Evidence map›Paper›PMID 33491261›Full record

ArticleEchocardiography (Mount Kisco, N.Y.)2021

The COVID-19 Worsening Score (COWS)-a predictive bedside tool for critical illness.

Enrico Boero, Serena Rovida, Annia Schreiber, Paola Berchialla, Lorena Charrier, Marta Maria Cravino, Marcella Converso, Paola Gollini, Mattia Puppo, Angela Gravina and 8 more

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In one paragraph

Article in Echocardiography (Mount Kisco, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  7. To B or not to B-lines.Journal of anesthesia, analgesia and critical care · 2024
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  15. Point-of-Care Ultrasound Predicts Clinical Outcomes in Patients With COVID-19.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2022
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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

18 authors.

Enrico BoeroDepartment of Surgery, Anesthesia and Intensive Care, Ospedale San Giovanni Bosco, Torino, Italy.ORCID 0000-0002-2797-4847
Serena RovidaDepartment of Anesthesia and Intensive Care Unit, Saint Bartholomew's Hospital, Barts NHS Trust, London, UK.
Annia SchreiberInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0003-4073-4001
Paola BerchiallaDepartment of Clinical and Biological Sciences, University of Torino, Torino, Italy.ORCID 0000-0001-5835-5638
Lorena CharrierDepartment of Public Health and Pediatrics, University of Torino, Torino, Italy.ORCID 0000-0002-1300-4508
Marta Maria CravinoDepartment of Medicine, Internal Medicine, Ospedale San Giovanni Bosco, Torino, Italy.
Marcella ConversoDepartment of Medicine, High Dependency Unit, Ospedale San Giovanni Bosco, Torino, Italy.
Paola GolliniDepartment of Services, Radiology, Ospedale San Giovanni Bosco, Torino, Italy.
Mattia PuppoDepartment of Surgical Sciences, University of Torino, Torino, Italy.ORCID 0000-0003-2966-5949
Angela GravinaDepartment of Medicine, Internal Medicine, Ospedale San Giovanni Bosco, Torino, Italy.
Giorgia FornelliDepartment of Medicine, Internal Medicine, Ospedale San Giovanni Bosco, Torino, Italy.
Giulia LabarileDepartment of Medical Sciences, University of Torino, Torino, Italy.
Santi SciaccaDepartment of Medicine, Internal Medicine, Ospedale San Giovanni Bosco, Torino, Italy.
Tiziana BoveDepartment of Medicine, University of Udine, Udine, Italy.
Dimitrios KarakitsosCritical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.ORCID 0000-0003-3370-7099
Franco ApràDepartment of Medicine, Ospedale San Giovanni Bosco, Torino, Italy.
Michael BlaivasSchool of Medicine, Univ South Carolina, Columbia, SC, USA.
Luigi VetrugnoDepartment of Medicine, University of Udine, Udine, Italy.ORCID 0000-0003-3745-8368

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the accuracy of a new COVID-19 prognostic score based on lung ultrasound (LUS) and previously validated variables in predicting critical illness.

methodsWe conducted a single-center retrospective cohort development and internal validation study of the COVID-19 Worsening Score (COWS), based on a combination of the previously validated COVID-GRAM score (GRAM) variables and LUS. Adult COVID-19 patients admitted to the emergency department (ED) were enrolled. Ten variables previously identified by GRAM, days from symptom onset, LUS findings, and peripheral oxygen saturation/fraction of inspired oxygen (P/F) ratio were analyzed. LUS score as a single predictor was assessed. We evaluated GRAM model's performance, the impact of adding LUS, and then developed a new model based on the most predictive variables.

resultsAmong 274 COVID-19 patients enrolled, 174 developed critical illness. The GRAM score identified 51 patients at high risk of developing critical illness and 132 at low risk. LUS score over 15 (range 0 to 36) was associated with a higher risk ratio of critical illness (RR, 2.05; 95% confidence interval [CI], 1.52-2.77; area under the curve [AUC], 0.63; 95% CI 0.676-0.634). The newly developed COVID-19 Worsening Score relies on five variables to classify high- and low-risk patients with an overall accuracy of 80% and negative predictive value of 93% (95% CI, 87%-98%). Patients scoring more than 0.183 on COWS showed a RR of developing critical illness of 8.07 (95% CI, 4.97-11.1).

conclusionsCOWS accurately identify patients who are unlikely to need intensive care unit (ICU) admission, preserving resources for the remaining high-risk patients.

Indexed as

Critical IllnessIntensive Care UnitsPandemicsAdultAgedAged, 80 and overCohort StudiesCOVID-19FemaleHumansMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexTomography, X-Ray ComputedUnited KingdomCOVID-19critical careintensive carelung sonographylung ultrasoundprognostic score

Identifiers

PMID33491261
PMCPMC8013873

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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.