About: Risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis: a retrospective analysis of the FORECAST study

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About: Risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis: a retrospective analysis of the FORECAST study Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis: a retrospective analysis of the FORECAST study
Creator	Shiino, Yasukazu Kushimoto, Shigeki Abe, Toshikazu Fujishima, Seitaro Hifumi, Toru Iriyama, Hiroki Komori, Akira Kotani, Joji Mayumi, Toshihiko Naito, Toshio Nakada, Taka-Aki Ogura, Hiroshi Okamoto, Kohji Otomo, Yasuhiro Saitoh, Daizoh Shiraishi, Atsushi Tarui, Takehiko Umemura, Yutaka
source	PMC
abstract	BACKGROUND: Predisposing conditions and risk modifiers instead of causes and risk factors have recently been used as alternatives to identify patients at a risk of acute respiratory distress syndrome (ARDS). However, data regarding risk modifiers among patients with non-pulmonary sepsis is rare. METHODS: We conducted a secondary analysis of the multicenter, prospective, Focused Outcomes Research in Emergency Care in Acute Respiratory Distress Syndrome, Sepsis and Trauma (FORECAST) cohort study that was conducted in 59 intensive care units (ICUs) in Japan during January 2016–March 2017. Adult patients with severe sepsis caused by non-pulmonary infection were included, and the primary outcome was having ARDS, defined as meeting the Berlin definition on the first or fourth day of screening. Multivariate logistic regression modeling was used to identify risk modifiers associated with ARDS, and odds ratios (ORs) and their 95% confidence intervals were reported. The following explanatory variables were then assessed: age, sex, admission source, body mass index, smoking status, congestive heart failure, chronic obstructive pulmonary disease, diabetes mellitus, steroid use, statin use, infection site, septic shock, and acute physiology and chronic health evaluation (APACHE) II score. RESULTS: After applying inclusion and exclusion criteria, 594 patients with non-pulmonary sepsis were enrolled, among whom 85 (14.3%) had ARDS. Septic shock was diagnosed in 80% of patients with ARDS and 66% of those without ARDS (p = 0.01). APACHE II scores were higher in patients with ARDS [26 (22–33)] than in those without ARDS [21 (16–28), p < 0.01]. In the multivariate logistic regression model, the following were independently associated with ARDS: ICU admission source [OR, 1.89 (1.06–3.40) for emergency department compared with hospital wards], smoking status [OR, 0.18 (0.06–0.59) for current smoking compared with never smoked], infection site [OR, 2.39 (1.04–5.40) for soft tissue infection compared with abdominal infection], and APACHE II score [OR, 1.08 (1.05–1.12) for higher compared with lower score]. CONCLUSIONS: Soft tissue infection, ICU admission from an emergency department, and a higher APACHE II score appear to be the risk modifiers of ARDS in patients with non-pulmonary sepsis.
has issue date	2020-01-10(xsd:dateTime)
bibo:doi	10.1186/s40560-020-0426-9
bibo:pmid	31938547
has license	cc-by
sha1sum (hex)	52339ad5c27791f45c98f8fa59824ecd72a8ea1b
schema:url	https://doi.org/10.1186/s40560-020-0426-9
resource representing a document's title	Risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis: a retrospective analysis of the FORECAST study
has PubMed Central identifier	PMC6954566
has PubMed identifier	31938547
schema:publication	J Intensive Care
resource representing a document's body	covid:52339ad5c27791f45c98f8fa59824ecd72a8ea1b#body_text
is schema:about of	named entity 'risk' named entity 'logistic regression' named entity 'sepsis' named entity 'ARDS' named entity 'intensive care units' named entity 'site' named entity 'Emergency Care' named entity 'January' named entity 'patients' named entity 'DEFINED' named entity 'OUTCOMES RESEARCH' named entity 'STEROID USE' named entity 'AGE' named entity 'APPLYING' named entity 'EXPLANATORY' named entity 'SEPSIS' named entity '2017' named entity 'risk' named entity 'odds ratios' named entity 'explanatory variables' named entity 'identify' named entity 'modifiers' named entity 'congestive heart failure' named entity 'acute' named entity 'ICUs' named entity 'chronic obstructive pulmonary disease' named entity 'alternatives' named entity 'ARDS' named entity 'ARDS' named entity 'confidence intervals' named entity 'septic shock' named entity 'exclusion criteria' named entity 'secondary analysis' named entity 'age' named entity 'sepsis' named entity 'chronic obstructive pulmonary disease' named entity 'acute respiratory distress syndrome' named entity 'sepsis' named entity 'cohort study' named entity 'confidence intervals' named entity 'diabetes mellitus' named entity 'ARDS' named entity 'Acute Respiratory Distress Syndrome' named entity 'infection' named entity 'Berlin' named entity 'chronic health' named entity 'Predisposing' named entity 'sepsis' named entity 'sensitivity analysis' named entity 'heterogeneity' named entity 'pathophysiologic' named entity 'ARDS' named entity 'ARDS' named entity 'ARDS' named entity 'risk factors' named entity 'systemic inflammation' named entity 'infection' named entity 'ARDS' named entity 'ARDS' named entity 'soft tissue' named entity 'pulmonary infection' named entity 'APACHE II' named entity 'ARDS' named entity 'sepsis'

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