Evidence map›Paper›PMID 34419426›Full record

ArticleChest2022

Understanding Patients' Perceived Health After Critical Illness: Analysis of Two Prospective, Longitudinal Studies of ARDS Survivors.

Alison E Turnbull, Hongkai Ji, Victor D Dinglas, Albert W Wu, Pedro A Mendez-Tellez, Cheryl Dennison Himmelfarb, Carl B Shanholtz, Megan M Hosey, Ramona O Hopkins, Dale M Needham

Abstract readMulticenter Study
In one paragraph

Article in Chest, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. 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

10 authors.

Alison E TurnbullOutcomes After Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, MD; Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD. Electronic address: turnbull@jhmi.edu.
Hongkai JiDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.
Victor D DinglasOutcomes After Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, MD; Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD.
Albert W WuCenter for Health Services and Outcomes Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Division of General Internal Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD.
Pedro A Mendez-TellezOutcomes After Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, MD; Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD.
Cheryl Dennison HimmelfarbOffice for Science and Innovation, Johns Hopkins School of Nursing, Johns Hopkins University, Baltimore, MD.
Carl B ShanholtzDivision of Pulmonary and Critical Care Medicine, University of Maryland, Baltimore, MD.
Megan M HoseyOutcomes After Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, MD; Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Physical Medicine and Rehabilitation, School of Medicine, Johns Hopkins University, Baltimore, MD.
Ramona O HopkinsCenter for Humanizing Critical Care, Intermountain Healthcare, Murray, UT; Psychology Department and Neuroscience Center, Brigham Young University, Provo, UT.
Dale M NeedhamOutcomes After Critical Illness and Surgery (OACIS) Group, Johns Hopkins University, Baltimore, MD; Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Physical Medicine and Rehabilitation, School of Medicine, Johns Hopkins University, Baltimore, MD.

Funding

VENTILATOR ASSOCIATED LUNG INJURY: MOLECULAR APPROACHESP50HL073994 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI PRONOVOST, PETER J · 2003 to 2007
$21.3M
Institute for Clinical and Translational ResearchUL1TR000424 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2012 to 2012
$6.0M
Improving Long-Term Physical and Mental Health after Acute Lung InjuryR01HL088045 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI NEEDHAM, DALE MURRAY, PRONOVOST, PETER J. · 2008 to 2011
$3.1M
Patient Outcomes 6 and 12 Months After ALTA, OMEGA and EDEN ARDS Network TrialsR01HL091760 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HOPKINS, RAMONA O, NEEDHAM, DALE MURRAY · 2008 to 2011
$2.0M
Five Year Outcomes from Acute Lung InjuryK24HL088551 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI PRONOVOST, PETER J. · 2009 to 2013
$975k
Understanding Response Shift in Acute Respiratory Distress Syndrome (ARDS) survivorsK01HL141637 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TURNBULL, ALISON · 2018 to 2022
$853k
VITAMIN C, GLUTATHIONE, AND ENDOTHELIAL CELL FUNCTIONR01HL056170 · NHLBI · OREGON STATE UNIVERSITY · PI FREI, BALZ B · 1996 to 1999
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NCATS NIH HHS UL1 TR000424NHLBI NIH HHS K01 HL141637NHLBI NIH HHS K24 HL088551NHLBI NIH HHS N01 HR056170NHLBI NIH HHS P50 HL073994NHLBI NIH HHS R01 HL088045NHLBI NIH HHS R01 HL091760
6 · The paper itself

Abstract

backgroundPerceived health is one of the strongest determinants of subjective well-being, but it has received little attention among survivors of ARDS. RESEARCH QUESTION: How well do self-reported measures of physical, emotional, and social functioning predict perceived overall health (measured using the EQ-5D visual analog scale [EQ-5D-VAS]) among adult survivors of ARDS? Are demographic features, comorbidity, or severity of illness correlated with perceived health after controlling for self-reported functioning? STUDY DESIGN AND

methodsWe analyzed the ARDSNet Long Term Outcomes Study (ALTOS) and Improving Care of Acute Lung Injury Patients (ICAP) Study, two longitudinal cohorts with a total of 823 survivors from 44 US hospitals, which prospectively assessed survivors at 6 and 12 months after ARDS. Perceived health, evaluated using the EQ-5D-VAS, was predicted using ridge regression and self-reported measures of physical, emotional, and social functioning. The difference between observed and predicted perceived health was termed perspective deviation (PD). Correlations between PD and demographics, comorbidities, and severity of illness were explored.

resultsThe correlation between observed and predicted EQ-5D-VAS scores ranged from 0.68 to 0.73 across the two cohorts and time points. PD ranged from -80 to +34 and was more than the minimum clinically important difference for 52% to 55% of survivors. Neither demographic features, comorbidity, nor severity of illness were correlated strongly with PD, with |r| < 0.25 for all continuous variables in both cohorts and time points. The correlation between PD at 6- and 12-month assessments was weak (ALTOS: r = 0.22, P < .001; ICAP: r = 0.20, P = .02).

interpretationAbout half of survivors of ARDS showed clinically important differences in actual perceived health vs predicted perceived health based on self-reported measures of functioning. Survivors of ARDS demographic features, comorbidities, and severity of illness were correlated only weakly with perceived health after controlling for measures of perceived functioning, highlighting the challenge of predicting how individual patients will respond psychologically to new impairments after critical illness.

Indexed as

AdultCritical IllnessFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesRespiratory Distress SyndromeSelf ReportSurvivorsUnited Statescritical care outcomesfunctional statusrespiratory distress syndromesurvivorship

Identifiers

PMID34419426
PMCPMC8941599

What OpenQuestion holds

Textmetadata
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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.