Abstract BACKGROUND: Mortality prognostication in adult patients requiring extracorporeal membrane oxygenation (ECMO) is not accurate or established. We hypothesized that composite lactate-based metrics and machine-learning models would improve in-hospital mortality..
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Abstract Background Extracorporeal Membrane Oxygenation (ECMO) is a critical support system for patients with acute and severe cardiac and respiratory failure. This study investigates the impact of different patient body..
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