Literature DB >> 25812108

Viral etiology of community-acquired pneumonia among adolescents and adults with mild or moderate severity and its relation to age and severity.

Jiu-Xin Qu, Li Gu, Zeng-Hui Pu, Xiao-Min Yu, Ying-Mei Liu, Ran Li, Yi-Min Wang, Bin Cao, Chen Wang.   

Abstract

BACKGROUND: Better knowledge of distribution of respiratory viruses (RVs) in adolescents and adults with community-acquired pneumonia (CAP) is needed.
METHODS: To investigate the RVs etiology among adolescents and adults with CAP, according to age and pneumonia severity index (PSI), a multi-center, prospective study was conducted from November 2010 to April 2012. Fifteen RVs were tested by polymerase chain reaction (PCR). Bacteria were detected by urinary antigen, conventional culture and PCR.
RESULTS: Mean (SD) age and median (IQR) PSI score of 954 patients enrolled was 45.2 (19.5) years (range 14-94) and 42 (36). RVs were found in 262 patients (27.5%): influenza virus A (IFV A, 9.9%) comprised of pandemic H1N1 (6.7%) and seasonal H3N2 (3.5%), human rhinovirus (4.3%), adenovirus (4.2%), human metapneumovirus (1.8%), parainfluenza virus 1, 3 and 2 (1.7%, 1.5% and 1.2%). Influenza virus B, enterovirus, respiratory syncytial virus, human coronavirus and parainfluenza virus 4 were rarely detected (<1%). Frequency of IFV A was highest among patients aged between 45-64 years (p < 0.001), while adenovirus among patients aged 14-17 years (p < 0.001), no differences was found in other RVs. The proportion of pandemic H1N1 increased with severity of pneumonia evaluated by PSI (P < 0.05).
CONCLUSIONS: The proportion of RVs in CAP is higher than previously reported. IFV A pneumonia are usually found in patients older than 45 years, while, adenovirus pneumonia are common in adolescents and young adults. Pandemic H1N1 virus is still recognized by PSI as a high-severity pathogen. The findings contribute baseline data on viral CAP study in China.

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Mesh:

Year:  2015        PMID: 25812108      PMCID: PMC4342096          DOI: 10.1186/s12879-015-0808-0

Source DB:  PubMed          Journal:  BMC Infect Dis        ISSN: 1471-2334            Impact factor:   3.090


Background

Community-acquired pneumonia (CAP) remains a common disease associated with significant morbidity and mortality. Mortality varied from <1% to 48% and is associated with advanced age, co-morbid conditions, and CAP severity [1]. Clear etiology is essential for the management of CAP patients [2]. Although CAP guidelines acknowledge respiratory viruses (RVs) as a “cause” of adults pneumonia [3], few recommendations are made regarding management, largely due to the short of data regarding prevalence and clinical severity, as most relevant data concern infants and children [4,5]. In addition, the emergence of severe acute respiratory syndrome (SARS), avian influenza A (H5N1) virus, and the pandemic influenza A 2009 (pH1N1) virus has emphasized the important role of RVs as causes of CAP [6]. Thus, much better knowledge of the potential role of RVs present in adolescents and adults patients with pneumonia is needed. In general, compared to conventional viral diagnostic methods (culture, antigen detection, and serological assays), PCR-based methods are 2–5 times more sensitive to detect RVs [6]. Moreover, use of PCR has augmented detection of viruses that are difficult to identify with conventional methods, including human rhinovirus (HRV), human coronavirus (hCoV), human metapneumovirus (hMPV), and human bocavirus [7,8]. Recently, development of several multiplex assays has enabled simultaneous detection of up to 15 different viruses, and use of these tests is becoming standard for identification of respiratory viruses [9-11]. In an attempt to better characterize the viral etiology of CAP in adolescents and adults, a multi-center, prospective surveillance was conducted in 12 general hospitals of Beijing, from November 2010 to April 2012, using a multiplex RT-PCR assay covering all common RVs associated with CAP [12]. We also sought to evaluate age and severity of disease related to different pathogens.

Methods

Study setting and design

A prospective study was conducted in 12 general hospitals in Beijing, covering 80% of 30 million citizens, as described in former report [13]. Between November 2010 and April 2012, patients (aged 14 years or above) who came to the hospitals during daytime and met the inclusion criteria of CAP [3] were enrolled. Patients with HIV infection; neutropenia or chemotherapy; pregnant; known or suspected active tuberculosis, no informed consents or specimens were excluded. The study was approved by institutional review board in Beijing Chao-Yang Hospital (project approval number: 10-KE-49). Written informed consents were provided by all adults and the parents of patients aged less than 18 years.

Patient characteristics and CAP scoring system

The following data were recorded on enrollment: age, gender, smoking status, comorbid illnesses and antimicrobial treatment prior to enrollment, duration of symptoms prior to visit, clinical symptoms, physical examination, chest X-ray or computed tomography (CT) scan pattern, blood analysis and antimicrobial and antiviral treatment. All surviving patients were followed-up by telephone after discharge for four weeks, symptoms and signs were recorded daily. Pneumonia severity index (PSI) score classes were assigned according to the authors’ original designations [14]. PSI classes were specified as follows: low risk = I-II, moderate risk = III, high risk = IV-V.

Microbiological evaluation

Microbiological examination was performed in throat swab, sputum, urine and blood, at the central laboratory (Clinical Microbiological Laboratory of Beijing Chao-Yang Hospital). The etiology was considered definite if one of the following criteria was met: (1) positive urinary antigen for Legionella pneumophila (LP, Binax Now L pneumophila urinary antigen test; Trinity Biotech, Bray, Ireland); (2) positive urinary antigen for Streptococcus pneumoniae (Binax Now S pneumoniae urinary antigen test; Emergo Europe, The Netherlands); (2) positive bacterial culture from blood. The etiology was considered probable if one of the following criteria was met: (1) detection of RVs in throat swabs by RT-PCR using a Seeplex RV Detection Kit (Seegene Biotechnology Inc., Seoul, Korea) according to manufacturer’s instructions, including respiratory syncytial virus (RSV) types A and B, influenza virus (IFV) types A and B, parainfluenza virus (PIV) types 1, 2, 3 and 4, HRV, enterovirus (EV), hCoV types 229E, NL63, OC43 and HKU1, hMPV, and adenovirus (AdV), bocavirus; (2) purulent sputum (defined as an adequate quality sputum sample with > 25 leukocytes and < 10 epithelial cells per × 100 magnification field) with compatible findings of Gram staining; (3) detection of Mycoplasma pneumoniae (MP) in throat swabs by PCR as previously reported [15].

Statistical analysis

Categorical variables were described with counts and percentages. Data for continuous variables were presented as mean (SD) or median (IQR) where appropriate. The proportions of individuals in each age and PSI groups diagnosed with each pathogen of interest were compared using χ2 tests (SPSS for Windows 13.0).

Results

Patient characteristics

As seen in Figure 1, a total of 1013 adult CAP patients met the criteria were screened. Because of failing in sampling or follow-up, or confirmed with tuberculosis or non-pneumonia diseases (including lung cancer and etc.), 59 patients were excluded. Finally, etiological and clinical analysis was conducted on 954 patients (94.2%), and 56.6% were males. The mean (SD) age was 45.2 (19.5) years (range 14–94), 184 (19.4%) were aged ≥ 65 years.
Figure 1

Participants screening and enrollment.

Participants screening and enrollment. The main demographic and clinical characteristics of the study population are summarized in Table 1. One hundred and eighty-four (19.3%) patients had comorbidities record, such as coronary heart diseases (8.1%), diabetes (7.6%), chronic obstructive pulmonary disease (2.3%) and etc. 254 (26.6%) patients had smoking history. Within one year, 40 (4.2%) and ten (1%) patients had received influenza and streptococcus pneumonia vaccine. Six hundred and twenty-seven (65.7%) patients were hospitalized, including six (0.6%) in ICUs. Six hundred and twenty-five patients (65.5%) had received antimicrobial treatment prior to enrollment. Common symptoms of the patients were fever (92%), cough (91.7%) and sputum production (70.4%). After admission, 918 patients (96.2%) and 26 patients (2.7%) received antimicrobial and antiviral treatment. Median (IQR) score of PSI was 42 (36). Four patients (0.4%) died within four weeks.
Table 1

Epidemiological and clinical characteristics of study population

Characteristics n (%)
Total number of patients954
Demographic data
 Age (years), mean ± SD45.2 ± 19.5
 Gender male540 (56.6)
 Comorbidities184 (19.3)
  Coronary heart diseases77 (8.1)
  Diabetes73 (7.6)
  Chronic obstructive pulmonary disease22 (2.3)
  Smoking (present or past)254 (26.6)
 Influenza vaccine received within 1 year40 (4.2)
Streptococcus pneumonia vaccine received within 1 year10 (1)
Site of care
 Outpatients327 (34.3)
 Inpatients627 (65.7)
 Ward621 (65.1)
 ICU6 (0.6)
Antibiotics received before enrollment625 (65.5)
Symptoms
 Fever878 (92)
 Tmax (°C), mean ± SD39.0 ± 0.7
 Cough875 (91.7)
 Sputum672 (70.4)
 Shortness of breath137 (14.4)
 Chest pain116 (12.2)
Laboratory findings
 Procalcitonin (n = 130), median (IQR)0.17 (0.42)
 C reactive protein (n = 671), median (IQR)42.5 (86.8)
 WBC count (×109/L), median (IQR)7.6 (4.7)
  WBC > 10 (×109/L)257 (26.9)
  WBC < 4 (×109/L)61 (6.4)
Antimicrobial treatment after enrollment
 Antibiotics918 (96.2)
 Antivirals26 (2.7)
Length of hospital stay (days)9 (6–14)
PSI, median (IQR)42 (36)
Death4 (0.4)
Epidemiological and clinical characteristics of study population

Distribution of pathogens

Etiological diagnoses were established in 393 patients (41.2%), as shown in Table 2. The positive rate of RVs was 27.5%. IFVA was dominant (9.9%, 94/954). There were 60 cases of pH1N1, 30 cases of seasonal H3N2 (sH3N2) and four cases of both subtypes. Seven patients infected with pH1N1 had received influenza vaccine within one year. The detection rate of HRV was 4.3%, and followed by AdV, 4.2%; hMPV, 1.8%; PIV1, 1.7%; PIV3, 1.5%; PIV2, 1.2%; and IFVB, EV, RSVs, hCoV and PIV4 were rarely detected (<1%). No bocavirus was detected.
Table 2

Etiology of study population with CAP

Pathogen identified n (%)
At least one pathogen393 (41.2)
Respiratory viruses (RVs)262 (27.5)
 Influenza virus A94 (9.9)
  Pandemic H1N1 (pH1N1)60 (6.3)
  Seasonal H3N2 (sH3N2)30 (3.1)
  pH1N1 and sH3N24 (0.4)
 Human rhinovirus41 (4.3)
 Adenovirus40 (4.2)
 Human metapneumovirus17 (1.8)
 Parainfluenza virus type 116 (1.7)
 Parainfluenza virus type 314 (1.5)
 Parainfluenza virus type 211 (1.2)
 Influenza virus B6 (0.6)
 Enterovirus5 (0.5)
 Respiratory syncytial virus type A5 (0.5)
 Respiratory syncytial virus type B4 (0.4)
 Human coronavirus types OC43/HKU14 (0.4)
 Human coronavirus types 229E/NL634 (0.4)
 Parainfluenza virus type 41 (0.1)
 Bocavirus0 (0)
Bacteria219 (23.0)
Mycoplasma pneumoniae 168 (17.6)
Legionella pneumophila 4 (0.4)
 Typical bacteria47

Data are expressed as n (%).

Etiology of study population with CAP Data are expressed as n (%). The positive rate of bacteria was 23%. Atypical bacterial pathogens, including Mycoplasma pneumoniae and Legionella pneumophila, were detected in 168 (17.6%) and four (0.4%) patients. Strectococcus pneumoniae was detected by urine antigen test in fifteen patients. In 533 CAP patients available with bacterial culture, typical bacterial pathogens were detected in 32 patients, mainly consisted of Klebsiella pneumoniae, Pseubomonas aeruginosa, Streptococcus pneumoniae and Haemophilus influenzae (data not shown). There were 257 patients with hyperleucocytosis, as shown in Table 1. Among these patients, 42 bacterial pathogens (including Mycoplasma pneumomniae, Streptococcus pneumoniae, Haemophilus influenzae and etc.) and 62 viral pathogens (including human rhinovirus, influenza virus A, adenovirus and etc.) were detected. Mean (SD) score of PSI of hyperleucocytosis group was significantly higher than that of non-hyperleucocytosis group (53.75 ± 25.03 v.s. 43.98 ± 25.37, p < 0.001). Two or more causative agents were found in 75 patients (7.9%), as shown in Table 3. The common associations among dual infections were: a RV and a bacterium in 48 cases (64%), two RVs in 11 cases (14.7%) and two bacteria in six cases (8%). Triple, quadruple and quintuple infections were detected. IFV A, detected in 26 cases, was the most frequently RV in co-infections. PIVs were co-detected in 23 cases, HRVs in thirteen, AdVs in eight, hCoVs in five, RSVs and hMPVs in four, IFVs B in three, and EV in one.
Table 3

Distribution of co-infections

Associations n (%)
Dual infections 65 (6.8)
RV + Bacterium 48
  IFV A + Bacterium 19
  HRV + Bacterium9
  PIVs + Bacterium8
  AdV + MP4
  hCoVs + MP2
  IFV B + MP2
  RSVs + MP2
  hMPV + Bacterium2
RV + RV 11
  IFV A + hCoVs2
  IFV A + PIVs2
  HRV + PIVs2
  hMPV + PIVs2
  AdV + RSV A1
  AdV + PIVs1
  AdV + hCoVs1
Bacterium + Bacterium 6
Triple infections 8 (0.84)
  IFV A (sH3N2) + PIV1 + PIV21
  IFV A (sH3N2) + PIV2 + PIV31
  IFV A (pH1N1) + two Bacteria1
  HRV + PIV1 + PIV31
  HRV + two bacteria1
  PIV1 + EV + bacterium1
  PIV1 + PIV3 + bacterium1
  IFV B + AdV + PIV31
Quadruple infection 1 (0.1)
  PIV1 + PIV3 + two bacteria1
Quintuple infections 1 (0.1)
  HRV + PIV1 + PIV2 + PIV3 + RSV B1
Total 75/954 (7.9)

Note: influenza virus (IFV) types A and B, human rhinovirus (HRV), adenovirus (AdV), human metapneumovirus (hMPV), parainfluenza virus (PIV) types 1, 2, 3 and 4, enterovirus (EV), respiratory syncytial virus (RSV) types A and B, human coronaviruses (hCoVs), Mycoplasma pneumoniae (MP).

Distribution of co-infections Note: influenza virus (IFV) types A and B, human rhinovirus (HRV), adenovirus (AdV), human metapneumovirus (hMPV), parainfluenza virus (PIV) types 1, 2, 3 and 4, enterovirus (EV), respiratory syncytial virus (RSV) types A and B, human coronaviruses (hCoVs), Mycoplasma pneumoniae (MP). Regarding on antiviral treatment, there were 16 patients received oseltamivir among 94 IFV A infections. The clinical analysis of antiviral treatment revealed that the median length of hospitalization of antiviral group was significantly shorter than that of non-antiviral group (5.5 days v.s. 8 days, p = 0.04). Two of the four dead patients were positive with pH1N1, the other two were positive with Streptococcus pneumoniae and Klebsiella pneumoniae, and Legionella pneumophila and human rhinovirus.

Microbial etiology in age groups

The study population was divided into four groups by age, 14 ~ 17 years (adolescents), 18 ~ 44 years (young adults), 45 ~ 64 years (old adults) and ≥ 65 years (elderly) as shown in Table 4, to look for pathogens more commonly associated with an age group. The microbial etiology was determined in 70%, 44.5%, 37.9% and 30.3% for four groups respectively (p < 0.001), and co-infection rate decreased (14%, 9%, 5.9% and 6.3% respectively). IFV A was more frequently found in old adults and elderly groups (p < 0.001). HRV was equally detected in all age groups. The frequency of AdV decreased according to the four groups (p < 0.001), and similar trend was found in PIV 2 (p = 0.053) and MP (p < 0.001). No hMPV was detected in adolescents, and no RSV or hCoV was found in adolescents and elderly adults. The frequencies of typical bacterial pathogens increased according to age group (p = 0.005).
Table 4

Etiology of CAP according to age

Etiology 14 ~ 17 yrs (n = 50) 18 ~ 44 yrs (n = 443) 45 ~ 64 yrs (n = 272) 65 ~ 94 yrs (n = 189) p value
At least one pathogen35 (70)197 (44.5)103 (37.9)58 (30.3)<0.001
Respiratory viruses (RV)15 (30)104 (23.5)72 (26.5)45 (23.8)0.651
 IFV Ad 2 (4)32 (7.2)38 (14)22 (11.6)<0.001
  pH1N12 (4)20 (4.5)24 (8.8)14 (7.4)0.743
  sH3N209 (2)14 (5.1)7 (3.7)
  pH1N1 and sH3N203 (0.7)01 (0.5)
 HRV2 (4)19 (4.3)13 (4.8)7 (3.7)0.962
 AdVabcd 7 (14)23 (5.2)5 (1.8)5 (2.6)<0.001
 HMPV06 (1.4)6 (2.2)5 (2.6)0.524
 PIV 12 (4)8 (1.8)2 (0.7)4 (2.1)0.236
 PIV 32 (4)7 (1.6)3 (1.1)2 (1.1)0.384
 PIV 21 (2)9 (2)1 (0.4)00.053
 IFV B1 (2)3 (0.7)1 (0.4)1 (0.5)0.495
 EV1 (2)3 (0.7)1 (0.4)00.301
 RSVA04 (0.9)1 (0.4)00.628
 RSV B04 (0.9)000.351
 HCoV OC43/HKU102 (0.5)2 (0.7)00.739
 HCoV 229E/NL6303 (0.7)1 (0.4)00.853
 PIV 401 (0.2)001.000
Bacteria26 (52)120 (27.1)44 (16.2)27 (14.3)
 MPabcde 25 (50)106 (23.9)24 (8.8)13 (6.9)<0.001
 LP1 (2)2 (0.5)1 (0.4)00.262
Typical bacteriacde 012 (2.7)19 (7)14 (7.4)0.005
Two or more pathogens7 (14)40 (9)16 (5.9)12 (6.3)0.141

Data are expressed as n (%).

a: p < 0.05, 14 ~ 17 yrs group vs 18 ~ 44 yrs group;

b: p < 0.05, 14 ~ 17 yrs group vs 45 ~ 64 yrs group;

c: p < 0.05, 14 ~ 17 yrs group vs 65 ~ 94 yrs group;

d: p < 0.05, 18 ~ 44 yrs group vs 45 ~ 64 yrs group;

e: p < 0.05, 18 ~ 44 yrs group vs 65 ~ 94 yrs group;

Note: influenza virus (IFV) types A and B, human rhinovirus (HRV), adenovirus (AdV), human metapneumovirus (hMPV), parainfluenza virus (PIV) types 1, 2, 3 and 4, enterovirus (EV), respiratory syncytial virus (RSV) types A and B, human coronavirus (hCoV) types 229E, NL63, OC43 and HKU1, Mycoplasma pneumoniae (MP) and Legionella pneumophila (LP).

Etiology of CAP according to age Data are expressed as n (%). a: p < 0.05, 14 ~ 17 yrs group vs 18 ~ 44 yrs group; b: p < 0.05, 14 ~ 17 yrs group vs 45 ~ 64 yrs group; c: p < 0.05, 14 ~ 17 yrs group vs 65 ~ 94 yrs group; d: p < 0.05, 18 ~ 44 yrs group vs 45 ~ 64 yrs group; e: p < 0.05, 18 ~ 44 yrs group vs 65 ~ 94 yrs group; Note: influenza virus (IFV) types A and B, human rhinovirus (HRV), adenovirus (AdV), human metapneumovirus (hMPV), parainfluenza virus (PIV) types 1, 2, 3 and 4, enterovirus (EV), respiratory syncytial virus (RSV) types A and B, human coronavirus (hCoV) types 229E, NL63, OC43 and HKU1, Mycoplasma pneumoniae (MP) and Legionella pneumophila (LP).

Microbial etiology according to severity score

To explore the association between pathogens and the severity score, patients were also separated into three groups according to severity score (PSI), as indicated in Table 5. In three groups, though pathogens detection rates were different, RVs ranked first (25.1%, 19.5% and 30.4%, respectively). All RVs were detected in low risk group. The frequency of IFV A increased along with severity (from 9.4% and 8.8% to 17.9%). Significant difference (p = 0.018) was found in subtypes of IFV A among PSI groups, especially for pH1N1 (p < 0.05). Similar trend was found in the distribution of typical bacterial pathogens (p = 0.001). The distributions of HRV, AdV and hMPV in three groups were comparable. The frequency of MP decreased in moderate- and high-risk groups, whereas that of the mixed etiology decreased first (5.3%), then increased (8.9%).
Table 5

Etiology of CAP according to PSI

PSI I-II (n = 785) PSI III (n = 113) PSI IV-V (n = 56) p value
At least one pathogen333 (42.5)35 (29)25 (44.6)0.219
Respiratory viruses (RV)197 (25.1)22 (19.5)17 (30.4)0.267
 IFV A74 (9.4)10 (8.8)10 (17.9)0.118
  pH1N1bc 42 (5.4)8 (7.1)10 (17.9)0.018
  sH3N228 (3.6)2 (1.8)0
  pH1N1 and sH3N24 (0.5)00
 HRV33 (4.2)5 (4.4)3 (5.4)0.854
 AdV36 (4.6)3 (2.7)1 (1.8)0.542
 HMPV14 (1.8)1 (0.9)2 (3.6)0.391
 PIV 115 (1.9)1 (0.9)00.668
 PIV 313 (1.7)01 (1.8)0.445
 PIV 210 (1.3)1 (0.9)01.000
 IFV B6 (0.8)001.000
 EV4 (0.5)1 (0.9)00.624
 RSVA4 (0.5)1 (0.9)00.624
 RSV B4 (0.5)001.000
 HCoV OC43/HKU14 (0.5)001.000
 HCoV 229E/NL634 (0.5)001.000
 PIV 41 (0.1)001.000
Bacteria187 (23.9)17 (15.1)13 (23.2)
 MPa 157 (20)6 (5.3)5 (8.9)<0.001
 LP2 (0.3)2 (1.8)00.146
Typical bacteriaab 28 (3.6)9 (8)8 (14.3)0.001
Two or more pathogens64 (8.2)6 (5.3)5 (8.9)0.562

Data are expressed as n (%).

a: p < 0.05, PSI I-II vs III;

b: p < 0.05, PSI I-II vs IV-V;

c: p < 0.05, PSI III vs IV-V;

Note: influenza virus (IFV) types A and B, human rhinovirus (HRV), adenovirus (AdV), human metapneumovirus (hMPV), parainfluenza virus (PIV) types 1, 2, 3 and 4, enterovirus (EV), respiratory syncytial virus (RSV) types A and B, human coronavirus (hCoV) types 229E, NL63, OC43 and HKU1, Mycoplasma pneumoniae (MP) and Legionella pneumophila (LP).

Etiology of CAP according to PSI Data are expressed as n (%). a: p < 0.05, PSI I-II vs III; b: p < 0.05, PSI I-II vs IV-V; c: p < 0.05, PSI III vs IV-V; Note: influenza virus (IFV) types A and B, human rhinovirus (HRV), adenovirus (AdV), human metapneumovirus (hMPV), parainfluenza virus (PIV) types 1, 2, 3 and 4, enterovirus (EV), respiratory syncytial virus (RSV) types A and B, human coronavirus (hCoV) types 229E, NL63, OC43 and HKU1, Mycoplasma pneumoniae (MP) and Legionella pneumophila (LP).

Discussion

To our knowledge, this is the largest scale investigation of common RV infections in China in adolescents and adults with CAP, using PCR-based method. The CAP patients in our group were different from other CAP studies with specific feathers as below, (1) young, mean (SD) age was 45.24 (19.478) years; (2) 82.3% of the patients’ PSI classes wereI-III; (3) low numbers of ICU admission and deaths; (4) 9 of 12 teaching hospitals functioned as primary care facilities. Our results indicated that 27.5% of CAP patients have evidence of viral infection. It has been generally assumed that for respiratory infections due to viruses, the optimal specimen is the nasopharyngeal aspirate, rather than throat swabs we used here [16]. Actually, the detection rate was higher than 22% reported by Ruuskanen O et al. [6] based on 2910 CAP patients from 10 studies, also higher than 5–20% reported by other studies that had not used PCR-based assays [17]. IFV A was the first ranking viral pathogen. Among 94 cases, 68 (72.3%) had IFV A as the only identified pathogen, 20 (21.3%) had co-infection with bacteria, and six (6.4%) had co-infection with other RVs. Similar with other reports [18,19], the analysis of subtypes of IFV A revealed that pH1N1 virus was circulating along with sH3N2 virus, as this surveillance was carried out from the post-pandemic period of pH1N1 [20]. It has been reported that younger age and more severe respiratory compromise are key features of patients with pH1N1-associated pneumonia compared with seasonal influenza pneumonia [21]. Here, oppositely, pH1N1 infected patients were mostly distributed in patients older than 45 years, which was coincident with the findings reported by Viasus D et al. [22]. This upward shift in age distribution is probably due to a higher seropositivity against A (H1N1) pdm09 virus in young adult patients. On the other side, although IFV A infected cases distributed through all PSI groups, all cases in high risk group were determined as pH1N1 (accounting for 16.7%, p < 0.05). And 93.3% of sH3N2 positive patients were found in low risk group, without high-risk cases. Two of four dead patients were caused by pH1N1. These findings suggest that the severity of pH1N1-associated CAP is still higher [22]. Four co-infection cases of pH1N1 and H3N2 were presented with PSI I-II, the reason was unclear. Further analysis of corresponding viral load and antiviral treatment might be needed. In agreement with our results (HRV, 4.3%), two recently reports using PCR assays suggested that HRV was important cause in CAP, with infection rates of 4.9% [23] and 7% [24]. Among 41 infections, 27 patients (65.9%) had HRV as the only identified pathogen, ten (24.4%) had co-infection with bacteria, and four (9.7%) had co-infection with other RVs. These results stand in contrast to those of previous studies, which reported that HRV commonly occurred with bacterial co-infection (approximately 41.9–57.1%) [25,26]. Moreover, it is reported that HRV single or mixed HRV /pneumococcal infection should be an independent cause of severe pneumonia [25-27]. In our study, oppositely, HRV infections occurred in all age and severity groups. The incidence of adenovirus was 4.2%, which was in the upper scale of the range of < 1% - 4% as reported [12]. Although most infected cases are self-limited, adenovirus is recognized as one of the first viruses clearly linked with pneumonia [12]. David Lieberman’s team had found that 1.6% of adults CAP patients caused by adenovirus, and no such cases had been detected in healthy controls or non-pneumonia low respiratory tract infection cohort [23]. Few studies reported on the co-infection of adenovirus with other pathogens, here, we found four with MP and four with other RVs, accounting for 20%. Lauderdalea et al. reported that all infections of AdV were found in 17–44 years-old patients [28]. Similarly, the incidence was significantly higher in adolescents and younger adults (p < 0.001). Regarding on other important viruses, the frequencies of PIVs, RSV, hMPV and HCoVs were lower than that of Dr. Andrew T. Pavia’s report [12]. Since most respiratory viruses are highly seasonal, the frequencies might be influenced by the variation in intensity of the study period, age of the population and region. In this surveillance, CAP patients due to MP, an important atypical bacterial pathogen, were common in 14 ~ 44 years-old patients and recognized by PSI as a low-risk condition, which is in consistent with the previous findings [29,30]. Just as Roson et al. reported, the patients with bacterial infections were usually associated with increased severity and mortality [31]. The analysis of typical bacterial pathogens indicated that the incidence increased along with age and PSI classes of the patients. And one patient died from co-infection of Streptococcus pneumoniae and Klebsiella pneumoniae. However, bacterial pneumonia might be underdiagnosed in this study [1,32] due to the reasons: (1) we focused on viral pathogens, therefore patients unavailable with a blood or sputum culture were not excluded. Only 533 patients were detected for typical bacterial pathogens, though urinary antigen test was conducted in all patients; (2) the defined population was young and had low or moderate severity; (3) the rate of antimicrobial treatment before enrollment was high (65.5%). Our study is subject to two limitations. First, as reported by David Lieberman [23], RVs could be detected in 7.1% of 450 controls without respiratory complaints. Healthy controls were not included to clarify the clinical significance of RVs, especially for the cases of triple and quadruple infections. Second, clinical relevance of viral load in the specimens could not be analyzed since the study was carried out in qualitative assays.

Conclusions

The proportion of RV involvement in CAP is higher than previously reported. Influenza virus A pneumonia are usually found in patients older than 45 years, while, adenovirus pneumonia are commonly found in adolescents and young adult patients. Pandemic H1N1 virus is still recognized by PSI as a high-severity pathogen. The findings contribute baseline data on viral CAP study in China.
  31 in total

Review 1.  Clinical and economic burden of community-acquired pneumonia among adults in Europe.

Authors:  T Welte; A Torres; D Nathwani
Journal:  Thorax       Date:  2010-08-20       Impact factor: 9.139

2.  Changes in epidemiology, clinical features and severity of influenza A (H1N1) 2009 pneumonia in the first post-pandemic influenza season.

Authors:  D Viasus; E Cordero; J Rodríguez-Baño; J A Oteo; A Fernández-Navarro; L Ortega; I Gracia-Ahufinger; M C Fariñas; E García-Almodovar; A Payeras; J R Paño-Pardo; E Muñez-Rubio; J Carratalà
Journal:  Clin Microbiol Infect       Date:  2012-01-20       Impact factor: 8.067

3.  Viral infection in patients with severe pneumonia requiring intensive care unit admission.

Authors:  Sang-Ho Choi; Sang-Bum Hong; Gwang-Beom Ko; Yumi Lee; Hyun Jung Park; So-Youn Park; Song Mi Moon; Oh-Hyun Cho; Ki-Ho Park; Yong Pil Chong; Sung-Han Kim; Jin Won Huh; Heungsup Sung; Kyung-Hyun Do; Sang-Oh Lee; Mi-Na Kim; Jin-Yong Jeong; Chae-Man Lim; Yang Soo Kim; Jun Hee Woo; Younsuck Koh
Journal:  Am J Respir Crit Care Med       Date:  2012-06-14       Impact factor: 21.405

4.  Influenza pneumonia: a comparison between seasonal influenza virus and the H1N1 pandemic.

Authors:  R Riquelme; A Torres; M L Rioseco; S Ewig; C Cillóniz; M Riquelme; C Inzunza; E Polverino; Y Gomez; M A Marcos; C Contreras; A Gabarrús; R Fasce
Journal:  Eur Respir J       Date:  2010-11-25       Impact factor: 16.671

5.  Viral and atypical bacterial detection in acute respiratory infection in children under five years.

Authors:  Patrícia G M Bezerra; Murilo C A Britto; Jailson B Correia; Maria do Carmo M B Duarte; Angela M Fonceca; Katie Rose; Mark J Hopkins; Luis E Cuevas; Paul S McNamara
Journal:  PLoS One       Date:  2011-04-18       Impact factor: 3.240

6.  Viral etiologies of acute respiratory infections among hospitalized Vietnamese children in Ho Chi Minh City, 2004-2008.

Authors:  Anh Ha Lien Do; H Rogier van Doorn; My Ngoc Nghiem; Juliet E Bryant; Thanh Hang thi Hoang; Quang Ha Do; Tan Le Van; Tan Thanh Tran; Bridget Wills; Vinh Chau van Nguyen; Minh Hien Vo; Cong Khanh Vo; Minh Dung Nguyen; Jeremy Farrar; Tinh Hien Tran; Menno D de Jong
Journal:  PLoS One       Date:  2011-03-24       Impact factor: 3.240

7.  Nationwide surveillance of influenza during the pandemic (2009-10) and post-pandemic (2010-11) periods in Taiwan.

Authors:  Jen-Hsiang Chuang; Angela S Huang; Wan-Ting Huang; Ming-Tsan Liu; Jih-Haw Chou; Feng-Yee Chang; Wen-Ta Chiu
Journal:  PLoS One       Date:  2012-04-24       Impact factor: 3.240

8.  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

9.  Influenza disease burden in adults by subtypes following the initial epidemic of pandemic H1N1 in Singapore.

Authors:  Mar K Win; Mark I-C Chen; Tim Barkham; Cui Lin; Adriana Tan; Raymond Lin; Yee-Sin Leo
Journal:  Influenza Other Respir Viruses       Date:  2011-08-31       Impact factor: 4.380

10.  Viral and Mycoplasma pneumoniae community-acquired pneumonia and novel clinical outcome evaluation in ambulatory adult patients in China.

Authors:  B Cao; L-L Ren; F Zhao; R Gonzalez; S-F Song; L Bai; Y D Yin; Y-Y Zhang; Y-M Liu; P Guo; J-Z Zhang; J-W Wang; C Wang
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2010-07-11       Impact factor: 3.267

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  28 in total

Review 1.  Re-understanding anti-influenza strategy: attach equal importance to antiviral and anti-inflammatory therapies.

Authors:  Zhengtu Li; Li Li; Shuai Zhao; Jing Li; Hongxia Zhou; Yunhui Zhang; Zifeng Yang; Bing Yuan
Journal:  J Thorac Dis       Date:  2018-07       Impact factor: 2.895

Review 2.  Severe Respiratory Viral Infections: New Evidence and Changing Paradigms.

Authors:  James M Walter; Richard G Wunderink
Journal:  Infect Dis Clin North Am       Date:  2017-07-05       Impact factor: 5.982

Review 3.  Current status of human adenovirus infection in China.

Authors:  Nai-Ying Mao; Zhen Zhu; Yan Zhang; Wen-Bo Xu
Journal:  World J Pediatr       Date:  2022-06-18       Impact factor: 9.186

4.  Clinical and etiological analysis of co-infections and secondary infections in COVID-19 patients: An observational study.

Authors:  Shuyan Chen; Qing Zhu; Yanyu Xiao; Chi Wu; Zhaofang Jiang; Lei Liu; Jiuxin Qu
Journal:  Clin Respir J       Date:  2021-04-19       Impact factor: 1.761

5.  Severe Community-Acquired Pneumonia Caused by Human Adenovirus in Immunocompetent Adults: A Multicenter Case Series.

Authors:  Dingyu Tan; Huadong Zhu; Yangyang Fu; Fei Tong; Dongqi Yao; Joseph Walline; Jun Xu; Xuezhong Yu
Journal:  PLoS One       Date:  2016-03-11       Impact factor: 3.240

6.  Retrospective review of epidemic viral pneumonia cases in Turkey: A multicenter study.

Authors:  Mustafa Çörtük; Murat Acat; Onur Yazici; Zehra Yasar; Kemal Kiraz; Sena Yapicioglu Ataman; Elif Tanriverdi; Burcak Zitouni; Cenk Kirakli; Ozlem Ediboglu; Fevziye Tuksavul; Adem Dirican; Hale Kefeli Celik; Sevket Ozkaya; Erdogan Cetinkaya
Journal:  Exp Ther Med       Date:  2017-02-22       Impact factor: 2.447

7.  Comparison of the prevalence of respiratory viruses in patients with acute respiratory infections at different hospital settings in North China, 2012-2015.

Authors:  Jianxing Yu; Zhengde Xie; Tiegang Zhang; Yanqin Lu; Hongwei Fan; Donghong Yang; Thomas Bénet; Philippe Vanhems; Kunling Shen; Fang Huang; Jinxiang Han; Taisheng Li; Zhancheng Gao; Lili Ren; Jianwei Wang
Journal:  BMC Infect Dis       Date:  2018-02-08       Impact factor: 3.090

8.  Use of laboratory and administrative data to understand the potential impact of human parainfluenza virus 4 on cases of bronchiolitis, croup, and pneumonia in Alberta, Canada.

Authors:  Sumana Fathima; Kimberley Simmonds; Jesse Invik; Allison N Scott; Steven Drews
Journal:  BMC Infect Dis       Date:  2016-08-11       Impact factor: 3.090

9.  The impact of virus infections on pneumonia mortality is complex in adults: a prospective multicentre observational study.

Authors:  Naoko Katsurada; Motoi Suzuki; Masahiro Aoshima; Makito Yaegashi; Tomoko Ishifuji; Norichika Asoh; Naohisa Hamashige; Masahiko Abe; Koya Ariyoshi; Konosuke Morimoto
Journal:  BMC Infect Dis       Date:  2017-12-06       Impact factor: 3.090

10.  Adult community-acquired pneumonia with unusually enlarged mediastinal lymph nodes: A case report.

Authors:  Lanhua Zhang; Shixiong Qiu; Cui Tang; Jinming Xu
Journal:  Exp Ther Med       Date:  2017-05-11       Impact factor: 2.447

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