Evidence map›Paper›PMID 42014445›Full record

ArticleNPJ digital medicine2026

Quantifying sleep wake rhythms in the hospital environment with digital technologies.

Carsten Skarke, Nadim El Jamal, Michael V Genuardi, Thomas G Brooks, Antonijo Mrčela, Nicholas F Lahens, Makayla Cordoza, Sean Sarles, Amarachi Mbadugha, Dineth R Karunamuni and 12 more

Registry-linked trialAbstract read
In one paragraph

Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05828680 (Circadian Rhythm Disruption in the Hospital Intensive Care Environment), which is not on this 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.

NCT05828680 active not recruitingnot on this map

Circadian Rhythm Disruption in the Hospital Intensive Care Environment

TypeobservationalSponsorUniversity of PennsylvaniaRan2023 to 2028Enrolled15ConditionsSurgery, Cardiovascular DiseasesArmsObservation
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

5 · Who and what money

Authors and funding

22 authors.

Carsten SkarkeInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. cskarke@pennmedicine.upenn.edu.
Nadim El JamalInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Michael V GenuardiDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Thomas G BrooksInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Antonijo MrčelaInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Nicholas F LahensInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Makayla CordozaSchool of Nursing, Vanderbilt University, Nashville, TN, USA.
Sean SarlesDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Amarachi MbadughaInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Dineth R KarunamuniDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Shikhar GuptaDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Charles J BaeDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Amita SehgalDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Thomas P CappolaDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Jacob T GutscheDepartment of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Pavan AtluriDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Nimesh D DesaiDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Michael A AckerDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Gregory R GrantInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Richard J SchwabDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Ilene M RosenDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Garret A FitzGeraldInstitute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. garret@upenn.edu.

Funding

Clinical and Translational Research Award 2U54TR001878
6 · The paper itself

Abstract

Postoperative clinical care is prone to circadian desynchronization that may influence health outcomes. In an exploratory, feasibility-oriented and signal-exploration effort, 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 (5.2% enrolled from 252 screened). We found that room traffic continued during nighttime with ≥1 visit/h. Sound levels exceeded the recommended 45 dBA threshold (51.9 ± 3.3 vs. 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 and phase-shifted during hospitalization. Time awake during night hours increased from 10.7 ± 7.9% preoperatively to 34.8 ± 29.1% in-hospital. Cognitive function scores decreased (26.8 ± 2.8 points preoperatively to 24.7 ± 3.9 points in-hospital) with 31% of patients developing transient mild impairment. These data will inform the design of a controlled trial seeking to modify circadian/diurnal disruptors to enhance patient outcomes. Clinicaltrials.gov NCT05828680, November 21, 2022.

Identifiers

PMID42014445
PMCPMC13284162

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Registered trials

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.