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10.2807/1560-7917.ES.2025.30.27.2400748 http://scihub22266oqcxt.onion/10.2807/1560-7917.ES.2025.30.27.2400748 40642769!ä!40642769 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=40642769&cmd=llinks): Failed to open stream: HTTP request failed! 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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 |pdf=|usr=}}{{40642769}} gab.com Text 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 JO: Euro Surveill http://www.kidney.de/pget.php?&tw=1&pmid=40642769 #FOAvip 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?x?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. Twit Text FOAVip 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 ????Euro Surveill http://www.kidney.de/pget.php?&tw=1&pmid=40642769 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=40642769 #FOAvip English Wikipedia <ref>{{Cite pmid|40642769}}</ref> 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 #MMPMID40642769 Sanchez Ruiz MA; Marques DF; Lomholt FK; Vestergaard LS; Monge S; Lozano Alvarez M; Aspelund G; Thordardottir M; Dziugyte A; Cauchi JP; Boere TM; Veldhuijzen IK; Seppala E; Boas H; Paulsen TH; Machado A; Rodrigues AP; Hooiveld M; Alves de Sousa L; Torres A; Carvalho C; Nunes B Euro Surveill 2025[Jul]; 30 (27): ä PMID40642769show ga 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?x?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. |*COVID-19/epidemiology/diagnosis[MESH] |*Influenza, Human/epidemiology/diagnosis[MESH] |*International Classification of Diseases[MESH] |*Respiratory Syncytial Virus Infections/epidemiology/diagnosis[MESH] |*Respiratory Tract Infections/epidemiology/diagnosis/virology[MESH] |Electronic Health Records[MESH] |Europe/epidemiology[MESH] |Female[MESH] |Hospitalization/statistics & numerical data[MESH] |Humans[MESH] |Iceland/epidemiology[MESH] |Male[MESH] |Middle Aged[MESH] |Population Surveillance[MESH]Surveillance of severe acute respiratory infections associated with SA(epmc).pdf DeepDyve Pubget Overpricing