02-05-2024 | Artificial Intelligence | Correspondence
Artificial intelligence as a further step in the detection of dyspnea in the critically ill mechanically ventilated patient
Authors:
Lluis Blanch, Verónica Santos-Pulpón, Oriol Roca, Leonardo Sarlabous, Candelaria de Haro
Published in:
Intensive Care Medicine
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Excerpt
We commend the authors of the statement on dyspnea in acutely ill mechanically ventilated adult patients endorsed by the European Respiratory Society (ERS) and the European Society of Intensive Care Medicine (ESICM) [
1]. This excellent article expounds the societies’ position regarding this important subject reached through combining a comprehensive evidence-based approach with multidisciplinary clinical expertise. Detecting dyspnea and identifying its cause are essential to avoid complications in critically ill patients. The authors point out that dyspnea often goes unnoticed and underline the importance of clinical observation, measuring P0.1, and querying patients with digital analog scales. …