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Subclinical changes in MRI-determined right ventricular volumes and function in subjects with prediabetes and diabetes

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Abstract

Objectives

The aim of this study was to assess subclinical changes in right ventricular volumes and function in subjects with prediabetes and diabetes and controls without a history of cardiovascular disease.

Methods

Data from 400 participants in the KORA FF4 study without self-reported cardiovascular disease who underwent 3-T whole-body MRI were obtained. The right ventricle was evaluated using the short axis and a four-chamber view. Diabetes was defined according to WHO criteria. Associations between glucose tolerance and right ventricular parameters were assessed using multivariable adjusted linear regression models.

Results

Data from 337 participants were available for analysis. Of these, 43 (13%) had diabetes, 87 (26%) had prediabetes, and 207 (61%) were normoglycaemic controls. There was a stepwise decrease in right ventricular volumes in men with prediabetes and diabetes in comparison with controls, including right ventricular end-diastolic volume (β = 20.4 and β = 25.6, respectively; p ≤ 0.005), right ventricular end-systolic volume (β = 12.3 and β = 12.7, respectively; p ≤ 0.037) and right ventricular stroke volume (β = 8.1 and β = 13.1, respectively, p ≤ 0.016). We did not observe any association between prediabetes or diabetes and right ventricular volumes in women or between prediabetes or diabetes and right ventricular ejection fraction in men and women.

Conclusions

This study points towards early subclinical changes in right ventricular volumes in men with diabetes and prediabetes.

Key Points

• MRI was used to detect subclinical changes in right ventricular parameters.

• Diabetes mellitus is associated with right ventricular dysfunction.

• Impairment of right ventricular volumes seems to occur predominantly in men.

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Abbreviations

BMI:

Body mass index

KORA:

Cooperative Health Research in the Region of Augsburg (Kooperative Gesundheitsforschung in der Region Augsburg)

NGT:

Normal glucose tolerance

RVD:

Right ventricular dysfunction

RV-EDV:

Right ventricular end-diastolic volume

RV-EF:

Right ventricular ejection fraction

RV-ESV:

Right ventricular end-systolic volume

RV-SV:

Right ventricular stroke volume

References

  1. WHO (2014) Global status report on noncommunicable diseases 2014. WHO, Geneva. Available via http://www.who.int/nmh/publications/ncd-status-report-2014/en/. Accessed 16 Nov 2017

  2. WHO (2016) World Health Organization Diabetes Programme. WHO, Geneva. Available via http://www.who.int/diabetes/en/. Accessed 16 Nov 2017

  3. Alberti KG (2007) Screening and diagnosis of prediabetes: where are we headed? Diabetes Obes Metab 9(Suppl 1):12–16

    Article  PubMed  CAS  Google Scholar 

  4. Karve A, Hayward RA (2010) Prevalence, diagnosis, and treatment of impaired fasting glucose and impaired glucose tolerance in nondiabetic U.S. adults. Diabetes Care 33:2355–2359

    Article  PubMed  PubMed Central  Google Scholar 

  5. Wild S, Roglic G, Green A, Sicree R, King H (2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 27:1047–1053

    Article  PubMed  Google Scholar 

  6. Grundy SM, Benjamin IJ, Burke GL et al (1999) Diabetes and cardiovascular disease: a statement for healthcare professionals from the American Heart Association. Circulation 100:1134–1146

    Article  PubMed  CAS  Google Scholar 

  7. Caglar Acar O, Epcacan S, Uner A, Ece I, Dogan M (2016) Evaluation of left and right ventricular functions using conventional and tissue Doppler echocardiography in children with type 1 diabetes mellitus. J Pediatr Endocrinol Metab 29:885–891

    Article  PubMed  Google Scholar 

  8. Tabak AG, Herder C, Rathmann W, Brunner EJ, Kivimaki M (2012) Prediabetes: a high-risk state for diabetes development. Lancet 379:2279–2290

    Article  PubMed  PubMed Central  Google Scholar 

  9. Juilliere Y, Barbier G, Feldmann L, Grentzinger A, Danchin N, Cherrier F (1997) Additional predictive value of both left and right ventricular ejection fractions on long-term survival in idiopathic dilated cardiomyopathy. Eur Heart J 18:276–280

    Article  PubMed  CAS  Google Scholar 

  10. Ghio S, Gavazzi A, Campana C et al (2001) Independent and additive prognostic value of right ventricular systolic function and pulmonary artery pressure in patients with chronic heart failure. J Am Coll Cardiol 37:183–188

    Article  PubMed  CAS  Google Scholar 

  11. Mendes LA, Dec GW, Picard MH, Palacios IF, Newell J, Davidoff R (1994) Right ventricular dysfunction: an independent predictor of adverse outcome in patients with myocarditis. Am Heart J 128:301–307

    Article  PubMed  CAS  Google Scholar 

  12. Larose E, Ganz P, Reynolds HG et al (2007) Right ventricular dysfunction assessed by cardiovascular magnetic resonance imaging predicts poor prognosis late after myocardial infarction. J Am Coll Cardiol 49:855–862

    Article  PubMed  Google Scholar 

  13. Di Salvo TG, Mathier M, Semigran MJ, Dec GW (1995) Preserved right ventricular ejection fraction predicts exercise capacity and survival in advanced heart failure. J Am Coll Cardiol 25:1143–1153

    Article  PubMed  Google Scholar 

  14. de Groote P, Millaire A, Foucher-Hossein C et al (1998) Right ventricular ejection fraction is an independent predictor of survival in patients with moderate heart failure. J Am Coll Cardiol 32:948–954

    Article  PubMed  Google Scholar 

  15. Aschauer S, Kammerlander AA, Zotter-Tufaro C et al (2016) The right heart in heart failure with preserved ejection fraction: insights from cardiac magnetic resonance imaging and invasive haemodynamics. Eur J Heart Fail 18:71–80

    Article  PubMed  Google Scholar 

  16. Pouleur AC, Rousseau MF, Ahn SA et al (2016) Right ventricular systolic dysfunction assessed by cardiac magnetic resonance is a strong predictor of cardiovascular death after coronary bypass grafting. Ann Thorac Surg 101:2176–2184

    Article  PubMed  Google Scholar 

  17. Kawut SM, Lima JA, Barr RG et al (2011) Sex and race differences in right ventricular structure and function: the multi-ethnic study of atherosclerosis-right ventricle study. Circulation 123:2542–2551

    Article  PubMed  PubMed Central  Google Scholar 

  18. Bamberg F, Hetterich H, Rospleszcz S et al (2017) Subclinical disease burden as assessed by whole-body MRI in subjects with prediabetes, subjects with diabetes, and normal control subjects from the general population: the KORA-MRI study. Diabetes 66:158–169

    Article  PubMed  CAS  Google Scholar 

  19. Holle R, Happich M, Löwel H, Wichmann HE, MONICA/KORA Study Group (2005) KORA – a research platform for population based health research. Gesundheitswesen 67:S19–S25

    Article  PubMed  Google Scholar 

  20. WHO (2006) Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia. WHO, Geneva. Available via http://www.who.int/diabetes/publications/diagnosis_diabetes2006/en/. Accessed 17 Nov 2017

  21. Schulz-Menger J, Bluemke DA, Bremerich J 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 

  22. Alfakih K, Plein S, Thiele H, Jones T, Ridgway JP, Sivananthan MU (2003) Normal human left and right ventricular dimensions for MRI as assessed by turbo gradient echo and steady-state free precession imaging sequences. J Magn Reson Imaging 17:323–329

    Article  PubMed  Google Scholar 

  23. Roifman I, Ghugre N, Zia MI et al (2016) Diabetes is an independent predictor of right ventricular dysfunction post ST-elevation myocardial infarction. Cardiovasc Diabetol 15:34

    Article  PubMed  PubMed Central  Google Scholar 

  24. Seissler J, Feghelm N, Then C et al (2012) Vasoregulatory peptides proendothelin-1 and pro-adrenomedullin are associated with metabolic syndrome in the population-based KORA F4 study. Eur J Endocrinol 167:847–853

    Article  PubMed  CAS  Google Scholar 

  25. Ventetuolo CE, Ouyang P, Bluemke DA et al (2011) Sex hormones are associated with right ventricular structure and function: The MESA-right ventricle study. Am J Respir Crit Care Med 183:659–667

    Article  PubMed  Google Scholar 

  26. Kaufmann MR, Barr RG, Lima JA et al (2013) Right ventricular morphology and the onset of dyspnea: the MESA-right ventricle study. PLoS One 8:e56826

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  27. Leary PJ, Jenny NS, Barr RG et al (2014) Pentraxin-3 and the right ventricle: the Multi-Ethnic Study of Atherosclerosis-Right Ventricle Study. Pulm Circ 4:250–259

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  28. Aaron CP, Tandri H, Barr RG et al (2011) Physical activity and right ventricular structure and function. The MESA-Right Ventricle Study. Am J Respir Crit Care Med 183:396–404

    Article  PubMed  Google Scholar 

  29. Chahal H, McClelland RL, Tandri H et al (2012) Obesity and right ventricular structure and function: the MESA-Right Ventricle Study. Chest 141:388–395

    Article  PubMed  Google Scholar 

  30. Movahed MR, Milne N (2008) Poor correlation between left and right ventricular ejection fractions in patients with normal ventricular function. Exp Clin Cardiol 13:179–181

    PubMed  PubMed Central  Google Scholar 

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Funding

This study received funding from the Helmholtz Zentrum München – German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research (BMBF) and by the State of Bavaria. Furthermore, KORA research was supported by DZHK (Deutsches Zentrum für Herz-Kreislaufforschung – the German Centre for Cardiovascular Research). The KORA-MRI substudy received funding from the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft), and was also supported by an unrestricted research grant from Siemens Healthcare.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Holger Hetterich.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Holger Hetterich.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Statistics and biometry

One of the authors has significant statistical expertise.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Ethical approval

Institutional Review Board approval was obtained.

Study subjects or cohort overlap

Some study subjects or cohorts have been previously reported in papers on the KORA MRI substudy. Those previously published papers included data from all subjects of the present work. However, so far no data on right ventricular parameters has been published, which are the main focus of the present paper.

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Methodology

• retrospective

• cross sectional study

• performed at one institution

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Patscheider, H., Lorbeer, R., Auweter, S. et al. Subclinical changes in MRI-determined right ventricular volumes and function in subjects with prediabetes and diabetes. Eur Radiol 28, 3105–3113 (2018). https://doi.org/10.1007/s00330-017-5185-1

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  • DOI: https://doi.org/10.1007/s00330-017-5185-1

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