Cargando…
Modified National Early Warning Score as Early Predictor of Outcome in COVID-19 Pandemic
COVID-19 represented an important challenge to the Italian healthcare system (IHCS). Our main aim was to obtain evidence to support the use of modified national early warning score (m-NEWS) as an interdisciplinary, common, and universal scoring scale to quickly recognize patients with a risk of clin...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211943/ https://www.ncbi.nlm.nih.gov/pubmed/34179692 http://dx.doi.org/10.1007/s42399-021-00997-y |
_version_ | 1783709575891910656 |
---|---|
author | Tagliabue, Fabio Schena, Daniele Galassi, Luca Magni, Matteo Guerrazzi, Guglielmo Acerbis, Andrea Rinallo, Christina Longhi, Daniel Ronzani, Alberto Mariani, Pierpaolo |
author_facet | Tagliabue, Fabio Schena, Daniele Galassi, Luca Magni, Matteo Guerrazzi, Guglielmo Acerbis, Andrea Rinallo, Christina Longhi, Daniel Ronzani, Alberto Mariani, Pierpaolo |
author_sort | Tagliabue, Fabio |
collection | PubMed |
description | COVID-19 represented an important challenge to the Italian healthcare system (IHCS). Our main aim was to obtain evidence to support the use of modified national early warning score (m-NEWS) as an interdisciplinary, common, and universal scoring scale to quickly recognize patients with a risk of clinical deterioration before admission and during hospitalization. As a secondary goal, we tried to find a score threshold that can trigger patients’ immediate medical review as a part of an optimal triaging protocol for an emergency setting where healthcare resources are overloaded. We performed a retrospective observational study. We included in our study all patients treated for COVID-19 infection in surgical departments between 01 March 2020 and 16 April 2020. Patients with negative test results for SARS-COV-2 were excluded. m-NEWS was obtained twice a day. Patients’ m-NEWS were analyzed in order to verify the correlation between m-NEWS (at admission and m-NEWS variation 24 h after admission) and outcome (positive outcome-survival, negative outcome-death, or intensive care unit (ICU) transfer). We included a population-based sample of 225 SARS-COV-2-infected patients. Overall, the average age at hospitalization was 71 (ranging from 40 to 95). 144 (64%) patients were males and 81 (36%) females. m-NEWS values lower or equal to 7 were associated with the majority of the “recovered” population (100/132 75.75%) and at the same time with the minority of the “non-recovered” population (25/93 26.88%). For our sample, age is statistically correlated to the outcome but a triage protocol based solely on this variable is less effective than m-NEWS, which showed to be a reliable and easy-to-use score for first patient evaluation. Our observations pave the way towards further studies aiming at optimizing territorial and community healthcare management protocols. |
format | Online Article Text |
id | pubmed-8211943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82119432021-06-21 Modified National Early Warning Score as Early Predictor of Outcome in COVID-19 Pandemic Tagliabue, Fabio Schena, Daniele Galassi, Luca Magni, Matteo Guerrazzi, Guglielmo Acerbis, Andrea Rinallo, Christina Longhi, Daniel Ronzani, Alberto Mariani, Pierpaolo SN Compr Clin Med Covid-19 COVID-19 represented an important challenge to the Italian healthcare system (IHCS). Our main aim was to obtain evidence to support the use of modified national early warning score (m-NEWS) as an interdisciplinary, common, and universal scoring scale to quickly recognize patients with a risk of clinical deterioration before admission and during hospitalization. As a secondary goal, we tried to find a score threshold that can trigger patients’ immediate medical review as a part of an optimal triaging protocol for an emergency setting where healthcare resources are overloaded. We performed a retrospective observational study. We included in our study all patients treated for COVID-19 infection in surgical departments between 01 March 2020 and 16 April 2020. Patients with negative test results for SARS-COV-2 were excluded. m-NEWS was obtained twice a day. Patients’ m-NEWS were analyzed in order to verify the correlation between m-NEWS (at admission and m-NEWS variation 24 h after admission) and outcome (positive outcome-survival, negative outcome-death, or intensive care unit (ICU) transfer). We included a population-based sample of 225 SARS-COV-2-infected patients. Overall, the average age at hospitalization was 71 (ranging from 40 to 95). 144 (64%) patients were males and 81 (36%) females. m-NEWS values lower or equal to 7 were associated with the majority of the “recovered” population (100/132 75.75%) and at the same time with the minority of the “non-recovered” population (25/93 26.88%). For our sample, age is statistically correlated to the outcome but a triage protocol based solely on this variable is less effective than m-NEWS, which showed to be a reliable and easy-to-use score for first patient evaluation. Our observations pave the way towards further studies aiming at optimizing territorial and community healthcare management protocols. Springer International Publishing 2021-06-18 2021 /pmc/articles/PMC8211943/ /pubmed/34179692 http://dx.doi.org/10.1007/s42399-021-00997-y Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Covid-19 Tagliabue, Fabio Schena, Daniele Galassi, Luca Magni, Matteo Guerrazzi, Guglielmo Acerbis, Andrea Rinallo, Christina Longhi, Daniel Ronzani, Alberto Mariani, Pierpaolo Modified National Early Warning Score as Early Predictor of Outcome in COVID-19 Pandemic |
title | Modified National Early Warning Score as Early Predictor of Outcome in COVID-19 Pandemic |
title_full | Modified National Early Warning Score as Early Predictor of Outcome in COVID-19 Pandemic |
title_fullStr | Modified National Early Warning Score as Early Predictor of Outcome in COVID-19 Pandemic |
title_full_unstemmed | Modified National Early Warning Score as Early Predictor of Outcome in COVID-19 Pandemic |
title_short | Modified National Early Warning Score as Early Predictor of Outcome in COVID-19 Pandemic |
title_sort | modified national early warning score as early predictor of outcome in covid-19 pandemic |
topic | Covid-19 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211943/ https://www.ncbi.nlm.nih.gov/pubmed/34179692 http://dx.doi.org/10.1007/s42399-021-00997-y |
work_keys_str_mv | AT tagliabuefabio modifiednationalearlywarningscoreasearlypredictorofoutcomeincovid19pandemic AT schenadaniele modifiednationalearlywarningscoreasearlypredictorofoutcomeincovid19pandemic AT galassiluca modifiednationalearlywarningscoreasearlypredictorofoutcomeincovid19pandemic AT magnimatteo modifiednationalearlywarningscoreasearlypredictorofoutcomeincovid19pandemic AT guerrazziguglielmo modifiednationalearlywarningscoreasearlypredictorofoutcomeincovid19pandemic AT acerbisandrea modifiednationalearlywarningscoreasearlypredictorofoutcomeincovid19pandemic AT rinallochristina modifiednationalearlywarningscoreasearlypredictorofoutcomeincovid19pandemic AT longhidaniel modifiednationalearlywarningscoreasearlypredictorofoutcomeincovid19pandemic AT ronzanialberto modifiednationalearlywarningscoreasearlypredictorofoutcomeincovid19pandemic AT marianipierpaolo modifiednationalearlywarningscoreasearlypredictorofoutcomeincovid19pandemic |