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Article

Bacterial Coinfection and Superinfection in Respiratory Syncytial Virus-Associated Acute Respiratory Illness: Prevalence, Pathogens, Initial Antibiotic-Prescribing Patterns and Outcomes

by
Phunsup Wongsurakiat
1,*,
Siwadol Sunhapanit
2 and
Nisa Muangman
3
1
Division of Respiratory Diseases and Tuberculosis, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkoknoi, Bangkok 10700, Thailand
2
Division of Pulmonary Medicine and Pulmonary Critical Care, Faculty of Medicine, Vajira Hospital, Navamindradhiraj University, Bangkok 10300, Thailand
3
Diagnostic Division, Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkoknoi, Bangkok 10700, Thailand
*
Author to whom correspondence should be addressed.
Trop. Med. Infect. Dis. 2023, 8(3), 148; https://doi.org/10.3390/tropicalmed8030148
Submission received: 9 January 2023 / Revised: 22 February 2023 / Accepted: 24 February 2023 / Published: 27 February 2023
(This article belongs to the Special Issue Feature Papers in One Health)

Abstract

:
We aimed to determine the prevalence of bacterial coinfection (CoBact) and bacterial superinfection (SuperBact), the causative pathogens, the initial antibiotic-prescribing practice, and the associated clinical outcomes of hospitalized patients with respiratory syncytial virus-associated acute respiratory illness (RSV-ARI). This retrospective study included 175 adults with RSV-ARI, virologically confirmed via RT-PCR, during the period 2014–2019. Thirty (17.1%) patients had CoBact, and 18 (10.3%) had SuperBact. The independent factors associated with CoBact were invasive mechanical ventilation (OR: 12.1, 95% CI: 4.7–31.4; p < 0.001) and neutrophilia (OR: 3.3, 95% CI: 1.3–8.5; p = 0.01). The independent factors associated with SuperBact were invasive mechanical ventilation (aHR: 7.2, 95% CI: 2.4–21.1; p < 0.001) and systemic corticosteroids (aHR: 3.1, 95% CI: 1.2–8.1; p = 0.02). CoBact was associated with higher mortality compared to patients without CoBact (16.7% vs. 5.5%, p = 0.05). Similarly, SuperBact was associated with higher mortality compared to patients without SuperBact (38.9% vs. 3.8%, p < 0.001). The most common CoBact pathogen identified was Pseudomonas aeruginosa (30%), followed by Staphylococcus aureus (23.3%). The most common SuperBact pathogen identified was Acinetobacter spp. (44.4%), followed by ESBL-positive Enterobacteriaceae (33.3%). Twenty-two (100%) pathogens were potentially drug-resistant bacteria. In patients without CoBact, there was no difference in mortality between patients who received an initial antibiotic treatment of <5 days or ≥5 days.

1. Introduction

Respiratory syncytial virus-associated acute respiratory illness (RSV-ARI) is common in adults, particularly older adults, in chronic cardiopulmonary conditions, and in adults that are immunocompromised [1,2,3]. Approximately 14.5% of RSV-ARI cases required hospital admission [4,5].
We recently reported that bacterial infection was an independent factor associated with mortality in adult non-immunocompromised patients hospitalized with RSV-ARI [6]. The interaction between virus and bacterial infection has been widely recognized in patients with viral respiratory infection. In hospitalized patients with influenza and COVID-19, a large number of clinical studies have reported on bacterial infection and its impact on outcomes [7,8,9]. Bacterial coinfection is well described with influenza, with the frequency of coinfection ranging from 2% to 65%. The most frequently identified bacteria are Staphylococcus aureus, Streptococcus pneumoniae, Haemophilus influenzae, and Streptococcus pyogenes. The frequency of bacterial superinfection in influenza ranges from 0.5% to 38%. The most frequently detected pathogens are Acinetobacter baumannii, Staphylococcus aureus, Klebsiella pneumoniae, and Pseudomonas. aeruginosa.
The prevalence of bacterial coinfection in COVID-19 ranges from 5% to 11%. The most frequently identified bacteria are Klebsiella pneumoniae, Streptococcus pneumoniae, and Staphylococcus aureus. The frequency of bacterial superinfection ranges from 13% to 28%. The most frequently identified bacteria are Acinetobacter spp., Pseudomonas, and Escherichia coli.
The common risk factors reported for coexisting bacterial infection in respiratory viral illness were older age, comorbidities, severity of illness (invasive mechanical ventilation, acute respiratory distress syndrome), and impaired immune response including immunosuppressive treatments.
However, although the disease burden is comparable [3,10,11,12], there is scarce data on the frequency of bacterial coinfection, superinfection, and associated clinical outcomes among patients with RSV-ARI [10,13,14,15,16]. Furthermore, the American Thoracic Society/Infectious Diseases Society of America (ATS/IDSA) guideline for community-acquired pneumonia (CAP) recommends that standard antibacterial therapy be initially prescribed to patients with CAP who test positive for influenza and could consider earlier discontinuation of antibiotics if there is no evidence of bacterial infection and the patient is clinically stable [17]. However, the impact of initial antibiotic-prescribing practice in RSV-ARI is still unclear.
This study set forth to determine the prevalence of bacterial coinfection and bacterial superinfection, the causative pathogens, the initial antibiotic-prescribing practice and the associated clinical outcomes of patients hospitalized with RSV-ARI.

2. Materials and Methods

This study is a secondary analysis of data collected from a retrospective study of a cohort of adults hospitalized with RSV-ARI from January 2014 to April 2019 at a university-based hospital in Bangkok, Thailand, the design of which was previously described [6]. Briefly, patients with RSV infection were identified from the inpatient database of our hospital using the ICD-10 code related to RSV infection. RSV infection was defined by a positive reverse transcription polymerase chain reaction (RT-PCR) on any of the respiratory samples. Patients with RSV infection together with all of the following criteria were included: aged 18 years or more; admitted from outside the hospital with ARI (≥2 respiratory symptoms, including pleuritic chest pain, dyspnea, cough, and/or respiratory distress); and diagnosis of RSV infection within 48 h after admission. Patients who had received immunosuppressants or long-term corticosteroid therapy, who had concomitant acquired immunodeficiency syndrome, or who were pregnant were excluded.

2.1. Data Collection

The medical records of all patients were reviewed. In all cases, a protocol for data collection was applied. The data collected included age, sex, functional status, comorbidities, and time of hospital admission, presenting signs and symptoms, vital signs, mental status, the need for mechanical ventilation or vasopressors within 48 h after hospital admission, chest radiographic findings, laboratory data and arterial blood gas analysis. PaO2 was inferred from SpO2 if the arterial blood gas analysis was not available [18].
All microbiological studies for bacterial infection during the course of hospitalization were recorded, including sputum cultures, blood cultures, BAL cultures, or pleural fluid cultures. The etiologic diagnosis was considered positive in the following situations: a predominant microorganism isolated from a sputum sample with moderate or high quantity, isolation of a respiratory pathogen in a usually sterile specimen, or bacterial growth in BAL fluid (≥104 cfu/mL).

2.2. Medication Treatment

The following medications prescribed during hospitalization were recorded:
Initial antibiotic treatment prescribed within the first 24 h after admission.
Ribavirin treatment prescribed with ≥1 doses during admission.
Systemic corticosteroids used ≥24 h after admission.
Inhaled bronchodilator.

2.3. Definitions

Severe ARI was defined using ATS/IDSA criteria for severe CAP [17] (Table S1).
Bacterial coinfection: ≥1 positive cultures from blood and/or a respiratory sample collected within 48 h after hospitalization.
Bacterial superinfection: ≥1 positive cultures from blood and/or a respiratory sample collected >48 h after hospitalization.
Adequate initial antibiotic therapy: Initial antibiotic treatment with at least one agent to which all recovered isolates were susceptible in vitro.
Guideline-concordant antibiotic therapy: Initial antibiotic treatment prescribed were concordant with ATS/IDSA guideline for CAP as outlined in Table S2.

2.4. Outcomes

The primary outcome was all-cause mortality within 30 days after admission. The secondary outcome was the duration of hospitalization by assessing the number of days alive and outside the hospital (hospital-free days) within 30 days after hospital admission.

2.5. Statistical Analysis

Descriptive analysis was performed. Discrete variables are expressed as number and percentage (%), and continuous variables as either mean ± standard deviation (SD) or median and interquartile range (IQR). Proportions were compared using a chi-square test or Fisher’s exact test for categorical variables, and a nonparametric Mann–Whitney U-test or unpaired t-test for continuous variables. The Kolmogorov–Smirnov test was used to evaluate data distribution.
Multivariate analysis by logistic regression analysis was performed to determine the independent factors associated with bacterial coinfection. The dependent variable was the rate of bacterial coinfection, and the independent variables were variables that were associated with bacterial coinfection, including in the univariate analysis (p < 0.1) and biologically relevant confounders (age).
Factors affecting bacterial superinfection were analyzed using time-to-event analyses. Time to bacterial superinfection was defined as the time from hospital admission to the date of occurrence of the first bacterial superinfection within 30 days after admission. Univariate and multivariate Cox regression analyses were performed to determine independent factors associated with the occurrence of bacterial superinfection. Factors with a p value of <0.1 in the univariate analysis, age, and ribavirin treatment were entered into a multiple variable Cox regression model. A higher hazard ratio (HR > 1) indicates a higher probability of bacterial superinfection.
All statistical analyses were two-sided, and a p value of <0.05 was considered statistically significant. All statistical analyses were performed using SPSS Statistics software version 20 (SPSS, Inc., Chicago, IL, USA).

3. Results

A total of 175 adult patients with community-acquired RSV-ARI were included in this study. The mean age was 76 ± 12.7 years. Clinical characteristics, functional status, comorbidities, chest radiographic findings, laboratory data, and prevalence of bacterial coinfection and bacterial superinfection are shown in Table 1.
Seventy-eight (44.6%) patients met the diagnostic criteria for severe ARI. The prevalence of bacterial coinfection and bacterial superinfection according to the severity of ARI is shown in Table 2.

3.1. Medication Treatment

Fifty-two (29.7%) patients received systemic corticosteroids during hospital admission. The prevalence of bacterial coinfection and bacterial superinfection according to the medication treatments is shown in Table 2.

3.2. Bacterial Infection

Blood cultures were performed in 135 (77.1%) patients and were positive in 3 (2.2%) patients. Thirty (17.1%) patients had bacterial coinfection, and 18 (10.3%) had bacterial superinfection, as follows: two (11.1%) had hospital-acquired pneumonia (HAP), seven (38.9%) ventilated HAP, and nine (50.0%) ventilator-associated pneumonia (VAP). Seven (4%) patients had both bacterial coinfection and bacterial superinfection.
Invasive mechanical ventilation (odds ratio: 12.1, 95% CI: 4.7–31.4; p < 0.001) and absolute neutrophil count of >6.9 cells × 103/mm3 (odds ratio: 3.3, 95% CI: 1.3–8.5; p = 0.01) were found to be independent factors associated with bacterial coinfection. The independent factors associated with bacterial superinfection were invasive mechanical ventilation (aHR: 7.2, 95% CI: 2.4–21.1; p < 0.001) and systemic corticosteroids (aHR: 3.1, 95% CI: 1.2–8.1; p = 0.02), as shown in Table 3.

3.3. Outcomes

Overall mortality within 30 days was 7.4%. Bacterial coinfection was associated with higher mortality compared to patients without bacterial coinfection (16.7% vs. 5.5%, p = 0.05). Similarly, bacterial superinfection was associated with higher mortality compared to patients without bacterial superinfection (38.9% vs. 3.8%, p < 0.001), as shown in Table 2.
Bacterial coinfection was associated with fewer hospital-free days compared to patients without bacterial coinfection [16 (3–20.2) days vs. 21 (14.5 to 24) days, p = 0.002). Bacterial superinfection was associated with fewer hospital-free days compared to patients without bacterial superinfection [0 (0 to 5.2) days vs. 21 (16.5 to 24) days p < 0.001)], as shown in Table 2.

3.4. Causative Pathogens

The most common bacterial coinfection pathogen identified was Pseudomonas aeruginosa (nine patients, 30%), followed by Staphylococcus aureus (seven patients, 23.3%). Nineteen (63.3%) pathogens identified were potentially drug-resistant bacteria, six (20%) were multidrug-resistant (MDR) bacteria, and two (6.7%) were extensively drug-resistant (XDR) bacteria. Polymicrobial coinfection was identified in five (16.7%) patients. The most common bacterial superinfection pathogen identified was Acinetobacter spp. (eight patients, 44.4%), followed by ESBL-positive Enterobacteriaceae (six patients, 33.3%). Twenty-three (100%) of the pathogens identified were potentially drug-resistant bacteria, eight (34.8%) were MDR bacteria, and eight (34.8%) were XDR bacteria. Polymicrobial superinfection was identified in six (33.3%) patients, as shown in Table 4.

3.5. Initial Antibiotic-Prescribing Patterns

Initial antibiotic treatment was prescribed in 150 (85.7%) patients. The initial antibiotic regimens are shown in Table 5. Of the 175 patients with RSV-ARI, 81 (46.3%) received initial antibiotic regimens that were concordant with the ATS/IDSA guideline [17]. The initial antibiotic regimens included antipseudomonas β-lactams in 58 (33.1%) patients, macrolides in 79 (45.1%) patients and atypical pathogen coverage in 106 (60.6%) patients. There was no association between these initial antibiotic regimens and the mortality of all patients with RSV-ARI. In patients with bacterial coinfection, mortality in patients who received inadequate initial antibiotic treatment was higher than in patients who received adequate initial antibiotic treatment (28.6% vs. 13%, p = 0.56). There was no association between initial antibiotic regimens and the mortality of patients without evidence of bacterial coinfection, except for an initial antibiotic regimen that included antipseudomonas β-lactams, which was associated with higher mortality.
The average duration of initial antibiotic treatment in patients with bacterial coinfection was longer than in patients without bacterial coinfection [7 (IQR: 5–7.2) days vs. 6 (IQR:3–7) days, p = 0.01]. However, 91 (62.8%) patients without bacterial coinfection received initial antibiotic treatment for 5 days or more. There was no association between the duration of initial antibiotic treatment and the mortality of patients without evidence of bacterial coinfection. There was no difference in mortality, along with increased hospital-free days in patients who received a shorter duration of initial antibiotic treatment (<5 days) compared to patients who received a longer duration of initial antibiotic treatment (≥5 days), as shown in Table 5 and Table S3.
There was no association between initial antibiotic treatment regimens and hospital-free days of all patients with RSV-ARI, except the initial antibiotic regimen that included antipseudomonas β-lactams, which was associated with fewer hospital-free days. There was no association between initial antibiotic regimens and hospital-free days for patients without bacterial coinfection, as shown in Table S3.

4. Discussion

Bacterial coinfection was documented in 17.1% of patients hospitalized with RSV-ARI in this study. Previous reports documented bacterial coinfection in 9–30% of patients with RSV infection [10,13,14,15]. However, the bacterial testing was left to the discretion of the attending physician. Microbiological diagnosis of bacterial infection may vary depending on the severity of the patient, patient cooperation, and may be limited by sampling techniques. In addition, only culture-proven cases were reported. This may lead to underestimates of bacterial infection.
The interaction between virus and bacterial infection has been frequently documented in patients with respiratory viral infection. The prevalence of bacterial coinfection and association with increased mortality in the present study was comparable to previous reports of bacterial infection in patients hospitalized with RSV infection [10,13,14,15] and patients with influenza infection [7]. Therefore, patients with RSV infection should be carefully assessed for possible bacterial coinfection. Our analysis revealed that invasive mechanical ventilation and neutrophilia were independently associated with bacterial coinfection. However, there were no clinical characteristics, radiology, or routine blood tests that could reliably differentiate bacterial coinfection from primary RSV-ARI. Serum procalcitonin has been reported to be used as a marker of the absence of bacterial coinfection in influenza with a high negative predictive value [19]. We did not evaluate procalcitonin in our study.
IDSA guidelines on influenza management recommend the investigation and empirical treatment of bacterial coinfection in patients with influenza who present with severe disease (respiratory failure, extensive pneumonia, fever, and hypotension), who do not improve or deteriorate after initial improvement [20]. These clinical characteristics were also identified as factors associated with bacterial coinfection in univariate and multivariate analysis in the current study. Due to the comparable prevalence of bacterial coinfection with a significant impact on mortality, along with the inability to completely exclude bacterial coinfection, this guideline should be extrapolated to patients hospitalized with RSV-ARI. According to our analysis, neutrophilia should be considered as a criterion to empirically treat bacterial coinfection.
The most common pathogens of bacterial coinfection identified in this study were Pseudomonas aeruginosa, followed by Staphylococcus aureus. The common pathogens of bacterial infection in RSV infection in previous reports were Streptococcus pneumoniae, Staphylococcus aureus, Haemophilus influenzae, and Pseudomonas aeruginosa [10,14,15]. A study in Korea revealed a high prevalence of Gram-negative bacteria in patients with RSV infection [16]. Around 60% of the pathogens identified in our study were potentially drug-resistant bacteria. This pattern of causative pathogens is more similar to the pattern of causative pathogens identified in CAP patients in our hospital [21] than the common pathogens (Streptococcus pneumoniae, Staphylococcus aureus) reported in most studies of bacterial coinfection in RSV and influenza infection [10,14,15,22,23,24].
There was no association between initial antibiotic regimens and outcomes including mortality and hospital-free days in all patients with RSV-ARI. The present study documented bacterial coinfection in only 30 patients, of which there may be insufficient power to demonstrate the impact of initial antibiotic regimens on the outcomes. In patients with bacterial coinfection, the mortality of patients who received inadequate initial antibiotic treatment was twice as high as the mortality of patients who received adequate initial antibiotic treatment. The spectrum of bacterial coinfection pathogens is similar to the pattern of causative pathogens identified in patients with CAP. Therefore, the initial antibiotic treatment should be similar to the antibiotics recommended for CAP, taking into account local epidemiology and antibiotic resistance patterns.
Due to the inability to differentiate bacterial coinfection from primary RSV-ARI and the significant risk of delaying appropriate antibiotic treatment, most patients would receive empirical antibiotic treatment. The ATS/IDSA guideline for CAP recommends that standard antibacterial therapy be initially prescribed for patients with CAP who test positive for influenza and that it should be considered to discontinue treatment at 48 to 72 h, if there is no evidence of bacterial infection and the patient is clinically stable [17]. Our study demonstrated that 60% of patients without bacterial coinfection received initial antibiotic treatment for five days or more. We used five days as the cut-off date for discontinuing initial antibiotic treatment, as it is the usual duration needed for all routine bacterial culture results. We showed that there was no difference in mortality, along with increased hospital-free days, in patients who received a shorter duration of initial antibiotic treatment (<5 days) compared to patients who received a longer duration of antibiotic treatment (≥5 days). This supports the recommendation to discontinue antibiotics if there is no evidence of a bacterial pathogen from routine bacterial cultures and early clinical stability. It is unknown whether the duration of initial antibiotic treatment could be shortened if all culture results could be obtained earlier, for example within 48–72 h.
Our study revealed that macrolides were included in initial antibiotic regimens in 45% of the patients. Macrolides exert broad-ranging anti-inflammatory and immunomodulatory properties [25], and several studies have demonstrated the beneficial effects of macrolides in viral infections [26,27]. Tahan F et al. reported that clarithromycin treatment was associated with significant reductions in the need for bronchodilator treatment, the duration of supplemental oxygen requirement, and the length of hospital stay in respiratory syncytial virus bronchiolitis [28]. However, our analysis did not support the beneficial effect of macrolides on mortality and hospital-free days in patients with primary RSV-ARI.
Our analysis distinguished between bacterial coinfection and bacterial superinfection because of the different implications in patient management. Ten percent of the patients developed respiratory bacterial superinfection, including HAP, ventilated HAP and VAP, which are severe nosocomial infections associated with high mortality (38.9%). All identified causative pathogens were potentially drug-resistant bacteria, of which almost half were XDR bacteria. Therefore, measures to prevent hospital-acquired infections should be implemented in these patients [29]. The independent factors associated with bacterial superinfection were invasive mechanical ventilation and systemic corticosteroids. Systemic corticosteroids are frequently used to decrease bronchial obstruction and inflammation in patients with RSV infection [3,30,31]. One third of the patients in this study received systemic corticosteroids. Systemic corticosteroids may diminish humoral immunity [31]. Some studies demonstrated that adjunct corticosteroid use increased the risk of disease progression [32], secondary infections, and longer hospitalization in patients with RSV infections [10]. All things considered, systemic corticosteroids should be avoided in patients with RSV infection. An alternative treatment such as high-dose inhaled corticosteroids should be considered in patients with established indications, such as exacerbations of COPD [33].
The strengths of the present study include only non-immunocompromised patients with community-acquired ARI, with RSV infection confirmation via RT-PCR. Furthermore, multivariate analysis was used to adjust for important confounders, without missing outcome-related data. The present study also has several potential limitations. First, due to the nature of a retrospective single-center study, it is vulnerable to biases and incomplete data. Second, despite many possible confounding factors being taken into account by adjusting for them, residual confounding factors cannot be completely excluded. Third, the time from admission to the first administration of antibiotics was not evaluated in this study. It was reported to be a key predictor of outcomes. Fourth, atypical pathogens were not investigated in the present study. Fifth, the treatments after the initial antibiotic therapy were not investigated. These treatments may confound the outcome analysis. Sixth, most patients in the present study were older adults with many comorbidities; therefore, unmeasured patient preference for life-sustaining treatment might confound the outcomes.

5. Conclusions

Bacterial coinfection and bacterial superinfection are significant complications associated with worse outcomes and clinicians should consider possible bacterial coinfection in patients hospitalized with RSV-ARI, especially in patients with severe ARI, patients receiving invasive mechanical ventilation, or in patients with neutrophilia. There should be a strong consideration for an initial empiric antibiotic treatment. The choice of initial antibiotic treatment should be based on the local epidemiology and target pathogens responsible for CAP, taking into account local antibiotic resistance patterns. Therapy should be discontinued in less than five days if all microbiological results are negative. Systemic corticosteroids are an independent factor and should be avoided to minimize bacterial superinfection, which is often caused by potentially drug-resistant bacteria. Prospective studies are needed to confirm our retrospective results.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/tropicalmed8030148/s1, Table S1: American Thoracic Society/Infectious Diseases Society of America criteria for defining severe community-acquired pneumonia; Table S2: American Thoracic Society/Infectious Diseases Society of America Guideline Recommendations for empirical therapy for community-acquired pneumonia; Table S3: Initial antibiotics treatment and hospital-free days within 30 days after hospital admission of all patients hospitalized with respiratory syncytial virus-associated acute respiratory illness.

Author Contributions

Conceptualization, P.W. and S.S.; methodology, P.W., S.S. and N.M.; software, S.S.; validation, P.W.; formal analysis, P.W.; investigation, P.W. and N.M.; resources, P.W.; data curation, P.W. and S.S.; writing—original draft preparation, P.W.; writing—review and editing, P.W., S.S. and N.M.; supervision, P.W.; project administration, S.S.; All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Siriraj Institutional Review Board (no. SIRB 170/2562[EC2]).

Informed Consent Statement

Patient consent was waived due to the retrospective nature of the analysis.

Data Availability Statement

Not applicable.

Acknowledgments

The authors gratefully acknowledge Khemajira Karaketklang for assistance with statistical analysis.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

ARI acute respiratory illness
CAP community-acquired pneumonia
CI confidence interval
eGFR estimated glomerular filtration rate
FiO2 fraction of inspired oxygen
HR hazard ratio
aHR adjusted hazard ratio
HAP hospital-acquired pneumonia
ATS/IDSA American Thoracic Society/Infectious Diseases Society of America
IQR interquartile range
OR odds ratio
RSV respiratory syncytial virus
RT-PCR reverse transcription polymerase chain reaction
SD standard deviation
VAP ventilator-associated pneumonia

References

  1. Chemaly, R.F.; Ghosh, S.; Bodey, G.P.; Rohatgi, N.; Safdar, A.; Keating, M.J.; Champlin, R.E.; Aguilera, E.A.; Tarrand, J.J.; Raad, I.I. Respiratory viral infections in adults with hematologic malignancies and human stem cell transplantation recipients: A retrospective study at a major cancer center. Medicine 2006, 85, 278–287. [Google Scholar] [CrossRef] [PubMed]
  2. Walsh, E.E.; Falsey, A.R.; Hennessey, P.A. Respiratory syncytial and other virus infections in persons with chronic cardiopulmonary disease. Am. J. Respir. Crit. Care Med. 1999, 160, 791–795. [Google Scholar] [CrossRef] [PubMed]
  3. Falsey, A.R.; Hennessey, P.A.; Formica, M.A.; Cox, C.; Walsh, E.E. Respiratory syncytial virus infection in elderly and high-risk adults. N. Engl. J. Med. 2005, 352, 1749–1759. [Google Scholar] [CrossRef]
  4. Colosia, A.D.; Yang, J.; Hillson, E.; Mauskopf, J.; Copley-Merriman, C.; Shinde, V.; Stoddard, J. The epidemiology of medically attended respiratory syncytial virus in older adults in the United States: A systematic review. PLoS ONE 2017, 12, e0182321. [Google Scholar] [CrossRef] [Green Version]
  5. Shi, T.; Denouel, A.; Tietjen, A.K.; Campbell, I.; Moran, E.; Li, X.; Campbell, H.; Demont, C.; Nyawanda, B.O.; Chu, H.Y.; et al. Global Disease Burden Estimates of Respiratory Syncytial Virus-Associated Acute Respiratory Infection in Older Adults in 2015: A Systematic Review and Meta-Analysis. J. Infect. Dis. 2020, 222 (Suppl. 7), S577–S583. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Wongsurakiat, P.; Sunhapanit, S.; Muangman, N. Respiratory syncytial virus-associated acute respiratory illness in adult non-immunocompromised patients: Outcomes, determinants of outcomes, and the effect of oral ribavirin treatment. Influenza Other Respir. Viruses 2022, 16, 767–779. [Google Scholar] [CrossRef] [PubMed]
  7. Klein, E.Y.; Monteforte, B.; Gupta, A.; Jiang, W.; May, L.; Hsieh, Y.H.; Dugas, A. The frequency of influenza and bacterial coinfection: A systematic review and meta-analysis. Influenza Other Respir. Viruses. 2016, 10, 394–403. [Google Scholar] [CrossRef] [Green Version]
  8. Metersky, M.L.; Masterton, R.G.; Lode, H.; File, T.M., Jr.; Babinchak, T. Epidemiology, microbiology, and treatment considerations for bacterial pneumonia complicating influenza. Int. J. Infect. Dis. 2012, 16, e321–e331. [Google Scholar] [CrossRef] [Green Version]
  9. Alshaikh, F.S.; Godman, B.; Sindi, O.N.; Seaton, R.A.; Kurdi, A. Prevalence of bacterial coinfection and patterns of antibiotics prescribing in patients with COVID-19: A systematic review and meta-analysis. PLoS ONE 2022, 17, e0272375. [Google Scholar] [CrossRef]
  10. Lee, N.; Lui, G.C.; Wong, K.T.; Li, T.C.; Tse, E.C.; Chan, J.Y.; Yu, J.; Wong, S.S.; Choi, K.W.; Wong, R.Y.; et al. High Morbidity and Mortality in Adults Hospitalized for Respiratory Syncytial Virus Infections. Clin. Infect. Dis. 2013, 57, 1069–1077. [Google Scholar] [CrossRef] [Green Version]
  11. Ackerson, B.; Tseng, H.F.; Sy, L.S.; Solano, Z.; Slezak, J.; Luo, Y.; Fischetti, C.A.; Shinde, V. Severe morbidity and mortality associated with respiratory syncytial virus versus influenza infection in hospitalized older adults. Clin. Infect. Dis. 2019, 69, 197–203. [Google Scholar] [CrossRef] [Green Version]
  12. Ramírez-Soto, M.C.; Ortega-Cáceres, G.; Garay-Uribe, J. Characteristics of Respiratory Syncytial Virus versus Influenza Infection in Hospitalized Patients of Peru: A Retrospective Observational Study. Trop. Med. Infect. Dis. 2022, 7, 317. [Google Scholar] [CrossRef]
  13. Zhang, Y.; Wang, Y.; Zhao, J.; Xiong, Z.; Fan, Y.; Zhang, W.; Zou, X.; Wang, C.; Han, J.; Li, B.; et al. Severity and mortality of respiratory syncytial virus vs. influenza A infection in hospitalized adults in China. Influenza Other Respir. Viruses 2020, 14, 483–490. [Google Scholar] [CrossRef]
  14. Jeannoël, M.; Lina, G.; Rasigade, J.P.; Lina, B.; Morfin, F.; Casalegno, J.S. Microorganisms associated with respiratory syncytial virus pneumonia in the adult population. Eur. J. Clin. Microbiol. Infect. Dis. 2019, 38, 157–160. [Google Scholar] [CrossRef]
  15. Godefroy, R.; Giraud-Gatineau, A.; Jimeno, M.T.; Edouard, S.; Meddeb, L.; Zandotti, C.; Chaudet, H.; Colson, P.; Raoult, D.; Cassir, N. Respiratory syncytial virus infection: Its propensity for bacterial coinfection and related mortality in elderly adults. Open Forum Infect. Dis. 2020, 7, ofaa546. [Google Scholar] [CrossRef]
  16. Jung, H.S.; Kang, B.J.; Ra, S.W.; Seo, K.W.; Jegal, Y.; Jun, J.B.; Jung, J.; Jeong, J.; Jeon, H.J.; Ahn, J.S.; et al. Elucidation of bacterial pneumonia-causing pathogens in patients with respiratory viral infection. Tuberc. Respir. Dis. 2017, 80, 358–367. [Google Scholar] [CrossRef] [PubMed]
  17. Metlay, J.P.; Waterer, G.W.; Long, A.C.; Anzueto, A.; Brozek, J.; Crothers, K.; Cooley, L.A.; Dean, N.C.; Fine, M.J.; Flanders, S.A.; et al. Diagnosis and Treatment of Adults with Community-acquired Pneumonia. An Official Clinical Practice Guideline of the American Thoracic Society and Infectious Diseases Society of America. Am. J. Respir. Crit. Care Med. 2019, 200, e45–e67. [Google Scholar] [CrossRef] [PubMed]
  18. Brown, S.M.; Duggal, A.; Hou, P.C.; Tidswell, M.; Khan, A.; Exline, M.; Park, P.K.; Schoenfeld, D.A.; Liu, M.; Grissom, C.K.; et al. Nonlinear Imputation of Pao2/FIo2From SpO2/FIO2 Among Mechanically Ventilated Patients in the ICU: A Prospective, Observational Study. Crit. Care Med. 2017, 45, 1317–1324. [Google Scholar] [CrossRef] [PubMed]
  19. Rodríguez, A.H.; Avilés-Jurado, F.X.; Díaz, E.; Schuetz, P.; Trefler, S.I.; Solé-Violán, J.; Cordero, L.; Vidaur, L.; Estella, Á.; Laderas, J.C.; et al. Procalcitonin (PCT) levels for ruling-out bacterial coinfection in ICU patients with influenza: A CHAID decision-tree analysis. J. Infect. 2016, 72, 143–151. [Google Scholar] [CrossRef]
  20. Uyeki, T.M.; Bernstein, H.H.; Bradley, J.S.; Englund, J.A.; File, T.M., Jr.; Fry, A.M.; Gravenstein, S.; Hayden, F.G.; Harper, S.A.; Hirshon, J.M.; et al. Clinical practice guidelines by the infectious diseases society of America: 2018 update on diagnosis, treatment, chemoprophylaxis, and institutional outbreak management of seasonal infuenzaa. Clin. Infect. Dis. 2019, 68, 895–902. [Google Scholar] [CrossRef] [PubMed]
  21. Wongsurakiat, P.; Chitwarakorn, N. Severe community-acquired pneumonia in general medical wards: Outcomes and impact of initial antibiotic selection. BMC Pulm. Med. 2019, 19, 179. [Google Scholar] [CrossRef]
  22. Martín-Loeches, I.; Sanchez-Corral, A.; Diaz, E.; Granada, R.M.; Zaragoza, R.; Villavicencio, C.; Albaya, A.; Cerdá, E.; Catalán, R.M.; Luque, P.; et al. Community-acquired respiratory coinfection in critically ill patients with pandemic 2009 influenza A(H1N1) virus. Chest 2011, 139, 555–562. [Google Scholar] [CrossRef] [PubMed]
  23. Martin-Loeches, I.; JSchultz, M.; Vincent, J.L.; Alvarez-Lerma, F.; Bos, L.D.; Solé-Violán, J.; Torres, A.; Rodriguez, A. Increased incidence of co-infection in critically ill patients with influenza. Intensive Care Med. 2017, 43, 48–58. [Google Scholar] [CrossRef]
  24. Jia, L.; Xie, J.; Zhao, J.; Cao, D.; Liang, Y.; Hou, X.; Wang, L.; Li, Z. Mechanisms of Severe Mortality-Associated Bacterial Co-infections Following Influenza Virus Infection. Front. Cell Infect. Microbiol. 2017, 7, 338. [Google Scholar] [CrossRef] [Green Version]
  25. Tamaoki, J.; Kadota, J.; Takizawa, H. Clinical implications of the immunomodulatory effects of macrolides. Am. J. Med. 2004, 117 (Suppl. 9A), 5S–11S. [Google Scholar] [CrossRef]
  26. Sato, K.; Suga, M.; Akaike, T.; Fujii, S.; Muranaka, H.; Doi, T.; Maeda, H.; Ando, M. Therapeutic effect of erythromycin on influenza viru sinduced lung injury in mice. Am. J. Respir. Crit. Care Med. 1998, 157, 853–857. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Bermejo-Martin, J.F.; Kelvin, D.J.; Eiros, J.M.; Castrodeza, J.; Ortiz de Lejarazu, R. Macrolides for the treatment of severe respiratory illness caused by novel H1N1 swine influenza viral strains. J. Infect. Dev. Ctries. 2009, 30, 159–161. [Google Scholar] [CrossRef] [Green Version]
  28. Tahan, F.; Ozcan, A.; Koc, N. Clarithromycin in the treatment of RSV bronchiolitis: A double-blind, randomised, placebo-controlled trial. Eur. Respir. J. 2007, 29, 91–97. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Klompas, M.; Branson, R.; Eichenwald, E.C.; Greene, L.R.; Howell, M.D.; Lee, G. Strategies to prevent ventilator-associated pneumonia in acute care hospitals: 2014 update. Infect. Control Hosp. Epidemiol. 2014, 35, 915–936. [Google Scholar] [CrossRef]
  30. Branche, A.R.; Falsey, A.R. Respiratory Syncytial Virus Infection in Older Adults: An Under-Recognized Problem. Drugs Aging 2015, 32, 261–269. [Google Scholar] [CrossRef]
  31. Lee, F.E.; Walsh, E.E.; Falsey, A.R. The effect of steroid use in hospitalized adults with respiratory syncytial virus-related illness. Chest 2011, 140, 1155–1161. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Damlaj, M.; Bartoo, G.; Cartin-Ceba, R.; Gijima, D.; Alkhateeb, H.B.; Merten, J.; Hashmi, S.; Litzow, M.; Gastineau, D.; Hogan, W.; et al. Corticosteroid use as adjunct therapy for respiratory syncytial virus infection in adult allogeneic stem cell transplant recipients. Transpl. Infect. Dis. 2016, 18, 216–226. [Google Scholar] [CrossRef] [PubMed]
  33. Gunen, H.; Hacievliyagil, S.S.; Yetkin, O.; Gulbas, G.; Mutlu, L.C. The role of nebulised budesonide in the treatment of exacerbations of COPD. Eur. Respir. J. 2007, 29, 660–667. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Table 1. Baseline characteristics and associated bacterial coinfection and bacterial superinfection of all patients hospitalized with respiratory syncytial virus-associated acute respiratory illness.
Table 1. Baseline characteristics and associated bacterial coinfection and bacterial superinfection of all patients hospitalized with respiratory syncytial virus-associated acute respiratory illness.
All PatientsBacterial Coinfection Bacterial Superinfection
n = 175No
n = 145
Yes
n = 30
p
Value
No
n = 157
Yes
n = 18
p
Value
Year at admission: 0.08 0.02 *
2014
2015
2016
2017
2018
19 (10.9)
16 (9.1)
28 (16)
37 (21.1)
75 (42.9)
12 (8)
12 (8)
23 (15.9)
31 (21.4)
67 (46.2)
7 (23.3)
4 (13.3)
5 (16.7)
6 (20)
8 (26.7)
13 (8.3)
14 (8.9)
27 (17.2)
35 (22.3)
68 (43.3)
6 (33.3)
2 (11.1)
1 (5.6)
2 (11.1)
7 (38.9)
Month at admission 0.3 0.29
May
June
July
August
September
October
November
December
1 (0.6)
3 (1.7)
15 (8.6)
47 (26.9)
57 (32.6)
39 (22.3)
12 (6.9)
1 (0.6)
1 (0.69)
3 (2.1)
14 (9.6)
41 (28.3)
45 (31)
33 (22.8)
7 (4.8)
1 (0.69)
0
0
1 (3.3)
6 (20)
12 (40)
6 (20)
5 (16.7)
0
1 (0.64)
3 (1.9)
14 (8.9)
37 (23.6)
54 (34.4)
36 (22.9)
11 (7)
1 (0.64)
0
0
1 (5.6)
10 (55.6)
3 (16.7)
3 (16.7)
1 (5.6)
0




Age, y76 ± 12.676.5 ± 12.173.5 ± 14.50.2375.7 ± 12.678.6 ± 12.30.35
Female108 (61.7)86 (86.2)22 (73.3)0.1597 (61.8)11 (61.1)0.96
Comorbid:
Cardiovascular diseases
Neurological diseases
Diabetes
Chronic lung diseases
Malignant diseases

81 (46.3)
58 (33.1)
64 (36.6)
50 (28.6)
16 (9.1)

70 (48.3)
51 (35.2)
58 (40)
40 (27.6)
14 (9.6)

11 (36.7)
7 (23.3)
6 (20)
10 (33.3)
2 (6.7)

0.25
0.21
0.04 *
0.53
0.74

70 (44.6)
55 (35)
59 (37.6)
41 (26.1)
16 (10.2)

11 (61.1)
3 (16.7)
5 (27.8)
9 (50)
0

0.18
0.12
0.41
0.03 *
0.23
Dependent functional status52 (29.7)43 (29.6)9 (30)0.9749 (31.2)3 (16.7)0.2
eGFR a < 50 mL/min/1.73 m283 (47.4)70 (48.3)13 (43.3)0.671 (45.2)12 (66.7)0.09
Chest radiograph:
Infiltrates
Multilobar infiltrates
Pleural effusion

159 (90.9)
88 (50.3)
8 (4.6)

129 (88.9)
65 (44.8)
6 (4.1)

30 (100)
23 (76.7)
2 (6.7)

0.08
0.001 *
0.55

142 (90.4)
72 (45.9)
6 (3.8)

17 (94.4)
16 (88.9)
2 (11.1)

0.71
0.001 *
0.19
Hemoglobin < 10 g/dL28 (16)25 (17.2)3 (10)0.4224 (15.3)4 (22.2)0.49
WBC count, median (IQR), cells × 103/mm38.5 (6.5–11.9)8.2 (6.2–11.7)9.8 (8–13.4)0.009 *8.5 (6.4–11.9)8.4 (6.9–13.7)0.59
WBC count > 11 cells × 103/mm354 (30.9)43 (29.6)11 (36.7)0.4549 (31.2)5 (27.8)0.76
Absolute neutrophil count, median (IQR), cells × 103/mm36.5 (4.6–9.2)6 (4.2–9)7.7 (5.8–11)0.02 *6.2 (4.5–9.3)6.6 (5–8.7)0.81
Absolute neutrophil count > 6.9 cells × 103/mm372 (41.1)54 (37.2)18 (60)0.02 *64 (40.8)8 (44.4)0.76
Absolute lymphocyte count, median (IQR), cells × 103/mm31.3 (0.8–1.9)1.3 (0.79–1.9)1.5 (0.79–1.9)0.341.3 (0.79–1.9)1.5 (0.77–2)0.43
Absolute lymphocyte count < 0.8 cells × 103/mm344 (25.1)36 (24.8)8 (26.7)0.8339 (24.8)5 (27.8)1
Neutrophil-lymphocyte count ratio, median (IQR)4.9 (3–8.4)4.9 (2.9–8.7)5.2 (3.1–8.7)0.64.9 (3.2–8.1)4.1 (2.7–9.9)0.7
Data are presented as mean ± SD or n (%), unless otherwise stated. IQR = interquartile range. a Glomerular filtration rate estimated using CKD-EPI Creatinine Equation. * Statistically significant difference.
Table 2. Severity at admission, treatment, and associated bacterial coinfection and bacterial superinfection of all patients hospitalized with respiratory syncytial virus-associated acute respiratory illness.
Table 2. Severity at admission, treatment, and associated bacterial coinfection and bacterial superinfection of all patients hospitalized with respiratory syncytial virus-associated acute respiratory illness.
All PatientsBacterial CoinfectionBacterial Superinfection
n = 175No
n = 145
Yes
n = 30
p
Value
No
n = 157
Yes
n = 18
p
Value
ICU admission14 (8)11 (7.6)3 (10)0.719 (5.7)5 (27.8)0.007 *
Invasive mechanical ventilation36 (20.6)18 (12.4)18 (60)<0.001 *23 (14.6)13 (72.2)<0.001 *
Vasopressor requirement11 (6.3)5 (3.4)6 (20)0.004 *9 (5.7)2 (11.1)0.61
Minor criteria ≥ 3 a:
Confusion/disorientation
Hypotension
Non-invasive ventilation
PaO2/FiO2 ≤ 250 mmHg
Multilobar infiltrates
BUN ≥ 20 mg/dL
WBC count < 4000 cells/mm3
Platelet count < 100,000 cells/mm3
56 (32)
22 (12.6)
7 (4)
21 (12)
93 (53.1)
88 (50.3)
74 (42.3)
10 (5.7)
14 (8)
44 (30.3)
15 (10.3)
3 (2)
19 (13.1)
77 (53.1)
65 (44.8)
62 (42.8)
10 (6.9)
13 (8.9)
12 (40)
7 (11.1)
4 (13.3)
2 (6.7)
16 (53.3)
23 (76.7)
12 (40)
0
1 (3.3)
0.3
0.07
0.02 *
0.38
0.98
0.001 *
0.78
0.21
0.47
49 (31.2)
18 (11.5)
6 (3.8)
20 (12.7)
84 (53.5)
72 (45.7)
64 (40.8)
9 (5.7)
13 (8.3)
7 (38.9)
4 (22.2)
1 (5.6)
1 (5.6)
9 (50)
16 (88.9)
10 (55.6)
1 (5.6)
1 (5.6)
0.51
0.25
1
0.48
0.78
0.001 *
0.23
1
1
Severe acute respiratory illness b78 (44.6)58 (40)20 (66.7)<0.007 *62 (39.5)16 (88.9)<0.001 *
Positive blood culture3 (1.7)0/110 (0)3/25 (82.8)0.006 *1 (0.6)2 (11.1)0.04 *
Bacterial coinfection30 (17.1)030-2370.02 *
Ribavirin treatment99 (56.6)79 (54.5)20 (66.7)0.2283 (52.9)16 (88.9)0.003 *
Systemic corticosteroids use52 (29.7)44 (30.3)8 (26.7)0.6942 (26.7)10 (55.6)0.01 *
Bronchodilator therapy157 (89.7)127 (87.6)30 (100)0.05 *139 (88.5)18 (100)0.22
Mortality at 30 days13 (7.4)8 (5.5)5 (16.7)0.05 *6 (3.8)7 (38.9)<0.001 *
Time to death-1.9 (0.6–5.8) c0.263.8 (1.2–11.9) c0.02 *
Length of stay in hospital, median (IQR), d9 (6–15)9 (6–13.5)13 (8.7–21)0.004 *9 (6–13)22 (15.2–37.7)<0.001 *
Hospital-free days d, median (IQR), d20 (13–23)21 (14.5–24)16 (3–20.2)0.002 *21 (16.5–24)0 (0–5.2)<0.001 *
Data are presented as mean ± SD or n (%), unless otherwise stated. IQR = interquartile range. a IDSA/ATS minor criteria for severe community-acquired pneumonia [17]. b Defined by IDSA/ATS criteria for severe community-acquired pneumonia [17]. c hazard ratio (95%CI) of time to death compared bacterial coinfection with no bacterial coinfection, and bacterial superinfection with no bacterial superinfection, analyzed by Cox regression analysis. d Number of days from admission to day 30 that the patient was not admitted to the hospital. * Statistically significant difference.
Table 3. Univariate and multivariate analyses of potential factors associated with bacterial coinfection and bacterial superinfection.
Table 3. Univariate and multivariate analyses of potential factors associated with bacterial coinfection and bacterial superinfection.
Factors Associated with Bacterial CoinfectionUnivariate ModelMultivariate Model
Odds Ratio95% CIp ValueOdds Ratio95% CIp Value
Age0.980.95–10.24---
Year of study
Diabetes mellitus
Confusion/disorientation
0.2
0.4
2.6
0.06–0.7
0.1–0.9
0.9–7.1
0.009 *
0.04 *
0.06
-
-
-
-
-
-
-
-
-
Multilobar infiltrates on chest radiograph41.6–100.003 *---
Vasopressor requirement71.9–24.80.003 *---
Invasive mechanical ventilation10.64.4–25.6<0.001 *12.14.7–31.4<0.001 *
Absolute neutrophil count > 6.9 cells × 103/mm32.51.1–5.60.02 *3.31.3–8.50.01 *
Factor Associated with Bacterial SuperinfectionHazard Ratio95% CIp ValueHazard Ratio95% CIp Value
Age10.97–1.10.43---
Year of study0.30.1–0.90.03 *---
ICU admission4.31.5–12.10.006 *---
Multilobar infiltrates on chest radiograph7.21.7–31.40.008 *---
Ribavirin treatment5.21.2–22.90.03 *---
Bacterial coinfection2.81.1–7.30.03 *---
Systemic corticosteroids use2.81.1–7.20.03 *3.11.2–8.10.02 *
Invasive mechanical ventilation9.53.4–26.2<0.001 *7.22.4–21.1<0.001 *
* Statistically significant difference.
Table 4. Causative pathogens of bacterial coinfection and bacterial superinfection.
Table 4. Causative pathogens of bacterial coinfection and bacterial superinfection.
Bacterial Coinfection
(n = 30)
Bacterial Superinfection
(n = 18)
SputumBloodTotalHAP a
(n = 2)
Ventilated HAP a
(n = 7)
VAP b
(n = 9)
Total
Positive blood culture-33 (10)----
Etiological diagnosis:
Streptococcus pneumoniae212 (6.7)----
Staphylococcus aureus6-6 (20)----
Haemophilus influenzae3-3 (10)----
Enterobacteriaceae:
Klebsiella pneumoniae3-3 (101--1 (5.6)
Escherichia coli111 (3.3)----
Others---1--1 (5.6)
Pasteurella multocida1-1 (3.3)----
Potentially drug-resistant bacteria:18119 (63.3)3 9 11 23 (100)
Pseudomonas aeruginosa9-9 (30)1 135 (27.8)
ESBL-positive Enterobacteriaceae c1-1 (3.3)-426 (33.3)
Acinetobacter spp.4-4 (13.3)1258 (44.4)
Stenotrophomonas maltophilia3-3 (10)1--1 (5.6)
Non-fermentative Gram-negative
rods
-11 (3.3)-112 (11.1)
Methicillin resistant
Staphylococcus aureus
1-1 (3.3)-1-1 (5.6)
Polymicrobials5-5 (16.7)2316 (33.3)
MDR d616 (20)1528 (34.8)
XDR e2-2 (6.7)1258 (34.8)
Data are presented as n (%). a Hospital-acquired pneumonia. b Ventilator-associated pneumonia (VAP). c ESBL: extended spectrum beta-lactamase. d MDR: Non-susceptible to ≥1 agent in ≥3 antimicrobial categories. e XDR: Non-susceptible to ≥1 agent in all but ≤2 antimicrobial categories.
Table 5. Initial antibiotic treatment and mortality within 30 days after admission of all patients hospitalized with respiratory syncytial virus-associated acute respiratory illness.
Table 5. Initial antibiotic treatment and mortality within 30 days after admission of all patients hospitalized with respiratory syncytial virus-associated acute respiratory illness.
All Patients Bacterial Coinfection No Bacterial Coinfection
Alive
(n = 162)
Dead
(n = 13)
p ValueAlive
(n = 25)
Dead
(n = 5)
p ValueAlive
(n = 137)
Dead
(n = 8)
p Value
Initial antibiotic treatment137 (84.6)13 (100)0.2225 (100)5 (100)-112 (81.7)8 (100)0.35
Inadequate initial antibiotic treatment a---5 (20)2 (40)0.56---
Antibiotic classes:
Nonantipseudomonas
β-lactams only
7 (4.3)00.6600-7 (5.1)01
Antipseudomonas
β-lactams
51 (31.5)7 (53.8)0.1317 (68)2 (40)0.3334 (24.8)5 (62.5)0.03 *
Macrolide74 (45.7)5 (38.5)0.6113 (52)2 (40)161 (44.5)3 (37.5)0.73
Quinolone only17 (10.5)2 (15.4)0.643 (12)1 (20)114 (10.2)1 (12.5)1
Atypical pathogen coverage98 (60.5)8 (61.5)0.9417 (68)3 (60)181 (59.1)5 (62.5)1
Guideline concordant Therapy b75 (46.3)6 (46.1)0.9914 (56)2 (40)0.6461 (44.5)4 (50)1
Duration of initial antibiotics treatment, median (IQR), d6.5 (4–7)6 (4.5–7)0.567 (5.5–7.5)6 (4.5–9.5)0.326 (3–7)7 (3.7–7)0.34
Duration of initial antibiotics treatment < 5 days55 (33.9)3 (23.1)0.553 (12)1 (20)152 (37.9)2 (25)0.71
Data are presented as mean ± SD or n (%), unless otherwise stated. a Pathogens detected were not susceptible to the antibiotics administered within 24 h of presentation. b The 2019 ATS/IDSA guideline on the management of community-acquired pneumonia in adults. * Statistically significant difference.
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Wongsurakiat, P.; Sunhapanit, S.; Muangman, N. Bacterial Coinfection and Superinfection in Respiratory Syncytial Virus-Associated Acute Respiratory Illness: Prevalence, Pathogens, Initial Antibiotic-Prescribing Patterns and Outcomes. Trop. Med. Infect. Dis. 2023, 8, 148. https://doi.org/10.3390/tropicalmed8030148

AMA Style

Wongsurakiat P, Sunhapanit S, Muangman N. Bacterial Coinfection and Superinfection in Respiratory Syncytial Virus-Associated Acute Respiratory Illness: Prevalence, Pathogens, Initial Antibiotic-Prescribing Patterns and Outcomes. Tropical Medicine and Infectious Disease. 2023; 8(3):148. https://doi.org/10.3390/tropicalmed8030148

Chicago/Turabian Style

Wongsurakiat, Phunsup, Siwadol Sunhapanit, and Nisa Muangman. 2023. "Bacterial Coinfection and Superinfection in Respiratory Syncytial Virus-Associated Acute Respiratory Illness: Prevalence, Pathogens, Initial Antibiotic-Prescribing Patterns and Outcomes" Tropical Medicine and Infectious Disease 8, no. 3: 148. https://doi.org/10.3390/tropicalmed8030148

APA Style

Wongsurakiat, P., Sunhapanit, S., & Muangman, N. (2023). Bacterial Coinfection and Superinfection in Respiratory Syncytial Virus-Associated Acute Respiratory Illness: Prevalence, Pathogens, Initial Antibiotic-Prescribing Patterns and Outcomes. Tropical Medicine and Infectious Disease, 8(3), 148. https://doi.org/10.3390/tropicalmed8030148

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