Silent myocardial infarction fatty scars detected by coronary calcium score CT scan in diabetic patients without history of coronary heart disease.

Cardiac-gated imaging techniques Coronary artery disease Diabetes mellitus Myocardial infarction Tomography, X-ray computed

Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
02 Aug 2023
Historique:
received: 05 12 2022
accepted: 16 05 2023
revised: 14 05 2023
medline: 2 8 2023
pubmed: 2 8 2023
entrez: 2 8 2023
Statut: aheadofprint

Résumé

To evaluate the prevalence of intra-myocardial fatty scars (IMFS) most likely indicating previous silent myocardial infarction (SMI), as detected on coronary artery calcium (CAC) computed tomography (CT) scans in diabetic patients without history of coronary heart disease (CHD). Diabetic patients screened for silent coronary insufficiency in a tertiary-care, university hospital between Jan-2015 and Dec-2016 were categorized according to their CAC score in two groups comprising 242 patients with CACS = 0 and 145 patients with CACS ≥ 300. CAC-CT scans were retrospectively evaluated for subendorcardial and transmural IMFS of the left ventricle. Adipose remodeling, patients' characteristics, cardiovascular risk factors and metabolic profile were compared between groups. Eighty-three (21%) patients with IMFS were identified, 55 (37.9%) in the group CACS ≥ 300 and 28 (11.6%) in the CACS = 0 (OR = 4.67; 95% CI = 2.78-7.84; p < 0.001). Total and average surface of IMFS and their number per patient were similar in both groups (p = 0.55; p = 0.29; p = 0.61, respectively). In the group CACS ≥ 300, patients with IMFS were older (p = 0.03) and had longer-lasting diabetes (p = 0.04). Patients with IMFS were older and had longer history of diabetes, reduced glomerular filtration rate, more coronary calcifications (all p < 0.05), and higher prevalence of carotid plaques (OR = 3.03; 95% CI = 1.43-6.39, p = 0.004). After correction for other variables, only a CACS ≥ 300 (OR = 5.12; 95% CI = 2.66-9.85; p < 0.001) was associated with an increased risk of having IMFS. In diabetic patients without known CHD, IMFSs were found in patients without coronary calcifications, although not as frequently as in patients with heavily calcified coronary arteries. It remains to be established if this marker translates in an upwards cardiovascular risk restratification especially in diabetic patients with CACS = 0. In diabetic patients without history of coronary heart disease, intramyocardial fatty scars, presumably of post-infarction origin, can be detected on coronary artery calcium CT scans more frequently, but not exclusively, if the coronary arteries are heavily calcified as compared to those without calcifications. • Intramyocardial fatty scars (IMFS), presumably of post-infarction origin, can be detected on coronary artery calcium (CAC) CT scans more frequently, but not exclusively, in diabetic patients with CACS ≥ 300 as compared to patients CACS = 0. • Patients with IMFS were older and had longer history of diabetes, reduced glomerular filtration rate, and more coronary calcifications. • Carotid plaques and CACS ≥ 300 were associated with an increased risk of having IMFS, about three and five folds respectively.

Identifiants

pubmed: 37530810
doi: 10.1007/s00330-023-09940-2
pii: 10.1007/s00330-023-09940-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023. The Author(s).

Références

Creager MA, Lüscher TF, Cosentino F, Beckman JA (2003) Diabetes and vascular disease. Pathophysiology, clinical consequences, and medical therapy: part I. Circulation 108:1527–1532. https://doi.org/10.1161/01.CIR.0000091257.27563.32
doi: 10.1161/01.CIR.0000091257.27563.32 pubmed: 14504252
Valensi P, Lorgis L, Cottin Y (2011) Prevalence, incidence, predictive factors and prognosis of silent myocardial infarction: a review of the literature. Arch Cardiovasc Dis 104:178–188. https://doi.org/10.1016/j.acvd.2010.11.013
doi: 10.1016/j.acvd.2010.11.013 pubmed: 21497307
Ryden L, Grant PJ, Anker SD et al (2013) ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. Eur Heart J 34:3035–3087. https://doi.org/10.1093/eurheartj/eht108
doi: 10.1093/eurheartj/eht108 pubmed: 23996285
Cosson E, Nguyen MT, Chanu B et al (2011) Cardiovascular risk prediction is improved by adding asymptomatic coronary status to routine risk assessment in type 2 diabetic patients. Diabetes Care 34:2101–2107. https://doi.org/10.2337/dc11-0480
doi: 10.2337/dc11-0480 pubmed: 21775753 pmcid: 3161257
Cosentino F, Grant PJ, Aboyans V et al (2020) 2019 ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. Eur Heart J 41:255–323. https://doi.org/10.1093/eurheartj/ehz486
doi: 10.1093/eurheartj/ehz486 pubmed: 31497854
Anand DV, Lim E, Hopkins D et al (2006) Risk stratification in uncomplicated type 2 diabetes: prospective evaluation of the combined use of coronary artery calcium imaging and selective myocardial perfusion scintigraphy. Eur Heart J 27:713–721. https://doi.org/10.1093/eurheartj/ehi808
doi: 10.1093/eurheartj/ehi808 pubmed: 16497686
Su L, Siegel JE, Fishbein MC (2004) Adipose tissue in myocardial infarction. Cardiovasc Pathol 13:98–102. https://doi.org/10.1016/S1054-8807(03)00134-0
doi: 10.1016/S1054-8807(03)00134-0 pubmed: 15033159
Ichikawa Y, Kitagawa K, Chino S et al (2009) Adipose tissue detected by multislice computed tomography in patients after myocardial infarction. J Am Coll Cardiol 2:548–555. https://doi.org/10.1016/j.jcmg.2009.01.010
doi: 10.1016/j.jcmg.2009.01.010
Rodríguez-Granillo GA, Rosales MA, Renes P et al (2010) Chronic myocardial infarction detection and characterization during coronary artery calcium scoring acquisitions. J Cardiovasc Comput Tomogr 4:99–107. https://doi.org/10.1016/j.jcct.2009.12.003
doi: 10.1016/j.jcct.2009.12.003 pubmed: 20060800
Fuchs TA, Ghadri JR, Stehli J et al (2012) Hypodense regions in unenhanced CT identify nonviable myocardium: validation versus 18F-FDG PET. Eur J Nucl Med Mol Imaging 39:1920–1926. https://doi.org/10.1007/s00259-012-2212-y
doi: 10.1007/s00259-012-2212-y pubmed: 22926710
Cheniti G, Sridi S, Sacher F et al (2019) Post–myocardial infarction scar with fat deposition shows specific electrophysiological properties and worse outcome after ventricular tachycardia ablation. J Am Heart Assoc 8:1–11. https://doi.org/10.1161/JAHA.119.012482
doi: 10.1161/JAHA.119.012482
Davis TME, Coleman RL, Holman RR (2013) Prognostic significance of silent myocardial infarction in newly diagnosed type 2 diabetes mellitus: United Kingdom prospective diabetes study (UKPDS) 79. Circulation 127:980–987. https://doi.org/10.1161/CIRCULATIONAHA.112.000908
doi: 10.1161/CIRCULATIONAHA.112.000908 pubmed: 23362315
Gaudillière M, Marsot C, Balaire L et al (2021) Higher prevalence of incidental findings identified upon coronary calcium score assessment in type 2 and type 3 diabetes versus type 1 diabetes. PLoS One 16:1–11. https://doi.org/10.1371/journal.pone.0251693
doi: 10.1371/journal.pone.0251693
Budoff MJ, Raggi P, Beller GA et al (2016) Noninvasive cardiovascular risk assessment of the asymptomatic diabetic patient. JACC Cardiovasc Imaging 9:176–192. https://doi.org/10.1016/j.jcmg.2015.11.011
doi: 10.1016/j.jcmg.2015.11.011 pubmed: 26846937 pmcid: 5371352
Detrano R, Guerci AD, Carr JJ et al (2008) Coronary calcium as a predictor of coronary events in four racial or ethnic groups. N Engl J Med 358:1336–1345. https://doi.org/10.1056/nejmoa072100
doi: 10.1056/nejmoa072100 pubmed: 18367736
Kwong RY, Sattar H, Wu H et al (2008) Incidence and prognostic implication of unrecognized myocardial scar characterized by cardiac magnetic resonance in diabetic patients without clinical evidence of myocardial infarction. Circulation 118:1011–1020. https://doi.org/10.1161/CIRCULATIONAHA.107.727826
doi: 10.1161/CIRCULATIONAHA.107.727826 pubmed: 18725488 pmcid: 2743310
Valensi P, Pariès J, Brulport-Cerisier V et al (2005) Predictive value of silent myocardial ischemia for cardiac events in diabetic patients: influence of age in a French multicenter study. Diabetes Care 28:2722–2727. https://doi.org/10.2337/diacare.28.11.2722
doi: 10.2337/diacare.28.11.2722 pubmed: 16249546
Burgess DC, Hunt D, Li L et al (2010) Incidence and predictors of silent myocardial infarction in type 2 diabetes and the effect of fenofibrate: an analysis from the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study. Eur Heart J 31:92–99. https://doi.org/10.1093/eurheartj/ehp377
doi: 10.1093/eurheartj/ehp377 pubmed: 19797259
Yoon YE, Kitagawa K, Kato S et al (2012) Prognostic significance of unrecognized myocardial infarction detected with MR imaging in patients with impaired fasting glucose compared with those with diabetes. Radiology 262:807–815. https://doi.org/10.1148/radiol.11110967
doi: 10.1148/radiol.11110967 pubmed: 22274838
Baroldi G, Silver MD, De Maria R et al (1997) Lipomatous metaplasia in left ventricular scar. Can J Cardiol 13:65–71
pubmed: 9039067
Feng Y, Chen F, Xie Y et al (2013) Lipomatous metaplasia identified in rabbits with reperfused myocardial infarction by 3 . 0 T magnetic resonance imaging and histopathology. BMC Med Imaging 13:18. https://doi.org/10.1186/1471-2342-13-18
Pouliopoulos J, Chik WWB, Kanthan A et al (2013) Intramyocardial adiposity after myocardial infarction new implications of a substrate for ventricular tachycardia. Circulation 128:2296–2308. https://doi.org/10.1161/CIRCULATIONAHA.113.002238
Goldfarb JW, Roth M, Han J (2009) Myocardial fat deposition after left ventricular myocardial infarction: assessment by using MR water-fat separation imaging. Radiology 253:65–73. https://doi.org/10.1148/radiol.2532082290
doi: 10.1148/radiol.2532082290 pubmed: 19703860
Mbchb IM, Radjenovic A, Mbchb TS et al (2015) Prevalence and prognostic significance of lipomatous metaplasia in patients with prior myocardial infarction. JACC Cardiovasc Imaging 8:1111–1112. https://doi.org/10.1016/j.jcmg.2014.07.024
doi: 10.1016/j.jcmg.2014.07.024
Kimura F, Matsuo Y, Nakajima T et al (2010) Myocardial fat at cardiac imaging: how can we differentiate pathologic from physiologic fatty infiltration? Radiographics 30:1587–1602. https://doi.org/10.1148/rg.306105519
doi: 10.1148/rg.306105519 pubmed: 21071377
Park EA, Lee W, Na SH et al (2013) Left ventricular fat deposition on CT in patients without proven myocardial disease. Int J Cardiovasc Imaging 29:37–45. https://doi.org/10.1007/s10554-013-0243-5
doi: 10.1007/s10554-013-0243-5
Raney AR, Saremi F, Kenchaiah S et al (2008) Multidetector computed tomography shows intramyocardial fat deposition. J Cardiovasc Comput Tomogr 2:152–163. https://doi.org/10.1016/j.jcct.2008.01.004
doi: 10.1016/j.jcct.2008.01.004 pubmed: 19083940
Bos D, Leening MJG (2018) Leveraging the coronary calcium scan beyond the coronary calcium score. Eur Radiol 28:3082–3087
doi: 10.1007/s00330-017-5264-3 pubmed: 29383526 pmcid: 5986828
Davis TME, Fortun P, Mulder J et al (2004) Silent myocardial infarction and its prognosis in a community-based cohort of type 2 diabetic patients: the Fremantle Diabetes Study. Diabetologia 47:395–399. https://doi.org/10.1007/s00125-004-1344-4
doi: 10.1007/s00125-004-1344-4 pubmed: 14963648
Elliott MD, Heitner JF, Kim H et al (2019) Prevalence and prognosis of unrecognized myocardial infarction in asymptomatic patients with diabetes: a two-center study with up to 5 years of follow-up. Diabetes Care 42:1290–1296. https://doi.org/10.2337/dc18-2266
doi: 10.2337/dc18-2266 pubmed: 31010876 pmcid: 6973647
Amier RP, Smulders MW, van der Flier WM et al (2018) Long-term prognostic implications of previous silent myocardial infarction in patients presenting with acute myocardial infarction. JACC Cardiovasc Imaging 11:1773–1781. https://doi.org/10.1016/j.jcmg.2018.02.009
doi: 10.1016/j.jcmg.2018.02.009 pubmed: 29680352
Inaba Y, Chen JA, Bergmann SR (2012) Carotid plaque, compared with carotid intima-media thickness, more accurately predicts coronary artery disease events: a meta-analysis. Atherosclerosis 220:128–133. https://doi.org/10.1016/j.atherosclerosis.2011.06.044
doi: 10.1016/j.atherosclerosis.2011.06.044 pubmed: 21764060
Akazawa S, Tojikubo M, Nakano Y et al (2016) Usefulness of carotid plaque (sum and maximum of plaque thickness) in combination with intima-media thickness for the detection of coronary artery disease in asymptomatic patients with diabetes. J Diabetes Investig 7:396–403. https://doi.org/10.1111/jdi.12403
doi: 10.1111/jdi.12403 pubmed: 27330727
Wagner A, Mahrholdt H, Holly TA et al (2003) Contrast-enhanced MRI and routine single photon emission computed tomography (SPECT) perfusion imaging for detection of subendocardial myocardial infarcts: an imaging study. Lancet 361:374–379. https://doi.org/10.1016/S0140-6736(03)12389-6
doi: 10.1016/S0140-6736(03)12389-6 pubmed: 12573373
Ibrahim T, Bülow HP, Hackl T et al (2007) Diagnostic value of contrast-enhanced magnetic resonance imaging and single-photon emission computed tomography for detection of myocardial necrosis early after acute myocardial infarction. J Am Coll Cardiol 49:208–216. https://doi.org/10.1016/j.jacc.2006.08.047
doi: 10.1016/j.jacc.2006.08.047 pubmed: 17222732
Bucha A, D’Souza J, Pant R, Joseph JM (2018) Delayed hyper-enhancement in cardiac MRI compared to nuclear perfusion scintigraphy in identification of viable myocardium in patients of myocardial infarction - a study. J Cardiovasc Dis Res 9:15–19. https://doi.org/10.5530/jcdr.2018.1.4
doi: 10.5530/jcdr.2018.1.4
Andrade JM, Gowdak LHW, Giorgi MCP et al (2009) Cardiac MRI for detection of unrecognized myocardial infarction in patients with end-stage renal disease: comparison with ECG and scintigraphy. AJR Am J Roentgenol 193:25–32. https://doi.org/10.2214/AJR.08.1389
doi: 10.2214/AJR.08.1389
Kitagawa K, Sakuma H, Hirano T et al (2003) Acute myocardial infarction: myocardial viability assessment in patients early thereafter—comparison of contrast-enhanced MR imaging with resting 201 Tl SPECT. Radiology 226:138–144. https://doi.org/10.1148/radiol.2261012108
doi: 10.1148/radiol.2261012108 pubmed: 12511682

Auteurs

Sara Boccalini (S)

Department of Cardiovascular Radiology, Hôpital Pradel, Hospices Civils de Lyon, Lyon, France. sara.boccalini@chu-lyon.fr.
University Claude Bernard Lyon 1, Lyon, France. sara.boccalini@chu-lyon.fr.

Marie Teulade (M)

University Claude Bernard Lyon 1, Lyon, France.
Department of Endocrinology Louis Pradel University Hospital, Hospices Civils de Lyon, INSERM UMR 1060, Carmen, Lyon, France.

Emilie Paquet (E)

Department of Nuclear Medicine, Hôpital Louis Pradel, Hospices Civils de Lyon, Lyon, France.

Salim Si-Mohamed (S)

Department of Cardiovascular Radiology, Hôpital Pradel, Hospices Civils de Lyon, Lyon, France.
University Claude Bernard Lyon 1, Lyon, France.

Fabio Rapallo (F)

Department of Economics, University of Genova, Genoa, Italy.

Caroline Moreau-Triby (C)

Department of Nuclear Medicine, Hôpital Louis Pradel, Hospices Civils de Lyon, Lyon, France.

Sybil Charrière (S)

University Claude Bernard Lyon 1, Lyon, France.
Department of Endocrinology Louis Pradel University Hospital, Hospices Civils de Lyon, INSERM UMR 1060, Carmen, Lyon, France.

Nathan Mewton (N)

University Claude Bernard Lyon 1, Lyon, France.
Department of Cardiology, Hôpital Louis Pradel, Hospices Civils de Lyon, Lyon, France.

Loic Boussel (L)

Department of Radiology, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.

Cyrille Bergerot (C)

Department of Cardiology, Hôpital Louis Pradel, Hospices Civils de Lyon, Lyon, France.

Philippe Douek (P)

Department of Cardiovascular Radiology, Hôpital Pradel, Hospices Civils de Lyon, Lyon, France.
University Claude Bernard Lyon 1, Lyon, France.

Philippe Moulin (P)

University Claude Bernard Lyon 1, Lyon, France.
Department of Endocrinology Louis Pradel University Hospital, Hospices Civils de Lyon, INSERM UMR 1060, Carmen, Lyon, France.

Classifications MeSH