Evidence map›Paper›PMID 37683031›Full record

ArticlePloS one2023

Daily disease severity in patients with COVID-19 admitted to the hospital: The SCODA (severity of coronavirus disease assessment) score.

Simone A Joosten, Mark J R Smeets, M Sesmu Arbous, Judith Manniën, Sander Laverman, Merijn M G Driessen, Suzanne C Cannegieter, Anna H E Roukens, Leiden University Medical Center BEAT-COVID group

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Simone A JoostenDepartment of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Mark J R SmeetsDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-5296-1151
M Sesmu ArbousDepartment of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands.
Judith ManniënDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Sander LavermanDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Merijn M G DriessenDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-1784-0642
Suzanne C CannegieterDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Anna H E RoukensDepartment of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-1397-0992
Leiden University Medical Center BEAT-COVID group
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA multitude of diagnostic and predictive algorithms have been designed for COVID-19. However, currently no score can accurately quantify and track day-to-day disease severity in hospitalised patients with COVID-19. We aimed to design such a score to improve pathophysiological insight in COVID-19.

methodsDevelopment of the Severity of COronavirus Disease Assessment (SCODA) score was based on the 4C Mortality score but patient demographic variables that remain constant during admission were excluded. Instead, parameters associated with breathing and oxygenation were added to reflect the daily condition. The SCODA score was subsequently applied to the BEAT-COVID cohort to describe COVID-19 severity over time and to determine the timing of clinical recovery for each patient, an important marker in pathophysiological studies. The BEAT-COVID study included patients with PCR confirmed COVID-19 who were hospitalized between April 2020 and March 2021 in the Leiden University Medical Center, The Netherlands.

resultsThe SCODA score consists of 6 clinical and 2 routine lab parameters. 191 patients participated in the BEAT-COVID study. Median age was 66, and 74.4% was male. The modal timepoint at which recovery was clinically initiated occurred on days 8 and 24 since symptom onset for non-ICU and ICU-patients, respectively.

conclusionsWe developed a daily score which can be used to track disease severity of patients admitted due to COVID-19. This score is useful for improving insight in COVID-19 pathophysiology, its clinical course and to evaluate interventions. In a future stage this score can also be used in other (emerging) infectious respiratory diseases.

Indexed as

COVID-19Academic Medical CentersHospitalizationHospitalsHumansMalePatient Acuity

Identifiers

PMID37683031
PMCPMC10490882
OpenAlexW4386535932

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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.