Evidence map›Paper›PMID 34519377›Full record

ArticleJournal of advanced nursing2022

Comorbidity-adjusted NEWS predicts mortality in suspected patients with COVID-19 from nursing homes: Multicentre retrospective cohort study.

Francisco Martín-Rodríguez, Ancor Sanz-García, Laura Melero Guijarro, Guillermo J Ortega, Marta Gómez-Escolar Pérez, Miguel A Castro Villamor, Julio C Santos Pastor, Juan F Delgado Benito, Raúl López-Izquierdo

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of advanced nursing, 2022. 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
1.2field-weighted citation impact, top 18% 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, 6 citations in OpenAlex.

  1. Article
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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 7 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.ORCID https://orcid.org/0000-0002-1773-2860
Ancor Sanz-GarcíaUnidad de Análisis de Datos (UAD) del Instituto de Investigación Sanitaria del Hospital de la Princesa (IIS-IP), Madrid, Spain.ORCID https://orcid.org/0000-0002-5024-5108
Laura Melero GuijarroServicio de Urgencias, Complejo Asistencial Universitario de Palencia, Gerencia Regional de Salud de Castilla y León (SACYL), Palencia, Spain.
Guillermo J OrtegaUnidad de Análisis de Datos (UAD) del Instituto de Investigación Sanitaria del Hospital de la Princesa (IIS-IP), Madrid, Spain.
Marta Gómez-Escolar PérezCentro Coordinador de Urgencias, Gerencia de Emergencias Sanitarias, Gerencia Regional de Salud de Castilla y León (SACYL), Valladolid, Spain.
Miguel A Castro VillamorCentro de Simulación Clínica Avanzada, Departamento de Medicina, Dermatología y Toxicología, Facultad de Medicina, Universidad de Valladolid, Valladolid, Spain.
Julio C Santos PastorServicio de Urgencias, Complejo Asistencial de Segovia, Gerencia Regional de Salud de Castilla y León (SACYL), Segovia, Spain.
Juan F Delgado BenitoUnidad Móvil de Emergencias de Salamanca, Gerencia de Emergencias Sanitarias, Gerencia Regional de Salud de Castilla y León (SACYL), Salamanca, Spain.
Raúl López-IzquierdoServicio de Urgencias, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), Valladolid, Spain.
Universidad de Valladolid · ESComplejo Asistencial Universitario de Palencia · ESConsejo Nacional de Investigaciones Científicas y Técnicas · ARHospital Universitario de La Princesa · ESHospital Universitario Río Hortega · ESInstituto de Estudios de Ciencias de la Salud de Castilla y León · ESJunta de Castilla y León · ES

Funding

Gerencia Regional de Salud, Public Health System of Castilla y León GRS COVID 7/A/20
6 · The paper itself

Abstract

aimsTo assess the prognostic accuracy of comorbidity-adjusted National Early Warning Score in suspected Coronavirus disease 2019 patients transferred from nursing homes by the Emergency Department.

designMulticentre retrospective cohort study.

methodsPatients transferred by high-priority ambulances from nursing homes to Emergency Departments with suspected severe acute respiratory syndrome coronavirus 2 infection, from March 12 to July 31 2020, were considered. Included variables were: clinical covariates (respiratory rate, oxygen saturation, systolic blood pressure, heart rate, temperature, level of consciousness and supplemental oxygen use), the presence of comorbidities and confirmatory analytical diagnosis of severe acute respiratory syndrome coronavirus 2 infection. The primary outcome was a 2-day mortality rate. The discriminatory capability of the National Early Warning Score was assessed by the area under the receiver operating characteristic curve in two different cohorts, the validation and the revalidation, which were randomly selected from the main cohort.

resultsA total of 337 nursing homes, 10 advanced life support units, 51 basic life support units and 8 hospitals in Spain entailing 1,324 patients (median age 87 years) was involved in this study. Two-day mortality was 11.5% (152 cases), with a positivity rate of severe acute respiratory syndrome coronavirus 2 of 51.2%, 77.7% of hospitalization from whom 1% was of intensive care unit admission. The National Early Warning Score results for the revalidation cohort presented an AUC of 0.771, and of 0.885, 0.778 and 0.730 for the low-, medium- and high-level groups of comorbidities.

conclusionThe comorbidity-adjusted National Early Warning Score provides a good short-term prognostic criterion, information that can help in the decision-making process to guide the best strategy for each older adult, under the current pandemic. IMPACT: What problem did the study address? Under the current coronavirus disease 2019 pandemic, targeting older adults at high risk of deterioration in nursing homes remains challenging. What were the main findings? Comorbidity-adjusted National Early Warning Score helps to forecast the risk of clinical deterioration more accurately. Where and on whom will the research have impact? A high NEWS, with a low level of comorbidity is associated with optimal predictive performance, making these older adults likely to benefit from continued follow up and potentially hospital referral under the current coronavirus disease 2019 pandemic.

Indexed as

COVID-19AgedAged, 80 and overCohort StudiesComorbidityHospital MortalityHumansIntensive Care UnitsNursing HomesRetrospective StudiesRisk Assessmentclinical decisions rulescomorbidityCOVID-19nursenursing homesolder adultsrisk scores

Identifiers

PMID34519377
PMCPMC8657335
OpenAlexW3199775521

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.