Evidence map›Paper›PMID 37535234›Full record

Observational studyEuropean geriatric medicine2023

Comparison of different prognostic scores in estimating short- and long-term mortality in COVID-19 patients above 60 years old in a university hospital in Belgium.

C Van Hauwermeiren, M Claessens, M Berland, B Dumoulin, S Lieten, M Surquin, F Benoit

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In one paragraph

Observational study in European geriatric medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

C Van HauwermeirenUZ Brussels Hospital, Geriatric Medicine, Vrije Universiteit Brussel, Brussels, Belgium. Carmen.VanHauwermeiren@uzbrussel.be.ORCID 0009-0000-7688-0161
M ClaessensBrugmann University Hospital, Geriatric Medicine, Université Libre de Bruxelles, Brussels, Belgium.
M BerlandBrugmann University Hospital, Geriatric Medicine, Université Libre de Bruxelles, Brussels, Belgium.
B DumoulinBrugmann University Hospital, Geriatric Medicine, Université Libre de Bruxelles, Brussels, Belgium.
S LietenUZ Brussels Hospital, Geriatric Medicine, Vrije Universiteit Brussel, Brussels, Belgium.
M SurquinBrugmann University Hospital, Geriatric Medicine, Université Libre de Bruxelles, Brussels, Belgium.
F BenoitBrugmann University Hospital, Geriatric Medicine, Université Libre de Bruxelles, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesMultiple scoring systems were used for risk stratification in COVID-19 patients. The objective was to determine among 6 scores which performed the best in predicting short-and long-term mortality in hospitalized COVID-19 patients ≥ 60 years.

methodsAn observational, retrospective cohort study conducted between 21/10/2020 and 20/01/2021. 6 scores were calculated (Clinical Frailty Scale (CFS), Charlson Comorbidity Index (CCI), 4C Mortality Score (4CMS), NEWS score (NEWS), quick-SOFA score (qSOFA), and Quick COVID-19 Severity Index (qCSI)). We included unvaccinated hospitalized patients with COVID-19 ≥ 60 years old in Brugmann hospital, detected by PCR and/or suggestive CT thorax images. Old and nosocomial infections, and patients admitted immediately at the intensive care unit were excluded.

results199 patients were included, mean age was 76.2 years (60-99). 47.2% were female. 56 patients (28%) died within 1 year after the first day of hospitalization. The 4CMS predicted the best intrahospital, 30 days and 6 months mortality, with area under the ROC curve (AUROC) 0.695 (0.58-0.81), 0.76 (0.65-0.86) and 0.72 (0.63-0.82) respectively. The CCI came right after with respectively AUROC of 0.69 (0.59-0.79), 0.74 (0.65-0.83) and 0.71 (0.64-0.8). To predict mortality at 12 months after hospitalization, the CCI had the highest AUROC with 0.77 (0.69-0.85), before the 4CMS with 0.69 (0.60-0.79). DISCUSSION: Among 6 scores, the 4CMS was the best to predict intrahospital, 30-day and 6-month mortality. To predict mortality at 12 months, CCI had the best performance before 4CMS. This reflects the importance of considering comorbidities for short- and long-term mortality after COVID 19. REGISTRATION: This study was approved by the ethical committee of Brugmann University Hospital (reference CE 2020/228).

Indexed as

COVID-19AgedAged, 80 and overBelgiumFemaleHospitalizationHospital MortalityHospitals, UniversityHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentSARS-CoV-2Severity of Illness IndexCOVID-19MortalityOlder adultsPrognostic scores

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.