論文

査読有り 国際誌
2022年6月10日

Predictive value of computed tomography for short-term mortality in patients with acute respiratory distress syndrome: a systematic review.

Scientific reports
  • Hiroyuki Hashimoto
  • Shota Yamamoto
  • Hiroaki Nakagawa
  • Yoshihiro Suido
  • Shintaro Sato
  • Erina Tabata
  • Satoshi Okamori
  • Takuo Yoshida
  • Koichi Ando
  • Shigenori Yoshitake
  • Yohei Okada
  • 全て表示

12
1
開始ページ
9579
終了ページ
9579
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1038/s41598-022-13972-x

The best available evidence and the predictive value of computed tomography (CT) findings for prognosis in patients with acute respiratory distress syndrome (ARDS) are unknown. We systematically searched three electronic databases (MEDLINE, CENTRAL, and ClinicalTrials.gov). A total of 410 patients from six observational studies were included in this systematic review. Of these, 143 patients (34.9%) died due to ARDS in short-term. As for CT grade, the CTs used ranged from 4- to 320-row. The index test included diffuse attenuations in one study, affected lung in one study, well-aerated lung region/predicted total lung capacity in one study, CT score in one study and high-resolution CT score in two studies. Considering the CT findings, pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 62% (95% confidence interval [CI] 30-88%), 76% (95% CI 57-89%), 2.58 (95% CI 2.05-2.73), 0.50 (95% CI 0.21-0.79), and 5.16 (95% CI 2.59-3.46), respectively. This systematic review revealed that there were major differences in the definitions of CT findings, and that the integration of CT findings might not be adequate for predicting short-term mortality in ARDS. Standardisation of CT findings and accumulation of further studies by CT with unified standards are warranted.

リンク情報
DOI
https://doi.org/10.1038/s41598-022-13972-x
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/35689019
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185136
ID情報
  • DOI : 10.1038/s41598-022-13972-x
  • PubMed ID : 35689019
  • PubMed Central 記事ID : PMC9185136

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