ArticlemedRxiv : the preprint server for health sciences2025
Quantifying Sleep-Wake Rhythms in the Hospital Environment with Digital Technologies.
Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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22 authors.
Funding
Abstract
Postoperative clinical care is prone to circadian desynchronization that, in turn, may influence health outcomes. We collected 1.8 million data points using 11 remote sensors during preoperative, in-hospital and post-discharge settings in 13 elective cardiac surgery patients. We found that room traffic continued during nighttime with ≥1 visit/h. Sound levels exceeded the recommended 45 dBA threshold (51.9±3.3 versus 48.3±4.2 dBA during nighttime). Brightness dropped at night (89.9±87.7 to 3.7±9.8 lux), but bright light exposures occurred. Ambient room temperature lacked sleep-inducing diurnal variability. Behavioral-physiological rhythms were disrupted (decreased amplitude of heart rate variability;
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.