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High-sensitivity cardiac troponin T and severity of cerebral white matter lesions in patients with acute ischemic stroke

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Abstract

Introduction

Cardiac troponin (hs-cTnT) is a sensitive marker of myocardial injury and has been linked to incident dementia. The underlying mechanism of that observation is still unknown. Given that severity of cerebral small vessel disease is a predictor of cognitive decline, we aimed to explore whether there is an association between hs-cTnT and severity of white matter lesions (WML) as a marker of cerebral small vessel disease in patients with ischemic stroke.

Methods

We analyzed consecutive acute ischemic stroke patients admitted to Charité-University Hospital, Berlin from 2011 to 2013. Severity of WML was graded on 3T-MRI using the age-related white matter severity score (ARWMS). Patients with hs-cTnT elevation suggestive of acute coronary syndrome (ACS) were excluded (hs-cTnT > 52 ng/l or dynamic change of hs-cTnT > 50%, ESC guideline). We performed unadjusted and adjusted quantile regression models to assess the association between increased hs-cTnT (dichotomized at the 99th percentile, 14 ng/l) and severity of WML.

Results

A total of 860 patients was analyzed (median age 73 years, 44.8% female, median ARWMS 6). Patients with elevated hs-cTnT had more extensive WML than those without (median ARWMS 8 vs. 5, adjusted beta for 50th percentile 1.12, 95% CI 0.41–1.84). The association between WML and hs-cTnT elevation was strongest in patients with severe WML (adjusted beta 1.77, 95% CI 0.26–3.27 for 80th WML percentile).

Conclusion

Elevated hs-cTnT levels were associated with extent of WML in acute stroke patients. Further studies are needed to assess whether hs-cTnT can be used to identify stroke patients at risk for cognitive decline.

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References

  1. Twerenbold R, Boeddinghaus J, Nestelberger T et al (2018) How to best use high-sensitivity cardiac troponin in patients with suspected myocardial infarction. Clin Biochem 53:143–155 

    Article  CAS  PubMed  Google Scholar 

  2. Lee GR, Jhanji S, Tarrant H, James S, Pearse RM, Fitzgibbon M (2014) Peri-operative troponin monitoring using a prototype high-sensitivity cardiac troponin I (hs-cTnI) assay: comparisons with hs-cTnT and contemporary cTnI assays. Ann Clin Biochem 51(2):258–268

    Article  PubMed  Google Scholar 

  3. Wijsman LW, de Craen AJ, Trompet S et al (2016) High-sensitivity cardiac troponin T is associated with cognitive decline in older adults at high cardiovascular risk. Eur J Prev Cardiol 23(13):1383–1392

    Article  PubMed  Google Scholar 

  4. Schneider AL, Rawlings AM, Sharrett AR (2014) High-sensitivity cardiac troponin T and cognitive function and dementia risk: the atherosclerosis risk in communities study. Eur Heart J 35(27):1817–1824

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Debette S, Markus HS (2010) The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ 341:c3666

    Article  PubMed  PubMed Central  Google Scholar 

  6. de Groot M, Verhaaren BF, de Boer R et al (2013) Changes in normal-appearing white matter precede development of white matter lesions. Stroke 44(4):1037–1042

    Article  PubMed  Google Scholar 

  7. Schmidt R, Ropele S, Enzinger C et al (2005) White matter lesion progression, brain atrophy, and cognitive decline: the Austrian stroke prevention study. Ann Neurol 58(4):610–616

    Article  PubMed  Google Scholar 

  8. Knopman DS, Griswold ME, Lirette ST et al (2015) Vascular imaging abnormalities and cognition: mediation by cortical volume in nondemented individuals: atherosclerosis risk in communities-neurocognitive study. Stroke 46(2):433–440

    Article  PubMed  PubMed Central  Google Scholar 

  9. Kloppenborg RP, Nederkoorn PJ, Geerlings MI, van den Berg E (2014) Presence and progression of white matter hyperintensities and cognition: a meta-analysis. Neurology 82(23):2127–2138

    Article  PubMed  Google Scholar 

  10. Schmidt R, Berghold A, Jokinen H et al (2012) White matter lesion progression in LADIS: frequency, clinical effects, and sample size calculations. Stroke 43(10):2643–2647

    Article  PubMed  Google Scholar 

  11. Kliper E, Ben Assayag E, Tarrasch R et al (2014) Cognitive state following stroke: the predominant role of preexisting white matter lesions. PLoS One 9(8):e105461

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Leonards CO, Ipsen N, Malzahn U, Fiebach JB, Endres M, Ebinger M (2012) White matter lesion severity in mild acute ischemic stroke patients and functional outcome after 1 year. Stroke 43(11):3046–3051

    Article  PubMed  Google Scholar 

  13. van Dijk EJ, Prins ND, Vrooman HA, Hofman A, Koudstaal PJ, Breteler MM (2008) Progression of cerebral small vessel disease in relation to risk factors and cognitive consequences: Rotterdam Scan study. Stroke 39(10):2712–2719

    Article  PubMed  Google Scholar 

  14. Rozanski M, Richter TB, Grittner U, Endres M, Fiebach JB, Jungehulsing GJ (2014) Elevated levels of hemoglobin A1c are associated with cerebral white matter disease in patients with stroke. Stroke 45(4):1007–1011

    Article  CAS  PubMed  Google Scholar 

  15. Savva GM, Stephan BC, Alzheimer’s Society Vascular Dementia Systematic Review Group (2010) Epidemiological studies of the effect of stroke on incident dementia: a systematic review. Stroke 41(1):e41–e46

    Article  PubMed  Google Scholar 

  16. Kumar S, Selim MH, Caplan LR (2010) Medical complications after stroke. Lancet Neurol 9(1):105–118

    Article  PubMed  Google Scholar 

  17. Scheitz JF, Mochmann HC, Nolte CH et al (2011) Troponin elevation in acute ischemic stroke (TRELAS)—protocol of a prospective observational trial. BMC Neurol 11:98

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Scheitz JF, Nolte CH, Laufs U, Endres M (2015) Application and interpretation of high-sensitivity cardiac troponin assays in patients with acute ischemic stroke. Stroke 46(4):1132–1140

    Article  PubMed  Google Scholar 

  19. Wahlund LO, Barkhof F, Fazekas F et al (2001) A new rating scale for age-related white matter changes applicable to MRI and CT. Stroke 32(6):1318–1322

    Article  CAS  PubMed  Google Scholar 

  20. Levey AS. Stevens LA. Schmid CH et al (2009) A new equation to estimate glomerular filtration rate. Ann Intern Med 150:604–612

    Article  PubMed  PubMed Central  Google Scholar 

  21. Beyerlein A (2014) Quantile regression—opportunities and challenges from a user’s perspective. Am J Epidemiol 180(3):330–331

    Article  PubMed  Google Scholar 

  22. Hilal S, Chai YL, van Veluw S et al (2017) Association between subclinical cardiac biomarkers and clinically manifest cardiac diseases with cortical cerebral microinfarcts. JAMA Neurol 74(4):403–410

    Article  PubMed  PubMed Central  Google Scholar 

  23. Dadu RT, Fornage M, Virani SS et al (2013) Cardiovascular biomarkers and subclinical brain disease in the atherosclerosis risk in communities study. Stroke 44(7):1803–1808

    Article  PubMed  PubMed Central  Google Scholar 

  24. Zonneveld HI, Ikram MA, Hofman A et al (2017) N-Terminal pro-B-type natriuretic peptide and subclinical brain damage in the general population. Radiology 283(1):205–214

    Article  PubMed  Google Scholar 

  25. Russo C, Jin Z, Liu R et al (2013) LA volumes and reservoir function are associated with subclinical cerebrovascular disease: the CABL (Cardiovascular Abnormalities and Brain Lesions) study. JACC Cardiovasc Imag 6(3):313–323

    Article  Google Scholar 

  26. Russo C, Jin Z, Homma S et al (2013) Subclinical left ventricular dysfunction and silent cerebrovascular disease: the Cardiovascular Abnormalities and Brain Lesions (CABL) study. Circulation 128(10):1105

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Gouw AA, van der Flier WM, van Straaten EC et al (2008) Reliability and sensitivity of visual scales versus volumetry for evaluating white matter hyperintensity progression. Cerebrovasc Dis 25(3):247–253

    Article  CAS  PubMed  Google Scholar 

  28. Nolte CH, Endres M (2014) The heart of the matter: a link between troponin and dementia? Eur Heart J 35(27):1779–1781

    Article  PubMed  Google Scholar 

  29. Saunders JT, Nambi V, de Lemos JA et al (2011) Cardiac troponin T measured by a highly sensitive assay predicts coronary heart disease, heart failure, and mortality in the Atherosclerosis Risk in Communities Study. Circulation 123(13):1367–1376

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Kim BJ, Lee SH, Kim CK et al (2011) Advanced coronary artery calcification and cerebral small vessel diseases in the healthy elderly. Circ J 75(2):451–456

    Article  CAS  PubMed  Google Scholar 

  31. Willeit K (2014) Atherosclerosis and atrial fibrillation—two closely intertwined diseases. Atherosclerosis 233:679–681

    Article  CAS  PubMed  Google Scholar 

  32. Adameova D (2014) Role of microangiopathy in diabetic cardiomyopathy. Heart Fail Rev 19:25–33

    Article  PubMed  Google Scholar 

  33. de la Torre JC (2012) Cardiovascular risk factors promote brain hypoperfusion leading to cognitive decline and dementia. Cardiovasc Psychiatry Neurol 2012:367516

    PubMed  PubMed Central  Google Scholar 

  34. Psaty BM, Manolio TA, Kuller LH et al (1997) Incidence of and risk factors for atrial fibrillation in older adults. Circulation 96(7):2455–2461

    Article  CAS  PubMed  Google Scholar 

  35. Krause T, Werner K, Fiebach JB et al (2017) Stroke in right dorsal anterior insular cortex is related to myocardial injury. Ann Neurol 81(4):502–511

    Article  CAS  PubMed  Google Scholar 

  36. Omland T, Røsjø H, Giannitsis E, Agewall S (2015) Troponins in heart failure. Clin Chim Acta 443:78–84

    Article  CAS  PubMed  Google Scholar 

  37. Cannon JA, Moffitt P, Perez-Moreno AC et al (2017) Cognitive impairment and heart failure: systematic review and meta-analysis. J Card Fail 23(6):464–475

    Article  PubMed  Google Scholar 

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Correspondence to Regina von Rennenberg.

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Conflicts of interest

The authors declare that they have no conflict of interest.

Ethical approval

The study protocol conforms to the ethical guidelines of the 1975 Declaration of Helsinki. Since we analysed only anonymised patient data that were obtained during clinical routine no informed consent had to be provided and consultation of the institutional review board was not required.

Additional information

Christian H. Nolte and Jan F. Scheitz contributed equally.

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von Rennenberg, R., Siegerink, B., Ganeshan, R. et al. High-sensitivity cardiac troponin T and severity of cerebral white matter lesions in patients with acute ischemic stroke. J Neurol 266, 37–45 (2019). https://doi.org/10.1007/s00415-018-9085-3

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  • DOI: https://doi.org/10.1007/s00415-018-9085-3

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