Cassidy, Adam R

Adults with congenital heart disease (CHD) constitute a growing population with challenges related to cardiovascular and neurological health. Many individuals born with CHD experience neurodevelopmental delays in childhood. Ongoing neurocognitive and psychological concerns impact education, employment, and quality of life. Despite this, interventions to address these issues are largely unexplored. Collaborations among multidisciplinary experts and patient partners culminated at a 2‐day Adult Congenital Heart Disease (ACHD)/Neuro Conference (April 2024) to review the current state of knowledge and guide future directions for research and clinical care. Three working groups separately focused on genetics and brain health, characterizing outcomes, and interventions among patients with ACHD. This article focuses on the work of the interventions group. A consensus statement was created to synthesize current knowledge, identify key gaps, and recommend next steps around 5 critical questions designed to guide research and clinical care for interventions with ACHD: (1) What interventions are effective for improving neurocognitive functioning? (2) What interventions are effective for improving psychological wellbeing? (3) What evidence do we have about safety and efficacy of psychotropic medications? (4) What interventions can improve health literacy? (5) What are modifiable facilitators and barriers to accessing high‐quality neurocognitive and psychological interventions? Limited research and fragmented health systems hinder interventions in ACHD. Efforts from pediatric congenital heart disease could inform the ACHD community. Although interventions are costly and resource intensive, neglecting neurocognitive and psychological needs could lead to lower quality of life and higher health care costs. By ultimately shifting to prevention and intervention, the ACHD community could facilitate positive outcomes.

Individuals with congenital heart disease are living well into adulthood, resulting in a growing population at risk for neurocognitive and psychosocial challenges. Numerous studies have described these risks in childhood, but significant gaps remain in our understanding of how those challenges evolve across stages of adulthood and how to optimally integrate neurocognitive and psychosocial care for adults with congenital heart disease. A multidisciplinary group of experts and patient partners assembled in April 2024 in Atlanta, GA, forming 3 working groups: (1) Genetics and Brain Health, (2) Characterizing Neuropsychological and Psychological Outcomes, and (3) Neuropsychological and Psychosocial Interventions. Current knowledge was reviewed, knowledge gaps were identified, and recommendations to address these gaps were formulated. Five critical questions regarding the characterization of neuropsychological and psychological outcomes of adults with congenital heart disease were prioritized for discussion: which neurocognitive and psychosocial domains should be prioritized in research and clinical care, what are the trajectories of neurocognitive and psychosocial functioning over the lifespan, how should neurocognitive and psychosocial screening be deployed, what should neurocognitive and psychosocial assessments include, and how do we make comprehensive neurocognitive and psychosocial care a reality. Although many gaps in knowledge were identified, particularly around characterizing neurocognitive trajectories throughout adulthood, there is substantial evidence of increased risk for poor psychosocial outcomes among adults with with congenital heart disease. Clinical and research advances must progress in tandem to address these risks. Specific recommendations for advancing this field over the next decade are offered.

With improvement in medical and surgical care, the number of adults with congenital heart disease (CHD) is soaring. Adults with CHD commonly have impairments in brain health. However, significant gaps in knowledge remain regarding the relevant types and prevalence of neurologic and psychiatric risk and their associated risk factors. We sought to review current evidence, identify gaps in knowledge, and develop key next steps to improve scientific understanding and clinical care. Three working groups—Genetics and Brain Health, Characterizing Neuropsychological and Psychological Outcomes, and Neuropsychological and Psychosocial Interventions—were composed of multidisciplinary experts in relevant clinical and research domains, as well as adults with CHD. Each group identified 5 key knowledge gaps and associated next investigations needed to address those gaps. For Genetics and Brain Health, 5 key knowledge gaps were identified: lack of a standardized neuroimaging protocol for adults with CHD, need to understand neuroradiological–pathological–neuropsychological correlates, role of gene–environment interactions, what can be learned from brain health risk models from other groups, and how existing multimodal approaches influence risk and neuroresilience. Adults with CHD can benefit from routine assessment of brain health, as well as increased clinical and basic research into the underlying factors that contribute to risk and neuroresilience for neurologic and psychiatric sequalae. Multidisciplinary collaborative efforts that incorporate adults with CHD across the research cycle are essential for all key next steps.

ABSTRACT The lower infrastructure requirements of portable ultra‐low field MRI (ULF‐MRI) systems have enabled their use in diverse settings such as intensive care units and remote medical facilities. The UNITY Project is an international neuroimaging network harnessing this technology, deploying portable ULF‐MRI systems globally to expand access to MRI for studies into brain development. Given the wide range of environments where ULF‐MRI systems may operate, there are external factors that might influence image quality. This work aims to introduce the quality control (QC) framework used by the UNITY Project to investigate how robust the systems are and how QC metrics compare between sites and over time. We present a QC framework using a commercially available phantom, scanned with 64 mT portable MRI systems at 17 sites across 12 countries on four continents. Using automated, open‐source analysis tools, we quantify signal‐to‐noise, image contrast, and geometric distortions. Our results demonstrated that the image quality is robust to the varying operational environment, for example, electromagnetic noise interference and temperature. The Larmor frequency was significantly correlated to room temperature, as was image noise and contrast. Image distortions were less than 2.5 mm, with high robustness over time. Similar to studies at higher field, we found that changes in pulse sequence parameters from software updates had an impact on QC metrics. This study demonstrates that portable ULF‐MRI systems can be deployed in a variety of environments for multi‐center neuroimaging studies and produce robust results.