Evidence map›Paper›PMID 35193439›Full record

ArticleAnnals of medicine2022

One-on-one comparison between qCSI and NEWS scores for mortality risk assessment in patients with COVID-19.

Francisco Martín-Rodríguez, Ancor Sanz-García, Guillermo J Ortega, Juan F Delgado-Benito, Eduardo García Villena, Cristina Mazas Pérez-Oleaga, Raúl López-Izquierdo, Miguel A Castro Villamor

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Annals of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 2 countries.

Francisco Martín-RodríguezUnidad Móvil de Emergencias Valladolid I, Gerencia de Emergencias Sanitarias, Gerencia Regional de Salud de Castilla y León (SACYL), Valladolid, Spain.
Ancor Sanz-GarcíaData Analysis Unit, Instituto de Investigación Sanitaria del Hospital de la Princesa (IIS-IP), Madrid, Spain.ORCID 0000-0002-5024-5108
Guillermo J OrtegaData Analysis Unit, Instituto de Investigación Sanitaria del Hospital de la Princesa (IIS-IP), Madrid, Spain.
Juan F Delgado-BenitoUnidad Móvil de Emergencias de Salamanca, Gerencia de Emergencias Sanitarias, Gerencia Regional de Salud de Castilla y León (SACYL), Valladolid, Spain.
Eduardo García VillenaEscuela Politécnica Superior, Universidad Europea del Atlántico, Santander, Spain.
Cristina Mazas Pérez-OleagaEscuela Politécnica Superior, Universidad Europea del Atlántico, Santander, Spain.
Raúl López-IzquierdoServicio de Urgencias, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), Valladolid, Spain.
Miguel A Castro VillamorCentro de Simulación Clínica Avanzada, Facultad de Medicina, Universidad de Valladolid, Valladolid, Spain.
Universidad de Valladolid · ESUniversidad Europea del Atlántico · ESConsejo Nacional de Investigaciones Científicas y Técnicas · ARHospital Universitario de La Princesa · ESInstituto de Estudios de Ciencias de la Salud de Castilla y León · ESJunta de Castilla y León · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the predictive value of the quick COVID-19 Severity Index (qCSI) and the National Early Warning Score (NEWS) for 90-day mortality amongst COVID-19 patients.

methodsMulticenter retrospective cohort study conducted in adult patients transferred by ambulance to an emergency department (ED) with suspected COVID-19 infection subsequently confirmed by a SARS-CoV-2 test (polymerase chain reaction). We collected epidemiological data, clinical covariates (respiratory rate, oxygen saturation, systolic blood pressure, heart rate, temperature, level of consciousness and use of supplemental oxygen) and hospital variables. The primary outcome was cumulative all-cause mortality during a 90-day follow-up, with mortality assessment monitoring time points at 1, 2, 7, 14, 30 and 90 days from ED attendance. Comparison of performances for 90-day mortality between both scores was carried out by univariate analysis.

resultsFrom March to November 2020, we included 2,961 SARS-CoV-2 positive patients (median age 79 years, IQR 66-88), with 49.2% females. The qCSI score provided an AUC ranging from 0.769 (1-day mortality) to 0.749 (90-day mortality), whereas AUCs for NEWS ranging from 0.825 for 1-day mortality to 0.777 for 90-day mortality. At all-time points studied, differences between both scores were statistically significant (

conclusionPatients with SARS-CoV-2 can rapidly develop bilateral pneumonias with multiorgan disease; in these cases, in which an evacuation by the EMS is required, reliable scores for an early identification of patients with risk of clinical deterioration are critical. The NEWS score provides not only better prognostic results than those offered by qCSI at all the analyzed time points, but it is also better suited for COVID-19 patients.KEY MESSAGESThis work aims to determine whether NEWS is the best score for mortality risk assessment in patients with COVID-19.AUCs for NEWS ranged from 0.825 for 1-day mortality to 0.777 for 90-day mortality and were significantly higher than those for qCSI in these same outcomes.NEWS provides a better prognostic capacity than the qCSI score and allows for long-term (90 days) mortality risk assessment of COVID-19 patients.

Indexed as

COVID-19AdultAgedFemaleHospital MortalityHumansMaleRetrospective StudiesRisk AssessmentSARS-CoV-2Clinical decision rules COVID-19 Risk Scores NEWSqCSI

Identifiers

PMID35193439
PMCPMC8881067
OpenAlexW4213424136

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.