Author Reply to Commentary: Thinking nonlinearly about aortic biomechanics
Bibliographic record
Abstract
See Commentary on page 45. See Commentary on page 45. Drs Plestis and Rajagopal1Plestis K.A. Rajagopal K. Commentary: thinking nonlinearly about aortic biomechanics.J Thorac Cardiovasc Surg Open. 2023; 13: 45-46Scopus (1) Google Scholar have provided a commentary on our study of the relationship between aortic geometry and material properties of the aorta. Unfortunately, our work was misread. Here, we will attempt to dispel any confusion by addressing each of their 4 points.1.“It is unclear what mathematical model the authors are using.” The data were not used to fit a model. As detailed in our methods,2Chung J. Lachapelle K. Wener E. Cartier R. De Varennes B. Fraser R. et al.Energy loss, a novel biomechanical parameter, correlates with aortic aneurysm size and histopathologic findings.J Thorac Cardiovasc Surg. 2014; 148: 1082-1089https://doi.org/10.1016/j.jtcvs.2014.06.021Abstract Full Text Full Text PDF PubMed Scopus (54) Google Scholar, 3Chung J.C.-Y. Wong E. Tang M. Eliathamby D. Forbes T.L. Butany J. et al.Biomechanics of aortic dissection: a comparison of aortas associated with bicuspid and tricuspid aortic valves.J Am Heart Assoc. 2020; 9: e016715https://doi.org/10.1161/JAHA.120.016715Crossref PubMed Scopus (35) Google Scholar, 4Tang M. Eliathamby D. Ouzounian M. Simmons C.A. Chung J.C.-Y. Dependency of energy loss on strain rate, strain magnitude and preload: towards development of a novel biomarker for aortic aneurysm dissection risk.J Mech Behav Biomed Mater. 2021; 124: 104736https://doi.org/10.1016/j.jmbbm.2021.104736Crossref PubMed Scopus (6) Google Scholar, 5Eliathamby D. Keshishi M. Ouzounian M. Tan K. Simmons C.A. Chung J. et al.Ascending aortic geometry and its relationship to the biomechanical properties of aortic tissue.J Thorac Cardiovasc Surg Open. 2023; 13: 32-44Scopus (3) Google Scholar we made no assumptions of material model; all measures are derived directly from stress-strain curves obtained with rigorous, physically accurate, and biologically relevant mechanical tests. The specific protocol and derivation of material properties can be found in our current and previously published work.2Chung J. Lachapelle K. Wener E. Cartier R. De Varennes B. Fraser R. et al.Energy loss, a novel biomechanical parameter, correlates with aortic aneurysm size and histopathologic findings.J Thorac Cardiovasc Surg. 2014; 148: 1082-1089https://doi.org/10.1016/j.jtcvs.2014.06.021Abstract Full Text Full Text PDF PubMed Scopus (54) Google Scholar, 3Chung J.C.-Y. Wong E. Tang M. Eliathamby D. Forbes T.L. Butany J. et al.Biomechanics of aortic dissection: a comparison of aortas associated with bicuspid and tricuspid aortic valves.J Am Heart Assoc. 2020; 9: e016715https://doi.org/10.1161/JAHA.120.016715Crossref PubMed Scopus (35) Google Scholar, 4Tang M. Eliathamby D. Ouzounian M. Simmons C.A. Chung J.C.-Y. Dependency of energy loss on strain rate, strain magnitude and preload: towards development of a novel biomarker for aortic aneurysm dissection risk.J Mech Behav Biomed Mater. 2021; 124: 104736https://doi.org/10.1016/j.jmbbm.2021.104736Crossref PubMed Scopus (6) Google Scholar, 5Eliathamby D. Keshishi M. Ouzounian M. Tan K. Simmons C.A. Chung J. et al.Ascending aortic geometry and its relationship to the biomechanical properties of aortic tissue.J Thorac Cardiovasc Surg Open. 2023; 13: 32-44Scopus (3) Google Scholar Thus, our characterization is the most general it can be and not distorted by assumptions intrinsic to a specific material model. We distill the full biaxial stress-strain curves to metrics that efficiently describe key aspects of mechanical behavior and have clinical relevance as potentially being measurable in vivo: It is neither necessary nor useful to clinicians to apply more comprehensive material models in this context.2.“Linearized elasticity can only be applied to small deformations.” We make no assumptions of linear elasticity. Plestis and Rajagopal1Plestis K.A. Rajagopal K. Commentary: thinking nonlinearly about aortic biomechanics.J Thorac Cardiovasc Surg Open. 2023; 13: 45-46Scopus (1) Google Scholar appear to have confused Young's tangential modulus. As we defined in our study, we used the tangential modulus, which is widely used in this field. This also means that their statement that tangential modulus and hysteresis are mutually exclusive is incorrect. For further explanation on these definitions, we refer the reader to our co-Principal Investigator’s textbook on biomechanics.6Ethier C.R. Simmons C.A. Introductory Biomechanics. Cambridge University Press, 2007https://doi.org/10.1017/CBO9780511809217Crossref Google Scholar The statement that energy loss/hysteresis in the aorta is “overwhelmingly derived from left ventricular function” also points to a lack of understanding of how hysteresis is measured in biaxial tensile tests. Hysteresis is an intrinsic material property of the aorta and is independent of left ventricular function.3.“Based upon an incorrect choice of model, one could potentially incorrectly identify a relationship between two variables.” We think we have adequately addressed this bullet point already.4.“To whatever extent correlations between aortic material properties and aortic geometry could exist, they are correlations without causation.” Although the fundamental pathophysiology driving aneurysm formation and biomechanics is an active area of research in our laboratory and many others, we were extremely careful to never imply causation. The relationship between an aorta's geometry and its underlying material properties is a question of large interest and importance to those with interest in aortic disease. Plestis and Rajagopal1Plestis K.A. Rajagopal K. Commentary: thinking nonlinearly about aortic biomechanics.J Thorac Cardiovasc Surg Open. 2023; 13: 45-46Scopus (1) Google Scholar demonstrate understanding that material properties may differ in aneurysms of different sizes. They assert “pathophysiological mechanisms that underlie abnormal aortic mechanics likely are the same–or at least substantially overlapping–with those that underlie aortic dilatation.” They also demonstrate understanding that “material properties are definitionally independent of material geometry.” Herein lies the crux of our study: Diameter is the standard all surgeons continue to use, including in the most recent 2022 American Heart Association/American College of Cardiology/American Association for Thoracic Surgeon aortic guidelines,7Isselbacher E.M. Preventza O. Black III, J.M. Augoustides J.G. Beck A.W. Bolen M.A. et al.2022 ACC/AHA guideline for the diagnosis and management of aortic disease: a report of the American Heart Association/American college of Cardiology Joint Committee on clinical practice guidelines.J Am Coll Cardiol. 2022; 80: e223-e393https://doi.org/10.1016/j.jacc.2022.08.004Crossref PubMed Scopus (59) Google Scholar because it can actually be routinely measured. Length has recently garnered increasing interest.5Eliathamby D. Keshishi M. Ouzounian M. Tan K. Simmons C.A. Chung J. et al.Ascending aortic geometry and its relationship to the biomechanical properties of aortic tissue.J Thorac Cardiovasc Surg Open. 2023; 13: 32-44Scopus (3) Google Scholar,8Krüger T. Forkavets O. Veseli K. Lausberg H. Vöhringer L. Schneider W. et al.Ascending aortic elongation and the risk of dissection.Eur J Cardiothorac Surg. 2016; 50: 241-247https://doi.org/10.1093/ejcts/ezw025Crossref PubMed Scopus (66) Google Scholar, 9Wu J. Zafar M.A. Li Y. Saeyeldin A. Huang Y. Zhao R. et al.Ascending aortic length and risk of aortic adverse events: the neglected dimension.J Am Coll Cardiol. 2019; 74: 1883-1894https://doi.org/10.1016/j.jacc.2019.07.078Crossref PubMed Scopus (67) Google Scholar, 10Eliathamby D. Gutierrez M. Liu A. Ouzounian M. Forbes T.L. Tan K.T. et al.Ascending aortic length and its association with type A aortic dissection.J Am Heart Assoc. 2021; 10: e020140https://doi.org/10.1161/JAHA.120.020140Crossref PubMed Scopus (9) Google Scholar Geometric variables have served cardiac surgeons reasonably well as surrogates of wall stress and disease severity. Thus, as scientists do, we used rigorous experiments to understand the actual relationships between clinically measurable metrics against tissue material properties that define failure risk. We found that there is indeed a relationship between aortic diameter and energy loss, albeit not strong, and not between length and any of the biomechanical metrics we tested. This can then be tied together with our previous work that links biomechanical metrics, including energy loss and histopathology.2Chung J. Lachapelle K. Wener E. Cartier R. De Varennes B. Fraser R. et al.Energy loss, a novel biomechanical parameter, correlates with aortic aneurysm size and histopathologic findings.J Thorac Cardiovasc Surg. 2014; 148: 1082-1089https://doi.org/10.1016/j.jtcvs.2014.06.021Abstract Full Text Full Text PDF PubMed Scopus (54) Google Scholar,3Chung J.C.-Y. Wong E. Tang M. Eliathamby D. Forbes T.L. Butany J. et al.Biomechanics of aortic dissection: a comparison of aortas associated with bicuspid and tricuspid aortic valves.J Am Heart Assoc. 2020; 9: e016715https://doi.org/10.1161/JAHA.120.016715Crossref PubMed Scopus (35) Google Scholar Therefore, for at least the above 4 interrelated issues, the Commentary is not relevant to our study. Commentary: Thinking nonlinearly about aortic biomechanicsJTCVS OpenVol. 13PreviewMutationem motus proportionalem esse vi motrici impressae, et fieri secundum lineam rectam qua vis illa imprimatur.(The change in momentum is proportional to the motive force impressed, and in a direct line along which the force is impressed.)—Isaac Newton, Philosophiae Naturalis Principia Mathematica (1687) Ut tensio, sic vis.(As the extension, so the force.)—Robert Hooke (1678) Full-Text PDF Open Access
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".