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Search Results for Early warning score
Oral Presentations
Abstract Number: Oral
THE PROGNOSTIC VALUE OF SEPSIS-3 CRITERIA: DO “BIG DATA” STUDIES SYSTEMATICALLY OVERESTIMATE IT?
Hospital Medicine 2020, Virtual Competition
Background: In 2016, the Sepsis-3 taskforce posited that acute organ failure is the defining feature of sepsis. Accordingly, they recommended that an acute rise in the Sequential Organ Failure Assessment (SOFA) score by 2 points over baseline should replace the Systemic Inflammatory Response Syndrome (SIRS) score as the sepsis criteria (1). As a justification, they [...]
Abstract Number: 96
CODE BLUE OUTCOMES: RELATION TO THE MODIFIED EARLY WARNING SCORE
Hospital Medicine 2017, May 1-4, 2017; Las Vegas, Nev.
Background: The Modified Early Warning Score (MEWS) is a physiological scoring system developed to identify patients in early stages of clinical deterioration and prevent delays in proper care. It consists of systolic blood pressure, heart rate, respiratory rate, temperature and level of consciousness. Higher MEWS are associated with greater mortality and need for intensive care. [...]
Abstract Number: K7
DATA VS. INTUITION: ASSESSING THE ADDED VALUE OF NURSE JUDGEMENT TO EARLY WARNING SCORES FOR PREDICTING CLINICAL DETERIORATION
SHM Converge 2022
Background: Early warning scores are clinical decision support tools that incorporate multiple physiologic variables to detect patient deterioration. Previous studies have highlighted the value of integrating measures of provider intuition into predictive models. (1-3) For example, incorporating the Patient Acuity Rating, a Likert-based measure of nurse worry, into the six-variable Modified Early Warning Score (MEWS) [...]
Abstract Number: 181
PREDICTING ALGORITHMS FOR CLINICAL DETERIORATION ON THE GENERAL WARD. A SCOPING REVIEW ON CURRENT USE AND RESEARCH.
Hospital Medicine 2020, Virtual Competition
Background: Despite the introduction of Early Warning Scores (EWSs), clinical deterioration (CD) remains an actual problem on the general ward. A next step to counter CD would be to intensify measurement from intermittent 8 hours to continuous measurements. This leads to big data sets of patient monitoring data with great potential. Use of advanced predictive [...]
Abstract Number: 294
The Performance of the Rothman Index in the Prediction of In-Hospital Cardio-Pulmonary Arrest in Adults
Hospital Medicine 2016, March 6-9, San Diego, Calif.
Background: About 209,000 adults experience an in-hospital cardio-pulmonary arrest (IHCA) every year in the US. Known early warning scoring systems (e.g., MEWS, eCART) have shown low efficiency in predicting a patient’s risk of deterioration. We assessed the possibility of using the Rothman Index (RI) as such a tool. Methods: We conducted a retrospective case-control study with 248 adult inpatients at Yale-New [...]
Abstract Number: N15
ANALYSIS OF RESPIRATORY KINEMATICS (ARK) FOR QUANTITATIVE CHARACTERIZATION OF LABORED BREATHING: A DEMONSTRATION OF TECHNICAL FEASIBILITY AND CONSTRUCT VALIDITY
SHM Converge 2022
Background: An important duty of every hospitalist is to detect the earliest signs of imminent clinical deterioration. Breathing motion patterns can convey early warnings of respiratory instability (1). Normal breathing appears regular, effortless, well-coordinated and comfortable (2). In patients at high risk of respiratory deterioration, breathing appears labored (3). Well-established signs of labored breathing include: [...]
Oral Presentations
Abstract Number: Oral
THE PROGNOSTIC VALUE OF SEPSIS-3 CRITERIA: DO “BIG DATA” STUDIES SYSTEMATICALLY OVERESTIMATE IT?
Hospital Medicine 2020, Virtual Competition
Background: In 2016, the Sepsis-3 taskforce posited that acute organ failure is the defining feature of sepsis. Accordingly, they recommended that an acute rise in the Sequential Organ Failure Assessment (SOFA) score by 2 points over baseline should replace the Systemic Inflammatory Response Syndrome (SIRS) score as the sepsis criteria (1). As a justification, they [...]
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