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Lung ultrasound: Predictor of acute respiratory distress syndrome in intensive care unit patients
Ying Zhou1, Qianqian Fan2, Omer Cavus3, Xuezheng Zhang4
1 Department of Anesthesiology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA; Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
2 Department of Anesthesiology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA; Department of Anesthesiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
3 Department of Anesthesiology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
4 Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
Correspondence Address:
Dr. Xuezheng Zhang
Department of Anesthesiology, First Affiliated Hospital of Wenzhou Medical University, 637 South Baixiang Street, Wenzhou, Zhejiang 325000
China
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/sja.SJA_73_18
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Purpose: The purpose of the study was to review and summarize current literature concerning the validation and application of lung ultrasound (LUS) in critically ill patients with acute respiratory distress syndrome (ARDS).
Materials and Methods: An extensive literature search was conducted using PubMed, Cochrane Review, Google Scholar, and Ohio State University Link based on the question if LUS should be considered a reliable investigational technique for ARDS diagnosis, treatment, and prognosis in pediatric and adult population.
Results: LUS has been successfully validated for facilitating early diagnosis and diagnosis of simultaneous lung conditions, predicting lung recruitment treatment effect, and evaluating the prognosis in ARDS patients. Whether lung US is a useful tool in the prediction of prone position and oxygenation response in patients with ARDS is conflicting.
Conclusions: LUS is a noninvasive, radiation-free, cheap, and easy to perform tool for critically ill patients with ARDS and might be a promising technique used in the Intensive Care Unit for ARDS management.
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