Prediction of en-route complications during interfacility transport by outcome predictive scores in ED

Wong, Yuk Kuen; Lui, Chun Tat; Li, K.K.; Wong, CY; Lee, M.M.; Tong, Weiwei; Ong, Kevin; Tang, Simon Y.H.

doi:10.1016/j.ajem.2016.02.009

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…MEWS has preliminarily standardized the EWS, which reduced the prediction error due to the various standards and inconsistent weight of individual parameter. The prediction accuracy of disease progression and prognosis has been improved 8–10 . However, the sensitivity of the MEWS was relatively low.…”

Section: Discussionmentioning

confidence: 99%

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The significance of National Early Warning Score for predicting prognosis and evaluating conditions of patients in resuscitation room

Yuan

Tao

Dan

et al. 2018

Hong Kong j. emerg. med.

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Background: For critical patients in resuscitation room, the early prediction of potential risk and rapid evaluation of disease progression would help physicians with timely treatment, leading to improved outcome. In this study, it focused on the application of National Early Warning Score on predicting prognosis and conditions of patients in resuscitation room. The National Early Warning Score was compared with the Modified Early Warning Score) and the Acute Physiology and Chronic Health Evaluation II. Objectives: To assess the significance of NEWS for predicting prognosis and evaluating conditions of patients in resuscitation rooms. Methods: A total of 621 consecutive cases from resuscitation room of Xuanwu Hospital, Capital Medical University were included during June 2015 to January 2016. All cases were prospectively evaluated with Modified Early Warning Score, National Early Warning Score, and Acute Physiology and Chronic Health Evaluation II and then followed up for 28 days. For the prognosis prediction, the cases were divided into death group and survival group. The Modified Early Warning Score, National Early Warning Score, and Acute Physiology and Chronic Health Evaluation II results of the two groups were compared. In addition, receiver operating characteristic curves were plotted. The areas under the receiver operating characteristic curves were calculated for assessing and predicting intensive care unit admission and 28-day mortality. Results: For the prognosis prediction, in death group, the National Early Warning Score (9.50 ± 3.08), Modified Early Warning Score (4.87 ± 2.49), and Acute Physiology and Chronic Health Evaluation II score (23.29 ± 5.31) were significantly higher than National Early Warning Score (5.29 ± 3.13), Modified Early Warning Score (3.02 ± 1.93), and Acute Physiology and Chronic Health Evaluation II score (13.22 ± 6.39) in survival group (p < 0.01). For the disease progression evaluation, the areas under the receiver operating characteristic curves of National Early Warning Score, Modified Early Warning Score, and Acute Physiology and Chronic Health Evaluation II were 0.760, 0.729, and 0.817 (p < 0.05), respectively, for predicting intensive care unit admission; they were 0.827, 0.723, and 0.883, respectively, for predicting 28-day mortality. The comparison of the three systems was significant (p < 0.05). Conclusion: The performance of National Early Warning Score for predicting intensive care unit admission and 28-day mortality was inferior than Acute Physiology and Chronic Health Evaluation II but superior than Modified Early Warning Score. It was able to rapidly predict prognosis and evaluate disease progression of critical patients in resuscitation room.

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Section: Discussionmentioning

confidence: 99%

“…The prediction accuracy of disease progression and prognosis has been improved. [8][9][10] However, the sensitivity of the MEWS was relatively low. In 2012, the Royal College of Physicians in the United Kingdom has developed NEWS, taking into account the oxygen saturations.…”

Section: Discussionmentioning

confidence: 99%

The significance of National Early Warning Score for predicting prognosis and evaluating conditions of patients in resuscitation room

Yuan

Tao

Dan

et al. 2018

Hong Kong j. emerg. med.

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“…The studies were carried out in the wards (n = 19) and in the emergency units (n = 22), one in the operating room, one in the pre-hospital environment, one in the oncology unit (Young et al, 2014) or for transfer patient in ED (Wong et al, 2016). In emergency MEWS was a good predictor in 11 studies, and in ward the score has a good performance in 10 studies.…”

Section: In-hospital Environmentsmentioning

confidence: 99%

Identificação da piora do quadro clínico do paciente internado na enfermaria

Saba¹

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Lista de Abreviaturas/Siglas _________________________________________ Resumo ____________________________________________________________ 1. INTRODUÇÃO __________________________________________________ 1.1 Modified Early Warning Score _____________________________________ 2. OBJETIVOS ____________________________________________________ 3. MÉTODOS _____________________________________________________ 3.1 Delineamento da pesquisa ________________________________________ 3.2 Local do estudo __________________________________________________ 3.3 Amostra _________________________________________________________ 3.4 Critérios de elegibilidade _________________________________________ 3.5 Procedimento para coleta de dados _______________________________ 3.6 Análise estatística dos dados _____________________________________ 3.7 Aspectos éticos __________________________________________________ 4. RESULTADOS __________________________________________________ 4.1 Análise Descritiva Geral __________________________________________ 4.2 Característica dos pacientes com MEWS ≥ 4 comparado aos pacientes com MEWS <4 ______________________________________________________________ 4.3 MEWS ≥ 4 e condutas ____________________________________________ 4.4 MEWS Entrada e Saída ___________________________________________ 4.5 MEWS e pacientes que foram para UTI _____________________________ 4.6 MEWS ≥ 4: Comparação 24h e 48h antes ___________________________ 4.7 Estudo de caso __________________________________________________ 5. DISCUSSÃO ____________________________________________________ 5.1 Características dos pacientes internados na enfermaria de clínica médica 52 5.2 Tempo de internação _____________________________________________ 5.3 Manejo de pacientes críticos ______________________________________ 5.4 Escalas diversas e MEWS_________________________________________ 5.5 MEWS de entrada e MEWS de saída _______________________________ 5.6 Pontuação de MEWS≥4 e condutas ________________________________ 5.7 Enfermagem e MEWS_____________________________________________ 6. CONCLUSÃO ___________________________________________________ 6.1 Sugestões para trabalhos futuros _________________________________ 6.2 Limitações _______________________________________________________ ANEXO 1 -Caracterização da Amostra -Ficha de coleta ______________ ANEXO 2 -Modified Early Warning Score (MEWS) ____________________ 7. REFERÊNCIAS BIBLIOGRÁFICAS _______________________________ CRONOGRAMA _____________________________________________________ APENDICE -Revisão Integrativa _____________________________________ Resumo Saba A. Identificação da piora do quadro clínico do paciente internado na enfermaria [dissertação].

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Safety Matters: A Meta-analysis of Interhospital Transport Adverse Events in Critically Ill Patients

Jeyaraju

Andhavarapu

Palmer

et al. 2021

Air Medical Journal

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Prediction of en-route complications during interfacility transport by outcome predictive scores in ED

Cited by 6 publications

References 12 publications

The significance of National Early Warning Score for predicting prognosis and evaluating conditions of patients in resuscitation room

The significance of National Early Warning Score for predicting prognosis and evaluating conditions of patients in resuscitation room

Identificação da piora do quadro clínico do paciente internado na enfermaria

Safety Matters: A Meta-analysis of Interhospital Transport Adverse Events in Critically Ill Patients

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