Journal of Intensive Care (Jan 2020)

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

  • Hiroki Iriyama,
  • Toshikazu Abe,
  • Shigeki Kushimoto,
  • Seitaro Fujishima,
  • Hiroshi Ogura,
  • Atsushi Shiraishi,
  • Daizoh Saitoh,
  • Toshihiko Mayumi,
  • Toshio Naito,
  • Akira Komori,
  • Toru Hifumi,
  • Yasukazu Shiino,
  • Taka-aki Nakada,
  • Takehiko Tarui,
  • Yasuhiro Otomo,
  • Kohji Okamoto,
  • Yutaka Umemura,
  • Joji Kotani,
  • Yuichiro Sakamoto,
  • Junichi Sasaki,
  • Shin-ichiro Shiraishi,
  • Kiyotsugu Takuma,
  • Ryosuke Tsuruta,
  • Akiyoshi Hagiwara,
  • Kazuma Yamakawa,
  • Tomohiko Masuno,
  • Naoshi Takeyama,
  • Norio Yamashita,
  • Hiroto Ikeda,
  • Masashi Ueyama,
  • Satoshi Fujimi,
  • Satoshi Gando,
  • on behalf of JAAM FORECAST group

DOI
https://doi.org/10.1186/s40560-020-0426-9
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 9

Abstract

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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.

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