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Predictors of hospitalization for lower respiratory tract infection in children aged <2 years in the province of Quebec, Canada

Published online by Cambridge University Press:  18 September 2015

Z. ZHOU
Affiliation:
Quebec University Hospital Research Center, Quebec City, Canada
R. GILCA
Affiliation:
Direction des Risques biologiques et Santé au Travail, Institut national de Santé publique du Québec, Quebec City, Canada
G. DECEUNINCK
Affiliation:
Quebec University Hospital Research Center, Quebec City, Canada
F. D. BOUCHER
Affiliation:
Departement of Pediatrics, Laval University, Quebec City, Canada
H. CHAREST
Affiliation:
Laboratoire de Santé publique du Québec, Institut national de Santé publique du Québec, Sainte-Anne-de-Bellevue, Canada
P. DE WALS*
Affiliation:
Departement of Social and Preventive Medicine, Laval University, Quebec City, Canada
*
*Author for correspondence: Professor P. De Wals, Département de médecine sociale et préventive, Université Laval, IUCPQ, 2725 Chemin Sainte-Foy, Québec (QC) G1V4G5, Canada. (Email: philippe.dewals@criucpq.ulaval.ca)
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Summary

Young age, adverse environmental conditions and infectious agents are established risk factors of lower respiratory tract infection (LRTI), whereas pneumococcal conjugate vaccines may be protective. To explore their relative role as predictors of hospitalizations under the continental climate prevailing in the province of Quebec, Canada, an ecological study was performed. Records with a main diagnosis of LRTI in children born during 2007–2010 and observed up to their second-year anniversary were extracted from the provincial hospital administrative database. Respiratory virus surveillance data and statistics on ambient air temperature were obtained. Vaccine use in different birth cohorts was derived from the Quebec City Immunization Registry. Additive and multiplicative Poisson regression models were applied to estimate attributable fractions. Age, month of birth, ambient temperature, and respiratory syncytial virus (RSV), human metapneumovirus (hMPV) and influenza-positive test proportions were significant predictors of LRTI hospitalizations. No substantial differences were observed in cohorts exposed to the 7-valent or 10-valent pneumococcal conjugate vaccines. In the additive model, the fraction of hospitalizations explained by temperature variation was 37%, whereas RSV circulation explained 28%, hMPV 4% and influenza 1%. Complex interplay between biological, environmental and social mechanisms may explain the important role of ambient air temperature in predicting LRTI hospitalization risk in young children.

Information

Type
Original Papers
Copyright
Copyright © Cambridge University Press 2015 
Figure 0

Fig. 1. Frequency rate of hospital admissions for lower respiratory tract infection (LRTI) according to age, in children born between 1 January 2007 and 28 February 2010, in the province of Quebec, Canada (those with 24-month follow-up).

Figure 1

Fig. 2. Frequency rate of hospital admissions for lower respiratory tract infection according to calendar month, in children born between 1 January 2007 and 28 February 2010, in the province of Quebec, Canada (those with 24-month follow-up).

Figure 2

Fig. 3. Intensity of circulation of respiratory viruses (weekly percentage of positive tests recorded by the Quebec National Public Health Laboratory), including (a) respiratory syncytial virus (RSV), (b) influenza A & B, (c) human metapneumovirus (hMPV), and (d) ambient air temperature (weekly average ambient air temperature recorded in Trois-Rivières), in Quebec, 2007–2013.

Figure 3

Table 1. Weekly positive test percentages for respiratory viruses in Quebec, and average ambient air temperature in Trois-Rivières, between 1 January 2007 and 29 February 2012

Figure 4

Table 2. Predictors of hospitalizations for lower respiratory tract infection in children born between 1 January 2007 and 31 December 2010, aged >90 days and <2 years, in the province of Quebec, Canada

Figure 5

Table 3. Fraction of hospitalizations for lower tract respiratory infections predicted by viral circulation and ambient temperature in additive and multiplicative models

Supplementary material: File

Zhou supplementary material

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