title: Prognostic value of renal dysfunction for the prediction of outcome versus results of computed tomographic coronary angiography.
abstract: Chronic kidney disease (CKD) is associated with cardiovascular (CV) events caused by advanced atherosclerosis. Computed tomographic coronary angiography (CTA) can accurately diagnose coronary artery disease (CAD) and predict CV outcomes. The aim of the present study was to evaluate whether moderate CKD provides prognostic information for CV events in patients undergoing CTA. In total 885 patients with suspected CAD underwent CTA and were stratified to moderate CKD (85 patients) or no CKD (770 patients) based on a cut-off estimated glomerular filtration rate of 60 ml/min/1.73 m(2). After 896 days of follow-up, 42 patients developed CV events. Annualized CV event rates were 1.2% in patients with no CKD and no CAD, 2.5% in patients with moderate CKD alone, 2.5% in patients with obstructive CAD alone, and 3.7% in those with moderate CKD and obstructive CAD. Multivariate models demonstrated that moderate CKD (hazard ratio 2.39, confidence interval 1.09 to 5.21, p = 0.03) and obstructive CAD (hazard ratio 2.76, confidence interval 1.40 to 5.44, p <0.01) were independent predictors of CV events. Importantly, moderate CKD provided incremental prognostic information in addition to clinical characteristics and obstructive CAD (chi-square 49.4, p = 0.04). In conclusion, moderate CKD was associated with CV events and provided incremental prognostic information.
authors.affiliation: Department of Cardiology, Leiden University Medical Center, the Netherlands.
authors.forename: Kai Hang
authors.initials: KH
authors.lastname: Yiu
authors.forename: Fleur R
authors.initials: FR
authors.lastname: de Graaf
authors.forename: Joanne D
authors.initials: JD
authors.lastname: Schuijf
authors.forename: Jacob M
authors.initials: JM
authors.lastname: van Werkhoven
authors.forename: Joella E
authors.initials: JE
authors.lastname: van Velzen
authors.forename: Mark J
authors.initials: MJ
authors.lastname: Boogers
authors.forename: Cornelis J
authors.initials: CJ
authors.lastname: Roos
authors.forename: Mihály K
authors.initials: MK
authors.lastname: de Bie
authors.forename: Aju
authors.initials: A
authors.lastname: Pazhenkottil
authors.forename: Lucia J
authors.initials: LJ
authors.lastname: Kroft
authors.forename: Eric
authors.initials: E
authors.lastname: Boersma
authors.forename: Bernhard
authors.initials: B
authors.lastname: Herzog
authors.forename: Albert
authors.initials: A
authors.lastname: de Roos
authors.forename: Philipp A
authors.initials: PA
authors.lastname: Kaufmann
authors.forename: Jeroen J
authors.initials: JJ
authors.lastname: Bax
authors.forename: J Wouter
authors.initials: JW
authors.lastname: Jukema
mesh_terms: D050197:Atherosclerosis / Q000150:complications* / Q000000981:diagnostic imaging / Q000453:epidemiology; D016001:Confidence Intervals; D017023:Coronary Angiography / Q000379:methods*; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging*; D005260:Female; D005500:Follow-Up Studies; D005919:Glomerular Filtration Rate; D006801:Humans; D015994:Incidence; D007676:Kidney Failure, Chronic / Q000175:diagnosis* / Q000453:epidemiology / Q000209:etiology; D008297:Male; D008875:Middle Aged; D009426:Netherlands / Q000453:epidemiology; D011237:Predictive Value of Tests; D011379:Prognosis; D016016:Proportional Hazards Models; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D012720:Severity of Illness Index; D013557:Switzerland / Q000453:epidemiology; D014057:Tomography, X-Ray Computed