Literature DB >> 26463280

An Early Warning Score Predicts Risk of Death after In-hospital Cardiopulmonary Arrest in Surgical Patients.

Alexander P Stark1, Robert C Maciel, William Sheppard, Greg Sacks, O Joe Hines.   

Abstract

In-hospital cardiopulmonary arrest can contribute significantly to publicly reported mortality rates. Systems to improve mortality are being implemented across all specialties. A review was conducted for all surgical patients >18 years of age who experienced a "Code Blue" event between January 1, 2013 and March 9, 2014 at a university hospital. A previously validated Modified Early Warning Score (MEWS) using routine vital signs and neurologic status was calculated at regular intervals preceding the event. In 62 patients, the most common causes of arrest included respiratory failure, arrhythmia, sepsis, hemorrhage, and airway obstruction, but remained unknown in 27 per cent of cases. A total of 56.5 per cent of patients died before hospital discharge. In-hospital death was associated with American Society of Anesthesiologists status (P = 0.039) and acute versus elective admission (P = 0.003). Increasing MEWS on admission, 24 hours before the event, the event-day, and a maximum MEWS score on the day of the event increased the odds of death. Max MEWS remained associated with death after multivariate analysis (odds ratio 1.39, P = 0.025). Simple and easy to implement warning scores such as MEWS can identify surgical patients at risk of death after arrest. Such recognition may provide an opportunity for clinical intervention resulting in improved patient outcomes and hospital mortality rates.

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Year:  2015        PMID: 26463280

Source DB:  PubMed          Journal:  Am Surg        ISSN: 0003-1348            Impact factor:   0.688


  4 in total

1.  Validating the Electronic Cardiac Arrest Risk Triage (eCART) Score for Risk Stratification of Surgical Inpatients in the Postoperative Setting: Retrospective Cohort Study.

Authors:  Bartlomiej Bartkowiak; Ashley M Snyder; Andrew Benjamin; Andrew Schneider; Nicole M Twu; Matthew M Churpek; Kevin K Roggin; Dana P Edelson
Journal:  Ann Surg       Date:  2019-06       Impact factor: 12.969

2.  Advances in anesthesia technology are improving patient care, but many challenges remain.

Authors:  D John Doyle; Ashraf A Dahaba; Yannick LeManach
Journal:  BMC Anesthesiol       Date:  2018-04-13       Impact factor: 2.217

3.  Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology.

Authors:  Stephen Gerry; Timothy Bonnici; Jacqueline Birks; Shona Kirtley; Pradeep S Virdee; Peter J Watkinson; Gary S Collins
Journal:  BMJ       Date:  2020-05-20

4.  Evaluating the Efficacy of the National Early Warning Score in Predicting the Mortality of Stroke Patients Admitted to Intensive Care Units.

Authors:  Ali Mohammadian Erdi; Mahzad Yousefian; Khatereh Isazadehfar; Fatemeh Badamchi
Journal:  Anesth Pain Med       Date:  2022-04-18
  4 in total

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