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Computational imaging has been revolutionized by compressed sensing algorithms, which offer guaranteed uniqueness, convergence, and stability properties. Model-based deep learning methods that combine imaging physics with learned regularization priors have emerged as more powerful alternatives for image recovery. The main focus of this paper is to introduce a memory efficient model-based algorithm with similar theoretical guarantees as CS methods. The proposed iterative algorithm alternates between a gradient descent involving the score function and a conjugate gradient algorithm to encourage data consistency. The score function is modeled as a monotone convolutional neural network. Our analysis shows that the monotone constraint is necessary and sufficient to enforce the uniqueness of the fixed point in arbitrary inverse problems. In addition, it also guarantees the convergence to a fixed point, which is robust to input perturbations. We introduce two implementations of the proposed MOL framework, which differ in the way the monotone property is imposed. The first approach enforces a strict monotone constraint, while the second one relies on an approximation. The guarantees are not valid for the second approach in the strict sense. However, our empirical studies show that the convergence and robustness of both approaches are comparable, while the less constrained approximate implementation offers better performance. The proposed deep equilibrium formulation is significantly more memory efficient than unrolled methods, which allows us to apply it to 3D or 2D+time problems that current unrolled algorithms cannot handle.

Little research has compared item functioning of the Patient-Reported Outcomes Measurement Information System (PROMIS®) anxiety short form 6a and the generalized anxiety disorder 7-item scale using item response theory models. This was a secondary analysis of self-reported assessments from 67 at-risk U.S. military veterans. The two measures performed comparably well with data fitting adequately to models, acceptable item discriminations, and item and test information curves being unimodal and symmetric. The PROMIS® anxiety short form 6a performed better in that item difficulty estimates had a wider range and distributed more evenly and all response categories had less floor effect, while the third category in most items of the generalized anxiety disorder 7-item scale were rarely used. While both measures may be appropriate, findings provided preliminary information supporting use of the PROMIS® anxiety short form 6a as potentially preferable, especially for veterans with low-to-moderate anxiety. Further testing is needed in larger, more diverse samples.

Background:Hypoplastic left heart syndrome and single ventricle variants with aortic hypoplasia are commonly classified as severe forms of CHD. We hypothesised patients with these severe defects and reported genetic abnormalities have increased morbidity and mortality during the interstage period.Methods and Results:This was a retrospective review of the National Pediatric Cardiology Quality Improvement Collaborative Phase I registry. Three patient groups were identified: major syndromes, other genetic abnormalities, and no reported genetic abnormality. Tukey post hoc test was applied for pairwise group comparisons of length of stay, death, and combined outcome of death, not a candidate for stage 2 palliation, and heart transplant. Participating centres received a survey to establish genetic testing and reporting practices. Of the 2182 patients, 110 (5%) had major genetic syndromes, 126 (6%) had other genetic abnormalities, and 1946 (89%) had no genetic abnormality. Those with major genetic syndromes weighed less at birth and stage 1 palliation. Patients with no reported genetic abnormalities reached full oral feeds sooner and discharged earlier. The combined outcome of death, not a candidate for stage 2 palliation, and heart transplant was more common in those with major syndromes. Survey response was low (n = 23, 38%) with only 14 (61%) routinely performing and reporting genetic testing.Conclusions:Patients with genetic abnormalities experienced greater morbidity and mortality during the interstage period than those with no reported genetic abnormalities. Genetic testing and reporting practices vary significantly between participating centres.

Background: The majority of youth with type 1 diabetes (T1D) fail to meet glycemic targets despite increasing continuous glucose monitoring (CGM) use. We therefore aimed to determine the proportion of caregivers who review recent glycemic trends (“retrospective review”) and make ensuant insulin adjustments based on this data (“retroactive insulin adjustments”). We additionally considered that fear of hypoglycemia and frequency of severe hypoglycemia would be associated with performing retrospective review. Methods: We conducted a cross-sectional survey of caregivers of youth with T1D, collecting demographics, diabetes technology usage, patterns of glucose data review/insulin dose self-adjustment, and Hypoglycemia Fear Survey (HFS). Results: Nineteen percent of eligible caregivers (191/1003) responded. Performing retrospective review was associated with younger child age (12.2 versus 15.4, P = .0001) and CGM use (92% versus 73%, P = .004), but was not associated with a significant improvement in child’s HbA1c (7.89 versus 8.04, P = .65). Retrospective reviewers had significantly higher HFS-behavior scores (31.9 versus 27.7, P = .0002), which remained significantly higher when adjusted for child’s age and CGM use ( P = .005). Linear regression identified a significant negative association between HbA1c (%) and number of retroactive insulin adjustments (0.24 percent lower mean HbA1c per additional adjustment made, P = .02). Conclusions: Retrospective glucose data review is associated with improved HbA1c when coupled with data-driven retroactive insulin adjustments. Barriers to data downloading existed even in this cohort of predominantly CGM-using T1D families.

Background Mild traumatic brain injury (mTBI) is a signature wound of Veterans of operations in Iraq and Afghanistan (i.e., OIF/OEF/OND). Most Veterans with mTBI also experience stress-based psychopathology (e.g., depression, posttraumatic stress disorder) and chronic pain. This combination – referred to as polytrauma - results in detrimental long-term effects on social, occupational, and community reintegration. This study will compare the efficacy of a one-day Acceptance and Commitment Training plus Education, Resources, and Support (ACT+ERS) workshop to a one-day active control group (ERS) on symptoms of distress and social, occupational, and community reintegration. We will also examine mediators and moderators of treatment response. Methods This is an ongoing randomized clinical trial. 212 OIF/OEF/OND Veterans with polytrauma are being recruited. Veterans are randomly assigned to a one-day ACT+ERS or a one-day ERS workshop with two individualized booster sessions approximately two- and four-weeks post-workshop. Veterans complete assessments prior to the workshop and again at six weeks, three months, and six months post-workshop. Of note, workshops were converted to a virtual format due to the COVID-19 pandemic. Results The primary outcomes are symptoms of distress and reintegration; secondary outcomes are post-traumatic stress disorder symptoms and pain interference. Secondary analyses will assess whether changes in avoidance at three months mediate changes in distress and reintegration at six months. Conclusion Facilitating the psychological adjustment and reintegration of Veterans with polytrauma is critical. The results of this study will provide important information about the impact of a brief intervention for Veterans with these concerns.