Evidence map›Paper›PMID 37293850›Full record

ArticleRevista espanola de salud publica2023

[Factors associated with the risk of hospitalization and death related to SARS-CoV-2 infection.]

María Del Carmen de Diego-Castell, Eduardo García-López, Jaime González-González, Joaquín Antonio Álvarez-Gregori, Alicia Mohedano-Moriano, Juan José Criado-Álvarez

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Revista espanola de salud publica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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

6 authors at 3 institutions in 1 country.

María Del Carmen de Diego-CastellMédico Residente de Medicina Familiar y Comunitaria. Centro de Salud Santa Olalla, Gerencia de Atención Integrada de Talavera de la Reina. Talavera de la Reina (Toledo). España.
Eduardo García-LópezMédico Residente de Medicina Familiar y Comunitaria. Centro de Salud Presentación Sabio. Móstoles (Madrid). España.
Jaime González-GonzálezProfesor Asociado de la Universidad de Castilla-La Mancha (UCLM). Talavera de la Reina (Toledo). España.
Joaquín Antonio Álvarez-GregoriMédico de Medicina Familiar y Comunitaria. Servicio de Urgencias del Hospital Nuestra Señora del Prado, Gerencia de Atención Integrada de Talavera de la Reina. Talavera de la Reina (Toledo). España.
Alicia Mohedano-MorianoProfesor Asociado de la Universidad de Castilla-La Mancha (UCLM). Talavera de la Reina (Toledo). España.
Juan José Criado-ÁlvarezProfesor Asociado de la Universidad de Castilla-La Mancha (UCLM). Talavera de la Reina (Toledo). España.
Servicio de Salud de Castilla La Mancha · ESHospital General Nuestra Señora del Prado · ESSociedad Andaluza de Medicina Familiar y Comunitaria · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCOVID-19 has tried out global health causing high mortality. There are some risk factors that associate greater severity and mortality from COVID-19; but their individual impact is unknown yet. There are also no fixed criteria for hospital admission. For this reason, this study aimed to analyze the factors associated with the severity of COVID-19 and create predictive models for the risk of hospitalization and death due to COVID-19.

methodsA descriptive retrospective cohort study was made in Talavera de la Reina (Toledo, Spain). Data were collected through computerized records of Primary Care, Emergencies and Hospitalization. The sample consisted of 275 patients over eighteen years old diagnosed with COVID-19 in a centralized laboratory from March 1st to May 31st, 2020. Analysis was carried on using SPSS, creating two predictive models for the risk of hospitalization and death using linear regression.

resultsThe probability of hospitalization increased independently with polypharmacy (OR 1.086; CI95% 1.009-1.169), the Charlson index (OR 1.613; CI95% 1.158-2.247), the history of acute myocardial infarction (AMI) (OR 4.358; 95% CI 1.114-17.051) and the presence of COVID symptoms (OR 7.001; 95% CI 2.805-17.475). The probability of death was independently associated with age, increasing 8.1% (OD 1.081; 95% CI 1.054- 1.110) for each year of the patient.

conclusionsComorbidity, polypharmacy, history of AMI and the presence of COVID-19 symptoms predict the risk of hospitalization. The age of individuals predicts the risk of death. Detecting patients at high risk of hospitalization and death allows us to define the target population and define measures to implement.

Indexed as

COVID-19AdolescentComorbidityHospitalizationHumansRetrospective StudiesRisk FactorsSARS-CoV-2SpainComorbidityCOVID-19DeathHospitalizationSpain

Identifiers

PMID37293850
PMCPMC10540890
OpenAlexW4379966740

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.