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For patients presenting with non–ST-segment elevation acute coronary syndrome (NSTEACS), large-scale studies have been unable to show effect of an early invasive strategy in an all-comers populations, and the search for subgroups in whom an early invasive strategy could be advantageous remains an important challenge.1,2 Previous studies have shown benefit of an early invasive strategy in patients at high risk according to the GRACE (Global Registry of Acute Coronary Events) risk score >140.1,2 In addition, early coronary computed tomographic angiography (CTA) may be used not only to rule out coronary artery disease, but also to stratify patients with NSTEACS into high risk categories due to the extent of obstructive coronary artery disease who may benefit from early revascularization.3,4 As a prespecified observational component of the VERDICT (Very Early Versus Deferred Invasive Evaluation Using Computerized Tomography in Patients With Acute Coronary Syndromes) trial, coronary CTA blinded for the treating physicians was conducted before invasive coronary angiography. We tested the hypotheses that in patients with NSTEACS: 1) the extent of coronary pathology according to coronary CTA identifies patients at risk of adverse outcome independently from GRACE score; and 2) coronary CTA may identify patients in whom a very early invasive strategy is associated with improved clinical outcome.

The detection and treatment of pain is hampered by cognitive disorders. In this review we discuss the epidemiology of pain in cognitive disorders, and elaborate further on the current state of the art on pain in these populations. We will specifically highlight current gaps and recommendations for the future for the following knowledge domains: 1) Biology and neuropathology, 2) Assessment and evaluation, 3) Treatment and management, and 4) Contextual factors such as the organization and education. We identify the following knowledge gaps: 1) (Biology): Do pain experience and pain expressions change in different types of cognitive disorders, and how? 2) (Assessment): How to recognize, evaluate and assess pain, in case the self-report of pain is no longer reliable? 3) (Treatment): Which treatment possibilities are effective? How can we organize this in an interdisciplinary way? And how to monitor this? How can we ensure proper implementation of pain assessment and treatment in clinical practice? Specifically with regard to non-pharmacological treatment, how can we communicate observations from different disciplines, family members and clinicians to improve the detection of pain as well as treatment monitoring/evaluation? 4) (Contextual): How can we increase knowledge and skills on pain in cognitive impairment within educational training?.

AIMS: Accurate assessment of aortic dimensions can be achieved using contrast-enhanced computed tomography. The aim of this study was to define normal values and determinants of aortic dimensions throughout multiple key anatomical landmarks of the aorta in healthy individuals from the Copenhagen General Population Study.METHODS AND RESULTS: The study group consisted of 902 healthy subjects selected from 3000 adults undergoing cardiovascular thoracic and abdominal computed tomography-angiography (CTA), where systematic measurements of aortic dimensions were performed retrospectively. Individuals included were without any of the following predefined cardiovascular risk factors: (i) self-reported angina pectoris; (ii) hypertension; (iii) hypercholesterolaemia; (iv) taking cardiovascular prescribed medication including diuretics, statins, or aspirin; (v) overweight (defined as body mass index ≥30 kg/m2); (vi) diabetes mellitus (self-reported or blood glucose >8 mmol/L); and (vii) chronic obstructive pulmonary disease. Maximal aortic diameters were measured at seven aortic regions: sinuses of Valsalva, sinotubular junction, ascending aorta, mid-descending aorta, abdominal aorta at the diaphragm, abdominal aorta at the coeliac trunk, and infrarenal abdominal aorta. Median age was 52 years, and 396 (40%) were men. Men had significantly larger aortic diameters at all levels compared with women (P < 0.001). Multivariable analysis revealed that sex, age, and body surface area were associated with increasing aortic dimensions.CONCLUSION: Normal values of maximal aortic dimensions at key aortic anatomical locations by contrast-enhanced CTA have been defined. Age, sex, and body surface area were significantly associated with these measures at all levels of aorta. Aortic dimensions follow an almost identical pattern throughout the vessel regardless of sex.

PURPOSE: Quantitative computed tomography (QCT) provides important prognostic information of coronary atherosclerosis. We investigated intraobserver and interobserver QCT reproducibility in asymptomatic individuals, patients with acute chest pain without acute coronary syndrome (ACS), and patients with acute chest pain and ACS.METHODS: Fifty patients from each cohort, scanned between 01/02/2010-14/11/2013 and matched according to age and gender, were retrospectively assessed for inclusion. Patients with no coronary artery disease, previous coronary artery bypass graft surgery, and poor image quality were excluded. Coronary atherosclerosis was measured semi-automatically by 2 readers. Reproducibility of minimal lumen area (MLA), minimal lumen diameter (MLD), area stenosis, diameter stenosis, vessel remodeling, plaque eccentricity, plaque burden, and plaque volumes was assessed using concordance correlation coefficient (CCC), Bland-Altman, coefficient of variation, and Cohen's kappa.RESULTS: A total of 84 patients (63 matched) were included. Intraobserver and interobserver reproducibility estimates were acceptable for MLA (CCC = 0.94 and CCC = 0.91, respectively), MLD (CCC = 0.92 and CCC = 0.86, respectively), plaque burden (CCC = 0.86 and CCC = 0.80, respectively), and plaque volume (CCC = 0.97 and CCC = 0.95, respectively). QCT detected area and diameter stenosis ≥50%, positive remodeling, and eccentric plaque with moderate-good intraobserver and interobserver reproducibility (kappa: 0.64-0.66, 0.69-0.76, 0.46-0.48, and 0.41-0.62, respectively). Reproducibility of plaque composition decreased with decreasing plaque density (intraobserver and interobserver CCC for dense calcium (>0.99; 0.98), fibrotic (0.96; 0.93), fibro-fatty (0.95; 0.91), and necrotic core tissue (0.89; 0.84). Reproducibility generally decreased with worsening clinical risk profile.CONCLUSIONS: Semi-automated QCT of coronary plaque morphology is reproducible, albeit with