Intima-media thickness at the near or far wall of the common carotid artery in cardiovascular risk assessment

Author:

Seekircher Lisa1ORCID,Tschiderer Lena1ORCID,Lind Lars2ORCID,Safarova Maya S3,Kavousi Maryam4ORCID,Ikram M Arfan4ORCID,Lonn Eva56,Yusuf Salim56,Grobbee Diederick E7,Kastelein John J P8,Visseren Frank L J9,Walters Matthew10,Dawson Jesse11,Higgins Peter11,Agewall Stefan1213,Catapano Alberico1415,de Groot Eric1617,Espeland Mark A18,Klingenschmid Gerhard19,Magliano Dianna20,Olsen Michael H21,Preiss David22,Sander Dirk2324,Skilton Michael25,Zozulińska-Ziółkiewicz Dorota A26,Grooteman Muriel P C27,Blankestijn Peter J28,Kitagawa Kazuo29,Okazaki Shuhei30,Manzi Maria V31,Mancusi Costantino31ORCID,Izzo Raffaele31ORCID,Desvarieux Moise3233,Rundek Tatjana34,Gerstein Hertzel C56,Bots Michiel L7,Sweeting Michael J3536,Lorenz Matthias W3738,Willeit Peter136ORCID

Affiliation:

1. Institute of Health Economics, Department of Medical Statistics, Informatics, and Health Economics, Medical University of Innsbruck , Anichstraße 35, 6020 Innsbruck , Austria

2. Department of Medicine, Uppsala University , Uppsala , Sweden

3. Division of Cardiovascular Medicine, Department of Medicine, Froedtert and Medical College of Wisconsin , Milwaukee, WI , USA

4. Department of Epidemiology, Erasmus University Medical Center , Rotterdam , The Netherlands

5. Department of Medicine and Population Health Research Institute, McMaster University , Hamilton, Ontario , Canada

6. Hamilton General Hospital , Hamilton, Ontario , Canada

7. Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht , Utrecht , The Netherlands

8. Department of Vascular Medicine, Academic Medical Centre, University of Amsterdam , Amsterdam , The Netherlands

9. Department of Vascular Medicine, University Medical Center Utrecht , Utrecht , The Netherlands

10. School of Medicine, Dentistry and Nursing, University of Glasgow , Glasgow , UK

11. Institute of Cardiovascular and Medical Sciences, University of Glasgow , Glasgow , UK

12. Department of Clinical Sciences, Division of Cardiology, Danderyd Hospital, Karolinska Institutet , Stockholm , Sweden

13. Institute of Clinical Sciences, University of Oslo , Oslo , Norway

14. Department of Pharmacological and Biomolecular Sciences, University of Milan , Milan , Italy

15. IRCCS Multimedica , Milan , Italy

16. Imagelabonline & Cardiovascular , Erichem , The Netherlands

17. Department of Gastroenterology and Hepatology, Amsterdam UMC-Academic Medical Centre , Amsterdam , The Netherlands

18. Department of Biostatistics and Data Science, Wake Forest School of Medicine , Winston-Salem, NC , USA

19. Department of Neurology, Medical University of Innsbruck , Innsbruck , Austria

20. Department of Epidemiology and Preventive Medicine, Monash University, Alfred Hospital , Melbourne , Australia

21. Department of Internal Medicine, Holbaek Hospital, University of Southern Denmark , Odense , Denmark

22. Nuffield Department of Population Health, MRC Population Health Research Unit, Clinical Trial Service Unit, University of Oxford , Oxford , UK

23. Department of Neurology, Benedictus Hospital Tutzing & Feldafing , Feldafing , Germany

24. Department of Neurology, Technische Universität München , Munich , Germany

25. Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney , Sydney, NSW , Australia

26. Department of Internal Medicine and Diabetology, Poznan University of Medical Sciences , Poznan , Poland

27. Department of Nephrology, Amsterdam Cardiovascular Sciences, Amsterdam UMC , Amsterdam , The Netherlands

28. Department of Nephrology, University Medical Center Utrecht , Utrecht , The Netherlands

29. Department of Neurology, Tokyo Women’s Medical University , Tokyo , Japan

30. Department of Neurology, Osaka University Graduate School of Medicine , Osaka , Japan

31. Department of Advanced Biomedical Sciences, Federico II University , Naples , Italy

32. Department of Epidemiology, Mailman School of Public Health, Columbia University , New York, NY , USA

33. METHODS Core, Centre de Recherche Epidémiologie et Statistique Paris Sorbonne Cité (CRESS), Institut National de la Santé et de la Recherche Médicale (INSERM) UMR 1153 , Paris , France

34. Department of Neurology, University of Miami Miller School of Medicine , Miami, FL , USA

35. Department of Health Sciences, University of Leicester , Leicester , UK

36. British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge , Papworth Road, Cambridge CB2 0BB , UK

37. Department of Neurology, Goethe University , Frankfurt am Main , Germany

38. Klinik für Neurologie, Krankenhaus Nordwest , Frankfurt am Main , Germany

Abstract

Abstract Aims Current guidelines recommend measuring carotid intima-media thickness (IMT) at the far wall of the common carotid artery (CCA). We aimed to precisely quantify associations of near vs. far wall CCA-IMT with the risk for atherosclerotic cardiovascular disease (CVD, defined as coronary heart disease or stroke) and their added predictive values. Methods and results We analysed individual records of 41 941 participants from 16 prospective studies in the Proof-ATHERO consortium {mean age 61 years [standard deviation (SD) = 11]; 53% female; 16% prior CVD}. Mean baseline values of near and far wall CCA-IMT were 0.83 (SD = 0.28) and 0.82 (SD = 0.27) mm, differed by a mean of 0.02 mm (95% limits of agreement: −0.40 to 0.43), and were moderately correlated [r = 0.44; 95% confidence interval (CI): 0.39–0.49). Over a median follow-up of 9.3 years, we recorded 10 423 CVD events. We pooled study-specific hazard ratios for CVD using random-effects meta-analysis. Near and far wall CCA-IMT values were approximately linearly associated with CVD risk. The respective hazard ratios per SD higher value were 1.18 (95% CI: 1.14–1.22; I² = 30.7%) and 1.20 (1.18–1.23; I² = 5.3%) when adjusted for age, sex, and prior CVD and 1.09 (1.07–1.12; I² = 8.4%) and 1.14 (1.12–1.16; I²=1.3%) upon multivariable adjustment (all P < 0.001). Assessing CCA-IMT at both walls provided a greater C-index improvement than assessing CCA-IMT at one wall only [+0.0046 vs. +0.0023 for near (P < 0.001), +0.0037 for far wall (P = 0.006)]. Conclusions The associations of near and far wall CCA-IMT with incident CVD were positive, approximately linear, and similarly strong. Improvement in risk discrimination was highest when CCA-IMT was measured at both walls.

Funder

Austrian Science Fund

Publisher

Oxford University Press (OUP)

Subject

Pharmacology

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