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Understanding pulmonary gas exchange performance is a dynamic process which, depending on clinical context, exhibits different levels of complexity. Global tools such as tension-based indexes yield clinically crucial information under very specific conditions. Yet, accurate mechanistic insight can only originate in model-based tools. Oneparameter models such as shunt or dead space are well established in clinical practice whilst two or three-parameter models have just been advanced and theirdoi:10.5603/ait.a2017.0066 pmid:29165776 fatcat:adxo7zht3vhwvfijjrmjf4edp4