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Clinical and genetic predictors of cardiac dysfunction assessed by echocardiography in patients with hereditary hemochromatosis

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Abstract

Purpose

Hereditary hemochromatosis (HH) may cause iron deposition in cardiac tissue. We aimed to describe the echocardiographic findings in patients with HH and identify risk factors for cardiac dysfunction.

Methods

In this retrospective study, we included patients with HH who underwent transthoracic echocardiography at our tertiary care center between August 2000 and July 2022. We defined three primary outcomes for cardiac dysfunction: 1) left ventricular ejection fraction (LVEF) < 55%, 2) ratio between early mitral inflow velocity and mitral annular early diastolic velocity (E/e’) > 15, and 3) global longitudinal strain (GLS) < 18. Multivariable logistic regression was utilized to identify predictors of cardiac dysfunction.

Results

582 patients (median age 57 years, 61.2% male) were included. The frequency of LVEF < 55%, E/e > 15 and GLS < 18 was 9.0% (52/580), 9.6% (51/534) and 20.2% (25/124), respectively. In multivariable analysis, non-White race, age, and hypertension were associated with E/e’ > 15. No specific HFE genetic mutation was associated with LVEF < 55%. A history of myocardial infarction was strongly associated with both LVEF < 55% and E/e’ > 15. In patients with LVEF ≥ 55%, the C282Y/H63D genetic mutation was associated with reduced likelihood of E/e’ > 15, p = 0.024. Patients with C282Y/H63D had a higher frequency of myocardial infarction. Smoking and alcohol use were significantly associated with GLS < 18 in unadjusted analysis.

Conclusion

We found the traditional risk factors of male sex, and history of myocardial infarction or heart failure, were associated with a reduced LVEF, irrespective of the underlying HFE genetic mutation. Patients with a C282Y/H63D genetic mutation had a higher frequency of myocardial infarction, yet this mutation was associated with reduced odds of diastolic dysfunction compared to other genetic mutations in patients with a normal LVEF.

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References

  1. Palmer WC, Vishnu P, Sanchez W, Aqel B, Riegert-Johnson D, Seaman LAK et al (2018) Diagnosis and management of Genetic Iron Overload Disorders. J Gen Intern Med 33(12):2230–2236. https://doi.org/10.1007/s11606-018-4669-2

    Article  PubMed  PubMed Central  Google Scholar 

  2. Kane SF, Roberts C, Paulus R (2021) Hereditary Hemochromatosis: Rapid evidence review. Am Fam Physician 104(3):263–270

    PubMed  Google Scholar 

  3. Niederau C, Strohmeyer G, Stremmel W (1994) Epidemiology, clinical spectrum and prognosis of hemochromatosis. Adv Exp Med Biol 356:293–302. https://doi.org/10.1007/978-1-4615-2554-7_31

    Article  PubMed  CAS  Google Scholar 

  4. Cabrera E, Crespo G, VanWagner LB (2022) Diagnosis and management of Hereditary Hemochromatosis. JAMA 328(18):1862–1863. https://doi.org/10.1001/jama.2022.17727

    Article  PubMed  Google Scholar 

  5. Joshi PK, Patel SC, Shreya D, Zamora DI, Patel GS, Grossmann I et al (2021) Hereditary Hemochromatosis: a Cardiac Perspective. Cureus 13(11):e20009. https://doi.org/10.7759/cureus.20009

    Article  PubMed  PubMed Central  Google Scholar 

  6. Anderson LJ, Holden S, Davis B, Prescott E, Charrier CC, Bunce NH et al (2001) Cardiovascular T2-star (T2*) magnetic resonance for the early diagnosis of myocardial iron overload. Eur Heart J 22(23):2171–2179. https://doi.org/10.1053/euhj.2001.2822

    Article  PubMed  CAS  Google Scholar 

  7. Marsella M, Borgna-Pignatti C, Meloni A, Caldarelli V, Dell’Amico MC, Spasiano A et al (2011) Cardiac iron and cardiac disease in males and females with transfusion-dependent thalassemia major: a T2* magnetic resonance imaging study. Haematologica 96(4):515–520. https://doi.org/10.3324/haematol.2010.025510

    Article  PubMed  PubMed Central  Google Scholar 

  8. Kremastinos DT, Farmakis D (2011) Iron overload cardiomyopathy in clinical practice. Circulation 124(20):2253–2263. https://doi.org/10.1161/CIRCULATIONAHA.111.050773

    Article  PubMed  Google Scholar 

  9. Venkatesh MSJ, Carroll D et al (2021) : Hemochromatosis (cardiac manifestations). https://radiopaedia.org/articles/haemochromatosis-cardiac-manifestations-1?lang=us Accessed February 10, 2023

  10. Olson LJ, Baldus WP, Tajik AJ (1987) Echocardiographic features of idiopathic hemochromatosis. Am J Cardiol 60(10):885–889. https://doi.org/10.1016/0002-9149(87)91041-1

    Article  PubMed  CAS  Google Scholar 

  11. StatPearls. (2022)

  12. Barbero U, Fornari F, Gagliardi M, Fava A, Giorgi M, Alunni G et al (2021) Myocardial longitudinal strain as the first herald of cardiac impairment in very early iron overload state: an echocardiography and biosusceptometry study on beta-thalassemia patients. Am J Cardiovasc Dis 11(5):555–563

    PubMed  PubMed Central  CAS  Google Scholar 

  13. Mitter SS, Shah SJ, Thomas JD (2017) A test in Context: E/A and E/e’ to assess diastolic dysfunction and LV filling pressure. J Am Coll Cardiol 69(11):1451–1464. https://doi.org/10.1016/j.jacc.2016.12.037

    Article  PubMed  Google Scholar 

  14. Abou R, van der Bijl P, Bax JJ, Delgado V (2020) Global longitudinal strain: clinical use and prognostic implications in contemporary practice. Heart 106(18):1438–1444. https://doi.org/10.1136/heartjnl-2019-316215

    Article  PubMed  Google Scholar 

  15. Attia ZI, Kapa S, Lopez-Jimenez F, McKie PM, Ladewig DJ, Satam G et al (2019) Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram. Nat Med 25(1):70–74. https://doi.org/10.1038/s41591-018-0240-2

    Article  PubMed  CAS  Google Scholar 

  16. Attia ZI, Noseworthy PA, Lopez-Jimenez F, Asirvatham SJ, Deshmukh AJ, Gersh BJ et al (2019) An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction. Lancet 394(10201):861–867. https://doi.org/10.1016/S0140-6736(19)31721-0

    Article  PubMed  Google Scholar 

  17. Ko WY, Siontis KC, Attia ZI, Carter RE, Kapa S, Ommen SR et al (2020) Detection of hypertrophic cardiomyopathy using a convolutional neural network-enabled Electrocardiogram. J Am Coll Cardiol 75(7):722–733. https://doi.org/10.1016/j.jacc.2019.12.030

    Article  PubMed  Google Scholar 

  18. Hollerer I, Bachmann A, Muckenthaler MU (2017) Pathophysiological consequences and benefits of. Haematologica 102(5):809–817. https://doi.org/10.3324/haematol.2016.160432

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Lee MP, Glynn RJ, Schneeweiss S, Lin KJ, Patorno E, Barberio J et al (2020) Risk factors for heart failure with preserved or reduced ejection Fraction among Medicare beneficiaries: application of competing Risks Analysis and Gradient boosted Model. Clin Epidemiol 12:607–616. https://doi.org/10.2147/CLEP.S253612

    Article  PubMed  PubMed Central  Google Scholar 

  20. Brittenham GM, Badman DG, (NIDDK)Workshop NIoDaDaKD (2003) Noninvasive measurement of iron: report of an NIDDK workshop. Blood 101(1):15–19. https://doi.org/10.1182/blood-2002-06-1723

    Article  PubMed  CAS  Google Scholar 

  21. Tanner MA, Galanello R, Dessi C, Smith GC, Westwood MA, Agus A et al (2008) Combined chelation therapy in thalassemia major for the treatment of severe myocardial siderosis with left ventricular dysfunction. J Cardiovasc Magn Reson 10(1):12. https://doi.org/10.1186/1532-429X-10-12

    Article  PubMed  PubMed Central  Google Scholar 

  22. Saeed M, Van TA, Krug R, Hetts SW, Wilson MW, Cardiac (2015) MR imaging: current status and future direction. Cardiovasc Diagn Ther 5(4):290–310. https://doi.org/10.3978/j.issn.2223-3652.2015.06.07

    Article  PubMed  PubMed Central  Google Scholar 

  23. Baur LHB (2009) Patient screening for cardiac hemochromatosis, echocardiography or MRI? Int J Cardiovasc Imaging 25(3):249–250. https://doi.org/10.1007/s10554-008-9400-7

    Article  PubMed  CAS  Google Scholar 

  24. Davidsen ES, Hervig T, Omvik P, Gerdts E (2009) Left ventricular long-axis function in treated haemochromatosis. Int J Cardiovasc Imaging 25(3):237–247. https://doi.org/10.1007/s10554-008-9383-4

    Article  PubMed  Google Scholar 

  25. Adams PC, Reboussin DM, Barton JC, McLaren CE, Eckfeldt JH, McLaren GD et al (2005) Hemochromatosis and iron-overload screening in a racially diverse population. N Engl J Med 352(17):1769–1778. https://doi.org/10.1056/NEJMoa041534

    Article  PubMed  CAS  Google Scholar 

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Acknowledgements

The authors declare no acknowledgements.

Funding

The authors declare that funding for statistical analysis was provided by the Division of Community Internal Medicine at Mayo Clinic Florida, Jacksonville, FL 32224, USA.

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Authors

Contributions

William C. Palmer, MD, Brian P. Shapiro, MD, Yan Bi, MD, PhD, Prakash Kempaiah and Fernando F. Stancampiano, MD contributed to the study conception and design. Data collection was performed by Abdelhadi A. Elsayed and Fernando M. Barusco. Material preparation, and analysis were performed by Michael G. Heckman, MS and Zhongwei Peng, MS. The first draft of the manuscript was written by Pedro Cortés, MD and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to William C. Palmer.

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The authors declare no competing interests.

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This is an observational study. The Institutional Review Board at Mayo Clinic has confirmed that no ethical approval is required.

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Cortés, P., Elsayed, A.A., Stancampiano, F.F. et al. Clinical and genetic predictors of cardiac dysfunction assessed by echocardiography in patients with hereditary hemochromatosis. Int J Cardiovasc Imaging 40, 45–53 (2024). https://doi.org/10.1007/s10554-023-02973-0

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