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Comment
. 2024 Jul 29;28(1):257.
doi: 10.1186/s13054-024-05044-5.

LUS me up: elevating ARDS diagnosis

Affiliations
Comment

LUS me up: elevating ARDS diagnosis

Rogério da Hora Passos et al. Crit Care. .

Abstract

Boumans et al. conducted a systematic review and meta-analysis to evaluate the diagnostic accuracy of lung ultrasound (LUS) in acute respiratory distress syndrome (ARDS). The study found that LUS has high specificity (0.942, 95% CI 0.856-0.978) but variable sensitivity (0.631, 95% CI 0.450-0.782) for identifying ARDS-related diffuse lung pathologies. LUS demonstrates comparable or superior performance to chest radiography and CT scans, facilitating rapid bedside diagnosis and management. However, variability in operator experience and interpretation criteria, as well as challenges in detecting mild or early-stage ARDS, remain. The study highlights the need for further research to refine LUS protocols and training, enhancing its application in clinical practice and improving patient outcomes.

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Conflict of interest statement

The authors declare that they have no competing interests.

Comment on

References

    1. Boumans MMA, Aerts W, Pisani L, Bos LDJ, Smit MR, Tuinman PR. Diagnostic accuracy of lung ultrasound in diagnosis of ARDS and identification of focal or non-focal ARDS subphenotypes: a systematic review and meta-analysis. Crit Care Lond Engl. 2024;28:224. - PMC - PubMed
    1. Ware LB. Improving acute respiratory distress syndrome diagnosis: Is lung ultrasound the answer? Am J Respir Crit Care Med. 2023;207:1548–9. - PMC - PubMed
    1. Smit MR, Hagens LA, Heijnen NFL, Pisani L, Cherpanath TGV, Dongelmans DA, et al. Lung ultrasound prediction model for acute respiratory distress syndrome: a multicenter prospective observational study. Am J Respir Crit Care Med. 2023;207:1591–601. - PMC - PubMed
    1. Smit MR, Mayo PH, Mongodi S. Lung ultrasound for diagnosis and management of ARDS. Intensive Care Med. 2024;50:1143–5. - PubMed

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