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The coronary atheroma burden drives major adverse cardiovascular events (MACE) in patients with suspected coronary heart disease (CHD). However, a consensus on how to grade disease burden for effective risk stratification is lacking. The purpose of this study was to compare the effectiveness of common CHD grading tools to risk stratify symptomatic patients. We analyzed the 5-year outcome of 381 prospectively enrolled patients in the CORE320 international, multicenter study using baseline clinical and cardiac computer-tomography (CT) imaging characteristics, including coronary artery calcium score (CACS), percent atheroma volume, "high-risk" plaque, disease severity grading using the CAD-RADS, and two simplified CAD staging systems. We applied Cox proportional hazard models and area under the curve (AUC) analysis to predict MACE or hard MACE, defined as death, myocardial infarction, or stroke. Analyses were stratified by a history of CHD. Additional forward selection analysis was performed to evaluate incremental value of metrics. Clinical characteristics were the strongest predictors of MACE in the overall cohort. In patients without history of CHD, CACS remained the only independent predictor of MACE yielding an AUC of 73 (CI 67–79) vs. 64 (CI 57–70) for clinical characteristics. Noncalcified plaque volume did not add prognostic value. Simple CHD grading schemes yielded similar risk stratification as the CAD-RADS classification. Forward selection analysis confirmed prominent role of CACS and revealed usefulness of functional testing in subgroup with known CHD. In patients referred for invasive angiography, a history of CHD was the strongest predictor of MACE. In patients without history of CHD, a coronary calcium score yielded at least equal risk stratification vs. more complex CHD grading. • Risk factors and plaque metrics perform differently among patients with and without history of CHD. • Plaque burden assessment does not offer incremental value over clinical predictors in patients with known CHD. • CACS provides superior performance to risk stratify patients without history of CHD. • In symptomatic patients, risk stratification using CACS might deserve a more prominent role. [ABSTRACT FROM AUTHOR]

Inflammation surrounding the coronary arteries can be non-invasively assessed using pericoronary adipose tissue attenuation (PCAT). While PCAT holds promise for further risk stratification of patients with low coronary artery disease (CAD) prevalence, its value in higher risk populations remains unknown. CORE320 enrolled patients referred for invasive coronary angiography with known or suspected CAD. Coronary computed tomography angiography (CCTA) images were collected for 381 patients for whom clinical outcomes were assessed 5 years after enrollment. Using semi-automated image analysis software, PCAT was obtained and normalized for the right coronary (RCA), left anterior descending (LAD), and left circumflex arteries (LCx). The association between PCAT and major adverse cardiovascular events (MACE) during follow up was assessed using Cox regression models. Thirty-seven patients were excluded due to technical failure. For the remaining 344 patients, median age was 62 (interquartile range, 55–68) with 59% having ≥1 coronary artery stenosis of ≥50% by quantitative coronary angiography. Mean attenuation values for PCAT in RCA, LAD, and LCx were −74.9, −74.2, and −71.2, respectively. Hazard ratios and 95% confidence intervals (CI) for normalized PCAT in the RCA, LAD, and LCx for MACE were 0.96 (CI: 0.75–1.22, p ​= ​0.71), 1.31 (95% CI: 0.96–1.78, p ​= ​0.09), and 0.98 (95% CI: 0.78–1.22, p ​= ​0.84), respectively. For death, stroke, or myocardial infarction only, hazard ratios were 0.68 (0.44–1.07), 0.85 (0.56–1.29), and 0.57 (0.41–0.80), respectively. In patients referred for invasive coronary angiography with suspected CAD, PCAT did not predict MACE during long term follow up. Further studies are needed to understand the relationship of PCAT with CAD risk. [ABSTRACT FROM AUTHOR]

Aims To determine the diagnostic accuracy of semi-automatic quantitative metrics compared to expert reading for interpretation of computed tomography perfusion (CTP) imaging. Methods The CORE320 multicenter diagnostic accuracy clinical study enrolled patients between 45 and 85 years of age who were clinically referred for invasive coronary angiography (ICA). Computed tomography angiography (CTA), CTP, single photon emission computed tomography (SPECT), and ICA images were interpreted manually in blinded core laboratories by two experienced readers. Additionally, eight quantitative CTP metrics as continuous values were computed semi-automatically from myocardial and blood attenuation and were combined using logistic regression to derive a final quantitative CTP metric score. For the reference standard, hemodynamically significant coronary artery disease (CAD) was defined as a quantitative ICA stenosis of 50% or greater and a corresponding perfusion defect by SPECT. Diagnostic accuracy was determined by area under the receiver operating characteristic curve (AUC). Results Of the total 377 included patients, 66% were male, median age was 62 (IQR: 56, 68) years, and 27% had prior myocardial infarction. In patient based analysis, the AUC (95% CI) for combined CTA-CTP expert reading and combined CTA-CTP semi-automatic quantitative metrics was 0.87(0.84–0.91) and 0.86 (0.83–0.9), respectively. In vessel based analyses the AUC's were 0.85 (0.82–0.88) and 0.84 (0.81–0.87), respectively. No significant difference in AUC was found between combined CTA-CTP expert reading and CTA-CTP semi-automatic quantitative metrics in patient based or vessel based analyses(p > 0.05 for all). Conclusion Combined CTA-CTP semi-automatic quantitative metrics is as accurate as CTA-CTP expert reading to detect hemodynamically significant CAD. [ABSTRACT FROM AUTHOR]

Background Total atherosclerotic plaque burden assessment by CT angiography (CTA) is a promising tool for diagnosis and prognosis of coronary artery disease (CAD) but its validation is restricted to small clinical studies. We tested the feasibility of semi-automatically derived coronary atheroma burden assessment for identifying patients with hemodynamically significant CAD in a large cohort of patients with heterogenous characteristics. Methods This study focused on the CTA component of the CORE320 study population. A semi-automated contour detection algorithm quantified total coronary atheroma volume defined as the difference between vessel and lumen volume. Percent atheroma volume (PAV = [total atheroma volume/total vessel volume] × 100) was the primary metric for assessment (n = 374). The area under the receiver operating characteristic curve (AUC) determined the diagnostic accuracy for identifying patients with hemodynamically significant CAD defined as ≥50% stenosis by quantitative coronary angiography and associated myocardial perfusion abnormality by SPECT. Results Of 374 patients, 139 (37%) had hemodynamically significant CAD. The AUC for PAV was 0.78 (95% confidence interval [CI] 0.73–0.83) compared with 0.84 [0.79–0.88] by standard expert CTA interpretation (p = 0.02). Accuracy for both CTA (0.91 [0.87, 0.96]) and PAV (0.86 [0.81–0.91]) increased after excluding patients with history of CAD (p < 0.01 for both). Bland-Altman analysis revealed good agreement between two observers (bias of 280.2 mm 3 [161.8, 398.7]). Conclusions A semi-automatically derived index of total coronary atheroma volume yields good accuracy for identifying patients with hemodynamically significant CAD, though marginally inferior to CTA expert reading. These results convey promise for rapid, reliable evaluation of clinically relevant CAD. [ABSTRACT FROM AUTHOR]

Background The combination of coronary CT angiography (CTA) and myocardial CT perfusion (CTP) is gaining increasing acceptance, but a standardized approach to be implemented in the clinical setting is necessary. Objectives To investigate the accuracy of a combined coronary CTA and myocardial CTP comprehensive protocol compared to coronary CTA alone, using a combination of invasive coronary angiography and single photon emission CT as reference. Methods Three hundred eighty-one patients included in the CORE320 trial were analyzed in this study. Flow-limiting stenosis was defined as the presence of ≥50% stenosis by invasive coronary angiography with a related perfusion defect by single photon emission CT. The combined CTA + CTP definition of disease was the presence of a ≥50% stenosis with a related perfusion defect. All data sets were analyzed by 2 experienced readers, aligning anatomic findings by CTA with perfusion defects by CTP. Results Mean patient age was 62 ± 6 years (66% male), 27% with prior history of myocardial infarction. In a per-patient analysis, sensitivity for CTA alone was 93%, specificity was 54%, positive predictive value was 55%, negative predictive value was 93%, and overall accuracy was 69%. After combining CTA and CTP, sensitivity was 78%, specificity was 73%, negative predictive value was 64%, positive predictive value was 0.85%, and overall accuracy was 75%. In a per-vessel analysis, overall accuracy of CTA alone was 73% compared to 79% for the combination of CTA and CTP ( P < .0001 for difference). Conclusions Combining coronary CTA and myocardial CTP findings through a comprehensive protocol is feasible. Although sensitivity is lower, specificity and overall accuracy are higher than assessment by coronary CTA when compared against a reference standard of stenosis with an associated perfusion defect. [ABSTRACT FROM AUTHOR]

Chronic kidney disease (CKD) in childhood is associated with neurocognitive deficits. Affected children show worse performance on tests of intelligence than their unaffected siblings and skew toward the lower end of the normal range. Here we further assessed this association in 340 pediatric patients (ages 6-21) with mild-moderate CKD in the Chronic Kidney Disease in Childhood cohort from 48 pediatric centers in North America. Participants underwent a battery of age-appropriate tests including Conners' Continuous Performance Test-II (CPT-II), Delis-Kaplan Executive Function System Tower task, and the Digit Span Backward task from the age-appropriate Wechsler Intelligence Scale. Test performance was compared across the range of estimated glomerular filtration rate and duration of CKD with relevant covariates including maternal education, household income, IQ, blood pressure, and preterm birth. Among the 340 patients, 35% had poor performance (below the mean by 1.5 or more standard deviations) on at least one test of executive function. By univariate nonparametric comparison and multiple logistic regression, longer duration of CKD was associated with increased odds ratio for poor performance on the CPT-II Errors of Commission, a test of attention regulation and inhibitory control. Thus, in a population with mild-to-moderate CKD, the duration of disease rather than estimated glomerular filtration rate was associated with impaired attention regulation and inhibitory control. [ABSTRACT FROM AUTHOR]

Objective: To identify factors contributing to cognitive impairment in children with lupus nephritis.Study Design: A cross-sectional analysis of a large multicenter national cohort of children with chronic kidney disease (CKD) using standardized measures to determine baseline neuropsychiatric function and health-related quality of life (HRQoL) in children with lupus nephritis (n = 34), and to compare baseline function with that in children with other forms of glomerular CKD (gCKD; n = 171). We used inverse probability weighting via a logistic model for propensity score analysis to achieve balance between children with lupus nephritis and those with other glomerular causes of CKD, adjusting for known confounders. We used linear regression models to compare neurocognitive outcomes between exposure groups, adjusting for current prednisone use and testing for an interaction between current prednisone use and lupus nephritis, and to test for an association between cognitive function and HRQoL.Results: Current prednisone use was independently associated with worse attention (P < .01) and better adaptive skills (P = .04), and there was a significant interaction between current prednisone use and lupus nephritis for internalizing problems, with worse parent-reported internalizing problems in children with lupus nephritis on prednisone (P = .047). Better parent-reported HRQoL was associated with better visual memory (P = .01), and better child-reported HRQoL was associated with better attention (P < .01) and inhibitory control (P < .01). Both parent and child HRQoL were associated with better measures of executive function (P = .02 and < .001, respectively).Conclusion: Children with lupus nephritis have comparable or better cognitive function than their peers with other gCKDs, which is reassuring given the multiorgan and lifelong complications associated with lupus. [ABSTRACT FROM AUTHOR]

Objective: To assess depression in children with chronic kidney disease and to determine associations with patient characteristics, intellectual and educational levels, and health-related quality of life (HRQoL).Study Design: Subjects aged 6-17 years from the Chronic Kidney Disease in Children cohort study completed the Children's Depression Inventory (CDI), Wechsler Abbreviated Scales of Intelligence, Wechsler Individual Achievement Test-II-Abbreviated, and the Pediatric Inventory of Quality of Life Core Scales 4.0. Regression analyses determined associations of CDI score and depression status with subject characteristics, intellectual and educational levels, and HRQoL. A joint linear mixed model and Weibull model were used to determine the effects of CDI score on longitudinal changes in glomerular filtration rate and time to renal replacement therapy.Results: A total of 344 subjects completed the CDI. Eighteen (5%) had elevated depressive symptoms, and another 7 (2%) were being treated for depression. In adjusted analyses, maternal education beyond high school was associated with 5% lower CDI scores (estimate, 0.95; 95% CI, 0.92-0.99). Depression status was associated with lower IQ (99 vs 88; P = .053), lower achievement (95 vs 77.5; P < .05), and lower HRQoL by parent and child reports (effect estimates, -15.48; 95% CI, -28.71 to -2.24 and -18.39; 95% CI, -27.81 to -8.96, respectively). CDI score was not related to change in glomerular filtration rate.Conclusion: Children with depression had lower psychoeducational skills and worse HRQoL. Identifying and treating depression should be evaluated as a means of improving the academic performance and HRQoL of children with chronic kidney disease. [ABSTRACT FROM AUTHOR]