@inbook{e4fb3a2ec56541b496a58087f97a2e1c,
title = "Microfluidic chips for sepsis diagnosis",
abstract = "This chapter discusses two microfluidic-based approaches for early sepsis detection that achieve a higher accuracy than traditional blood culture analysis. Patient blood samples were included in this work to validate the performance of our chips in diagnosing sepsis. The single-parameter chip demonstrated the increased accuracy if using CD64 as a biomarker for sepsis detection compared with C-reactive protein (CRP) and procalcitonin (PCT) when applied alone. In addition, a multiparameter chip measuring a combined panel of CD25, CD64, and CD69, and achieved a high accuracy with an Area Under the Receiver Operating Characteristic Curve (AUROC) of 0.978. The combined panel was also able to detect culture-negative patients and provided a faster diagnosis. Besides, microfluidics has advantages of less time consuming, easier to manufacture, less sample loading, less complex, and portable. Therefore, our approach is of great potential to become a bedside sepsis detection method.",
keywords = "Biomarker, Microfluidic chip, Sepsis diagnosis",
author = "Yun Zhou and Yijia Yang and Dimitri Pappas",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media, LLC, part of Springer Nature 2021.",
year = "2021",
doi = "10.1007/978-1-0716-1488-4_18",
language = "English",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "207--219",
booktitle = "Methods in Molecular Biology",
}