Calculating the fraction of Kawasaki disease potentially attributable to seasonal pathogens: a time series analysisResearch in context
Summary: Background: Kawasaki disease is an acute, febrile, systemic vasculitis of children that primarily affects medium-sized blood vessels with a tropism for the coronary arteries. Although the etiological factors remain unknown, infections have been suggested as the trigger of Kawasaki disease....
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-07-01
|
| Series: | EClinicalMedicine |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589537023002559 |
| _version_ | 1797785518293909504 |
|---|---|
| author | Zaba Valtuille Alain Lefevre-Utile Naim Ouldali Constance Beyler Priscilla Boizeau Cécile Dumaine Arthur Felix Zein Assad Albert Faye Isabelle Melki Florentia Kaguelidou Ulrich Meinzer |
| author_facet | Zaba Valtuille Alain Lefevre-Utile Naim Ouldali Constance Beyler Priscilla Boizeau Cécile Dumaine Arthur Felix Zein Assad Albert Faye Isabelle Melki Florentia Kaguelidou Ulrich Meinzer |
| author_sort | Zaba Valtuille |
| collection | DOAJ |
| description | Summary: Background: Kawasaki disease is an acute, febrile, systemic vasculitis of children that primarily affects medium-sized blood vessels with a tropism for the coronary arteries. Although the etiological factors remain unknown, infections have been suggested as the trigger of Kawasaki disease. We sought to calculate the fraction of Kawasaki disease potentially attributable to seasonal infections. Methods: This cohort study used a population-based time series analysis from the French hospitalisation database (Programme de Médicalisation des Systèmes d’Information), which includes all inpatients admitted to any public or private hospital in France. We included all children aged 0–17 years hospitalised for Kawasaki disease in France over 13 years. The monthly incidence of Kawasaki disease per 10,000 children over time was analysed by a quasi-Poisson regression model. The model accounted for seasonality by using harmonic terms (a pair of sines and cosines with 12-month periods). The circulation of eight common seasonal pathogens (adenovirus, influenza, metapneumovirus, Mycoplasma pneumoniae, norovirus, rhinovirus, rotavirus, respiratory syncytial virus, and Streptococcus pneumonia) over the same period was included in the model to analyse the fraction of Kawasaki disease potentially attributable to each pathogen. Infections were identified on the basis of polymerase chain reaction or rapid antigen testing in hospital laboratories. Findings: Between Jan 1, 2007, and Dec 31, 2019, we included 10,337 children with Kawasaki disease and 442,762 children with the selected infectious diseases. In the Kawasaki disease cohort, the median age [IQR] was 2 [0–4] years, 6164 [59.6%] were boys. Adenovirus infection was potentially responsible for 24.4% [21.5–27.8] (p < 0.001) of Kawasaki diseases, Norovirus for 6.7% [1.3–11.2] (p = 0.002), and RSV 4.6% [1.2–7.8] (p = 0.022). Sensitivity analyses found similar results. Interpretation: This cohort study of data from a comprehensive national hospitalisation database indicated that approximately 35% of Kawasaki diseases was potentially attributable to seasonal infections. Funding: None. |
| first_indexed | 2024-03-13T00:55:13Z |
| format | Article |
| id | doaj.art-749573ca98e349d9870b5ae7a8658e92 |
| institution | Directory Open Access Journal |
| issn | 2589-5370 |
| language | English |
| last_indexed | 2024-03-13T00:55:13Z |
| publishDate | 2023-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | EClinicalMedicine |
| spelling | doaj.art-749573ca98e349d9870b5ae7a8658e922023-07-07T04:27:47ZengElsevierEClinicalMedicine2589-53702023-07-0161102078Calculating the fraction of Kawasaki disease potentially attributable to seasonal pathogens: a time series analysisResearch in contextZaba Valtuille0Alain Lefevre-Utile1Naim Ouldali2Constance Beyler3Priscilla Boizeau4Cécile Dumaine5Arthur Felix6Zein Assad7Albert Faye8Isabelle Melki9Florentia Kaguelidou10Ulrich Meinzer11Centre of Clinical Investigations, INSERM CIC1426, Robert-Debré University Hospital, Assistance Publique-Hôpitaux de Paris, F-75019 Paris, FranceGeneral Paediatrics and Paediatric Emergencies, Jean Verdier Hospital, Assistance Publique-Hôpitaux de Paris, F-93140 Paris, France; U976 HIPI Unit, Saint-Louis Research Institute, Université de Paris Cité, Inserm, Paris, FranceDepartment of General Paediatrics, Paediatric Internal Medicine, Rheumatology and Infectious Diseases, National Reference Centre for Rare Paediatric Inflammatory Rheumatisms and Systemic Autoimmune Diseases (RAISE), Robert-Debré University Hospital, Assistance Publique-Hôpitaux de Paris, F-75019 Paris, France; Université Paris Cité, ECEVE, UMR-1123, Paris, FranceDepartment of Paediatric Cardiology, Robert-Debré University Hospital, Assistance Publique-Hôpitaux de Paris, F-75019 Paris, FranceCentre of Clinical Investigations, INSERM CIC1426, Robert-Debré University Hospital, Assistance Publique-Hôpitaux de Paris, F-75019 Paris, France; Université Paris Cité, ECEVE, UMR-1123, Paris, FranceDepartment of General Paediatrics, Paediatric Internal Medicine, Rheumatology and Infectious Diseases, National Reference Centre for Rare Paediatric Inflammatory Rheumatisms and Systemic Autoimmune Diseases (RAISE), Robert-Debré University Hospital, Assistance Publique-Hôpitaux de Paris, F-75019 Paris, France; Université Paris Cité, INSERM U1149, Centre de Recherche sur l’inflammation, F-75018, Paris, FranceDepartment of General Paediatrics, Paediatric Internal Medicine, Rheumatology and Infectious Diseases, National Reference Centre for Rare Paediatric Inflammatory Rheumatisms and Systemic Autoimmune Diseases (RAISE), Robert-Debré University Hospital, Assistance Publique-Hôpitaux de Paris, F-75019 Paris, France; Department of General Paediatrics, Competence Centre RAISE Antilles-Guyane, Martinique University Hospital, MFME. CHU de La Martinique, Fort-de France, FranceDepartment of General Paediatrics, Paediatric Internal Medicine, Rheumatology and Infectious Diseases, National Reference Centre for Rare Paediatric Inflammatory Rheumatisms and Systemic Autoimmune Diseases (RAISE), Robert-Debré University Hospital, Assistance Publique-Hôpitaux de Paris, F-75019 Paris, France; Université Paris Cité, ECEVE, UMR-1123, Paris, FranceDepartment of General Paediatrics, Paediatric Internal Medicine, Rheumatology and Infectious Diseases, National Reference Centre for Rare Paediatric Inflammatory Rheumatisms and Systemic Autoimmune Diseases (RAISE), Robert-Debré University Hospital, Assistance Publique-Hôpitaux de Paris, F-75019 Paris, France; Université Paris Cité, ECEVE, UMR-1123, Paris, FranceDepartment of General Paediatrics, Paediatric Internal Medicine, Rheumatology and Infectious Diseases, National Reference Centre for Rare Paediatric Inflammatory Rheumatisms and Systemic Autoimmune Diseases (RAISE), Robert-Debré University Hospital, Assistance Publique-Hôpitaux de Paris, F-75019 Paris, France; Paediatrics, Rheumatology and Paediatric Internal Medicine, Children's Hospital, Bordeaux, FranceCentre of Clinical Investigations, INSERM CIC1426, Robert-Debré University Hospital, Assistance Publique-Hôpitaux de Paris, F-75019 Paris, France; Université Paris Cité, ECEVE, UMR-1123, Paris, FranceDepartment of General Paediatrics, Paediatric Internal Medicine, Rheumatology and Infectious Diseases, National Reference Centre for Rare Paediatric Inflammatory Rheumatisms and Systemic Autoimmune Diseases (RAISE), Robert-Debré University Hospital, Assistance Publique-Hôpitaux de Paris, F-75019 Paris, France; Université Paris Cité, INSERM U1149, Centre de Recherche sur l’inflammation, F-75018, Paris, France; Institut Pasteur, Université de Paris Cité, Biology and Genetics of Bacterial Cell Wall Unit, Department of Microbiology, Paris, France; Corresponding author. Reference Centre for Rare Paediatric Inflammatory Rheumatisms and Systemic Autoimmune diseases RAISE, Department of General Paediatrics, Paediatric Internal Medicine, Rheumatology and Infectious Diseases, Robert-Debré University Hospital, Assistance Publique-Hôpitaux de Paris, F-75019 Paris, France.Summary: Background: Kawasaki disease is an acute, febrile, systemic vasculitis of children that primarily affects medium-sized blood vessels with a tropism for the coronary arteries. Although the etiological factors remain unknown, infections have been suggested as the trigger of Kawasaki disease. We sought to calculate the fraction of Kawasaki disease potentially attributable to seasonal infections. Methods: This cohort study used a population-based time series analysis from the French hospitalisation database (Programme de Médicalisation des Systèmes d’Information), which includes all inpatients admitted to any public or private hospital in France. We included all children aged 0–17 years hospitalised for Kawasaki disease in France over 13 years. The monthly incidence of Kawasaki disease per 10,000 children over time was analysed by a quasi-Poisson regression model. The model accounted for seasonality by using harmonic terms (a pair of sines and cosines with 12-month periods). The circulation of eight common seasonal pathogens (adenovirus, influenza, metapneumovirus, Mycoplasma pneumoniae, norovirus, rhinovirus, rotavirus, respiratory syncytial virus, and Streptococcus pneumonia) over the same period was included in the model to analyse the fraction of Kawasaki disease potentially attributable to each pathogen. Infections were identified on the basis of polymerase chain reaction or rapid antigen testing in hospital laboratories. Findings: Between Jan 1, 2007, and Dec 31, 2019, we included 10,337 children with Kawasaki disease and 442,762 children with the selected infectious diseases. In the Kawasaki disease cohort, the median age [IQR] was 2 [0–4] years, 6164 [59.6%] were boys. Adenovirus infection was potentially responsible for 24.4% [21.5–27.8] (p < 0.001) of Kawasaki diseases, Norovirus for 6.7% [1.3–11.2] (p = 0.002), and RSV 4.6% [1.2–7.8] (p = 0.022). Sensitivity analyses found similar results. Interpretation: This cohort study of data from a comprehensive national hospitalisation database indicated that approximately 35% of Kawasaki diseases was potentially attributable to seasonal infections. Funding: None.http://www.sciencedirect.com/science/article/pii/S2589537023002559Kawasaki diseaseVirusCovid 19Sars-Cov-2Inflammation |
| spellingShingle | Zaba Valtuille Alain Lefevre-Utile Naim Ouldali Constance Beyler Priscilla Boizeau Cécile Dumaine Arthur Felix Zein Assad Albert Faye Isabelle Melki Florentia Kaguelidou Ulrich Meinzer Calculating the fraction of Kawasaki disease potentially attributable to seasonal pathogens: a time series analysisResearch in context EClinicalMedicine Kawasaki disease Virus Covid 19 Sars-Cov-2 Inflammation |
| title | Calculating the fraction of Kawasaki disease potentially attributable to seasonal pathogens: a time series analysisResearch in context |
| title_full | Calculating the fraction of Kawasaki disease potentially attributable to seasonal pathogens: a time series analysisResearch in context |
| title_fullStr | Calculating the fraction of Kawasaki disease potentially attributable to seasonal pathogens: a time series analysisResearch in context |
| title_full_unstemmed | Calculating the fraction of Kawasaki disease potentially attributable to seasonal pathogens: a time series analysisResearch in context |
| title_short | Calculating the fraction of Kawasaki disease potentially attributable to seasonal pathogens: a time series analysisResearch in context |
| title_sort | calculating the fraction of kawasaki disease potentially attributable to seasonal pathogens a time series analysisresearch in context |
| topic | Kawasaki disease Virus Covid 19 Sars-Cov-2 Inflammation |
| url | http://www.sciencedirect.com/science/article/pii/S2589537023002559 |
| work_keys_str_mv | AT zabavaltuille calculatingthefractionofkawasakidiseasepotentiallyattributabletoseasonalpathogensatimeseriesanalysisresearchincontext AT alainlefevreutile calculatingthefractionofkawasakidiseasepotentiallyattributabletoseasonalpathogensatimeseriesanalysisresearchincontext AT naimouldali calculatingthefractionofkawasakidiseasepotentiallyattributabletoseasonalpathogensatimeseriesanalysisresearchincontext AT constancebeyler calculatingthefractionofkawasakidiseasepotentiallyattributabletoseasonalpathogensatimeseriesanalysisresearchincontext AT priscillaboizeau calculatingthefractionofkawasakidiseasepotentiallyattributabletoseasonalpathogensatimeseriesanalysisresearchincontext AT ceciledumaine calculatingthefractionofkawasakidiseasepotentiallyattributabletoseasonalpathogensatimeseriesanalysisresearchincontext AT arthurfelix calculatingthefractionofkawasakidiseasepotentiallyattributabletoseasonalpathogensatimeseriesanalysisresearchincontext AT zeinassad calculatingthefractionofkawasakidiseasepotentiallyattributabletoseasonalpathogensatimeseriesanalysisresearchincontext AT albertfaye calculatingthefractionofkawasakidiseasepotentiallyattributabletoseasonalpathogensatimeseriesanalysisresearchincontext AT isabellemelki calculatingthefractionofkawasakidiseasepotentiallyattributabletoseasonalpathogensatimeseriesanalysisresearchincontext AT florentiakaguelidou calculatingthefractionofkawasakidiseasepotentiallyattributabletoseasonalpathogensatimeseriesanalysisresearchincontext AT ulrichmeinzer calculatingthefractionofkawasakidiseasepotentiallyattributabletoseasonalpathogensatimeseriesanalysisresearchincontext |