New spectral imaging biomarkers for sepsis and mortality in intensive care
<|reference_start|>New spectral imaging biomarkers for sepsis and mortality in intensive care: With sepsis remaining a leading cause of mortality, early identification of septic patients and those at high risk of death is a challenge of high socioeconomic importance. The driving hypothesis of this study was that hyperspectral imaging (HSI) could provide novel biomarkers for sepsis diagnosis and treatment management due to its potential to monitor microcirculatory alterations. We conducted a comprehensive study involving HSI data of the palm and fingers from more than 480 patients on the day of their intensive care unit (ICU) admission. The findings demonstrate that HSI measurements can predict sepsis with an area under the receiver operating characteristic curve (AUROC) of 0.80 (95 % confidence interval (CI) [0.76; 0.84]) and mortality with an AUROC of 0.72 (95 % CI [0.65; 0.79]). The predictive performance improves substantially when additional clinical data is incorporated, leading to an AUROC of up to 0.94 (95 % CI [0.92; 0.96]) for sepsis and 0.84 (95 % CI [0.78; 0.89]) for mortality. We conclude that HSI presents novel imaging biomarkers for the rapid, non-invasive prediction of sepsis and mortality, suggesting its potential as an important modality for guiding diagnosis and treatment.<|reference_end|>
@article{seidlitz2024new,
    title={New spectral imaging biomarkers for sepsis and mortality in intensive
  care},
    author={Silvia Seidlitz, Katharina H"olzl, Ayca von Garrel, Jan Sellner,
  Stephan Katzenschlager, Tobias H"olle, Dania Fischer, Maik von der Forst,
  Felix C.F. Schmitt, Markus A. Weigand, Lena Maier-Hein, Maximilian Dietrich},
    journal={arXiv preprint arXiv:2408.09873},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.09873},
    primaryClass={cs.LG cs.AI cs.CV eess.IV}
}