Evidence map›Paper›PMID 40642769›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2025

Surveillance of severe acute respiratory infections associated with SARS-CoV-2, influenza virus and RSV using ICD-10 codes: a case definition accuracy study across five European countries, 2021 to 2023.

Miguel Angel Sanchez Ruiz, Diogo Fp Marques, Frederikke Kristensen Lomholt, Lasse Skafte Vestergaard, Susana Monge, Marcos Lozano Álvarez, Gudrun Aspelund, Marianna Thordardottir, Ausra Dziugyte, John-Paul Cauchi and 13 more

Abstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Surveillance of severe acute respiratory infections using ICD-10 diagnosis codes and national electronic health records, Denmark, 2022 to 2024.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  7. 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

23 authors.

Miguel Angel Sanchez RuizEpiconcept, Paris, France.
Diogo Fp MarquesEpiconcept, Paris, France.
Frederikke Kristensen LomholtDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Lasse Skafte VestergaardDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Susana MongeDepartment of Communicable Diseases, National Centre of Epidemiology, Institute of Health Carlos III, Madrid, Spain.
Marcos Lozano ÁlvarezDepartment of Communicable Diseases, National Centre of Epidemiology, Institute of Health Carlos III, Madrid, Spain.
Gudrun AspelundCentre for Health Security and Communicable Disease Control, Directorate of Health, Reykjavik, Iceland.
Marianna ThordardottirCentre for Health Security and Communicable Disease Control, Directorate of Health, Reykjavik, Iceland.
Ausra DziugyteInfectious Disease Prevention and Control Unit (IDCU), Health Promotion and Disease Prevention, Msida, Malta.
John-Paul CauchiInfectious Disease Prevention and Control Unit (IDCU), Health Promotion and Disease Prevention, Msida, Malta.
Tjarda M BoereCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
Irene K VeldhuijzenCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
Elina SeppäläDepartment of Infection Control and Vaccines, Norwegian Institute of Public Health, Oslo, Norway.
Håkon BøåsDepartment of Infection Control and Vaccines, Norwegian Institute of Public Health, Oslo, Norway.
Trine Hessevik PaulsenDepartment of Infection Control and Vaccines, Norwegian Institute of Public Health, Oslo, Norway.
ESURE SARI groupThe members of the ESURE SARI group are listed under Collaborators.
Ausenda MachadoEpidemiology Department, National Institute of Health Doctor Ricardo Jorge, Lisbon, Portugal.
Ana Paula RodriguesEpidemiology Department, National Institute of Health Doctor Ricardo Jorge, Lisbon, Portugal.
Mariette HooiveldNivel, Utrecht, the Netherlands.
Luis Alves de SousaEuropean Centre for Disease Prevention and Control, Stockholm, Sweden.
Ana TorresEuropean Centre for Disease Prevention and Control, Stockholm, Sweden.
Carlos CarvalhoEuropean Centre for Disease Prevention and Control, Stockholm, Sweden.
Baltazar NunesEpiconcept, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUNDSurveillance of severe acute respiratory infections (SARI) using ICD-10 codes from electronic health records (EHR) lacks consensus on optimal case-defining codes.AIMWe determined codes that maximise sensitivity (Se) and positive predictive value (PPV) for SARI associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza virus and respiratory syncytial virus (RSV) in Denmark, Iceland, Malta, Norway and Spain.METHODSWe included hospitalisations from week 21/2021 to 39/2023, with ICD-10 diagnostic codes for respiratory disease (three-character codes J00-J99) or COVID-19 (U07.1, U07.2, country-specific codes for Denmark). We assessed Se and PPV of individual codes against laboratory results. Based on Se and PPV rank-sum, we selected the top 10 codes and combined them into 10 sets per pathogen. We identified sets that maximised the clinical utility index (CUI = Se × PPV), categorised as excellent (≥ 0.81), good (0.64-0.80), satisfactory (0.49-0.63) and poor (< 0.49).RESULTSWe assessed 395,163 hospitalisations for SARI-SARS-CoV-2, 313,418 for SARI-influenza and 192,936 for SARI-RSV, all tested. For SARI-SARS-CoV-2, code U07.1 (B34.2A, B97.2A for Denmark) had excellent utility in Denmark, Malta, Norway, Spain (≥ 0.82), and good utility in Iceland (0.79). For SARI-influenza, J09, J10 and J11 performed excellently in Denmark, Norway, Spain (≥ 0.83), satisfactorily in Malta (0.52), and poorly in Iceland (0.43). For SARI-RSV, J12, J20 and J21 achieved highest CUI but had poor utility (0.17-0.34).CONCLUSIONSCOVID-19- and influenza-specific three-character ICD-10 codes accurately identified SARI associated with SARS-CoV-2 and influenza virus. For SARI-RSV, four-character codes should be explored. We recommend context-specific assessments in countries adopting EHR-based surveillance.

Indexed as

COVID-19Influenza, HumanInternational Classification of DiseasesRespiratory Syncytial Virus InfectionsRespiratory Tract InfectionsElectronic Health RecordsEuropeFemaleHospitalizationHumansIcelandMaleMiddle AgedPopulation SurveillanceSARS-CoV-2Electronic Health RecordsInfluenza – HumanInternational Classification of DiseasesRespiratory Syncytial Virus – HumanSARS-CoV-2Surveillance

Identifiers

PMID40642769
PMCPMC12262114

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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.