Evidence map›Paper›PMID 42137474›Full record

ArticleSleep epidemiology2026

Pre-Admission Sleep Characteristics of Patients Admitted to the Medical Intensive Care Unit: A Retrospective Observational Study.

Siddhi Nadkarni, Margaret M Doyle, Melissa P Knauert

Abstract read
In one paragraph

Article in Sleep epidemiology, 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

3 authors.

Siddhi NadkarniYale School of Medicine, 333 Cedar St, New Haven, Connecticut 06510 USA.
Margaret M DoyleYale School of Medicine, Department of Internal Medicine, Knauert Lab, 333 Cedar St, New Haven, Connecticut 06510 USA.
Melissa P KnauertYale School of Medicine, Department of Internal Medicine, Pulmonary, Critical Care, & Sleep Medicine, 333 Cedar St, New Haven, Connecticut 06510 USA.

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: The medical intensive care unit (ICU) can be a challenging place for patients to get adequate sleep. Poor sleep quality before ICU admission could have significant consequences for sleep during ICU admission and for critical illness recovery. The objective of this study was to characterize the pre-admission sleep of patients admitted to the medical ICU using sleep questionnaires obtained during a larger randomized control trial. Methods: Enrolled participants were interviewed regarding their habitual sleep routines prior to their ICU admission via the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS). Demographic and medical information were also collected. Results: We enrolled 40 medically critically ill participants who reported a mean sleep duration (± standard deviation, SD) of 6.9 ± 1.8 hours and a mean sleep latency of 34.2 ± 36.5 minutes. The mean global PSQI score was 7.7 ± 4.0 with 61% of patients having a global PSQI score >5. The mean ESS score was 9.5 ± 5.1 with 36% of patients reporting an abnormal score >10. Discussion: Patients admitted to the ICU appear to have poor quality habitual sleep prior to hospitalization. The PSQI and ESS tools may provide insight into pre-ICU sleep in selected patient populations. These tools could be leveraged to expand the evidence base regarding pre-hospital sleep in critically ill patients and potentially inform interventions to improve sleep in the ICU.

Identifiers

PMID42137474
PMCPMC13170373

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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.