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Uncategorized Published - 11 June, 2020    By - Dr Clemens
Prediction of an Acute Hypotensive Episode During an ICU Hospitalization With a Super Learner Machine-Learning Algorithm

AUTHORS: Cherifa, Ményssa MSc et al Anesthesia & Analgesia: May 2020 – Volume 130 – Issue 5 – p 1157-1166 BACKGROUND:  Acute hypotensive episodes (AHE), defined as a drop in the mean arterial pressure (MAP) <65 mm Hg lasting at least 5 consecutive minutes, are among the most critical events in the intensive care unit […]

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Uncategorized Published - 11 June, 2020    By - Dr Clemens
Parsimony of Hemodynamic Monitoring Data Sufficient for the Detection of Hemorrhage

AUTHORS: Pinsky, Michael R. MD et al Anesthesia & Analgesia: May 2020 – Volume 130 – Issue 5 – p 1176-1187 BACKGROUND:  Individualized hemodynamic monitoring approaches are not well validated. Thus, we evaluated the discriminative performance improvement that might occur when moving from noninvasive monitoring (NIM) to invasive monitoring and with increasing levels of featurization […]

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Uncategorized Published - 11 June, 2020    By - Dr Clemens
Forecasting a Crisis: Machine-Learning Models Predict Occurrence of Intraoperative Bradycardia Associated With Hypotension

AUTHORS: Solomon, Stuart C. MD et al Anesthesia & Analgesia: May 2020 – Volume 130 – Issue 5 – p 1201-1210 BACKGROUND:  Predictive analytics systems may improve perioperative care by enhancing preparation for, recognition of, and response to high-risk clinical events. Bradycardia is a fairly common and unpredictable clinical event with many causes; it may […]

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Uncategorized Published - 11 June, 2020    By - Dr Clemens
COVID-19: Guidance on Antibody Tests / N95 Sterilization / Loss of Smell & Taste / Prevalence in OB Patients

NEJM Journal Watch By Amy Orciari Herman Edited by David G. Fairchild, MD, MPH, and Lorenzo Di Francesco, MD, FACP, FHM Some of the latest developments in novel coronavirus disease (COVID-19): CDC guidance on antibody testing: The CDC has issued interim guidance on testing for SARS-CoV-2 antibodies. Among the recommendations: serologic assays that have received emergency use authorization […]

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Uncategorized Published - 11 June, 2020    By - Dr Clemens
Electronic health records fail to detect up to 33% of medication errors

By University of Utah Health Sciences Despite improvements in their performance over the past decade, electronic health records (EHRs) commonly used in hospitals nationwide fail to detect up to one in three potentially harmful drug interactions and other medication errors, according to scientists at University of Utah Health, Harvard University, and Brigham and Women’s Hospital […]

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