Literature DB >> 23893065

Impact of rhinovirus nasopharyngeal viral load and viremia on severity of respiratory infections in children.

S Esposito1, C Daleno, A Scala, L Castellazzi, L Terranova, S Sferrazza Papa, M R Longo, C Pelucchi, N Principi.   

Abstract

There are few and partially discordant data regarding nasopharyngeal rhinovirus (RV) load and viremia, and none of the published studies evaluated the two variables together. The aim of this study was to provide new information concerning the clinical relevance of determining nasopharyngeal viral load and viremia when characterising RV infection. Nasopharyngeal swabs were obtained from 251 children upon their admission to hospital because of fever and signs and symptoms of acute respiratory infection in order to identify the virus and determine its nasopharyngeal load, and a venous blood sample was taken in order to evaluate viremia. Fifty children (19.9 %) had RV-positive nasopharyngeal swabs, six (12 %) of whom also had RV viremia: RV-C in four cases (66.6 %), and RV-A and RV-B in one case each. The RV nasopharyngeal load was significantly higher in the children with RV viremia (p < 0.001), who also had a higher respiratory rate (p = 0.02), white blood cell counts (p = 0.008) and C-reactive protein levels (p = 0.006), lower blood O2 saturation levels (P = 0.005), and more often required O2 therapy (p = 0.009). The presence of RV viremia is associated with a significantly higher nasopharyngeal viral load and more severe disease, which suggests that a high nasopharyngeal viral load is a prerequisite for viremia, and that viremia is associated with considerable clinical involvement.

Entities:  

Mesh:

Year:  2013        PMID: 23893065      PMCID: PMC7088146          DOI: 10.1007/s10096-013-1926-5

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


Introduction

Rhinoviruses (RVs), which are frequently found in the nasopharynx of patients with respiratory disease [1], were identified some years ago and, although they have been widely studied, many aspects of their role in causing respiratory infections remain unclear. They were initially considered to have little medical significance because they were only isolated in subjects with upper respiratory tract infections (RTIs), mainly common colds [1]. However, the more recent availability of modern molecular methods of viral screening [2] has led to them being identified in the nasopharyngeal secretions of subjects with bronchitis, bronchiolitis and pneumonia, and it has been demonstrated that they are frequently associated with asthma exacerbations [3-8]. The real etiological role of RVs is difficult to ascertain. As they are shed in respiratory secretions for several days after the clinical resolution of an acute episode of RTI, their presence in the nasopharynx of a subject with acute RTI may only be due to prolonged shedding after a previous infection and is not proof that they caused the new disease [9-12]. Knowing the importance of RVs is critical for deciding the need for new preventive and therapeutic strategies, particularly in the case of lower RTIs. It has recently been suggested that simultaneously determining nasopharyngeal RV load and identifying RV viremic cases could differentiate the respiratory infections in which RV is the real causative agent [12]. However, the published data are few and partially discordant, and no study has yet evaluated the two variables together [13-20]. Moreover, there are no published data concerning the possible relationships between RV nasopharyngeal viral load, viremia and the severity of RV-associated disease. The aim of this study was to provide new information concerning the clinical relevance of determining nasopharyngeal viral load and viremia when characterising RV infection.

Methods

Patient enrolment

The study was approved by the Institutional Review Board of the University of Milan, Milan, Italy, and was prospectively carried out at Pediatric Clinic 1 of the Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy, between 1 November 2011 and 31 March 2012. The written informed consent of a parent or legal guardian was required, and the older children were asked to give their assent. All of the children aged between 1 month and 14 years admitted to Pediatric Clinic 1 because of fever (i.e. an axillary temperature >38 °C) and signs and symptoms of acute RTI with an onset of less than 24 h before (i.e. rhinorrhea, cough, tachypnea, dyspnea or respiratory distress, and breathing with grunting or wheezing sounds with rales) were considered eligible for the study. The exclusion criteria were symptom onset more than 24 h before and chronic conditions increasing the risk of respiratory infections, including premature birth; chronic disorders of the pulmonary or cardiovascular systems; chronic metabolic diseases; neoplasia; kidney or liver dysfunction; hemoglobinopathies; immunosuppression; diseases requiring long-term aspirin therapy; and genetic or neurological disorders. The diagnoses of RTIs (upper RTI: common cold and pharyngitis; lower RTI: bronchitis, bronchiolitis, infectious wheezing and pneumonia) were based on well-defined clinical and laboratory criteria [21]. All of the children with lower RTI underwent chest radiography, and the radiograph was evaluated by an independent expert radiologist who confirmed pneumonia using the World Health Organisation (WHO) criteria for the standardised interpretation of pediatric chest radiographs for a diagnosis of pneumonia [22]. On the day of enrolment, a nasopharyngeal swab of respiratory secretions was taken using a pernasal flocked swab, and stored in a tube of UTM-RT (Kit Cat. No. 360c, Copan Italia, Brescia, Italy), and a blood sample was drawn using standard procedures. Nasopharyngeal swab was used because it is the simplest sampling method for the identification of respiratory viruses without any reduction in diagnostic performance in comparison to nasopharyngeal aspiration and nasal washes. Moreover, it has the advantages of improved standardization in different age groups and between operators, and better acceptability in a wider range of settings [23]. One swab per patient was collected. Plasma was obtained by centrifuging an aliquot of 10 mL of whole blood at 2,500 rpm for 15 min, some of which was used to determine RV viremia, and the rest for the other laboratory variables, including a white blood cell (WBC) count, the measurement of C-reactive protein (CRP) levels, and the preparation of blood cultures. The viral tests were performed for study purposes and were always available after discharge. Upon enrolment, detailed information was recorded concerning the patients’ demographics and history, and the clinical characteristics of the disease. The children with pneumonia received antibiotic therapy in accordance with the guidelines of the Expert Committee of the European Society for Paediatric Infectious Diseases [24]. All of the children with mild disease returned home and were followed up by means of a bi-weekly telephone call until clinical cure. The children with more severe disease were hospitalised and monitored daily until discharge.

Respiratory viral analyses of nasopharyngeal swabs

Viral RNA or DNA was extracted from the nasopharyngeal swabs by means of a Nuclisens EasyMAG automated extraction system (Biomeriéux, Craponne, France), and the extracts were tested using the RVP Fast assay (Luminex Molecular Diagnostics Inc., Toronto, Canada) in accordance with the manufacturer’s instructions. The RVP Fast assay simultaneously detects influenza A virus (subtyped H1 or H3), influenza B virus, RSV-A and -B, parainfluenza-1, -2, -3, and -4, adenovirus, human metapneumovirus, coronaviruses 229E, NL63, OC43, and HKU1, enterovirus/RV, and human bocavirus [25, 26]. The enterovirus/RV-positive nasopharyngeal samples were retested in order to identify the rhinovirus and determine viral load. The real-time RT-PCR assay was performed using the iAg-Path-ID one-step RT-PCR Kit (Applied Biosystems, Foster City, CA), the primers and probe sequences reported by Lu et al. [27], and previously described methods [6]. The hypervariable part of the 5′ NCR, the entire VP4 gene, and the 5′ terminus of the VP2 gene were amplified using an RT-PCR assay as previously described [28], with minor modifications. The eluted RNA was transcribed into cDNA using Moloney Murine Reverse Trascriptase (MMLV-RT, Invitrogen, Monza, Italy) and random hexamers for 1 h at 37 °C, and the MMLV-RT was subsequently denatured at 70 °C. The PCR was carried out in a final volume of 50 μL containing the virus-specific oligonucleotide primers (0.2 mM each), 2 U AmpliTaq Gold 360 DNA Polymerase (Applied Biosystems), 1x reaction buffer, 0.2 mM each of dNTP, 2 mM MgCl2 and 2 mL of c-DNA template. The 40 PCR cycles consisted of a denaturation step (45 s at 95 °C), an annealing step (45 s at 61 °C), and a DNA extension step (1 min at 72 °C). The presence of 549 bp PCR products was visualised after electrophoresis on an ethidium bromide-stained 2 % agarose gel. The PCR products were purified using the Wizard SV Gel and PCR Clean-Up System (Promega, Milan, Italy), and the purified products were sequenced in both directions using the same forward and reverse primers as those used in the PCR. The nucleotide sequences were obtained by means of automated DNA sequencing using an ABI PRISM 3730 genetic analyser (Applied Biosystems). In order to identify the RV species (A, B and C), the newly determined sequences were checked and aligned using the BioEdit program, and the resultant consensus sequences were compared with sequences from GenBank using the nucleotide-nucleotide BLAST algorithm (http://www.ncbi.nlm.nih.gov). The analysed fragment was 400 nt in the VP4/VP2 region. A plasmid containing the corresponding target viral sequence (kindly provided by Dr Baldanti, Molecular Virology Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy) was then used to quantify the positive samples. Ten-fold plasmid serial dilutions ranging from 5 to 5 × 107 input copies were prepared to generate calibration curves and then run in parallel with the tested samples. The cycle threshold (Ct) values of each dilution were measured in duplicate, and plotted against the logarithm of their initial quantities. The copy numbers present in each clinical sample were derived from the regression line. The quantitative results were expressed as log10 RNA copy numbers/mL nasopharyngeal swab following data multiplication by the appropriate dilution factor. In order to evaluate reproducibility, intra-assay and interassay standard deviations (SDs) and coefficients of variation (CVs) were calculated for each standard concentration within and between the individual PCR runs. Each run included template and non-template controls.

Determination of RV viremia

RV viremia was only analysed in the plasma samples of patients with RV-positive nasopharyngeal swabs. RNA was extracted using a Nuclisens EasyMAG automated extraction system in accordance with the manufacturer’s instructions, and the extracts were tested by means of quantitative real-time RT-PCR using the same primers and methods as those used to measure the viral load of the nasopharyngeal specimens. The nasopharyngeal and plasma samples were handled separately in order to prevent cross-contamination.

Statistical analysis

The continuous variables are given as mean values ± standard deviation (SD), and were analysed using a non-parametric Wilcoxon rank-sum test or the Kruskal-Wallis test as appropriate. The categorical variables are given as numbers and percentages, and were analysed by means of contingency tables and the chi-squared or Fisher’s exact test as appropriate. All of the tests were two-sided and a p value of <0.05 was considered statistically significant. The data were analysed using SAS version 9.1 statistical software (SAS Institute, Cary, NC, USA).

Results

Fifty (19.9 %) of the 251 children enrolled (157 males, 62.5 %; mean age ± SD, 2.9 ± 3.7 years) had RV-positive nasopharyngeal swabs. RV was the only virus identified in 31 cases (62.0 %), whereas it was detected with two other viruses in 18 cases (36.0 %) and with three other viruses in one (2.0 %). The RV was RV-A in 18 cases (36.0 %), RV-B in five (10.0 %), RV-C in 22 (44.0 %), and untypeable in five (10.0 %). Viremia was identified in six cases (12 %): RV-C in four (66.6 %), and RV-A and RV-B in one case each. Table 1 shows that nasopharyngeal RV load was independent of all of the studied variables, including the demographic data, disease diagnosis, respiratory rate, O2 saturation, the need for O2 therapy, hospitalisation, admission to an intensive care unit, and the laboratory findings. The blood cultures of all of the patients were negative. The only significant relationship seemed to be the presence of RV viremia: the plasma-positive children had a significantly higher nasopharyngeal RV load (7.90 ± 1.07 log10 cp/mL vs 5.15 ± 1.53 log10 cp/mL; p < 0.001).
Table 1

Nasopharyngeal rhinovirus (RV) load by demographic and clinical characteristics upon enrolment

Characteristics n Mean nasopharyngeal RV load (log10 cp/mL)Standard deviation P valuea
Age
  <1 year175.801.78
  ≥1 year335.321.700.23
Gender
 Male305.331.67
 Female205.701.820.61
Diagnosis
 Upper respiratory tract infection255.371.81
 Bronchiolitis/bronchitis95.631.21
 Pneumonia/bronchopneumonia165.301.890.76
Respiratory rate upon enrolmentb
 Normal165.011.76
 Higher than normal76.022.340.37
O2 saturation upon enrolment
  <93 %86.492.36
  ≥93 %405.301.560.13
O2 therapy
 No345.301.63
 Yes165.851.920.24
No. of days of O2 therapy
  <336.711.45
  ≥3135.662.010.35
Hospitalisation
 No205.601.77
 Yes305.401.720.62
No. of days of hospitalisation
  <7125.221.54
  ≥7185.751.830.44
Intensive care (upon enrolment or during hospitalisation)
 No465.471.78
 Yes45.590.920.71
White blood cells, cells/μL
  < 15,000265.411.73
  ≥ 15,000245.661.970.90
PCR, mg/dL
  <7275.361.760.85
  ≥7235,691.82
RV viremia
 Negative445.151.53
 Positive67.901.07<0.001
Type of RV
 A186.461.73
 B56.831.09
 C225.961.76
Not specified54.481.320.01
Overall505.481.72

SD standard deviation

aCalculated using Wilcoxon’s non-parametric rank-sum test or the Kruskal-Wallis test as appropriate

bHigher than normal was defined as >60 in children aged <1 year, >50 in children aged 1–3 years, and >40 in children aged >3 years

Nasopharyngeal rhinovirus (RV) load by demographic and clinical characteristics upon enrolment SD standard deviation aCalculated using Wilcoxon’s non-parametric rank-sum test or the Kruskal-Wallis test as appropriate bHigher than normal was defined as >60 in children aged <1 year, >50 in children aged 1–3 years, and >40 in children aged >3 years Table 2 summarises the characteristics of the patients with RV-positive nasopharyngeal swabs on the basis of their plasma RV results. In comparison with the patients without RV viremia, the children with RV viremia were significantly more frequently female (p = 0.03) and, at the time of enrolment, had a significantly higher respiratory frequency (p = 0.02), significantly lower O2 blood saturation levels (p = 0.005), required O2 therapy significantly more often (p = 0.009), and had significantly higher WBC counts (p = 0.008) and C reactive protein levels (p = 0.006). Moreover, nasopharyngeal viral load was significantly higher in the children with RV viremia (p = 0.02).
Table 2

Characteristics of patients with rhinovirus (RV)-positive nasopharyngeal swabs by the presence or absence of RV viremia

CharacteristicsAbsence of RV viremia, n (%)Presence of RV viremia, n (%) P valuea
Age
  <1 year15 (34.1)2 (33.3)
  ≥1 year29 (65.9)4 (66.7)1.00
Gender
 Male29 (65.9)1 (16.7)
 Female15 (34.1)5 (83.3)0.03
Diagnosis
 Upper respiratory tract infection23 (52.2)2 (33.3)
 Bronchiolitis/bronchitis9 (20.5)0 (0.0)
 Pneumonia/bronchopneumonia12 (27.3)4 (66.7)0.45
Respiratory rate upon enrolmentb
 Normal16 (80.0)0 (0.0)
 Higher than normal4 (20.0)3 (100.0)0.02
O2 saturation upon enrolment
  <93 %4 (9.5)4 (66.7)
  ≥93 %38 (90.5)2 (33.3)0.005
O2 therapy
 No33 (75.0)1 (16.7)
 Yes11 (25.0)5 (83.3)0.009
No. of days of O2 therapy
  <32 (16.7)1 (25.0)
  ≥310 (83.3)3 (75.0)1.00
Hospitalisation
 No18 (40.9)2 (33.3)
 Yes26 (59.1)4 (66.7)1.00
No. of days of hospitalisation
  <710 (41.7)2 (50.0)
  ≥714 (58.3)2 (50.0)1.00
Intensive care (upon enrolment or during hospitalisation)
 No43 (97.7)3 (50.0)
 Yes1 (2.3)3 (50.0)1.00
White blood cells, cells/μL
  < 15,00026 (59.1)0 (0.0)
  ≥ 15,00018 (40.9)6 (100.0)0.008
C reactive protein, mg/dL
  <727 (61.4)0 (0.0)
  ≥717 (38.6)6 (100.0)0.006
Nasopharyngeal RV load
  < median (i.e., 5.5 log10 cp/mL)25 (56.8)0 (0.0)
  ≥ median19 (43.2)6 (100.0)0.02
Range2.44–8.595.94–8.85
Type of RV
 A17 (38.6)1 (16.7)
 B4 (9.1)1 (16.7)
 C18 (40.9)4 (66.6)
Not specified5 (11.4)0 (0.0)0.09
Overall44 (88.0)6 (12.0)

aCalculated using the chi-squared or Fisher’s exact test

bHigher than normal was defined as >60 in children aged <1 year, >50 in children aged 1–3 years, and >40 in children aged >3 years

Characteristics of patients with rhinovirus (RV)-positive nasopharyngeal swabs by the presence or absence of RV viremia aCalculated using the chi-squared or Fisher’s exact test bHigher than normal was defined as >60 in children aged <1 year, >50 in children aged 1–3 years, and >40 in children aged >3 years Table 3 shows nasopharyngeal RV load in the children with and without viremia by type of RV. RV was the only infectious agent identified in the nasopharynx of RV viremic patients, who had higher mean nasopharyngeal loads of all of the RV types. However, given the limited number of viremic patients with RV-A or RV-B infection, the only significant difference in nasopharyngeal viral load was observed in the case of the children infected by RV-C (p = 0.03). RV detected in blood was always of the same type of RV detected in nasopharyngeal secretions.
Table 3

Nasopharyngeal rhinovirus (RV) load in children with presence or absence of viremia by RV type

Type of rhinovirusAbsence of RV viremiaPresence of RV viremiaP valuea
RV-A load (n = 18)
  < median (i.e., 6.16 log10 cp/mL), n (%)9 (52.9)0 (0.0)
  ≥ median, n (%)8 (47.1)1 (100.0)1.00
 Range3.90–8.598.83
 Mean (SD)5.83 (1.57)8.83 (−)0.15
RV-B load (n = 5)
  < median (i.e., 7.26 log10 cp/mL), n (%)3 (75.0)0 (0.0)
  ≥ median, n (%)1 (25.0)1 (100.0)0.33
 Range5.59–7.267.64
 Mean (SD)6.42 (1.18)7.64 (−)0.54
RV-C load (n = 22)
  < median (i.e., 5.91 log10 cp/mL), n (%)12 (66.7)0 (0.0)
  ≥ median, n (%)6 (33.3)4 (100.0)0.08
 Range2.44–8.385.94–8.85
 Mean (SD)5.38 (1.51)7.73 (1.25)0.03
RV-unspecified load (n = 5)
  < median (i.e., 4.48 log10 cp/mL), n (%)2 (40.0)0 (0.0)
  ≥ median, n (%)3 (60.0)0 (0.0)
 Range2.44–7.50
 Mean (SD)4.48 (1.32)

SD standard deviation

aCalculated using Fisher’s exact test

Nasopharyngeal rhinovirus (RV) load in children with presence or absence of viremia by RV type SD standard deviation aCalculated using Fisher’s exact test

Discussion

Our findings confirm that RVs are frequently found in the nasopharynx of children with respiratory diseases (regardless of the site of infection), sometimes together with one or more other respiratory viruses [6, 8]. In terms of clinical relevance, we did not find any positive correlation between nasopharyngeal RV load and the type of respiratory infection diagnosed, but the children who were positive for RV viremia simultaneously had a significantly higher viral load and more severe disease, thus suggesting that the former is a prerequisite for viremia and is more frequently associated with greater clinical involvement. The lack of a correlation between nasopharyngeal RV load and the severity of lower RTIs has been previously reported by van Elden et al. in adults with asthma [13]. However, these data and those collected by us are different from the data published by other authors [14, 16]. Gerna et al. found that RVs were mainly associated with lower RTIs (in the absence of other viral agents) and wheezing in immunocompetent pediatric patients with nasopharyngeal loads of ≥6 log10 RNA copies/mL, whereas lower values represented a probable carrier state in immunocompromised asymptomatic adult patients [14]. Similarly, Takeyama et al. found a significant positive correlation between nasopharyngeal RV load and disease severity in patients aged ≥11 months, but not in younger patients [16]. Finally, Kieninger et al. studied the bronchoalveolar lavages of patients with severe chronic respiratory disease and healthy controls, and found that patients with cystic fibrosis or bronchiectasis had higher RV loads in respiratory secretions than controls, particularly during pulmonary exacerbations, whereas asthmatic patients had similar loads to those measured in healthy subjects [19]. On the basis of our findings, it is possible that these discrepancies may be at least partially due to the different number of viremic patients enrolled in each study, although none of the previous studies simultaneously evaluated nasopharyngeal RV load and RV viremia. RVs have been traditionally associated with RTIs, and extra-respiratory localisations have been considered relatively unimportant. However, they have recently been linked to pericarditis [28], and RVs have been found in stool samples of children with gastroenteritis, thus suggesting that they may be the cause of diarrhea [15]. Viremia during respiratory RV infection has been studied over recent years but, when RVs could only be identified by means of culture, it was only found in a very small number of children who died suddenly and unexpectedly [29, 30], or because of an acute RTI [31]. Current molecular methods are significantly more sensitive and, contrary to expectations, have revealed that viremia is relatively common in children with RV infection and is usually associated with a more severe course of RV disease. Xatzipsalti et al. detected RV in the blood of 11.4 % of 88 children with upper and lower RTIs, particularly during the early course of disease, and found that it was mainly associated with a significant increase in moderate or severe exacerbations of acute asthma [17]. Similarly, Fuji et al. found that 12.3 % of 243 subjects with RV infection and severe respiratory symptoms were viremic, most of whom had reduced O2 blood saturation levels [20]. They also found that RV-C was more frequently associated with viremia than RV-A and RV-B, thus suggesting that it may be more pathogenic. Our findings confirm that viremia is relatively common in RV-positive patients and that it seems to be a marker of more severe RV disease, particularly when the infection is caused by RV-C. The prevalence of viremia in our study was 12 %, which is practically identical to previously reported prevalence, and most of the viremic patients had RV-C infection [20]. Interestingly, the children who were viremic upon admission not only had a worse clinical presentation and a higher incidence of low O2 saturation levels, but also had significantly higher WBC counts, CRP levels and nasopharyngeal RV loads. Blood culture for bacteria was negative in all the cases. This finding, although it does not exclude the possible coexistence of a bacterial co-infection due to the poor sensitivity of culture in the identification of bacteremic cases [32], supports the hypothesis that RV was the cause of the disease. On the other hand, in viremic cases RV was the only virus identified both in the nasopharyngeal swab and in the blood. In conclusion, the findings of this study suggest that nasopharyngeal viral load and viremia influence the severity of RV infection. However, further studies are needed to verify the relationships between viremia and duration of signs and symptoms of disease, duration of viral shedding and risk of superimposed bacterial infections. This information could be useful to decide characteristics of RV-related disease and its outcome.
  30 in total

1.  Comparison of the Luminex Respiratory Virus Panel fast assay with in-house real-time PCR for respiratory viral infection diagnosis.

Authors:  Naomi J Gadsby; Alison Hardie; Eric C J Claas; Kate E Templeton
Journal:  J Clin Microbiol       Date:  2010-03-31       Impact factor: 5.948

2.  Bacteremic pneumococcal community-acquired pneumonia in children less than 5 years of age in Italy.

Authors:  Susanna Esposito; Anna Marchese; Alberto E Tozzi; Giovanni A Rossi; Liviana Da Dalt; Gianni Bona; Claudio Pelucchi; Gian Carlo Schito; Nicola Principi
Journal:  Pediatr Infect Dis J       Date:  2012-07       Impact factor: 2.129

Review 3.  Molecular diagnosis of respiratory virus infections.

Authors:  James B Mahony; Astrid Petrich; Marek Smieja
Journal:  Crit Rev Clin Lab Sci       Date:  2011 Sep-Dec       Impact factor: 6.250

Review 4.  Pathogenesis of rhinovirus infection.

Authors:  Joshua L Kennedy; Ronald B Turner; Thomas Braciale; Peter W Heymann; Larry Borish
Journal:  Curr Opin Virol       Date:  2012-04-27       Impact factor: 7.090

5.  Comparison of results of detection of rhinovirus by PCR and viral culture in human nasal wash specimens from subjects with and without clinical symptoms of respiratory illness.

Authors:  Peter F Wright; Anne M Deatly; Ruth A Karron; Robert B Belshe; Jian R Shi; William C Gruber; Yuwei Zhu; Valerie B Randolph
Journal:  J Clin Microbiol       Date:  2007-05-02       Impact factor: 5.948

Review 6.  New developments in the epidemiology and clinical spectrum of rhinovirus infections.

Authors:  Joshua W Brownlee; Ronald B Turner
Journal:  Curr Opin Pediatr       Date:  2008-02       Impact factor: 2.856

7.  Rhinoviraemia.

Authors:  G E Urquhart; E J Stott
Journal:  Br Med J       Date:  1970-10-03

8.  High rhinovirus burden in lower airways of children with cystic fibrosis.

Authors:  Elisabeth Kieninger; Florian Singer; Caroline Tapparel; Marco P Alves; Philipp Latzin; Hui-Leng Tan; Cara Bossley; Carmen Casaulta; Andrew Bush; Jane C Davies; Laurent Kaiser; Nicolas Regamey
Journal:  Chest       Date:  2013-03       Impact factor: 9.410

9.  Impact of viral infections in children with community-acquired pneumonia: results of a study of 17 respiratory viruses.

Authors:  Susanna Esposito; Cristina Daleno; Giulia Prunotto; Alessia Scala; Claudia Tagliabue; Irene Borzani; Emilio Fossali; Claudio Pelucchi; Nicola Principi
Journal:  Influenza Other Respir Viruses       Date:  2012-02-13       Impact factor: 4.380

Review 10.  Rhinovirus and the lower respiratory tract.

Authors:  Frederick G Hayden
Journal:  Rev Med Virol       Date:  2004 Jan-Feb       Impact factor: 6.989

View more
  30 in total

1.  Rhinovirus Disease in Children Seeking Care in a Tertiary Pediatric Emergency Department.

Authors:  Helen Y Chu; Janet A Englund; Bonnie Strelitz; Kirsten Lacombe; Charla Jones; Kristin Follmer; Emily K Martin; Miranda Bradford; Xuan Qin; Jane Kuypers; Eileen J Klein
Journal:  J Pediatric Infect Dis Soc       Date:  2014-10-19       Impact factor: 3.164

Review 2.  [Rhinoviruses].

Authors:  A Grünewaldt; C Hügel; G G U Rohde
Journal:  Internist (Berl)       Date:  2019-11       Impact factor: 0.743

Review 3.  The liver is a metabolic and immunologic organ: A reconsideration of metabolic decompensation due to infection in inborn errors of metabolism (IEM).

Authors:  Tatyana N Tarasenko; Peter J McGuire
Journal:  Mol Genet Metab       Date:  2017-06-24       Impact factor: 4.797

4.  Uses of pathogen detection data to estimate vaccine direct effects in case-control studies.

Authors:  Joseph A Lewnard
Journal:  J R Soc Interface       Date:  2020-08-12       Impact factor: 4.118

5.  Superiority of Digital Reverse Transcription-PCR (RT-PCR) over Real-Time RT-PCR for Quantitation of Highly Divergent Human Rhinoviruses.

Authors:  Ruth Hall Sedlak; Thuy Nguyen; Isabel Palileo; Keith R Jerome; Jane Kuypers
Journal:  J Clin Microbiol       Date:  2016-11-23       Impact factor: 5.948

6.  The plasma virome of febrile adult Kenyans shows frequent parvovirus B19 infections and a novel arbovirus (Kadipiro virus).

Authors:  Carolyne N Ngoi; Juliana Siqueira; Linlin Li; Xutao Deng; Peter Mugo; Susan M Graham; Matt A Price; Eduard J Sanders; Eric Delwart
Journal:  J Gen Virol       Date:  2016-10-24       Impact factor: 3.891

7.  Rhinovirus Viremia in Patients Hospitalized With Community-Acquired Pneumonia.

Authors:  Xiaoyan Lu; Eileen Schneider; Seema Jain; Anna M Bramley; Weston Hymas; Chris Stockmann; Krow Ampofo; Sandra R Arnold; Derek J Williams; Wesley H Self; Anami Patel; James D Chappell; Carlos G Grijalva; Evan J Anderson; Richard G Wunderink; Jonathan A McCullers; Kathryn M Edwards; Andrew T Pavia; Dean D Erdman
Journal:  J Infect Dis       Date:  2017-11-27       Impact factor: 5.226

8.  Enhanced Neutralizing Antibody Responses to Rhinovirus C and Age-Dependent Patterns of Infection.

Authors:  Timothy Choi; Mark Devries; Leonard B Bacharier; William Busse; Carlos A Camargo; Robyn Cohen; Gregory P Demuri; Michael D Evans; Anne M Fitzpatrick; Peter J Gergen; Kristine Grindle; Rebecca Gruchalla; Tina Hartert; Kohei Hasegawa; Gurjit K Khurana Hershey; Patrick Holt; Kiara Homil; Tuomas Jartti; Meyer Kattan; Carolyn Kercsmar; Haejin Kim; Ingrid A Laing; Petra LeBeau; Kristine E Lee; Peter N Le Souëf; Andrew Liu; David T Mauger; Carole Ober; Tressa Pappas; Shilpa J Patel; Wanda Phipatanakul; Jacqueline Pongracic; Christine Seroogy; Peter D Sly; Christopher Tisler; Ellen R Wald; Robert Wood; Ronald Gangnon; Daniel J Jackson; Robert F Lemanske; James E Gern; Yury A Bochkov
Journal:  Am J Respir Crit Care Med       Date:  2021-04-01       Impact factor: 30.528

9.  Viruses as Sole Causative Agents of Severe Acute Respiratory Tract Infections in Children.

Authors:  Fleur M Moesker; Jeroen J A van Kampen; Annemarie M C van Rossum; Matthijs de Hoog; Marion P G Koopmans; Albert D M E Osterhaus; Pieter L A Fraaij
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

10.  Phylogenetic analysis of human rhinovirus isolates collected from otherwise healthy children with community-acquired pneumonia during five successive years.

Authors:  Cristina Daleno; Antonio Piralla; Alessia Scala; Laura Senatore; Nicola Principi; Susanna Esposito
Journal:  PLoS One       Date:  2013-11-19       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.