Tre bølger med covid-19 på et norsk lokalsykehus

Myrstad, Marius; Rønningen, Peter Selmer; Tveita, Anders; Rønning, Else Johanne; Ernø, Per Erik; Andersen, Elizabeth Lyster; Walle-Hansen, Marte Meyer; Robertson, Andrew Campbell; Thallinger, Monica; Svendsen, Jan; Haakonsen, Sigurd; Tveit, Arnljot; Ihle‐Hansen, Håkon

doi:10.4045/tidsskr.21.0750

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…Since a CFS score of 4 represents very mild frailty, we performed secondary analyses with CFS score 5 (mild frailty) as cut-off. To evaluate the impact of age group on our results, we performed sensitivity analyses after exclusion of patients younger than 65 years [17]. Data were analysed with STATA 17 (StataCorp, College Station, Texas).…”

Section: Methodsmentioning

confidence: 99%

Impact of frailty on the performance of the National Early Warning Score 2 to predict poor outcome in patients hospitalised due to COVID-19

et al. 2023

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Background The National Early Warning Score 2 (NEWS2) is a scoring tool predictive of poor outcome in hospitalised patients. Older patients with COVID-19 have increased risk of poor outcome, but it is not known if frailty may impact the predictive performance of NEWS2. We aimed to investigate the impact of frailty on the performance of NEWS2 to predict in-hospital mortality in patients hospitalised due to COVID-19. Methods We included all patients admitted to a non-university Norwegian hospital due to COVID-19 from 9 March 2020 until 31 December 2021. NEWS2 was scored based on the first vital signs recorded upon hospital admission. Frailty was defined as a Clinical Frailty Scale score ≥ 4. The performance of a NEWS2 score ≥ 5 to predict in-hospital mortality was assessed with sensitivity, specificity and area under the receiver operating characteristic curve (AUROC) according to frailty status. Results Out of 412 patients, 70 were aged ≥ 65 years and with frailty. They presented less frequently with respiratory symptoms, and more often with acute functional decline or new-onset confusion. In-hospital mortality was 6% in patients without frailty, and 26% in patients with frailty. NEWS2 predicted in-hospital mortality with a sensitivity of 86%, 95% confidence interval (CI) 64%-97% and AUROC 0.73, 95% CI 0.65–0.81 in patients without frailty. In older patients with frailty, sensitivity was 61%, 95% CI 36%-83% and AUROC 0.61, 95% CI 0.48–0.75. Conclusion A single NEWS2 score at hospital admission performed poorly to predict in-hospital mortality in patients with frailty and COVID-19 and should be used with caution in this patient group. Graphical Abstract Graphical abstract summing up study design, results and conclusion

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Section: Methodsmentioning

confidence: 99%

Impact of frailty on the performance of the National Early Warning Score 2 to predict poor outcome in patients hospitalised due to COVID-19

et al. 2023

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“…Kunnskap om hvordan det har gå med covid-19-pasienter innlagt ved et lokalsykehus i Oslo-området gir viktig informasjon for forberedelsene til neste koronabølge. I Tidsskriftet presenterer nå Myrstad og medarbeidere sykdomsforløp og behandling for de totalt 300 covid-19-pasientene som ble innlagt ved Baerum sykehus i løpet av de tre første «bølgene» med koronasmi e i 2020 og 2021 (1).…”

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Tre bølger i Bærum

Brattebø¹

2022

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Characteristics, outcomes, and risk factors for in-hospital mortality of COVID-19 patients: A retrospective study in Thailand

et al. 2023

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IntroductionData on the characteristics and outcomes of patients hospitalized for Coronavirus Disease 2019 (COVID-19) in Thailand are limited.ObjectiveTo determine characteristics and outcomes and identify risk factors for hospital mortality for hospitalized patients with COVID-19.MethodsWe retrospectively reviewed the medical records of patients who had COVID-19 infection and were admitted to the cohort ward or ICUs at Siriraj Hospital between January 2020 and December 2021.ResultsOf the 2,430 patients included in this study, 229 (9.4%) died; the mean age was 54 years, 40% were men, 81% had at least one comorbidity, and 13% required intensive care unit (ICU). Favipiravir (86%) was the main antiviral treatment. Corticosteroids and rescue anti-inflammatory therapy were used in 74 and 6%, respectively. Admission to the ICU was the only factor associated with reduced mortality [odds ratio (OR) 0.01, 95% confidence interval (CI) 0.01–0.05, P < 0.001], whereas older age (OR 14.3, 95%CI 5.76–35.54, P < 0.001), high flow nasal cannula (HFNC; OR 9.2, 95% CI 3.9–21.6, P < 0.001), mechanical ventilation (OR 269.39, 95%CI 3.6–2173.63, P < 0.001), septic shock (OR 7.79, 95%CI, 2.01–30.18, P = 0.003), and hydrocortisone treatment (OR 27.01, 95%CI 5.29–138.31, P < 0.001) were factors associated with in-hospital mortality.ConclusionThe overall mortality of hospitalized patients with COVID-19 was 9%. The only factor associated with reduced mortality was admission to the ICU. Therefore, appropriate selection of patients for admission to the ICU, strategies to limit disease progression and prevent intubation, and early detection and prompt treatment of nosocomial infection can improve survival in these patients.

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Tre bølger med covid-19 på et norsk lokalsykehus

Cited by 4 publications

References 13 publications

Impact of frailty on the performance of the National Early Warning Score 2 to predict poor outcome in patients hospitalised due to COVID-19

Impact of frailty on the performance of the National Early Warning Score 2 to predict poor outcome in patients hospitalised due to COVID-19

Tre bølger i Bærum

Characteristics, outcomes, and risk factors for in-hospital mortality of COVID-19 patients: A retrospective study in Thailand

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