The obesity paradox in critically ill patients: a causal learning approach to a casual finding

Background While obesity confers an increased risk of death in the general population, numerous studies have reported an association between obesity and improved survival among critically ill patients. This contrary finding has been referred to as the obesity paradox. In this retrospective study, tw...

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Bibliographic Details
Published in:	Critical care (London, England) Vol. 24; no. 1; pp. 1 - 11
Main Authors:	Decruyenaere, Alexander, Steen, Johan, Colpaert, Kirsten, Benoit, Dominique D., Decruyenaere, Johan, Vansteelandt, Stijn
Format:	Journal Article
Language:	English
Published:	London BioMed Central 05.08.2020 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Analysis Bias Body mass index Cardiovascular disease Causality Chronic illnesses Confounding Critical care Critical Care Medicine Diabetes Emergency Medicine Ethnicity Information systems Intensive Intensive care Kidney diseases Machine learning Medical prognosis Medicine Medicine & Public Health Mortality Obesity Paradox Patients Selection bias Variables Weight control Super learning Obesity Paradox Mortality Machine learning Confounding Selection bias Causality Targeted learning
ISSN:	1364-8535, 1466-609X, 1364-8535, 1366-609X, 1466-609X
Online Access:	Get full text
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