Temperature curve complexity predicts survival in critically ill patients

Manuel Varela1, Juan Churruca, Ana Gonzalez

  • 1Servicio de Medicina Interna, and Unidad de Cuidados Intensivos, Hospital de Mostoles, Mostoles, Madrid, Spain. mvarela.hmtl@salud.madrid.org

Summary

Temperature curve complexity analysis, using approximate entropy (ApEn) and detrended fluctuation analysis (DFA), predicts clinical outcomes in critically ill patients. Lower complexity indicates a poorer prognosis, comparable to the SOFA score.

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