The intensive care unit (ICU) is recognizably detrimental to sleep and circadian health, and critical survivors frequently report the presence of alterations in this regard after hospital discharge. However, an appropriate evaluation of sleep and circadian rhythms is often neglected given the high associated cost and/or the need of collaboration of the patients. In this project, the investigators propose alternatives to ultimately improve the management of sleep and circadian health after critical illness. The researchers will evaluate the role of microRNA (miRNAs) expression profile in identifying the compromised sleep and circadian health of critical patients during the ICU stay, in the short (3 months after hospital discharge), and in the long-term (12 months after hospital discharge). Also, models based on machine learning techniques will be developed to predict adverse outcomes in this regard after hospital discharge.
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Sleep efficiency
Timeframe: 12-month follow-up
Circadian function index (CFI)
Timeframe: 12-month follow-up