Association of computed tomography-derived left ventricular size with major cardiovascular events in the general population: the Heinz Nixdorf recall study.
OBJECTIVE
To investigate the relationship between LV size as determined by non-contrast enhanced cardiac CT with incident cardiovascular disease in the general population free of clinical cardiovascular disease.


METHODS
LV axial area was quantified from non-contrast CT in axial, end-diastolic images at a mid-ventricular slice in participants from the population-based Heinz Nixdorf recall study, free of cardiovascular disease (n=3926, 59±8years, 53%female). LV size index (LVI) was defined as the quotient of LV area and body surface area. Major CV events (coronary events, stroke, CV death) were assessed during follow-up. Association of LVI with events was assessed using Cox regression analysis in unadjusted and multivariable adjusted models.


RESULTS
During 8.0±1.5years of follow-up, 219 subjects developed a major CV event. Those with events had larger LVI at baseline (2258±352 vs. 2149±276 mm2/m2, p<0.0001). In univariate analysis, increase of LVI by 1 standard deviation was associated with 40% higher risk of events (HR(95%CI):1.41(1.26-1.59), p<0.0001). Associations remained statistically significant after adjustment for CV risk factors (1.24(1.10-1.40), p=0.0007) and when further adjusting for CAC (1.21(1.07-1.37), p=0.003). There was a trend towards stronger association for subjects with low CAC-score (CAC<100:1.41(1.16-1.71), p=0.0005, CAC≥100:1.24(1.06-1.44), p=0.006) in univariate analysis which persisted after multivariable adjustment (CAC<100: 1.41(1.14-1.73), p=0.001, CAC≥100: 1.12(0.96-1.31), p=0.16).


CONCLUSIONS
CT-derived LV size is associated with incident major CV events independent of traditional risk factors and CAC-score in a population-based cohort and may improve the prediction of hard events especially in subjects with low CAC-scores.
West German Heart and Vascular Center, Department of Cardiology, Germany.
Iryna
I
Dykun
Institute of Medical Informatics, Biometry, and Epidemiology, University of Duisburg-Essen, Essen, Germany.
Marie H
MH
Geisel
West German Heart and Vascular Center, Department of Cardiology, Germany.
Hagen
H
Kälsch
Institute of Medical Informatics, Biometry, and Epidemiology, University of Duisburg-Essen, Essen, Germany.
Nils
N
Lehmann
West German Heart and Vascular Center, Department of Cardiology, Germany.
Marcus
M
Bauer
Institute of Medical Informatics, Biometry, and Epidemiology, University of Duisburg-Essen, Essen, Germany.
Susanne
S
Moebus
Institute of Medical Informatics, Biometry, and Epidemiology, University of Duisburg-Essen, Essen, Germany.
Karl-Heinz
KH
Jöckel
Krankenhaus Bethanien, Department of Cardiology, Moers, Germany.
Stefan
S
Möhlenkamp
West German Heart and Vascular Center, Department of Cardiology, Germany.
Raimund
R
Erbel
West German Heart and Vascular Center, Department of Cardiology, Germany. Electronic address: amir-abbas.mahabadi@uk-essen.de.
Amir A
AA
Mahabadi
D000368:Aged; D003327:Coronary Disease / Q000175:diagnosis / Q000453:epidemiology* / Q000401:mortality; D018572:Disease-Free Survival; D005260:Female; D005858:Germany / Q000453:epidemiology; D006352:Heart Ventricles / Q000000981:diagnostic imaging* / Q000503:physiopathology; D006801:Humans; D017379:Hypertrophy, Left Ventricular / Q000000981:diagnostic imaging* / Q000453:epidemiology / Q000401:mortality / Q000503:physiopathology; D015994:Incidence; D053208:Kaplan-Meier Estimate; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011237:Predictive Value of Tests; D016016:Proportional Hazards Models; D011446:Prospective Studies; D012307:Risk Factors; D020521:Stroke / Q000175:diagnosis / Q000453:epidemiology* / Q000401:mortality; D013997:Time Factors; D014057:Tomography, X-Ray Computed; D016277:Ventricular Function, Left
Computed tomography; Coronary artery calcification; Epidemiology; Heinz Nixdorf recall study; Left ventricle; Prevention