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Predicting developmental dysplasia of the hip in at-risk newborns

BACKGROUND: The development of developmental dysplasia of the hip can be attributed to several risk factors and often in combination with each other. When predicting the likelihood of developing this condition, clinicians tend to over and underestimate its likelihood of occurring. Therefore, the stu...

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Autores principales: Roposch, Andreas, Protopapa, Evangelia, Malaga-Shaw, Olivia, Gelfer, Yael, Humphries, Paul, Ridout, Deborah, Wedge, John H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341560/
https://www.ncbi.nlm.nih.gov/pubmed/32635922
http://dx.doi.org/10.1186/s12891-020-03454-4
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author Roposch, Andreas
Protopapa, Evangelia
Malaga-Shaw, Olivia
Gelfer, Yael
Humphries, Paul
Ridout, Deborah
Wedge, John H.
author_facet Roposch, Andreas
Protopapa, Evangelia
Malaga-Shaw, Olivia
Gelfer, Yael
Humphries, Paul
Ridout, Deborah
Wedge, John H.
author_sort Roposch, Andreas
collection PubMed
description BACKGROUND: The development of developmental dysplasia of the hip can be attributed to several risk factors and often in combination with each other. When predicting the likelihood of developing this condition, clinicians tend to over and underestimate its likelihood of occurring. Therefore, the study aim is to determine among at-risk newborns how to best predict developmental dysplasia of the hip (DDH) within 8 weeks post-partum. METHODS: Prospective cohort study in secondary care. Patient population included newborns at-risk for DDH – we assessed 13,276 consecutive newborns for the presence of DDH risk factors. Only newborns with at least one of the predefined risk factors and those showing an abnormal examination of the hip were enrolled (n = 2191). For the development of a risk prediction model we considered 9 candidate predictors and other variables readily available at childbirth. The main outcome measure was ultrasonography at a median age of 8 weeks using consensus diagnostic criteria; outcome assessors were blinded. RESULTS: The risk model includes four predictors: female sex (OR = 5.6; 95% CI: 2.9–10.9; P <  0.001); first degree family history of DDH (OR = 4.5; 95% CI: 2.3–9.0; P <  0.001), birthweight > 4000 g (OR = 1.6; 95% CI: 0.6–4.2; P = 0.34), and abnormal examination of hip (OR = 58.8; 95% CI: 31.9, 108.5; P <  0.001). This model demonstrated excellent discrimination (C statistic = 0.9) and calibration of observed and predicted risk (P = 0.35). A model without the variable ‘hip examination’ demonstrated similar performance. CONCLUSION: The risk model quantifies absolute risk of DDH within 8 weeks postpartum in at-risk newborns. Based on clinical variables readily available at the point of childbirth, the model will enhance parental counselling and could serve as the basis for real time decisions prior to discharge from maternity wards.
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spelling pubmed-73415602020-07-14 Predicting developmental dysplasia of the hip in at-risk newborns Roposch, Andreas Protopapa, Evangelia Malaga-Shaw, Olivia Gelfer, Yael Humphries, Paul Ridout, Deborah Wedge, John H. BMC Musculoskelet Disord Research Article BACKGROUND: The development of developmental dysplasia of the hip can be attributed to several risk factors and often in combination with each other. When predicting the likelihood of developing this condition, clinicians tend to over and underestimate its likelihood of occurring. Therefore, the study aim is to determine among at-risk newborns how to best predict developmental dysplasia of the hip (DDH) within 8 weeks post-partum. METHODS: Prospective cohort study in secondary care. Patient population included newborns at-risk for DDH – we assessed 13,276 consecutive newborns for the presence of DDH risk factors. Only newborns with at least one of the predefined risk factors and those showing an abnormal examination of the hip were enrolled (n = 2191). For the development of a risk prediction model we considered 9 candidate predictors and other variables readily available at childbirth. The main outcome measure was ultrasonography at a median age of 8 weeks using consensus diagnostic criteria; outcome assessors were blinded. RESULTS: The risk model includes four predictors: female sex (OR = 5.6; 95% CI: 2.9–10.9; P <  0.001); first degree family history of DDH (OR = 4.5; 95% CI: 2.3–9.0; P <  0.001), birthweight > 4000 g (OR = 1.6; 95% CI: 0.6–4.2; P = 0.34), and abnormal examination of hip (OR = 58.8; 95% CI: 31.9, 108.5; P <  0.001). This model demonstrated excellent discrimination (C statistic = 0.9) and calibration of observed and predicted risk (P = 0.35). A model without the variable ‘hip examination’ demonstrated similar performance. CONCLUSION: The risk model quantifies absolute risk of DDH within 8 weeks postpartum in at-risk newborns. Based on clinical variables readily available at the point of childbirth, the model will enhance parental counselling and could serve as the basis for real time decisions prior to discharge from maternity wards. BioMed Central 2020-07-07 /pmc/articles/PMC7341560/ /pubmed/32635922 http://dx.doi.org/10.1186/s12891-020-03454-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Roposch, Andreas
Protopapa, Evangelia
Malaga-Shaw, Olivia
Gelfer, Yael
Humphries, Paul
Ridout, Deborah
Wedge, John H.
Predicting developmental dysplasia of the hip in at-risk newborns
title Predicting developmental dysplasia of the hip in at-risk newborns
title_full Predicting developmental dysplasia of the hip in at-risk newborns
title_fullStr Predicting developmental dysplasia of the hip in at-risk newborns
title_full_unstemmed Predicting developmental dysplasia of the hip in at-risk newborns
title_short Predicting developmental dysplasia of the hip in at-risk newborns
title_sort predicting developmental dysplasia of the hip in at-risk newborns
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341560/
https://www.ncbi.nlm.nih.gov/pubmed/32635922
http://dx.doi.org/10.1186/s12891-020-03454-4
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