Cargando…
Ventricular strain patterns in multivalvular heart disease: a cross-sectional study
Multivalvular heart disease (MVD) is an aggregate of regurgitant and/or stenotic lesions of at least two cardiac valves. Ventricular tissue deformation imaging is a powerful predictor of subclinical myocardial dysfunction in patients with MVD.The aim of this study was to examine the left and right v...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9870819/ https://www.ncbi.nlm.nih.gov/pubmed/36306043 http://dx.doi.org/10.1007/s10554-022-02737-2 |
_version_ | 1784877051764801536 |
---|---|
author | Prathiksha Prabhu, K. Nayak, Krishnananda Nayak, Vidya Prabhu, Sridevi Rekha, V. Ashwal, A. J. Sudhakar Rao, M. |
author_facet | Prathiksha Prabhu, K. Nayak, Krishnananda Nayak, Vidya Prabhu, Sridevi Rekha, V. Ashwal, A. J. Sudhakar Rao, M. |
author_sort | Prathiksha Prabhu, K. |
collection | PubMed |
description | Multivalvular heart disease (MVD) is an aggregate of regurgitant and/or stenotic lesions of at least two cardiac valves. Ventricular tissue deformation imaging is a powerful predictor of subclinical myocardial dysfunction in patients with MVD.The aim of this study was to examine the left and right ventricular strain patterns in MVD as well as observe any association between right–sided valvular involvement (tricuspid or pulmonary valve lesion) with that of aortic and/or mitral valve lesion. Patients with at least moderate forms of MVD were included in the present study. 72 patients with mean age of 56.69 ± 14.59 years and various presentations of MVD were finally enrolled in this study. The commonest cause for MVD was rheumatic heart disease in these patients. Conventional 2-dimensional parameters as well as tissue deformation imaging parameters were assessed in offline mode for these patients. The Mean ± SD values for various quantitative 2D echocardiographic conventional and tissue deformation imaging were assessed. It was observed that LV strain parameters including the global longitudinal strain (GLS) were preserved whereas the RV strain parameters were mildly reduced (RV GLS total is − 19.49 ± 6.08%). Also, when conventional echocardiographic parameters were assessed to see any association between aortic and/or mitral valve disease with that of right-sided valvular lesions (tricuspid or pulmonary); 2D conventional echocardiographic parameters like left atrial dimension (p = 0.034), TAPSE (tricuspid annular plane systolic excursion) (p < 0.001), RVSP (right ventricular systolic pressure) (p < 0.001) and IVC (inferior vena cava) dimensions (p < 0.001) showed a statistically significant result; whereas, when strain parameters for LV and RV were assessed, they did not show any statistical difference for the same. In this series of patients with significant MVD, our findings suggest that ventricular strain parameters may be reliable markers of myocardial dysfunction, but may alter depending on the underlying combination of MVD, and right ventricular strain should also be an important parameter while assessing different combinations of MVD. |
format | Online Article Text |
id | pubmed-9870819 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-98708192023-01-25 Ventricular strain patterns in multivalvular heart disease: a cross-sectional study Prathiksha Prabhu, K. Nayak, Krishnananda Nayak, Vidya Prabhu, Sridevi Rekha, V. Ashwal, A. J. Sudhakar Rao, M. Int J Cardiovasc Imaging Original Paper Multivalvular heart disease (MVD) is an aggregate of regurgitant and/or stenotic lesions of at least two cardiac valves. Ventricular tissue deformation imaging is a powerful predictor of subclinical myocardial dysfunction in patients with MVD.The aim of this study was to examine the left and right ventricular strain patterns in MVD as well as observe any association between right–sided valvular involvement (tricuspid or pulmonary valve lesion) with that of aortic and/or mitral valve lesion. Patients with at least moderate forms of MVD were included in the present study. 72 patients with mean age of 56.69 ± 14.59 years and various presentations of MVD were finally enrolled in this study. The commonest cause for MVD was rheumatic heart disease in these patients. Conventional 2-dimensional parameters as well as tissue deformation imaging parameters were assessed in offline mode for these patients. The Mean ± SD values for various quantitative 2D echocardiographic conventional and tissue deformation imaging were assessed. It was observed that LV strain parameters including the global longitudinal strain (GLS) were preserved whereas the RV strain parameters were mildly reduced (RV GLS total is − 19.49 ± 6.08%). Also, when conventional echocardiographic parameters were assessed to see any association between aortic and/or mitral valve disease with that of right-sided valvular lesions (tricuspid or pulmonary); 2D conventional echocardiographic parameters like left atrial dimension (p = 0.034), TAPSE (tricuspid annular plane systolic excursion) (p < 0.001), RVSP (right ventricular systolic pressure) (p < 0.001) and IVC (inferior vena cava) dimensions (p < 0.001) showed a statistically significant result; whereas, when strain parameters for LV and RV were assessed, they did not show any statistical difference for the same. In this series of patients with significant MVD, our findings suggest that ventricular strain parameters may be reliable markers of myocardial dysfunction, but may alter depending on the underlying combination of MVD, and right ventricular strain should also be an important parameter while assessing different combinations of MVD. Springer Netherlands 2022-10-28 2023 /pmc/articles/PMC9870819/ /pubmed/36306043 http://dx.doi.org/10.1007/s10554-022-02737-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Prathiksha Prabhu, K. Nayak, Krishnananda Nayak, Vidya Prabhu, Sridevi Rekha, V. Ashwal, A. J. Sudhakar Rao, M. Ventricular strain patterns in multivalvular heart disease: a cross-sectional study |
title | Ventricular strain patterns in multivalvular heart disease: a cross-sectional study |
title_full | Ventricular strain patterns in multivalvular heart disease: a cross-sectional study |
title_fullStr | Ventricular strain patterns in multivalvular heart disease: a cross-sectional study |
title_full_unstemmed | Ventricular strain patterns in multivalvular heart disease: a cross-sectional study |
title_short | Ventricular strain patterns in multivalvular heart disease: a cross-sectional study |
title_sort | ventricular strain patterns in multivalvular heart disease: a cross-sectional study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9870819/ https://www.ncbi.nlm.nih.gov/pubmed/36306043 http://dx.doi.org/10.1007/s10554-022-02737-2 |
work_keys_str_mv | AT prathikshaprabhuk ventricularstrainpatternsinmultivalvularheartdiseaseacrosssectionalstudy AT nayakkrishnananda ventricularstrainpatternsinmultivalvularheartdiseaseacrosssectionalstudy AT nayakvidya ventricularstrainpatternsinmultivalvularheartdiseaseacrosssectionalstudy AT prabhusridevi ventricularstrainpatternsinmultivalvularheartdiseaseacrosssectionalstudy AT rekhav ventricularstrainpatternsinmultivalvularheartdiseaseacrosssectionalstudy AT ashwalaj ventricularstrainpatternsinmultivalvularheartdiseaseacrosssectionalstudy AT sudhakarraom ventricularstrainpatternsinmultivalvularheartdiseaseacrosssectionalstudy |