Septic shock prediction algorithms in the critically ill
Severe sepsis and septic shock remain major causes of mortality in both ICU and generally in the acute hospital population. With up to 10% of all ICU admissions suffering sepsis, and up to 1 in 4 in hospital deaths resulting from infection, it remains an ever present issue in acute healthcare, despite advances in recent years. The current study by Datarwe research partners [at the Gold Coast University Hospital in collaboration with Griffith University and GE Healthcare] will describe the characteristics of currently available sepsis prediction algorithms in ICU patients, as applied retrospectively to the adult patient database. Algorithms available to date have only been tested in limited environments, and thus elucidating their utility in a wider environment will be critical to their more widespread acceptance.
Using Heart Rate Variability for outcome prediction
Heart rate variability is finding utility in a number of clinical areas, from training athletes and detecting fatigue,to predicting sepsis and trauma outcomes. This has been made possible by increasing access to the requisite high frequency ECG signals from which accurate instantaneous heart rate and thus beat-to-beat variability can be derived. At Datarwe we are already working on using measures of HRV to help predict outcomes from severe acquired brain injuries (such as trauma, and sub-arachnoid haemorrhage), and are continuing to collect data across other diagnosis areas to further examine the additional utility of this measurement in determining treatment and outcomes in the critically ill.
Methods for evaluating blood saturation variation during intubation
Patients requiring emergency tracheal intubation may be at greater risk of acute hypoxemic events due to a number of factors including underlying lung pathology, insufficient respiratory drive or the inability to prevent aspiration. Emergency tracheal intubation is often required before complete information needed to assess the risk of hypoxia, and this study will review retrospective data acquired from a range of methodologies for monitoring blood saturations during procedural intubation.