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

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作者
Hiroyuki Hashimoto
Shota Yamamoto
Hiroaki Nakagawa
Yoshihiro Suido
Shintaro Sato
Erina Tabata
Satoshi Okamori
Takuo Yoshida
Koichi Ando
Shigenori Yoshitake
Yohei Okada
机构
[1] Kyoto University,Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health
[2] Tokai University School of Medicine,Department of Radiology, Tokai University Hospital
[3] Shiga University of Medical Science,Division of Respiratory Medicine, Department of Internal Medicine
[4] Asao General Hospital,Department of Respiratory Medicine
[5] Saitama Red Cross Hospital,Department of Respiratory Medicine
[6] Kanagawa Cardiovascular and Respiratory Centre,Department of Respiratory Medicine
[7] Keio University School of Medicine,Division of Pulmonary Medicine, Department of Medicine
[8] Tokyo Women’s Medical University,Department of Intensive Care Medicine
[9] Showa University School of Medicine,Division of Respiratory Medicine and Allergology, Department of Medicine
[10] Kyushu University of Health and Welfare,Department of Health Science
[11] Kyoto University,Department of Primary Care and Emergency Medicine, Graduate School of Medicine
[12] Kyoto University,Department of Preventive Services, Graduate School of Medicine and Public Health
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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.
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