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

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Authors	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
Citation
Doi	https://doi.org/10.26502/jsr.10020268
Keywords	Watson trauma pathwas explorer, artificial intelligence, lactate, prediction, sepsis, polytrauma
Attached files	the-role-of-lactate-for-sepsis-in-polytrauma-patients-a-time-related-analysis-using-the-ibm__1_.pdf the-role-of-lactate-for-sepsis-in-polytrauma-patients-a-time-related-analysis-using-the-ibm__1__aiytquse.pdf
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.