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- W2016598530 abstract "Hypothesis: Infection leading to organ failure kills more critically ill patients than any other cause. Early diagnosis of infection leading to timely antibiotics and resuscitation saves both patient lives and costs of care; however current techniques to diagnose infection are imprecise, insensitive and frequently late manifestations of infection. To address this problem, our aim is to uncover hidden information contained within cardiac interbeat-interval time series using advanced mathematical analysis rooted in complex systems science. Previous work has demonstrated altered heart rate variability (HRV) in patients with infection (more regular, less complex cardiac variation); not only is HRV altered with infection, the degree of HRV alteration also correlates with its severity. Building upon these results, our principal objective is to perform continuous HRV monitoring in adult patients at high risk for infection, and evaluate the hypothesis that change in HRV precedes traditional markers of infection." @default.
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- W2016598530 date "2008-06-01" @default.
- W2016598530 modified "2023-09-25" @default.
- W2016598530 title "Early detection of infection with continuous heart rate variability analysis in neutropenic patients" @default.
- W2016598530 doi "https://doi.org/10.1016/j.jcrc.2008.03.014" @default.
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