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Background It is not known how the volume and composition of individual coronary plaques change over time in HIV-infected people and whether statins influence these changes. Methods We included forty adults with HIV and subclinical coronary atherosclerosis who participated in a randomized controlled trial of placebo vs. atorvastatin. All participants underwent serial coronary computed tomography angiography at baseline and after one year. Individual coronary plaques were measured to assess the within-patient variability of plaque volume and composition changes. Left-main, proximal-right, proximal-left-anterior descending, and proximal-circumflex coronary segments were considered proximal. Plaque voxels with attenuation ≤130 Hounsfield Units (HU) were defined as noncalcified and further divided into fatty ( Results In 37 patients who completed the trial, there were 92 coronary plaques. Individual plaque changes varied highly, with some plaques increasing while others decreased in the same patient. Overall, 77% vs. 51% of individual plaques progressed, while 24% vs. 49% regressed in placebo and statin, respectively (p = 0.016). Substantial increases in proximal plaques drove the progression in placebo. Statins suppressed these large increases, resulting in a 3-fold lower variance in plaque volume change compared to placebo (p = 0.025). Statins suppressed progression of fibrotic (p = 0.015) plaque, with a trend towards reducing fatty (p = 0.075) plaque and no significant effect on the calcified portion (p = 0.203). Conclusion In persons with HIV, a population with increased atherosclerosis burden and cardiovascular risk, individual coronary plaque changes vary within a given individual. Large increases in proximal plaques characterize progression, and statins act in part by stabilizing progressing plaques by reducing fatty and fibrotic plaque components, without influencing the calcified portion.

Pretest probability (PTP) calculators utilize epidemiological-level findings to provide patient-level risk assessment of obstructive coronary artery disease (CAD). However, their limited accuracies question whether dissimilarities in risk factors necessarily result in differences in CAD. Using patient similarity network (PSN) analyses, we wished to assess the accuracy of risk factors and imaging markers to identify ≥50% luminal narrowing on coronary CT angiography (CCTA) in stable chest-pain patients.We created four PSNs representing: patient characteristics, risk factors, non-coronary imaging markers and calcium score. We used spectral clustering to group individuals with similar risk profiles. We compared PSNs to a contemporary PTP score incorporating calcium score and risk factors to identify ≥50% luminal narrowing on CCTA in the CT-arm of the PROMISE trial. We also conducted subanalyses in different age and sex groups.In 3556 individuals, the calcium score PSN significantly outperformed patient characteristic, risk factor, and non-coronary imaging marker PSNs (AUC: 0.81 vs. 0.57, 0.55, 0.54; respectively, p ​ ​0.001 for all). The calcium score PSN significantly outperformed the contemporary PTP score (AUC: 0.81 vs. 0.78, p ​ ​0.001), and using 0, 1-100 and ​ ​100 cut-offs provided comparable results (AUC: 0.81 vs. 0.81, p ​= ​0.06). Similar results were found in all subanalyses.Calcium score on its own provides better individualized obstructive CAD prediction than contemporary PTP scores incorporating calcium score and risk factors. Risk factors may not be able to improve the diagnostic accuracy of calcium score to predict ≥50% luminal narrowing on CCTA.

Background Computed tomography (CT)-based fat and muscle measures are associated with outcome in large populations. We tested if muscle and fat characteristics are associated with long-term outcomes after TAVR. Methods We included 403 clinical CTs performed prior to TAVR at our center between 2008 and 2016, measuring area (cm2) and density (Hounsfield units, HU) of both psoas muscles (PM), subcutaneous adipose (SAT), and visceral adipose tissue (VAT). Area measures were indexed to height, log-transformed and both area and density were standardized for analysis. We assessed the association of each measure with all-cause mortality (adjusted for age, sex, body mass index (BMI), and the Society of Thoracic Surgeons (STS) risk score. Results Of the 403 individuals (83 ± 8 years; 52% female), 167 (41.4%) died during a median follow-up of 458 days (interquartile range IQR 297–840). Fat measures were feasible and rapid. Fat area was available in 242 (60%) patients with an adequate field of view. Individuals with the lowest PM area, SAT area or VAT area exhibited the highest hazard of mortality. In addition, greater SAT density was associated with a higher mortality hazard (adjusted HR per standard deviation increase in density = 1.35, 95%CI 1.10–1.67, P = 0.005). Conclusion Rapid CT-based tissue characterization is feasible in patients referred for TAVR. Decreased PM area and increased SAT density are associated with long-term mortality after TAVR, even after accounting for age, sex, BMI, and STS score. Further studies are necessary to interrogate sex-specific relationships between CT tissue metrics and mortality and whether CT measures are incremental to well-established frailty metrics.