TY - JOUR
T1 - Risk modifiers of acute respiratory distress syndrome in patients with non-pulmonary sepsis
T2 - A retrospective analysis of the FORECAST study
AU - on behalf of JAAM FORECAST group
AU - Iriyama, Hiroki
AU - Abe, Toshikazu
AU - Kushimoto, Shigeki
AU - Fujishima, Seitaro
AU - Ogura, Hiroshi
AU - Shiraishi, Atsushi
AU - Saitoh, Daizoh
AU - Mayumi, Toshihiko
AU - Naito, Toshio
AU - Komori, Akira
AU - Hifumi, Toru
AU - Shiino, Yasukazu
AU - Nakada, Taka Aki
AU - Tarui, Takehiko
AU - Otomo, Yasuhiro
AU - Okamoto, Kohji
AU - Umemura, Yutaka
AU - Kotani, Joji
AU - Sakamoto, Yuichiro
AU - Sasaki, Junichi
AU - Shiraishi, Shin Ichiro
AU - Takuma, Kiyotsugu
AU - Tsuruta, Ryosuke
AU - Hagiwara, Akiyoshi
AU - Yamakawa, Kazuma
AU - Masuno, Tomohiko
AU - Takeyama, Naoshi
AU - Yamashita, Norio
AU - Ikeda, Hiroto
AU - Ueyama, Masashi
AU - Fujimi, Satoshi
AU - Gando, Satoshi
N1 - Publisher Copyright:
© 2020 The Author(s).
PY - 2020/1/10
Y1 - 2020/1/10
N2 - 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.
AB - 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.
KW - Acute respiratory distress syndrome
KW - acute respiratory failure
KW - sepsis
UR - http://www.scopus.com/inward/record.url?scp=85078232104&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85078232104&partnerID=8YFLogxK
U2 - 10.1186/s40560-020-0426-9
DO - 10.1186/s40560-020-0426-9
M3 - Article
AN - SCOPUS:85078232104
SN - 2052-0492
VL - 8
JO - Journal of Intensive Care
JF - Journal of Intensive Care
IS - 1
M1 - 7
ER -