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Nomogram for pneumonia prediction among children and young people with cerebral palsy: A population-based cohort study

BACKGROUND: Pneumonia is the leading cause of death among children and young people (CYP) with severe cerebral palsy (CP). Only a few studies used nomogram for assessing risk factors and the probability of pneumonia. Therefore, we aimed to identify risk factors and devise a nomogram for identifying...

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Autores principales: Kuo, Tsu Jen, Hsu, Chiao-Lin, Liao, Pei-Hsun, Huang, Shih-Ju, Hung, Yao-Min, Yin, Chun-Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337291/
https://www.ncbi.nlm.nih.gov/pubmed/32628682
http://dx.doi.org/10.1371/journal.pone.0235069
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author Kuo, Tsu Jen
Hsu, Chiao-Lin
Liao, Pei-Hsun
Huang, Shih-Ju
Hung, Yao-Min
Yin, Chun-Hao
author_facet Kuo, Tsu Jen
Hsu, Chiao-Lin
Liao, Pei-Hsun
Huang, Shih-Ju
Hung, Yao-Min
Yin, Chun-Hao
author_sort Kuo, Tsu Jen
collection PubMed
description BACKGROUND: Pneumonia is the leading cause of death among children and young people (CYP) with severe cerebral palsy (CP). Only a few studies used nomogram for assessing risk factors and the probability of pneumonia. Therefore, we aimed to identify risk factors and devise a nomogram for identifying the probability of severe pneumonia in CYP with severe CP. METHODS: This retrospective nationwide population-based cohort study examined CYP with newly diagnosed severe CP before 18 years old between January 1(st), 1997 and December 31(st), 2013 and followed them up through December 31(st), 2013. The primary endpoint was defined as the occurrence of severe pneumonia with ≥ 5 days of hospitalization. Logistic regression analysis was used for determining demographic factors and comorbidities associated with severe pneumonia. These factors were assigned integer points to create a scoring system to identify children at high risk for severe pneumonia. RESULTS: Among 6,356 CYP with newly diagnosed severe CP, 2,135 (33.59%) had severe pneumonia. Multivariable logistic regression analysis revealed that seven independent predictive factors, namely age <3 years, male sex, and comorbidities of pressure ulcer, gastroesophageal reflux, asthma, seizures, and perinatal complications. A nomogram was devised by employing these seven significant predictive factors. The prediction model presented favorable discrimination performance. CONCLUSIONS: The nomogram revealed that age, male sex, history of pressure ulcer, gastroesophageal reflux, asthma, seizures, and perinatal complications were potential risk factors for severe pneumonia among CYP with severe CP.
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spelling pubmed-73372912020-07-16 Nomogram for pneumonia prediction among children and young people with cerebral palsy: A population-based cohort study Kuo, Tsu Jen Hsu, Chiao-Lin Liao, Pei-Hsun Huang, Shih-Ju Hung, Yao-Min Yin, Chun-Hao PLoS One Research Article BACKGROUND: Pneumonia is the leading cause of death among children and young people (CYP) with severe cerebral palsy (CP). Only a few studies used nomogram for assessing risk factors and the probability of pneumonia. Therefore, we aimed to identify risk factors and devise a nomogram for identifying the probability of severe pneumonia in CYP with severe CP. METHODS: This retrospective nationwide population-based cohort study examined CYP with newly diagnosed severe CP before 18 years old between January 1(st), 1997 and December 31(st), 2013 and followed them up through December 31(st), 2013. The primary endpoint was defined as the occurrence of severe pneumonia with ≥ 5 days of hospitalization. Logistic regression analysis was used for determining demographic factors and comorbidities associated with severe pneumonia. These factors were assigned integer points to create a scoring system to identify children at high risk for severe pneumonia. RESULTS: Among 6,356 CYP with newly diagnosed severe CP, 2,135 (33.59%) had severe pneumonia. Multivariable logistic regression analysis revealed that seven independent predictive factors, namely age <3 years, male sex, and comorbidities of pressure ulcer, gastroesophageal reflux, asthma, seizures, and perinatal complications. A nomogram was devised by employing these seven significant predictive factors. The prediction model presented favorable discrimination performance. CONCLUSIONS: The nomogram revealed that age, male sex, history of pressure ulcer, gastroesophageal reflux, asthma, seizures, and perinatal complications were potential risk factors for severe pneumonia among CYP with severe CP. Public Library of Science 2020-07-06 /pmc/articles/PMC7337291/ /pubmed/32628682 http://dx.doi.org/10.1371/journal.pone.0235069 Text en © 2020 Kuo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kuo, Tsu Jen
Hsu, Chiao-Lin
Liao, Pei-Hsun
Huang, Shih-Ju
Hung, Yao-Min
Yin, Chun-Hao
Nomogram for pneumonia prediction among children and young people with cerebral palsy: A population-based cohort study
title Nomogram for pneumonia prediction among children and young people with cerebral palsy: A population-based cohort study
title_full Nomogram for pneumonia prediction among children and young people with cerebral palsy: A population-based cohort study
title_fullStr Nomogram for pneumonia prediction among children and young people with cerebral palsy: A population-based cohort study
title_full_unstemmed Nomogram for pneumonia prediction among children and young people with cerebral palsy: A population-based cohort study
title_short Nomogram for pneumonia prediction among children and young people with cerebral palsy: A population-based cohort study
title_sort nomogram for pneumonia prediction among children and young people with cerebral palsy: a population-based cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337291/
https://www.ncbi.nlm.nih.gov/pubmed/32628682
http://dx.doi.org/10.1371/journal.pone.0235069
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