The role of neonatal pulmonary morbidity in the longitudinal patterns of hospitalisation for respiratory infection during the first year of life.

Betts, Kim S; Soares Magalhães, Ricardo J; Alati, Rosa

Betts, Kim S; Soares Magalhães, Ricardo J; Alati, Rosa.

Afiliación

Betts KS; Institute for Social Science Research,The University of Queensland,Office 403,Cycad Building,Long Pocket Precent,4068,Brisbane,Queensland,Australia.
Soares Magalhães RJ; UQ Spatial Epidemiology Laboratory,School of Veterinary Science,The University of Queensland,Gatton,Australia.
Alati R; Institute for Social Science Research,University of Queensland,Brisbane,Australia.

Epidemiol Infect ; 146(9): 1130-1137, 2018 07.

Article en En | MEDLINE | ID: mdl-29734961

RESUMEN

Respiratory infections among infants constitute a major burden to health care systems in developed nations, yet the course and risk factors leading to these conditions are poorly understood. We examine the longitudinal patterns of respiratory infection hospitalisation (RIH) and how these patterns are influenced by neonatal pulmonary morbidities. We included all live births (n = 429 058) occurring in the Australian state of Queensland between January 2009 and December 2015. Data were structured so that each participant had a record (present/absent) of RIH for each month from birth to 12 months. Initially, latent class growth analysis was used to identify the trajectories of RIH adjusted for spatial-temporal factors; using the identified trajectories of RIH as outcomes, we built a multinomial logistic regression model to identify neonatal predictors of RIH trajectories. Our results indicated that a four-class solution was the best fit to the data, comprising a 'no-risk' trajectory, a 'low-risk' trajectory, an 'early-risk' trajectory and a 'chronic-risk' trajectory. Compared with the no-risk trajectory, membership in the other trajectories was predicted by a range of neonatal pulmonary morbidities, with transient tachypnoea of newborn showing a specific relationship with the early-risk group and sleep apnoea showing a specific and strong risk with the chronic-risk group. Our findings suggest the possibility of identifying neonates at risk of recurrent RIH and implementing effective intervention strategies prior to neonatal discharge.

Asunto(s)

Hospitalización/estadística & datos numéricos; Infecciones del Sistema Respiratorio/etiología; Femenino; Humanos; Lactante; Recién Nacido; Modelos Logísticos; Estudios Longitudinales; Masculino; Queensland/epidemiología; Recurrencia; Infecciones del Sistema Respiratorio/epidemiología; Medición de Riesgo; Factores de Riesgo; Análisis Espacio-Temporal

Palabras clave

MAS neonatal aspiration of meconium; ORD other respiratory distress unclassified; PAPN apnoea of prematurity; RDS respiratory distress syndrome; SAPN sleep apnoea; TTN transient tachypnoea of newborn; Hospitalisation; infants; respiratory infection; structural equation modelling

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infecciones del Sistema Respiratorio / Hospitalización Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Infant / Male / Newborn País/Región como asunto: Oceania Idioma: En Revista: Epidemiol Infect Asunto de la revista: DOENCAS TRANSMISSIVEIS / EPIDEMIOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido

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