Evidence map›Paper›PMID 37938500›Full record

Observational studyEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2024

Usefulness of a predictive model to hospitalize patients with low-risk community-acquired pneumonia.

Adriana Lama, Francisco Gude, María Elena Toubes, Ana Casal, Jorge Ricoy, Carlos Rábade, Nuria Rodríguez-Núñez, Ana Cao-Ríos, Uxío Calvo, Luis Valdés

Abstract readObservational Study
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In one paragraph

Observational study in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Adriana LamaServicio de Neumología, Complejo Hospitalario Universitario de Santiago, Travesía da Choupana S/N, 15706, Santiago de Compostela, Spain.
Francisco GudeConcepción Arenal Primary Care Centre Grupo de Métodos de Investigación, Instituto de Investigaciones Sanitarias de Santiago (IDIS), Unidad de Epidemiología Clínica Complejo Hospitalario Clínico-Universitario de Santiago, Santiago de Compostela, Spain.
María Elena ToubesServicio de Neumología, Complejo Hospitalario Universitario de Santiago, Travesía da Choupana S/N, 15706, Santiago de Compostela, Spain.
Ana CasalServicio de Neumología, Complejo Hospitalario Universitario de Santiago, Travesía da Choupana S/N, 15706, Santiago de Compostela, Spain. ana.casal.mourino@sergas.es.ORCID http://orcid.org/0000-0001-5152-8903
Jorge RicoyServicio de Neumología, Complejo Hospitalario Universitario de Santiago, Travesía da Choupana S/N, 15706, Santiago de Compostela, Spain.
Carlos RábadeServicio de Neumología, Complejo Hospitalario Universitario de Santiago, Travesía da Choupana S/N, 15706, Santiago de Compostela, Spain.
Nuria Rodríguez-NúñezServicio de Neumología, Complejo Hospitalario Universitario de Santiago, Travesía da Choupana S/N, 15706, Santiago de Compostela, Spain.
Ana Cao-RíosConcepción Arenal Primary Care Centre Grupo de Métodos de Investigación, Instituto de Investigaciones Sanitarias de Santiago (IDIS), Unidad de Epidemiología Clínica Complejo Hospitalario Clínico-Universitario de Santiago, Santiago de Compostela, Spain.
Uxío CalvoServicio de Neumología, Complejo Hospitalario Universitario de Santiago, Travesía da Choupana S/N, 15706, Santiago de Compostela, Spain.
Luis ValdésServicio de Neumología, Complejo Hospitalario Universitario de Santiago, Travesía da Choupana S/N, 15706, Santiago de Compostela, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA high proportion of patients with low-risk community-acquired pneumonia (CAP) (classes I-III of the Pneumonia Severity Index) are hospitalized. The purpose of this study was to determine whether validated severity scales are used in clinical practice to make admission decisions, identify the variables that influence this decision, and evaluate the potential predictive value of these variables. MATERIALS AND

methodsA prospective, observational study of patients ≥ 18 years of age with a diagnosis of low-risk CAP hospitalized or referred from the Emergency Department to outpatient consultations. A multivariate logistic regression predictive model was built to predict the decision to hospitalize a patient.

resultsThe study population was composed of 1,208 patients (806 inpatients and 402 outpatients). The severity of CAP was estimated in 250 patients (20.7%). The factors that determined hospitalization were "abnormal findings in complementary studies" (643/806: 79.8%; due to respiratory failure in 443 patients) and "signs of clinical deterioration" [64/806 (7.9%): hypotension (16/64, 25%); hemoptoic expectoration (12/64, 18.8%); tachypnea (10/64, 15.6%)]. In total, ambulatory management was not contraindicated in 24.7% of hospitalized patients (199). The predictive model built to decide about hospitalization had a good power of discrimination (AUC 0.876; 95%CI: 0.855-0.897).

conclusionsScales are rarely used to estimate the severity of CAP at the emergency department. The decision to hospitalize or not a patient largely depends on the clinical experience of the physician. Our predictive model showed a good power to discriminate the patients who required hospitalization. Further studies are warranted to validate these results.

Indexed as

Community-Acquired InfectionsPneumoniaHospitalizationHumansLogistic ModelsProspective StudiesSeverity of Illness IndexCommunity-acquired pneumoniaHospitalizationLow-riskPredictive model

Identifiers

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Registered trials

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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.