Literature DB >> 31246909

A review of early warning systems for prompt detection of patients at risk for clinical decline.

Andrew A Kramer1, Frank Sebat, Matthew Lissauer.   

Abstract

Early Warning Scores (EWS) are a composite evaluation of a patient's basic physiology, changes of which are the first indicators of clinical decline and are used to prompt further patient assessment and when indicated intervention. These are sometimes referred to as "track and triggers systems" with tracking meant to denote periodic observation of physiology and trigger being a predetermined response criteria. This review article examines the most widely used EWS, with special attention paid to those used in military and trauma populations.The earliest EWS is the Modified Early Earning Score (MEWS). In MEWS, points are allocated to vital signs based on their degree of abnormality, and summed to yield an aggregate score. A score above a threshold would elicit a clinical response such as a rapid response team. Modified Early Earning Score was subsequently followed up with the United Kingdom's National Early Warning Score, the electronic cardiac arrest triage score, and the 10 Signs of Vitality score, among others.Severity of illness indicators have been in military and civilian trauma populations, such as the Revised Trauma Score, Injury Severity Score, and Trauma and Injury Severity. The sequential organ failure assessment score and its attenuated version quick sequential organ failure assessment were developed to aggressively identify patients near septic shock.Effective EWS have certain characteristics. First, they should accurately capture vital signs information. Second, almost all data should be derived electronically rather than manually. Third, the measurements should take into consideration multiple organ systems. Finally, information that goes into an EWS must be captured in a timely manner. Future trends include the use of machine learning to detect subtle changes in physiology and the inclusion of data from biomarkers. As EWS improve, they will be more broadly used in both military and civilian environments. LEVEL OF EVIDENCE: Review article, level I.

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Year:  2019        PMID: 31246909     DOI: 10.1097/TA.0000000000002197

Source DB:  PubMed          Journal:  J Trauma Acute Care Surg        ISSN: 2163-0755            Impact factor:   3.313


  8 in total

Review 1.  Leveraging Continuous Vital Sign Measurements for Real-Time Assessment of Autonomic Nervous System Dysfunction After Brain Injury: A Narrative Review of Current and Future Applications.

Authors:  Jamie Podell; Melissa Pergakis; Shiming Yang; Ryan Felix; Gunjan Parikh; Hegang Chen; Lujie Chen; Catriona Miller; Peter Hu; Neeraj Badjatia
Journal:  Neurocrit Care       Date:  2022-04-12       Impact factor: 3.532

2.  The utility of MEWS for predicting the mortality in the elderly adults with COVID-19: a retrospective cohort study with comparison to other predictive clinical scores.

Authors:  Lichun Wang; Qingquan Lv; Xiaofei Zhang; Binyan Jiang; Enhe Liu; Chaoxing Xiao; Xinyang Yu; Chunhua Yang; Lei Chen
Journal:  PeerJ       Date:  2020-09-28       Impact factor: 2.984

3.  Management of haematoma after thyroid surgery: systematic review and multidisciplinary consensus guidelines from the Difficult Airway Society, the British Association of Endocrine and Thyroid Surgeons and the British Association of Otorhinolaryngology, Head and Neck Surgery.

Authors:  H A Iliff; K El-Boghdadly; I Ahmad; J Davis; A Harris; S Khan; V Lan-Pak-Kee; J O'Connor; L Powell; G Rees; T S Tatla
Journal:  Anaesthesia       Date:  2021-09-21       Impact factor: 12.893

4.  Technical considerations for evaluating clinical prediction indices: a case study for predicting code blue events with MEWS.

Authors:  Kais Gadhoumi; Alex Beltran; Christopher G Scully; Ran Xiao; David O Nahmias; Xiao Hu
Journal:  Physiol Meas       Date:  2021-06-17       Impact factor: 2.688

5.  Prehospital Point-Of-Care Lactate Increases the Prognostic Accuracy of National Early Warning Score 2 for Early Risk Stratification of Mortality: Results of a Multicenter, Observational Study.

Authors:  Francisco Martín-Rodríguez; Raúl López-Izquierdo; Juan F Delgado Benito; Ancor Sanz-García; Carlos Del Pozo Vegas; Miguel Ángel Castro Villamor; José Luis Martín-Conty; Guillermo J Ortega
Journal:  J Clin Med       Date:  2020-04-18       Impact factor: 4.241

6.  Predictive value of Modified Early Warning Score (MEWS) and Revised Trauma Score (RTS) for the short-term prognosis of emergency trauma patients: a retrospective study.

Authors:  Zhejun Yu; Feng Xu; Du Chen
Journal:  BMJ Open       Date:  2021-03-15       Impact factor: 2.692

7.  Capturing Parents' Perspectives of Child Wellness to Support Identification of Acutely Unwell Children in the Emergency Department.

Authors:  Abigail Albutt; Damian Roland; Rebecca Lawton; Mark Conner; Jane O'Hara
Journal:  J Patient Saf       Date:  2021-12-17       Impact factor: 2.243

8.  Prognostic value of National Early Warning Score and Modified Early Warning Score on intensive care unit readmission and mortality: A prospective observational study.

Authors:  Ata Mahmoodpoor; Sarvin Sanaie; Seied Hadi Saghaleini; Zohreh Ostadi; Mohammad-Salar Hosseini; Naeeme Sheshgelani; Amir Vahedian-Azimi; Abbas Samim; Farshid Rahimi-Bashar
Journal:  Front Med (Lausanne)       Date:  2022-08-04
  8 in total

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