Literature DB >> 30201367

Comparison of accuracy of presepsin and procalcitonin concentrations in diagnosing sepsis in patients with and without acute kidney injury.

Yoshihiko Nakamura1, Kota Hoshino2, Fumiaki Kiyomi3, Yasumasa Kawano2, Mariko Mizunuma2, Junichi Tanaka2, Takeshi Nishida2, Hiroyasu Ishikura2.   

Abstract

BACKGROUND: Levels of the biomarkers presepsin and procalcitonin are affected by renal function. We evaluated the accuracies of presepsin and procalcitonin levels for diagnosing sepsis in patients with and without acute kidney injury (AKI).
METHODS: We evaluated patients with presepsin and procalcitonin data, and classified them into AKI and non-AKI groups based on the Kidney Disease Improving Global Outcomes criteria. Each group was then subdivided according to sepsis status for each stage of AKI. Receiver operating characteristic curve analyses were used to investigate the accuracies of biomarker levels for diagnosing sepsis.
RESULTS: In the non-AKI group, the area under the curves (AUCs) for procalcitonin and presepsin levels were 0.897 and 0.880, respectively (p = .525) and optimal cut-off values were 0.10 ng/ml (sensitivity: 85.1%, specificity: 79.1%) and 240 pg/ml (sensitivity: 80.9%, specificity: 83.2%), respectively. In the stage 3 subgroup, the AUC for procalcitonin (0.946) was significantly higher than that for presepsin (0.768, p < .001). The optimal cut-off values for diagnosing sepsis were 4.07 ng/ml (sensitivity: 87.2%, specificity: 93.5%) for procalcitonin and 500 pg/ml (sensitivity: 89.7%, specificity: 59.7%) for presepsin.
CONCLUSIONS: In patients with severe AKI, the accuracy of the diagnosis of sepsis with procalcitonin was significantly higher than with presepsin.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accuracy; Acute kidney injury; Diagnosis; Kidney Disease Improving Global Outcomes; Sepsis

Mesh:

Substances:

Year:  2018        PMID: 30201367     DOI: 10.1016/j.cca.2018.09.013

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  16 in total

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10.  Prediction of Postoperative Sepsis Based on Changes in Presepsin Levels of Critically Ill Patients with Acute Kidney Injury after Abdominal Surgery.

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