Evidence map›Paper›PMID 32107065›Full record

Observational studyHeart & lung : the journal of critical care

Use of actigraphy to characterize inactivity and activity in patients in a medical ICU.

Prerna Gupta, Jennifer L Martin, Dale M Needham, Sitaram Vangala, Elizabeth Colantuoni, Biren B Kamdar

Open access · greenAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Heart & lung : the journal of critical care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Observational
  3. An approach to improving efficiency of actigraphy data in research: use of statistical software to facilitate batch import.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Observational
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

6 authors at 3 institutions in 1 country.

Prerna GuptaDepartment of Medicine, David Geffen School of Medicine at UCLA, 10833 Le Conte Ave, Los Angeles, CA 90095, USA. Electronic address: prernagupta@mednet.ucla.edu.
Jennifer L MartinDepartment of Medicine, David Geffen School of Medicine at UCLA, 10833 Le Conte Ave, Los Angeles, CA 90095, USA; VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd, Los Angeles, CA 90073, USA. Electronic address: jennifer.martin@va.gov.
Dale M NeedhamOutcomes After Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, 1830 E Monument St, Baltimore, MD 21287, USA; Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, 1830 E Monument St, Baltimore, MD 21287, USA; Department of Physical Medicine and Rehabilitation, Johns Hopkins University, 600 N Wolfe St, Baltimore, MD 21287, USA. Electronic address: dale.needham@jhmi.edu.
Sitaram VangalaDepartment of Medicine, David Geffen School of Medicine at UCLA, 10833 Le Conte Ave, Los Angeles, CA 90095, USA; Department of Biostatistics, UCLA Fielding School of Public Health, 650 Charles E Young Dr S, Los Angeles, CA 90095, USA. Electronic address: svangala@mednet.ucla.edu.
Elizabeth ColantuoniOutcomes After Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, 1830 E Monument St, Baltimore, MD 21287, USA; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe Street, Baltimore, MD 21205, USA. Electronic address: ejohnson@jhsph.edu.
Biren B KamdarDivision of Pulmonary, Critical Care and Sleep Medicine, UC San Diego School of Medicine, 9300 Campus Point Dr. #7381, La Jolla, CA 92037, USA; VA San Diego Healthcare System, 3350 La Jolla Village Dr., San Diego, CA 92161. Electronic address: kamdar@ucsd.edu.
University of California, Los Angeles · USJohns Hopkins University · USUC San Diego Health System · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Nutrition and Exercise in Critical Illness (The NEXIS Trial): A Randomized Trial of Combined Cycle Ergometry and Amino Acids in the ICUR01HL132887 · NHLBI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HEYLAND, DAREN KEITH, NEEDHAM, DALE MURRAY · 2017 to 2021
$3.5M
Improving the statistical design and analysis of randomized controlled trials of delirium prevention and treatment for critically ill older adultsR01AG061384 · NIA · JOHNS HOPKINS UNIVERSITY · PI COLANTUONI, ELIZABETH · 2019 to 2022
$1.5M
Multicomponent intervention to improve delirium and sleep-wake rhythms in older ICU patientsK76AG059936 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KAMDAR, BIREN BHARAT · 2018 to 2022
$1.4M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1 TR001881NHLBI NIH HHS R01 HL132887NIA NIH HHS K76 AG059936NIA NIH HHS R01 AG061384
6 · The paper itself

Abstract

backgroundIn the intensive care unit (ICU), inactivity is common, contributing to ICU-acquired weakness and poor outcomes. Actigraphy may be useful for measuring activity in the ICU.

objectivesTo use actigraphy to characterize inactivity and activity in critically ill patients.

methodsThis prospective observational study involved 48-h wrist actigraphy in medical ICU (MICU) patients, with activity data captured across 30-s epochs. Inactivity (zero-activity epochs) and activity (levels of non-zero activity) were summarized across key patient (e.g., age) and clinical (e.g., mechanical ventilation status) variables, and compared using multivariable regression.

resultsOverall, 189,595 30-s epochs were collected in 34 MICU patients. Zero-activity (inactivity) comprised 122,865 (65%) of epochs; these epochs were 24% and 13% more prevalent, respectively, in patients receiving mechanical ventilation (versus none, p < 0.001) and in the highest (versus lowest) organ failure score tertile (p = 0.03). Ambulatory (versus non-ambulatory) patients exhibited more non-zero activity (35 more movements per epoch, p < 0.001), while those in the highest (versus lowest) organ failure score tertile exhibited less activity (22 fewer movements per epoch, p = 0.03). Significant inactivity/activity differences were not observed when evaluated based on age, sedation, or restraint status.

conclusionsActigraphy demonstrated that MICU patients are profoundly inactive, including those who are young, non-sedated and non-restrained. Hence, ICU-specific, non-patient-related factors may contribute to inactivity, an issue requiring further investigation.

Indexed as

ActigraphyIntensive Care UnitsCritical CareCritical IllnessHumansLength of StayRespiration, ArtificialActigraphyActivityCritical illnessICUInactivityMobilization

Identifiers

PMID32107065
PMCPMC7305977
OpenAlexW3008282849

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.