Estimating the association between antibiotic exposure and colonization with extended-spectrum β-lactamase-producing Gram-negative bacteria using machine learning methods: a multicentre, prospective cohort study.

Journal: Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
PMID:

Abstract

OBJECTIVES: The aim of the study was to measure the impact of antibiotic exposure on the acquisition of colonization with extended-spectrum β-lactamase-producing Gram-negative bacteria (ESBL-GNB) accounting for individual- and group-level confounding using machine-learning methods.

Authors

  • E Tacconelli
    Division of Infectious Disease, Department of Internal Medicine I, Tübingen University Hospital, Tübingen, Germany; Division of Infectious Diseases, Department of Diagnostic and Public Health, University of Verona, Italy. Electronic address: Evelina.Tacconelli@med.uni-tuebingen.de.
  • A Górska
    Algorithms in Bioinformatics, University of Tübingen and International Max Planck Research School, Tübingen, Germany.
  • G De Angelis
    Institute of Microbiology, Fondazione Policlinico Universitario A. Gemelli IRCCS - Università Cattolica del Sacro Cuore, Rome, Italy.
  • C Lammens
    Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
  • G Restuccia
    Department of Anaesthesiology and Intensive Care Medicine, University of Catania, Catania, Italy.
  • J Schrenzel
    Bacteriology Laboratory, Service of Infectious Diseases, University of Geneva Hospitals and Medical Faculty, Geneva, Switzerland.
  • D H Huson
    Algorithms in Bioinformatics, University of Tübingen and International Max Planck Research School, Tübingen, Germany.
  • B Carević
    Department for Hospital Epidemiology, Clinical Centre of Serbia, Belgrade, Serbia.
  • L Preoţescu
    National Institute for Infectious Diseases, University of Medicine 'Carol Davila', Bucharest, Romania.
  • Y Carmeli
    Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; National Centre for Infection Control, Israel Ministry of Health, Tel Aviv, Israel.
  • M Kazma
    Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; National Centre for Infection Control, Israel Ministry of Health, Tel Aviv, Israel.
  • T Spanu
    Institute of Microbiology, Fondazione Policlinico Universitario A. Gemelli IRCCS - Università Cattolica del Sacro Cuore, Rome, Italy.
  • E Carrara
    Division of Infectious Diseases, Department of Diagnostic and Public Health, University of Verona, Italy.
  • S Malhotra-Kumar
    Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
  • B P Gladstone
    Division of Infectious Disease, Department of Internal Medicine I, Tübingen University Hospital, Tübingen, Germany.