Girbes, Armand R. J.

Autoantibodies against type I IFNs in patients with life-threatening COVID-19

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Inborn errors of type I IFN immunity in patients with life-threatening COVID-19

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Efficacy and safety of procalcitonin guidance in reducing the duration of antibiotic treatment in critically ill patients: A randomised, controlled, open-label trial.

de Jong, E., van Oers, J. A., Beishuizen, A., Vos, P., Vermeijden, W. J., Haas, L. E., Loef, B. G., Dormans, T., van Melsen, G. C., Kluiters, Y. C., et al. (2016) · The Lancet Infectious Diseases

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Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy

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Afucosylated IgG characterizes enveloped viral responses and correlates with COVID-19 severity

Larsen, M. D., de Graaf, E. L., Sonneveld, M. E., Plomp, H. R., Nouta, J., Hoepel, W., Chen, H.-J., Linty, F., Visser, R., Brinkhaus, M., et al. (2021) · Science

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Optimal Protein and Energy Nutrition Decreases Mortality in Mechanically Ventilated, Critically Ill Patients: A Prospective Observational Cohort Study

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Early high protein intake is associated with low mortality and energy overfeeding with high mortality in non-septic mechanically ventilated critically ill patients

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Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example*

Thoral, P. J., Peppink, J. M., Driessen, R. H., Sijbrands, E. J. G., Kompanje, E. J. O., Kaplan, L., Bailey, H., Kesecioglu, J., Cecconi, M., Churpek, M., et al. (2021) · Critical Care Medicine

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Skeletal muscle quality as assessed by CT-derived skeletal muscle density is associated with 6-month mortality in mechanically ventilated critically ill patients

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Ventilator-derived carbon dioxide production to assess energy expenditure in critically ill patients: proof of concept

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Systematic Review and Comparison of Publicly Available ICU Data Sets—A Decision Guide for Clinicians and Data Scientists

Sauer, C. M., Dam, T. A., Celi, L. A., Faltys, M., de la Hoz, M. A. A., Adhikari, L., Ziesemer, K. A., Girbes, A., Thoral, P. J., & Elbers, P. (2022) · Critical Care Medicine

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Unexplained mortality differences between septic shock trials: a systematic analysis of population characteristics and control-group mortality rates

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Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis

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Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists

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Clinically relevant pharmacokinetic knowledge on antibiotic dosing among intensive care professionals is insufficient: A cross-sectional study.

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