Evidence map›Paper›PMID 40503697›Full record

ArticleRevista espanola de salud publica2025

[Validity of case definitions for Severe Acute Respiratory Infection based on ICD-10 codes in four autonomous communities (Spain, 2021-2023)].

Marcos Lozano Álvarez, Alba Moya Garcés, Liher Imaz Goienetxea, Ana Sofía Lameiras Azevedo, María Teresa Otero Barros, Carlota Ruiz de Porras Rubio, Pello Latasa Zamalloa, Miriam López Torrijos, Francisca Corpas Burgos, Diogo Marques and 3 more

Abstract readValidation StudyEnglish Abstract
In one paragraph

Article in Revista espanola de salud publica, 2025. 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.

  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

13 authors.

Marcos Lozano ÁlvarezCentro Nacional de Epidemiología. Instituto de Salud Carlos III. Madrid. España.
Alba Moya GarcésAgència de Salut Pública de Catalunya (ASPCAT), Generalitat de Catalunya. Barcelona. España.
Liher Imaz GoienetxeaSubdirección de Salud Pública de Bizkaia, Delegación Territorial de Salud de Bizkaia, Departamento de Salud del Gobierno Vasco. Bilbao. España.
Ana Sofía Lameiras AzevedoServicio de Vigilancia y Control Epidemiológico, Subdirección General de Epidemiología y Vigilancia de la Salud, Dirección General de Salud Pública de la Comunitat Valenciana. Valencia. España.
María Teresa Otero BarrosServicio de Vigilancia Epidemiológica, Centro Galego para o Control e Prevención das Enfermidades, Dirección Xeral de Saúde Pública, Consellería de Sanidade, Xunta de Galicia. Santiago de Compostela. España.
Carlota Ruiz de Porras RubioAgència de Salut Pública de Catalunya (ASPCAT), Generalitat de Catalunya. Barcelona. España.
Pello Latasa ZamalloaDirección de Salud Pública y Adicciones, Departamento de Salud del Gobierno Vasco. Vitoria. España.
Miriam López TorrijosServicio de Vigilancia y Control Epidemiológico, Subdirección General de Epidemiología y Vigilancia de la Salud, Dirección General de Salud Pública de la Comunitat Valenciana. Valencia. España.
Francisca Corpas BurgosServicio de Vigilancia y Control Epidemiológico, Subdirección General de Epidemiología y Vigilancia de la Salud, Dirección General de Salud Pública de la Comunitat Valenciana. Valencia. España.
Diogo MarquesEpiConcept. París. España.
Miguel Ángel Sánchez RuizEpiConcept. París. España.
Olaia Pérez MartínezServicio de Vigilancia Epidemiológica, Centro Galego para o Control e Prevención das Enfermidades, Dirección Xeral de Saúde Pública, Consellería de Sanidade, Xunta de Galicia. Santiago de Compostela. España.
Susana MongeCentro Nacional de Epidemiología. Instituto de Salud Carlos III. Madrid. España.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveICD-10 diagnostic codes could be useful for automated surveillance of Severe Acute Respiratory Infection (SARI). This study analyzed the validity of different SARI case definitions (CD) based on ICD-10 codes at hospital discharge in Catalonia, the Valencian Community, Galicia and the Basque Country between weeks 21/2021 and 39/2023.

methodsPatients with respiratory system codes (J00 to J99, R06, U07) and with a laboratory test performed were included, with the gold standard being positivity to the corresponding pathogen. The validity of all possible combinations of ICD-10 codes was estimated, prioritizing the CDs according to the average sensitivity (Se) and specificity (Sp). Validity was estimated by age groups, but expert criteria were used to seek the optimal CD, unique for each pathogen, balancing validity and simplicity.

resultsThe CD selected for influenza for any age included the specific codes J09.X, J10.0, J10.1, J10.2, J10.8 and J11 (Se=95.4; Sp=99.7), and for SARS-CoV-2, codes U07.1 and J12.8 (Se=95.9; Sp=98.3). For RSV, validity was lower, with significant heterogeneity by age and inclusion of non-specific codes. The optimal CD included codes J06, J12.1, J13, J20.5, J21.0 and J45 (Se=63.9; Sp=88.4), recommending adding J98 for adults and when it is important to maximize Se (Se=88.9; Sp=65.3). The overall CD for the three viruses was consistent with the specific CDs.

conclusionsThe ICD-10 codes provides great validity in identifying influenza and SARS-CoV-2 hospitalizations, but shows poorer performance and greater age-group variability for RSV.

Indexed as

International Classification of DiseasesRespiratory Tract InfectionsAcute DiseaseAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCOVID-19FemaleHumansInfantInfluenza, HumanMaleMiddle AgedCIE-10GripeSARS-CoV-2SpainVRS

Identifiers

PMID40503697
PMCPMC12160418

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.