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Left atrial remodeling and the prognostic value of feature tracking derived left atrial strain in patients with light-chain amyloidosis: a cardiovascular magnetic resonance study

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Abstract

Systemic light-chain (AL) amyloidosis is characterized by the aggregation of misfolded immunoglobulin light chain, predominantly infiltrating in the heart, including left atrium (LA). LA remodeling, such as increased interatrial septal thickness and enlarged size, has been observed. However, LA strain assessed by cardiac magnetic resonance feature tracking (CMR-FT) and its prognostic role remains to be further determined. Using CMR, the current study sought to investigate the characteristic of LA remodeling and the prognostic value of LA strain in patients with AL. Eighty-seven consecutive patients who underwent CMR with histologically confirmed systemic light-chain amyloidosis were retrospectively enrolled. LA strain parameters were analyzed based on CMR-FT algorithm. Amyloid infiltration and burden loads were assessed with CMR late gadolinium enhancement (LGE) and extracellular volume (ECV). Patients were categorized according to the extent of amyloid infiltration in cardiac myocardium. The primary endpoint was defined as all-cause mortality. The prognosis value of LA strain indices was evaluated using Cox proportional hazards regression and Kaplan–Meier curves. Interatrial septal thickness (3 [2–5] vs. 4 [3–5] mm, p = 0.007) and indexed LA volume (34.6 [26.9–44.6] vs. 50.5 [36.1–58.5] ml/m2, p = 0.001) were significantly higher in patients with atrial involvement (LA-LGE). Compared with patients with low amyloid burden loads (ECV group I), those at moderate and high (ECV group II and III) show progressive impairment in LA reservoir, conduit, and booster strains and strain rates. A total of 44 patients died during a median follow-up of 12 months. In multivariate analysis, LA reservoir strain, New York Heart Association (NYHA), and ECV remained independently associated with survival. On Kaplan–Meier analyses, low LA reservoir strain (< 8.6%) increased the risk of mortality. In moderate amyloid burden loads patients, low LA reservoir strain provides additive prognosis value. Progress left atrial remodeling and dysfunction are common findings in AL cardiac amyloidosis. The CMR-FT-derived LA reservoir strain provides independent and additive prognostic value for all-cause mortality in patients with AL cardiac amyloidosis.

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Data availability

The datasets generated and/or analyzed during the current study are not publicly available due to data protection but are available from the corresponding author upon reasonable request.

Abbreviations

CMR:

Cardiac magnetic resonance

FT:

Feature tracking

AL-CA:

Light-chain cardiac amyloidosis

LA:

Left atrium

LV:

Left ventricle

BSA:

Body surface area

LAEF:

Left atrial emptying fraction

ICC:

Intraclass correlation coefficient

LAVi:

Indexed left atrial maximum volume

LVEDVi :

Indexed left ventricular end-diastolic volume

LVESVi :

Indexed left ventricular end-systolic volume

LVMi :

Indexed left ventricular mass

LGE:

Late gadolinium enhancement

NYHA:

New York Heart Association

NT-proBNP:

N-terminal probrain natriuretic peptide

hsTnT:

High sensitivity cardiac troponin T

SR:

Strain rate

εs:

Reservoir strain

εe:

Conduit strain

εa:

Booster strain

STE:

Echocardiography speckle tracking

ECV:

Extracellular volume

References

  1. Martinez-Naharro A, Baksi AJ, Hawkins PN, Fontana M (2020) Diagnostic imaging of cardiac amyloidosis. Nat Rev Cardiol 17(7):413–426

    Article  PubMed  Google Scholar 

  2. Fontana M, Corovic A, Scully P, Moon JC (2019) Myocardial amyloidosis: the exemplar interstitial disease. JACC Cardiovasc Imaging 12(11 Pt 2):2345–2356

    Article  PubMed  Google Scholar 

  3. Banypersad SM, Fontana M, Maestrini V, Sado DM, Captur G, Petrie A et al (2015) T1 mapping and survival in systemic light-chain amyloidosis. Eur Heart J 36(4):244–251

    Article  PubMed  Google Scholar 

  4. Fontana M, Banypersad SM, Treibel TA, Maestrini V, Sado DM, White SK et al (2014) Native T1 mapping in transthyretin amyloidosis. JACC Cardiovasc Imaging 7(2):157–165

    Article  PubMed  Google Scholar 

  5. Martinez-Naharro A, Kotecha T, Norrington K, Boldrini M, Rezk T, Quarta C et al (2019) Native T1 and extracellular volume in transthyretin amyloidosis. JACC Cardiovasc Imaging 12(5):810–819

    Article  PubMed  Google Scholar 

  6. Kwong RY, Heydari B, Abbasi S, Steel K, Al-Mallah M, Wu H et al (2015) Characterization of cardiac amyloidosis by atrial late gadolinium enhancement using contrast-enhanced cardiac magnetic resonance imaging and correlation with left atrial conduit and contractile function. Am J Cardiol 116(4):622–629

    Article  PubMed  PubMed Central  Google Scholar 

  7. de Gregorio C, Dattilo G, Casale M, Terrizzi A, Donato R, Di Bella G (2016) Left atrial morphology, size and function in patients with transthyretin cardiac amyloidosis and primary hypertrophic cardiomyopathy- comparative strain imaging study. Circ J 80(8):1830–1837

    Article  PubMed  Google Scholar 

  8. Mohty D, Pibarot P, Dumesnil JG, Darodes N, Lavergne D, Echahidi N et al (2011) Left atrial size is an independent predictor of overall survival in patients with primary systemic amyloidosis. Arch Cardiovasc Dis 104(12):611–618

    Article  PubMed  Google Scholar 

  9. Zhao L, Tian Z, Fang Q (2016) Risk factors and prognostic role of left atrial enlargement in patients with cardiac light-chain amyloidosis. Am J Med Sci 351(3):271–278

    Article  PubMed  Google Scholar 

  10. Nochioka K, Quarta CC, Claggett B, Roca GQ, Rapezzi C, Falk RH et al (2017) Left atrial structure and function in cardiac amyloidosis. Eur Heart J Cardiovasc Imaging 18(10):1128–1137

    PubMed  Google Scholar 

  11. Mohty D, Boulogne C, Magne J, Varroud-Vial N, Martin S, Ettaif H et al (2016) Prognostic value of left atrial function in systemic light-chain amyloidosis: a cardiac magnetic resonance study. Eur Heart J Cardiovasc Imaging 17(9):961–969

    Article  PubMed  Google Scholar 

  12. Huntjens PR, Zhang KW, Soyama Y, Karmpalioti M, Lenihan DJ, Gorcsan J 3rd (2021) Prognostic utility of echocardiographic atrial and ventricular strain imaging in patients with cardiac amyloidosis. JACC Cardiovasc Imaging 14(8):1508–1519

    Article  PubMed  Google Scholar 

  13. Russo C, Jin Z, Homma S, Rundek T, Elkind MSV, Sacco RL et al (2017) LA phasic volumes and reservoir function in the elderly by real-time 3D echocardiography: normal values, prognostic significance, and clinical correlates. JACC Cardiovasc Imaging 10(9):976–985

    Article  PubMed  Google Scholar 

  14. Kowallick JT, Kutty S, Edelmann F, Chiribiri A, Villa A, Steinmetz M et al (2014) Quantification of left atrial strain and strain rate using Cardiovascular Magnetic Resonance myocardial feature tracking: a feasibility study. J Cardiovasc Magn Reson 16:60

    Article  PubMed  PubMed Central  Google Scholar 

  15. Chirinos JA, Sardana M, Ansari B, Satija V, Kuriakose D, Edelstein I et al (2018) Left atrial phasic function by cardiac magnetic resonance feature tracking is a strong predictor of incident cardiovascular events. Circ Cardiovasc Imaging 11(12):e007512

    Article  PubMed  PubMed Central  Google Scholar 

  16. Gertz MA, Comenzo R, Falk RH, Fermand JP, Hazenberg BP, Hawkins PN et al (2005) Definition of organ involvement and treatment response in immunoglobulin light chain amyloidosis (AL): a consensus opinion from the 10th International Symposium on Amyloid and Amyloidosis, Tours, France, 18–22 April 2004. Am J Hematol 79(4):319–328

    Article  PubMed  Google Scholar 

  17. Falk RH (2005) Diagnosis and management of the cardiac amyloidoses. Circulation 112(13):2047–2060

    Article  PubMed  Google Scholar 

  18. Garcia-Pavia P, Rapezzi C, Adler Y, Arad M, Basso C, Brucato A et al (2021) Diagnosis and treatment of cardiac amyloidosis: a position statement of the ESC Working Group on Myocardial and Pericardial Diseases. Eur Heart J 42(16):1554–1568

    Article  PubMed  PubMed Central  Google Scholar 

  19. Dorbala S, Ando Y, Bokhari S, Dispenzieri A, Falk RH, Ferrari VA et al (2019) ASNC/AHA/ASE/EANM/HFSA/ISA/SCMR/SNMMI expert consensus recommendations for multimodality imaging in cardiac amyloidosis: Part 1 of 2-evidence base and standardized methods of imaging. J Nucl Cardiol 26(6):2065–2123

    Article  PubMed  Google Scholar 

  20. Dispenzieri A, Gertz MA, Kyle RA, Lacy MQ, Burritt MF, Therneau TM et al (2004) Serum cardiac troponins and N-terminal pro-brain natriuretic peptide: a staging system for primary systemic amyloidosis. J Clin Oncol 22(18):3751–3757

    Article  CAS  PubMed  Google Scholar 

  21. Sharpley FA, Fontana M, Martinez-Naharro A, Manwani R, Mahmood S, Sachchithanantham S et al (2020) Cardiac biomarkers are prognostic in systemic light chain amyloidosis with no cardiac involvement by standard criteria. Haematologica 105(5):1405–1413

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Kramer CM, Barkhausen J, Bucciarelli-Ducci C, Flamm SD, Kim RJ, Nagel E (2020) Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. J Cardiovasc Magn Reson 22(1):17

    Article  PubMed  PubMed Central  Google Scholar 

  23. Messroghli DR, Moon JC, Ferreira VM, Grosse-Wortmann L, He T, Kellman P et al (2017) Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: a consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI). J Cardiovasc Magn Reson 19(1):75

    Article  PubMed  PubMed Central  Google Scholar 

  24. Chen R, Wang J, Du Z, Juan YH, Chan CW, Fei H et al (2019) The comparison of short-term prognostic value of T1 mapping with feature tracking by cardiovascular magnetic resonance in patients with severe dilated cardiomyopathy. Int J Cardiovasc Imaging 35(1):171–178

    Article  PubMed  Google Scholar 

  25. Wei X, Jian X, Xie J, Chen R, Li X, Du Z et al (2020) T1 mapping and feature tracking imaging of left ventricular extracellular remodeling in severe aortic stenosis. Cardiovasc Diagn Ther 10(6):1847–1857

    Article  PubMed  PubMed Central  Google Scholar 

  26. Schulz-Menger J, Bluemke DA, Bremerich J, Flamm SD, Fogel MA, Friedrich MG et al (2013) Standardized image interpretation and post processing in cardiovascular magnetic resonance: Society for Cardiovascular Magnetic Resonance (SCMR) board of trustees task force on standardized post processing. J Cardiovasc Magn Reson 15:35

    Article  PubMed  PubMed Central  Google Scholar 

  27. Schulz-Menger J, Bluemke DA, Bremerich J, Flamm SD, Fogel MA, Friedrich MG et al (2020) Standardized image interpretation and post-processing in cardiovascular magnetic resonance—2020 update: Society for Cardiovascular Magnetic Resonance (SCMR): Board of Trustees Task Force on Standardized Post-Processing. J Cardiovasc Magn Reson 22(1):19

    Article  PubMed  PubMed Central  Google Scholar 

  28. Fontana M, Pica S, Reant P, Abdel-Gadir A, Treibel TA, Banypersad SM et al (2015) Prognostic value of late gadolinium enhancement cardiovascular magnetic resonance in cardiac amyloidosis. Circulation 132(16):1570–1579

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Syed IS, Glockner JF, Feng D, Araoz PA, Martinez MW, Edwards WD et al (2010) Role of cardiac magnetic resonance imaging in the detection of cardiac amyloidosis. JACC Cardiovasc Imaging 3(2):155–164

    Article  PubMed  Google Scholar 

  30. Quail M, Grunseich K, Baldassarre LA, Mojibian H, Marieb MA, Cornfeld D et al (2019) Prognostic and functional implications of left atrial late gadolinium enhancement cardiovascular magnetic resonance. J Cardiovasc Magn Reson 21(1):2

    Article  PubMed  PubMed Central  Google Scholar 

  31. Romano S, Judd RM, Kim RJ, Kim HW, Klem I, Heitner JF et al (2018) Left ventricular long-axis function assessed with cardiac cine MR imaging is an independent predictor of all-cause mortality in patients with reduced ejection fraction: a multicenter study. Radiology 286(2):452–460

    Article  PubMed  Google Scholar 

  32. Lim HE, Na JO, Im SI, Choi CU, Kim SH, Kim JW et al (2015) Interatrial septal thickness as a marker of structural and functional remodeling of the left atrium in patients with atrial fibrillation. Korean J Intern Med 30(6):808–820

    Article  PubMed  PubMed Central  Google Scholar 

  33. Park YM, Park HC, Ban JE, Choi JI, Lim HE, Park SW et al (2015) Interatrial septal thickness is associated with the extent of left atrial complex fractionated atrial electrograms and acute procedural outcome in patients with persistent atrial fibrillation. Europace 17(11):1700–1707

    PubMed  Google Scholar 

  34. Vieira MJ, Teixeira R, Goncalves L, Gersh BJ (2014) Left atrial mechanics: echocardiographic assessment and clinical implications. J Am Soc Echocardiogr 27(5):463–478

    Article  PubMed  Google Scholar 

  35. Thomas L, Marwick TH, Popescu BA, Donal E, Badano LP (2019) Left atrial structure and function, and left ventricular diastolic dysfunction: JACC state-of-the-art review. J Am Coll Cardiol 73(15):1961–1977

    Article  PubMed  Google Scholar 

  36. de Winter JC, Gosling SD, Potter J (2016) Comparing the Pearson and Spearman correlation coefficients across distributions and sample sizes: a tutorial using simulations and empirical data. Psychol Methods 21(3):273–290

    Article  PubMed  Google Scholar 

  37. Ostertagová E, Ostertag O, Kováč J (2014) Methodology and application of the Kruskal-Wallis test. Appl Mech Mater 611:115–120

    Article  Google Scholar 

  38. Dessai S, Simha V, Patil V (2018) Stepwise cox regression analysis in SPSS. Cancer Res Stat Treat 1(2):167–170

    Google Scholar 

  39. Etikan İ, Abubakar S, Alkassim R (2017) The Kaplan-Meier estimate in survival analysis. Biom Biostatistics Int J 5(2):00128

    Google Scholar 

  40. Singh A, Addetia K, Maffessanti F, Mor-Avi V, Lang RM (2017) LA strain for categorization of LV diastolic dysfunction. JACC Cardiovasc Imaging 10(7):735–743

    Article  PubMed  Google Scholar 

  41. Wu VC, Takeuchi M, Kuwaki H, Iwataki M, Nagata Y, Otani K et al (2013) Prognostic value of LA volumes assessed by transthoracic 3D echocardiography: comparison with 2D echocardiography. JACC Cardiovasc Imaging 6(10):1025–1035

    Article  PubMed  Google Scholar 

  42. Boldrini M, Cappelli F, Chacko L, Restrepo-Cordoba MA, Lopez-Sainz A, Giannoni A et al (2020) Multiparametric echocardiography scores for the diagnosis of cardiac amyloidosis. JACC Cardiovasc Imaging 13(4):909–920

    Article  PubMed  Google Scholar 

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Acknowledgements

Not applicable.

Funding

This work was supported by the Key R&D Program of Guangdong Province, China (Grant No. 2018B030339001); National Natural Science Foundation of China (No. 81974262; No. 82170731); Natural Science Foundation of Guangdong Province (Grant No. 2020A1515010650).

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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by ZT, XW and SL. The first draft of the manuscript was written by ZT and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Wenjian Wang or Hui Liu.

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The authors have not disclosed any competing interests.

Ethical approval and consent to participate

The retrospective study was approved by the Research Ethics Committee of Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences and written informed consent was obtained from all subjects. (KY-Q-2021-130-02).

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Regarding the images attached to the manuscript, written informed consent for publication was obtained from the patients.

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Tan, Z., Yang, Y., Wu, X. et al. Left atrial remodeling and the prognostic value of feature tracking derived left atrial strain in patients with light-chain amyloidosis: a cardiovascular magnetic resonance study. Int J Cardiovasc Imaging 38, 1519–1532 (2022). https://doi.org/10.1007/s10554-022-02534-x

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