Literature DB >> 32378844

COVID-19: Symptoms, course of illness and use of clinical scoring systems for the first 42 patients admitted to a Norwegian local hospital.

Håkon Ihle-Hansen, Trygve Berge, Anders Tveita, Else Johanne Rønning, Per Erik Ernø, Elizabeth Lyster Andersen, Christian Hjorth Wang, Arnljot Tveit, Marius Myrstad.   

Abstract

BACKGROUND: The COVID-19 outbreak is presenting the health system with new challenges, and there is a great need for knowledge about symptoms, clinical findings and course of illness in patients admitted to Norwegian hospitals with COVID-19. MATERIAL AND
METHOD: In this observational qualitative study, all patients admitted to a Norwegian local hospital (Bærum Hospital) with proven COVID-19 infection were included consecutively from the start of the outbreak. We present here patient characteristics, symptoms, clinical findings, experience of using clinical scoring systems and course of illness based on data in medical records.
RESULTS: In the period 9-31 March 2020, 42 patients, of whom 28 (67 %) were men, were admitted to hospital with COVID-19 infection. The median age was 72.5 years (range 30-95). Fever (79 %), reduced general condition (79 %), dyspnoea (69 %) and cough (67 %) were the most common symptoms. A total of nine patients (21 %) had a critical course of illness with treatment in the Intensive Care Department and/or death during their stay in hospital. Patients with a critical course had a higher average score on National Early Warning Score 2 (NEWS2) on admission (7.6 vs 3.3). Only one of the most severely ill patients scored ≥ 2 on the quick Sepsis-related Organ Failure Assessment (qSOFA) on admission.
INTERPRETATION: Most patients admitted to our hospital with COVID-19 had a fever and respiratory tract symptoms. A high percentage of patients had a critical course of illness. A NEWS2 score of ≥ 5 on admission may be a useful aid in identifying patients at risk of a critical course of illness, while CRB-65 and qSOFA score ≥ 2 proved to be of little usefulness for this purpose in our material.

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Year:  2020        PMID: 32378844     DOI: 10.4045/tidsskr.20.0301

Source DB:  PubMed          Journal:  Tidsskr Nor Laegeforen        ISSN: 0029-2001


  12 in total

1.  Predictive Value of an Age-Based Modification of the National Early Warning System in Hospitalized Patients With COVID-19.

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

2.  Performance Analysis of the National Early Warning Score and Modified Early Warning Score in the Adaptive COVID-19 Treatment Trial Cohort.

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

3.  A systematic review and meta-analysis of regional risk factors for critical outcomes of COVID-19 during early phase of the pandemic.

Authors:  Hyung-Jun Kim; Hyeontaek Hwang; Hyunsook Hong; Jae-Joon Yim; Jinwoo Lee
Journal:  Sci Rep       Date:  2021-05-07       Impact factor: 4.379

4.  Predicting outcomes of COVID-19 from admission biomarkers: a prospective UK cohort study.

Authors:  David T Arnold; Marie Attwood; Shaney Barratt; Anna Morley; Karen T Elvers; Jorgen McKernon; Charmaine Donald; Adrian Oates; Alan Noel; Alasdair MacGowan; Nick A Maskell; Fergus W Hamilton
Journal:  Emerg Med J       Date:  2021-05-21       Impact factor: 2.740

5.  National Early Warning Score 2 (NEWS2) on admission predicts severe disease and in-hospital mortality from Covid-19 - a prospective cohort study.

Authors:  Marius Myrstad; Håkon Ihle-Hansen; Anders Aune Tveita; Elizabeth Lyster Andersen; Ståle Nygård; Arnljot Tveit; Trygve Berge
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2020-07-13       Impact factor: 2.953

6.  Predicting severe COVID-19 in the Emergency Department.

Authors:  Aleksander Rygh Holten; Kristin Grotle Nore; Caroline Emilie Van Woensel Kooy Tveiten; Theresa Mariero Olasveengen; Kristian Tonby
Journal:  Resusc Plus       Date:  2020-10-21

7.  The Prognostic Accuracy of National Early Warning Score 2 on Predicting Clinical Deterioration for Patients With COVID-19: A Systematic Review and Meta-Analysis.

Authors:  Kai Zhang; Xing Zhang; Wenyun Ding; Nanxia Xuan; Baoping Tian; Tiancha Huang; Zhaocai Zhang; Wei Cui; Huaqiong Huang; Gensheng Zhang
Journal:  Front Med (Lausanne)       Date:  2021-07-09

8.  The association of lung ultrasound images with COVID-19 infection in an emergency room cohort.

Authors:  S Bar; A Lecourtois; M Diouf; E Goldberg; C Bourbon; E Arnaud; L Domisse; H Dupont; P Gosset
Journal:  Anaesthesia       Date:  2020-07-01       Impact factor: 12.893

9.  Low mortality of hospitalised patients with COVID-19 in a tertiary Danish hospital setting.

Authors:  Lone Wulff Madsen; Susan Olaf Lindvig; Line Dahlerup Rasmussen; Fredrikke Christie Knudtzen; Christian B Laursen; Anne Øvrehus; Stig Lønberg Nielsen; Isik Somuncu Johansen
Journal:  Int J Infect Dis       Date:  2020-10-12       Impact factor: 3.623

10.  Neurological manifestations of COVID-19: a systematic review and meta-analysis of proportions.

Authors:  T T Favas; Priya Dev; Rameshwar Nath Chaurasia; Kamlesh Chakravarty; Rahul Mishra; Deepika Joshi; Vijay Nath Mishra; Anand Kumar; Varun Kumar Singh; Manoj Pandey; Abhishek Pathak
Journal:  Neurol Sci       Date:  2020-10-21       Impact factor: 3.830

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