Evidence map›Paper›PMID 42707266›Full record

Observational studyFrontiers in neurology2026

Determinants of intensive care unit light exposure: an observational cohort study of patient, temporal, and structural factors.

Taylor A Intihar, Omkara P Rao, Preston A Gomez-Crase, Margaret M Doyle, Katherine Wasden, Kenneth P Wright, Nancy S Redeker, H Klar Yaggi, Melissa P Knauert

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Taylor A IntiharDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States.
Omkara P RaoDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States.
Preston A Gomez-CraseDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States.
Margaret M DoyleDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States.
Katherine WasdenDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States.
Kenneth P WrightDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO, United States.
Nancy S RedekerUniversity of Connecticut Elisabeth DeLuca School of Nursing, Storrs, CT, United States.
H Klar YaggiDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States.
Melissa P KnauertDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States.

Funding

Circadian Rhythm as a Novel Therapeutic Target in the Intensive Care UnitK23HL138229 · NHLBI · YALE UNIVERSITY · PI KNAUERT, MELISSA P · 2018 to 2021
$746k
NHLBI NIH HHS K23 HL138229
6 · The paper itself

Abstract

Introduction: Patients with critical illness experience profound circadian disruption, driven in part by atypical light exposure in the intensive care unit (ICU). While prior studies characterize ICU light, the extent to which in patient, temporal, and structural factors determine light intensity remains unclear. Methods: We conducted an observational cohort study of light intensity in the rooms of patients admitted to one of thirteen medical ICU (MICU) rooms equipped with continuous light monitoring between February 2021 and 2022. Patients were included if they remained in the monitored MICU room for at least 48 h. We collected patient demographics and clinical features. We recorded light intensity (lux) every 60 s, and then calculated hourly mean lux, hourly proportion of measures ≥250 lux, and hourly proportion of measures ≤10 lux for the first 48 h of each patient's MICU admission. Intraclass correlation coefficients (ICC) quantified variance in each light outcome attributable to patient-level factors. Multivariable multilevel models assessed adjusted associations between patient, temporal and structural factors and light outcomes. Both ICCs and multilevel models were generated separately for day (05:00-22:59) and night (23:00-04:59). Results: Among the 337 patient-room pairs, the mean (± standard deviation) age of patients was 66.1 ± 14.8 years; mean SOFA score was 6.8 ± 3.6; and daytime and nighttime mean lux were 173.8 ± 94.6 and 63.7 ± 88.2, respectively. ICCs indicated that patient-level factors explained 26.3% of daytime and 46.9% of nighttime variance in mean lux; ICC results were similar for other light outcomes. In multivariate models we found that temporal (e.g., time of day, season of ICU admission) and structural factors (e.g., room direction) strongly influenced daytime light levels, whereas nighttime variation was more heavily driven by patient-level factors such as mechanical ventilation status. Conclusion: ICU light exposure shows substantial between-patient variability, particularly at night. In multilevel models, we found that this variability is driven by clinical, temporal and structural factors. Our findings suggest that structural design alone is insufficient to normalize ICU light exposure, and that interventions targeting nocturnal care behaviors and daytime light provision may be necessary to mitigate circadian disruption in patients with critical illness.

Indexed as

Circadian RhythmCritical IllnessIntensive Care UnitsLightLightingAgedCohort StudiesFemaleHumansMaleMiddle AgedTime Factorscircadian disruptioncircadian rhythmcritical illnessICU environmentintensive care unitlight exposureluxphotometry

Identifiers

PMID42707266
PMCPMC13547019

What OpenQuestion holds

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Registered trials

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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.