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

Year of publication 2022
Type Article in Periodical
Magazine / Source Journal of Surgery and Research
MU Faculty or unit

Faculty of Medicine

Keywords Watson trauma pathwas explorer, artificial intelligence, lactate, prediction, sepsis, polytrauma
Attached files
Description 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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