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Risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis: a retrospective analysis of the FORECAST study
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. MET...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954566/ https://www.ncbi.nlm.nih.gov/pubmed/31938547 http://dx.doi.org/10.1186/s40560-020-0426-9 |
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author | Iriyama, Hiroki Abe, Toshikazu Kushimoto, Shigeki Fujishima, Seitaro Ogura, Hiroshi Shiraishi, Atsushi Saitoh, Daizoh Mayumi, Toshihiko Naito, Toshio Komori, Akira Hifumi, Toru Shiino, Yasukazu Nakada, Taka-aki Tarui, Takehiko Otomo, Yasuhiro Okamoto, Kohji Umemura, Yutaka Kotani, Joji Sakamoto, Yuichiro Sasaki, Junichi Shiraishi, Shin-ichiro Takuma, Kiyotsugu Tsuruta, Ryosuke Hagiwara, Akiyoshi Yamakawa, Kazuma Masuno, Tomohiko Takeyama, Naoshi Yamashita, Norio Ikeda, Hiroto Ueyama, Masashi Fujimi, Satoshi Gando, Satoshi |
author_facet | Iriyama, Hiroki Abe, Toshikazu Kushimoto, Shigeki Fujishima, Seitaro Ogura, Hiroshi Shiraishi, Atsushi Saitoh, Daizoh Mayumi, Toshihiko Naito, Toshio Komori, Akira Hifumi, Toru Shiino, Yasukazu Nakada, Taka-aki Tarui, Takehiko Otomo, Yasuhiro Okamoto, Kohji Umemura, Yutaka Kotani, Joji Sakamoto, Yuichiro Sasaki, Junichi Shiraishi, Shin-ichiro Takuma, Kiyotsugu Tsuruta, Ryosuke Hagiwara, Akiyoshi Yamakawa, Kazuma Masuno, Tomohiko Takeyama, Naoshi Yamashita, Norio Ikeda, Hiroto Ueyama, Masashi Fujimi, Satoshi Gando, Satoshi |
author_sort | Iriyama, Hiroki |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6954566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69545662020-01-14 Risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis: a retrospective analysis of the FORECAST study Iriyama, Hiroki Abe, Toshikazu Kushimoto, Shigeki Fujishima, Seitaro Ogura, Hiroshi Shiraishi, Atsushi Saitoh, Daizoh Mayumi, Toshihiko Naito, Toshio Komori, Akira Hifumi, Toru Shiino, Yasukazu Nakada, Taka-aki Tarui, Takehiko Otomo, Yasuhiro Okamoto, Kohji Umemura, Yutaka Kotani, Joji Sakamoto, Yuichiro Sasaki, Junichi Shiraishi, Shin-ichiro Takuma, Kiyotsugu Tsuruta, Ryosuke Hagiwara, Akiyoshi Yamakawa, Kazuma Masuno, Tomohiko Takeyama, Naoshi Yamashita, Norio Ikeda, Hiroto Ueyama, Masashi Fujimi, Satoshi Gando, Satoshi J Intensive Care Research 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. BioMed Central 2020-01-10 /pmc/articles/PMC6954566/ /pubmed/31938547 http://dx.doi.org/10.1186/s40560-020-0426-9 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Iriyama, Hiroki Abe, Toshikazu Kushimoto, Shigeki Fujishima, Seitaro Ogura, Hiroshi Shiraishi, Atsushi Saitoh, Daizoh Mayumi, Toshihiko Naito, Toshio Komori, Akira Hifumi, Toru Shiino, Yasukazu Nakada, Taka-aki Tarui, Takehiko Otomo, Yasuhiro Okamoto, Kohji Umemura, Yutaka Kotani, Joji Sakamoto, Yuichiro Sasaki, Junichi Shiraishi, Shin-ichiro Takuma, Kiyotsugu Tsuruta, Ryosuke Hagiwara, Akiyoshi Yamakawa, Kazuma Masuno, Tomohiko Takeyama, Naoshi Yamashita, Norio Ikeda, Hiroto Ueyama, Masashi Fujimi, Satoshi Gando, Satoshi Risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis: a retrospective analysis of the FORECAST study |
title | Risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis: a retrospective analysis of the FORECAST study |
title_full | Risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis: a retrospective analysis of the FORECAST study |
title_fullStr | Risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis: a retrospective analysis of the FORECAST study |
title_full_unstemmed | Risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis: a retrospective analysis of the FORECAST study |
title_short | Risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis: a retrospective analysis of the FORECAST study |
title_sort | risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis: a retrospective analysis of the forecast study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954566/ https://www.ncbi.nlm.nih.gov/pubmed/31938547 http://dx.doi.org/10.1186/s40560-020-0426-9 |
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