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      Predictors of sleep disordered breathing in children with Down syndrome: a systematic review and meta-analysis

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          Abstract

          Children with Down syndrome are at increased risk of sleep disordered breathing (SDB). SDB is associated with significant morbidity including neurocognitive impairment, cardiometabolic disease and systemic inflammation. The identification of clinical markers that may predict SDB is critical in facilitating early diagnosis and treatment, and ultimately, preventing morbidity. The objective of this systematic review was to identify predictors of SDB in patients with Down syndrome. A search was conducted using MEDLINE, Embase, the Cochrane Central Register of Controlled Trials and the Cumulative Index to Nursing and Allied Health Literature. A meta-analysis was performed according to the Meta-analyses of Observational Studies in Epidemiology checklist. Our review of the literature identified inconsistent associations between a variety of variables and SDB in children with Down syndrome, although the quality of evidence was poor. Meta-analysis of age and sex identified that children with OSA were older than those without OSA, and there was a similar risk of OSA in males and females, although risk favoured males. Currently, the American Academy of Pediatrics guidelines recommend that children with Down syndrome undergo polysomnography by the age of 4 years. Our review supports the recommendation for routine screening of children with Down syndrome. However, results from our meta-analysis suggest a need for longitudinal screening to diagnose children who may develop SDB as they get older.

          Abstract

          This review identified several predictors of sleep disordered breathing (SDB) in children with Down syndrome. Meta-analysis identified older age as a predictor. This supports routine longitudinal screening of all children with Down syndrome for SDB. https://bit.ly/3KGnqFK

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          Most cited references43

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            Sleep disordered breathing in children in a general population sample: prevalence and risk factors.

            Assess the prevalence based on clinically meaningful criteria (i.e., blood pressure) and identify risk factors of sleep disordered breathing (SDB) in a representative sample of elementary school children. A random sample of the local elementary school children (K-5) were assessed using a two-phased strategy. In phase I a brief questionnaire was completed by a parent of each child in local elementary schools (N = 5,740), with a response rate of 78.5%. In phase II, randomly selected children and their parent spent a night in our sleep laboratory (N = 700) with a response rate of 70.0%. University sleep laboratory. Children enrolled in local elementary schools. None. Each child was assessed with a full polysomnogram and completed a history/physical examination including an electrocardiogram, otolaryngology examination, and pulmonary evaluation. The prevalence of moderate SDB (apnea-hypopnea index > or = 5) was 1.2%. The independent risk factors included nasal abnormalities and minority associated only with mild (1 or = 5 was 1.2% in a representative sample of elementary school children. Risk factors for SDB included waist circumference, nasal abnormalities (e.g., chronic sinusitis/rhinitis), and minority. The strong linear relationship between waist circumference and BMI across all degrees of severity of SDB suggests that, as in adults, metabolic factors may be among the most important risk factors for SDB in children.
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              Hypoxaemia as a Mortality Risk Factor in Acute Lower Respiratory Infections in Children in Low and Middle-Income Countries: Systematic Review and Meta-Analysis

              Objective To evaluate the association between hypoxaemia and mortality from acute lower respiratory infections (ALRI) in children in low- and middle-income countries (LMIC). Design Systematic review and meta-analysis. Study Selection Observational studies reporting on the association between hypoxaemia and death from ALRI in children below five years in LMIC. Data Sources Medline, Embase, Global Health Library, Lilacs, and Web of Science to February 2015. Risk of Bias Assessment Quality In Prognosis Studies tool with minor adaptations to assess the risk of bias; funnel plots and Egger’s test to evaluate publication bias. Results Out of 11,627 papers retrieved, 18 studies from 13 countries on 20,224 children met the inclusion criteria. Twelve (66.6%) studies had either low or moderate risk of bias. Hypoxaemia defined as oxygen saturation rate (SpO2) <90% associated with significantly increased odds of death from ALRI (OR 5.47, 95% CI 3.93 to 7.63) in 12 studies on 13,936 children. An Sp02 <92% associated with a similar increased risk of mortality (OR 3.66, 95% CI 1.42 to 9.47) in 3 studies on 673 children. Sensitivity analyses (excluding studies with high risk of bias and using adjusted OR) and subgroup analyses (by: altitude, definition of ALRI, country income, HIV prevalence) did not affect results. Only one study was performed on children living at high altitude. Conclusions The results of this review support the routine evaluation of SpO2 for identifying children with ALRI at increased risk of death. Both a Sp02 value of 92% and 90% equally identify children at increased risk of mortality. More research is needed on children living at high altitude. Policy makers in LMIC should aim at improving the regular use of pulse oximetry and the availability of oxygen in order to decrease mortality from ALRI.
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                Author and article information

                Journal
                Eur Respir Rev
                Eur Respir Rev
                ERR
                errev
                European Respiratory Review
                European Respiratory Society
                0905-9180
                1600-0617
                30 June 2022
                29 June 2022
                : 31
                : 164
                : 220026
                Affiliations
                [1 ]University of Ottawa, Faculty of Medicine, Ottawa, ON, Canada
                [2 ]Dept of Medicine, University of Toronto, Toronto, ON, Canada
                [3 ]Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada
                [4 ]Division of Respirology, Dept of Pediatrics, Children's Hospital of Eastern Ontario, Ottawa, ON, Canada
                Author notes
                Corresponding author: Sherri L. Katz ( skatz@ 123456cheo.on.ca )
                Author information
                https://orcid.org/0000-0001-8337-980X
                Article
                ERR-0026-2022
                10.1183/16000617.0026-2022
                9489007
                35768130
                1c6a8c91-de49-4276-b547-5d89207fce8c
                Copyright ©The authors 2022

                This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions@ersnet.org

                History
                : 05 February 2022
                : 07 April 2022
                Funding
                Funded by: CHEO Research Institute, doi 10.13039/100014730;
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