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Article

Epidemiology of the Rhinovirus (RV) in African and Southeast Asian Children: A Case-Control Pneumonia Etiology Study

by
Vicky L. Baillie
1,2,*,
David P. Moore
1,2,3,
Azwifarwi Mathunjwa
1,2,
Henry C. Baggett
4,5,
Abdullah Brooks
6,7,
Daniel R. Feikin
8,9,
Laura L. Hammitt
8,10,
Stephen R. C. Howie
11,12,
Maria Deloria Knoll
8,
Karen L. Kotloff
13,
Orin S. Levine
8,
Katherine L. O’Brien
8,
Anthony G. Scott
10,14,
Donald M. Thea
15,
Martin Antonio
11,16,
Juliet O. Awori
10,
Amanda J. Driscoll
8,17,
Nicholas S. S. Fancourt
8,
Melissa M. Higdon
8,
Ruth A. Karron
18,
Susan C. Morpeth
10,14,19,
Justin M. Mulindwa
20,
David R. Murdoch
21,22,
Daniel E. Park
8,23,
Christine Prosperi
8,
Mohammed Ziaur Rahman
7,
Mustafizur Rahman
7,
Rasheed A. Salaudeen
11,24,
Pongpun Sawatwong
4,
Somwe Wa Somwe
20,
Samba O. Sow
25,
Milagritos D. Tapia
13,
Eric A. F. Simões
1,26 and
Shabir A. Madhi
1,2
add Show full author list remove Hide full author list
1
South African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2050, South Africa
2
Department of Science and Technology/National Research Foundation: Vaccine Preventable Diseases Unit, University of the Witwatersrand, Johannesburg 1864, South Africa
3
Department of Paediatrics & Child Health, Chris Hani Baragwanath Academic Hospital and University of the Witwatersrand, Johannesburg 1864, South Africa
4
Division of Global Health Protection, Thailand Ministry of Public Health–U.S. Centers for Disease Control and Prevention Collaboration, Nonthaburi 11000, Thailand
5
Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
6
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
7
International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka and Matlab, Bangladesh
8
Department of International Health, International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
9
Division of Viral Diseases, National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
10
Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi 80108, Kenya
11
Medical Research Council Unit at the London School of Hygiene and Tropical Medicine, Basse 273, The Gambia
12
Department of Paediatrics: Child & Youth Health, University of Auckland, Park Rd, Auckland 1023, New Zealand
13
Division of Infectious Disease and Tropical Pediatrics, Department of Pediatrics, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD 21205, USA
14
Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK
15
Department of Global Health, Boston University School of Public Health, Boston, MA 02118, USA
16
Department of Pathogen Molecular Biology, London School of Hygiene & Tropical Medicine, Microbiology and Infection Unit, Warwick Medical School, University of Warwick, Coventry CV4 7JJ, UK
17
Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD 21205, USA
18
Department of International Health, Center for Immunization Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
19
Microbiology Laboratory, Middlemore Hospital, Counties Manukau District Health Board, Auckland 1640, New Zealand
20
Department of Paediatrics and Child Health, University Teaching Hospital, Lusaka 50110, Zambia
21
Department of Pathology and Biomedical Sciences, University of Otago, Christchurch 8011, New Zealand
22
Microbiology Unit, Canterbury Health Laboratories, Christchurch 8140, New Zealand
23
Milken Institute School of Public Health, Department of Epidemiology, George Washington University, Washington, DC 20052, USA
24
Medical Microbiology Department, Lagos University Teaching Hospital, Lagos 100254, Nigeria
25
Centre pour le Développement des Vaccins (CVD-Mali), Bamako 198, Mali
26
Department of Pediatrics, University of Colorado School of Medicine and Center for Global Health, Colorado School of Public Health, Aurora, CO 80309, USA
*
Author to whom correspondence should be addressed.
Viruses 2021, 13(7), 1249; https://doi.org/10.3390/v13071249
Submission received: 12 May 2021 / Revised: 17 June 2021 / Accepted: 18 June 2021 / Published: 27 June 2021
(This article belongs to the Special Issue Rhinovirus Infections)

Abstract

:
Rhinovirus (RV) is commonly detected in asymptomatic children; hence, its pathogenicity during childhood pneumonia remains controversial. We evaluated RV epidemiology in HIV-uninfected children hospitalized with clinical pneumonia and among community controls. PERCH was a case-control study that enrolled children (1–59 months) hospitalized with severe and very severe pneumonia per World Health Organization clinical criteria and age-frequency-matched community controls in seven countries. Nasopharyngeal/oropharyngeal swabs were collected for all participants, combined, and tested for RV and 18 other respiratory viruses using the Fast Track multiplex real-time PCR assay. RV detection was more common among cases (24%) than controls (21%) (aOR = 1.5, 95%CI:1.3–1.6). This association was driven by the children aged 12–59 months, where 28% of cases vs. 18% of controls were RV-positive (aOR = 2.1, 95%CI:1.8–2.5). Wheezing was 1.8-fold (aOR 95%CI:1.4–2.2) more prevalent among pneumonia cases who were RV-positive vs. RV-negative. Of the RV-positive cases, 13% had a higher probability (>75%) that RV was the cause of their pneumonia based on the PERCH integrated etiology analysis; 99% of these cases occurred in children over 12 months in Bangladesh. RV was commonly identified in both cases and controls and was significantly associated with severe pneumonia status among children over 12 months of age, particularly those in Bangladesh. RV-positive pneumonia was associated with wheezing.

1. Introduction

Rhinovirus (RV) was first discovered in 1956 in individuals with mild respiratory tract infection [1]. However, since the advance in molecular diagnostic tools—namely, the polymerase chain reaction (PCR)—HRV has been recognized as one of the most prevalent respiratory viruses in children requiring hospitalization. RV has also been commonly detected in children with otitis media, sinusitis, asthma exacerbation, cystic fibrosis, bronchitis, and lower respiratory tract infection (LRTI) [2,3,4,5,6,7,8,9,10,11,12]. The role of RV in severe childhood LRTI, however, remains controversial. RV identification is ubiquitous in healthy, asymptomatic children [13], and virus shedding can persist for 10–14 days [14].
Several studies have examined RV prevalence in hospitalized children and healthy controls to determine the clinical significance of RV detection in both diseased and healthy individuals. In the majority of these studies, cases had a significantly higher prevalence of RV detected than controls [15,16,17,18,19]. However, these studies were not specifically designed to address the clinical epidemiology of RV and viral or bacterial coinfections in relation to disease severity [15,17,20]. Understanding the importance of HRV infection is critical when it comes to determining future strategies for disease treatment and prevention.
The Pneumonia Etiology for Child Health (PERCH) study has previously reported on the overall and high-level causes of pneumonia in children [21]. In this study, we specifically focus on the clinical epidemiology of RV infection, overall and by site, and its interactions with other respiratory pathogens in children 1–59 months of age hospitalized with pneumonia and in community controls.

2. Materials and Methods

2.1. Case and Control Definitions

The PERCH study was undertaken in seven countries, including South Africa, Mali, Zambia, Kenya, The Gambia, Bangladesh, and Thailand from August 2011 through January 2014 (Figure 1).
Details on enrollment of cases and controls, sample testing, and clinical evaluation in the PERCH study have been described elsewhere [21,22]. Briefly, pneumonia cases were children aged 28 days to 59 months hospitalized with World Health Organization (WHO)-defined severe or very severe pneumonia (according to the pre-2013 definitions) [23,24]. Controls were enrolled from the same communities as cases and included children without symptoms of severe or very severe pneumonia who were frequency-matched by age group and month of enrollment to the cases. For analysis, the controls were stratified into those with acute respiratory infections (ARI), defined as having (1) cough or runny nose or (2) ear discharge, wheezing or difficulty breathing, together with either a fever (temperature greater or equal to 38 °C in the past 48 h) or a sore throat, and those who were asymptomatic at the time of sampling (non-ARI).

2.2. Specimen Collection and Laboratory Testing

Flocked nasopharyngeal (NP) swabs (Flexible minitip, Copan ®, Murrieta, CA, USA) and rayon oropharyngeal (OP) swab specimens were collected from cases and controls upon enrollment. The swabs were combined in a single 3 mL of Universal Transport Media (Copan ®, CA, USA)-containing vial and kept at 4–8 °C for a maximum of 24 h, then archived at −70 °C until tested. Total nucleic acids were extracted from the combined NP/OP swabs using the NucleiSens EasyMag extraction system as per manufacturer’s instructions (BioMerieux, Marcy l’Etoile, France) and were tested in-country by multiplex PCR for evidence of 33 pathogens (FTD Resp 33, Fast-track Diagnostics, Sliema, Malta). Standard curves were used to calculate pathogen load from PCR cycle threshold values [25].
Other investigations included blood culture on cases using the BACTEC (Becton Dickinson, Sparks, MD, USA) in South Africa, Kenya, Mali, Zambia, and The Gambia. Thailand and Bangladesh used the BacT/Alert microbial system for blood culture (Organon Teknika, Durham, NC, USA). Induced sputum, and pleural fluid where clinically indicated, gastric aspirate, and lung aspirate (eligible cases only in The Gambia, Mali, South Africa, and Bangladesh) samples were collected and cultured using standard culture and biochemical tests. The induced sputum and pleural fluids were also tested using the FTD-33 respiratory panels. The FTD-33 RV results for the induced sputum showed substantial kappa concordance with the RV NP/OP results (0.60; p < 0.001). Further, the NP/OP specimens had the analytical advantage of being available for both the cases and the controls. Thus, only the NP/OP results were included in this and the previously published PERCH etiology analysis [26]. Pleural fluid specimens were also tested for pneumococcal antigen with the BinaxNow® antigen detection kit (Alere, Orlando, Florida). Microbiologically confirmed pneumococcal pneumonia (MCPP) was defined as Streptococcus pneumoniae cultured from a normally sterile fluid. In addition, a case was considered to have MCPP if the pleural fluid or lung aspirate was FTD-33 PCR positive for pneumococcus or pneumococcus antigen positive on the BinaxNow® assay.

2.3. Statistical Analysis

The analysis was limited to HIV-uninfected children, with the epidemiology of RV in relation to HIV infection status to be reported separately. PCR quantifications were log10 transformed. Chi-squared and Wilcoxon tests were used to analyze the demographic characteristics of cases and controls. Binary and multinomial logistic regression analyses were used to model the prevalence of RV within the study population. Age categories and site of enrolment, together with variables with an association at p < 0.2 in the univariate analysis, were included in the multivariable models. Reverse cumulative plots were used to analyze the relationship between RV NP/OP viral loads among cases compared with controls and whether RV viral load was associated with severity of disease among cases. All statistical analysis and reverse cumulative plots were performed using STATA Version 12.1 (College Station, TX, USA), and a two-sided p-value < 0.05 was considered statistically significant. Further, the PERCH integrated analysis (PIA) method, described in detail elsewhere [26,27,28], was used to estimate the percentage of pneumonia attributable to each pathogen, including RV. The PIA gave an estimate for both the individual- and population-level etiology probability distribution for each pathogen ranging from 0% to 100%, with >75% considered to be a higher probability of RV being the cause of pneumonia. The PIA assigned the probability of a pathogen being the cause of pneumonia based on the laboratory testing results and prior probability with 95% CI at both the population and individual level [26].

3. Results

3.1. Characteristics of Community Controls by RV Status

RV was detected in 21% of community controls and was more likely to be detected in controls with ARI (25%) than non-ARI children (20%; aOR = 1.6, 95%CI: 1.3–1.8), regardless of age group. This association was mainly driven by the Asian sites and Kenya (Supplementary Materials S1 and S2). We found no difference in NP/OP viral load between ARI controls and non-ARI controls among RV-positive participants. RV-positive controls were younger (mean age of 13.2 months) and more likely to have been born prematurely (gestational age <37 weeks) than those without RV infection (mean age of 16.1 months). The RV-positive controls were also more likely to have a respiratory tract infection with symptoms of rhinorrhea or cough compared with the RV-negative controls (Table 1). Thirty-eight percent of RV-positive controls were coinfected with other viruses compared with forty-seven percent of RV-negative controls. Common RV-positive co-infections included bocavirus (HBoV), adenovirus (AdV), and coronaviruses (HCoV), which were also identified with similar frequency among RV-negative controls (Table 1). There was also a similar prevalence in the detection of respiratory syncytial virus (RSV), human metapneumovirus (HMPV), and parainfluenza viruses (PIV) between RV-positive and RV-negative controls, while the prevalence of co-infection with influenza virus was lower among RV-positive controls (Table 1). RV-positive controls were more likely to be co-infected with common nasopharyngeal colonizing bacteria, including M. catarrhalis, H. influenza, and S. pneumoniae, compared with the RV-negative controls.
Among the RV-positive controls, those in whom RV was the only respiratory virus detected in the NP/OP swabs were younger than the children with RV together with other co-infecting viruses (Table 2). There were no other differences in demographics and in health and clinical characteristics between controls where RV was the only respiratory virus detected and RV-mixed viral infections (Table 2). The controls where RV was the only respiratory virus detected were, however, more likely to be co-infected with S. pneumoniae in the nasopharynx/oropharynx. Further, there were no differences in the RV viral load between these two groups (3.5 vs. 3.4 log10 copies/mL; p = 0.28).

3.2. RV infection Among Pneumonia Cases

Of the 3870 pneumonia cases, 68% were categorized as severe and 32% as very severe. RV was detected in 24% of cases, with no difference between severe and very severe cases. Although RV-positive very severe cases had higher NP/OP RV viral load (3.8 log10 copies/mL) than severe cases (3.6 log10 copies/mL, p = 0.01), we did not identify a threshold to discriminate disease severity using reverse cumulative plot or Youden indices (Supplementary Materials S1).
RV-positive cases were significantly older than those without RV infection (mean 13.1 vs. 11.2 months), but they were similar in other demographic characteristics (Table 3). Compared with RV-negative cases, RV-positive cases were more likely to have wheezing and tachypnea. Conversely, RV-positive cases were less likely to have radiographically confirmed pneumonia (chest X-ray with any infiltrate), to present with convulsions, and to have prolonged hospital stays (>3 days). There was no association between RV infection and the presence of hypoxia, mechanical ventilation, or case fatality. RV-positive cases were less likely than RV-negative cases to present with fever, alveolar consolidation on chest X-ray, and medically significant C-reactive protein levels (CRP ≥40 mg/L). RV-positive cases were, however, more likely to have leukocytosis. RV-positive compared with RV-negative cases were less likely to be infected with RSV, influenza virus, HMPV, and PIV. The individual site evaluation is available in Supplementary Materials S3 and S4, with similar trends as observed for the overall site comparisons.
Co-infection with at least one other respiratory virus was more common among RV-positive cases compared with RV-negative cases (Table 4). RV-positive cases without detection of other viruses (mono-RV) were older than those with co-infections, and in the multivariable analysis, adjusting for co-infecting bacteria, mono-RV cases had a higher case fatality ratio (7%) than those with co-infections (3%, aOR = 2.6, aOR 95%CI:1.2–5.5). There were other differences in demographics, clinical features, or markers of bacterial co-infections; however, the mono-RV cases were less likely to be co-infected with H. influenzae and M. catarrhalis in the nasopharynx/oropharynx. There were no differences in RV viral load between the mono-RV infected cases (3.8 log10 copies/mL) compared with the cases with mixed RV-viral infections (3.6 log10 copies/mL; p = 0.080).
Of the RV-positive cases, 13% (N = 105/912) had >75% probability that RV was the cause of their pneumonia based on the PERCH integrated etiology analysis [26]; 99% (N= 104/105) of these cases were in children over the age of 12 months from Bangladesh (Figure 2).

3.3. Case-Control Comparison of RV Infection in Children

In a multivariable analysis, adjusting for age category, site of enrolment and co-infecting bacteria and viruses, RV detection was more common among cases (24%) than controls (21%; aOR = 1.5, 95%CI:1.3–1.6). RV prevalence among cases varied by age group, with the highest prevalence among those 12–59 months of age (28%, Figure 3B). Further, the prevalence of RV among the 1- to 5-month age group cases was lower than the age group-matched controls (21% vs. 25%, p = 0.01), while higher among cases (28%) than controls (18%, aOR = 2.1, 95%CI:1.8–2.5; p = 0.03) in children over 12 months of age (Figure 3B and Supplementary Materials Table S5). Further, RV was more likely to be detected as a mixed viral infection among cases compared with controls (11% vs. 8%; p = 0.001) (Figure 3A and Supplementary Materials Table S5); however, by age group, this was only evident in the infants. The RV association with case status was only evident in Thailand, Bangladesh, and Kenya (Figure 3C and Supplementary Materials Table S5). However, when stratified to children >12 months, all sites showed a higher prevalence of RV detection in the cases vs. the controls—though mainly in Kenya, Zambia and Bangladesh (Figure 3D–E).
To identify risk factors for RV-positive pneumonia hospitalization, and because RV detection was associated with pneumonia in children >12 months of age (Figure 2B and Supplementary Materials Table S5), we compared RV-positive cases with RV-positive controls in children 12–59 months of age (Table 5). The only difference was that the RV-positive cases were more likely than controls to be underweight and to have higher NP/OP RV viral load (3.7 vs. 3.4 log10 copies/mL; p < 0.001), independent of whether RV was detected as a mono- (3.8 vs. 3.5 log10 copies/mL; p = 0.002) or co-infection (3.3 vs. 3.3 log10 copies/mL; p < 0.001) compared with the RV-positive controls. We were, however, unable to identify any RV viral load threshold that distinguished RV-positive cases from RV-infected controls either on the reverse cumulative plot or Youden index (Supplementary Materials Figure S2). Conversely, RV-positive cases were less likely to have a co-colonizing bacteria in the nasopharynx/oropharynx—in particular, S. pneumoniae and M catarrhalis. Similar trends were seen when RV-positive cases were compared with RV-positive controls, regardless of age (Supplementary Materials Table S6).

4. Discussion

In this large, multi-country, case-control pneumonia etiology study, it was found that children >12–59 months of age hospitalized with severe or very severe pneumonia were more likely to have RV detected on NP/OP swabs compared with community controls, even after adjustment for confounding variables, including the presence of other respiratory viruses. This association with case status was mainly observed in the Bangladesh sites. This association was, however, not observed among infants aged 1 to <12 months. Further, a high prevalence (20%) of RV detection was detected in non-ARI community controls concordant with other studies (10–24%) [9,13,15,16,18,29,30]. This is possibly due to widespread circulation of RV coupled with prolonged shedding of RV [31]. RV detection was significantly more common among controls with ARI (25%), once again mainly driven by the Asian sites. The association of RV with case status and ARI controls in Bangladesh children was the first real geographical difference in etiology of disease observed in the PERCH study and could potentially be linked to the increased incidence of wheezing disease and poorer air quality in Bangladesh [32]. Thus, although detection of RV in respiratory samples does not necessarily confirm causality with any concurrent illness/symptom, our results suggest a role of RV in the pathogenesis of some respiratory illness beyond the infancy period.
Notably, pneumonia cases where RV was the only respiratory virus detected in the nasopharyngeal/oropharyngeal sample in our study had higher viral loads, elevated CRP levels, and higher case fatality ratio compared with cases with RV and other viral co-infections after adjusting for site and age. This along with the negative association between RV and several other common respiratory viruses noted in our study suggests antagonism between the viruses and that perhaps when RV infections out compete other viruses, the result is a more severe infection. Regardless, the identification of RV alone among pneumonia cases is possibly of greater significance in attributing a role of RV to the pathogenesis or etiology of pneumonia among the cases. The association of RV mono-viral infections being associated with more severe disease was also reported in a previous South African study enrolling children less than 5 years of age with pneumonia [19]. Furthermore, cases had higher mean RV viral load than controls, and an association between increased viral load and more severe disease was observed among the RV-positive cases. However, we were unable to identify a specific RV nasopharyngeal density threshold to discriminate between cases and controls or among cases by severity. This association between higher RV viral load and more severe disease has also been described by others [33,34,35,36], where viral load correlated with illness severity.
When comparing RV-positive controls to RV-positive cases in children 12–59 months of age, the only risk factor associated with case status was malnutrition. This was, however, also a common case-control risk factor identified in the PERCH study [26]. Other study limitations included the cross-sectional study design with only a single specimen taken on enrollment into the study regardless of when symptoms started and that controls were not interviewed about disease episodes more than three days prior to enrollment. Thus, we were unable to determine the temporal association of detection of RV in relation to the onset of current or previous symptoms. Additionally, controls were not followed up to determine whether they became ill post sampling. Thus, we could not rule out the possibility they were in the incubation period of disease at the time of sampling. This was seen in a Finnish study [16] that enrolled children under the age of 15 years with acute wheezing (N = 161) as well as surgical controls (N = 79). They found that RV prevalence was 16% and 8% in the cases and controls, respectively. Although the controls were asymptomatic at the time of sampling, 5 of the 13 RV-positive controls developed respiratory symptoms in the following week [16]. Furthermore, our study used URT sampling as a proxy for sampling the site of infection. Direct sampling of the LRT, including lung aspirates and bronchoalveolar lavage, would provide more direct evidence on the causal pathogen of the pneumonia episode. However, these samples are invasive and difficult to perform in infants and children. The Fast Track multiplex PCR assay might have underestimated the RV prevalence, as the assay can fail to detect some RV strains [36,37]. We also cannot exclude cross-reactions between RV and enteroviruses. Genetic sequencing of positive specimens is required to better understand the contribution of RV species and enteroviruses to pneumonia etiology.

5. Conclusions

In conclusion, the large study size allowed us to analyze many different variables, interrogate the relevance of RV co-infections, and include controls to account for potential confounders for RV-positive disease severity and death. The study findings suggest that RV clinical outcomes are influenced by geographical location as well as by multiple host-specific factors, including age, nutritional status as well as RV viral loads and the presence of viral and bacterial co-infections. It also highlights the need to test for both viral and bacterial pathogens in children hospitalized with severe pneumonia. The risk factors for infection that we have identified point the way to interventions, but they are long-term development challenges that are not easy to correct. New treatment and prevention strategies are necessary to reduce what appears to be a substantial morbidity associated with RV disease.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/v13071249/s1, Figure S1: Reverse Cumulative Plot of RV Viral Load in the Nasopharyngeal/Oropharyngeal Sample among Very Severe and Severe Pneumonia Cases. The Viral Loads of Very Severe Cases Are Shown in Red and the Severe Cases in Purple, Figure S2: Reverse Cumulative Plot of RV Viral Load in the Nasopharyngeal/Oropharyngeal Sample among Cases and Controls. The Viral Loads of Cases Are Shown in Red and the Controls in Blue. Table S1: Demographic and Clinical Characteristics of Controls by rhinovirus Infection Status for Each African Site, Table S2: The Demographic and Clinical Characteristics of Controls by rhinovirus Infection Status for Each Southeast Asian Site Individually, Table S3: The Demographic and Clinical Characteristics of Cases by rhinovirus Infection Status for Each African Site Individually, Table S4: The Demographic and Clinical Characteristics of Cases by rhinovirus Infection Status for Each Southeast Asia Site Individually, Table S5: rhinovirus-Positive Pneumonia Cases (N = 912) and Controls (N = 1056) overall, by site of enrolment, and by age group, Table S6: Demographic, Clinical and Laboratory Findings of rhinovirus-Positive Pneumonia Cases (N = 912) and Controls (N = 1056), All PERCH Sites.

Author Contributions

Conceptualization, V.L.B., D.P.M., H.C.B., A.B., L.L.H., S.R.C.H., M.D.K., K.L.K., O.S.L., K.L.O., A.G.S., O.S.L., D.M.T., M.A., R.A.K., D.R.M., S.C.M., S.A.M. and E.A.F.S.; methodology, V.L.B., D.P.M., H.C.B., A.B., L.L.H., S.R.C.H., M.D.K., K.L.K., O.S.L., K.L.O., A.G.S., O.S.L., D.M.T., M.A., D.R.M., S.C.M., M.D.T., M.M.H., N.S.S.F., A.D; software, M.D.K., C.P., D.P.M.; formal analysis, V.L.B., S.A.M., K.L.K., D.M.T., R.A.K.; investigation, V.L.B., D.P.M., H.C.B., A.B., L.L.H., S.R.C.H., M.D.K., K.L.K., O.S.L., K.L.O., A.G.S., O.S.L., D.M.T., M.A., D.R.M., S.C.M., S.W.S., M.D.T., M.M.H., N.S.S.F., and A.J.D.; software, M.D.K., C.P. and D.E.P.; resources, A.M., D.R.F., J.O.A., J.M.M., M.Z.R., M.R., R.A.S., P.S. and S.O.S.; data curation, V.L.B., D.P.M., H.C.B., A.B., L.L.H., S.R.C.H., M.D.K., K.L.K., O.S.L., K.L.O., A.G.S., O.S.L., M.A., R.A.K., D.R.M., S.C.M., S.A.M. and E.A.F.S.; writing—original draft preparation, V.L.B.; writing—review and editing, V.L.B., K.L.K., D.M.T., R.A.K., M.D.T., S.A.M. and E.A.F.S.; supervision, S.A.M., E.A.F.S. and D.R.M.; project administration, V.L.B., D.P.M., H.C.B., A.B., L.L.H., S.R.C.H., M.D.K., O.S.L., K.L.O., A.G.S., O.S.L., D.M.T., M.A., J.M.M., D.R.M., S.C.M., S.W.S., M.D.T., S.A.M. and E.A.F.S.; funding acquisition, K.L.O., O.S.L. and S.C.M. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by a Bill & Melinda Gates Foundation grant to the International Vaccine Access Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health (grant number 48968).

Institutional Review Board Statement

The PERCH study was reviewed by 10 different institution review boards (IRB)–the initial overall clinical and laboratory testing protocols were reviewed by the JHSPH’s IRB, after which the protocols were customized for each of the sites and reviewed by their local boards. The revised protocols and approvals for each site were then submitted to the JHSPH’s IRB as amendments. This allowed for the collective ownership of the project by the PERCH executive committee as well across the sites. The ethical approvals for each of the sites are listed below:
  • Study Site: South Africa conducted by the Respiratory and Meningeal Pathogens Research Unit, Wits Health Consortium, based at Chris Hani Baragwanath Academic Hospital
    Wits HREC Approval number: M10M101129
    Principal investigator: Prof Shabir A. Madhi
  • Study Site: Kilifi, Kenya conducted by the Kilifi-KEMRI Wellcome Trust Institute
    Approval number from the Kenya Medical Research Institute: KEMRI/RES/7/3/1
    Oxtrec Approval number: 60-09
    Principal investigator: Dr Laura Hammitt
  • Study site: Basse in The Gambia at the MRC institution
    Approval number from The Gambia Government/MRC joint Ethics Committee: L2010.105
    Principal investigators: Dr Stephen Howie
  • Study Site: Bamako, Mali at the University of Maryland Insitution
    Approval number from FMPOS Ethics committee: 2011/07/FMPOS
    Approval number from The University of Maryland Institutional Review Board (IRB): HP00048100
    Principal Investigator: Dr Karen Kotloff
  • Study Site: Lusaka, Zambia at the Boston University Institution
    Approval number from the Blue Panel IRB: HP-29860
    Approval from the ERES Converge IRB: 2010-Dec-001
    Principal Investigator: Dr Donald Thea
  • Study site: Dhaka, Bangladesh at the ICDDR and JHSPH institution
    Approval number from ICDDR,B Ethics Review Committee: PR-11012
    Principal Investigators: Dr Abdullah Brooks
  • Study site: Sa Kaeo and Nakhon Phanom in Thailand at the CDC-Thailand
    Approval number from the Ethical Review Committee for Research in Human Subjects-Ministry of Public Health, Thailand: 17/2554
    Principal Investigators: Dr Pasakorn Akarasewi
    Approval to conduct the clinical and molecular subtyping analysis of HRV in the PERCH project was obtained from the PERCH executive committee on the 18 June 2014 and ethical approval was granted by the University of the Witwatersrand Human Rights and Ethics Board (HREC number: M140906).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

All data are available at https://clinepidb.org/ce/app (accessed 12 May 2021).

Acknowledgments

We acknowledge the work of all PERCH contributors who were involved in data collection at the local sites and central laboratories, members of the PERCH Chest Radiograph Reading Panel, and Shalika Jayawardena and Rose Watt from Canterbury Health Laboratories. Finally, we offer sincere thanks to the patients and families who participated in the study.

Conflicts of Interest

S.A.M. has received honoraria for advisory board participation from Bill & Melinda Gates Foundation, Pfizer, Medimmune, and Novartis and institutional grants from GSK, Novartis, Pfizer, Minervax, and Bill & Melinda Gates Foundation and has served on speakers’ bureaus for Sanofi Pasteur and GSK. M.D.K. has received funding for consultation from Merck, Pfizer, and Novartis and grant funding from Merck. C.P. has received grant funding from Merck. K.L.O. has received grant funding from GlaxoSmithKline and Pfizer and participates on technical advisory boards for Merck, Sanofi-Pasteur, PATH, Affinivax, and ClearPath. K.L.K. has received grant funding from Merck Sharp & Dohme. W.A.B. reported funding from Sanofi, PATH, and Bill & Melinda Gates Foundation (BMGF) and contributed to contemporaneous studies from Serum Institute of India, LTD, Roche, and Sanofi. All other authors: No reported conflicts. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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Figure 1. The number of cases and controls enrolled per country and overall.
Figure 1. The number of cases and controls enrolled per country and overall.
Viruses 13 01249 g001
Figure 2. Individual Case Etiological Probability of rhinovirus-Associated Pneumonia Based the PERCH Integrated Analysis, Stratified by Age Group (A) and Study Site (B). The figures display the distribution of the individual case probability that rhinovirus was the cause of pneumonia based on the PERCH integrated etiology analysis [26]. Cases with an etiologic probability <5% for rhinovirus were excluded to scale the y axis and better visualize the cases with higher probability (>75%) of disease associated with rhinovirus. Cases testing positive for rhinovirus by nasopharyngeal/oropharyngeal RT-PCR are displayed in pink. Cases who tested negative by RT-PCR for rhinovirus are displayed in blue. Cases with missing nasopharyngeal/oropharyngeal PCR data are shown in gray.
Figure 2. Individual Case Etiological Probability of rhinovirus-Associated Pneumonia Based the PERCH Integrated Analysis, Stratified by Age Group (A) and Study Site (B). The figures display the distribution of the individual case probability that rhinovirus was the cause of pneumonia based on the PERCH integrated etiology analysis [26]. Cases with an etiologic probability <5% for rhinovirus were excluded to scale the y axis and better visualize the cases with higher probability (>75%) of disease associated with rhinovirus. Cases testing positive for rhinovirus by nasopharyngeal/oropharyngeal RT-PCR are displayed in pink. Cases who tested negative by RT-PCR for rhinovirus are displayed in blue. Cases with missing nasopharyngeal/oropharyngeal PCR data are shown in gray.
Viruses 13 01249 g002
Figure 3. Prevalence of rhinovirus among Cases and Controls by PERCH overall (A), Age Group (B), and Site of enrolment (CE). The * denotes groups where rhinovirus prevalence differs significantly (adjusted for site of enrolment and age where necessary) between cases and controls. Mono-infections refers to when rhinovirus was the only respiratory virus detected in the nasopharyngeal/oropharyngeal samples, and mixed infections refers to any viral co-infection with rhinovirus and RSV (A,B), HMPV, AdV, InFV (AC), PIV type 1–4, or HCoV (OC43, NL63, 229E, and HKU1). By age group, RV detection was associated with control status in infants 1- to < 6-months of age, and RV detection was associated with case status in children >12–59 months of age. By site, RV detection was associated with case status in Bangladesh and Kenya but only in children >12 months of age.
Figure 3. Prevalence of rhinovirus among Cases and Controls by PERCH overall (A), Age Group (B), and Site of enrolment (CE). The * denotes groups where rhinovirus prevalence differs significantly (adjusted for site of enrolment and age where necessary) between cases and controls. Mono-infections refers to when rhinovirus was the only respiratory virus detected in the nasopharyngeal/oropharyngeal samples, and mixed infections refers to any viral co-infection with rhinovirus and RSV (A,B), HMPV, AdV, InFV (AC), PIV type 1–4, or HCoV (OC43, NL63, 229E, and HKU1). By age group, RV detection was associated with control status in infants 1- to < 6-months of age, and RV detection was associated with case status in children >12–59 months of age. By site, RV detection was associated with case status in Bangladesh and Kenya but only in children >12 months of age.
Viruses 13 01249 g003
Table 1. Demographic and Clinical Characteristics and Respiratory Virus Co-infections among Community Controls with (N = 1056) and without (N = 3921) rhinovirus Infection, All PERCH Sites.
Table 1. Demographic and Clinical Characteristics and Respiratory Virus Co-infections among Community Controls with (N = 1056) and without (N = 3921) rhinovirus Infection, All PERCH Sites.
NumberPercentage
CharacteristicsRV+ RV−RV+RV−aOR a95%CI ap-Value a
Demographic and health:
12–59 months b409183239471.41.2–1.6<0.001
Premature birth c130 37612101.31.1–1.70.01
Never breast fed974 358393921.20.9–1.70.16
Underweight d127 47112121.030.8–1.30.79
Male538 196051500.950.8–1.10.50
Day care attendance163 73916190.950.8–1.10.50
Smoker in household392 151837390.910.8–1.10.15
Clinical:
ARI e299 88028221.61.3–1.9<0.001
Rhinorrhea223 62921161.71.4–2.1<0.001
Cough120 3001181.61.2–2.0<0.001
Fever f56 212550.970.7–1.30.86
Tachypnea g103 45410120.80.6–1.00.05
Diarrhea13 82120.60.3–1.040.07
Respiratory viruses detected:
AdV134 45813121.20.98–1.50.07
HMPV57 147541.20.9–1.70.26
HBoV138 52113131.020.8–1.30.80
PIV68 246660.90.7–1.20.63
HCoV93 4069100.80.6–1.00.05
RSV24 115230.80.5–1.20.30
InFV A-C9 104130.30.1–0.5<0.001
Any viral co-infection40018338470.70.6–0.8<0.001
Bacterial infections in the NP/OP:
H. influenzae type b2359221.60.96–2.60.07
M. catarrhalis836285779731.51.2–1.7<0.001
H. influenzae603195857501.41.2–1.6<0.001
S. pneumoniae860297981761.41.2–1.7<0.001
C. pneumoniae1650211.30.7–2.30.39
M. pneumoniae1852211.30.8–2.30.31
S. aureus13554213140.90.7–1.10.16
B. pertussis110000.30.0–2.60.29
Any bacterial co-infection1015368796941.71.2–2.30.003
Abbreviations—aOR: adjusted odds ratio; CI: confidence interval; ARI: acute respiratory infection; NP/OP: nasopharyngeal/oropharyngeal; RV: rhinovirus; RSV: respiratory syncytial virus; HMPV: human metapneumovirus; AdV: adenovirus; PIV: parainfluenza type 1–4; HBoV: human bocavirus; HCoV: human coronavirus (OC43, NL63, 229E and HKU1); and InFV: influenza virus (A, B and C). a p-values and aOR for being RV+ compared to RV− from regression models adjusted for age in months, site of enrollment, premature birth, breast feeding, smoker in the household, ARI status, and co-infecting bacteria and viruses where applicable. b The mean age and standard deviation (SD) for RV+ was 13.2 months (12.9), and RV− was 16.1 months (14.7), p < 0.001. c. Premature birth defined as gestational age <37 weeks. d Underweight defined as weight for age <−2SD of the median age-sex specific WHO reference. e Controls were considered to have ARI if they had (1) cough or runny nose or (2) one of the following signs: ear discharge, wheeze, or difficulty breathing, in the presence of sore throat or fever (temperature ≥38.0 °C or reported fever in the past 48 h). f Fever defined as temperature ≥38 °C or reported fever in the past 48 h. g Tachypnea defined as respiratory rate ≥60 breaths/minute if aged <2 months, respiratory rate ≥50 breaths/minute if aged 2–12 months, respiration rate ≥40 breaths/minute if aged >12 months.
Table 2. Demographic and Clinical Characteristics of Community Controls with rhinovirus as the Only Detected Virus (Mono-RV; N = 656) and Those with rhinovirus Plus at Least One Other Respiratory Virus Detected (Mixed-RV; N = 400), All PERCH Sites.
Table 2. Demographic and Clinical Characteristics of Community Controls with rhinovirus as the Only Detected Virus (Mono-RV; N = 656) and Those with rhinovirus Plus at Least One Other Respiratory Virus Detected (Mixed-RV; N = 400), All PERCH Sites.
NumberPercentage
Mono-Rv InfectionsMixed-Rv Infections aMono-Rv InfectionsMixed-Rv Infections aaOR b 95%CI bp-Value b
Demographic and health:
12–59 months of age c22818135451.61.3–1.9<0.001
Smoker in household24314937381.20.9–1.50.31
Male33520651511.010.8–1.30.92
Never breast fed5225861.010.6–1.80.97
Underweight d755211130.980.7–1.50.91
Premature birthe923814100.950.9–1.10.44
Day care attendance867713190.90.7–1.20.35
Clinical Features:
ARI f17612427310.960.7–1.30.77
Rhinorrhea13273320171.080.9–1.20.22
Fever g3224561.060.6–1.90.85
Cough685210130.930.8–1.10.38
Tachypnea h624110100.90.6–1.40.68
Diarrhea103210.80.5–1.10.20
Bacterial infections in the NP/OP:
H. influenzae type b138221.40.7–2.50.32
S. pneumoniae53630482761.41.2–1.80.001
C. pneumoniae105211.30.6–2.50.50
M. catarrhalis50229677741.20.95–1.40.12
H. influenzae33620652511.00.9–1.30.65
S. aureus925414140.980.8–1.30.89
B. pertussis11000.50.1–4.30.57
M. pneumoniae57120.50.2–1.30.16
Any bacterial co-infection62837096922.21.5–3.2<0.001
Abbreviations—aOR: adjusted odds ratio; CI: confidence interval; RV: rhinovirus; ARI—acute respiratory infection. a Any viral respiratory coinfection with rhinovirus and respiratory syncytial virus (A or B), human metapneumovirus, adenovirus, influenza virus (A, B or C), parainfluenza virus type 1–4, human coronavirus (OC43, NL63, 229E or HKU1). b p-values and aOR for having a mono-RV infection compared with a mixed-RV infection from regression models adjusted for age in months, site of enrollment, and co-infecting bacteria where applicable. c The mean age and standard deviation (SD) for mono-RV infections was 12.4 months (SD: 12.8 months), and mixed-RV infection was 14.5 months (SD:13.0 months; p = 0.04). d Underweight defined as weight for age <−2SD of the median age-sex specific WHO reference. e Premature birth defined as gestational age <37 weeks. f Controls were considered to have acute respiratory tract illness (ARI) if they had (1) cough or runny nose or (2) one of the following signs: ear discharge, wheeze, or difficulty breathing, in the presence of sore throat or fever (temperature ≥38.0 °C or reported fever in the past 48 h). g Fever defined as temperature ≥38 °C. h Tachypnea defined as respiratory rate ≥60 breaths/minute if aged <2 months, respiratory rate ≥50 breaths/minute if aged 2–12 months, respiration rate ≥40 breaths/minute if aged >12 months.
Table 3. Demographic and Clinical Characteristics and Co-Infections among Pneumonia Cases with (N = 912) and without (N = 2958) rhinovirus Infection, All PERCH Sites.
Table 3. Demographic and Clinical Characteristics and Co-Infections among Pneumonia Cases with (N = 912) and without (N = 2958) rhinovirus Infection, All PERCH Sites.
NumberPercentage
RV+RV−RV+RV−aOR a95% CI ap-Value a
Demographic and health:
12–59 months of age b393102543350.70.6–0.9<0.001
Smoker in household340969 37331.1 0.96–1.40.12
Male539170159581.1 0.9–1.20.49
Day Care attendance126517 14170.96 0.7–1.30.77
Underweight c277916 30310.9 0.8–1.10.41
Premature birth d87328 10110.9 0.7–1.10.31
Never breast fed83330 9110.9 0.7–1.10.29
Clinical features:
Wheezing421897 46311.8 1.4–2.2<0.001
Tachypnea e785237986811.5 1.1–1.90.01
Very severe pneumonia291955 32321.1 0.96–1.40.13
Deaths f47 185 561.0 0.7–1.40.98
Diarrhea118451 13151.0 0.8–1.30.99
Tachycardia g439151248510.98 0.8–1.20.83
Hypoxic h297108633370.98 0.8–1.20.85
Chest X-ray abnormal i36513540460.8 0.7–1.00.05
Hospital stay > 3 days453172950580.8 0.7–0.970.02
Convulsions43 201 570.7 0.5–1.040.08
Any symptom909294099991.90.5–6.30.99
Bacterial infection markers:
Leukocytosis j443113351411.3 1.1–1.50.01
Blood culture positive k29 107340.99 0.6–1.50.96
Fever l707244178830.96 0.8–1.20.78
CRP > 40 mg/mL m176715 19240.9 0.7–1.10.17
Alveolar consolidation156657 18240.8 0.7–1.10.13
MCPP n8 35 110.8 0.4–1.80.66
Any bacterial marker827270191910.90.7–1.20.56
Respiratory viral infections in the NP/OP:
AdV10828212101.3 0.98–1.60.07
HCoV56 232680.8 0.6–1.10.14
HMPV49 2935100.5 0.4–0.7<0.001
PIV76 4358150.4 0.3–0.5<0.001
HBoV13836415120.3 0.2–0.5<0.001
RSV12183213280.3 0.2−0.4<0.001
InFV A-C5 173160.1 0.02–0.2<0.001
Any viral co-infection431 219247740.30.25–0.34<0.001
Bacterial infections in the NP/OP:
H. influenzae type b2357321.4 0.8–2.30.19
B. pertussis8 23111.3 0.6–3.00.48
C. pneumoniae9 26111.2 0.5–2.50.73
M. catarrhalis616194468661.1 0.96–1.30.15
H. influenzae510156756531.1 0.9–1.30.23
S. pneumoniae661211772721.040.9–1.20.66
S. aureus12949414170.86 0.7–1.10.18
M. pneumoniae12 45 120.8 0.4–1.60.60
Any bacterial co-infection845271493920.50.8–1.50.53
Abbreviations—aOR: adjusted odds ratio; CI: confidence interval; NP/OP: nasopharyngeal/oropharyngeal; RV: rhinovirus; CRP: C-reactive protein; MCPP: microbiologically confirmed pneumococcal pneumonia; RSV: respiratory syncytial virus; HMPV: human metapneumovirus; AdV: adenovirus; PIV: parainfluenza type 1–4; HBoV: human bocavirus; HCoV: human coronavirus (OC43, NL63, 229E, and HKU1); and InFV: influenza virus (A, B and C). S. aureus: Staphylococcus aureus; S. pneu: Streptococcus pneumoniae; H. influenzae: Haemophilus influenzae, H. influenzae type; M. catarrhalis: Moraxella catarrahalis; B. pertussis: Bordetella pertussis; M. pneumoniae: Mycoplasma pneumoniae; C. pneumoniae: Chlamydia pneumoniae. a p-values and aOR for being RV+ compared with RV− from regression models adjusted for age in month, site of enrollment, smoker in the household, severity of pneumonia diagnosis, and co-infecting bacteria and viruses where applicable. b The mean age and standard deviation (SD) for RV+ cases was 13.1 months (SD:12.3 months) and RV− cases (11.2 months (SD: 11.3; p = 0.50). c Underweight defined as weight for age <−2SD of the median age-sex specific WHO reference. d Premature birth defined as gestational age <37 weeks. e Tachypnea defined as respiratory rate ≥60 breaths/minute if aged <2 months, respiratory rate ≥50 breaths/minute if aged 2–12 months, respiration rate ≥40 breaths/minute if aged >12 month. f Died while in hospital. g Tachycardia defined as heart rate >160 beats per minute (bpm) if aged <11 months, heart rate >150 bpm if aged 12–35 months, heart rate >140 bpm if aged 36–59 months. h A child was considered to be hypoxic if (1) a room air pulse-oximetry reading indicated oxygen saturation <90% at the two sites at elevation (Zambia and South Africa) or <92% at all other sites or (2) a room air oxygen saturation was not available, and the child was placed on supplemental oxygen. i Abnormal chest X-ray defined as radiographically confirmed end point pneumonia consolidation or any infiltrates. j Leukocytosis defined as white blood cell count >15,000 cells/µL if age <12 months or >13,000 cells/µL if age >12 months. k Blood culture positive for any non-contaminate bacteria. l Fever defined as temperature ≥38 °C. m CRP defined as levels ≥40 mg/mL are considered to potentially indicate bacterial infection. n MCPP defined as S. pneumoniae was cultured from a normally sterile body fluid (blood, pleural fluid, or lung aspirate), or pleural fluid or lung aspirate was PCR LytA positive.
Table 4. Demographics and Clinical Characteristics of Severe and Very-Severe Pneumonia Hospitalized Cases With rhinovirus As the Only Detected Virus (Mono-RV; N = 481) and Those With rhinovirus Plus at Least One Other Respiratory Virus Detected (Mixed-RV; N = 431).
Table 4. Demographics and Clinical Characteristics of Severe and Very-Severe Pneumonia Hospitalized Cases With rhinovirus As the Only Detected Virus (Mono-RV; N = 481) and Those With rhinovirus Plus at Least One Other Respiratory Virus Detected (Mixed-RV; N = 431).
NumberPercentage
Mono-RV InfectionsMixed-RV Infections aMono-RV InfectionsMixed-RV Infections aaOR95%CI bp-Value
Demographic and health:
12–59 months of age c23116248380.60.5–0.8<0.001
Never breast fed49341081.30.8–2.20.28
Premature birth d57301271.30.8–1.950.28
Underweight e15612132281.10.9–1.50.38
Male28525459591.10.8–1.40.59
Day Care attendance606612151.10.6–1.80.79
Smoker in household16317734410.950.7–1.30.76
Clinical features:
Deaths f3314732.61.2–5.50.01
Convulsions3013631.980.98–4.00.06
Diarrhea675114121.20.8–1.90.31
Tachycardia g19924046501.10.8–1.40.57
Very severe pneumonia16312834301.10.8–1.50.71
Wheezing21420745480.990.7–1.40.95
Chest X-ray abnormal h18817739410.90.7–1.20.46
Hospital stay >3 days23322048510.90.7–1.20.45
Hypoxic i156 14133330.80.6–1.10.22
Tachypnea j380 40589840.80.5–1.10.18
Any symptom4804291001002.20.2–24.80.51
Bacterial co-infection markers:
MCPP k62104.30.8–22.40.08
Blood culture positive l1811431.90.9–4.30.12
CRP ≥40 mg/mL m1086822161.61.0–2.40.04
Leukocytosis n25618755471.30.9–1.70.13
Fever o36933877781.020.7–1.40.91
Alveolar consolidation787817190.90.6–1.30.53
Any marker of bacterial infection43539290910.80.6–1.50.79
Bacterial infections in the NP/OP:
B. pertussis62103.00.6–15.20.18
S. aureus765316121.40.98–2.10.06
C. pneumoniae54110.990.3–3.80.99
M. catarrhalis31330365700.70.5–0.980.04
H. influenzae24426651610.60.5–0.80.001
S. pneumoniae33832370750.60.6–1.010.07
H. influenzae type b914230.50.2–1.30.16
M. pneumoniae48120.40.1–1.50.18
Any bacterial co-infection44040591940.70.4–1.20.13
Abbreviations—aOR: adjusted odds ratio; CI: confidence interval; SD: standard deviation; RV: rhinovirus; CRP: C-reactive protein; MCPP: microbiologically confirmed pneumococcal pneumonia. a Any viral respiratory coinfection with rhinovirus and respiratory syncytial virus (A or B), human metapneumovirus, adenovirus, influenza virus (A, B or C), parainfluenza virus type 1–4, human coronavirus (OC43, NL63, 229E or HKU1). b p-values and aOR for having a mono-RV infection compared with a mixed-RV infection from regression models adjusted for age in month, site of enrollment, and co-infecting bacteria where applicable. c The mean age and standard deviation (SD) for mono-RV infections was 14.2 months (SD: 12.6 months), and mixed-RV infection was 11.9 months (SD:11.3 months; p = 0.005). d Premature birth defined as gestational age <37 weeks. e Underweight defined as weight for age <−2SD of the median age-sex specific WHO reference. f Died while in hospital. g Tachycardia defined as heart rate >160 beats per minute (bpm) if aged <11 months, heart rate >150 bpm if aged 12–35 months, heart rate >140 bpm if aged 36–59 months. h Abnormal chest X-ray defined as radiographically confirmed end point pneumonia consolidation or any infiltrates. i A child was considered to be hypoxic if (1) a room air pulse-oximetry reading indicated oxygen saturation <90% at the two sites at elevation (Zambia and South Africa) or <92% at all other sites or (2) a room air oxygen saturation was not available, and the child was placed on supplemental oxygen. j Tachypnea defined as respiratory rate ≥60 breaths/minute if aged <2 months, respiratory rate ≥50 breaths/minute if aged 2–12 months, respiration rate ≥40 breaths/minute if aged >12 month. k MCPP defined as S. pneumoniae was cultured from a normally sterile body fluid—blood, pleural fluid, or lung aspirate—or pleural fluid or lung aspirate was PCR LytA positive. l Blood culture positive for any non-contaminate bacteria. m CRP defined as levels ≥40 mg/mL are considered to potentially indicate bacterial infection. n Leukocytosis defined as white blood cell count >15,000 cells/µL if age <12 months or >13,000 cells/µL if age >12 months. o Fever defined as temperature ≥38 °C.
Table 5. Demographic, Clinical, and Laboratory Findings of 12- to 59-month-old rhinovirus-Positive Pneumonia Cases (N = 393) and Controls (N = 409), All PERCH Sites.
Table 5. Demographic, Clinical, and Laboratory Findings of 12- to 59-month-old rhinovirus-Positive Pneumonia Cases (N = 393) and Controls (N = 409), All PERCH Sites.
NumberPercentage
RV+ cases RV+ controls RV+ cases RV+ controls aOR a95%CI ap-Value a
Demographic and health:
Underweight b1406636162.82.0–4.0<0.001
Male17519845480.90.7–1.20.338
Never breast fed32308 71.50.8–2.70.213
Smoker in household16116241401.10.8–1.40.673
Day Care attendance548514210.70.4–1.20.216
Premature birth c32488120.80.5–1.30.428
RV epidemiology:
RV Co-infections d16218141440.90.7–1.20.526
RV Mono-infection e23122859561.10.8–1.50.526
Respiratory viral co-infections in the NP/OP:
RSV176413.21.2–8.20.018
PIV2433680.70.4–1.30.245
HBoV706818171.10.8–1.70.507
HMPV14726460.70.3–1.30.243
AdV598115200.70.5–1.10.105
InFV A-C21 102.10.2–230.549
HCoV2034580.60.3–1.00.069
Bacterial infections in the NP/OP:
B. pertussis2010--0.149
H. influenzae type b1012330.80.4–2.00.701
S. aureus41341081.40.8–2.20.193
H. influenzae22224656600.80.6–1.10.150
M. pneumoniae712230.60.2–1.50.288
C. pneumoniae77221.10.4–3.20.874
S. pneumoniae28533973830.50.4–0.7<0.001
M. catarrhalis26133066810.40.3–0.6<0.001
Any bacterial co-infection36639793970.40.2–0.80.010
Abbreviations—aOR: adjusted odds ratio; CI: confidence interval; SD: standard deviation; NP/OP nasopharyngeal/oropharyngeal; RV: rhinovirus; RSV: respiratory syncytial virus; HMPV: human metapneumovirus; AdV: adenovirus; PIV: parainfluenza type 1–4; HBoV: human bocavirus; HCoV: human coronavirus (OC43, NL63, 229E, and HKU1); and InFV: influenza virus (A, B and C). a p-values and aOR for being a RV+ case compared with a RV+ control from regression models adjusted for age in month, site of enrollment, prematurity, sex, breastfeeding practices, co-infecting viruses, and bacteria where applicable. b Underweight defined as weight for age <−2SD of the median age-sex specific WHO reference. c Premature birth defined as gestational age <37 weeks. d Any viral respiratory coinfection with RSV (A and B), HMPV, AdV, InFV (A, B and C), PIV type 1–4, HCoV (OC43, NL63, 229E, and HKU1). e RV was the only respiratory virus detected in the nasopharyngeal/oropharyngeal sample.
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Baillie, V.L.; Moore, D.P.; Mathunjwa, A.; Baggett, H.C.; Brooks, A.; Feikin, D.R.; Hammitt, L.L.; Howie, S.R.C.; Knoll, M.D.; Kotloff, K.L.; et al. Epidemiology of the Rhinovirus (RV) in African and Southeast Asian Children: A Case-Control Pneumonia Etiology Study. Viruses 2021, 13, 1249. https://doi.org/10.3390/v13071249

AMA Style

Baillie VL, Moore DP, Mathunjwa A, Baggett HC, Brooks A, Feikin DR, Hammitt LL, Howie SRC, Knoll MD, Kotloff KL, et al. Epidemiology of the Rhinovirus (RV) in African and Southeast Asian Children: A Case-Control Pneumonia Etiology Study. Viruses. 2021; 13(7):1249. https://doi.org/10.3390/v13071249

Chicago/Turabian Style

Baillie, Vicky L., David P. Moore, Azwifarwi Mathunjwa, Henry C. Baggett, Abdullah Brooks, Daniel R. Feikin, Laura L. Hammitt, Stephen R. C. Howie, Maria Deloria Knoll, Karen L. Kotloff, and et al. 2021. "Epidemiology of the Rhinovirus (RV) in African and Southeast Asian Children: A Case-Control Pneumonia Etiology Study" Viruses 13, no. 7: 1249. https://doi.org/10.3390/v13071249

APA Style

Baillie, V. L., Moore, D. P., Mathunjwa, A., Baggett, H. C., Brooks, A., Feikin, D. R., Hammitt, L. L., Howie, S. R. C., Knoll, M. D., Kotloff, K. L., Levine, O. S., O’Brien, K. L., Scott, A. G., Thea, D. M., Antonio, M., Awori, J. O., Driscoll, A. J., Fancourt, N. S. S., Higdon, M. M., ... Madhi, S. A. (2021). Epidemiology of the Rhinovirus (RV) in African and Southeast Asian Children: A Case-Control Pneumonia Etiology Study. Viruses, 13(7), 1249. https://doi.org/10.3390/v13071249

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