• Inger Persson, Andreas Macura, David Becedas, and Fredrik Sjövall.
• Department of Statistics, Uppsala University, Uppsala, Sweden, AlgoDx AB, Stockholm, Sweden. Electronic address: inger.persson@statistik.uu.se.
• J Crit Care. 2024 Apr 1; 80: 154400154400.

PurposeTo prospectively validate, in an ICU setting, the prognostic accuracy of the sepsis prediction algorithm NAVOY® Sepsis which uses 4 h of input for routinely collected vital parameters, blood gas values, and lab values.Materials And MethodsPatients 18 years or older admitted to the ICU at Skåne University Hospital Malmö from December 2020 to September 2021 were recruited in the study. A total of 304 patients were randomized into one of two groups: Algorithm group with active sepsis alerts, or Standard of care. NAVOY® Sepsis made silent predictions in the Standard of care group, in order to evaluate its performance without disturbing the outcome. The study was blinded, i.e., study personnel did not know to which group patients were randomized. The healthcare provider followed standard practices in assessing possible development of sepsis and intervening accordingly. The patients were followed-up in the study until ICU discharge.ResultsNAVOY® Sepsis could predict the development of sepsis, according to the Sepsis-3 criteria, three hours before sepsis onset with high performance: accuracy 0.79; sensitivity 0.80; and specificity 0.78.ConclusionsThe accuracy, sensitivity, and specificity were all high, validating the prognostic accuracy of NAVOY® Sepsis in an ICU setting, including Covid-19 patients.Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

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