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Enregistrement W2414828450 · doi:10.1161/circimaging.116.005009

Subclinical Right Ventricular Dysfunction by Strain Analysis

2016· letter· en· W2414828450 sur OpenAlexaboutno aff
Luigi P. Badano, Denisa Muraru

Notice bibliographique

RevueCirculation Cardiovascular Imaging · 2016
Typeletter
Langueen
DomaineMedicine
ThématiqueCardiovascular Function and Risk Factors
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineSubclinical infectionCardiologyInternal medicineStrain (injury)Ventricular function

Résumé

récupéré en direct d'OpenAlex

HomeCirculation: Cardiovascular ImagingVol. 9, No. 6Subclinical Right Ventricular Dysfunction by Strain Analysis Free AccessEditorialPDF/EPUBAboutView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toFree AccessEditorialPDF/EPUBSubclinical Right Ventricular Dysfunction by Strain AnalysisRefining the Targets of Echocardiographic Imaging in Systemic Sclerosis Luigi P. Badano, MD, PhD and Denisa Muraru, MD, PhD Luigi P. BadanoLuigi P. Badano Department of Cardiac, Thoracic, and Vascular Sciences, University of Padua, Italy. and Denisa MuraruDenisa Muraru Department of Cardiac, Thoracic, and Vascular Sciences, University of Padua, Italy. Originally published7 Jun 2016https://doi.org/10.1161/CIRCIMAGING.116.005009Circulation: Cardiovascular Imaging. 2016;9:e005009The peculiar shape of the right ventricle (RV), its position within the chest, and the thinness of its free wall have always represented a formidable challenge for the assessment of RV size and function by conventional 2-dimensional echocardiography. Over time, a large number of 2D echocardiography and Doppler parameters have been proposed to describe RV geometry and function.1,2 However, most of them are limited by geometric assumptions about RV shape, load dependency, or suboptimal reproducibility, resulting in a limited contribution of conventional echocardiography to the understanding of the role played by the RV in many clinical conditions.See Article by Mukherjee et alIn the last decade, the advent of 2D speckle-tracking echocardiography (2DSTE) has fueled the application of strain imaging to measure the RV myocardial deformation, particularly for an early detection of subclinical myocardial dysfunction, when global ventricular function indices are still normal. The possibility to derive strain parameters from conventional gray-scale images with excellent reproducibility and the relative ease of use of the technique have encouraged researchers to apply 2DSTE for elucidating the extent of RV involvement in a wide variety of cardiac and noncardiac conditions. A PubMed search found >800 articles published on RV strain imaging by echocardiography since 2008.In this issue of Circulation: Cardiovascular Imaging, Mukherjee et al3 from the Johns Hopkins University School of Medicine report on the ability of 2DSTE longitudinal strain to detect occult abnormalities in regional and global myocardial function of RV free wall in patients with systemic sclerosis (SSc). Conventional 2DE parameters of RV function (eg, tricuspid annular plane systolic excursion and fractional area change) were similar in patients with SSc versus age- and sex-matched controls, whereas RV free wall longitudinal strain (RVFWLS) was found to be significantly impaired in patients with SSc, regardless of pulmonary systolic pressure and SSc phenotype. Moreover, the investigators identified a peculiar regional strain pattern in SSc group, with decreased strain magnitude in the apical and mid segments and increased strain magnitude in the basal segments of the RV free wall. Thus, RVFWLS seems promising in allowing clinicians to identify subclinical RV myocardial impairment in patients with SSc. If these results are confirmed by future studies, evidence of occult RV dysfunction by RVFWLS assessment may prompt for a more intense cardiological follow-up or early treatment of patients with SSc, to avoid or delay the development of overt RV failure.However, the anatomic substrate and the pathophysiology of impaired RVFWLS with altered regional pattern in patients with SSc remain to be clarified. One may hypothesize 2 major contributions to RV impaired performance in patients with SSc: higher pulmonary load because of vessel stiffness/sclerosis or primary intrinsic myocardial dysfunction. Mukherjee et al3 deserve credit for evaluating RVFWLS together with RV systolic pressure and pulmonary vascular resistance, as noninvasive indices of RV afterload. However, pulmonary vascular resistance reflects the afterload to a steady flow, not to pulsatile flow. Other parameters, including both static and dynamic pulsatile components (such as pulmonary impedance and compliance), may be useful to rule out early alterations in pulmonary vascular stiffness in SSc patients with pulmonary vascular resistance and pulmonary pressures within normal ranges. Yet, these parameters require invasive measurements, and their echocardiographic assessment is infrequent and less robust. Hemodynamic data suggested that RV impairment in SSc may be actually because of intrinsic myocardial dysfunction, rather than enhanced pulmonary vascular resistive and pulsatile loading, and reflects RV inability to compensate for the increased afterload.4 Delayed enhancement cardiac magnetic resonance imaging would help to identify the presence of structural abnormalities of the RV free wall myocardium (such as fibrosis) that may explain the abnormal regional strain pattern in patients with SSc.In general, RVFWLS is regarded as an index of RV myocardial function only. In healthy subjects, left ventricular longitudinal strain and right atrial longitudinal strain were identified as correlates of RV longitudinal strain, suggesting the capability of 2DSTE to evaluate the functional coupling of the RV with the left ventricle or right atrium.5 It would be extremely interesting to verify if the same relationships occur also in systemic conditions such as SSc, known to potentially affect both RV and left ventricular myocardium.An important aspect is the generalizability of the results of this study. Despite the fact that RV myocardial deformation analysis by 2DSTE has demonstrated prognostic value in different cardiovascular conditions,6–8 the technique is far from being standardized. To date, different ultrasound manufacturers and software developers have used different approaches (ie, definitions of the region of interest and of strain parameters) to 2DE image postprocessing to obtain strain and strain-rate values. The RVFWLS values reported by Mukherjee et al3 in their control subjects are significantly lower than those reported in the literature.5,9 However, they used a novel vendor-independent software package (EchoInsight, Epsilon Imaging, Ann Arbor, MI) to measure RVFWLS, whereas the large majority of investigators who applied RVFWLS for RV analysis used a different software (EchoPac, GE Vingmed, Horten, Norway).2,5,9 In addition, technical details such as the acquisition of the RV view (standard apical 4-chamber versus RV-focused apical 4-chamber view) and the way RV longitudinal strain is defined and calculated (ie, including or not including the interventricular septum) may significantly affect its values.5 Because RV longitudinal strain measured by 2DSTE is emerging as a powerful tool to detect subclinical RV myocardial dysfunction and assess patient prognosis in a variety of cardiac and noncardiac conditions,10 the European Association of Cardiovascular Imaging/American Society of Echocardiography/Industry Task Force to standardize deformation imaging11,12 has undertaken the initiative of standardizing the 2DSTE technique and parameters for RV analysis.Finally, RV longitudinal strain is a parameter, which measures only the shortening of the RV along the base-to-apex direction, which is a consequence of the contraction of the longitudinal myocardial fibers in the subendocardial layer. However, RV free wall contains also a superficial layer of myocardial fibers that are circumferential and contribute to RV pump function. Indeed, there are multiple mechanisms involved in the overall RV pump function: (1) contraction of the longitudinal fibers, which draws the tricuspid valve toward the apex; (2) inward movement of the RV free wall that produces a bellows effect; (3) bulging of the interventricular septum into the RV during left ventricular contraction; and (4) circumferential contraction of the RV outflow tract. In spite of the fact that the longitudinal excursion is much larger (around 20–22 mm) than the transversal displacement (around 4–5 mm), the latter involves the large surface of the RV free wall and contributes significantly to RV output. Moreover, previous studies have shown that the relative contributions of these mechanisms to global RV pump function vary under different conditions. For example, in patients with RV pressure overload, the hypertrophied RV myocardial fibers change their spatial orientation and become more circumferential.13,14 As a consequence, in patients with pulmonary hypertension, circumferential and radial shortening increase their contribution to the RV pump function compared with normal subjects.15,16 Ideally, a comprehensive assessment of the different components of RV myocardial deformation would improve our understanding of the pathophysiology of RV dysfunction in different cardiac conditions. However, this is challenging, if not impossible, to achieve using conventional echocardiography.The development of 3-dimensional echocardiography enabled the simultaneous assessment of RV mechanics in different dimensions (ie, longitudinal, radial, circumferential, and a combination of longitudinal and circumferential shortening called area strain) by echocardiography, similar to cardiac magnetic resonance.17,18 In patients with pulmonary hypertension, significant correlation with RV ejection fraction was demonstrated for 3D RV longitudinal strain18 and RV area strain.19 Importantly, the latter was a strong independent predictor of death, suggesting the superiority of 3D echocardiography–derived area strain over the other parameters of RV deformation.19 However, only small populations have been investigated to date using 3D echocardiography–derived RV strain parameters, and their reference values are currently unknown.The study by Mukherjee et al3 adds another important piece to the mounting evidence on the superiority of 2DSTE-derived strain as a sensitive marker of subclinical myocardial dysfunction, which conventional echocardiographic measures are unable to identify. The clinical importance of the subtle changes in RV myocardial function for an early diagnosis and outcome of patients with SSc remains to be established.DisclosuresDrs Badano and Muraru have received research grants from GE Vingmed (Horten, Norway) and are part of the speaker bureau of the company.FootnotesThe opinions expressed in this article are not necessarily those of the editors or of the American Heart Association.Correspondence to Luigi P. Badano, MD, PhD, Department of Cardiac, Thoracic, and Vascular Sciences, University of Padua, Via Giustiniani 2, 35128 Padua, Italy. E-mail [email protected]References1. Rudski LG, Lai WW, Afilalo J, Hua L, Handschumacher MD, Chandrasekaran K, Solomon SD, Louie EK, Schiller NB. Guidelines for the echocardiographic assessment of the right heart in adults: a report from the American Society of Echocardiography endorsed by the European Association of Echocardiography, a registered branch of the European Society of Cardiology, and the Canadian Society of Echocardiography.J Am Soc Echocardiogr. 2010; 23:685–713; quiz 786. doi: 10.1016/j.echo.2010.05.010.CrossrefMedlineGoogle Scholar2. Lang RM, Badano LP, Mor-Avi V, Afilalo J, Armstrong A, Ernande L, Flachskampf FA, Foster E, Goldstein SA, Kuznetsova T, Lancellotti P, Muraru D, Picard MH, Rietzschel ER, Rudski L, Spencer KT, Tsang W, Voigt JU. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging.Eur Heart J Cardiovasc Imaging. 2015; 16:233–270. doi: 10.1093/ehjci/jev014.CrossrefMedlineGoogle Scholar3. Mukherjee M, Chung SE, Ton VK, Tedford RJ, Hummers LK, Wigley FM, Abraham TP, Shah AA. Unique abnormalities in right ventricular longitudinal strain in systemic sclerosis patients.Circ Cardiovasc Imaging. 2016; 9:e003792. doi: 10.1161/CIRCIMAGING.115.003792.LinkGoogle Scholar4. Tedford RJ, Mudd JO, Girgis RE, Mathai SC, Zaiman AL, Housten-Harris T, Boyce D, Kelemen BW, Bacher AC, Shah AA, Hummers LK, Wigley FM, Russell SD, Saggar R, Saggar R, Maughan WL, Hassoun PM, Kass DA. Right ventricular dysfunction in systemic sclerosis-associated pulmonary arterial hypertension.Circ Heart Fail. 2013; 6:953–963. doi: 10.1161/CIRCHEARTFAILURE.112.000008.LinkGoogle Scholar5. Muraru D, Onciul S, Peluso D, Soriani N, Cucchini U, Aruta P, Romeo G, Cavalli G, Iliceto S, Badano LP. Sex- and method-specific reference values for right ventricular strain by 2-dimensional speckle-tracking echocardiography.Circ Cardiovasc Imaging. 2016; 9:e003866. doi: 10.1161/CIRCIMAGING.115.003866.LinkGoogle Scholar6. Park SJ, Park JH, Lee HS, Kim MS, Park YK, Park Y, Kim YJ, Lee JH, Choi SW, Jeong JO, Kwon IS, Seong IW. Impaired RV global longitudinal strain is associated with poor long-term clinical outcomes in patients with acute inferior STEMI.JACC Cardiovasc Imaging. 2015; 8:161–169. doi: 10.1016/j.jcmg.2014.10.011.CrossrefMedlineGoogle Scholar7. Fine NM, Chen L, Bastiansen PM, Frantz RP, Pellikka PA, Oh JK, Kane GC. Outcome prediction by quantitative right ventricular function assessment in 575 subjects evaluated for pulmonary hypertension.Circ Cardiovasc Imaging. 2013; 6:711–721. doi: 10.1161/CIRCIMAGING.113.000640.LinkGoogle Scholar8. Motoki H, Borowski AG, Shrestha K, Hu B, Kusunose K, Troughton RW, Tang WHW, Klein AL. Right ventricular global longitudinal strain provides prognostic value incremental to left ventricular ejection fraction in patients with heart failure.J Am Soc Echocardiogr2014; 27:726–732. doi: 10.1016/j.echo.2014.02.007CrossrefMedlineGoogle Scholar9. Fine NM, Chen L, Bastiansen PM, Frantz RP, Pellikka PA, Oh JK, Kane GC. Reference values for right ventricular strain in patients without cardiopulmonary disease: a prospective evaluation and meta-analysis.Echocardiography. 2015; 32:787–796. doi: 10.1111/echo.12806.CrossrefMedlineGoogle Scholar10. La Gerche A, Roberts TJ. Straining the RV to predict the future.J AM COLL CARDIOL. Cardiovasc Imaging. 2015; 8:170–171. doi: 10.1016/j.jcmg.2014.11.006.CrossrefMedlineGoogle Scholar11. Thomas JD, Badano LP. EACVI-ASE-industry initiative to standardize deformation imaging: a brief update from the co-chairs.Eur Heart J Cardiovasc Imaging. 2013; 14:1039–1040. doi: 10.1093/ehjci/jet184.CrossrefMedlineGoogle Scholar12. Voigt JU, Pedrizzetti G, Lysyansky P, Marwick TH, Houle H, Baumann R, Pedri S, Ito Y, Abe Y, Metz S, Song JH, Hamilton J, Sengupta PP, Kolias TJ, d'Hooge J, Aurigemma GP, Thomas JD, Badano LP. Definitions for a common standard for 2D speckle tracking echocardiography: consensus document of the EACVI/ASE/Industry Task Force to standardize deformation imaging.J Am Soc Echocardiogr. 2015; 28:183–193. doi: 10.1016/j.echo.2014.11.003.CrossrefMedlineGoogle Scholar13. Sanchez-Quintana D, Anderson RH, Ho SY. Ventricular myoarchitecture in tetralogy of Fallot.Heart. 1996; 76:280–286.CrossrefMedlineGoogle Scholar14. Pettersen E, Helle-Valle T, Edvardsen T, Lindberg H, Smith HJ, Smevik B, Smiseth OA, Andersen K. Contraction pattern of the systemic right ventricle shift from longitudinal to circumferential shortening and absent global ventricular torsion.J Am Coll Cardiol. 2007; 49:2450–2456. doi: 10.1016/j.jacc.2007.02.062.CrossrefMedlineGoogle Scholar15. Kind T, Mauritz GJ, Marcus JT, van de Veerdonk M, Westerhof N, Vonk-Noordegraaf A. Right ventricular ejection fraction is better reflected by transverse rather than longitudinal wall motion in pulmonary hypertension.J Cardiovasc Magn Reson. 2010; 12:35. doi: 10.1186/1532-429X-12-35.CrossrefMedlineGoogle Scholar16. Kind T, Marcus JT, Westerhof N, Vonk-Noordegraaf A. Longitudinal and transverse movements of the right ventricle: both are important in pulmonary arterial hypertension.Chest. 2011; 140:556–557. doi: 10.1378/chest.10-3195.CrossrefMedlineGoogle Scholar17. Atsumi A, Ishizu T, Kameda Y, Yamamoto M, Harimura Y, Machino-Ohtsuka T, Kawamura R, Enomoto M, Seo Y, Aonuma K. Application of 3-dimensional speckle tracking imaging to the assessment of right ventricular regional deformation.Circ J2013; 77:1760–1768. doi. org/10.1253/circj.CJ-12–1445CrossrefMedlineGoogle Scholar18. Ozawa K, Funabashi N, Takaoka H, Tanabe N, Yanagawa N, Tatsumi K, Kobayashi Y. Utility of three-dimensional global longitudinal strain of the right ventricle using transthoracic echocardiography for right ventricular systolic function in pulmonary hypertension.Int J Cardiol. 2014; 174:426–430. doi: 10.1016/j.ijcard.2014.04.031.CrossrefMedlineGoogle Scholar19. Smith BCF, Dobson G, Dawson D, Charalampopoulos A, Grapsa J, Nihoyannopoulos P. Three-dimensional speckle tracking of the right ventricle: toward optimal quantification of right ventricular dysfunction in pulmonary hypertension.J Am Coll Cardiol2014; 64:41–51. doi: 10.1016/j.jacc.2014.01.084.CrossrefMedlineGoogle Scholar Previous Back to top Next FiguresReferencesRelatedDetailsCited By Romano S, Dell'atti D, Judd R, Kim R, Weinsaft J, Kim J, Heitner J, Hahn R and Farzaneh-Far A (2021) Prognostic Value of Feature-Tracking Right Ventricular Longitudinal Strain in Severe Functional Tricuspid Regurgitation, JACC: Cardiovascular Imaging, 10.1016/j.jcmg.2021.02.009, 14:8, (1561-1568), Online publication date: 1-Aug-2021. Wang Y, Li Y, Ding X, Wu X, Li C, Guo D, Shi Y and Lu X (2018) 17β-estradiol preserves right ventricular function in rats with pulmonary arterial hypertension: an echocardiographic and histochemical study, The International Journal of Cardiovascular Imaging, 10.1007/s10554-018-1468-0, 35:3, (441-450), Online publication date: 1-Mar-2019. Rangarajan V, Matiasz R and Freed B (2017) Cardiac complications of systemic sclerosis and management: recent progress, Current Opinion in Rheumatology, 10.1097/BOR.0000000000000439, 29:6, (574-584), Online publication date: 1-Nov-2017. Lisi M, Cameli M, Mandoli G, Pastore M, Righini F, D'Ascenzi F, Focardi M, Rubboli A, Mondillo S and Henein M (2022) Detection of myocardial fibrosis by speckle-tracking echocardiography: from prediction to clinical applications, Heart Failure Reviews, 10.1007/s10741-022-10214-0 Giucă A, Gegenava T, Mihai C, Jurcuţ C, Săftoiu A, Gȋrniţă D, Popescu B, Ajmone Marsan N and Jurcuț R (2022) Sclerodermic Cardiomyopathy—A State-of-the-Art Review, Diagnostics, 10.3390/diagnostics12030669, 12:3, (669) June 2016Vol 9, Issue 6 Advertisement Article InformationMetrics © 2016 American Heart Association, Inc.https://doi.org/10.1161/CIRCIMAGING.116.005009PMID: 27266600 Originally publishedJune 7, 2016 Keywordsvascular resistanceearly diagnosisthinnessEditorialsphenotypePDF download Advertisement SubjectsEchocardiography

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Méta-épidémiologie (sens large), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,603
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,014
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,243
Écart entre enseignants0,231 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

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Citations11
Publié2016
Routes d'admission1
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