Impact of pulmonary artery flow distribution on Fontan hemodynamics and flow energetics.

BACKGROUND: With improved life expectancy following Fontan palliation, there is an increasing population of patients with a total cavopulmonary connection. However, there is a poor understanding of which patients will experience Fontan failure and when. 4D flow MRI has identified several metrics of clinical interest, but longitudinal studies investigating hemodynamics in Fontan patients are lacking. OBJECTIVE: We aimed to investigate the relationship between flow distribution to the pulmonary arteries and regional hemodynamic metrics in a unique cohort with follow-up 4D flow MRI. MATERIALS AND METHODS: Patients with > 6 months of 4D flow MRI follow-up were included. Flow distribution from the caval veins to pulmonary arteries was measured in addition to regional measures of peak velocity, viscous energy loss (ELmean and ELtot), and kinetic energy. RESULTS: Ten patients with total cavopulmonary connection (17.7 ± 8.8 years at baseline, follow-up: 4.4 ± 2.6 years) were included. Five subjects had unequal flow distribution from the IVC to the pulmonary arteries at baseline. Over time, these subjects tended to have larger increases in peak velocity (39.2% vs 6.6%), ELmean (11.6% vs -38.3%), ELtot (9.5% vs -36.2%), and kinetic energy (96.1% vs 36.3%) in the IVC. However, these differences were statistically insignificant. We found that changes in ELmean and ELtot were significantly associated with changes in peak velocity in the caval veins (R2 > 0.5, P < 0.001). CONCLUSION: Unequal flow distribution from the IVC may drive increasing peak velocities and viscous energy losses, which have been associated with worse clinical outcomes. Changes in peak velocity may serve as a surrogate measure for changes in viscous energy loss.

Highly accelerated compressed sensing 4D flow MRI in congenital and acquired heart disease: comparison of aorta and main pulmonary artery flow parameters with conventional 4D flow MRI in children and young adults.

BACKGROUND: Four-dimensional flow (4D flow) MRI has become a clinically utilized cardiovascular flow assessment tool. However, scans can be lengthy and may require anesthesia in younger children. Adding compressed sensing can decrease scan time, but its impact on hemodynamic data accuracy needs additional assessment. OBJECTIVE: To compare 4D flow hemodynamics acquired with and without compressed sensing. MATERIALS AND METHODS: Twenty-seven patients (median age: 13 [IQR: 9.5] years) underwent conventional and compressed sensing cardiovascular 4D flow following informed consent. Conventional 4D flow was performed using parallel imaging and an acceleration factor of 2. Compressed sensing 4D flow was performed with an acceleration factor of 7.7. Regions of interest were placed to compare flow parameters in the ascending aorta and main pulmonary artery. Paired Student's t-tests, Wilcoxon signed-rank tests, Bland-Altman plots, and intraclass correlation coefficients were conducted. A P-value of < 0.05 was considered statistically significant. RESULTS: Mean scan acquisition time was reduced by 59% using compressed sensing (3.4 vs. 8.2 min, P < 0.001). Flow quantification was similar for compressed sensing and conventional 4D flow for the ascending aorta net flow: 47 vs. 49 ml/beat (P = 0.28); forward flow: 49 vs. 50 ml/beat (P = 0.07), and main pulmonary artery net flow: 49 vs. 51 ml/beat (P = 0.18); forward flow: 50 vs. 55 ml/beat (P = 0.07). Peak systolic velocity was significantly underestimated by compressed sensing 4D flow in the ascending aorta: 114 vs. 128 cm/s (P < 0.001) and main pulmonary artery: 106 vs. 112 cm/s (P = 0.02). CONCLUSION: For both the aorta and main pulmonary artery, compressed sensing 4D flow provided equivalent net and forward flow values compared to conventional 4D flow but underestimated peak systolic velocity. By reducing scan time, compressed sensing 4D flow may decrease the need for anesthesia and increase scanner output without significantly compromising data integrity.

White matter microstructural integrity and executive function in Parkinson's disease.

Recent studies suggest that white matter abnormalities contribute to both motor and non-motor symptoms of Parkinson's disease. The present study was designed to investigate the degree to which diffusion tensor magnetic resonance imaging (DTI) indices are related to executive function in Parkinson's patients. We used tract-based spatial statistics to compare DTI data from 15 patients to 15 healthy, age- and education-matched controls. We then extracted mean values of fractional anisotropy (FA) and mean diffusivity (MD) within an a priori frontal mask. Executive function composite Z scores were regressed against these DTI indices, age, and total intracranial volume. In Parkinson's patients, FA was related to executive composite scores, and both indices were related to Stroop interference scores. We conclude that white matter microstructural abnormalities contribute to cognitive deficits in Parkinson's disease. Further work is needed to determine whether these white matter changes reflect the pathological process or a clinically important comorbidity.

A Deep Learning Approach to Using Wearable Seismocardiography (SCG) for Diagnosing Aortic Valve Stenosis and Predicting Aortic Hemodynamics Obtained by 4D Flow MRI.

In this paper, we explored the use of deep learning for the prediction of aortic flow metrics obtained using 4-dimensional (4D) flow magnetic resonance imaging (MRI) using wearable seismocardiography (SCG) devices. 4D flow MRI provides a comprehensive assessment of cardiovascular hemodynamics, but it is costly and time-consuming. We hypothesized that deep learning could be used to identify pathological changes in blood flow, such as elevated peak systolic velocity ([Formula: see text]) in patients with heart valve diseases, from SCG signals. We also investigated the ability of this deep learning technique to differentiate between patients diagnosed with aortic valve stenosis (AS), non-AS patients with a bicuspid aortic valve (BAV), non-AS patients with a mechanical aortic valve (MAV), and healthy subjects with a normal tricuspid aortic valve (TAV). In a study of 77 subjects who underwent same-day 4D flow MRI and SCG, we found that the [Formula: see text] values obtained using deep learning and SCGs were in good agreement with those obtained by 4D flow MRI. Additionally, subjects with non-AS TAV, non-AS BAV, non-AS MAV, and AS could be classified with ROC-AUC (area under the receiver operating characteristic curves) values of 92%, 95%, 81%, and 83%, respectively. This suggests that SCG obtained using low-cost wearable electronics may be used as a supplement to 4D flow MRI exams or as a screening tool for aortic valve disease.

Longitudinal volumetric changes following traumatic brain injury: a tensor-based morphometry study.

After traumatic injury, the brain undergoes a prolonged period of degenerative change that is paradoxically accompanied by cognitive recovery. The spatiotemporal pattern of atrophy and the specific relationships of atrophy to cognitive changes are ill understood. The present study used tensor-based morphometry and neuropsychological testing to examine brain volume loss in 17 traumatic brain injury (TBI) patients and 13 controls over a 4-year period. Patients were scanned at 2 months, 1 year, and 4 years post-injury. High-dimensional warping procedures were used to create change maps of each subject's brain for each of the two intervals. TBI patients experienced volume loss in both cortical areas and white matter regions during the first interval. We also observed continuing volume loss in extensive regions of white matter during the second interval. Neuropsychological correlations indicated that cognitive tasks were associated with subsequent volume loss in task-relevant regions. The extensive volume loss in brain white matter observed well beyond the first year post-injury suggests that the injured brain remains malleable for an extended period, and the neuropsychological relationships suggest that this volume loss may be associated with subtle cognitive improvements.

Does the Degree of Platelet Adenosine Diphosphate and Arachidonic Acid Receptor Inhibition Correlate With the Severity of Injury in Non-Brain-Injured Trauma Patients?

BACKGROUND: Direct correlations between platelet adenosine diphosphate (ADP) and arachidonic acid (AA) receptor inhibition have been described in the traumatic brain injury (TBI) population. Our goal was to evaluate the percent inhibition of ADP receptor inhibition (ADPri) and AA receptor inhibition (AAri) receptors in non-TBI patients and correlate injury severity and outcomes. METHODS: We performed a retrospective review of non-TBI patients admitted to our trauma center, who received thromboelastography with platelet mapping prior to blood transfusion. Exclusion criteria included patients younger than 18 years, current antiplatelet therapy, or history of renal failure. Univariate descriptive statistics and bivariate comparisons were performed on patient demographic and outcomes. Multivariable linear regression models were constructed to quantify any association between ADPri and AAri with injury outcomes. High ADP inhibition was defined >20% and high AA inhibition >7%. RESULTS: 117 patients met inclusion criteria. Mean age was 53 years with 61% male. Mean ADPri was 64% and AAri 42%. On bivariate analysis, no statistically significant differences with respect to injury severity measures or outcomes were identified. On multivariable linear regression, AAri was associated with longer hospital length of stay. DISCUSSION: There was a high degree of platelet dysfunction in this cohort of severely injured patients without TBI. Despite this, the only correlation identified between injury severity and outcomes was AAri correlating with hospital length of stay. Irrespective of injury severity or outcomes, these patients' results were far from reported "normal" values. Further, research is needed to determine the significance and clinical implications of thromboelastography with platelet mapping use in trauma care.

White matter is altered with parental family history of Alzheimer's disease.

BACKGROUND: Brain alterations in structure and function have been identified in people with risk factors for sporadic type Alzheimer's disease (AD), suggesting that alterations can be detected decades before AD diagnosis. Although the effect of apolipoprotein E (APOE) varepsilon4 on the brain is well-studied, less is known about the effect of family history of AD. We examined the main effects of family history and APOE varepsilon4 on brain integrity, in addition to assessing possible additive effects of these two risk factors. METHODS: Diffusion tensor imaging was performed in 136 middle-aged asymptomatic participants stratified on family history and APOE varepsilon4. Mean diffusivity and fractional anisotropy (FA) were entered in factorial analyses to test the effect of AD risk on microstructural brain integrity. We performed a post hoc analysis of the three principal diffusivities (lambda1, lambda2, lambda3) to provide potential additional insight on underlying tissue differences. RESULTS: Parental family history of AD was associated with lower FA in regions of the brain known to be affected by AD, including cingulum, corpus callosum, tapetum, uncinate fasciculus, hippocampus, and adjacent white matter. Contrary to previous reports, there was no main effect of APOE varepsilon4; however, there was an additive effect of family history and APOE varepsilon4 in which family history-positive participants who were also APOE varepsilon4 carriers had the lowest FA compared with the other groups. CONCLUSIONS: The data indicate that unknown risk factors contained in family history are associated with changes in microstructural brain integrity in areas of the brain known to be affected by AD. Importantly, the results provide further evidence that AD pathology might be detected before cognitive changes, perhaps decades before disease onset.

Post-Discharge Needs of Victims of Gun Violence in Chicago: A Qualitative Study.

The purpose of this study was to understand the post-discharge needs of violently injured patients and their families to improve health outcomes and reduce the impact of gun violence. We recruited 10 patients from the trauma registry of a Midwestern university hospital with a Level 1 Trauma Center (L1TC). After obtaining the informed consent, semi-structured, face-to-face, in-depth interviews were conducted. Discussions focused on post-discharge needs and resources to facilitate the recovery and rehabilitation process, and aid in community reintegration. Interviews were audiotaped and transcribed verbatim. Transcripts were analyzed thematically in stages of open, axial, and selective coding methods. Seven main themes were identified at the hospital and community level. These included the following: (a) feeling stigmatized by hospital personnel, (b) patient-provider communication, (c) feeling discharged too soon, (d) issues in obtaining medicines, (e) challenges with Chicago Police Department, (f) transportation to trauma center for follow-up care, and (g) concerns with returning back to the community. Patients reported the need for mental health counseling for themselves and their family, more follow-up, and help with financial paperwork among others. For the victims of gun violence, there exists a chasm between injury and care, and an even wider one between care and rehabilitation. The findings can inform health care, social workers, and rehabilitation professionals in their efforts to better address the myriad of unmet needs pre- and post-discharge. For trauma centers, the identified needs provide a template for developing an individualized- and community-centered resource pathway to improve outcomes and reduce suffering for this particularly vulnerable subset of patients.

Hospital-based violence intervention programs targeting adult populations: an Eastern Association for the Surgery of Trauma evidence-based review.

BACKGROUND: Violent injury and reinjury take a devastating toll on distressed communities. Many trauma centers have created hospital-based violent injury prevention programs (HVIP) to address psychosocial, educational, and mental health needs of injured patients that may contribute to reinjury. OBJECTIVES: To evaluate the overall effectiveness of HVIPs for violent injury prevention. We performed an evidence-based review to answer the following population, intervention, comparator, outcomes (PICO) question: Are HVIPs attending to adult patients (age 18+) treated for intentional injury more effective than the usual care at preventing: intentional violent reinjury and/or death; arrest and/or incarceration; substance abuse and/or mental issues; job and/or school attainment? DATA SOURCES: PubMed, Web of Science, Google Scholar, and the Cochrane Library were queried for salient articles by a professional librarian on two separate occasions, and related articles were identified from references. STUDY ELIGIBILITY CRITERIA PARTICIPANTS INTERVENTIONS: Eligible studies examined adult patients treated for intentional injury in a hospital-based violence prevention program compared to a control group. STUDY APPRAISAL AND SYNTHESIS METHODS: We used the Grading of Recommendations Assessment, Development, and Evaluation methodology to assess the breadth and quality of the evidence. RESULTS: 71 articles were identified. After discarding duplicates, reviews, and those articles that did not address our PICO questions, we ultimately reviewed 10 articles. We found insufficient evidence to recommend adult-focused HVIP interventions. LIMITATIONS: There was a relative paucity of data, and available studies were limited by self-selection bias and small sample sizes. CONCLUSIONS: We make no recommendation with respect to adult-focused HVIP interventions.

CSF T-Tau/Aß42 predicts white matter microstructure in healthy adults at risk for Alzheimer's disease.

Cerebrospinal fluid (CSF) biomarkers T-Tau and Aß(42) are linked with Alzheimer's disease (AD), yet little is known about the relationship between CSF biomarkers and structural brain alteration in healthy adults. In this study we examined the extent to which AD biomarkers measured in CSF predict brain microstructure indexed by diffusion tensor imaging (DTI) and volume indexed by T1-weighted imaging. Forty-three middle-aged adults with parental family history of AD received baseline lumbar puncture and MRI approximately 3.5 years later. Voxel-wise image analysis methods were used to test whether baseline CSF Aß(42), total tau (T-Tau), phosphorylated tau (P-Tau) and neurofilament light protein predicted brain microstructure as indexed by DTI and gray matter volume indexed by T1-weighted imaging. T-Tau and T-Tau/Aß(42) were widely correlated with indices of brain microstructure (mean, axial, and radial diffusivity), notably in white matter regions adjacent to gray matter structures affected in the earliest stages of AD. None of the CSF biomarkers were related to gray matter volume. Elevated P-Tau and P-Tau/Aß(42) levels were associated with lower recognition performance on the Rey Auditory Verbal Learning Test. Overall, the results suggest that CSF biomarkers are related to brain microstructure in healthy adults with elevated risk of developing AD. Furthermore, the results clearly suggest that early pathological changes in AD can be detected with DTI and occur not only in cortex, but also in white matter.