Anna Gidari1, Giuseppe Vittorio De Socio1, Samuele Sabbatini2, Daniela Francisci1. 1. Department of Medicine, Clinic of Infectious Diseases, 'Santa Maria della Misericordia' Hospital, University of Perugia, Perugia, Italy. 2. Department of Medicine, Medical Microbiology Section, University of Perugia, Perugia, Italy.
Abstract
Background: From January 2020, Coronavirus disease 19 (COVID-19) has rapidly spread all over the world. An early assessment of illness severity is important for the stratification of patients. We analysed the predictive value of National Early Warning Score 2 (NEWS2) for intensive care unit admission (ICU) in patients with Severe Acute Respiratory Syndrome- Coronavirus-2 (SARS-CoV-2) infection. Methods: Data of 71 patients with SARS-CoV-2 admitted from 1 March to 20 April 2020, to the Clinic of Infectious Diseases of Perugia Hospital, Italy, were retrospectively reviewed. NEWS2 at hospital admission, demographic, comorbidity and clinical data were collected. Univariate and multivariate analyses were performed to establish the correlation between each variable and ICU admission. Results: Among 68 patients included in the analysis, 27 were admitted to ICU. NEWS2 at hospital admission was a good predictor of ICU admission as shown by an area under the receiver-operating characteristic curve analysis of 0.90 (standard error 0.04; 95% confidence interval 0.82-0.97). In multivariate logistic regression analysis, NEWS2 was significantly related to ICU admission using thresholds of 5 and 7. No other clinical variables included in the model were significantly correlated with ICU admission.A NEWS2 threshold of 5 had higher sensitivity than a threshold of 7 (89% and 63%). Higher specificity, positive likelihood ratio and positive predictive value were found using a threshold of 7 than a threshold of 5.Conclusions: NEWS2 at hospital admission was a good predictor for ICU admission. Patients with severe COVID-19 were correctly and rapidly stratified.
Background: From January 2020, Coronavirus disease 19 (COVID-19) has rapidly spread all over the world. An early assessment of illness severity is important for the stratification of patients. We analysed the predictive value of National Early Warning Score 2 (NEWS2) for intensive care unit admission (ICU) in patients with Severe Acute Respiratory Syndrome- Coronavirus-2 (SARS-CoV-2) infection. Methods: Data of 71 patients with SARS-CoV-2 admitted from 1 March to 20 April 2020, to the Clinic of Infectious Diseases of Perugia Hospital, Italy, were retrospectively reviewed. NEWS2 at hospital admission, demographic, comorbidity and clinical data were collected. Univariate and multivariate analyses were performed to establish the correlation between each variable and ICU admission. Results: Among 68 patients included in the analysis, 27 were admitted to ICU. NEWS2 at hospital admission was a good predictor of ICU admission as shown by an area under the receiver-operating characteristic curve analysis of 0.90 (standard error 0.04; 95% confidence interval 0.82-0.97). In multivariate logistic regression analysis, NEWS2 was significantly related to ICU admission using thresholds of 5 and 7. No other clinical variables included in the model were significantly correlated with ICU admission.A NEWS2 threshold of 5 had higher sensitivity than a threshold of 7 (89% and 63%). Higher specificity, positive likelihood ratio and positive predictive value were found using a threshold of 7 than a threshold of 5.Conclusions: NEWS2 at hospital admission was a good predictor for ICU admission. Patients with severe COVID-19 were correctly and rapidly stratified.
Entities:
Keywords:
COVID-19; ICU; NEWS2; National Early Warning Score 2; SARS-CoV-2
Authors: Kenneth F Baker; Aidan T Hanrath; Ina Schim van der Loeff; Lesley J Kay; Jonathan Back; Christopher Ja Duncan Journal: Clin Med (Lond) Date: 2021-02-05 Impact factor: 2.659
Authors: Ryan C Maves; Stephanie A Richard; David A Lindholm; Nusrat Epsi; Derek T Larson; Christian Conlon; Kyle Everson; Steffen Lis; Paul W Blair; Sharon Chi; Anuradha Ganesan; Simon Pollett; Timothy H Burgess; Brian K Agan; Rhonda E Colombo; Christopher J Colombo Journal: Open Forum Infect Dis Date: 2021-08-10 Impact factor: 3.835
Authors: Christopher J Colombo; Rhonda E Colombo; Ryan C Maves; Angela R Branche; Stuart H Cohen; Marie-Carmelle Elie; Sarah L George; Hannah J Jang; Andre C Kalil; David A Lindholm; Richard A Mularski; Justin R Ortiz; Victor Tapson; C Jason Liang Journal: Crit Care Explor Date: 2021-07-13
Authors: Ben Thomas; Steve Goodacre; Ellen Lee; Laura Sutton; Matthew Bursnall; Amanda Loban; Simon Waterhouse; Richard Simmonds; Katie Biggs; Carl Marincowitz; José Schutter; Sarah Connelly; Elena Sheldon; Jamie Hall; Emma Young; Andrew Bentley; Kirsty Challen; Chris Fitzsimmons; Tim Harris; Fiona Lecky; Andrew Lee; Ian Maconochie; Darren Walter Journal: Emerg Med J Date: 2021-06-03 Impact factor: 2.740
Authors: John M Søfteland; Gustav Friman; Bengt von Zur-Mühlen; Bo-Göran Ericzon; Carin Wallquist; Kristjan Karason; Vanda Friman; Jan Ekelund; Marie Felldin; Jesper Magnusson; Ida Haugen Löfman; Andreas Schult; Emily de Coursey; Susannah Leach; Hanna Jacobsson; Jan-Åke Liljeqvist; Ali R Biglarnia; Per Lindnér; Mihai Oltean Journal: Am J Transplant Date: 2021-05-06 Impact factor: 9.369
Authors: Mickael Gette; Sara Fernandes; Marion Marlinge; Marine Duranjou; Wijayanto Adi; Maelle Dambo; Pierre Simeone; Pierre Michelet; Nicolas Bruder; Regis Guieu; Julien Fromonot Journal: Biomedicines Date: 2021-05-18