The role of lactate for sepsis in polytrauma patients, a time related analysis using th IBM Watson trauma pathway explorer

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VETTER Philipp MICA Ladislav NIGGLI Cedric CHALOUPKA Richard HAMBRECHT Jan NIGGLI Philipp VOMELA Jindřich PAPE Hans-Christoph

Rok publikování 2022
Druh Článek v odborném periodiku
Časopis / Zdroj Journal of Surgery and Research
Fakulta / Pracoviště MU

Lékařská fakulta

Citace
Doi http://dx.doi.org/10.26502/jsr.10020268
Klíčová slova Watson trauma pathwas explorer, artificial intelligence, lactate, prediction, sepsis, polytrauma
Přiložené soubory
Popis Lactate represented an independent predictor for sepsis from 12 to 48 h and 14 d to 21 d after admission relative to ISS levels. AUROC was poor at 2 and 12 h after admission with a slight improvement at the 12 h mark. Lactate levels decreased over time at a range of 2 [mmol/L] for 6-8 h after admission. These insights may allow for time-dependent referencing of lactate levels and anticipation of subsequent sepsis, although further parameters must be considered for a higher predictability.

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