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Multidisciplinary Respiratory Medicine logoLink to Multidisciplinary Respiratory Medicine
. 2019 Apr 1;14:11. doi: 10.1186/s40248-019-0174-7

Clinical characteristics and outcomes of patients with severe acute respiratory infections (SARI): results from the Egyptian surveillance study 2010–2014

Ashraf Hatem 1, Sherif Mohamed 2,, Usama E Abu Elhassan 1, Eman A M Ismael 1, Magda S Rizk 3, Amany El-kholy 4, Mohamed El-Harras 5
PMCID: PMC6442424  PMID: 30976418

Abstract

Background

Respiratory viral and atypical bacterial infections data in Egyptian patients are sparse. This study describes the clinical features and outcomes of patients with severe acute respiratory infections (SARI) in hospitalized patients in Egypt.

Methods

SARI surveillance was implemented at Cairo University Hospital (CUH) during the period 2010–2014. All hospitalized patients meeting the WHO case definition for SARI were enrolled. Nasopharyngeal/oropharyngeal (NP/OP) swabs were collected and samples were tested using RT-PCR for influenza A, B, respiratory syncytial virus (RSV), human metapneumovirus (hMPV), parainfluenza virus (PIV 1,2,3,4), adenovirus, bocavirus, coronavirus, enterovirus, rhinovirus, and atypical bacteria. Data were analyzed to calculate positivity rates for viral pathogens and determine which pathogens related to severe outcomes or resulted in death.

Results

Overall, 1,075/3,207 (33.5%) cases had a viral etiology, with a mean age of 5.74 (±13.87) years. The highest rates were reported for RSV (485 cases, 45.2%), PIV (125, 11.6%), and adenovirus (105, 9.8%). Children had a higher viral rate (981, 91.2%) compared to 94 (8.8%) cases in adults. Patients with identified viruses had significantly lower rates for ICU admission, hospital stay, mechanical ventilation, and overall mortality than those without identified viruses. No infections were independently associated with severe outcomes.

Conclusions

Viral pathogens were encountered in one-third of hospitalized adult and pediatric Egyptian patients with SARI, while atypical bacteria had a minor role. Highest rates of viral infections were reported for RSV, PIV, and adenovirus. Viral infections had neither negative impacts on clinical features nor outcomes of patients with SARI in our locality.

Keywords: Clinical, Outcomes, Viral, SARI, Egypt, Surveillance

Background

The World Health Organization (WHO) estimates that acute respiratory infections (ARI) cause annual deaths approaching 4 million, at a rate of more than 60 deaths/100,000 populations [1]. Viruses are responsible for 30-70 % of ARI where respiratory syncytial virus (RSV), influenza virus, parainfluenza virus (PIV), human Bocavirus, human metapneumovirus (hMPV), adenovirus, rhinovirus, enterovirus and Coronaviruses account for the majority of these cases [1, 2]. The 2009 influenza pandemic had highlighted the need for more global data on severe influenza disease, so the WHO recommended conducting surveillance for hospitalized severe acute respiratory infection (SARI), as well as influenza-like illness (ILI) in outpatients [36]. SARI surveillances are now conducted in many countries around the world; however, because of limited resources, they are only conducted in limited settings in the Middle East and Egypt [79]. Furthermore, the role of individual viral or atypical bacterial infection in causing ARI is not usually documented [10, 11].

In the current study, we analyzed surveillance data from Egyptian patients with SARI, enrolled at Cairo University Hospital (CUH) from 2010 to 2014. We aimed to calculate proportions of positive samples for different viral pathogens, to determine which pathogens were related to severe outcomes, and to address the impact of SARI on the clinical outcomes of enrolled patients, in terms of morbidity and mortality.

Methods

Study population

Cairo University Hospital (CUH) is a 5100-beds tertiary referral teaching hospital. Inclusion criteria consisted of hospitalized adults (defined as age ≥ 18 years old), as well as pediatric patients (age < 18 years old), with the diagnosis of SARI, who provided a respiratory sample, from February 2010 to February 2014. Due to an annual review by dedicated investigators and updates to WHO guidelines, the case definition for SARI has evolved over the study period. Before February 2010, as a global-surveillance case definition of SARI did not exist, the definition for SARI was adapted from the WHO protocol on rapid response for persons ≥5 years old [3]. Whereas, for children <5 years old, SARI definition was adapted from the program for Integrated Management of Childhood Illness [4]. After March 2011, the global standards and tools for influenza surveillance developed by the WHO were adopted [5]. As of January 2014, the WHO surveillance case definitions for SARI was implemented [6] as follows, acute respiratory infection with history of fever or measured fever of ≥ 38 C°; and cough; with onset within the last 10 days; and requiring hospitalization [6]. An enrollment form was used to collect data from enrolled eligible patients including patient demographics, medical history, clinical signs and symptoms, comorbidities, reported influenza vaccine status, recent travel history, treatment, clinical course, and outcome. Patients with incomplete medical records were excluded.

Clinical samples and viral detection techniques

Nasopharyngeal (NP) and oropharyngeal (OP) swabs for detecting viruses and blood cultures for detecting bacteria were taken from eligible patients on admission using operating procedures described by the WHO [12]. Specimens were taken an average of 7 days after illness onset (range: 1–66 days).

Total nucleic acid (TNA) was extracted by the automated KingFisher Flex Magnetic Particle Processor (Thermo Scientific, Waltham, MA, USA) using MagMAX Total Nucleic Acid Isolation Kit (Cat No. AM 1840, Applied Biosystems, Foster, CA, USA) according to the manufacturer’s instructions. The viral target was amplified using specific primers and probes produced by the CDC (Atlanta, GA, USA) and following standard protocol for reverse transcription polymerase chain reaction detection. From 2010 to 2012, testing for RSV, adenovirus, human parainfluenza viruses (hPIV) 1, 2 and 3, influenza (A and B) and human metapneumovirus was conducted at CUH laboratory and sent for confirmation by the Naval Medical Research Unit No.3 (NAMRU-3) laboratory. From 2013 to 2014, testing was conducted at CUH laboratory. For all samples, the human RNase P gene (RP) was tested as an internal positive control to ensure proper sample collection and nucleic acid extraction. Samples were considered positive to the viral target if the amplification curve crossed the threshold line before cycle 40. All clinical samples should be positive to RP with cutoff value ≤ 37, as prescribed previously [8]. Blood samples were collected for detection of Mycoplasma pneumonia, Chlamydia pneumonia, and Legionella pneumophila, using RT-qPCR.

Ethical standards

Prior to study initiation, the study protocol was reviewed and approved by Institutional Review Board at the NAMRU-3, as well as the ethical committee of CUH, in compliance with all applicable federal U.S. regulations governing the protection of human subjects. An informed written consent was obtained from the patients (in the case of adult patients) or patients’ parent/legal guardian (in the case of pediatric patients).

Statistical analysis

Data analyses were conducted using the software SPSS (Statistical Package for the Social Science; IBM Corp, NY, USA); version 22. Data were summarized using median (range) for quantitative variables and number and percent for qualitative variables. Comparison between groups was done using the Chi-square test for qualitative variables, independent sample t-test for normally distributed quantitative variables, while the Mann-Whitney U test was used for quantitative variables that are not normally distributed. Indicators of severe disease were assessed for each pathogen of interest using Mantel-Haenszel estimates to calculate odds ratios and confidence intervals and the Mantel-Haenszel chi-squared test to assess statistical significance [13]. Logistic regression was used to examine associations between viral respiratory pathogens and severe outcomes, defined as illness requiring ventilation or intensive care unit (ICU) or resulting in death while controlling for demographic and clinical characteristics. Only variables with statistically significant univariate association with severe outcomes were included in multivariate regression analysis. All tests were two-sided, and differences with p <0.05 were considered significant.

Results

Demographic data of the study population

Out of 3,207 participants enrolled in this SARI surveillance, 1,075 (33.5%) had positive results for viral and atypical bacteria tested. They included 569/1,075 (53%) females and 506/1,075 (47%) males. The median age was one year (range 0-85 years). Children less than 18 years had a higher viral etiology (981 patients, 91.2%) compared to 94 (8.8%) ones in adults. Notably, children <5 years represented 83% of patients. The highest rates of viral infections were reported for RSV (485 patients, 45.2%), PIV (125, 11.6%), and adenovirus (105, 9.8%). Other encountered viruses included rhinovirus, hMPV, and BOCA virus (2%,7%, and 1%, respectively). Only 3 cases were positive for Mycoplasma and were co-infected with RSV, while only one case of Chlamydia was co-infected with RSV and hMPV. Neither Coronavirus nor Legionella was detected. Table 1 shows these data.

Table 1.

Demographic and clinical characteristics of patients hospitalized with severe acute respiratory infection (SARI) cases in Egypt, 2010–2014

Characteristic Viruses Not Identified (n = 2,132) N (%) Enrolled SARI cases (n = 1,075) N (%) P* RSV (n = 485) N (%) P$ Multiple Viruses (n = 174) N (%) P$ PIV (n = 125) N (%) P$ Adeno-Virus (n = 105) N (%) P$ Influenza Viruses (n = 77) N (%) P$
Demographics
Gender
 Female 810 (38) 569 (53) 0.562 257 (53) 1.000 90 (52) 0.741 65 (52) 0.449 47 (45) 0.081 48 (62) 0.054
 Male 1,322 (62) 506 (47) 228 (47) 84 (48) 60 (48) 58 (55) 29 (38)
Age in years
 Mean ± SD 16.96 ± 25.3 5.74 ± 13.8 3.15 ± 9.64 5.48 ± 12.55 6.48 ± 14.82 4.48 ± 11.12 19.52 ± 23.47
 Median 1.0 1.0 0.67 1.0 1.0 1.0 5.0
 (Range) (0–90) (0–85) (0–85) (0–77) (0–74) (0–57) (0–76)
 < 18 years 1,493 (70) 981 (91) 0.000 470 (97) 0.000 162 (93) 0.143 111 (89) 0.523 97 (92) 0.330 47 (61) 0.000
 < 1 year 831 501 269 73 59 29 23
 1–5 years 567 384 165 66 46 52 17
 >  5 years 95 96 36 23 6 16 7
 >  18 years 639 (30) 94 (9) 15 (3) 12 (7) 14 (11) 8 (8) 30 (39)
Signs & symptoms at presentation
 Shortness of breath 1,555 (73) 1,033 (96) 0.000 485 (100) NA 174 (100) NA 125 (100) NA 105 (100) NA 77 (100) NA
 Sore throat 654 (31) 273 (25) 0.001 174 (36) 0.001 35 (20) 0.087 33 (26) 0.429 18 (17) 0.024 18 (23) 0.394
 Sputum production 1,169 (55) 566 (53) 0.077 254 (52) 0.902 86 (49) 0.396 66 (53) 0.524 63 (60) 0.068 46 (60) 0.120
 Hemoptysis 62 (3) 20 (2) 0.047 5 (1) 0.110 4 (2) 0.869 3 (2) 0.426 2 (2) 0.599 3 (4) 0.175
 Body aches 153 (7) 165 (15) 0.000 60 (12) 0.005 30 (17) 0.490 26 (21) 0.060 22 (21) 0.065 10 (13) 0.391
 Tachypnea 1,732 (81) 1,000 (93) 0.000 442 (91) 0.362 154 (88) 0.292 108 (86) 0.459 98 (93) 0.084 74 (96) 0.038
 Nasal congestion 300 (14) 647 (60) 0.000 322 (66) 0.161 113 (65) 0.244 69 (55) 0.128 53 (50) 0.397 30 (39) 0.131
 Wheezing 360 (17) 881 (82) 0.000 414 (85) 0.186 141 (81) 0.342 108 (86) 0.123 82 (78) 0.455 42 (55) 0.000
 Stridor 22 (1) 7 (0.6) 0.127 3 (0.6) 1.000 0 (0) 0.606 1 (0) 0.586 1 (0) 0.514 2 (0) 0.052
 Abnormal Breath
Sounds
955 (45) 558 (52) 0.159 239 (49) 0.140 84 (48) 0.314 74 (59) 0.054 60 (57) 0..256 49 (64) 0.023
 Nausea or vomiting 209 (10) 116 (11) 0.360 54 (11) 1.000 29 (17) 0.011 12 (10) 0.349 8 (7) 0.174 5 (6) 0.401
 Convulsions 63 (3) 108 (10) 0.000 44 (9) 0.245 18 (10) 0.891 15 (12) 0.284 17 (16) 0.026 8 (10) 0.215
Comorbidities
 Chronic Resp disease 343 (16) 460 (43) 0.002 227 (47) 0.062 52 (30) 0.044 35 (28) 0.066 45 (43) 0.078 35 (45) 0.053
 Asthma 87 119 77 22 21 28 26
 COPD 42 66 13 6 2 0 4
 Bronchiectasis 101 133 88 11 9 12 2
 Othersa 113 142 49 13 3 5 3
 Cardiac disease 512 (24) 214 (20) 0.392 81 (17) 0.046 37 (21) 0.050 31 (25) 0.078 26 (25) 0.055 12 (16) 0.158
 Heart failure 299 44 22 13 14 9 7
 Congenital HD 114 147 48 15 11 15 2
 Cardiomyopathy 99 23 11 9 6 2 3
 Endocrine disease 147 (7) 124 (12) 0.000 50 (10) 0.249 19 (11) 0.897 24 (19) 0.004 13 (12) 0.420 12 (16) 0.158
 Diabetes mellitus 100 106 37 12 21 11 11
 Obesity 47 18 13 7 3 2 1
 Neuromuscular
disease
176 (8) 90 (8) 0.001 30 (6) 0.033 15 (9) 0.063 19 (15) 0.012 10 (10) 0.398 6 (8) 0.233
 Muscle dis 123 37 13 11 12 6 4
 Epilepsy 53 53 17 4 7 4 2
 Renal disease 43 (2) 11 (1) 0.951 5 (1) 0.866 0 (0) 0.322 3 (2) 0.198 0 (0) 0.314 2 (3) 0.200
 Chronic RF 34 9 5 3 2
 Nephrotic Syndrome 9 2 0 0 0
 Hepatic disease 54 (3) 9 (1) 0.002 2 (0.5) 0.001 3 (2) 0.192 2 (2) 0.277 1 (1) 0.579 1 (1) 0.496
 Ch hepatitis 9 5 2 2 0 1 1
 Liver cirrhosis 33 3 0 1 2 0 0
 Hepatic failure 12 1 0 0 0 0 0
 Hematologic disease 23 (1) 5 (0.5) 0.583 0 (0) 0.051 1 (0.5) 0.428 1 (1) 0.377 2 (2) 0.079 1 (1) 0.496
Clinical course
 Pneumonia 175 (8) 29 (3) 0.004 13 (2.6) 0.033 4 (2) 0.066 1 (1) 0.288 4 (4) 0.054 3 (4) 0.299
 Admission to ICU 606 (28) 219 (20) 0.000 82 (17) 0.022 41 (23) 0.123 20 (16) 0.007 22 (21) 0.064 36 (47) 0.045
 Mechanical ventilation 221 (10) 100 (9) 0.412 43 (9) 0.052 13 (7) 0.778 8 (6) 0.373 7 (7) 0.213 17 (22) 0.001
Complications
 Respiratory failure 45 (2) 22 (2) 0.033 9 (2) 0.552 4 (2) 0.488 2 (2) 0.607 4 (4) 0.101 1 (1) 0.349
 ARDS 3 (0.1) 15 (1.5) 0.011 8 (2) 0.063 4 (2) 0.072 0 (0) 0.237 0 (0) 0.064 0 (0) 0.078
Outcomes$
 Discharged 1,852 (87) 956 (89) 0.005 433 (89) 0.045 153 (88) 0.051 116 (93) 0.289 100 (95) 0.131 62 (81) 0.006
 Transferred 174 (8) 95 (8.8) 40 (8.6) 20 (11.5) 7 (6) 3 (3) 10 (13)
 Died 106 (5) 24 (2.2) 12 (2.4) 4 (2) 1 (1) 2 (2) 4 (5)

*P for comparison between virus-infected (SARI-positive) and non-infected (SARI-negative) individuals. P$ for SARI patients with a positive result for that pathogen compared to a reference group of tested SARI patients with a negative result for that pathogen. RSV Respiratory syncytial virus, PIV Para-influenza virus, ICU Intensive care unit, ARDS Acute respiratory distress syndrome, NA Not available a Others; immotile cilia syndrome, interstitial lung disease

Clinical characteristics of viral-infected versus no virus-detected individuals

In comparison to non-viral infected individuals, viral-infected SARI ones had significantly predominant signs and symptoms at presentation. Particularly, they had significant viral prodromal symptoms, as well as tachypnea, wheezes, and convulsions (p=0.000 each). Among individual viral pathogens, SARI patients with influenza had more significant tachypnea (p= 0.038), wheezes (p=0.000), and abnormal breath sounds (p= 0.023), than those with non-influenza viral infections. Patients whose specimens were collected within 5 days of the onset of symptoms were more likely to have a viral pathogen detected than those whose specimens were collected later (73% versus 36%, p = 0.047).

Fifty-three percent of patients had at least one underlying medical condition. These comorbidities included chronic respiratory disorders (asthma, COPD, bronchiectasis, and immotile cilia syndrome), cardiac disorders (heart failure congenital heart diseases, and cardiomyopathy), neuromuscular disorders (epilepsy, cerebral palsy, and myopathies), hematological disorders (thalassemia), endocrine disorders (diabetes mellitus, hypothyroidism, and morbid obesity), renal disorders (end-stage renal disease), and liver disorders (liver cirrhosis and hepatic failure).

Patients with comorbidities (n = 570, 53%) were significantly older compared to those with no comorbidities (median age: 54 versus 3, p <0.001). Additionally, they were significantly more likely to be symptomatic.

In terms of comorbidities, patients with and without viral detection differed significantly in the frequencies of chronic respiratory (p=0.002), endocrine (p=0.000), hepatic (p=0.002), and neuromuscular disorders (p=0.001). Among individual viral pathogens, SARI patients with para-influenza virus had significant endocrine (p= 0.004), and neuromuscular disorders (p=0.012), than those with non-para-influenza viral infections.

For influenza vaccination history; 832/1,075 (77.4%) cases did not receive the vaccine within the 12 months prior to hospital admission, while 243/1,075 (22.6%) were reported as unknown for an influenza vaccination status. Table 1 details these results.

Clinical course, complications, and outcomes in viral-infected patients

In comparison to non-viral infected individuals, viral-infected SARI ones had significantly lower rates of pneumonia (p=0.004) and admission to the ICU (p=0.000). Patients with influenza virus tended to have significantly different rates of admission to the ICU (p=0.045), and mechanical ventilation (p=0.001), in comparison to those with non-influenza infections. With regards to complications, viral-infected SARI patients had significant differences for developing respiratory failure (p=0.033), and acute respiratory distress syndrome; ARDS (p=0.011), in comparison to those without viral infections.

Overall mortality in SARI-positive patients was 24/1,075 (2.2%) and peaked at 1% in 2014. Overall, only 2(8%) were adults, while 22 (92%) were children. Among children, 18(75%) were aged <5 years. Overall, two-thirds (16/24) had comorbidities. All patients who died were admitted to the ICU and mechanically ventilated. Notably, all patients who died tested positive for a viral pathogen; twelve were positive for RSV, four for influenza virus, two for adenovirus, one for hMPV, one for PIV and four for mixed viral infections, respectively. Among those who died, there was a significant difference between those with (2.2%) and without (5%) viral detection (p = 0.005). Among individual viral pathogens, SARI patients with RSV and influenza had significant deaths (p= 0.045 and 0.006), in comparison to those with non-RSV and non-influenza viral infections. No mortality was reported for patients with atypical bacteria (Table 1).

Severe outcomes in viral-infected patients

No infections were independently associated with increased severity of SARI, as indicated by illness requiring mechanical ventilation and/or ICU and/or resulting in death. There was strong evidence that individuals with RSV and influenza were less likely to experience a severe outcome than those not infected with each of these pathogens (RSV OR 1.433, 95% CI 4.698-6.132. p=0.021, influenza OR 3.937, 95% CI 2.447-6.3340, p=0.000). Individuals with multiple infections were no more likely than those with infection with a single pathogen to experience severe outcomes (OR 0.232, 95% CI 0.155-0.619, p = 0.240).

When analyses were stratified by age, neither significant differences in severe outcomes could be encountered between viral-infected and non-infected individuals (OR 0.983, 95% CI 0.503-1.924, p=0.961 and OR 1.100, 95% CI 0.704-1.718, p=0.675) nor between individual viral infections, among children and adults. Table 2 shows these details (Data for PIV, hMPV, Boca virus, rhino-, and enterovirus are not shown in the table).

Table 2.

Indicators of the severity of SARI by pathogen and age

SARI cases RSV Adenovirus Influenza Multiple Viruses
No (%) OR (95%
CI)
P* No (%) OR (95% CI) P$ No (%) OR (95% CI) P$ No (%) OR (95% CI) P$ No (%) OR (95% CI) P$
All participants
 Ventilation 100/
1,075
(9)
1.280
(0.703-
2.329
0.419 43/485
(9)
0.177
(−1.005-
0.185)
0.866 7/105
(7)
1.293
(0.682-
2.452)
0.431 17/77
(22)
3.123
(1.743-
5.598)
0.000 13/174
(7)
0.755
(0.412-
1.386)
0.365
 ICU 219/
1,075
(20)
0.972
(0.706-
1.337)
0.861 82/485
(17)
1.897
(12.591-
13.635)
0.017 22/105
(21)
1.040
(0.634-
1.707)
0.876 36/77
(47)
3.910
(2.431-
6.290)
0.000 41/174
(23)
0.225
(0.162-
0.612)
0.254
 Death 24/
1,075
(2)
0.00
(0.941-
0.966)
0.557 12/485
(2)
0.530
(−1.215-
0.625)
0.637 2/105
(2)
0.837
(0.194-
3.609)
0.811 4/77
(5)
0.986
(−0.114-
2.085)
0.079 4/174
(2)
0.036
(1.050-
1.122)
0.948
 Severe Outcome 219/
1,075
(20)
0.972
(0.706-
1.337)
0.861 82/485
(17)
1.433
(4.698-
6.132)
0.021 22/105
(21)
1.047
(0.638-
1.738)
0.857 36/77
(47)
3.937
(2.447-
6.334)
0.000 41/174
(23)
0.232
(0.155-
0.619)
0.240
Children <18 years
 Ventilation 66/
981
(7)
1.032
(0.305-
3.541)
0.952 36/485
(8)
0.894
(0.566-
1.413)
0.632 7/105
(7)
0.907
(04.05-
2.032)
0.812 5/77
(6)
1.785
(0.676-
4.713)
.0243 13/174
(7)
0.995
(0.536-
1.849)
0.988
 ICU 178/
981
(18)
0.983
(0.503-
1.924)
0.961 68/485
(14)
0.838
(0.594-
1.182)
0.314 11/105
(10)
0.691
(0359-
1.330)
0.268 10/77
(13)
2.008
(0.952-
(4.237)
0.067 32/174
(18)
1.418
(0.921-
2.185)
0.113
 Death 13/
981
(1)
0.973
(0.960-
(0.987)
0.784 12/485
(2)
1.363
(0.583-
1.385)
0.474 2/105
(2)
0.966
(0.222-
4.198)
0.963 2/77
(2)
2.640
(0.594-
11.740)
0.202 4/174
(2)
1.162
(0.338-
3.479)
0.789
 Severe Outcome 178/
981
(18)
0.983
(0.503-
1.924)
0.961 68/485
(14)
0.849
(0.602-
1.199)
0.353 11/105
(10)
0.697
(0.362-
1.342)
0279 10/77
(13)
2.024
(0.959-
4.271)
0.064 32/174
(18)
1.432
(0929-
2.206)
0.114
Adults >18 years
 Ventilation 34/94
(36)
1.357
(0.645-
2.856)
0.421 7/485
(1)
0.966
(0.114-
2.085)
0.078 0/105
(0)
2.991
(0.851-
10.514)
0.088 12/77
(16)
2.878
(1014-
8.166)
0.052 0/174
(0)
0.787
(0.669-
0.885)
0.063
 ICU 41/94
(44)
1.100
(0.704-
1.718)
0.675 14/485
(3)
1.493
(0.282-
2.452)
0.527 11/105
(10)
3.235
(0.671-
15.593)
0.143 26/77
(34)
0.929
(0.392-
2.198)
0.866 9/174
(5)
0.606
(0.203-
1.815)
0.371
 Death 11/94
(12)
0.934
(0.912-
0.965)
0.793 0/485
(0)
0.848
(0.437-
1.196)
0.691 11/105
(10)
0.859
(0.790-
0.933)
0.645 2/77
(2)
0.413
(0.324-
0.527)
0.351 0 (0) 0.826
(0.752-
0.907)
0.763
 Severe Outcome 41/94
(44)
1.100
(0.704-
1.718)
0.675 14/485
(3)
1.493
(0.282-
2.452)
0.527 0/105
(0)
3.235
(0.671-
15.593)
0.143 26/77
(34)
0.929
(0.392-
2.198)
0.866 9/174
(5)
0.606
(0.203-
1.815)
0.371

*P for comparison between virus-infected (SARI-positive) and non-infected (SARI-negative) individuals. P$ for SARI patients with a positive result for that pathogen compared to a reference group of tested SARI patients with a negative result for that pathogen. RSV Respiratory syncytial virus, PIV Para-influenza virus, ICU Intensive care unit, Severe outcome is defined as illness requiring ventilation or ICU or resulting in death

Logistic regression was used to further examine associations with severe outcomes in SARI-positive individuals with complete demographic data and clinical risk factors. By univariate analysis, individuals with positive results for rhinovirus and adults >18 years were more likely to experience a severe outcome than those not infected with rhinovirus (OR 4.975, 95% CI 2.431-17.812, p=0.024) and children <18 years (OR 10.357, 95% CI 5.895-18.197, p=0.000), respectively.

Multivariate analysis confirmed these results where individuals with positive results for rhinovirus and adults >18 years were more likely to experience a severe outcome than those not infected with rhinovirus (OR 4.807, 95% CI 2.981-16.112, p=0.025) and children <18 years (OR 11.716, 95% CI 7.225-18.998, p=0.000), respectively.

Table 3 shows these results.

Table 3.

Univariate and multivariate logistic regression for predictors of severe outcomes among viral-infected SARI cases

Univariate Analysis
OR (95% CI) P
RSV Negative ref
Positive 0.00 (−) 0.989
Adenovirus Negative ref
Positive 0.927 (0.533–1.612) 0.788
Rhinovirus Negative ref
Positive 4.975 (2.431–17.812) 0.024
Enterovirus Negative ref
Positive 0.00 (−) 1.000
Influenza Negative ref
Positive 1.150(0.608–2.176) 0.667
BOCA virus Negative ref
Positive 0.413 (0.051–3.371) 0.409
HMPV Negative ref
Positive 0.845 (0.431–1.656) 0.624
PIV Negative ref
Positive 0.633 (0.361–1.112) 0.112
Multiple viruses Single virus ref
Multiple viruses 1.515 (0.974–2.357) 0.065
Age Adults >18 years ref
Children <18 years 10.357 (5.895–18.197) 0.000
Gender Male ref
Female 0.893 (0.643–1.239) 0.497
Comorbidities None ref
Any 1.181 (0.840–1.661) 0.338
Multivariate analysis
OR (95% CI) P value
Rhinovirus Negative ref
Positive 4.807 (2.981–16.112) 0.025
Age Adults >18 years ref
Children <18 years 11.716 (7.225–18.998) 0.000

RSV Respiratory syncytial virus, hMPV Human metapneumovirus, PIV Para-influenza virus, OR Odds ratio

Comparison between RSV-positive and other viral cases

Being the most commonly detected virus among our cohort, clinical characteristics and outcomes of RSV-positive patients were compared to those with other respiratory positive cases as well as viral-negative patients.

While patients with RSV-positive infections had significant differences with those with no respiratory viruses identified, with regards to clinical signs and symptoms, comorbidities, and outcomes (ICU admission and deaths); they had no differences with those tested positive for other viral pathogens, with regards to the same parameters. (Table 4 shows these details)

Table 4.

Comparison of SARI patients with RSV to those with a non-RSV or to those with no respiratory virus identified

Characteristic RSV-positive (n = 485) N (%) Other Viruses Positive (n = 590) N (%) P* No virus Identified
(n = 2132) N (%)
P$
Gender
 Female 257 (53) 312 (53) 0.203 810 (38) 0.000
 Male 228 (47) 278 (47) 1,322 (62)
Age
 Below 18 y 470 (97) 511 (87) 0.801 1,493 (70) 0.373
 Above 18 y 15 (3) 79 (13) 639 (30)
Symptom onset ≤7 days 456 (94) 480 (81) 0.064 1,211 (57) 0.250
Cough 485 (100) 536 (91) 0.882 2,132 (100) 1.000
SOB 485 (100) 548 (93) 1.000 1,555 (73) 0.077
Fever 485 (100) 590 (100) 1.000 2,132 (100) 1.000
Sore throat 174 (36) 311 (53) 0.000 654 (31) 0.000
Sputum production 254 (52) 312 (53) 1.000 1,169 (55) 0.870
Body aches 60 (12) 105 (18) 0.063 153 (7) 0.004
Tachypnea 442 (91) 558 (95) 0.063 1,732 (81) 0.087
Nasal congestion 322 (66) 325 (55) 1.000 300 (14) 0.060
Wheezing 414 (85) 467 (79) 0.031 360 (17) 0.063
Abnormal BS 239 (49) 319 (54) 0.008 955 (45) 0.022
Nausea or vomiting 54 (11) 62 (10) 0.988 209 (10) 0.003
Convulsions 44 (10) 64 (11) 0.677 63 (3) 0.046
pneumonia 13 (3) 16 (3) 1.000 175 (8) 0.001
Chronic lung disease 227 (47) 233 (39) 0.086 343 (16) 0.001
Cardiac disease 81 (17) 133 (23) 0.063 512 (24) 0.022
Endocrine disease 50 (10) 74 (13) 0.866 147 (7) 0.002
Renal disease 5 (1) 6 (1) 1.000 43 (2) 0.246
Neuromuscular disorder 30 (6) 60 (10) 0.333 176 (8) 0.033
ICU 82 (17) 137 (23) 0.121 606 (28) 0.000
Ventilation 43 (9) 57 (10) 0.473 221 (10) 0.343
ARDS 8 (1) 7 (1) 1.000 3 (0) 0.000
Respiratory Failure 9 (2) 13 (2) 0.988 45 (2) 1.000
Death 12 (2) 12 (2) 1.000 106 (5) 0.000

*P for comparison for SARI patients with a positive result for RSV (RSV-positive SARI patients) and a reference group of tested SARI patients with a negative result for RSV (non-RSV-positive SARI patients).P$ for comparison between RSV-positive SARI patients and non-infected individuals (SARI-negative individuals); RSV Respiratory syncytial virus, SOB Shortness of breath, ICU Intensive care unit, ARDS Acute respiratory distress syndrome

Severe outcomes in RSV-positive patients

Logistic regression was used to examine associations with severe outcomes in RSV-positive patients with complete demographic data and clinical risk factors. By univariate analysis, individuals with RSV and associated comorbidities were more likely to experience severe outcomes (OR 4.703, 95% CI 0.803-9.672, p=0.001) than those with RSV and no comorbidities (Table 5).

Table 5.

Logistic regression for predictors of severe outcomes for RSV-positive cases

Univariate analysis
OR (95% CI) P
Gender Male ref
Female 1.600 (0.400–6.163) 0.086
Age Adults >18 years ref
Children <18 years 1.119 (0.276–4.466) 0.151
Comorbidities None ref
Any 4.703(0.803–9.672) 0.001

RSV Repiratory syncytial virus, OR Odds ratio

Discussion

To the best of our knowledge, this is the largest surveillance Egyptian study that addressed the epidemiological patterns of SARI due to viruses and atypical bacteria in both children and adult population and their relation to the clinical characteristics and outcomes of those patients.

The worldwide distribution of viral etiology as a cause of SARI varies between 2% and up to 78% [7, 11, 13, 14]. In this study, we found a viral etiology in 33.5 % of hospitalized patients with SARI, which is comparable to previous studies conducted in either developing or Middle Eastern countries [911, 13]. The finding that two-thirds of SARI cases had no pathogen detected suggests that poor or late specimen collection may have contributed to a lower yield of detected viruses. Interestingly, children <18 years represented the majority (91.2%) of our cohort. Notably, this contradicts findings observed by other studies [14, 15]. In their surveillance for SARI in Northern Vietnam, Nguyen et al [15] observed that 22.7% of their cohort were children <18 years, while 77.3% were adults >18 years. Again, children <5 years represented 83% of our cases. This is in accordance with those surveillance data from Southern Arizona, 82% [14], lower than those from China (94% in <72 months) [16] and higher than in Kenya,71% [11].

The highest rates of viral infections were reported for RSV (45.2%), PIV (11.6%), and adenovirus (9.8%), with a relatively low rate (7.2%) for influenza viruses. Not unexpected, RSV was the most predominant respiratory virus with a prevalence of 45%; emphasizing its role as the major cause of SARI in infants and young children worldwide [7, 8, 1317]. Notably, the proportion of SARI cases positive for RSV in children <5 years in our surveillance (90%) was markedly higher than those reported in surveillance data from Kenya, 21% [11], Southern Arizona, 31% [14], and even higher than previous studies in Egypt [18].

We observed that, SARI cases <5 years were significantly more likely than older patients to be infected with each of the pathogens examined, particularly for RSV and influenza. As the majority of enrolled patients were children (83%), this is not unexpected since these pathogens have a strong association with this age group. This is inconsistent with data that nearly 80% of children are exposed to RSV by age two, 100% to hMPV by age five and 90% to hPIV by age five [19]. Furthermore, hPIV is a significant etiology of LRTI in children [20], second only to RSV [21], and adenoviruses are the second most common viral pathogen in children under two years of age [7].

Notably, our results showed a very minor role for atypical bacteria in causing SARI in our locality. Only 3 cases were positive for Mycoplasma (co-infected with RSV), while only one case of Chlamydia was co-infected with RSV and hMPV. Clinical presentations differed significantly between those with non-viral infected individuals and viral-infected SARI ones. The later had significant viral prodromal symptoms, as well as tachypnea, wheezes, and convulsions. Furthermore, SARI patients with influenza had significant tachypnea, wheezes, and abnormal breath sounds, than those with non-influenza viral infections. The presence of these signs at presentation could help the clinician predicting the likely pathogen causing SARI [14].

Fifty-three percent of our patients had medical comorbidities, with the predominance of chronic lung diseases (43%). The impacts of medical comorbidities on patients with SARI were addressed in previous surveillance studies [9, 13, 14]. Despite that 83% of our cohort were children less than 5 years, and patients with comorbidities were significantly older compared to those with no comorbidities, patients with and without viral detection differed significantly in the frequencies of chronic respiratory, as well as endocrine, hepatic and neuromuscular disorders.

Comparing the clinical course, complications, and outcomes between viral-infected cases and non-viral detected controls showed interesting results. Patients with identified viruses had significantly lower rates for ICU admission, hospital stay, length of mechanical ventilation, and overall mortality than those without identified viruses. However, there were no differences with regards to ARDS and mechanical ventilation.

Previous studies showed conflicting results on the impacts of viral infections on clinical outcomes in patients with SARI [9, 13, 14, 19, 22, 23]. Differences in patients’ numbers, enrollment criteria, and methodologies could explain these results. Although PCR has been established as a reliable diagnostic assay with high sensitivity and specificity for respiratory viruses, particularly for RSV [24], the clinical implications of positive laboratory results are still less clear [13].

Patients with positive viral detection had better clinical outcomes than those with no viral detection, in terms of pneumonia, ICU admission, and overall mortality. Furthermore, compared to patients with no virus identified, patients with RSV-positive infection were significantly less likely to have pneumonia, to be admitted to the ICU, mechanically ventilated, and had less mortality.

Interestingly, analyses to assess associations with severe outcomes in the current study revealed that no infections were independently associated with those outcomes, even after controlling for age and associated medical comorbidities. Despite the predominance of RSV infections among SARI-positive cases (45%), there was strong evidence that individuals with RSV and influenza were less likely to experience a severe outcome than those not infected with each of these pathogens. Furthermore, individuals with multiple infections were no more likely than those with infection with a single pathogen to experience severe outcomes.

Multivariate logistic regression analysis confirmed that individuals with positive results for rhinovirus and adults >18 years were more likely to experience a severe outcome than those not infected with rhinovirus and children <18 years, respectively. However, because of the low prevalence of rhinovirus (2%) and adults (8.8%) in this study, further larger studies are needed to confirm these associations.

Being the most commonly detected virus among our cohort, there was an interest to examine the RSV-positive cases. Interestingly, while patients with RSV-positive infections had significant differences with those with no respiratory viruses identified with regards to clinical signs and symptoms, comorbidities, and outcomes; they had no differences with those tested positive for other viral pathogens with regards to the same parameters.

However, individuals with RSV and associated medical comorbidities were more likely to experience severe outcomes than those with RSV and no comorbidities, after controlling for age and other risk factors.

Again, review of the literature had shown conflicting results for clinical implications of RSV infection [9, 2328]. While the relationship between RSV infection and clinical disease has been established, as infections among asymptomatic individuals are rare [9, 2427], no relationship between viral load and disease severity was identified by others [23, 28, 29]. For non-influenza viruses, the clinical features are still unclear. Adenovirus infection levels in asymptomatic children and adults varied [27, 30], though this may be attributable to differences in sampling methodology since throat swabs may detect latent AdV DNA in tonsil tissue [27]. Studies suggest that asymptomatic infection with hMPV is rare among children [31], but results from adult populations are less conclusive, with reports of varying levels of infection among asymptomatic individuals [25, 32].

Furthermore, the clinical implications of positive laboratory results are further complicated by the presence of co-infections. Multiple viral respiratory pathogens were identified in 16.7% of our cases. Co-infection with 2 or more viral respiratory pathogens has been encountered in previous reports among pediatric populations in the Middle East [13, 18, 33, 34]. Multiple infections complicate diagnosis, as the relative clinical impact of each pathogen is unclear [13], and certain pathogens, such as adenovirus, are routinely found in the upper airways [35].

This study has many points of strength; it was the first surveillance that addresses the clinical impacts and epidemiological patterns of viral and atypical bacteria causing SARI in both children and adult Egyptian population, with enrolled large numbers of patients and over a relatively long period. Furthermore, analyses of homogenous populations, rather than different ethnic groups [14], give the results reliable and strong support. On the other hand, it has some limitations; more time may be needed for properly evaluating the role of atypical bacteria, and the flu vaccine was not used.

Conclusions

The current study showed that viral pathogens were encountered in one-third of hospitalized adult and pediatric Egyptian patients with SARI. Atypical bacteria had a minor role in SARI in our locality. Highest rates of viral infections were reported for RSV, PIV, and adenovirus. The presence of chronic respiratory, endocrine, hepatic and neuromuscular disorders negatively affects patients with identified viral infections. Viral infections had no negative impacts on clinical features, clinical course, and severe outcomes of SARI in our locality. Further studies are warranted.

Acknowledgments

The authors thank the nursing team at Cairo University Hospitals (CUH) and the technician teams of the laboratory departments of CUH and the Naval Medical Research Unit No.3 (NAMRU-3) for their contribution to this work.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ARDS

Acute respiratory distress syndrome

ARIs

Acute respiratory infections

CDC

Center of Disease Control

CUH

Cairo University Hospital

HBOV

Human Bocavirus

hMPV

Human metapneumovirus

Ig

Immunoglobulin

ILI

Influenza-like illness

IQR

Interquartile range

NP

Nasopharyngeal

OP

Oropharyngeal

OR

Odds Ratio

PIV

Parainfluenza virus

RSV

Respiratory syncytial virus

RT-qPCR

Quantitative real-time reverse transcription polymerase chain reaction

SARI

Severe acute respiratory infection

VTM

Viral transport medium

WHO

World Health Organization

Authors’ contributions

All authors have provided approval of the manuscript to be published. AH, SM, UA, and EI contributed to the draft of the submitted revised article, revised it critically for important content, and made substantial contributions to conception and design, as well as data acquisition, analysis, and interpretation; AH and MR contributed to the draft of the submitted article and made substantial contributions to acquisition, analysis, and interpretation of clinical data of patients admitted to the ICU. AE and MH contributed to the draft of the submitted article and made substantial contributions to acquisition, analysis, and interpretation of laboratory data.

Ethics approval and consent to participate

The study protocol was approved by the Institutional Review Board at the NAMRU-3, as well as the ethical committee of Cairo University Hospital (CUH), in compliance with all applicable federal U.S. regulations governing the protection of human subjects. Informed written consent was obtained from the patients (in the case of adult patients) or patients’ parent/legal guardian (in the case of pediatric patients).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

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References

  • 1.Murray C, Lopez A, Mathers C, Stein C. The Global Burden of Disease 2000 Project: Aims, Methods, and Data Sources. Global Programme on Evidence for Health Policy. Geneva: World Health Organization; 2001. [Google Scholar]
  • 2.Tregoning JS, Schwarze J. Respiratory viral infections in infants: Causes, clinical symptoms, virology, and immunology. Clin Microbiol Rev. 2010;23:74–98. doi: 10.1128/CMR.00032-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.World Health Organization . WHO pandemic influenza draft protocol for rapid response and containment. 2006. [Google Scholar]
  • 4.World Health Organization . Handbook IMCI Integrated management of childhood illness. Geneva: World Health Organization; 2005. Chapter 7: a Cough or Difficulty Breathing; p. 23. [Google Scholar]
  • 5.World Health Organization . WHO global technical consultation: global standards and tools for influenza surveillance. Geneva: World Health Organization; 2011. [Google Scholar]
  • 6.World Health Organization . WHO surveillance case definitions for ILI and SARI. 2014. [Google Scholar]
  • 7.Al-Toum R, Bdour S, Ayyash H. Adenovirus Infections in Jordanian Hospitalized Pediatric Patients: Prevalence and Clinical Features. J Med J. 2009;43(3):171–179. [Google Scholar]
  • 8.El Kholy AA, Mostafa NA, El-Sherbini SA, et al. Morbidity and outcome of severe respiratory syncytial virus infection. Pediatr Int. 2013;55:283–288. doi: 10.1111/ped.12051. [DOI] [PubMed] [Google Scholar]
  • 9.El Kholy AA, Mostafa NA, Ali AA, El-Sherbini SA, Ismail RI, Magdy RI, et al. Risk factors of prolonged hospital stay in children with viral severe acute respiratory infections. J Infect Dev Ctries. 2014;8:1285–93. 10.3855/jidc.4682. [DOI] [PubMed]
  • 10.Agmy G, Mohamed S, Gad Y, Farghally E, Mohammedin H, Rashed H. Bacterial Profile, Antibiotic Sensitivity and Resistance of Lower Respiratory Tract Infections in Upper Egypt. Mediterr J Hematol Infect Dis. 2013;5(1):e2013056. doi: 10.4084/MJHID.2013.056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Breiman RF, Cosmas L, Njenga MK, Williamson J, Mott JA, Katz MA, et al. Severe acute respiratory infection in children in a densely populated urban slum in Kenya, 2007–2011. BMC Infect Dis. 2015;15:95. 10.1186/s12879-015-0827-x. [DOI] [PMC free article] [PubMed]
  • 12.WHO information for laboratory diagnosis of pandemic (H1N1) 2009 virus in humans ‐ revised. Available at: https://www.who.int/csr/resources/publications/swineflu/WHO_Diagnostic_RecommendationsH1N1_20090521.pdf?ua=1.
  • 13.Horton KC, Dueger EL, Kandeel A, Abdallat M, El-Kholy A, Al-Awaidy S, et al. Viral etiology, seasonality and severity of hospitalized patients with severe acute respiratory infections in the Eastern Mediterranean Region, 2007-2014. PLoS One. 2017;12:e0180954. [DOI] [PMC free article] [PubMed]
  • 14.Wansaula Z, Olsen SJ, Casa MG, Golenko C, Erhart LM, Kammerer P, et al. Surveillance for severe acute respiratory infections in Southern Arizona, 2010–2014. Influenza Other Respir Viruses. 2016;10:161–9. 10.1111/irv.12360. [DOI] [PMC free article] [PubMed]
  • 15.Nguyen HKL, Nguyen SV, Nguyen AP, Hoang PMV, Le TT, Nguyen TC, et al. Surveillance of Severe Acute Respiratory Infection (SARI) for Hospitalized Patients in Northern Vietnam, 2011-2014. Jpn J Infect Dis. 2017;70:522–7. [DOI] [PubMed]
  • 16.Zhang C, Zhu N, Xie Z, Lu R, He B, Liu C, et al. Viral etiology and clinical profiles of children with severe acute respiratory infections in China. PLoS One. 2013;8:e72606 3135–9. [DOI] [PMC free article] [PubMed]
  • 17.Nair H, Nokes DJ, Gessner BD, Dherani M, Madhi SA, Singleton RJ, et al. Global burden of acute lower respiratory infections due to the respiratory syncytial virus in young children: a systematic review and meta-analysis. Lancet. 2010;375:1545–55. [DOI] [PMC free article] [PubMed]
  • 18.Shafik C, Mohareb E, Yassin AS, Amin MA, El Kholy A, El-Karaksy H, et al. Viral etiologies of lower respiratory tract infections among Egyptian children under five years of age. BMC Infect Dis. 2012;12:350–8. [DOI] [PMC free article] [PubMed]
  • 19.Hess B, DeSimone J. Non-influenza Respiratory Viruses. In: Moudgal V, editor. Hospital Physician Infectious Diseases Board Review Manual. 13. Wayne: Turner White Communications Inc.; 2012. pp. 5–16. [Google Scholar]
  • 20.WHO Initiative for Vaccine Research . Respiratory syncytial virus and parainfluenza viruses. 2009. [Google Scholar]
  • 21.Durbin A, Karron R. Progress in the Development of Respiratory Syncytial Virus and Parainfluenza Virus Vaccines. Clin Infect Dis. 2003;37:1668–77. 10.1086/379775. [DOI] [PubMed]
  • 22.Meerhoff TJ, Simaku A, Ulqinaku D, Torosyan L, Gribkova N, Shimanovich V, et al. Surveillance for severe acute respiratory infections (SARI) in hospitals in the WHO European region – an exploratory analysis of risk factors for a severe outcome in influenza-positive SARI cases. BMC Infect Dis. 2015;15:1. [DOI] [PMC free article] [PubMed]
  • 23.Moesker FM, van Kampen JJA, van Rossum AMC, de Hoog M, Koopmans MP, Osterhaus AD, et al. Viruses as Sole Causative Agents of Severe Acute Respiratory Tract Infections in Children. PLoS One. 2016;11(3):e0150776. 10.1371/journal.pone.0150776. [DOI] [PMC free article] [PubMed]
  • 24.Henrickson KJ, Hall CB. Diagnostic assays for respiratory syncytial virus disease. Pediatr Infect Dis J. 2007;26(11):S36–S40. doi: 10.1097/INF.0b013e318157da6f. [DOI] [PubMed] [Google Scholar]
  • 25.Falsey AR, Criddle MC, Walsh EE. Detection of respiratory syncytial virus and human metapneumovirus by reverse transcription polymerase chain reaction in adults with and without respiratory illness. J Clin Virol. 2006;35(1):46–50. doi: 10.1016/j.jcv.2005.04.004. [DOI] [PubMed] [Google Scholar]
  • 26.Hasegawa K, Jartti T, Mansbach JM, Laham FR, Jewell AM, Espinola JA, et al. Respiratory Syncytial Virus Genomic Load and Disease Severity Among Children Hospitalized With Bronchiolitis: Multicenter Cohort Studies in the United States and Finland. J Infect Dis. 2014;211:1550–9. [DOI] [PMC free article] [PubMed]
  • 27.Jansen RR, Wieringa J, Koekkoek SM, Visser CE, Pajkrt D, Molenkamp R, et al. Frequent detection of respiratory viruses without symptoms: toward defining clinically relevant cutoff values. J Clin Microbiol. 2011;49:2631–6. [DOI] [PMC free article] [PubMed]
  • 28.Adams O, Weis J, Jasinska K, Vogel M, Tenenbaum T. Comparison of human metapneumovirus, respiratory syncytial virus and Rhinovirus respiratory tract infections in young children admitted to hospital. J Med Virol. 2015;87:275–280. doi: 10.1002/jmv.24025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Oshansky CM, Gartland AJ, Wong SS, Jeevan T, Wang D, Roddam PL, et al. Mucosal immune responses predict clinical outcomes during influenza infection independently of age and viral load. Am J Respir Crit Care Med. 2014;189:449–62. [DOI] [PMC free article] [PubMed]
  • 30.SacËkesen C, Pinar A, Sekerel B, Akyon Y, SaracËlar Y. Use of polymerase chain reaction for detection of adenovirus in children with or without wheezing. Turk J Pediatr. 2005;47(3):227. [PubMed] [Google Scholar]
  • 31.Williams JV, Harris PA, Tollefson SJ, Halburnt-Rush LL, Pingsterhaus JM, Edwards KM, et al. Human metapneumovirus and lower respiratory tract disease in otherwise healthy infants and children. New Eng J Med. 2004;350(5):443–50. [DOI] [PMC free article] [PubMed]
  • 32.Walsh EE, Peterson DR, Falsey AR. Human metapneumovirus infections in adults: another piece of the puzzle. Arch Intern Med. 2008;168(22):2489. doi: 10.1001/archinte.168.22.2489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Ali S, Williams J, Chen Q, Faouri S, Shehabi A, Jundi EA, et al. Human metapneumovirus in hospitalized children in Amman, Jordan. J Med Virol. 2010;82(6):1012–6. [DOI] [PMC free article] [PubMed]
  • 34.Al-Thani A, Azzam S, Abubakar H, Abdel-Hadi F, Elsheikh M, Janahi I. The role of human metapneumovirus in pediatric respiratory tract infection in Qatar. Futur Virol. 2010;5(3):355–360. doi: 10.2217/fvl.10.13. [DOI] [Google Scholar]
  • 35.Feikin DR, Njenga MK, Bigogo G, Aura B, Aol G, Audi A, et al. Etiology and Incidence of Viral and Bacterial Acute Respiratory Illness among Older Children and Adults in Rural Western Kenya, 2007-2010. PLoS One. 2012;7(8):e43656. [DOI] [PMC free article] [PubMed]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.


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