Publications by authors named "A Hildebrand"

Sleep-wake disturbances frequently present in Veterans with mild traumatic brain injury (mTBI). These TBI-related sleep impairments confer significant burden and commonly exacerbate other functional impairments. Therapies to improve sleep following mTBI are limited and studies in Veterans are even more scarce.

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Background: Optimised use of kidney function information might improve cardiac risk prediction in noncardiac surgery.

Methods: In 35,815 patients from the VISION cohort study and 9219 patients from the POISE-2 trial who were ≥45 yr old and underwent nonurgent inpatient noncardiac surgery, we examined (by age and sex) the association between continuous nonlinear preoperative estimated glomerular filtration rate (eGFR) and the composite of myocardial injury after noncardiac surgery, nonfatal cardiac arrest, or death owing to a cardiac cause within 30 days after surgery. We estimated contributions of predictive information, C-statistic, and net benefit from eGFR and other common patient and surgical characteristics to large multivariable models.

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Background: This meta-analysis is an update to a seminal meta-analysis on racial/ethnic disparities in pain treatment in the United States (US) published in 2012. Since then, literature has accumulated on the topic and important policy changes were made.

Objective: Examining racial/ethnic disparities in pain management and investigating key moderators of the association between race/ethnicity and pain outcomes in the US.

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Background: In recent years, internet- and mobile-based interventions (IMIs) have become increasingly relevant in mental health care and have sparked societal debates. Psychotherapists' perspectives are essential for identifying potential opportunities for improvement, facilitating conditions, and barriers to the implementation of these interventions.

Objective: This study aims to explore psychotherapists' perspectives on opportunities for improvement, facilitating conditions, and barriers to using IMIs.

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We present Sci-ModoM, the first next-generation RNome database offering a holistic view of the epitranscriptomic landscape. Sci-ModoM has a simple yet powerful interface, underpinned by FAIR data principles, a standardized nomenclature, and interoperable formats, fostering the use of common standards within the epitranscriptomics community. Sci-ModoM provides quantitative measurements per site and dataset, enabling users to assess confidence levels based on score, coverage, and stoichiometry.

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