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Measuring the Severity of Respiratory Illness in the First 2 Years of Life in Preterm and Term Infants

OBJECTIVE: To develop a valid research tool to measure infant respiratory illness severity using parent-reported symptoms. STUDY DESIGN: Nose and throat swabs were collected monthly for 1 year and during respiratory illnesses for 2 years in a prospective study of term and preterm infants in the Prem...

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Autores principales: Caserta, Mary T., Yang, Hongmei, Bandyopadhyay, Sanjukta, Qiu, Xing, Gill, Steven R., Java, James, McDavid, Andrew, Falsey, Ann R., Topham, David J., Holden-Wiltse, Jeanne, Scheible, Kristin, Pryhuber, Gloria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6815715/
https://www.ncbi.nlm.nih.gov/pubmed/31377041
http://dx.doi.org/10.1016/j.jpeds.2019.06.061
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author Caserta, Mary T.
Yang, Hongmei
Bandyopadhyay, Sanjukta
Qiu, Xing
Gill, Steven R.
Java, James
McDavid, Andrew
Falsey, Ann R.
Topham, David J.
Holden-Wiltse, Jeanne
Scheible, Kristin
Pryhuber, Gloria
author_facet Caserta, Mary T.
Yang, Hongmei
Bandyopadhyay, Sanjukta
Qiu, Xing
Gill, Steven R.
Java, James
McDavid, Andrew
Falsey, Ann R.
Topham, David J.
Holden-Wiltse, Jeanne
Scheible, Kristin
Pryhuber, Gloria
author_sort Caserta, Mary T.
collection PubMed
description OBJECTIVE: To develop a valid research tool to measure infant respiratory illness severity using parent-reported symptoms. STUDY DESIGN: Nose and throat swabs were collected monthly for 1 year and during respiratory illnesses for 2 years in a prospective study of term and preterm infants in the Prematurity, Respiratory Outcomes, Immune System and Microbiome study. Viral pathogens were detected using Taqman Array Cards. Parents recorded symptoms during respiratory illnesses using a Childhood Origins of Asthma (COAST) scorecard. The COAST score was validated using linear mixed effects regression modeling to evaluate associations with hospitalization and specific infections. A data-driven method was also used to compute symptom weights and derive a new score, the Infant Research Respiratory Infection Severity Score (IRRISS). Linear mixed effects regression modeling was repeated with the IRRISS illness data. RESULTS: From April 2013 to April 2017, 50 term, 40 late preterm, and 28 extremely low gestational age (<29 weeks of gestation) infants had 303 respiratory illness visits with viral testing and parent-reported symptoms. A range of illness severity was described with 39% of illness scores suggestive of severe disease. Both the COAST score and IRRISS were associated with respiratory syncytial virus infection and hospitalization. Gestational age and human rhinovirus infection were inversely associated with both scoring systems. The IRRISS and COAST scores were highly correlated (r = 0.93; P < .0001). CONCLUSIONS: Using parent-reported symptoms, we validated the COAST score as a measure of respiratory illness severity in infants. The new IRRISS score performed as well as the COAST score.
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spelling pubmed-68157152020-03-25 Measuring the Severity of Respiratory Illness in the First 2 Years of Life in Preterm and Term Infants Caserta, Mary T. Yang, Hongmei Bandyopadhyay, Sanjukta Qiu, Xing Gill, Steven R. Java, James McDavid, Andrew Falsey, Ann R. Topham, David J. Holden-Wiltse, Jeanne Scheible, Kristin Pryhuber, Gloria J Pediatr Original Article OBJECTIVE: To develop a valid research tool to measure infant respiratory illness severity using parent-reported symptoms. STUDY DESIGN: Nose and throat swabs were collected monthly for 1 year and during respiratory illnesses for 2 years in a prospective study of term and preterm infants in the Prematurity, Respiratory Outcomes, Immune System and Microbiome study. Viral pathogens were detected using Taqman Array Cards. Parents recorded symptoms during respiratory illnesses using a Childhood Origins of Asthma (COAST) scorecard. The COAST score was validated using linear mixed effects regression modeling to evaluate associations with hospitalization and specific infections. A data-driven method was also used to compute symptom weights and derive a new score, the Infant Research Respiratory Infection Severity Score (IRRISS). Linear mixed effects regression modeling was repeated with the IRRISS illness data. RESULTS: From April 2013 to April 2017, 50 term, 40 late preterm, and 28 extremely low gestational age (<29 weeks of gestation) infants had 303 respiratory illness visits with viral testing and parent-reported symptoms. A range of illness severity was described with 39% of illness scores suggestive of severe disease. Both the COAST score and IRRISS were associated with respiratory syncytial virus infection and hospitalization. Gestational age and human rhinovirus infection were inversely associated with both scoring systems. The IRRISS and COAST scores were highly correlated (r = 0.93; P < .0001). CONCLUSIONS: Using parent-reported symptoms, we validated the COAST score as a measure of respiratory illness severity in infants. The new IRRISS score performed as well as the COAST score. Elsevier Inc. 2019-11 2019-07-31 /pmc/articles/PMC6815715/ /pubmed/31377041 http://dx.doi.org/10.1016/j.jpeds.2019.06.061 Text en © 2019 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
Caserta, Mary T.
Yang, Hongmei
Bandyopadhyay, Sanjukta
Qiu, Xing
Gill, Steven R.
Java, James
McDavid, Andrew
Falsey, Ann R.
Topham, David J.
Holden-Wiltse, Jeanne
Scheible, Kristin
Pryhuber, Gloria
Measuring the Severity of Respiratory Illness in the First 2 Years of Life in Preterm and Term Infants
title Measuring the Severity of Respiratory Illness in the First 2 Years of Life in Preterm and Term Infants
title_full Measuring the Severity of Respiratory Illness in the First 2 Years of Life in Preterm and Term Infants
title_fullStr Measuring the Severity of Respiratory Illness in the First 2 Years of Life in Preterm and Term Infants
title_full_unstemmed Measuring the Severity of Respiratory Illness in the First 2 Years of Life in Preterm and Term Infants
title_short Measuring the Severity of Respiratory Illness in the First 2 Years of Life in Preterm and Term Infants
title_sort measuring the severity of respiratory illness in the first 2 years of life in preterm and term infants
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6815715/
https://www.ncbi.nlm.nih.gov/pubmed/31377041
http://dx.doi.org/10.1016/j.jpeds.2019.06.061
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