Literature DB >> 29477989

Stability of ARDS subphenotypes over time in two randomised controlled trials.

Kevin Delucchi1, Katie R Famous2, Lorraine B Ware3, Polly E Parsons4, B Taylor Thompson5, Carolyn S Calfee6.   

Abstract

RATIONALE: Two distinct acute respiratory distress syndrome (ARDS) subphenotypes have been identified using data obtained at time of enrolment in clinical trials; it remains unknown if these subphenotypes are durable over time.
OBJECTIVE: To determine the stability of ARDS subphenotypes over time.
METHODS: Secondary analysis of data from two randomised controlled trials in ARDS, the ARMA trial of lung protective ventilation (n=473; patients randomised to low tidal volumes only) and the ALVEOLI trial of low versus high positive end-expiratory pressure (n=549). Latent class analysis (LCA) and latent transition analysis (LTA) were applied to data from day 0 and day 3, independent of clinical outcomes.
MEASUREMENTS AND MAIN RESULTS: In ALVEOLI, LCA indicated strong evidence of two ARDS latent classes at days 0 and 3; in ARMA, evidence of two classes was stronger at day 0 than at day 3. The clinical and biological features of these two classes were similar to those in our prior work and were largely stable over time, though class 2 demonstrated evidence of progressive organ failures by day 3, compared with class 1. In both LCA and LTA models, the majority of patients (>94%) stayed in the same class from day 0 to day 3. Clinical outcomes were statistically significantly worse in class 2 than class 1 and were more strongly associated with day 3 class assignment.
CONCLUSIONS: ARDS subphenotypes are largely stable over the first 3 days of enrolment in two ARDS Network trials, suggesting that subphenotype identification may be feasible in the context of clinical trials. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  acute lung injury; acute respiratory distress syndrome; endotypes; precision medicine; subphenotypes

Mesh:

Substances:

Year:  2018        PMID: 29477989      PMCID: PMC6497167          DOI: 10.1136/thoraxjnl-2017-211090

Source DB:  PubMed          Journal:  Thorax        ISSN: 0040-6376            Impact factor:   9.139


  36 in total

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Review 2.  Phenotypes in acute respiratory distress syndrome: moving towards precision medicine.

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4.  The RNFT2/IL-3Rα axis regulates IL-3 signaling and innate immunity.

Authors:  Yao Tong; Travis B Lear; John Evankovich; Yanwen Chen; James D Londino; Michael M Myerburg; Yingze Zhang; Iulia D Popescu; John F McDyer; Bryan J McVerry; Karina C Lockwood; Michael J Jurczak; Yuan Liu; Bill B Chen
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5.  Peroxidase Sensitive Amplifiable Probe for Molecular Magnetic Resonance Imaging of Pulmonary Inflammation.

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Review 6.  Acute Respiratory Distress Syndrome Phenotypes.

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7.  Toll-like Receptor 8 Stability Is Regulated by Ring Finger 216 in Response to Circulating MicroRNAs.

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8.  Latent class analysis of ARDS subphenotypes: a secondary analysis of the statins for acutely injured lungs from sepsis (SAILS) study.

Authors:  Pratik Sinha; Kevin L Delucchi; B Taylor Thompson; Daniel F McAuley; Michael A Matthay; Carolyn S Calfee
Journal:  Intensive Care Med       Date:  2018-10-05       Impact factor: 17.440

9.  Six-month and 12-month patient outcomes based on inflammatory subphenotypes in sepsis-associated ARDS: secondary analysis of SAILS-ALTOS trial.

Authors:  Mohamed D Hashem; Ramona O Hopkins; Elizabeth Colantuoni; Victor D Dinglas; Pratik Sinha; Lisa Aronson Friedman; Peter E Morris; James C Jackson; Catherine L Hough; Carolyn S Calfee; Dale M Needham
Journal:  Thorax       Date:  2021-06-10       Impact factor: 9.139

10.  Development and validation of parsimonious algorithms to classify acute respiratory distress syndrome phenotypes: a secondary analysis of randomised controlled trials.

Authors:  Pratik Sinha; Kevin L Delucchi; Daniel F McAuley; Cecilia M O'Kane; Michael A Matthay; Carolyn S Calfee
Journal:  Lancet Respir Med       Date:  2020-01-13       Impact factor: 30.700

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