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Gil Ben-Horin Published: Apr 16, 2017
A prospective observational study performed at the surgical and medical ICUs of UZ Leuven in Belgium hypothesised that infected ICU patients can be distinguished from non-infected ICU patients based on dynamic features of serum cytokine concentrations and heart rate time series. The authors used simple metrics to quantify these time series to obtain an accurate classification of infected patients. Heart rate measurements were stored in MetaVision. The authors found that heart rate seemed to be a better marker for infection than information captured by cytokine time series when the exact stage of infection is not known. They propose that the predictive value of (expensive) biomarkers should always be weighed against the routinely monitored data, and that these biomarkers have to demonstrate added value.
Gil Ben-Horin Jacob Krygier is a Clinical Application Specialist at iMDsoft with 20 years of hands-on healthcare experience. His background spans operating rooms, intensive care units, emergency medicine, and medivac air ambulances, with specialized expertise in anesthesia and emergency care.
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