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An evidence based algorithm for nutritional support accompanied by a multifaceted implementation strategy improved some outcomes in critically ill patients

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Q In critically ill patients, does implementation of an evidence based algorithm for nutritional support improve the provision of nutritional support and patient outcomes?

METHODS

Embedded ImageDesign:

cluster randomised controlled trial.

Embedded ImageAllocation:

{concealed}*.

Embedded ImageBlinding:

{unblinded}*.

Embedded ImageFollow up period:

until hospital discharge.

Embedded ImageSetting:

intensive care units (ICUs) of 11 community and 3 teaching hospitals in Ontario, Canada.

Embedded ImagePatients:

499 patients aged ⩾16 years (mean age 66 y, 61% men) with an expected ICU stay of ⩾48 hours. Exclusion criteria: expected to be receiving sufficient oral nutrition within 24 hours after ICU admission, admitted for palliative care, …

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Footnotes

  • * Information provided by author.

  • For correspondence: Dr C M Martin, Department of Medicine, Faculty of Medicine, University of Western Ontario, London, Ontario, Canada. claudio_m_martinhotmail.com

  • Source of funding: Nestlé Nutrition, Inc, Toronto, Ontario.