Evidence map›Paper›PMID 30571923›Full record

Trial reportAnnals of the American Thoracic Society2019

Physical Function Trajectories in Survivors of Acute Respiratory Failure.

Sheetal Gandotra, James Lovato, Douglas Case, Rita N Bakhru, Kevin Gibbs, Michael Berry, D Clark Files, Peter E Morris

2 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Annals of the American Thoracic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
6.3field-weighted citation impact, top 3% 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.

NCT00976833 nacompletednot on this map

Standardized Rehabilitation for ICU Patients With Acute Respiratory Failure

TypeinterventionalSponsorWake Forest UniversityRan2009 to 2015Enrolled300ConditionsAcute Respiratory FailureArmsStandardized Rehabilitation, Usual Care
NCT04375709 unknown statusnot on this mapstarted 2020, after this paper: background citation

Health-related Quality of Life (HRQOL) and Physical Performance in Individuals After COVID-19 Induced Hospitalisation and the Impact of a Standard Care Follow-up Program: a Longitudinal Observational Cohort Study

TypeobservationalSponsorKantonsspital Winterthur KSWRan2020 to 2021Enrolled60ConditionsCovid-19 (New Coronavirus) InfectionArmsPhysical exercise, Education sessions
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 81 citations in OpenAlex.

  1. Trial
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  16. Identifying Comorbid Subtypes of Patients With Acute Respiratory Failure.American journal of critical care : an official publication, American Association of Critical-Care Nurses · 2023
    Article
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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

8 authors at 4 institutions in 1 country.

Sheetal Gandotra1 Pulmonary, Allergy, and Critical Care Medicine, University of Alabama, Birmingham, Alabama.ORCID 0000-0002-5475-9704
James Lovato2 Department of Biostatistical Sciences.
Douglas Case2 Department of Biostatistical Sciences.
Rita N Bakhru3 Pulmonary, Critical Care, Allergy, and Immunologic Disease.
Kevin Gibbs3 Pulmonary, Critical Care, Allergy, and Immunologic Disease.
Michael Berry5 Department of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina; and.
D Clark Files3 Pulmonary, Critical Care, Allergy, and Immunologic Disease.
Peter E Morris6 Division of Pulmonary, Critical Care, and Sleep Medicine, University of Kentucky, Lexington, Kentucky.
Pulmonary and Allergy Associates · USUniversity of Alabama at Birmingham · USUniversity of Kentucky · USWake Forest University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleSurvivorship from critical illness has improved; however, factors mediating the functional recovery of persons experiencing a critical illness remain incompletely understood.

objectivesTo identify groups of acute respiratory failure (ARF) survivors with similar patterns of physical function recovery after discharge and to determine the characteristics associated with group membership in each physical function trajectory group.

methodsWe performed a secondary analysis of a randomized controlled trial, using group-based trajectory modeling to identify distinct subgroups of patients with similar physical function recovery patterns after ARF. Chi-square tests and one-way analysis of variance were used to determine which variables were associated with trajectory membership. A multinomial logistic regression analysis was performed to identify variables jointly associated with trajectory group membership.

resultsA total of 260 patients enrolled in a trial evaluating standardized rehabilitation therapy in patients with ARF and discharged alive (NCT00976833) were included in this analysis. Physical function was quantified using the Short Physical Performance Battery at hospital discharge and 2, 4, and 6 months after enrollment. Latent class analysis of the Short Physical Performance Battery scores identified four trajectory groups. These groups differ in both the degree and rate of physical function recovery. A multinomial logistic regression analysis was performed using covariates that have been previously identified in the literature as influencing recovery after critical illness. By multinomial logistic regression, age (P < 0.001), female sex (P = 0.001), intensive care unit (ICU) length of stay (LOS) (P = 0.003), and continuous intravenous sedation days (P = 0.004) were the variables that jointly influenced trajectory group membership. Participants in the trajectory demonstrating most rapid and complete functional recovery consisted of younger females with fewer continuous sedation days and a shorter LOS. The participant trajectory that failed to functionally recover consisted of older patients with greater sedation time and the longest LOS.

conclusionsWe identified distinct trajectories of physical function recovery after critical illness. Age, sex, continuous sedation time, and ICU length of stay impact the trajectory of functional recovery after critical illness. Further examination of these groups may assist in clinical trial design to tailor interventions to specific subgroups.

Indexed as

Recovery of FunctionAdultAgedChi-Square DistributionCritical CareFemaleHumansIntensive Care UnitsLatent Class AnalysisLength of StayLogistic ModelsMaleMiddle AgedPhysical Therapy ModalitiesRespiratory InsufficiencySex FactorsARDScritical illnessintensive care unitmechanical ventilationskeletal muscle

Identifiers

PMID30571923
PMCPMC6441696
OpenAlexW2905630911

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.