Publications by authors named "Brett Biebelberg"

Many early warning algorithms are downstream of clinical evaluation and diagnostic testing, which means that they may not be useful when clinicians fail to suspect illness and fail to order appropriate tests. Depending on how such algorithms handle missing data, they could even indicate "low risk" simply because the testing data were never ordered. We considered predictive methodologies to identify sepsis at triage, before diagnostic tests are ordered, in a busy Emergency Department (ED).

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Hospital-acquired rates among coronavirus disease 2019 (COVID-19) patients were initially higher at a hospital with high negative-pressure room utilization compared to a similar hospital with low utilization but with otherwise identical infection control policies. After the index hospital decreased negative-pressure utilization, hospital-acquired case rates at the 2 hospitals converged.

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Article Synopsis
  • The study aimed to analyze how vasopressor initiation timing in sepsis patients in the Emergency Department (ED) aligns with usual care practices by validating a multivariable model.
  • Researchers reviewed the cases of 1,629 critically ill adult patients from a larger pool of 55,963, using six key health indicators to predict the need for vasopressors.
  • The model showed good predictive ability, with an area under the curve of 0.81 overall, indicating a median advance detection time of about 170.5 minutes for vasopressor necessity.
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