Demaerschalk, Bart M

To examine the association between post-stroke depression (PSD) and macrostructural and microstructural brain measures, and to explore whether changes in accelerometer-measured physical activity (PA) are associated with PSD, we conducted an exploratory study in UK Biobank with dementia-free participants diagnosed with at least one prior stroke. Eligible participants (n = 1186) completed an MRI scan. Depression was classified based on positive depression screening scores (PHQ-2 ≥ 3). Multivariate linear regression models assessed the relationships between depression and structural and diffusion measures generated from brain MRI scans. Logistic regression models were used to examine the relationship between accelerometer-measured daily PA and future depression (n = 367). Depression was positively associated with total white matter hyperintensities (WMHs) volume (standardized β [95% CI]—0.1339 [0.012, 0.256]; FDR-adjusted p-value—0.039), periventricular WMHs volume (standardized β [95% CI]—0.1351 [0.020, 0.250]; FDR-adjusted p-value—0.027), and reduced MD for commissural fibers (standardized β [95% CI]—−0.139 [−0.255, −0.024]; adjusted p-value—0.045). The odds of depression decreased by 0.3% for each daily minute spent in objectively measured light PA, while each minute spent in sleep from midnight to 6:00 AM was associated with a 0.9% decrease in the odds of depression. This early-stage analysis using a population cohort offers a scientific rationale for researchers using multimodal data sources to investigate the heterogenous nature of PSD and, potentially, identify stroke patients at risk of poor outcomes.

Background The goal was to compare patterns of physical activity (PA) behaviors (sedentary behavior [SB], light PA, moderate‐to‐vigorous PA [MVPA], and sleep) measured via accelerometers for 7 days between patients with incident cerebrovascular disease (CeVD) (n=2141) and controls (n=73 938). Methods and Results In multivariate models, cases spent 3.7% less time in MVPA (incidence rate ratio [IRR], 0.963 [95% CI, 0.929–0.998]) and 1.0% more time in SB (IRR, 1.010 [95% CI, 1.001–1.018]). Between 12 and 24 months before diagnosis, cases spent more time in SB (IRR, 1.028 [95% CI, 1.001–1.057]). Within the year before diagnosis, cases spent less time in MVPA (IRR, 0.861 [95% CI, 0.771–0.964]). Although SB time was not associated with CeVD risk, MVPA time, both total min/d (hazard ratio [HR], 0.998 [95% CI, 0.997–0.999]) and guideline threshold adherence (≥150 min/wk) (HR, 0.909 [95% CI, 0.827–0.998]), was associated with decreased CeVD risk. Comorbid burden had a significant partial mediation effect on the relationship between MVPA and CeVD. Cases slept more during 12:00 to 17:59 hours (IRR, 1.091 [95% CI, 1.002–1.191]) but less during 0:00 to 5:59 hours (IRR, 0.984 [95% CI, 0.977–0.992]). No between‐group differences were significant at subgroup analysis. Conclusions Daily behavior patterns were significantly different in patients before CeVD. Although SB was not associated with CeVD risk, the association between MVPA and CeVD risk is partially mediated by comorbid burden. This study has implications for understanding observable behavior patterns in cerebrovascular dysfunction and may help in developing remote monitoring strategies to prevent or reduce cerebrovascular decline.

Introduction: Central retinal artery occlusion (CRAO) is an under-recognized stroke subtype that may benefit from hyperacute reperfusion therapies. We aimed to evaluate the ability of telestroke activations to provide CRAO diagnosis and thrombolysis. Methods: This retrospective observational study investigates all encounters conducted for acute visual loss between 2010 and 2021 in our multicentric Mayo Clinic Telestroke Network. Demographics, time from visual loss to telestroke evaluation, ocular examination, diagnostic, and therapeutic recommendations were collected for CRAO subjects. Results: Out of 9,511, 49 encounters (0.51%) were conducted for an acute ocular complaint. Five patients had possible CRAO, and 4 presented within 4.5 h from symptom onset (range 1.5–5 h). None received thrombolytic therapy. All telestroke physicians recommended ophthalmology consultation. Conclusion: Current telestroke assessment of acute visual loss is suboptimal and patients eligible for acute reperfusion therapies may not be offered treatment. Teleophthalmologic evaluations and advanced ophthalmic diagnostic tools should complement telestroke systems.

Abstract Virtual care, introduced previously as a replacement for in-person visits, is now being integrated into clinical care delivery models to complement in-person visits. The COVID-19 pandemic sped up this process. The rapid uptake of virtual care at the start of the pandemic prevented educators from taking deliberate steps to design the foundational elements of the related learning environment, including workflow, competencies, and assessment methods. Educators must now pursue an informed and purposeful approach to design a curriculum and implement virtual care in the learning environment. Engaging learners in virtual care offers opportunities for novel ways to teach and assess their performance and to effectively integrate technology such that it is accessible and equitable. It also offers opportunities for learners to demonstrate professionalism in a virtual environment, to obtain a patient’s history incorporating interpersonal and communication skills, to interact with multiple parties during a patient encounter (patient, caregiver, translator, telepresenter, faculty member), to enhance physical examination techniques via videoconferencing, and ideally to optimize demonstrations of empathy through “webside manner.” Feedback and assessment, important features of training in any setting, must be timely, specific, and actionable in the new virtual care environment. Recognizing the importance of integrating virtual care into education, leaders from across the United States convened on September 10, 2020, for a symposium titled, “Crossing the Virtual Chasm: Rethinking Curriculum, Competency, and Culture in the Virtual Care Era.” In this article, the authors share recommendations that came out of this symposium for the implementation of educational tools in the evolving virtual care environment. They present core competencies, assessment tools, precepting workflows, and technology to optimize the delivery of high-quality virtual care that is safe, timely, effective, efficient, equitable, and patient-centered.

Introduction: Teleneonatology (TN) allows remote neonatologists to provide real-time audio-video telemedicine support to community hospitals when neonates require advanced resuscitation or critical care. Currently, there are no published economic evaluations of U.S. TN programs. Objective: To evaluate the cost of TN from the perspective of the health care system. Methods: We constructed a decision tree comparing TN to usual care for neonates born in hospitals without a neonatal intensive care unit (NICU) who require consultation. Our outcome of interest was total cost per patient, which included the incremental cost of a TN program, the cost of medical transport, and the cost of NICU or non-NICU hospitalization. We performed threshold sensitivity analyses where we varied each parameter to determine whether the base-case finding reverted. Results: For neonates requiring consultation after birth in a hospital without a NICU, TN was less costly ($16,878) than usual care ($28,047), representing a cost-savings of $11,168 per patient. Sensitivity analyses demonstrated that at least one of the following conditions would need to be met for TN to no longer be cost saving compared to usual care: transfer rate with usual care <12% (base-case = 82%), TN reducing the odds of transfer by <8% (base-case = 52%), or TN cost exceeding $12,989 per patient (base-case = $1,821 per patient). Conclusions: Economic modeling from the health system perspective demonstrated that TN was cost saving compared to usual care for neonates requiring consultation following delivery in a non-NICU hospital. Understanding the cost savings associated with TN may influence organizational decisions regarding implementation, diffusion, and retention of these programs.

Background/Aims: Clinical trials evaluating facility-to-facility telemedicine may include sites that have limited research experience. For the trial to be successful, these sites must correctly perform research-related tasks. This study aimed to determine whether health care professionals at community hospitals could accurately identify simulated study eligible patients and submit data to a research coordinating center. Methods: Twenty-seven community hospitals in the United States and Canada participated in this study. An electronic survey was sent to one designated health care professional at each site. The survey included a description of trial eligibility criteria and five written neonatal resuscitation scenarios. For each scenario, the participant determined whether the neonate was study eligible. One scenario required participants to submit 14 data elements to the coordinating center. Accuracy of study eligibility and data submission was summarized using standard descriptive statistics. Results: The survey response rate was 100% (27/27). Overall accuracy in determining study eligibility was 89% (120/135), and accuracy varied across the five scenarios (range 82–93%). Overall accuracy of data submission was 92% (310/336). Data were >95% accurate for 9 of the 14 data elements, with 100% accuracy achieved for 6 data elements. These results were used to clarify eligibility criteria, inform database design, and improve training materials for the subsequent clinical trial. Conclusions: Health care professionals at community hospitals accurately determined trial eligibility and submitted study data based on written clinical scenarios. Research teams conducting telemedicine trials with community hospitals should consider completing pre-trial simulation activities to identify opportunities for improving trial processes and materials.