INTRODUCTION
Lower respiratory tract infection (LRTI) is a major cause of hospitalization in children worldwide [Reference Rudan1, Reference Nair2]. A marked seasonal variation is observed in countries situated outside the equatorial belt [Reference Makinen3–Reference te Beest5]. Age is a well-established risk factor of the risk and severity of infections [Reference Tulloh and Bury6–Reference Takeyama8]. Respiratory pathogens including influenza A and B viruses, respiratory syncytial virus (RSV), human metapneumovirus (hMPV) and Streptococcus pneumoniae cause diseases with different epidemiological patterns and clinical presentations [Reference Chang9]. In the last decade, influenza and pneumococcal conjugate vaccines have been introduced in immunization programmes for children in order to reduce the burden of LRTI [Reference Kellner10–Reference Hoen12]. In the province of Quebec, Canada, the 7-valent (PCV-7), 10-valent (PCV-10) and 13-valent (PCV-13) pneumococcal conjugate vaccines have been sequentially used in the publicly funded immunization programme [Reference De13, Reference De14]. The relative contribution of all these factors in causing severe LRTI leading to hospitalization is not known. The objective of this ecological study was to assess the relative contribution of age, daily ambient temperature, circulation of respiratory viruses and pneumococcal conjugate vaccines as predictors of hospitalization for LRTI in children aged <2 years, born during 2007–2010, in Quebec, a province experiencing a continental climate mostly.
METHODS
Study population
The study population included children residing in the province of Quebec, born between 1 January 2007, and 31 December 2010, and observed up to their second-year anniversary.
Data sources
The monthly number of births was obtained from the Quebec Statistics Institute. A uniform distribution of births by day of month was assumed and person-months of observations were computed assuming a steady-state population from birth up to age 24 months.
In Quebec, all residents are insured for health services and all acute care hospitals are public. All hospital discharges are registered in the administrative electronic database MedEcho [15]. A main diagnosis and up to 15 secondary diagnoses are extracted from medical charts by certified archivists and coded according to the 10th Revision of the International Classification of Diseases (ICD-10). A list of records pertaining to hospital admissions with a main code of LRTI between 1 January 2007 and 29 February 2012 was obtained (details in Supplementary Table S1). Children born between 1 January 2007 and 28 February 2010 had a 24-month follow-up whereas observations were truncated for those born later. Transfers and multiple admissions within a 7-day period were considered as a single episode.
In Quebec, pneumococcal conjugate vaccines are recommended at age 2, 4, 6 and 12 months for low-risk children, whereas four doses are recommended for children at high risk of pneumococcal disease [16]. The distribution of pneumococcal vaccine doses was obtained from the Quebec City Immunization Registry [Reference De Wals17]. The main vaccines used for the primary immunization series (⩾90% of first, second and third doses administered up to age 11 months) and toddler booster dose (⩾90% third and fourth doses administered at age 12 months or after) in each monthly birth cohort were identified (details in Supplementary Table S2).
The Quebec Public Health Institute Laboratory Surveillance Network routinely reports statistics on the number and percentage of positive respiratory virus assays. Approximately half of hospital microbiology laboratories (n = 45/94), including all four tertiary paediatric centres in the Province of Quebec participate in the respiratory virus surveillance programme. Diagnostic tests include rapid antigen detection tests (RADT), nucleic acid tests (NAT) and viral cultures. The number of tests and the number of positive results for each respiratory virus are compiled on a weekly basis and submitted to the Provincial Reference Laboratory [18]. In the present study, weekly percentages of positive tests for influenza (A and B), RSV and hMPV during the years 2007–2012 were used as a proxy of the intensity of virus circulation in the population.
Daily ambient air temperature average statistics in the central town of Trois-Rivières were provided by the Meteorological Service of Environment Canada [19]. A 7-day moving average was used as a proxy for climate exposure.
Statistical analyses
Statistical analyses were performed using SAS version 9.3 software (SAS Institute, USA) with a significance threshold set at 0·05 (two-sided tests). Potential predictors of daily hospital admissions rates were first tested in univariate analyses. Univariate associations were measured by Pearson and Spearman correlation coefficients (ρ) and linear regression and determination coefficients (β and R 2).
Multivariate analyses were restricted to children aged 3–23 months as respiratory infections in the early neonatal period are often related to prenatal or perinatal causes, are difficult to diagnose and no effect of pneumococcal vaccination could be expected. First hospitalizations were modelled using both identity-link additive and log-link multiplicative Poisson regression models [Reference Coughlin20]. All hospitalizations were modelled using multiplicative models only as convergence could not be reached in additive models. Dependence between repeated hospitalizations for the same patients was taken into account using Generalized Estimating Equations (GEE) [Reference Guo, Gill and Allore21].
The estimated number of hospital cases attributable to a particular predictor was calculated as the difference between the overall number of hospitalizations in the study population predicted in the model and the estimated number when the variable of interest was set at its lowest possible value. The fraction attributable to each predictor was then calculated by dividing the number of cases attributed to the predictor by the number of total cases.
Ethical approval
The study protocol was approved by the Quebec University Hospital Research Ethics Board, and access to nominative information in provincial databases was authorized by the Commission d'accès à l'information du Québec, a governmental organization regulating access to documents held by public bodies and the protection of personal information.
RESULTS
A total of 11 361 LRTI episodes in 9742 children were recorded in an estimated population of 349 645 children representing a total of 8 024 120 person-months of observation. Out of these, 8470 (86·9%) children had a single episode of hospitalization, 1216 (12·5%) had two or three episodes and 56 (0·6%) had four or more. One child with 10 episodes had underlying congenital heart disease. Bronchiolitis and bronchitis represented the most frequent diagnostic category (n = 7461, 65·6% of total), followed by pneumonia (n = 3896, 34·3% of total). In the bronchiolitis/bronchitis category, bronchiolitis was the most frequent condition (n = 7070, 94·8%). Of pneumonia cases, unspecified pneumonia was the most frequent diagnostic category (n = 3004, 77·1% of total). There were only four cases of empyema.
Hospital admission rates according to age and diagnostic category are shown in Figure 1 (analysis restricted to children born between 1 January 2007 and 18 February 2010, with a 24-month follow-up). The LRTI rate increased from birth to reach a peak of 2·8/1000 person-months at age 2 months, and progressively decreased thereafter. This pattern was attributable mostly to the bronchiolitis group. The peak of pneumonia was at age 13 months. The overall cumulative LRTI frequency rate was 3·5% from birth up to the second-year anniversary.
LRTI hospitalization rates showed a marked seasonal pattern with a peak in February and a minimum in July (Fig. 2).
Viral surveillance data are displayed in Table 1 and Figure 3. RSV was detected during long periods with winter peaks during which 20–40% of tests were positive. Influenza viruses had also a clear seasonal pattern with much shorter periods of circulation and a lower proportion of positive tests. The 2009 influenza pandemic year was atypical with two peaks, the first during spring and the second during autumn, whereas almost no influenza circulation was detected in 2010. The daily average ambient temperature recorded in Trois-Rivières ranged between a maximum of 28·4 °C and a minimum of −26·7 °C (Table 1). Weekly averages were less extreme with a marked seasonal pattern (Fig. 3).
In univariate analyses of LRTI hospitalization rates, statistically significant associations were seen for ambient temperature, RSV, influenza, but not for hMPV. Details are shown in Supplementary Figure S1.
In multivariate analyses (Table 2), viral circulation, temperature, age, and month of birth were significant predictors of LRTI admission. There was no significant difference between different PCV schedules with one exception: PCV-13 use was associated with a lower risk compared to PCV-7 use in the additive model and in the multiplicative model for first hospitalizations. The effect of age was for pneumonia and bronchiolitis. PCV-13 use was not associated with a reduced risk of bronchiolitis. The remaining results were similar for pneumonia and bronchiolitis (details in Supplementary Tables S3 and S4).
RR, Rate ratio.
* Additive Poisson model assumes a linear relationship between intensity of exposure and response.
† Multiplicative Poisson model implies an exponential relationship between intensity of exposure and response.
‡ Weekly percentage of positive tests.
§ 7-day moving average ambient air temperature (inversed) recorded in Trois-Rivières.
|| ⩾90% of doses administered in each monthly birth cohort for the primary infant series + toddler booster.
The proportions of hospitalizations explained by variation in temperature and viral circulation are given in Table 3. Temperature was the most important predictor of hospitalizations for LRTI, explaining between 37% and 50% of episodes. Of viruses, RSV was by far the most important contributor, explaining between 28% and 34% of admissions. The role of influenza was modest, explaining only 1–6% of admissions. A similar ranking was observed for the predictors of pneumonia and bronchiolitis, and details are presented in Supplementary Tables S5 and S6.
CI, Confidence interval.
* Additive Poisson model assumes a linear relationship between intensity of exposure and response.
† Multiplicative Poisson model implies an exponential relationship between intensity of exposure and response.
‡ Weekly percentage of positive tests.
§ 7-day moving average ambient air temperature (inversed) recorded in Trois-Rivières.
DISCUSSION
Ecological studies have been widely used in epidemiology to explore aetiological hypotheses but results should be interpreted with caution [Reference Rothman, Greenland and Lash22]. In our study, hospitalization risk was measured at the individual level whereas potential predictors (covariates) were measured at the ecological level. In order to explore the role of different predictors, both additive and multiplicative regression models were used, giving consistent results in terms of ranking of coefficients. It has been suggested that additive models provide more valid attributable fraction estimates than multiplicative models [Reference Boshuizen and Feskens23, Reference Gay24]. Indeed, multiplicative models generating curvilinear dose-response relationships tended to overestimate the contribution of continuous variables as opposed to categorical variables.
The main analysis was performed for LRTI although similar predictors and ranking were found for diagnostic subcategories of pneumonia and bronchiolitis. The age distribution of admissions for bronchiolitis with a peak at age 2 months is congruent with other observations and may be explained, in part, by RSV infections occurring at early age [Reference Tulloh and Bury6, Reference Leader and Kohlhase25–Reference Ogra27]. The peak of pneumonia hospitalizations at age 13 months is more difficult to explain and some degree of misclassification cannot be excluded in younger children. Many infectious agents are involved in the aetiology of pneumonia and results of microbiological investigations cannot accurately predict clinical and radiological findings [Reference Moore28]. Committee guidelines and expert opinions for diagnostic investigations in young children admitted for respiratory infection usually recommend standard chest X-ray examination, but not all of them [Reference Ralston29, Reference Swingler, Hussey and Zwarenstein30]. The interpretation of chest X-ray in infants is especially difficult and standard criteria as proposed by the WHO are not used in routine practice [31]. Clinicians may be prone to select bronchiolitis as a main diagnosis for any LRTI in children aged <1 year. For this reason, it would be wise to assess the global impact of pneumococcal vaccines in Phase IV studies using the LRTI category instead of the usual all-cause pneumonia category [Reference Grijalva and Griffin32].
A major finding in our study was the predominant role of ambient air temperature and the previous 7-day moving average in predicting hospital admissions for LRTI. In the province of Quebec, 90% of the population resides in the Montreal–Trois-Rivières–Quebec City–St Laurence corridor. Ambient air temperature values recorded in Trois-Rivières (study period average 6·0 °C) were slightly higher than in Quebec City (4·7 °C) and lower than in Montreal (6·9 °C), but correlations in daily averages in the three cities were very high (coefficient 0·99, P < 0·0001). Absolute ambient air temperature or its variation may be directly linked to the incidence and severity of respiratory infections through irritation of the respiratory tract mucosa [Reference Makinen3, Reference Falagas33]. In addition, temperature may be a proxy for other environmental factors including light intensity, humidity, and air pollution [Reference Kim34, Reference Nicoli35]. Temperature may also be associated with other seasonal influences such as the quality of innate and acquired immunity, or circulation of unmeasured or unknown respiratory pathogens. It is important to note that temperature also affects human behaviours and living conditions such as time spent outdoors or indoor crowding [Reference Ampofo36]. Finally, temperature represents a general background variation that was previously modelled using periodic functions [Reference Weinberger37], but real temperature data are more appropriate, especially for respiratory infections. More studies are needed to better understand the role of temperature in the occurrence of respiratory infections. Results of our study may also have implications for the short-term planning of hospital services in Quebec which usually relies on alerts generated by respiratory virus surveillance, but not so much on climatic conditions.
In Quebec, respiratory virus surveillance is based on tests routinely prescribed in a large sample of hospitals, including all four tertiary pediatric centres [18]. The weekly percentage of positive tests was considered as a more valid indicator of viral circulation than the absolute number of positive tests, which is more sensitive to variation in practice. Three viruses only were included in this study because the surveillance of other respiratory pathogens (i.e. adenoviruses and parainfluenza viruses) was less reliable during the study years. RSV surveillance mostly resulted from tests in young infants whereas influenza surveillance encompasses all age groups. This may be a problem as the peak of influenza generally occurs earlier in school-aged children than in younger children or elderly adults [Reference Peters38, Reference Sebastian39]. In the additive model, RSV circulation accounted for 28% of first hospitalizations, while influenza activity accounted for 1% only. RSV is considered as the main cause of hospital admissions for respiratory infections in young children [Reference Santibanez40, Reference Murray41]. In an ecological study in the United States based on viral surveillance data, it was found that RSV was associated with 16 times more hospitalizations than influenza in children aged <1 year, and the ratio was 5:1 in children aged 1–4 years [Reference Zhou42].
In a systematic review of randomized trials, cohort and case-control studies of inactivated influenza vaccines in children, the authors concluded that vaccine effectiveness in preventing influenza cases was demonstrated for children aged ⩾2 years, but not for those aged <2 years [Reference Jefferson43]. In Quebec, influenza vaccination has been recommended for all children aged 6–23 months since 2004, but not for older children [Reference Gilca44]. Results of immunization surveys in Quebec showed low coverage rates, peaking at 35% in 2006, and falling to 16% in 2011 [Reference Boulianne45]. A marked impact of influenza vaccination in reducing the burden of LRTI admissions in young children is thus unlikely. With a very low frequency of hospital admissions in the 6–24 months age group potentially explained by influenza infections, the relevance of the current recommendation is questionable. Clearly, more effective influenza vaccines are needed and a RSV vaccine should be a research priority.
In our study, surveillance data on invasive pneumococcal disease (IPD) in young children was not selected as a potential predictor of LRTI hospitalizations. As reported in a previous study [Reference De46], the IPD epidemiology in Quebec has been markedly influenced by the introduction of pneumococcal conjugate vaccines. IPD incidence in children aged <5 years was 67/100 000 in 2001–2004, and decreased to 32/100 000 in 2007–2009 following the introduction of PCV-7 in December 2004. A further decrease to 24/100 000 was observed in 2010–2011 following the introduction of PCV-10 in June 2009. Variations of this magnitude are not expected for LTRIs, all-cause pneumonia or non-bacteraemic pneumococcal pneumonia, a highly unreliable diagnostic category in hospital administrative databases [Reference Moore28]. Moreover, seasonal variation in IPD in children is less marked than for respiratory viruses [Reference Weinberger37].
The effectiveness of PCV-7 and PCV-10 in preventing all-cause pneumonia has been demonstrated in randomized trials, but not for PCV-13 however [Reference Tregnaghi47–Reference Black49]. Following the implementation of routine infant vaccination with PCV-7 in Quebec in December 2004 (2 + 1 doses for low-risk children and 3 + 1 doses for high-risk infants), a 13% decrease in hospital admissions for all-cause pneumonia was observed [Reference De14]. In the present analysis, the reference group is the cohort of children exposed to PCV-7. Since the implementation of the PCV programme, approximately 90% of children are now receiving the recommended number of doses by age 2 years, and the coverage has been stable over years [Reference Boulianne45]. As shown in the present study, the introduction of PCV-10 in 2009, was not followed by a further decrease in hospital admissions for LRTI and all-cause pneumonia. A lower frequency of first admissions was seen in cohorts exposed to PCV-13. This trend should be confirmed as the number of children in the PCV-13-only cohort was limited (n = 14 175), and the truncated observation period was much shorter than for the other vaccine schedules (median 14·9 months vs. 24 months). Our plan is to extend the analysis to include cohorts of children not exposed to any pneumococcal conjugate vaccines and additional cohorts exposed to PCV-13.
CONCLUSION
Results of ecological studies should be interpreted with care and our study is no exception. The predominant role of ambient temperature in predicting the risk of hospitalization for LRTI in young children is an interesting finding and causal mechanisms should be explored further. Replicating the analysis in a region experiencing other climatic conditions would be interesting. Of respiratory viruses, RSV seems to be, by far, the most important pathogen, whereas the role of influenza viruses appears to be minor in this age group.
SUPPLEMENTARY MATERIAL
For supplementary material accompanying this paper visit http://dx.doi.org/10.1017/S0950268815002204.
ACKNOWLEDGEMENTS
The authors thank Professor Michel Carbon, Department of Mathematics & Statistics, Laval University, for statistical advice.
The study was supported by an investigator-initiated research grant from GlaxoSmithKline Biologicals. The sponsor had no role in the design and conduct of the study, collection, management, analysis, and interpretation of the data, and preparation, review, and approval of the manuscript.
DECLARATION OF INTEREST
Philippe De Wals received research grants and reimbursement of travel expenses from GlaxoSmithKline, Pfizer and Novartis. Rodica Gilca received research grants from Pfizer and Sanofi-Pasteur. The remaining authors do not have a commercial or other association that might pose a conflict of interest.