Meta-Analysis Open Access
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Crit Care Med. Jul 9, 2022; 11(4): 298-310
Published online Jul 9, 2022. doi: 10.5492/wjccm.v11.i4.298
Association between early viral lower respiratory tract infections and subsequent asthma development
Sebastien Kenmoe, Seraphine Nkie Esemu, Lucy Ndip, Department of Microbiology and Parasitology, University of Buea, Buea 00237, Cameroon
Sebastien Kenmoe, Richard Njouom, Department of Virology, Centre Pasteur of Cameroon, Yaounde 00237, Cameroon
Etienne Atenguena Okobalemba, Faculty of Medicine and Biomedical Science, The University of Yaounde I, Yaounde 00237, Cameroon
Guy Roussel Takuissu, Centre of Research in Food, Food Security and Nutrition, Institute of Medical Research and Medicinal Plants Studies, Yaounde 00237, Cameroon
Jean Thierry Ebogo-Belobo, Ginette Irma Kame-Ngasse, Medical Research Centre, Institute of Medical Research and Medicinal Plants Studies, Yaounde 00237, Cameroon
Martin Gael Oyono, Laboratory of Parasitology and Ecology, The University of Yaounde I, Yaounde 00237, Cameroon
Jeannette Nina Magoudjou-Pekam, Raoul Kenfack-Momo, Department of Biochemistry, The University of Yaounde I, Yaounde 00237, Cameroon
Jean Bosco Taya-Fokou, Chris Andre Mbongue Mikangue, Donatien Serge Mbaga, Arnol Bowo-Ngandji, Department of Microbiology, The University of Yaounde I, Yaounde 00237, Cameroon
Cyprien Kengne-Ndé, Epidemiological Surveillance, Evaluation and Research Unit, National Aids Control Committee, Douala 00237, Cameroon
ORCID number: Sebastien Kenmoe (0000-0002-5536-080X); Etienne Atenguena Okobalemba (0000-0003-1556-4389); Guy Roussel Takuissu (0000-0002-7478-4165); Jean Thierry Ebogo-Belobo (0000-0002-4057-889X); Martin Gael Oyono (0000-0002-0990-4087); Jeannette Nina Magoudjou-Pekam (0000-0003-0176-6174); Ginette Irma Kame-Ngasse (0000-0003-1410-5156); Jean Bosco Taya-Fokou (0000-0003-1383-885X); Chris Andre Mbongue Mikangue (0000-0001-9131-6438); Raoul Kenfack-Momo (0000-0003-2827-628X); Donatien Serge Mbaga (0000-0002-9496-0445); Arnol Bowo-Ngandji (0000-0003-4463-1018); Cyprien Kengne-Ndé (0000-0002-8338-2221); Seraphine Nkie Esemu (0000-0003-2497-4689); Richard Njouom (0000-0003-3112-6370); Lucy Ndip (0000-0003-3511-6049).
Author contributions: Kenmoe S, Ndip L, and Njouom R were responsible for conception and design of the study as well as project administration; Kenmoe S, Atenguena Okobalemba E, Takuissu GR, Ebogo-Belobo JT, Oyono MG, Magoudjou-Pekam JN, Kame-Ngasse GI, Taya-Fokou JB, Mbongue Mikangue CA, Kenfack-Momo R, Fall A, Mbaga DS, Bowo-Ngandji A, Kengne-Nde C, and Esemu SN were responsible for the data curation and interpretation of results; Kengne-Nde C and Kenmoe S were responsible for statistical analysis; Kenmoe S, Ndip L, and Njouom R were responsible for the project supervision; Kenmoe S wrote the original draft; All authors critically reviewed the first draft and approved the final version of the paper for submission and have read and approved the final manuscript.
Supported by the European Union (EDCTP2 Programme), No. TMA2019PF-2705.
Conflict-of-interest statement: The authors deny any conflict of interest.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Sebastien Kenmoe, PhD, Assistant Lecturer, Department of Microbiology and Parasitology, University of Buea, Molyko to Buea Town Rd, Buea 00237, Cameroon. sebastien.kenmoe@ubuea.cm
Received: November 30, 2021
Peer-review started: November 30, 2021
First decision: April 19, 2022
Revised: April 25, 2022
Accepted: June 16, 2022
Article in press: June 16, 2022
Published online: July 9, 2022

Abstract
BACKGROUND

The association between hospitalization for human respiratory syncytial virus (HRSV) bronchiolitis in early childhood and subsequent asthma is well established. The long-term prognosis for non-bronchiolitis lower respiratory tract infections (LRTI) caused by viruses different from HRSV and rhinovirus, on the other hand, has received less interest.

AIM

To investigate the relationship between infant LRTI and later asthma and examine the influence of confounding factors.

METHODS

The PubMed and Global Index Medicus bibliographic databases were used to search for articles published up to October 2021 for this systematic review. We included cohort studies comparing the incidence of asthma between patients with and without LRTI at ≤ 2 years regardless of the virus responsible. The meta-analysis was performed using the random effects model. Sources of heterogeneity were assessed by stratified analyses.

RESULTS

This review included 15 articles (18 unique studies) that met the inclusion criteria. LRTIs at ≤ 2 years were associated with an increased risk of subsequent asthma up to 20 years [odds ratio (OR) = 5.0, 95%CI: 3.3-7.5], with doctor-diagnosed asthma (OR = 5.3, 95%CI: 3.3-8.6), current asthma (OR = 5.4, 95%CI: 2.7-10.6), and current medication for asthma (OR = 1.2, 95%CI: 0.7-3.9). Our overall estimates were not affected by publication bias (P = 0.671), but there was significant heterogeneity [I2 = 58.8% (30.6-75.5)]. Compared to studies with hospitalized controls without LRTI, those with ambulatory controls had a significantly higher strength of association between LRTIs and subsequent asthma. The strength of the association between LRTIs and later asthma varied significantly by country and age at the time of the interview. The sensitivity analyses including only studies with similar proportions of confounding factors (gender, age at LRTI development, age at interview, gestational age, birth weight, weight, height, smoking exposure, crowding, family history of atopy, and family history of asthma) between cases and controls did not alter the overall estimates.

CONCLUSION

Regardless of the causative virus and confounding factors, viral LRTIs in children < 2 years are associated with an increased risk of developing a subsequent asthma. Parents and pediatricians should be informed of this risk.

Key Words: Asthma, Lower respiratory tract infections, Respiratory viruses, Long term sequelae, Children

Core Tip: The results of this meta-analysis confirmed that viral lower respiratory tract infections (LRTIs) in children < 2 years increase the risk of developing asthma later until the age of 20 years. This indicates that pediatricians and parents should be vigilant with anticipating asthma preventive measures in children with viral LRTIs in childhood.


  • Citation: Kenmoe S, Atenguena Okobalemba E, Takuissu GR, Ebogo-Belobo JT, Oyono MG, Magoudjou-Pekam JN, Kame-Ngasse GI, Taya-Fokou JB, Mbongue Mikangue CA, Kenfack-Momo R, Mbaga DS, Bowo-Ngandji A, Kengne-Ndé C, Esemu SN, Njouom R, Ndip L. Association between early viral lower respiratory tract infections and subsequent asthma development. World J Crit Care Med 2022; 11(4): 298-310
  • URL: https://www.wjgnet.com/2220-3141/full/v11/i4/298.htm
  • DOI: https://dx.doi.org/10.5492/wjccm.v11.i4.298

INTRODUCTION

Asthma is a major contributor to the burden of non-communicable diseases and the most common chronic respiratory disease in the world[1]. The prevalence of asthma has increased by 12.6% in 25 years (1990-2015), and asthma causes the deaths of nearly half a million people each year[1]. Asthma also represents a considerable financial burden and costs about 19 billion Euros per year in Europe[2].

Multiple factors have been involved in the development of asthma. There is evidence that respiratory viruses, particularly human respiratory syncytial virus (HRSV)[3-7], human metapneumovirus[7-12], or rhinovirus (RV)[12-22] (including mostly the recently described RV-C), were triggers for asthma and asthma exacerbation. The data also show that air pollutants were involved in the risk of developing asthma[23].

In addition, many studies have historically suggested that neonatal bronchiolitis due to HRSV, and RV recently, is a predisposing factor for asthma development later[3,5,10,24-39]. However, the involvement of other common respiratory viruses (influenza, human coronavirus, human parainfluenza virus) and non-bronchiolitis lower respiratory tract infections (LRTI) in the subsequent risk of developing asthma has not been synthesized to date.

Conflicting findings have been reported regarding the synergistic effect of early-life bronchiolitis and personal or family history of atopic sensitization or asthma, gender, maternal smoking in the onset of asthma later[6,34,40-53]. Some authors have suggested that bronchiolitis identifies children prone to developing asthma during adolescence[26,54-59]. Therefore, the causal role of early-onset bronchiolitis and the mechanisms underlying the development of subsequent asthma remain to be clarified[3,60].

Preventing or stopping the development of predictive factors would be a possible strategy for preventing asthma[61-63]. This systematic review was conducted to describe the risk of developing asthma following viral LRTI in childhood and associated factors. Our secondary objective was to evaluate the role of confounding factors of the association of neonatal LRTI and asthma during childhood using sensitivity analyses.

MATERIALS AND METHODS
Study design

We registered the protocol of this systematic review in the PROSPERO with access number CRD42018116955. This review has been done in accordance with the Centre for Reviews and Dissemination guidelines[64] and presented in accordance with the PRISMA declaration[Supplementary Table 1).

Inclusion and exclusion criteria

We included cohort studies comparing the long-term asthmatic sequelae of children with and without a history of viral LRTI in childhood. The PICOs in this study were: P, children and adults of all genders with a history of viral LRTI in childhood regardless of the virus responsible; I, LRTI at ≤ 2 years; C, children and adults of all genders with no history of viral LRTI in childhood; O, the main outcome was asthma as the long-term sequelae of LRTI in infancy. This study had no temporal, geographic, or linguistic limitations. We excluded irrelevant studies, case reports, cross-sectional studies, comments, reviews, and editorials, studies that did not report outcome of interest, articles that we did not have access to full text, studies without control groups, and studies including only high-risk subjects.

Case definition

The definitions of LRTI have been adapted as described by the authors of the primary studies. Asthma has been defined by three or more episodes of bronchial obstruction. We did not take into account the differentiation of atopic asthma. In this systematic review, several categories of asthma definitions were considered, including: (1) Current doctor-diagnosed asthma; (2) Current self-reported asthma; (3) Current asthma; (4) Asthma in the last 12 mo; and (5) Asthma ever. The warning signs of asthma were considered: (1) Cough; (2) Night cough; and (3) Prolonged cough. The use of anti-asthma treatment was also taken into account: (1) Current medication for asthma; (2) Use of bronchodilators; and (3) Use of inhaled steroid. When a study had multiple defined asthma phenotypes for the same participants, we selected the phenotype according to the order of priority of asthma diagnosed by a doctor, most recent asthma, treatment for asthma, and asthma symptoms.

Search strategy

We searched for relevant articles in PubMed and Global Index Medicus until October 24, 2021. The search keywords are described in Supplementary Table 2. We conducted an additional manual search using Reference Citation Analysis (https://www.referencecitationanalysis.com/) by reviewing the list of references for included articles and relevant reviews on the subject.

Study selection

We (JTEB and SK) have individually reviewed the titles and abstracts of the articles identified through the electronic search in the Rayyan website[66]. We evaluated the complete texts of the eligible articles after screening titles and abstracts. These two authors discussed disagreement about the inclusion or exclusion of an article to reach consent.

Data extraction

Two authors (JETB and SK) independently extracted all relevant data and entered into a standardized questionnaire. The disagreements were resolved by discussion between the two investigators and consultation of a third author if an agreement could not be reached (AF). The standardized questionnaire included: (1) Title; (2) First author; (3) Year of publication; (4) Time of data collection; (5) Country; (6) Participants interview period; (7) LRTI type; (8) LRTI rank; (9) LRTI period; (10) Age at LRTI; (11) Type of infection associated with the LRTI; (12) Control age; (13) Control gender; (14) Total number of cases and controls; and (15) Numbers with asthma at follow-up and numbers of confounders in case and control groups.

Risk of bias assessment

We (JETB and SK) independently assessed the quality of publications using the Newcastle-Ottawa scale[67]. We assessed several potential sources of bias including patient selection in the study, comparability of groups, and outcome evaluation (Supplementary Table 3). We rated the studies as “low risk of bias” and “high risk of bias” for scores of 6-9 and 0-5, respectively.

Statistical analysis

Odds ratio (OR) was used as a measure of the association between bronchiolitis potential risk factors and bronchiolitis long-term respiratory sequelae. The heterogeneity was evaluated by visual inspection of the funnel diagram, the Q test, and the I² statistic[68,69]. Heterogeneity between studies was considered significant for values of P < 0.1 and I² > 50%. The impact of the quality of the selected studies was evaluated by a sensitivity analysis omitting high risk of bias studies. Subgroup analysis was performed on the basis of the sampling approach, the countries, the age at LRTI development, the age at interview, the hospitalization status of the controls, the viruses responsible for LRTI, the type of LRTI, and the phenotype of asthma. Sensitivity analysis including only studies with the confounding factor proportions similar between cases and controls were carried out as described previously[70].

RESULTS
Overview of included studies

As shown in Figure 1, 875 articles were found in PubMed and Global Index Medicus. A total of 733 publications were excluded after selection according to titles and abstracts. Of the remaining 162 articles, 147 articles were eliminated for multiple reasons (no LRTI negative group, no data on asthma, wrong study design, not viral laboratory confirmed LRTI, and not LRTI, Supplementary Table 4). Based on the inclusion criteria, 15 comparative publications (18 unique studies) were finally selected for this systematic review[71-85].

Figure 1
Figure 1 Study selection. LRTI: Lower respiratory tract infection.
Figure 2
Figure 2 Forest plot of asthma in children with and without viral lower respiratory tract infections in infancy. LRTI: Lower respiratory tract infection; OR: Odds ratio.
Study characteristics

The characteristics and risk of bias of the 18 unique studies are summarized in Supplementary Tables 5-7. All studies were published from 1982 to 2018 and were conducted on children and adults between < 9 mo and 20 years of age. LRTIs were dominated by bronchiolitis (83.3%) and were recorded between 1967 and 2005. The authors of 61.1% of the studies reported that children had their first episode of LRTI and all children with LRTI were hospitalized. The majority of children recruited in the studies were < 2 years or < 1 year at the time of the LRTI in childhood (88.9%). Most studies presented a low risk of bias (77.8%) and were conducted in Europe (88.9%) with prospective follow-up (94.4%) of children included. All included articles were written in English and from high-income countries. The virus mainly reported in the studies was HRSV (83.3%).

Overall prevalence and sensitivity analysis of asthma in the LRTI group and controls

Compared to controls, most children in the LRTI group had subsequent asthma [OR = 5.0, 95%CI: 3.3-7.5], including doctor-diagnosed asthma (OR = 5.3, 95%CI: 3.3-8.6), current asthma (OR = 5.4, 95%CI: 2.7-10.6), and current medication for asthma (OR = 1.2, 95%CI: 0.7-3.9) (Figure 2). Sensitivity analyses including studies based on the first episode of LRTI (OR = 4.6, 95%CI: 2.6-8.1), doctor-diagnosed asthma (OR = 5.3, 95%CI: 3.3-8.6), and studies with low risk of bias (OR = 4.5, 95%CI: 2.9-7.2) showed conclusions consistent with overall analyses (Table 1). For the studies that reported confounding factors, we illustrated the definitions in Supplementary Tables 8 and 9. Qualitative confounders included gender, preterm birth, smoking exposure, crowding, family history of atopy, and family history of asthma. Quantitative confounders included age at LRTI development, age at interview, birth weight, gestational age, number of siblings, weight, and height. The association between LRTI and subsequent asthma was also maintained in all sensitivity analyses including more than two studies with confounding factor proportions similar between cases and controls, notably for male gender, weight, height, age, presence of pets in the home, family history of atopy, family history of asthma, and exposure to smoke.

Table 1 Asthma in children with and without viral lower respiratory tract infections in infancy and control without respiratory diseases.
Asthma
OR (95%CI)
95% prediction interval
Studies, n
LRTI cases, n
Controls, n
H (95%CI)
I² (95%CI)
P value, heterogeneity
P value, Egger’s test
Overall5 (3.3-7.5)(1.2-20.3)1890696321.6 (1.2-2.0)58.8 (30.6-75.5)0.0010.671
Sensitivity analyses
First episode of LRTI4.6 (2.6-8.1)(0.8-27.1)1172591991.7 (1.3-2.4)67 (37.7-82.5)0.0010.974
Doctor-diagnosed asthma5.3 (3.3-8.6)(1.4-19.7)1057190571.6 (1.1-2.2)59.3 (18.4-79.7)0.0080.822
Low risk of bias4.5 (2.9-7.2)(1.1-18.2)1473214411.5 (1.1-2.0)54.5 (16.9-75.1)0.0070.873
Asthma in father12.5 (4.9-31.9)NA25560100.741NA
Asthma in mother12.5 (4.9-31.9)NA25560100.741NA
Asthma in parents10.6 (5.4-20.9)(2.4-47.1)41863701 (1.0-2.6)0 (0-84.7)0.6530.034
Asthma in siblings12.5 (4.9-31.9)NA25560100.741NA
Atopy in father12.5 (4.9-31.9)NA25560100.741NA
Atopy in mother6.1 (4.1-8.9)(0.5-72.6)32135771.2 (1.0-3.7)30.6 (0-92.8)0.2370.358
Atopy in parents9.1 (4.7-17.5)(3.1-26.4)52003751.1 (1.0-2.3)11.2 (0-81.5)0.3420.233
Atopy in siblings14.9 (3.7-58.9)NA12330NANA1NA
Current allergy2.3 (0.9-5.8)NA13564NANA1NA
Current eczema2.3 (0.9-5.8)NA13564NANA1NA
Family history of asthma14.9 (4.9-45.4)NA293183100.496NA
Family history of atopy14.9 (4.9-45.4)NA293183100.496NA
Family smoking14.6 (5.9-36.2)(0-5178.5)31402781 (1.0-3.1)0 (0-89.6)0.7810.349
Father smoking12.5 (4.9-31.9)NA25560100.741NA
Father smoking, time of study1.2 (0.4-3.9)NA1130111NANA1NA
Heredity for asthma13.9 (2.9-65.8)NA14793NANA1NA
Heredity for atopy13.9 (2.9-65.8)NA14793NANA1NA
History of atopic dermatitis1.2 (0.4-4.0)NA13737NANA1NA
Male gender5.3 (3.9-7.2)(3.6-7.8)84519451.3 (1.0-2.0)44.3 (0-75.3)0.0840.913
Mother smoking12.5 (4.9-31.9)NA25560100.741NA
Mother smoking, 10 yr before1.2 (0.4-3.9)NA1130111NANA1NA
Parental smoking2.3 (0.9-5.8)NA13564NANA1NA
Pets at home6.5 (3.9-11.0)(1.8-24.3)74829651.4 (1.0-2.2)50.8 (0-79.1)0.0580.934
Positive airway responsiveness1.2 (0.4-4.0)NA13737NANA1NA
Positive skin prick test1.2 (0.4-4.0)NA13737NANA1NA
Prematurity10.8 (3.0-38.7)NA13230NANA1NA
Running water3.9 (1.8-8.6)NA195113NANA1NA
Siblings in the house2.3 (0.9-5.8)NA13564NANA1NA
Single heredity for asthma28.1 (3.5-225.7)NA14793NANA1NA
Single heredity for atopy28.1 (3.5-225.7)NA14793NANA1NA
Smoke exposure5.1 (3.6-7.2)(0.5-49.0)32997221 (1.0-3.1)0 (0-89.6)0.6650.801
Wheeze the first 5 yr of life1.2 (0.4-4.0)NA13737NANA1NA
Age at interview (yr)1.1 (0.1-13.8)NA1145NANA1NA
Age at recruitment (mo)12.5 (4.9-31.9)NA25560100.741NA
Gestational age (wk)5.2 (3.4-8.0)NA1158517NANA1NA
Height at age 6 (cm)5.2 (3.4-8.0)NA1158517NANA1NA
Height at interview (cm)9.4 (4.6-19.3)(0.1-1002.0)31392771 (1.0-3.1)0 (0-89.6)0.7110.194
Number of siblings17.9 (5.1-62.2)NA294186100.596NA
Weight at age 6 (kg)5.2 (3.4-8.0)NA1158517NANA1NA
Weight at interview (kg)14.6 (5.9-36.2)(0-5178.5)31402781 (1.0-3.1)0 (0-89.6)0.7810.349
Subgroup analysis

The subgroup analyses are displayed in Supplementary Table 10. The strength of the association between LRTI and asthma was significantly stronger for studies with probabilistic than non-probabilistic recruitment [OR = 4.5 (3.0-6.8) vs OR = 12.5 (4.9-31.9), P = 0.048]. The strength of association between LRTI and subsequent asthma also varied significantly among countries (P < 0.001). Age at follow-up was related to the strength of the association between LRTI in childhood and the development of asthma later (P = 0.005). The association of asthma with LRTI in childhood was higher in studies with hospitalized controls (OR = 14.2, 95%CI: 6.7-30.1) compared to studies with ambulatory controls (OR = 3.9, 95%CI: 2.3-6.6) and was statistically significant (P = 0.006). Other parameters including the age of LRTI development, the virus detected in children with LRTI, the type of LRTI, and the phenotype of asthma did not significantly influence the strength of the association between LRTI and subsequent asthma.

Heterogeneity and publication bias

Using visual inspection, the asymmetry distribution of the funnel graph was used to check for publication bias. We observed no publication bias by the funnel graph (Supplementary Figure 1). The P = 0.671 of the Egger regression test also indicated an absence of publication bias. We recorded a substantial heterogeneity [I2 = 58.8 (30.6-75.5)] in the overall estimates (Table 1).

DISCUSSION

We have two main results in this meta-analysis: (1) By taking into account multiple confounding factors including gender, age at LRTI development, age at interview, gestational age, birth weight, weight, height, smoking exposure, overcrowding, and family history of atopy/asthma, this meta-analysis suggests that LRTI due to several viruses in children < 2 years is significantly associated with an increased risk of asthma up to 20 years later; and (2) This increased risk of developing asthma was present regardless of the virus detected in LRTI and the type of LRTI.

Our findings are correlated with similar systematic reviews previously conducted[44,86-89]. Kneyber et al[44] reported in a quantitative analysis in 2001 the increased risk of asthma in hospitalized children for bronchiolitis episodes due to HRSV at less than 1 year compared to controls. The systematic review by Pérez-Yarza et al[88] analyzed 8 published studies from 1985 to 2006 and found a positive association between HRSV respiratory infections at less than 3 years of age and the risk of subsequent physician-diagnosed asthma development. Régnier et al[89] in 2013 showed in a review of 15 studies published from 1977 to 2012 that hospitalizations with HRSV at less than 3 years were correlated significantly with a risk of developing a parent or physician-diagnosed asthma in the 12 mo preceding follow-up. Fauroux et al[86], in a systematic review without meta-analysis conducted in 2017 on studies published between 1995 and 2015 and conducted in Western countries, also reported increased risk of developing asthma following hospitalizations due to severe HRSV LRTI registered at less than 3 years. Liu et al[87] also reported in 2017 in a review of 15 studies published between 1988 and 2017 that wheezing due to RV predisposed children at high risk of asthma later[87]. In this study, the definitions of asthma were prioritized in order of decreasing priority: doctor-diagnosed asthma vs parent-diagnosed asthma and current asthma vs asthma during the previous year vs asthma at any time.

In a review published by Edmond et al[90] in 2012, no association was observed between childhood pneumonia and the development of subsequent asthma. Most studies on the association between viral LRTIs and the subsequent development of asthma have focused primarily on bronchiolitis such as LRTI. Early studies show that HRSV infections were associated with increased risk of asthma[44,86,88,89]. In this systematic review, regardless of the virus responsible for bronchiolitis in childhood, the association remained with asthma later. The risk was higher in non-HRSV viruses and more specifically in human metapneumovirus and RV, suggesting that the development of asthma after bronchiolitis in childhood is not different depending on the type of virus detected in the LRTI. This result is consistent with the meta-analysis of Liu et al[87], who had shown that childhood RV infections predisposed to the risk of developing asthma later. The systematic review by Fauroux et al[86] found that infections with non-HRSV respiratory viruses (influenza A, human bocavirus, human parainfluenza virus-3, human adenovirus, human metapneumovirus, and unknown etiology) were associated with a higher risk of subsequent asthma than HRSV.

The attribution of the causal role of preschool or adult asthma to bronchiolitis remains a subject of debate[91]. Several other factors such as female sex, passive smoking, overweight, low weight at birth, premature birth, or family history of atopy have been proposed as factors associated with asthma at school age[24,92-97]. Breastfeeding was also reported as a protective factor against asthma as a result of bronchiolitis in childhood[58,98]. These multiple other risk factors could interact additively with bronchiolitis to promote the development of asthma[45]. This meta-analysis appropriately assessed for the first time the confounders of the relationship between bronchiolitis in childhood and asthma later. This meta-analysis revealed that bronchiolitis is independently associated with subsequent asthma.

In this systematic review, we followed a rigorous methodology according to the PRISMA guidelines and applied a very sensitive research strategy accompanied by a very intensive manual search. We carefully collected and shared the individual data from the included studies and gave the individual reasons for exclusion of all articles examined entirely. We have explored and explained almost all sources of heterogeneity. The multiple sensitivity analyses gave consistent results with the overall results.

However, some methodological weaknesses must be considered in interpreting the results of this study and in future research on the subject. First, some subgroup analyses were probably limited by the small number of studies, particularly the non-bronchiolitis and non-HRSV studies. Apart from these areas eligible for improvement, future work should focus on assessing the sequelae of non-bronchiolitis LRTI with non-HRSV etiology, particularly in low income countries (Africa and Southeast Asia) where the data suggested that asthma could be associated with a significant burden[99]. Another potential limitation of this review would be the absence of data in the included studies concerning the type of asthma observed, which could be allergic asthma or not.

CONCLUSION

In conclusion, the current meta-analysis has shown that viral LRTI at ≤ 2 years, independently of the detected virus, is a predictive factor of asthma sequelae up to the age of 20. Health care workers and parents should be aware of these findings when managing viral LRTI in childhood.

ARTICLE HIGHLIGHTS
Research background

We performed a literature search in PubMed and Global Index Medicus in December 2019 using keywords covering low respiratory tract infections AND common respiratory viruses AND asthma. The results of our research depicted in original articles, narrative reviews, and systematic reviews suggesting that human respiratory syncytial virus (HRSV) and rhinovirus (RV) bronchiolitis in childhood are associated with an increased risk of asthma later. This research also identified conflicting data on the influence of confounding factors on the high risk of developing asthma after bronchiolitis in childhood. It has also emerged from this research that the involvement of lower respiratory tract infections (LRTI) other than bronchiolitis and respiratory viruses other than HRSV and RV in the subsequent risk of asthma remains hypothetical to date.

Research motivation

Taking into account confounding factors, the influence of respiratory infections other than bronchiolitis in childhood and respiratory viruses other than HRSV and RV should be weighed against the risk of developing subsequent asthma.

Research objectives

This study was conducted to assess the influence of viral LRTI at < 2 years on the risk of subsequent asthma development.

Research methods

This meta-analysis included cohort studies with viral LRTI at < 2 years as exposure and asthma as outcome. R software version 4.1.0 was used to calculate the odds ratios and their 95%CI using a random-effects model.

Research results

This study included 15 articles and demonstrated the implications of childhood viral LRTI in the risk of subsequent asthma development up to the age of 20 (odds ratio = 5.0, 95%CI: 3.3-7.5). This risk of developing asthma was not influenced in sensitivity analyses including only confounding factors with similar proportions between exposed and unexposed. The estimates were not affected by publication bias, but there was significant heterogeneity.

Research conclusions

Childhood viral LRTIs, primarily HRSV bronchiolitis, are significantly associated with a risk of developing asthma later in life.

Research perspectives

To curb the heavy burden of asthma in patients of all ages, we hope that the results of this review will encourage the implementation of a sensitization program for this association of viral LRTI in childhood and the subsequent asthma risk. Interventional studies are needed to involve the causality relationship between neonatal viral LRTI and the subsequent risk of asthma.

Footnotes

Provenance and peer review: Invited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Respiratory system

Country/Territory of origin: Cameroon

Peer-review report’s scientific quality classification

Grade A (Excellent): 0

Grade B (Very good): B

Grade C (Good): 0

Grade D (Fair): 0

Grade E (Poor): 0

P-Reviewer: Alberca RW, Brazil S-Editor: Zhang H L-Editor: Filipodia CL P-Editor: Zhang H

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