Molecular Diagnosis of Pneumonia Using Multiplex Real-Time PCR Assay RespiFinder® SMART 22 FAST in a Group of Moroccan Infants

Hattoufi, Kenza; Tligui, Houssain; Obtel, Majdouline; El Ftouh, Sobha; Kharbach, Aicha; Barkat, Amina

doi:https://doi.org/10.1155/2020/6212643

Advances in Virology

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Abstract Introduction Materials and Methods Results Discussion Conclusion Data Availability Conflicts of Interest References Copyright Related Articles

Research Article | Open Access

Volume 2020 | Article ID 6212643 | https://doi.org/10.1155/2020/6212643

Molecular Diagnosis of Pneumonia Using Multiplex Real-Time PCR Assay RespiFinder® SMART 22 FAST in a Group of Moroccan Infants

Kenza Hattoufi,^1,2Houssain Tligui,³Majdouline Obtel,⁴Sobha El Ftouh,³Aicha Kharbach,^2,5and Amina Barkat^1,2

Academic Editor: Jay C. Brown

Received03 Aug 2019

Accepted25 Jan 2020

Published18 Feb 2020

Abstract

Background. In Morocco, pediatric pneumonia remains a serious public health problem, as it constitutes the first cause of mortality due to infectious diseases. The etiological diagnosis of acute respiratory tract infections is difficult. Therefore, it is necessary to use Multiplex real-time polymerase chain reaction assay tests in a routine setting for exact and fast identification. Objectives. In this paper, we present the clinical results of pediatric pneumonia and describe their etiology by using molecular diagnosis. Study design: Tracheal secretion was collected from infants presenting respiratory distress isolated or associated with systemic signs, attending the unit of Neonatology between December 1, 2016, and Mai 31, 2018. Samples were tested with the multiplex RespiFinder® SMART 22 FAST which potentially detects 18 viruses and 4 bacteria. Results. Of the 86 infants considered in this study (mean age 31 ± 19 days) suspected of acute respiratory tract infections, 71 (83%) were positive for one or multiple viruses or/and bacteria. The majority of acute respiratory tract infections had a viral origin (95%): respiratory syncytial viruses (A and B) (49%), rhinovirus (21%), coronaviruses 229E (11%), humain metapneumovirus (5%), influenza A (3%), influenza H1N1 (1%), adenovirus (2%), and parainfluenza virus type 4 (2%). Among our patients, 6% had Mycoplasma pneumoniae. Coinfections were not associated with severe respiratory symptoms. Conclusion. The clinical spectrum of respiratory infections is complex and often nonspecific. Thus, the early and fast detection of related causative agents is crucial. The use of multiplex real time polymerase chain reaction may help choose an accurate treatment, reduce the overall use of unnecessary antibiotics, preserve intestinal flora, and decrease nosocomial infection by reducing the length of hospitalization.

1. Introduction

According to the World Health Organization (WHO), pneumonia is defined as acute respiratory tract infections (RTIs) which affect the lungs tissue (bronchi, bronchioles, and alveolar tissue) [1]. In Morocco, pediatric pneumonia remains a serious public health problem and constitutes the first cause of mortality due to infectious diseases [2]. Pneumonia is a major cause of childhood morbidity and mortality worldwide. The WHO estimates that the 1.4 million children who die annually are under 5 years of age, where the greatest risk of death is in the neonatal period [3].

The epidemiology and etiology of pneumonia vary from country to country and from region to region. In developing countries, the incidence of pneumonia among children under 5 years of age is 0.29 episodes per child/year, compared to 0.05 episodes per child/year in developed countries [4, 5].

Pneumonia is caused by a variety of microorganisms (viruses, bacteria, or fungi). Viruses are the most common causative agents for children under 5 years of age, especially respiratory syncytial virus (RSV), rhinovirus (RV), influenza (IV), parainfluenza viruses (PIV), and adenovirus (ADV) [6, 7]. At least 26 viruses have now been associated with pneumonia. Their distribution varies by season, geographic region, and age group (4). Considering the frequency of viral infection, antibacterial therapy is often employed inadequately and unnecessarily [8].

The etiological diagnosis of pneumonia is difficult, due to the similarity in clinical presentation and also due to the overlap of the symptoms between viruses and bacteria, or between different viruses [9]. For this reason, the use of Multiplex real-time polymerase chain reaction (PCR) assays tests in a routine setting for exact and fast identification appears to be necessary. They detect a wide range of viral and bacterial pathogens simultaneously in a single reaction, with higher sensitivity and specificity in hours [10].

The aim of this study is to present the clinical results of pediatric pneumonia and describing their epidemiology and etiology among infants who live in Morocco and admitted to a neonatology unit.

2. Materials and Methods

2.1. Design and Population of the Study

This prospective study was conducted from December 1, 2016, to May 31, 2018, at the National Reference Center for Neonatology and Nutrition and Medical Research Laboratory at Children’s Hospital of Rabat. We included in this study 86 infants admitted with respiratory distress isolated or associated with systemic signs.

2.2. Inclusion Criteria

Infants, regardless of their gestational age or geographical origin, whose actual age was less than 4 months, hospitalized for suspicion of pneumonia.

Inclusion criteria were based on diagnosis by clinical symptoms (respiratory symptoms). The infants were recruited if they presented with symptoms associated with the WHO’s definition of clinical pneumonia. They are defined as having a history of cough, raised respiratory rate, or chest wall indrawing [2, 11].

2.3. Exclusion Criteria

All newborns aged between 0 and 9 days and infants with transient respiratory distress or respiratory distress of cardiac, neurological, or malformative origin, were excluded from this study.

2.4. Data Collection

All data were entered into sheet containing epidemiological, clinical, paraclinical data, and clinical evaluation of patient, as well as information regarding the patient’s family members.

The studied data are as follows:(i)Epidemiological data: age, sex, and socioeconomic status(ii)Environment of the patient, home conditions, and health history(iii)Clinical data: symptoms and evolution(iv)Paraclinical data: biological analysis (complete blood count, C-reactive protein (CRP), RT-PCR), chest X-rays (interpreted by pediatricians)

2.5. Collected Samples

The tracheal secretion (TS) samples were collected in the first 12 hours of hospitalization and transferred from the neonatology department to the medical research laboratory at Children’s Hospital in Rabat.

The collection of TS was performed according to the standard procedure, that is, by using a tracheal aspiration probe. This was introduced until resistance was encountered and retracted by approximately 2 cm. This was followed by the release of the vacuum, and the probe was delicately removed using turning movements, from which the secretion was aspirated into a sterile collector tube.

2.6. Laboratory Methods

The samples were analyzed according to the manufacturer’s instructions by using the RespiFinder® SMART 22 FAST. This assay can detect and differentiate simultaneously 22 respiratory pathogens: 18 viruses (influenza viruses A and B, influenza virus A H1N1, respiratory syncytial viruses (RSV) A and B, parainfluenza viruses 1, 2, 3 and 4, rhinovirus (RV)/enterovirus, coronaviruses (Cor) (229E, NL63, OC43, and HKU1), human metapneumovirus (hMPV)), adenovirus (ADV), bocavirus (BoV), and 4 bacteria (Legionella pneumophila, Bordetella pertussis, Mycoplasma pneumoniae, and Chlamydophila pneumoniae) [12].

175 μl of TS samples were eluted in 40 μl of elution buffer. The assays comprised a preamplification step, which combines reverse transcriptase and multiplex target amplification PCR, followed by a probe hybridization step, a probe ligation step, and a probe amplification step. The Internal Amplification Control (IAC) was added at the beginning of the procedure to differentiate between samples with true-negative results and samples with false- negative results due to PCR failure. Targets are detected using capillary electrophoresis [13].

2.7. Statistical Analysis

Statistical analysis was performed with the Package for the Social Sciences (SPSS.18) and analyzed by using the software RChi2 of Pearson. A value <0.05 was considered statistically significant.

2.8. Ethical Consideration

The parents of all participants have given informed written consent. The protocol of the study was approved by the ethics committee of the biomedical research of the Faculty of Medicine and Pharmacy in Rabat, Morocco.

3. Results

The subjects of this study were a total of the 86 infants. They presented with respiratory symptoms and suspicion of pneumonia. Among them, 46 (53%) were male and 40 (47%) were female, and the sex ratio was 1.15. The mean age was 31 ± 19 days. 54% of the patients were of middle socioeconomic status, 45% had low socioeconomic status, while only one of them was of a high socioeconomic status. According to the parents, 4 (5%) families had a pet at home, 44 (51%) had dampness at home, and 11 (13%) had lived with smokers (Table 1).

All patients included in this study were conscious and had at least one respiratory symptom with a high frequency of dyspnea, representing 95% of the cases. Cough, rhinorrhea, and fever were frequent with 67%, 62%, and 38%, respectively (Table 2). 84% of our patients performed chest X-ray , where 62% were abnormal. 91% of the cases with abnormal chest X-rays results showed a confirmed infection () using the RT-PCR technique (Table 3). Mean duration of hospitalization was 6 ± 5 days; the length of stay of the dead infants was not included, and it was 10 ± 4 days. During this period, 3% of deaths and 10% of complications by nosocomial infection were detected.

The results of multiplex RT-PCR showed the presence of 7 types of viruses and one species of bacteria. At least, one pathogen was detected in 71/86 of the samples (83%). The most prevalent virus was RSV, detected in 46/86 of the samples (51%), where type A and B represented 59% and 41%, respectively. In the total of the samples, IV A represented 4% whose one patients had a subtype of IV H1N1, RV was detected in 20/86 (23%) of samples, ADV was detected in 2/86 (2%) of samples, Cor229E in 10/86 (12%) of samples, hMPV was detected in 5/86 (6%) samples, and PIV4 was detected in 2/86 (2%) of samples. 6% of the patients had Mycoplasma pneumoniae. Coinfection was seen in 22 specimens representing 26% of all samples (22/86) and 31% of positive samples (22/71). In the case of co-infection with two viruses, 19 samples were positive. Coinfection virus/bacteria were detected in 4 cases. The most frequently detected coinfection combinations were RSV/rhino (n = 7) and RSV/Cor229E (n = 6) (Table 4).

According to our study, the seasonality distribution of viruses varies, the graphic shows that viral infections are essentially present in the coldest season (autumn and winter), when the seasonality of some respiratory viruses is not well established. RSV A and B were the most prevalent viruses; they appeared frequently in September and December. The cases with IV A were detected in January, February, and July; influenza H1N1 was detected in February. Cor229E was most predominant in May. RV was detected during the study without any pick. The other viruses hMPV, ADV, and PIV4 were less frequent (Figure 1).

We compared the epidemiological, clinical, and radiological characteristics between the positive (83%) and negative samples (17%). The proportion of positives in males was 62% (44/71, ). The rate of prematurity presented 64.3% in the positives cases (). For the rest of the general characteristics (including age, socioeconomic status, and environment of the patient), the comparison between the two groups does not show any significance (Table 1). Most clinical signs and symptoms were present in both groups, with a higher frequency in the positive group. The difference was not statistically significant. Nasal flaring was present only in positive cases with a (Table 2).

4. Discussion

The human respiratory tract is exposed to viral and bacterial infections. Pneumonia is the major clinical presentation of lower acute respiratory tract infection, which is considered as the major cause of hospitalization among children worldwide. The mortality and morbidity rate is higher especially during the first years of life [14–16].

Several laboratory techniques are used to detect agents responsible for RTIs, including immunofluorescence, enzyme immunoassays, isolation in culture, and molecular biology. The current molecular methods can detect a large panel of viruses, and bacteria also can make the etiological diagnosis more efficient, in contrast to traditional methods which are less sensitive and most of which are not suitable for rapid diagnosis [17–19]. At Children’s Hospital in Rabat CHR, RTIs are frequent, especially the acute lower RTIs; they represented a large proportion of all-cause consultations [2]. Therefore, their precise diagnosis is necessary [19]. Currently, a large variety of molecular assays was developed and commercialized [20]. Ruuskanen et al. reported that the evidence of viral infection is present in 49% of pediatric cases using molecular diagnostics [4, 21].

We studied for the first time, prospective data regarding etiology of acute respiratory tract infection in service of neonatology CHR. We evaluated the performance of RespiFinder® SMART 22 FAST in 86 Moroccan infants with clinically suspected pneumonia. A very high percentage of our samples were positive (83%). The majority of our patients had viral infections. Additionally, most viruses in the test panel were detected (RSV, RV, Cor 229E, hMPV, IVA, IV A H1N1, ADV, and PIV4). Dabisch-Ruthe et al. reported that there is a higher clinical sensitivity of the RespiFinder-19 in the detection of virus. They found Respiratory viruses in 64% of the Tracheal secretion (TS) samples [12]. This high positivity is similar to other studies in which molecular methods were performed [2, 22–24].

In this study, the most prevalent pathogen was RSV A/B. It was detected in 53% of samples. According to several studies, RSV (A and B) is known as the most common cause of pneumonia in infants and young children worldwide [25]. Hall CB et al. suggest that RSV has the greatest disease burden both in hospitalized children and in outpatients, especially in children under 5 years of age [26]. This higher proportion in infants is due to maternal antibodies that are ineffective in preventing RSV infections [24]. A systematic review realized by Shi et al. in 2015 estimated that 30 million episodes of acute lower respiratory infection caused by RSV were about a third in the first year of the life among children aged less than 4 years in low-income and middle-income countries. They also estimated 2.8 million episodes in high-income countries [27]. The second virus detected in the study was RV with 23%. The human RV is the most frequent causative agents of both upper and lower respiratory tract infections and the main causative agents of the common cold. It causes severe ARIs in infants and young children [28, 29]. ADV was detected in 2% of cases; it is one of the major causes of lower respiratory tract infection in children aged more than 2 years and in adults, but rarely in newborns and infants [30]. Influenza A accounted for 4% of virus-detection-positive samples. According to the results of a study published in Morocco by Ezzine et al. during both seasons (2016/2017-2017/2018), influenza infections in ARIs cases affects especially adults aged more than 65 years (20.7%) and children aged between 5 and 15 years (36%), while children aged less than two years had a low rate (4.4%) [31]. The IV is known for its seasonal outbreaks of ARI during a few weeks in winter [29]. According to a study realized in Brazil by Canela et al., among children aged between 0 and 18 years, the virus positivity is higher with frequency of IV H1N1 (38%) [32]. PIV subtype 4 was detected in 2% of our cases, and it has been reported to be a much less frequent cause of ARIs [33]. The group of coronavirus is heterogeneous (HCoV 229E, OC43, NL63, and HKU1) [34]. In our study, we detected only Cor229E. The clinical symptoms of coronavirus and other newly discovered viruses involved in RTIs (human bocavirus and hMPV) are similar to the other respiratory viruses and are recognized frequently at young age [13]. Our results are similar to those of other studies conducted among children and infants [35, 36]. Our etiological results coincide with those of a study realized at Toulouze University Hospital among children suffering from ARIs; there samples were analyzed using the RespiFinder 15 assay, the prevalence of virus was 88.7% and the RSV was the most frequently detected 39.5% [9]. Regarding bacteria, only 6% of our patients had Mycoplasma pneumoniae, while 81% of the cases have been treated with antibiotic. The low prevalence of bacteria may be explained by the use of antibiotics as an urgent act used in cases suspected with ARTs. Beckmann and Hirsch detected Mycoplasma pneumoniae in 2.1% among pediatric and adult patients [36].

According to several studies, the incidence of coinfections depends on different populations and test panels [37]. Bruijnesteijn van Coppenraet et al. reported that the molecular assays revealed a high frequency of double infections. Specifically, coronaviruses (75%), RSV (58%), and RV (46%) were frequently detected as mixed infection [8]. The current study shows coinfection in 31% of positive samples, with a high frequency in the combinations between RSV/rhino and RSV/Cor229E. Several studies had pointed out that clinical severity is associated with coinfection with more than one virus [8, 37, 38]. Another study reported that coinfection was not associated with an increase in the clinical severity [39]. Our results did not show a significant difference in clinical severity between coinfection and single infection. Also, clinical presentation of different causative agents was often similar. The association of viral detection with clinical characteristics shows a predominance of respiratory signs specially (dyspnea, polypnea, cyanosis, labored breathing, wheezing, and Rhonch). Our clinical symptoms and signs concurred with those of the study realized by Singh S et al. among infants aged less than 2 months [40].

5. Conclusion

The clinical spectrum of respiratory infections is complex and often nonspecific. Therefore early and rapid detection of related causative agents is crucial. Multiplex RT-PCR assays for respiratory infections are not used in routine diagnosis in Morocco. Their use in the near future may help pediatricians choose an appropriate treatment, reduce the overall use of unnecessary antibiotics, stop their use in patients infected with virus, initiate antiviral therapy and preserve intestinal flora, and help to decrease nosocomial infection by reducing the length of hospitalization, which would also decrease management costs. Multiplex RT-PCR assays for respiratory infections are likely to be the subject of future studies on larger samples and different age groups.

Data Availability

The data used to support the findings of this study are included within the article.

Conflicts of Interest

The authors declare they have no conflicts of interest regarding the publication of this article.

References

T. Lynch, L. Bialy, J. D. Kellner et al., “A systematic review on the diagnosis of pediatric bacterial pneumonia: when gold is bronze,” PLoS One, vol. 5, no. 8, Article ID e11989, 2010.
View at: Publisher Site | Google Scholar
I. Jroundi, C. Mahraoui, R. Benmessaoud et al., “The epidemiology and aetiology of infections in children admitted with clinical severe pneumonia to a university hospital in Rabat, Morocco,” Journal of Tropical Pediatrics, vol. 60, no. 4, pp. 270–278, 2014.
View at: Publisher Site | Google Scholar
L. Liu, H. L. Johnson, S. Cousens et al., “Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000,” The Lancet, vol. 379, no. 9832, pp. 2151–2161, 2012.
View at: Publisher Site | Google Scholar
O. Ruuskanen, E. Lahti, L. C. Jennings, and D. R. Murdoch, “Viral pneumonia,” The Lancet, vol. 377, no. 9773, pp. 1264–1275, 2011.
View at: Publisher Site | Google Scholar
I. Rudan, C. Boschi-Pinto, Z. Biloglav, K Mulholland, and H. Campbell, “Epidemiology and etiology of childhood pneumonia,” Bulletin of the World Health Organization, vol. 86, no. 5, pp. 408–416, 2008.
View at: Publisher Site | Google Scholar
S. Olofsson, R. Brittain-Long, L. M. Andersson, J. Westin, and M. Lindh, “PCR for detection of respiratory viruses: seasonal variations of virus infections,” Expert Review of Anti-infective Therapy, vol. 9, no. 8, pp. 615–626, 2011.
View at: Publisher Site | Google Scholar
C. Cabello, M. Manjarrez, R. Olvera, J. Villalba, L. Valle, and I. Paramo, “Frequency of viruses associated with acute respiratory infections in children younger than five years of age at a locality of Mexico City,” Memórias Do Instituto Oswaldo Cruz, vol. 101, no. 1, pp. 21–24, 2006.
View at: Publisher Site | Google Scholar
L. E. S. Bruijnesteijn van Coppenraet, C. M. A. Swanink, A. A. van Zwet et al., “Comparison of two commercial molecular assays for simultaneous detection of respiratory viruses in clinical samples using two automatic electrophoresis detection systems,” Journal of Virological Methods, vol. 169, no. 1, pp. 188–192, 2010.
View at: Publisher Site | Google Scholar
C. Mengelle, J. M. Mansuy, A. Pierre et al., “The use of a multiplex real-time PCR assay for diagnosing acute respiratory viral infections in children attending an emergency unit,” Journal of Clinical Virology, vol. 61, no. 3, pp. 411–417, 2014.
View at: Publisher Site | Google Scholar
S. Pillet, M. Lardeux, J. Dina et al., “Comparative evaluation of six commercialized multiplex PCR kits for the diagnosis of respiratory infections,” PLoS One, vol. 8, no. 8, pp. 172–174, 2013.
View at: Publisher Site | Google Scholar
E. K. Mulholland, E. A. F. Simoes, M. O. D. Costales, E. J. Mcgrath, E. M. Manalac, and S. Gove, “Standardized diagnosis of pneumonia in developing countries,” The Pediatric Infectious Disease Journal, vol. 11, no. 2, pp. 77–81, 1992.
View at: Publisher Site | Google Scholar
M. Dabisch-Ruthe, T. Vollmer, O. Adams, KnabbeC, and all, “Comparison of three multiplex PCR assays for the detection of respiratory viral infections: evaluation of xTAG respiratory virus panel fast assay, RespiFinder 19 assay and RespiFinder SMART 22 assay,” BMC Infectious Diseases, vol. 12, no. 1, p. 163, 2012.
View at: Publisher Site | Google Scholar
M. Reijans, G. Dingemans, C. H. Klaassen et al., “RespiFinder: a new multiparameter test to differentially identify fifteen respiratory viruses,” Journal of Clinical Microbiology, vol. 46, no. 4, pp. 1232–1240, 2008.
View at: Publisher Site | Google Scholar
R. B. Martins Júnior, S. Carney, D. Goldemberg et al., “Detection of respiratory viruses by real-time polymerase chain reaction in outpatients with acute respiratory infection,” Memórias Do Instituto Oswaldo Cruz, vol. 109, no. 6, pp. 716–721, 2014.
View at: Publisher Site | Google Scholar
World Health Organization/United Nations (WHO/UN) Children’s Fund, Global Action Plan for Prevention and Control of Pneumonia (GAPP), World Health Organization and the United Nations Children’s Fund, Geneva, Switzerland, 2009.
C. S. Khor, I. C. Sam, P. S. Hooi, K. F. Quek, and Y. F. Chan, “Epidemiology and seasonality of respiratory viral infections in hospitalized children in Kuala Lumpur, Malaysia: a retrospective study of 27 years,” BMC Pediatrics, vol. 12, no. 1, p. 32, 2012.
View at: Publisher Site | Google Scholar
World Health Organization, CDC Protocol of Real Time RT-PCR for Swine Infl Uenza A (H1N1), WHO, Atlanta, Georgia, 2009.
S. Goktas and M. Cem Sirin, “Prevalence and seasonal distribution of respiratory viruses during the 2014-2015 season in istanbul,” Jundishapur Journal of Microbiology, vol. 9, no. 9, Article ID e39132, 2016.
View at: Publisher Site | Google Scholar
J. B. Mahony, “Detection of respiratory viruses by molecular methods,” Clinical Microbiology Reviews, vol. 21, no. 4, pp. 716–747, 2008.
View at: Publisher Site | Google Scholar
M. Raymaeker, B. De Rijke, I. Pauli, A.-M. Van den Abeele, and R. Cartuyvels, “Timely diagnosis of respiratory tract infections: evaluation of the performance of the Respifinder assay compared to the xTAG Respiratory Viral Panel assay,” Journal of Clinical Virology, vol. 52, no. 4, pp. 314–316, 2011.
View at: Publisher Site | Google Scholar
E. Vallières and C. Renaud, “Clinical and economical impact of multiplex respiratory virus assays,” Diagnostic Microbiology and Infectious Disease, vol. 76, no. 3, pp. 255–261, 2013.
View at: Publisher Site | Google Scholar
A. Ruohola, M. Waris, T. Allander, T. Ziegler, T. Heikkinen, and O. Ruuskanen, “Viral etiology of common cold in children, Finland,” Emerging Infectious Diseases, vol. 15, no. 2, pp. 344–346, 2009.
View at: Publisher Site | Google Scholar
N. Bhat, R. Tokarz, K. Jain et al., “A Prospec-tive Study of Agents associated with acute respiratory infection among youngAmerican Indian children,” The Pediatric Infectious Disease Journal, vol. 32, pp. e324–333, 2013.
View at: Publisher Site | Google Scholar
A. A. Sonawane, J. Shastri, S. B. Bavdekar, and Bavdekar, “Respiratory pathogens in infants diagnosed with acute lower respiratory tract infection in a tertiary care hospital of western India using multiplex real time PCR,” The Indian Journal of Pediatrics, vol. 86, no. 5, pp. 433–438, 2019.
View at: Publisher Site | Google Scholar
H. Nair, D. J. Nokes, B. D. Gessner et al., “Global burden of acute lower respiratory infections due to respiratory syncytial virus in young children: a systematic review and meta-analysis,” The Lancet, vol. 375, no. 9725, pp. 1545–1555, 2010.
View at: Publisher Site | Google Scholar
C. B. Hall, G. A. Weinberg, M. K. Iwane et al., “The burden of respiratory syncytial virus infection in young children,” New England Journal of Medicine, vol. 360, no. 6, pp. 588–598, 2009.
View at: Publisher Site | Google Scholar
T. Shi, D. A. McAllister, K. L. O’Brien et al., “Global, regional, and national disease burden estimates of acute lower respiratory infections due to respiratory syncytial virus in young children in 2015: a systematic review and modelling study,” The Lancet, vol. 390, no. 10098, pp. 946–958, 2017.
View at: Publisher Site | Google Scholar
E. Kieninger, O. Fuchs, P. Latzin, U. Frey, and N. Regamey, “Rhinovirus infections in infancy and early childhood,” European Respiratory Journal, vol. 41, no. 2, pp. 443–452, 2013.
View at: Publisher Site | Google Scholar
J. O. Wishaupt, F. G. A. Versteegh, and N. G. Hartwig, “PCR testing for paediatric acute respiratory tract infections,” Paediatric Respiratory Reviews, vol. 16, no. 1, pp. 43–48, 2015.
View at: Publisher Site | Google Scholar
M. A. Pretorius, S. A. Madhi, C. Cohen et al., “Respiratory viral coinfections identified by a 10-plex real-time reverse-transcription polymerase chain reaction assay in patients hospitalized with severe acute respiratory illness–South Africa, 2009-2010,” The Journal of Infectious Diseases, vol. 206, no. suppl_1, pp. S159–S165, 2012.
View at: Publisher Site | Google Scholar
H. Ezzine, I. Cherkaoui, H. Oumzi et al., “Epidemiologie de la grippe et facteurs de risque d’infection Respiratoire Aigue sévère au Maroc saisons 2016/2017 et 2017/2018,” Bullettin d’Epidémiologie et de santé Publique, vol. 56, pp. 27–33, 2018.
View at: Google Scholar
L. N. P. Canela, M. C. D. Magalhães-Barbosa, C. E. Raymundo et al., “Viral detection profile in children with severe acute respiratory infection,” The Brazilian Journal of Infectious Diseases, vol. 22, no. 5, pp. 402–411, 2018.
View at: Publisher Site | Google Scholar
G. Billaud, F. Morfin, A. Vabret et al., “Human parainfluenza virus type 4 infections: a report of 20 cases from 1998 to 2002,” Journal of Clinical Virology, vol. 34, no. 1, pp. 48–51, 2005.
View at: Publisher Site | Google Scholar
P. C. Y. Woo, S. K. P. Lau, C.-M. Chu et al., “Characterization and complete genome sequence of a novel coronavirus, coronavirus HKU1, from patients with pneumonia,” Journal of Virology, vol. 79, no. 2, pp. 884–895, 2005.
View at: Publisher Site | Google Scholar
F. de-Paris, C. Beck, M. R. Pires, R. P. D. Santos, R. D. S. Kuchenbecker, and A. L. Barth, “Viral epidemiology of respiratory infections among children at a tertiary hospital in Southern Brazil,” Revista da Sociedade Brasileira de Medicina Tropical, vol. 47, no. 2, pp. 223–226, 2014.
View at: Publisher Site | Google Scholar
C. Beckmann and H. H. Hirsch, “Comparing luminex NxTAG-respiratory pathogen panel and RespiFinder-22 for multiplex detection of respiratory pathogens,” Journal of Medical Virology, vol. 88, no. 8, pp. 1319–1324, 2016.
View at: Publisher Site | Google Scholar
P. D. Sly and C. M. Jones, “Viral co-detection in infants hospitalized with respiratory disease: is it important to detect?” Journal de Pediatria, vol. 87, no. 4, pp. 277–280, 2011.
View at: Publisher Site | Google Scholar
G. Cilla, E. Oñate, E. G. Perez-Yarza, M. Montes, D. Vicente, and E. Perez-Trallero, “Viruses in community-acquired pneumonia in children aged less than 3 years old: high rate of viral coinfection,” Journal of Medical Virology, vol. 80, no. 10, pp. 1843–1849, 2008.
View at: Publisher Site | Google Scholar
M. De Paulis, A. E. Gilio, A. A. Ferraro et al., “Severity of viral coinfection in hospitalized infants with respiratory syncytial virus infection,” Jornal de Pediatria, vol. 87, no. 5, pp. 307–313, 2011.
View at: Publisher Site | Google Scholar
S. Singhi, A. Dhawan, S. Kataria, and B. N. Walia, “Clinical signs of pneumonia in infants under 2 months,” Archives of Disease in Childhood, vol. 70, no. 5, pp. 413–417, 1994.
View at: Publisher Site | Google Scholar

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Copyright © 2020 Kenza Hattoufi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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