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Journal of Clinical Medicine logoLink to Journal of Clinical Medicine
. 2022 Jun 3;11(11):3197. doi: 10.3390/jcm11113197

Age-Specific Characteristics of Adult and Pediatric Respiratory Viral Infections: A Retrospective Single-Center Study

Jae Kyoon Hwang 1,, Jae Yoon Na 2,, Jihye Kim 2, Jae-Won Oh 1,3, Yong Joo Kim 2,3, Young-Jin Choi 1,*
Editors: Célia F Rodrigues, Andrew Bentley
PMCID: PMC9181129  PMID: 35683584

Abstract

This study aimed to identify age-specific characteristics of respiratory viral infections. Hospitalized patients with confirmed viral respiratory infections were included in the sample. The patients were divided into the pediatric group (<19 years old) and the adult group (≥19 years old). The groups were then subdivided based on age: 0–6, 7–12, 13–18, 19–49, 50–64, and ≥65 years old. These groups were compared to evaluate the differences in the pattern of respiratory viral infections. Among a total of 4058 pediatric patients (mean age 3.0 ± 2.9 years, n = 1793 females), 2829 (48.9%) had mono-infections, while 1229 (51.1%) had co-infections. Co-infections were the most common in the 0–6-year-old group (31.6%). Among 1550 adult patients (mean age 70.2 ± 15.3 years, n = 710 females), 1307 (85.6%) had mono-infections and 243 (14.4%) had co-infections. Co-infections were most common in the ≥65-year-old group (16.8%). Viral infection and co-infection rates decreased with age in pediatric patients but increased with increasing age in adults. In pediatric patients, the rates of viral infections and co-infections were high; the rate of co-infections was higher in younger patients. In adult patients, the rates of viral infections and co-infections were lower than those in pediatric patients; the rate of co-infections was higher in older patients.

Keywords: age-specific characteristics, respiratory virus, viral infections, co-infection

1. Introduction

In recent years, concerns regarding the spread of infectious diseases have increased due to the outbreaks of H5N1 avian influenza, severe acute respiratory syndrome (SARS), and, in particular, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or COVID-19 pandemic. In this context, there is growing interest in the patterns of viral infectious diseases [1,2]. Acute respiratory viral infections are the most common infectious diseases in children, accounting for 30–50% of outpatient visits and 20–40% of hospital admissions among pediatric patients [3,4,5].

Worldwide, acute respiratory viral infections kill millions of pediatric patients each year [4,6]. Recently, viruses have been reported to be more commonly detected than bacteria as the cause of pneumonia among adults; additionally, similarly to bacteria, viruses can cause severe pneumonia [7]. According to a recent prospective study, viral infections were detected in 38% of adult patients with lower respiratory tract infections, which was 11% higher than the proportion for which bacterial infections were responsible [8]. Another study revealed that, among adult patients diagnosed with viral pneumonia, the mortality rate during hospitalization amounted to 7.9% [9]. Additionally, the mortality rate due to viral infection was reported to vary from 2–17%, which is higher than that associated with bacterial pneumonia [9,10,11,12].

While respiratory viral infections are of great concern in both pediatric patients and adults, the pattern and form of disease differ between the two groups. Even within the same group, there are differences based on age [11]. In this study, we aimed to evaluate the differences in the patterns of viral infections in pediatric patients and adults. Patients admitted to a single university hospital with worsening respiratory symptoms over the past 5 years were classified by age, to investigate the differences in the characteristics between the groups. In addition, we subdivided and grouped pediatric and adult patients by age, to identify the characteristics of each group. Additionally, the distribution of the virus and the ratios of single infections and co-infections were evaluated. These findings are intended to help to identify the age-specific characteristics of viral infections and to offer advice regarding appropriate countermeasures, given the high possibility of various viral infection pandemics in the future.

2. Materials and Methods

2.1. Participant Recruitment

Patients were recruited from those who were hospitalized with respiratory symptoms, including dyspnea, cough, sputum, and fever (body temperature exceeding 38 °C), in the Hanyang University Guri Hospital from 1 January 2015 to 31 December 2019. After the COVID-19 pandemic, it was thought that analysis would be difficult because other virus infections sharply declined due to wearing masks, so only those patients hospitalized up to 2019 were recruited.

First, the patients were divided into a pediatric group and an adult group (≥ 19 years old). Furthermore, the pediatric and adult groups were each subdivided into three groups, based on age: 0–6, 7–12, 13–18, 19–49, 50–64, and ≥65 years old. In pediatric patients, the ages were based on the level of schooling (i.e., preschool, elementary school, and middle/high school); among adults, ages were based on the level of social activity (Figure 1).

Figure 1.

Figure 1

Enrollment and grouping of study patients, according to inclusion and exclusion criteria.

2.2. Inclusion and Exclusion Criteria

Among the recruited patients, those with confirmed respiratory virus infections were selected for inclusion. Hospitalized patients with lung cancer, pneumothorax, and surgical disease as the cause of their respiratory symptoms were excluded from the sample. Additionally, patients requiring outpatient treatment for influenza of low severity were excluded, and only patients with severe influenza who were admitted to the hospital were included; therefore, the number of reported cases was lower than the actual number of infected patients (see Figure 1).

2.3. Viral Testing

For hospitalized patients with respiratory symptoms, testing for viral infections was performed on the first day of hospitalization, using the nasal swabbing method. Tests for 12 viruses were conducted, including adenovirus, influenza A and B viruses, human metapneumovirus (HMPV), human coronavirus (HCoV), parainfluenza virus, respiratory syncytial virus (RSV) types A and B, human rhinovirus, and human bocavirus (HBoV). All viruses were detected using a multiplex real-time (RT)-PCR assay (Allplex TM Respiratory Panel 1, 2, 3, Seegene, Seoul, Korea). The patients were diagnosed as being positive for infection if they had positive test results for at least one of the subtypes.

2.4. Definitions

2.4.1. Viral Infection Rate

The infection rate was defined as the ratio of the total number of patients with a confirmed viral infection to the total number of patients hospitalized for respiratory symptoms. Regardless of the virus type, all cases were included in the analysis of viral infections. The number of patients hospitalized for respiratory symptoms was counted on a daily basis, and the number of confirmed viral infections was counted to determine the infection rate. The infection rate was calculated as the ratio of these two numbers.

2.4.2. Co-Infection

Co-infection was defined as the confirmed presence of two or more different viruses. Viruses of different subtypes were defined as one infection.

2.5. Data Collection

The medical records from the charts of patients hospitalized in Hanyang University Guri Hospital from 1 January 2015 to 31 December 2019 were retrospectively reviewed. Gender, age, chief complaints at admission, underlying disease, and respiratory virus test findings of the enrolled patients were collected from the medical records.

2.6. Statistical Analysis

We collected and analyzed the data using an electronic spreadsheet. Descriptive statistics were used to analyze demographic data. Continuous variables were presented as mean ± standard deviation. The statistical analysis was performed using IBM SPSS Statistics, version 21.0 (IBM Co., Armonk, NY, USA).

3. Results

3.1. Demographic Characteristics

A total of 13,283 patients were hospitalized for respiratory symptoms over the 5-year study period; 7055 (mean age: 69.4 ± 15.4 years, n = 2760 females) and 6228 (mean age 3.6 ± 3.6 years, n = 2749 females) were adult and pediatric patients, respectively. Confirmed respiratory viruses were detected in 1550 adult patients (mean age 70.2 ± 15.3 years, n = 710 females) and 4058 pediatric patients (mean age 3.0 ± 2.9 years, n = 1793 females) (Table 1).

Table 1.

Demographic characteristics.

N Age, yrs Sex (M:F)
Total pediatric patients 6228 3.6 ± 3.6 3479:2749
0–6 years old 5125 2.2 ± 1.8 2869:2256
6–12 years old 878 9.0 ± 1.6 500:378
12–18 years old 225 14.6 ± 1.6 110:115
Pediatric patients infected 4058 3.0 ± 2.9 2265:1793
0–6 years old 3614 2.2 ± 1.6 2010:1604
6–12 years old 374 8.7 ± 1.6 217:157
12–18 years old 70 14.2 ± 1.2 38:32
Total adult patients 7055 69.4 ± 15.4 4295:2760
19–49 years old 781 38.0 ± 9.2 461:140
50–64 years old 1516 57.9 ± 4.1 975:541
≥65 years old 4758 78.1 ± 7.1 2859:1899
Adult patients infected 1550 70.2 ± 15.3 840:710
19–49 years old 151 36.6 ± 9.7 84:67
50–64 years old 309 57.8 ± 4.0 163:146
≥65 years old 1090 78.3 ± 7.2 593:497

Note. Data are presented as numbers or means ± standard deviation.

3.2. Types of Viruses Detected

Various respiratory viruses were identified via diagnostic testing among the hospitalized patients. In pediatric patients, the most commonly identified virus was rhinovirus (n = 1480), followed by adenovirus (n = 1113), RSV (n = 716), parainfluenza (n = 547), HboV (n = 545), influenza (n = 443), HMPV (n = 302), and HCoV (n = 250).

In adult patients, the most commonly identified virus was influenza (n = 435), followed by rhinovirus (n = 428), RSV (n = 185), HCoV (n = 183), HMPV (n = 152), parainfluenza (n = 141), adenovirus (n = 99), and HBoV (n = 16).

3.3. Viral Infection Rates

The distribution of viral infection rates varied between adult and pediatric patients. The rhinovirus infection rate was highest in children, while the influenza infection rate was highest in adults, followed by that of rhinovirus infection. When each group of children and adults was subdivided by age and further analyzed for comparison, there was a difference in the infection rate (see Table 2, Figure 2).

Table 2.

Distribution of different types of viral infection rates detected in adult and pediatric patients, according to age.

Virus Infection Rate
0–6 yrs 7–12 yrs 12–18 yrs 19–49 yrs 50–64 yrs ≥65 yrs
Influenza 0.09 0.26 0.31 0.23 0.34 0.27
ParaIinfluV 0.14 0.08 0.07 0.05 0.08 0.10
RSV 0.19 0.03 0.03 0.09 0.08 0.14
Corona 0.06 0.05 0.02 0.09 0.10 0.13
Adeno 0.27 0.28 0.26 0.15 0.07 0.05
Rhino 0.37 0.35 0.39 0.35 0.29 0.26
Hboca 0.14 0.06 0.01 0.01 0.02 0.01
MPV 0.08 0.04 0.03 0.12 0.08 0.10

Note. Bold font denotes the highest infection rate.

Figure 2.

Figure 2

(a) Distribution of different types of viral infection rate detected in adult and pediatric patients. (1) The rhinovirus infection rate was highest in children. (2) The influenza infection rate was highest in adults, followed by rhinovirus infection. (b) Distribution of different types of viral infection rate detected, based on age categorization in adults. (1) The influenza infection rate was highest in the group of adults over 50 years, while the rhinovirus infection rate was highest in the groups of 19–49-year-olds. (c) Distribution of different types of viral infection rate detected, based on age categorization in pediatrics. (1) The rhinovirus infection rate was high in children of all age groups.

Among the pediatric patients, respiratory viral infection was confirmed in 65.2% of the cases (n = 4058/6228). Among them, the viral infection rate decreased with increasing age: 70.5%, 42.6%, and 31.3% in the groups of 0–6, 7–12, and 13–18 years old, respectively.

Among adult patients, respiratory viral infection was confirmed in 22.0% of cases (n = 1550/7055); 19.3%, 20.4%, and 22.9% were in the groups who were 19–49, 50–64, and ≥65 years old, respectively, suggesting that the viral infection rate increased with increasing age.

When comparing pediatric patients aged 0–6 years old and adults aged ≥65 years old, there was a similar distribution shown for the viral infection rate (see Figure 3).

Figure 3.

Figure 3

Comparison of respiratory viral infection rates in pediatric patients of 0–6 years of age and adults over 65 years of age with a high infection rate. Both graphs show a similar pattern.

3.4. Co-Infection

Of the 4058 pediatric patients, 2829 (48.9%) had a mono-infection and 1229 (51.1%) had co-infections (two viruses: n = 1006; three viruses: n = 202; > four viruses: n = 21).

Co-infection was the most common in the group aged 0–6 years old (31.6%), followed by those aged 7–12 years old and those aged 13–18 years old (19.8% and 17.1%, respectively).

Of the 1550 adult patients, 1307 (85.6%) had a mono-infection, and 243 (14.4%) had co-infections (two viruses: n = 227; three viruses: n = 16)

Co-infection was most common in individuals aged ≥65 years old (16.8%), followed by those aged 50–64 years old and 19–49 years old (12.6% and 9.3%, respectively). The infection and co-infection rates decreased with age in pediatric patients and increased with age in adult patients (see Table 3).

Table 3.

Virus infection patterns (infection rate, co-infection rate).

Infection Rate 1 Virus
Infected
2 Viruses
Co-Infected
3 Viruses
Co-Infected
≥4 Viruses
Co-Infected
Pediatric patients 4058/6228 (65.2%) 2829 (48.9%) 1006 (17.4%) 202 (3.5%) 21 (0.3%)
0–6 years 3614/5125 (70.5%) 2471 (68.4%) 929 (25.7%) 193 (5.3%) 21 (0.6%)
7–12 years 374/878 (42.6%) 300 (80.2%) 65 (17.4%) 9 (2.4%) 0
13–18 years 70/225 (31.1%) 58 (82.9%) 12 (17.1%) 0 0
Adult patients 1550/7055 (22.0%) 1304 (84.1%) 237 (15.3%) 19 (1.2%) 0 (0%)
19–49 years 151/781 (19.3%) 137 (90.7%) 9 (6.0%) 5 (3.3%) 0
50–64 years 309/1516 (20.4%) 260 (84.1%) 47 (15.2%) 2 (0.6%) 0
≥65 years 1090/4758 (22.9%) 907 (85.3%) 181 (16.6%) 12 (1.1%) 0

Note: Data are presented as numbers and proportions.

The most common combination of viruses in children was adenovirus + rhinovirus co-infection (n = 181), followed by RSV + rhinovirus co-infection (n = 92) and HBoV + rhinovirus co-infection (n = 88). The most common combination of viruses in adults was influenza + rhinovirus co-infection in patients aged over 65 years old (n = 21) and influenza + HCoV in those aged under 65 years old (n = 14).

The most common combinations of three viruses in children was of adenovirus + rhinovirus + HBoV (n = 37), followed by parainfluenza + rhinovirus + HboV (n = 16) and parainfluenza + rhinovirus + HboV (n = 14). The most common combination of 4 or more viruses was of parainfluenza + adenovirus + rhinovirus + HBoV.

4. Discussion

The results of the present study revealed differences in the patterns of respiratory viral infections between pediatric patients and adult patients. When pediatric patients and adult patients were grouped based on age, there was a difference in respiratory viral infection patterns. Among pediatric patients, the proportion of rhinovirus cases was the highest among all respiratory viral infections, while the proportion of influenza cases was the highest in adult patients. Furthermore, we found that a younger age in the adult group was associated with a higher proportion of rhinovirus cases, while older age was associated with a higher proportion of influenza cases. Even among adults, there was a difference in the proportion of the type of virus identified, based on age.

Since our study was conducted among hospitalized patients, our results are not due to the actual difference in viral infection rates based on age. It can be thought of as the rate of infection with a virus that causes a worsening of symptoms that is severe enough to require hospitalization. In young children, a virus that is known to cause mild upper respiratory symptoms, such as rhinovirus, also causes the aggravation of respiratory symptoms and requires hospitalization. However, in adults, symptoms are exacerbated by viruses such as influenza.

In our pediatric patient cohort, while the rate of viral infections among patients with respiratory symptoms was high, the rate of co-infections was also high; younger age was associated with a higher rate of co-infections. Among adults, the rate of viral infections among patients with respiratory symptoms was lower than that among pediatric patients and the rate of co-infections was also lower. In addition, among adults, the rate of co-infections was higher among older patients.

These findings may be due to the nature of the respiratory tract in children and the weak respiratory protective immunity of younger children, as compared to adults and older children [13,14]. They may also be due to age-associated changes in immune responses that occur as a consequence of advanced age [15]. In addition, recent studies have demonstrated that exposure to air pollution and pollen affects viral infection [16,17]. This difference in the environment of the patients also affects the degree and type of viral infection. Previous studies showed that co-infections are as common as mono-infections in pediatric patients [18,19,20], and reported co-infection was approximately 30% in pediatric patients and 5% in adults [20,21]. Similarly, in our study, co-infections were more common than mono-infections in children [20]. However, the rate of co-infections in both pediatric patients and adult patients was higher than that reported in previous studies. These previous studies also found that the severity and hospitalization rates were higher in cases with co-infections [19,20,21]. Since we focused on hospitalized patients, only patients with high-severity illnesses were included, which may have resulted in the finding of a high co-infection rate.

There was a greater proportion of cases with co-infection than of mono-infection in pediatric patients. The co-infection and viral infection rates were the highest among those aged 0–6 years old. This result may be due to the fact that such patients are frequently exposed to various types of viruses due to exposure to other children in daycare and/or kindergarten. However, among adults, the co-infection rate was higher in the elderly, who are less active and are less likely to come into contact with other infected individuals. This finding suggests that co-infection is affected not only by the frequency of contact or the diversity of contact but also by the patient’s overall health or immune status. Previous studies reported that virus co-infection rates increase when receiving immunosuppressive therapy [19]. In addition, it was found that various factors affect co-infections. Co-infections may be determined based on the type of virus [21]. Adenovirus was reported to have a surprisingly high prevalence among the different types of co-infections, especially in pediatric patients, while influenza virus B had the lowest prevalence [20,21].

Evaluating the age-dependence of different viral infections will be helpful in suggesting different countermeasures for patients with respiratory symptoms according to age. Therefore, further large-scale, well-characterized cohort studies are needed to demonstrate a more accurate age-dependence characteristic for different viral infection rates.

The present study has several limitations. First, as our research was a single-center study, there are regional and time limitations. Second, we analyzed a limited number of cases, as only patients with severe illness who required hospitalization were included in the sample. Third, it is not clear whether the detected virus actually acted as a pathogen or was a virus that colonized the upper respiratory tract. In one study of healthy children, the intranasal virus positivity rate was reported as 40% for rhinovirus, 20% for enterovirus, 10% for bocavirus, and 5% for adenovirus [22]. Therefore, there is a compelling need to perform multi-center studies with common protocols, which would last several years and would measure the viral load for different viruses in co-infections. Comparisons of viral detection in a control group with asymptomatic children may help to better understand which viruses can be innocent rhinopharyngeal colonizers.

Despite these limitations, our results confirmed that there are age-specific characteristics in viral infection among hospitalized patients with respiratory symptoms. While previous studies revealed the difference in viral infection between children and adults, few of those studies grouped children or adults by age and compared them. Our attempt to do so has confirmed that there are meaningful differences in the virus infection patterns within child and adult groups.

There is evidence that people with underlying diseases such as heart disease, chronic lung disease, malignancy, diabetes, and chronic kidney disease can die from fatal respiratory complications [10,23]. Respiratory virus infections can rapidly spread within communities and can cause serious social and economic losses, as has been observed as a result of influenza, SARS, and, particularly, the recent COVID-19 pandemic. Therefore, it is important to understand the patterns of viral infections. The results of the present study can help to understand the characteristics of age-specific viral infections, although a more extensive study would be necessary to clarify this issue.

5. Conclusions

In this study, we found differences in the patterns of respiratory viral infections between pediatric and adult patients. In pediatric patients, the rate of viral infections among those with respiratory symptoms was high, as was the rate of co-infections. Younger age was found to be associated with a higher rate of co-infection in pediatric patients. Among adults, the rate of viral infections among those with respiratory symptoms was lower than that among pediatric patients, as was the rate of co-infections. Older age was found to be associated with a higher rate of co-infection in adult patients. These characteristics of age-specific viral infections provide important clinical implications for virus prevention and treatment.

Author Contributions

J.K.H. and J.Y.N. contributed equally to this work. Preparation, creation, and presentation of the published work by those from the original research group, specifically in critical review, commentary, or revision—including pre- or post-publication stages. Y.-J.C. and J.K. conceptualized and designed the study, drafted the initial manuscript, and reviewed and revised the manuscript. Y.J.K. and J.-W.O. designed the data collection instruments, collected the data, carried out the initial analyses, and reviewed and revised the manuscript. Y.-J.C. and J.-W.O. conceptualized and designed the study, coordinated and supervised data collection, and critically reviewed the manuscript for important intellectual content. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

This study was approved by the Institutional Review Board (IRB) of Hanyang University Guri Hospital, Gyunggi-Do, South Korea (IRB No. 2022-01-007).

Informed Consent Statement

The requirement for written informed consent was waived due to the retrospective study design.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to restrictions e.g., privacy or ethical.

Conflicts of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Funding Statement

This research received no external funding.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

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

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to restrictions e.g., privacy or ethical.


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