Impact of intravenous access site on attenuation for thoracic computed tomographic angiography: A time-matched, nested, case-control study.

BACKGROUND: The objective of this study was to evaluate whether the choice of intravenous access (IVA) site affects aortic attenuation during thoracic computed tomographic angiography (T-CTA) and any associated risks with intravenous device placement. METHODS: All T-CTA exams performed between 1/1/2013 and 8/14/2015 were retrospectively reviewed to identify those performed with contrast media injection via alternative (i.e. non-antecubital) IVA (n = 1769). Using time matching, antecubital IVA exams (n = 1769) were selected as controls. For each exam, attenuation was measured in the ascending aorta. Patient and technical data was subsequently collected from all 3538 patients included in this study. Multiple linear regression was used to determine if IVA site affected attenuation. Lastly, data related to extravasations for the entire T-CTA cohort were collected and compared. RESULTS: Hand/wrist, arm, and central venous access device IVA were all equivalent to antecubital IVA in terms of attenuation (P = 0.579, P = 0.599, and P = 0.522 respectively). Forearm and intraosseous IVA had significantly higher attenuation (P = 0.010 and P = 0.002, respectively) than antecubital IVA. Right-sided IVA was associated with a small attenuation increase of 11 Hounsfield Units (P < 0.001) compared to left-sided IVA. In terms of extravasation, antecubital IVA was equivalent to hand/wrist, forearm, and upper arm IVA (P = 0.778, P = 0.060, and P = 0.090 respectively). CONCLUSIONS: Satisfactory aortic attenuation achieved with non-antecubital IVA is equivalent to attenuation achieved with antecubital IVA for T-CTA imaging. The risk of contrast media extravasation in peripheral IVA devices was relatively low, however, appropriate IVA site selection should be considered an important factor for successful administration of contrast media for future imaging studies. This prevents undue harm to patients through preventable device failures when using a peripheral IV device in areas of high flexion/range of movements undergoing pressure injection for contrast media.

A Comparison of Methods for Predicting Future Cognitive Status: Mixture Modeling, Latent Class Analysis, and Competitors.

PURPOSE: The present work compares various methods for using baseline cognitive performance data to predict eventual cognitive status of longitudinal study participants at the University of Kentucky's Alzheimer's Disease Center. METHODS: Cox proportional hazards models examined time to cognitive transition as predicted by risk strata derived from normal mixture modeling, latent class analysis, and a 1-SD thresholding approach. An additional comparator involved prediction directly from a numeric value for baseline cognitive performance. RESULTS: A normal mixture model suggested 3 risk strata based on Consortium to Establish a Registry for Alzheimer's Disease (CERAD) T scores: high, intermediate, and low risk. Cox modeling of time to cognitive decline based on posterior probabilities for risk stratum membership yielded an estimated hazard ratio of 4.00 with 95% confidence interval 1.53-10.44 in comparing high risk membership to low risk; for intermediate risk membership versus low risk, the modeling yielded hazard ratio=2.29 and 95% confidence interval=0.98-5.33. Latent class analysis produced 3 groups, which did not have a clear ordering in terms of risk; however, one group exhibited appreciably greater hazard of cognitive decline. All methods for generating predictors of cognitive transition yielded statistically significant likelihood ratio statistics but modest concordance statistics. CONCLUSION: Posterior probabilities from mixture modeling allow for risk stratification that is data-driven and, in the case of CERAD T scores, modestly predictive of later cognitive decline. Incorporating other covariates may enhance predictions.

The use of intraosseous needles for injection of contrast media for computed tomographic angiography of the thoracic aorta.

BACKGROUND: The objective of this study is to evaluate the safety and quality of computed tomographic angiography of the thoracic aorta (CTA-TA) exams performed using intraosseous needle intravenous access (ION-IVA) for contrast media injection (CMI). METHODS: All CTA-TA exams at the study institution performed between 1/1/2013 and 8/14/2015 were reviewed retrospectively to identify those exams which had been performed using ION-IVA (ION-exams). ION-exams were then analyzed to determine aortic attenuation and contrast-to-noise ratio (CNR). Linear regression was used to determine how injection rate and other variables affected image quality for ION-exams. Patient electronic medical records were reviewed to identify any adverse events related to CTA-TA or ION-IVA. RESULTS: 17 (∼0.2%) of 7401 exams were ION-exams. ION-exam CMI rates varied between 2.5 and 4 ml/s. Mean attenuation was 312 HU (SD 88 HU) and mean CNR was 25 (SD 9.9). A strong positive linear association between attenuation and injection rate was found. No immediate or delayed complications related to the ION-exams, or intraosseous needle use in general, occurred. CONCLUSION: For CTA-TA, ION-IVA appears to be a safe and effective route for CMI at rates up to 4 ml/s.

Risk factors and global cognitive status related to brain arteriolosclerosis in elderly individuals.

Risk factors and cognitive sequelae of brain arteriolosclerosis pathology are not fully understood. To address this, we used multimodal data from the National Alzheimer's Coordinating Center and Alzheimer's Disease Neuroimaging Initiative data sets. Previous studies showed evidence of distinct neurodegenerative disease outcomes and clinical-pathological correlations in the "oldest-old" compared to younger cohorts. Therefore, using the National Alzheimer's Coordinating Center data set, we analyzed clinical and neuropathological data from two groups according to ages at death: < 80 years (n = 1008) and ≥80 years (n = 1382). In both age groups, severe brain arteriolosclerosis was associated with worse performances on global cognition tests. Hypertension (but not diabetes) was a brain arteriolosclerosis risk factor in the younger group. In the ≥ 80 years age at death group, an ABCC9 gene variant (rs704180), previously associated with aging-related hippocampal sclerosis, was also associated with brain arteriolosclerosis. A post-hoc arterial spin labeling neuroimaging experiment indicated that ABCC9 genotype is associated with cerebral blood flow impairment; in a convenience sample from Alzheimer's Disease Neuroimaging Initiative (n = 15, homozygous individuals), non-risk genotype carriers showed higher global cerebral blood flow compared to risk genotype carriers. We conclude that brain arteriolosclerosis is associated with altered cognitive status and a novel vascular genetic risk factor.