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

Varování

Publikace nespadá pod Fakultu sportovních studií, ale pod Lékařskou fakultu. Oficiální stránka publikace je na webu muni.cz.

Autoři	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	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
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.