Heterogeneous effects of alveolar recruitment in acute respiratory distress syndrome: a machine learning reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial.

Journal: British journal of anaesthesia
PMID: 30961913

Abstract

BACKGROUND: Despite a robust physiological rationale, recruitment manoeuvres with PEEP titration were associated with harm in the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial (ART). We sought to investigate the potential heterogeneity in treatment effects in patients enrolled in the ART, using a machine learning approach.

Authors

  • Fernando G Zampieri
    Research Institute, HCor-Hospital do Coração, São Paulo, Brazil; Research Division, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil. Electronic address: fgzampieri@gmail.com.
  • Eduardo L Costa
    Respiratory Intensive Care Unit, Hospital das Clínicas, University of São Paulo School of Medicine, São Paulo, Brazil.
  • Theodore J Iwashyna
    Center for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, MI.
  • Carlos R R Carvalho
    Respiratory Intensive Care Unit, Hospital das Clínicas, University of São Paulo School of Medicine, São Paulo, Brazil.
  • Lucas P Damiani
    Research Institute, HCor-Hospital do Coração, São Paulo, Brazil.
  • Leandro U Taniguchi
    Intensive Care Unit, Emergency Medicine Discipline, University of São Paulo, São Paulo, Brazil; Research Institute, Hospital Sírio Libanês, São Paulo, Brazil.
  • Marcelo B P Amato
    Respiratory Intensive Care Unit, Hospital das Clínicas, University of São Paulo School of Medicine, São Paulo, Brazil.
  • Alexandre B Cavalcanti
    Research Institute, HCor-Hospital do Coração, São Paulo, Brazil.

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