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Annals of Medicine Volume 52, 2020 - Issue 7
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Original Articles

NEWS and qSIRS superior to qSOFA in the prediction of 30-day mortality in emergency department patients in Hong Kong

Colin A. GrahamAccident and Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Hong Kong SAR, China
,
Ling Yan LeungAccident and Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Hong Kong SAR, China
,
Ronson Sze Long LoAccident and Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Hong Kong SAR, China
,
Chun Yu YeungAccident and Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Hong Kong SAR, China
,
Suet Yi ChanAccident and Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Hong Kong SAR, China
&
Kevin Kei Ching HungAccident and Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Hong Kong SAR, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-8706-7758
ORCID Icon
Pages 403-412 | Received 01 May 2020, Accepted 09 Jun 2020, Published online: 25 Jun 2020

Citations (10)

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Read on this site (2)

Xia Qiu, Yu-Peng Lei & Rui-Xi Zhou. (2023) SIRS, SOFA, qSOFA, and NEWS in the diagnosis of sepsis and prediction of adverse outcomes: a systematic review and meta-analysis. Expert Review of Anti-infective Therapy 21:8, pages 891-900.
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Lan Chen, Han Zheng, Lijun Chen, Sunying Wu & Saibin Wang. (2021) National Early Warning Score in Predicting Severe Adverse Outcomes of Emergency Medicine Patients: A Retrospective Cohort Study. Journal of Multidisciplinary Healthcare 14, pages 2067-2078.
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Articles from other publishers (8)

Megan De Silva, William Chadwick & Navindhra Naidoo. (2023) Screening tools for sepsis identification in paramedicine and other emergency contexts: a rapid systematic review. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 31:1.
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Po-Cheng Chang, Zhi-Yong Liu, Yu-Chang Huang, Yu-Chun Hsu, Jung-Sheng Chen, Ching-Heng Lin, Richard Tsai, Chung-Chuan Chou, Ming-Shien Wen, Hung-Ta Wo, Wen-Chen Lee, Hao-Tien Liu, Chun-Chieh Wang & Chang-Fu Kuo. (2023) Machine learning-based prediction of acute mortality in emergency department patients using twelve-lead electrocardiogram. Frontiers in Cardiovascular Medicine 10.
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Hatice Tapsiz, Sadiye Yolcu, Nurettin Yilmaz, Mehmet Tunc, Adem Kaya & Akkan Avci. (2022) Comparison of national early warning score-2 and qSOFA in predicting the prognosis of older adults with altered mental status. Irish Journal of Medical Science (1971 -) 192:3, pages 1355-1359.
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Laura Melero-Guijarro, Ancor Sanz-García, Francisco Martín-Rodríguez, Vivian Lipari, Cristina Mazas Perez Oleaga, Stefanía Carvajal Altamiranda, Nohora Milena Martínez López, Irma Domínguez Azpíroz, Miguel A. Castro Villamor, Irene Sánchez Soberón & Raúl López-Izquierdo. (2023) Prehospital qSOFA, mSOFA, and NEWS2 performance for sepsis prediction: A prospective, multi-center, cohort study. Frontiers in Medicine 10.
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Hailin Ruan, Dianshan Ke & Dalin Liao. (2022) Prognostic Accuracy of qSOFA and SIRS for Mortality in the Emergency Department: A Meta-Analysis and Systematic Review of Prospective Studies. Emergency Medicine International 2022, pages 1-11.
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Can Wang, Rufu Xu, Yuerong Zeng, Yu Zhao & Xuelian Hu. (2022) A comparison of qSOFA, SIRS and NEWS in predicting the accuracy of mortality in patients with suspected sepsis: A meta-analysis. PLOS ONE 17:4, pages e0266755.
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Mark Holland & John Kellett. (2022) A systematic review of the discrimination and absolute mortality predicted by the National Early Warning Scores according to different cut-off values and prediction windows. European Journal of Internal Medicine 98, pages 15-26.
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Gigi Guan, Crystal Man Ying Lee, Stephen Begg, Angela Crombie & George Mnatzaganian. (2022) The use of early warning system scores in prehospital and emergency department settings to predict clinical deterioration: A systematic review and meta-analysis. PLOS ONE 17:3, pages e0265559.
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