 ± 5.8 y). ECGs of 5 follow-up visits were analyzed. Global electrical heterogeneity and traditional ECG metrics (heart rate, QRS, QTc) were measured. Adjudicated SCD was the primary outcome; non-SCD was the competing outcome. Time-dependent area under the receiver operating characteristic curve (ROC(t) AUC) analysis was performed to assess the prediction accuracy of a continuous biomarker in a period of 3,6,9 months, and 1,2,3,5,10, and 15 years using a survival analysis framework. Reclassification improvement as compared to clinical risk factors (age, sex, race, diabetes, hypertension, coronary heart disease, stroke) was measured. RESULTS Over a median 24.4 y follow-up, there were 577 SCDs (incidence 1.76 (95%CI 1.63-1.91)/1000 person-years), and 829 non-SCDs [2.55 (95%CI 2.37-2.71)]. No ECG biomarkers predicted SCD within 3 months after ECG recording. Within 6 months, spatial ventricular gradient (SVG) elevation predicted SCD (AUC 0.706; 95%CI 0.526-0.886), but not a non-SCD (AUC 0.527; 95%CI 0.303-0.75). SVG elevation more accurately predicted SCD if the ECG was recorded 6 months before SCD (AUC 0.706; 95%CI 0.526-0.886) than 2 years before SCD (AUC 0.608; 95%CI 0.515-0.701). Within the first 3 months after ECG recording, only SVG azimuth improved reclassification of the risk beyond clinical risk factors: 18% of SCD events were reclassified from low or intermediate risk to a high-risk category. QRS-T angle was the strongest long-term predictor of SCD (AUC 0.710; 95%CI 0.668-0.753 for ECG recorded within 10 years before SCD). CONCLUSION Short-term and long-term predictive accuracy of ECG biomarkers of SCD differed, reflecting differences in transient vs. persistent SCD substrates. The dynamic predictive accuracy of ECG biomarkers should be considered for competing SCD risk scores. The distinction between markers predicting short-term and long-term events may represent the difference between markers heralding SCD (triggers or transient substrates) versus markers identifying persistent substrate.
Collapse
Affiliation(s)
- Erick A. Perez-Alday
- Knight Cardiovascular Institute, Department of Medicine, Oregon Health & Science University School of Medicine, 3181 SW Sam Jackson Park Rd; UHN62, Portland, OR 97239 USA
- Department of Biomedical Informatics, Emory University, Atlanta, GA USA
| | - Aron Bender
- Knight Cardiovascular Institute, Department of Medicine, Oregon Health & Science University School of Medicine, 3181 SW Sam Jackson Park Rd; UHN62, Portland, OR 97239 USA
- UCLA Cardiac Arrhythmia Center, University of California Los Angeles, Los Angeles, CA USA
| | - David German
- Knight Cardiovascular Institute, Department of Medicine, Oregon Health & Science University School of Medicine, 3181 SW Sam Jackson Park Rd; UHN62, Portland, OR 97239 USA
| | - Srini V. Mukundan
- Knight Cardiovascular Institute, Department of Medicine, Oregon Health & Science University School of Medicine, 3181 SW Sam Jackson Park Rd; UHN62, Portland, OR 97239 USA
- Rush University, Chicago, IL USA
| | - Christopher Hamilton
- Knight Cardiovascular Institute, Department of Medicine, Oregon Health & Science University School of Medicine, 3181 SW Sam Jackson Park Rd; UHN62, Portland, OR 97239 USA
- Rosalind Franklin University of Medicine and Science, North Chicago, IL USA
| | - Jason A. Thomas
- Knight Cardiovascular Institute, Department of Medicine, Oregon Health & Science University School of Medicine, 3181 SW Sam Jackson Park Rd; UHN62, Portland, OR 97239 USA
- University of Washington, Seattle, WA USA
| | - Yin Li-Pershing
- Knight Cardiovascular Institute, Department of Medicine, Oregon Health & Science University School of Medicine, 3181 SW Sam Jackson Park Rd; UHN62, Portland, OR 97239 USA
| | - Larisa G. Tereshchenko
- Knight Cardiovascular Institute, Department of Medicine, Oregon Health & Science University School of Medicine, 3181 SW Sam Jackson Park Rd; UHN62, Portland, OR 97239 USA
- Cardiovascular Division, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD USA
| |
Collapse
|
7
|
Jaimes R, McCullough D, Siegel B, Swift L, McInerney D, Hiebert J, Perez-Alday EA, Trenor B, Sheng J, Saiz J, Tereshchenko LG, Posnack NG. Plasticizer Interaction With the Heart: Chemicals Used in Plastic Medical Devices Can Interfere With Cardiac Electrophysiology. Circ Arrhythm Electrophysiol 2019; 12:e007294. [PMID: 31248280 PMCID: PMC6693678 DOI: 10.1161/circep.119.007294] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Phthalates are used as plasticizers in the manufacturing of flexible, plastic medical products. Patients can be subjected to high phthalate exposure through contact with plastic medical devices. We aimed to investigate the cardiac safety and biocompatibility of mono-2-ethylhexyl phthalate (MEHP), a phthalate with documented exposure in intensive care patients. METHODS Optical mapping of transmembrane voltage and pacing studies were performed on isolated, Langendorff-perfused rat hearts to assess cardiac electrophysiology after MEHP exposure compared with controls. MEHP dose was chosen based on reported blood concentrations after an exchange transfusion procedure. RESULTS Thirty-minute exposure to MEHP increased the atrioventricular node (147 versus 107 ms) and ventricular (117 versus 77.5 ms) effective refractory periods, compared with controls. Optical mapping revealed prolonged action potential duration at slower pacing cycle lengths, akin to reverse use dependence. The plateau phase of the action potential duration restitution curve steepened and became monophasic in MEHP-exposed hearts (0.18 versus 0.06 slope). Action potential duration lengthening occurred during late-phase repolarization resulting in triangulation (70.3 versus 56.6 ms). MEHP exposure also slowed epicardial conduction velocity (35 versus 60 cm/s), which may be partly explained by inhibition of Nav1.5 (874 and 231 µmol/L half-maximal inhibitory concentration, fast and late sodium current). CONCLUSIONS This study highlights the impact of acute MEHP exposure, using a clinically relevant dose, on cardiac electrophysiology in the intact heart. Heightened clinical exposure to plasticized medical products may have cardiac safety implications-given that action potential triangulation and electrical restitution modifications are a risk factor for early after depolarizations and cardiac arrhythmias.
Collapse
Affiliation(s)
- Rafael Jaimes
- Sheikh Zayed Institute for Pediatric Surgical Innovation (R.J., D. McCullough, L.S., D. McInerney, J.H., N.G.P.), Children's National Health System, Washington DC.,Children's National Heart Institute (R.J., B.S., L.S., N.G.P.), Children's National Health System, Washington DC
| | - Damon McCullough
- Sheikh Zayed Institute for Pediatric Surgical Innovation (R.J., D. McCullough, L.S., D. McInerney, J.H., N.G.P.), Children's National Health System, Washington DC
| | - Bryan Siegel
- Children's National Heart Institute (R.J., B.S., L.S., N.G.P.), Children's National Health System, Washington DC
| | - Luther Swift
- Sheikh Zayed Institute for Pediatric Surgical Innovation (R.J., D. McCullough, L.S., D. McInerney, J.H., N.G.P.), Children's National Health System, Washington DC.,Children's National Heart Institute (R.J., B.S., L.S., N.G.P.), Children's National Health System, Washington DC
| | - Daniel McInerney
- Sheikh Zayed Institute for Pediatric Surgical Innovation (R.J., D. McCullough, L.S., D. McInerney, J.H., N.G.P.), Children's National Health System, Washington DC
| | - James Hiebert
- Sheikh Zayed Institute for Pediatric Surgical Innovation (R.J., D. McCullough, L.S., D. McInerney, J.H., N.G.P.), Children's National Health System, Washington DC
| | - Erick A Perez-Alday
- Knight Cardiovascular Institute, Oregon Health and Science University, Portland (E.A.P.-A., L.G.T.)
| | - Beatriz Trenor
- Ci2B-Universitat Politècnica de València, Spain (B.T., F.J.S.R.)
| | | | - Javier Saiz
- Sheikh Zayed Institute for Pediatric Surgical Innovation (R.J., D. McCullough, L.S., D. McInerney, J.H., N.G.P.), Children's National Health System, Washington DC
| | - Larisa G Tereshchenko
- Knight Cardiovascular Institute, Oregon Health and Science University, Portland (E.A.P.-A., L.G.T.)
| | - Nikki Gillum Posnack
- Sheikh Zayed Institute for Pediatric Surgical Innovation (R.J., D. McCullough, L.S., D. McInerney, J.H., N.G.P.), Children's National Health System, Washington DC.,Children's National Heart Institute (R.J., B.S., L.S., N.G.P.), Children's National Health System, Washington DC.,Departments of Pediatrics and Pharmacology and Physiology, School of Medicine and Health Sciences: George Washington University, Washington DC (N.G.P.)
| |
Collapse
|
8
|
Thomas JA, A Perez-Alday E, Junell A, Newton K, Hamilton C, Li-Pershing Y, German D, Bender A, Tereshchenko LG. Vectorcardiogram in athletes: The Sun Valley Ski Study. Ann Noninvasive Electrocardiol 2018; 24:e12614. [PMID: 30403442 DOI: 10.1111/anec.12614] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 09/05/2018] [Accepted: 10/12/2018] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Global electrical heterogeneity (GEH) is associated with sudden cardiac death (SCD) in adults of 45 years and above. However, GEH has not been previously measured in young athletes. The goal of this study was to establish a reference for vectorcardiograpic (VCG) metrics in male and female athletes. METHODS Skiers (n = 140; mean age 19.2 ± 3.5 years; 66% male, 94% white; 53% professional athletes) were enrolled in a prospective cohort. Resting 12-lead ECGs were interpreted per the International ECG criteria. Associations of age, sex, and athletic performance with GEH were studied. RESULTS In age and training level-adjusted analyses, male sex was associated with a larger T vector [T peak magnitude +186 (95% CI 106-266) µV] and a wider spatial QRS-T angle [+28.2 (17.3-39.2)°] as compared to women. Spatial QRS-T angle in the ECG left ventricular hypertrophy (LVH) voltage group (n = 21; 15%) and normal ECG group did not differ (67.7 ± 25.0 vs. 66.8 ± 28.2; p = 0.914), suggesting that ECG LVH voltage in athletes reflects physiological remodeling. In contrast, skiers with right ventricular hypertrophy (RVH) voltage (n = 26, 18.6%) had wider QRS-T angle (92.7 ± 29.6 vs. 66.8 ± 28.2°; p = 0.001), larger SAI QRST (194.9 ± 30.2 vs. 157.8 ± 42.6 mV × ms; p < 0.0001), but similar peak SVG vector magnitude (1976 ± 548 vs. 1939 ± 395 µV; p = 0.775) as compared to the normal ECG group. Better athletic performance was associated with the narrower QRS-T angle. Each 10% worsening in an athlete's Federation Internationale de' Ski downhill ranking percentile was associated with an increase in spatial QRS-T angle by 2.1 (95% CI 0.3-3.9) degrees (p = 0.013). CONCLUSION Vectorcardiograpic adds nuances to ECG phenomena in athletes.
Collapse
Affiliation(s)
- Jason A Thomas
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon.,Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington
| | - Erick A Perez-Alday
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Allison Junell
- School of Medicine, Oregon Health and Science University, Portland, Oregon
| | - Kelley Newton
- School of Medicine, Oregon Health and Science University, Portland, Oregon
| | - Christopher Hamilton
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Yin Li-Pershing
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - David German
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Aron Bender
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon
| | - Larisa G Tereshchenko
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon.,Johns Hopkins University School of Medicine, Baltimore, Maryland
| |
Collapse
|
9
|
Perez-Alday EA, Hamilton C, Li-Pershing A, Monroy-Trujillo JM, Estrella M, Sozio SM, Jaar B, Parekh R, Tereshchenko L. The Reproducibility of Global Electrical Heterogeneity ECG Measurements. Comput Cardiol (2010) 2018; 45:10.22489/cinc.2018.162. [PMID: 32296724 PMCID: PMC7158900 DOI: 10.22489/cinc.2018.162] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
BACKGROUND Global electrical heterogeneity (GEH) is a useful predictor of adverse clinical outcomes. However, reproducibility of GEH measurements on 10-second routine clinical ECG is unknown. METHODS Data of the prospective cohort study of incident hemodialysis patients (n=253; mean age 54.6±13.5y; 56% male; 79% African American) were analysed. Two random 10-second segments of 5-minute ECG recording in sinus rhythm were compared. GEH was measured as spatial QRS-T angle, spatial ventricular gradient (SVG) magnitude and direction (azimuth and elevation), and a scalar value of SVG measured by (1) sum absolute QRST integral (SAI QRST), and (2) QT integral on vector magnitude signal (iVMQT). Bland-Altman analysis was used to calculate agreement. RESULTS For all studied vectorcardiographic metrics, agreement was substantial (Lin's concordance coefficient >0.98), and precision was perfect (>99.99%). 95% limits of agreement were ±14° for spatial QRS-T angle, ±13° for SVG azimuth, ±4° for SVG elevation, ±14 mV*ms for SVG magnitude, and ±17 mV*ms for SAI QRST. SAI QRST and iVMQT were in substantial agreement with each other. CONCLUSION Reproducibility of a 10-second automated GEH ECG measurements was substantial, and precision was perfect.
Collapse
Affiliation(s)
| | | | | | | | - Michelle Estrella
- Johns Hopkins University, Baltimore, MD, USA
- University of California San Francisco, San Francisco, CA, USA
| | | | | | - Rulan Parekh
- Johns Hopkins University, Baltimore, MD, USA
- University of Toronto, Toronto, Canada
| | - Larisa Tereshchenko
- Oregon Health & Science University, Portland, OR, USA
- Johns Hopkins University, Baltimore, MD, USA
| |
Collapse
|
10
|
Perez-Alday EA, Ni H, Hamilton C, Li-Pershing A, Jaar B, Monroy-Trujillo JM, Estrella M, Parekh R, Zhang H, Tereshchenko L. A Multi-Scale Investigation of Global Electrical Heterogeneity: Effects of Body Habitus, Respiration, and Tissue Conductivity. Comput Cardiol (2010) 2018; 45:10.22489/cinc.2018.161. [PMID: 32296723 PMCID: PMC7158893 DOI: 10.22489/cinc.2018.161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Extracardiac factors such as respiration, fluid overload and body habitus have important effects on the ECG voltage. Vectorcardiographic (VCG) Global Electrical Heterogeneity (GEH) is associated with sudden cardiac death (SCD). Risk of SCD is especially high in end-stage renal disease patients (ESRD) on dialysis. However, extracardiac factors challenge ECG interpretation in ESRD patients. The effects of extracardiac factors on GEH have not been fully studied. To1 assess effects of extracardiac factors on ECG, we conducted a multi-scale study. An experimental data of ESRD patients and a previously developed biophysically detailed heart-torso model were used to investigate the effects of respiration, fluid overload and body habitus on the VCG and GEH.
Collapse
Affiliation(s)
| | - Haibo Ni
- University of California Davis, Davis, CA, USA
| | | | | | | | | | - Michelle Estrella
- Johns Hopkins University, Baltimore, MD, USA
- University of California San Francisco, San Francisco, CA, USA
| | - Rulan Parekh
- Johns Hopkins University, Baltimore, MD, USA
- University of Toronto, Toronto, Canada
| | - Henggui Zhang
- University of Manchester, Manchester, United Kingdom
| | - Larisa Tereshchenko
- Oregon Health & Science University, Portland, OR, USA
- Johns Hopkins University, Baltimore, MD, USA
| |
Collapse
|
11
|
Waks JW, Perez-Alday EA, Tereshchenko LG. Understanding Mechanisms of Cardiac Resynchronization Therapy Response to Improve Patient Selection and Outcomes. Circ Arrhythm Electrophysiol 2018; 11:e006290. [PMID: 29654133 DOI: 10.1161/circep.118.006290] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Jonathan W Waks
- Division of Cardiovascular Medicine, Harvard-Thorndike Electrophysiology Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (J.W.W.). Knight Cardiovascular Institute, Oregon Health and Science University, Portland (E.A.P.-A., L.G.T.)
| | - Erick A Perez-Alday
- Division of Cardiovascular Medicine, Harvard-Thorndike Electrophysiology Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (J.W.W.). Knight Cardiovascular Institute, Oregon Health and Science University, Portland (E.A.P.-A., L.G.T.)
| | - Larisa G Tereshchenko
- Division of Cardiovascular Medicine, Harvard-Thorndike Electrophysiology Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (J.W.W.). Knight Cardiovascular Institute, Oregon Health and Science University, Portland (E.A.P.-A., L.G.T.).
| |
Collapse
|
12
|
German DM, Perez-Alday EA, Bender A, Thomas J, Hamilton C, Mukundan S, Post W, Solomon S, Soliman E, Sotoodehnia N, Siscovick D, Tereshchenko L. ELECTROCARDIOGRAPHIC SELVESTER SCORE IS ASSOCIATED WITH SUDDEN AND NON-SUDDEN CARDIAC DEATH: THE ATHEROSCLEROSIS RISK IN COMMUNITIES STUDY AND CARDIOVASCULAR HEALTH STUDY. J Am Coll Cardiol 2018. [DOI: 10.1016/s0735-1097(18)31009-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
|
13
|
Perez-Alday EA, Thomas J, Kabir M, Sedaghat G, van Dam E, van Dam P, Tereshchenko LG. Torso mesh and body surface electrodes position reconstruction using a Kinect camera. J Electrocardiol 2018. [DOI: 10.1016/j.jelectrocard.2017.12.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
14
|
Kabir MM, Perez-Alday EA, Thomas J, Sedaghat G, Tereshchenko LG. Optimal configuration of adhesive ECG patches suitable for long-term monitoring of a vectorcardiogram. J Electrocardiol 2017; 50:342-348. [PMID: 28069275 PMCID: PMC5420469 DOI: 10.1016/j.jelectrocard.2016.12.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Indexed: 11/16/2022]
Abstract
The purpose of this study was to develop optimal configuration of adhesive ECG patches placement on the torso, which would provide the best agreement with the Frank orthogonal ECGs. Ten seconds of orthogonal ECG followed by 3-5min of ECGs using patches at 5 different locations simultaneously on the torso were recorded in 50 participants at rest in sitting position. Median beat was generated for each ECG and 3 patch ECGs that best correlate with orthogonal ECGs were selected for each participant. For agreement analysis, spatial QRS-T angle, spatial QRS and T vector characteristics, spatial ventricular gradient, roundness, thickness and planarity of vectorcardiographic (VCG) loops were measured. Key VCG parameters showed high agreement in Bland-Altman analysis (spatial QRS-T angle on 3-patch ECG vs. Frank ECG bias 0.3 (95% limits of agreement [-6.23;5.71 degrees]), Lin's concordance coefficient=0.996). In conclusion, newly developed orthogonal 3-patch ECG can be used for long-term VCG monitoring.
Collapse
Affiliation(s)
- Muammar M Kabir
- Knight Cardiovascular Institute, Oregon Health and Science University, Portland, USA
| | - Erick A Perez-Alday
- Knight Cardiovascular Institute, Oregon Health and Science University, Portland, USA
| | - Jason Thomas
- Knight Cardiovascular Institute, Oregon Health and Science University, Portland, USA
| | - Golriz Sedaghat
- Knight Cardiovascular Institute, Oregon Health and Science University, Portland, USA
| | - Larisa G Tereshchenko
- Knight Cardiovascular Institute, Oregon Health and Science University, Portland, USA.
| |
Collapse
|