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

• 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
• 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.