Real world data on cardiometabolic diseases in U.S. adults during the SARS-CoV-2 pandemic: a decentralized registry study.

BACKGROUND: Pre-existing cardiometabolic comorbidities place SARS-CoV-2 positive patients at a greater risk for poorer clinical course and mortality than those without it. We aimed to analyze real-world registry data focused primarily on participants with cardiometabolic diseases (CMD), which were remotely obtained via a digital platform. METHODS: Participants were divided into two groups: CMD or no cardiometabolic disease (non-CMD). They were evaluated based on their medical history, current medications/supplements, COVID-19 status, demographics, and baseline characteristics. The frequency of medications/supplements for CMD were compared using relative risks and 95% confidence intervals. The WHO (Five) Well-Being Index (WHO-5) were collected monthly for 6 months to assess psychological well-being which included cheerfulness, calmness, vigor, rest, and engagement with daily activities of interest. RESULTS: The 791 enrollees represented 49 U.S. states. The CMD group had significantly higher (p < 0.0001) BMI (mean + 3.04 kg/m2) and age (mean + 9.15 years) compared to non-CMD group. In the CMD group, participants who tested positive for COVID-19 had lower (p < 0.0001) well-being scores than those without COVID-19. For the 274 participants on CMD medications/supplements, there was no statistical difference in risk of COVID-19 contracture based on medication/supplement type; however, all six participants who were not being treated for CMD were COVID-19 positive (RR ~ 104). For 89 participants who were on treatment for diabetes or insulin resistance, there was a 90% reduced risk of COVID-19 incidence (p = 0.0187). CONCLUSION: The well-being score of the CMD group was dependent on whether they tested positive for COVID-19. Type of CMD treatment did not impact COVID-19 status, but absence of treatment significantly increased COVID-19 incidence. With respect to SARS-CoV-2, our analysis supports continued use of the statins, ACE-I, ARBs, and diabetes medications in CMD patients. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04348942.

A Randomized Feasibility Trial of a Novel, Integrative, and Intensive Virtual Rehabilitation Program for Service Members Post-Acquired Brain Injury.

INTRODUCTION: Acquired Brain Injury, whether resulting from Traumatic brain injury (TBI) or Cerebral Vascular Accident (CVA), represent major health concerns for the Department of Defense and the nation. TBI has been referred to as the "signature" injury of recent U.S. military conflicts in Iraq and Afghanistan - affecting approximately 380,000 service members from 2000 to 2017; whereas CVA has been estimated to effect 795,000 individuals each year in the United States. TBI and CVA often present with similar motor, cognitive, and emotional deficits; therefore the treatment interventions for both often overlap. The Defense Health Agency and Veterans Health Administration would benefit from enhanced rehabilitation solutions to treat deficits resulting from acquired brain injuries (ABI), including both TBI and CVA. The purpose of this study was to evaluate the feasibility of implementing a novel, integrative, and intensive virtual rehabilitation system for treating symptoms of ABI in an outpatient clinic. The secondary aim was to evaluate the system's clinical effectiveness. MATERIALS AND METHODS: Military healthcare beneficiaries with ABI diagnoses completed a 6-week randomized feasibility study of the BrightBrainer Virtual Rehabilitation (BBVR) system in an outpatient military hospital clinic. Twenty-six candidates were screened, consented and randomized, 21 of whom completed the study. The BBVR system is an experimental adjunct ABI therapy program which utilizes virtual reality and repetitive bilateral upper extremity training. Four self-report questionnaires measured participant and provider acceptance of the system. Seven clinical outcomes included the Fugl-Meyer Assessment of Upper Extremity, Box and Blocks Test, Jebsen-Taylor Hand Function Test, Automated Neuropsychological Assessment Metrics, Neurobehavioral Symptom Inventory, Quick Inventory of Depressive Symptomatology-Self-Report, and Post Traumatic Stress Disorder Checklist- Civilian Version. The statistical analyses used bootstrapping, non-parametric statistics, and multilevel/hierarchical modeling as appropriate. This research was approved by the Walter Reed National Military Medical Center and Uniformed Services University of the Health Sciences Institutional Review Boards. RESULTS: All of the participants and providers reported moderate to high levels of utility, ease of use and satisfaction with the BBVR system (x- = 73-86%). Adjunct therapy with the BBVR system trended towards statistical significance for the measure of cognitive function (ANAM [x- = -1.07, 95% CI -2.27 to 0.13, p = 0.074]); however, none of the other effects approached significance. CONCLUSION: This research provides evidence for the feasibility of implementing the BBVR system into an outpatient military setting for treatment of ABI symptoms. It is believed these data justify conducting a larger, randomized trial of the clinical effectiveness of the BBVR system.

Does social cognition training augment response to computer-assisted cognitive remediation for schizophrenia?

OBJECTIVES: Cognitive remediation therapy (CRT) has shown significant improvement in cognition in schizophrenia. However, effect sizes of CRT have been reported to be modest raising the issue how to augment the effects of CRT on neurocognition and social cognition. Our aim was to examine whether the addition of computerized social cognition training would enhance the effects on neurocognition and social cognition as compared to CRT alone. METHODS: This is a 12-week, parallel group trial of 131 in- and out-patients with schizophrenia randomized to CRT (COGPACK or Brain Fitness) with computerized social cognition training (MRIGE), or CRT alone for 36 sessions. Participants were assessed at baseline and after 12 weeks of treatment. Assessments included neurocognition, social cognition, psychopathology, and functioning. RESULTS: The combined intervention, CRT + MRIGE, showed greater improvements in the MCCB indices of Visual Learning, Working Memory, Reasoning and Problem-Solving, and the neurocognitive composite score compared to CRT alone (Bonferroni adjusted p = 0.004, p = 0.005, p = 0.01, respectively), as did social cognition measures (Bonferroni adjusted p = 0.006, p = 0.005, respectively). CONCLUSIONS: Supplementing CRT with computerized social cognition training produced greater benefits in neurocognition, including visual learning, memory, executive functions, and social cognition relative to cognitive training alone. These findings favoring the combined training may be contributed to both the greater overall amount of cognitive practice, as well as the specific cognitive functions engaged by the social cognition training.

Factors predicting desired autonomy in medical decisions: Risk-taking and gambling behaviors.

This study investigated factors that influence patients' desired level of autonomy in medical decisions. Analyses included previously supported demographic variables in addition to risk-taking and gambling behaviors, which exhibit a strong relationship with overall health and decision-making, but have not been investigated in conjunction with medical autonomy. Participants (N = 203) completed measures on Amazon's Mechanical Turk, including two measures of autonomy. Two hierarchical regressions revealed that the predictors explained a significant amount of variance for both measures, but the contribution of predictor variables was incongruent between models. Possible causes for this incongruence and implications for patient-physician interactions are discussed.