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      Risk factors associated with severe disease in respiratory syncytial virus infected children under 5 years of age

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          Abstract

          Objective

          To evaluate risk factors for severe disease in children under 59 months of age hospitalized with respiratory syncytial virus (RSV) infection.

          Study design

          We prospectively enrolled 1,096 cases of laboratory confirmed RSV infection during three consecutive RSV seasons in 2015–2018. Potential risk factors for severe disease were retrieved through patient questionnaires and linkage to national health registries. Need for respiratory support (invasive ventilation, bi-level positive airway pressure, or continuous positive airway pressure), and length of stay exceeding 72 h were used as measures of disease severity. Associations were investigated using multivariable logistic regression analyses. Multiple imputation was used to avoid bias and inference induced by missing data.

          Results

          Risk factors associated with a need for respiratory support included age younger than 3 months of age [aOR: 6.73 (95% CI 2.71–16.7)], having siblings [aOR: 1.65 (95% CI 1.05–2.59)] and comorbidity [aOR: 2.40 (95% CI 1.35–4.24)]. The length of hospital stay >72 h was significantly associated with being younger than 3 months of age [aOR: 3.52 (95% CI 1.65–7.54)], having siblings [aOR: 1.45 (95% CI 1.01–2.08)], and comorbidity [aOR: 2.18 (95% CI 1.31–3.61)]. Sub-group analysis of children younger than 6 months of age confirmed the association between both young age and having siblings and the need for respiratory support.

          Conclusion

          In a large cohort of children <59 months hospitalized with RSV infection, young age, comorbidity, and having siblings were associated with more severe disease.

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          Most cited references45

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          Multiple imputation using chained equations: Issues and guidance for practice

          Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how to impute categorical and quantitative variables, including skewed variables. We give guidance on how to specify the imputation model and how many imputations are needed. We describe the practical analysis of multiply imputed data, including model building and model checking. We stress the limitations of the method and discuss the possible pitfalls. We illustrate the ideas using a data set in mental health, giving Stata code fragments. 2010 John Wiley & Sons, Ltd.
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            Global, regional, and national disease burden estimates of acute lower respiratory infections due to respiratory syncytial virus in young children in 2015: a systematic review and modelling study

            Summary Background We have previously estimated that respiratory syncytial virus (RSV) was associated with 22% of all episodes of (severe) acute lower respiratory infection (ALRI) resulting in 55 000 to 199 000 deaths in children younger than 5 years in 2005. In the past 5 years, major research activity on RSV has yielded substantial new data from developing countries. With a considerably expanded dataset from a large international collaboration, we aimed to estimate the global incidence, hospital admission rate, and mortality from RSV-ALRI episodes in young children in 2015. Methods We estimated the incidence and hospital admission rate of RSV-associated ALRI (RSV-ALRI) in children younger than 5 years stratified by age and World Bank income regions from a systematic review of studies published between Jan 1, 1995, and Dec 31, 2016, and unpublished data from 76 high quality population-based studies. We estimated the RSV-ALRI incidence for 132 developing countries using a risk factor-based model and 2015 population estimates. We estimated the in-hospital RSV-ALRI mortality by combining in-hospital case fatality ratios with hospital admission estimates from hospital-based (published and unpublished) studies. We also estimated overall RSV-ALRI mortality by identifying studies reporting monthly data for ALRI mortality in the community and RSV activity. Findings We estimated that globally in 2015, 33·1 million (uncertainty range [UR] 21·6–50·3) episodes of RSV-ALRI, resulted in about 3·2 million (2·7–3·8) hospital admissions, and 59 600 (48 000–74 500) in-hospital deaths in children younger than 5 years. In children younger than 6 months, 1·4 million (UR 1·2–1·7) hospital admissions, and 27 300 (UR 20 700–36 200) in-hospital deaths were due to RSV-ALRI. We also estimated that the overall RSV-ALRI mortality could be as high as 118 200 (UR 94 600–149 400). Incidence and mortality varied substantially from year to year in any given population. Interpretation Globally, RSV is a common cause of childhood ALRI and a major cause of hospital admissions in young children, resulting in a substantial burden on health-care services. About 45% of hospital admissions and in-hospital deaths due to RSV-ALRI occur in children younger than 6 months. An effective maternal RSV vaccine or monoclonal antibody could have a substantial effect on disease burden in this age group. Funding The Bill & Melinda Gates Foundation.
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              Inference and missing data

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                Author and article information

                Contributors
                Journal
                Front Pediatr
                Front Pediatr
                Front. Pediatr.
                Frontiers in Pediatrics
                Frontiers Media S.A.
                2296-2360
                30 August 2022
                2022
                : 10
                : 1004739
                Affiliations
                [1] 1Department of Paediatric and Adolescent Medicine, Akershus University Hospital , Lørenskog, Norway
                [2] 2Norwegian Institute of Public Health , Oslo, Norway
                [3] 3Department of Microbiology , Oslo University Hospital, Oslo, Norway
                [4] 4Division of Paediatric and Adolescent Medicine, Oslo University Hospital Ullevål , Oslo, Norway
                [5] 5Department of Paediatrics, Østfold Hospital Kalnes , Grålum, Norway
                [6] 6Division of Paediatric and Adolescent Medicine, Institute of Clinical Medicine, University of Oslo , Oslo, Norway
                [7] 7Department of Medical Microbiology, Østfold Hospital Kalnes , Grålum, Norway
                [8] 8Department of Paediatrics, St. Olavs University Hospital , Trondheim, Norway
                [9] 9Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology , Trondheim, Norway
                [10] 10Department of Medical Microbiology, St. Olavs University Hospital , Trondheim, Norway
                [11] 11Department of Paediatric and Adolescent Medicine, Stavanger University Hospital , Stavanger, Norway
                [12] 12Department of Medical Microbiology, Stavanger University Hospital , Stavanger, Norway
                Author notes

                Edited by: Maurizio Aricò, Department of Pediatrics, Italy

                Reviewed by: Enrico Valletta, Azienda Unità Sanitaria Locale (AUSL) della Romagna, Italy; Anna Camporesi, Ospedale dei Bambini Vittore Buzzi, Italy

                *Correspondence: Lise Beier Havdal l.b.havdal@ 123456medisin.uio.no

                This article was submitted to Pediatric Infectious Diseases, a section of the journal Frontiers in Pediatrics

                Article
                10.3389/fped.2022.1004739
                9468371
                36110112
                bf56fed6-f1cb-41bd-aff2-4662279f4061
                Copyright © 2022 Havdal, Bøås, Bekkevold, Bakken Kran, Rojahn, Størdal, Debes, Døllner, Nordbø, Barstad, Haarr, Fernández, Nakstad, Inchley and Flem.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 July 2022
                : 11 August 2022
                Page count
                Figures: 1, Tables: 4, Equations: 0, References: 51, Pages: 11, Words: 7193
                Categories
                Pediatrics
                Original Research

                respiratory syncytial virus (rsv),risk factor (rf),disease severity analysis,pediatric infection,respiratory infection

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