Skip to main content

Clinical features and outcomes of influenza and RSV coinfections: a report from Canadian immunization research network serious outcomes surveillance network

Abstract

Background

Influenza and RSV coinfections are not commonly seen but are concerning as they can lead to serious illness and adverse clinical outcomes among vulnerable populations. Here we describe the clinical features and outcomes of influenza and RSV coinfections in hospitalized adults.

Methods

A cohort study was performed with pooled active surveillance in hospitalized adults ≥ 50 years from the Serious Outcomes Surveillance Network of the Canadian Immunization Research Network (CIRN SOS) during the 2012/13, 2013/14, and 2014/15 influenza seasons. Descriptive statistics summarized the characteristics of influenza/RSV coinfections. Kaplan-Meier estimated the probability of survival over the first 30 days of hospitalization.

Results

Over three influenza seasons, we identified 33 cases of RSV and influenza coinfection, accounting for 2.39 cases per 1,000 hospitalizations of patients with acute respiratory illnesses. Adults aged 50 + years commonly reported cough (81.8%), shortness of breath (66.7%), sputum production (45.5%), weakness (33.3%), fever (27.3%), and nasal congestion (24.2%) as constitutional and lower respiratory tract infection symptoms. The mortality rate was substantial (12.1%), and age, comorbidity burden, and frailty were associated with a higher risk for adverse clinical outcomes.

Conclusions

Older adults are at higher risk for complications from influenza and RSV coinfections, especially those over 65 with a high comorbidity burden and frailty.

Peer Review reports

Background

Respiratory syncytial virus (RSV) and influenza are respiratory viral infections that can cause serious illness in vulnerable individuals, especially those with a weakened immune system or other underlying comorbidities [1]. The seasonality of RSV varies somewhat between years and geographical locations. Like the influenza virus, epidemics of RSV are generally observed in temperate climates during the winter months; however, this is less predictable in tropical and subtropical regions [2]. Additionally, the pattern of occurrence of RSV epidemics can vary significantly between countries and regions within a country. Influenza virus typically peaks between late fall and early spring, and while there is overlap between influenza and RSV seasonality, there can be some temporal variations in the distribution of cases annually [3]. Coinfection with respiratory viruses, including RSV and influenza, is possible, as both are spread seasonally via contact with infected individuals or objects contaminated with viral particles [4, 5]. Infection with either virus is a serious concern as it can lead to severe illness and adverse clinical outcomes, particularly among older adults with comorbidities [6].

Both disease severity and the risk of hospitalization after infection increase with age [1]. Thus, the epidemiology of RSV and influenza in older adults is essential when considering prevention measures [7, 8]. Vaccination and infection control measures are the main preventive strategies for reducing RSV and influenza coinfection risk. In May 2023, the US Food and Drug Administration approved the first two vaccines to prevent RSV in adults aged 60 and over [9]. Meanwhile, vaccination against influenza is highly recommended to prevent infection, reduce its severity if contracted, and help prevent its transmission to others [10]. Management of RSV and influenza coinfection involves supportive care and antiviral medications, but clinical profiles of patients with coinfection and their outcomes are not well understood [10].

This report describes the demographic and clinical characteristics, disease presentation, and outcomes of older adults hospitalized with a laboratory-confirmed RSV and influenza coinfection. Specifically, our objectives were to determine this population’s clinical features and presenting characteristics and to investigate the clinical outcomes observed during the hospital stay of these patients.

Methods

Study design and participants

This study used pooled data from the Serious Outcomes Surveillance (SOS) Network of the Canadian Immunization Research Network (CIRN). As presented in detail elsewhere, the SOS network has conducted active inpatient surveillance with a focus on influenza in Canadian hospitals since 2009 [11]. The present study used data from influenza seasons in which respiratory virus tests were performed on a multiplex platform [12, 13]: 2012/2013, 2013/2014, and 2014/2015 (pooled sample size, N = 13,797). In these seasons, active surveillance was conducted in five Canadian provinces (British Columbia, Ontario, Quebec, New Brunswick, and Nova Scotia). This secondary analysis of the CIRN SOS Network database used data from hospitalized adults aged 50 + with broadly defined acute respiratory illness. The eligibility criteria were (1) available data on multiplex respiratory virus testing, (2) sociodemographic and clinical features/outcomes, and (3) a positive result on multiplex respiratory virus testing for both RSV and influenza. There were no exclusion criteria.

Participants provided informed consent for data, sample collection, and medical record screening per the local Research Ethics Boards’ requirements. The Research Ethics Boards approved the protocol of participating institutions (ClinicalTrials.gov Identifier: NCT01517191).

Variables

CIRN SOS Network follows a standardized protocol for data collection. Demographic data included sex, age, and the person’s residential location before hospital admission. Health-related data included: smoking status, signs and symptoms present at hospital admission (feverishness, nasal congestion, headache, abdominal pain, malaise, cough, diarrhea, weakness, shortness of breath, vomiting, dizziness, sore throat, nausea, muscle aches, arthralgia, prostration, seizures, myalgia, sneezing, conjunctivitis, sputum production, chest pain, encephalitis, nose bleed, altered consciousness, chills, and anorexia), a requirement for assistance with tasks of everyday life and the types of help needed, as well as the need for extra support with activities of daily living. Influenza vaccination status was classified as “current season vaccination” for those who received a current season influenza vaccine more than 14 days before symptom onset, “vaccination in prior seasons only” for those who received a flu vaccine the flu in previous seasons but not the current one, and “never vaccinated” otherwise.

Comorbidity burden and frailty assessment

We assessed the burden of comorbidities using Quan’s Updated Charlson Comorbidity Index, considering it a continuous score and a categorical variable with a cut-off ≥ 4, indicating a 10-year mortality risk ≥ 5% [14]. The composition of the comorbidity variable is described in detail in the Supplementary Material.

We also used a combination of specific age-dependent diseases, disabilities, and functionality to assess individuals’ frailty levels. As previously described in the CIRN SOS Network dataset [15], the total deficit score was the individual’s accumulation of deficits. We converted the deficit score to a frailty index (FI), ranging from 0 to 1 (i.e., FI = (deficit score/n), where n is the number of components extracted from age-dependent diseases, disabilities, and functionality. Frailty was assessed as a three-level categorical variable, according to pre-established cut-offs: non-frail (FI < 0.08), pre-frail (FI ≥ 0.08 and FI < 0.21), and frail (FI ≥ 0.21) [16].

Cases definitions

A nasopharyngeal (NP) swab was obtained from all patients presenting with symptom onset < = 7 days and an admitting diagnosis compatible with acute respiratory illness, including community-acquired pneumonia, exacerbation of Chronic Obstructive Pulmonary Disease or asthma, unexplained sepsis, any respiratory diagnosis or symptom, or patients with fever (≥ 37.5˚C) presenting with acute coronary syndrome, stroke or any other cardiac diagnosis. Patients with positive NP swabs for influenza were enrolled as cases. For each case, up to two control patients were enrolled who had negative NP swabs. Cases and controls were matched according to age strata (≥ 65y or < 65y) and admission date (within 14 days). Samples from the nasopharynx were used to confirm RSV and influenza infections. WHO-validated real-time RT-PCR was employed to detect influenza A viruses (H1N1 and H3N2 subtypes) and influenza B viruses (Yamagata and Victoria lineages). The Seeplex RV15 One-Step ACE Detection kit was used to identify other respiratory virus aetiologies, including RSV [12, 13].

Outcomes

Patients were followed from their hospitalization until their hospital discharge or death. The outcomes that were recorded included both the overall and the 30-day mortality, length of hospital stay, and complications (non-invasive ventilation, mechanical ventilation, admission to an Intermediate Care Unit [IMCU] and Intensive Care Unit [ICU]).

Statistical analysis

Descriptive statistics summarized the sociodemographic and clinical characteristics of the cases. For the survival analysis, deaths after 30 days of hospitalization were right-censored; the Kaplan-Meier analysis estimated the probability of survival over the first 30 days.

A logistic regression model was used to predict 30-day mortality based on age, comorbidity burden, and frailty index. Heteroskedasticity-consistent standard errors (HC1) were used to allow the fitting of the model in the presence of heteroskedastic residuals. All analyses were conducted using was performed in R (version 4.2.2) using RStudio IDE (RStudio 2022.12.0 + 353 “Elsbeth Geranium” release).

Results

Thirty-three cases of RSV and influenza coinfection were identified in the database. To compare the prevalence of respiratory viruses over the seasons, a total of 8,458 patients were enrolled with data available on multiplex respiratory virus testing. Out of these, 781 patients had missing information on sociodemographic and clinical data and were excluded from the analysis. The remaining 7,677 patients were considered, out of which 3,644 patients were found to be positive for respiratory viruses, with the majority (90%) having Influenza. The selection process for study participants is illustrated in Supplementary Material Figure S1.

Table 1 shows the sociodemographic and clinical characteristics of the cases. The median age was 73 years, with a predominance of females. Most participants over 65 years old were females (66.7%) with a median age of 80.5 years [interquartile range of 68.5 to 87.75]. Most individuals reported living in a private community house and denied a smoking history. The comorbidity burden was relatively low, with 15.2% of the patients presenting a high mortality risk due to their comorbidity (i.e., a CCI score above 4). A detailed description and distribution of comorbid conditions can be found in the supplementary material (Table S1 and Figure S2 and S3). Among those with a CCI score above 4, males were the most common (60%) with a median age of 78 years [interquartile range of 76 to 80]. Frailty status was high, with more than half being considered frail (i.e., FI ≥ 0.21) and requiring regular support for daily living activities. Frail participants were mostly females (64.7%) with a median age of 82 years [interquartile range of 76 to 87]. Influenza A H3N2 was the most common isolated influenza subtype, though there was no information on viral subtype in about one-fourth of the influenza A cases; RSV B composed most of the RSV strains. In addition, most individuals reported receiving the vaccine against influenza in the current or past seasons and received antiviral treatment upon hospitalization.

Table 1 Sociodemographic and clinical characteristics of the cases

Figure 1 demonstrates the presenting characteristics of cases: cough (27/81.8%), shortness of breath (22/66.7%), sputum production (15/45.5%), weakness (11/33.3%), feverishness (9/27.3%) and nasal congestion (8/24.2%) were present in more than 20% of the cases. Altered consciousness, chills, headache, and nausea were reported in 18.2% of cases, followed by anorexia and malaise in 15.2% and muscle aches in 12.1%. Other complaints (vomiting, chest pain, diarrhea, myalgia, prostration, and seizures) were reported between 1 and 10% percentage rate, while abdominal pain, arthralgia, conjunctivitis, encephalitis, nosebleed, sneezing, and sore throat had no reports.

Fig. 1
figure 1

Presenting characteristics of the cases

Table 2 shows the clinical outcomes observed during the hospital stay. The length of stay varied from 2 to 148 days, with a median of 9 days [1st, 3rd quartile of 4, 20]. The overall mortality was 12.1%, and all the events occurred after the 20th day of hospitalization. The estimated survival probability for deaths occurring before 30 days of hospitalization at day 21 was 85.7% (95% Confidence Interval [CI], 13.2 − 63.3%), and at day 30 was 68.6% (95% CI, 18.6 − 40.3%) (Fig. 2). Of the patients, 27.1% experienced at least one complication during their hospital stay, with the most common being admission to an ICU (21.2%), followed by mechanical ventilation (15.2%) and non-invasive ventilation (9.1%).

Table 2 Clinical outcomes observed during the hospital stay
Fig. 2
figure 2

The Kaplan-Meier 30-day survival curve

We conducted a logistic regression analysis to predict 30-day mortality based on age, comorbidity burden, and frailty. To prevent any bias that may arise from a particular category having more outcomes, we treated age, CCI score, and FI as continuous variables. The analysis showed that only frailty was significantly associated with 30-day mortality (p = 0.03), while age and comorbidity burden were not (p = 0.16 and 0.82, respectively).

Discussion

This report presents the clinical characteristics and outcomes of thirty-three Influenza and RSV coinfection cases registered in the CIRN SOS Network database between 2012 and 2014 out of a total of 3,644 patients who tested positive for a respiratory virus. All coinfection cases occurred in adults aged fifty years and above, with the most common symptoms being constitutional and lower respiratory tract infections. The overall mortality rate of the coinfection cases was significant, at 12.1%, which is higher than most prior reports of either infection alone [12].

Coinfections of the influenza virus with RSV are uncommon but a grave concern in older adults due to the high likelihood of adverse clinical outcomes. Despite this, little is known about coinfection cases’ sociodemographic and clinical characteristics. The first series of influenza virus co-infections with RSV was described in 2020, in which demographic and clinical data from 19 Chinese patients were compared with a control group of patients who were infected with influenza or RSV [5]. The study had several limitations, particularly analytical ones - the authors focused on comparing the characteristics of coinfection cases with those monoinfected in a small sample size. Here, we focused on extensively describing the sociodemographic and clinical characterization of cases of coinfection with influenza and RSV. Our findings agree with a previous report indicating the disease burden among Canadian adults aged 50 and older hospitalized with RSV [12]. This aspect is fundamental to demonstrate that coinfection is indistinguishable from isolated infection with other respiratory viruses regarding symptomatology and to point out the difficulty of establishing a clinical diagnosis for coinfections. This evidence has important implications for clinicians because search-satisfaction bias may stop searching for additional infecting agents after identifying one using sequential testing protocols [17]. This issue will become more relevant as specific therapeutic options become available for each respiratory virus. Moreover, from a sociodemographic perspective, all circumstances occurred in individuals aged 50 or above, requiring special consideration.

The mortality was high in this cohort of patients with coinfection, at 12.1%. This rate is higher than mortality reports in comparable hospitalized populations with one of these viruses at a time. For example, mortality among adults with laboratory-confirmed influenza in the CIRN SOS Network during the 2014/15 season was reported to be 7.9% [18]. Another recent report from our network comparing outcomes from RSV and influenza in the same seasons reported here, 30 days mortality from RSV cases was 6.1% compared to 8.7% for influenza A and 9.1% for influenza B [12]. The cumulative mortality rate over these three years is comparable to the annual mortality rate reported by other studies of RSV mortality in patients with comorbidities [19]. A study based on administrative data in Ontario, Canada, reported death rates among hospitalized patients (all ages) of 7.0% for influenza and 2.9% for RSV [20]. However, data from this paper demonstrated higher mortality when limited to only adults aged 20+ (8.2% for influenza and 10.1% for RSV) [20].

Interpretation of results from active vs. passive/administrative surveillance systems can be complex, given that both viral illnesses likely suffer under-detection due to a lack of universal testing protocols and reliance on clinician recognition of the need to test [21]. Whether this higher mortality is attributable to coinfection vs. older age in those presenting with coinfection (given that mortality increases with age in single and coinfections) is worthy of further investigation.

We found that age over 65 and a high burden of comorbidities (i.e., CCI score > 4) were independently associated with mortality, adverse clinical outcomes, and longer length of stay (both overall and in ICU). Aging is a complex process that affects the functioning and regulation of the immune system: there is an involution of primary lymphoid organs, impairment of phagocytic function, increased levels of pro-inflammatory cytokines, and reduction of naive T and B lymphocytes, accompanied by an increase in dysfunctional lymphocytes [22]. These changes in immune responses, combined with underlying health conditions that increase susceptibility and further impact recovery potential, are linked to greater vulnerability to infections and adverse outcomes. Moreover, older adults, especially those 65 years and older, are at higher risk for severe complications and hospitalization from influenza and RSV mono-infections than younger individuals [23]. Our results agree with these findings, adding to the literature information on predictors of adverse clinical outcomes among older adults with RSV and influenza coinfection.

However, age alone is insufficient to explain the diversity of manifestations and clinical outcomes of individuals of the same age [24]. To address this gap, a broad and holistic approach may help to understand the interaction between various aspects of immune aging and the accumulated effect of changes in health that occur throughout each individual’s life that confer greater vulnerability to infections and adverse outcomes – this is the concept of frailty [25]. Studies have shown that frailty is associated with adverse clinical outcomes in older adults with infectious diseases [26]. Here we found that in cases of influenza and RSV coinfection, frailty was associated with a more severe illness course and a higher risk of complications, hospitalization, and mortality, highlighting the importance of identifying and managing frailty in this population to improve their health outcomes. Frailty was found to be the only significant factor associated with 30-day mortality (p = 0.03), while age and comorbidity burden were not significant (p = 0.16 and 0.82, respectively) according to logistic regression analysis.

When interpreting the results, one must consider the limitations of this study. The sample size of coinfected patients is relatively small, so generalizations must be made cautiously. The small number of coinfections does not allow for some more detailed assessments of important geriatric outcomes, including changes in frailty and functional status. Additionally, not all sites and seasons of the CIRN SOS Network included multiplex testing for respiratory viruses, potentially leading to bias in epidemiological interpretations. Moreover, the RV15 multiplex testing was used to identify RSV as an endpoint of conventional RT-PCR, so it is likely that some coinfections were missed, as real-time RT-PCR would have been more sensitive. Another limitation is that CIRN SOS surveillance focused on nasopharyngeal swabs, so it is conceivable that some severe cases were missed due to the absence of upper tract swabs that may be negative, even if the lower tract was positive. Despite this limitation, the data set used in this study was extensive: 13,797 patients admitted to the CIRN SOS network with acute respiratory infections were screened, and more than half of the patients (55.4%) underwent multiplex testing.

Conclusions

Older adults, especially those over 65 with high comorbidity burden and frailty, are at high risk for complications from influenza and RSV coinfections. Clinical diagnosis is unreliable due to similar symptom burdens with single and coinfections. As specific therapeutic and prevention products come into use for individual respiratory viruses, it will be essential to consider comprehensive testing strategies to detect cases of coinfection and improve outcomes, particularly for those most at risk.

Availability of data and materials

The datasets generated and/or analysed during the current study are not publically available due to the confidential nature of the data obtained from patients, however, datasets are available through the corresponding author on reasonable request.

References

  1. Ackerson B, Tseng HF, Sy LS, Solano Z, Slezak J, Luo Y, Fischetti CA, Shinde V. Severe morbidity and mortality associated with respiratory syncytial virus versus influenza infection in hospitalized older adults. Clin Infect Dis. 2019;69(2):197–203.

    Article  CAS  PubMed  Google Scholar 

  2. Staadegaard L, Caini S, Wangchuk S, Thapa B, de Almeida WAF, de Carvalho FC, Fasce RA, Bustos P, Kyncl J, Novakova L, et al. Defining the seasonality of respiratory syncytial virus around the world: National and subnational surveillance data from 12 countries. Influenza Other Respir Viruses. 2021;15(6):732–41.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Li Y, Reeves RM, Wang X, Bassat Q, Brooks WA, Cohen C, Moore DP, Nunes M, Rath B, Campbell H, et al. Global patterns in monthly activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus: a systematic analysis. Lancet Glob Health. 2019;7(8):e1031-1045.

    Article  PubMed  Google Scholar 

  4. Falsey AR, McElhaney JE, Beran J, van Essen GA, Duval X, Esen M, Galtier F, Gervais P, Hwang SJ, Kremsner P, et al. Respiratory syncytial virus and other respiratory viral infections in older adults with moderate to severe influenza-like illness. J Infect Dis. 2014;209(12):1873–81.

    Article  PubMed  Google Scholar 

  5. Zhang Y, Zhao J, Zou X, Fan Y, Xiong Z, Li B, Wang C, Li H, Han J, Liu X, et al. Severity of influenza virus and respiratory syncytial virus coinfections in hospitalized adult patients. J Clin Virol. 2020;133: 104685.

    Article  PubMed  Google Scholar 

  6. Jain S, Self WH, Wunderink RG, Fakhran S, Balk R, Bramley AM, Reed C, Grijalva CG, Anderson EJ, Courtney DM, et al. Community-acquired pneumonia requiring hospitalization among U.S. adults. N Engl J Med. 2015;373(5):415–27.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Berry L, Lansbury L, Gale L, Carroll AM, Lim WS. Point of care testing of Influenza A/B and RSV in an adult respiratory assessment unit is associated with improvement in isolation practices and reduction in hospital length of stay. J Med Microbiol. 2020;69(5):697–704.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Korsten K, Adriaenssens N, Coenen S, Butler C, Ravanfar B, Rutter H, Allen J, Falsey A, Pircon JY, Gruselle O, et al. Burden of respiratory syncytial virus infection in community-dwelling older adults in Europe (RESCEU): an international prospective cohort study. Eur Respir J. 2021;57(4):2002688.

    Article  PubMed  Google Scholar 

  9. Melgar M, Britton A, Roper LE, Talbot HK, Long SS, Kotton CN, Havers FP. Use of respiratory syncytial virus vaccines in older adults: recommendations of the advisory committee on immunization practices - United States, 2023. MMWR Morb Mortal Wkly Rep. 2023;72(29):793–801.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Reeves RM, van Wijhe M, Lehtonen T, Stona L, Teirlinck AC, Vazquez Fernandez L, Li Y, Osei-Yeboah R, Fischer TK, Heikkinen T, et al. A systematic review of European clinical practice guidelines for respiratory syncytial virus prophylaxis. J Infect Dis. 2022;226(Suppl 1):110-S116.

    Article  Google Scholar 

  11. Nichols MK, Andrew MK, Hatchette TF, Ambrose A, Boivin G, Bowie W, Chit A, Dos Santos G, ElSherif M, Green K, et al. Influenza vaccine effectiveness to prevent influenza-related hospitalizations and serious outcomes in Canadian adults over the 2011/12 through 2013/14 influenza seasons: a pooled analysis from the Canadian Immunization Research Network (CIRN) Serious outcomes Surveillance (SOS Network). Vaccine. 2018;36(16):2166–75.

    Article  PubMed  Google Scholar 

  12. ElSherif M, Andrew MK, Ye L, Ambrose A, Boivin G, Bowie W, David MP, Gruselle O, Halperin SA, Hatchette TF, et al. Leveraging Influenza Virus Surveillance from 2012 to 2015 to characterize the burden of respiratory syncytial virus disease in Canadian adults >/=50 years of age hospitalized with acute respiratory illness. Open Forum Infect Dis. 2023;10(7):ofad315.

    Article  PubMed  PubMed Central  Google Scholar 

  13. LeBlanc JJ, ElSherif M, Mulpuru S, Warhuus M, Ambrose A, Andrew M, Boivin G, Bowie W, Chit A, Dos Santos G, et al. Validation of the Seegene RV15 multiplex PCR for the detection of influenza A subtypes and influenza B lineages during national influenza surveillance in hospitalized adults. J Med Microbiol. 2020;69(2):256–64.

    Article  CAS  PubMed  Google Scholar 

  14. Quan H, Li B, Couris CM, Fushimi K, Graham P, Hider P, Januel JM, Sundararajan V. Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol. 2011;173(6):676–82.

    Article  PubMed  Google Scholar 

  15. Andrew MK, Shinde V, Ye L, Hatchette T, Haguinet F, Dos Santos G, McElhaney JE, Ambrose A, Boivin G, Bowie W, et al. The importance of frailty in the assessment of influenza vaccine effectiveness against influenza-related hospitalization in elderly people. J Infect Dis. 2017;216(4):405–14.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Hoover M, Rotermann M, Sanmartin C, Bernier J. Validation of an index to estimate the prevalence of frailty among community-dwelling seniors. Health Rep. 2013;24(9):10–7.

    PubMed  Google Scholar 

  17. Hammond MEH, Stehlik J, Drakos SG, Kfoury AG. Bias in medicine: lessons learned and mitigation strategies. JACC Basic Transl Sci. 2021;6(1):78–85.

    Article  PubMed  PubMed Central  Google Scholar 

  18. McNeil SA, Andrew MK, Ye L, Haguinet F, Hatchette TF, ElSherif M, LeBlanc J, Ambrose A, McGeer A, McElhaney JE, et al. Interim estimates of 2014/15 influenza vaccine effectiveness in preventing laboratory-confirmed influenza-related hospitalisation from the serious outcomes surveillance network of the Canadian immunization research network, January 2015. Euro Surveill. 2015;20(5):21024.

    Article  CAS  PubMed  Google Scholar 

  19. Shi T, Vennard S, Jasiewicz F, Brogden R, Nair H, Investigators R. Disease Burden estimates of respiratory syncytial virus related acute respiratory infections in adults with comorbidity: a systematic review and meta-analysis. J Infect Dis. 2022;226(Suppl 1):17-S21.

    Article  Google Scholar 

  20. Hamilton MA, Liu Y, Calzavara A, Sundaram ME, Djebli M, Darvin D, Baral S, Kustra R, Kwong JC, Mishra S. Predictors of all-cause mortality among patients hospitalized with influenza, respiratory syncytial virus, or SARS-CoV-2. Influenza Other Respir Viruses. 2022;16(6):1072–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Andrew MK, McElhaney JE, McGeer AA, Hatchette TF, Leblanc J, Webster D, Bowie W, Poirier A, Nichols MK, McNeil SA, et al. Influenza surveillance case definitions miss a substantial proportion of older adults hospitalized with laboratory-confirmed influenza: a report from the Canadian Immunization Research Network (CIRN) Serious outcomes Surveillance (SOS) Network. Infect Control Hosp Epidemiol. 2020;41(5):499–504.

    Article  PubMed  Google Scholar 

  22. McElhaney JE, Effros RB. Immunosenescence: what does it mean to health outcomes in older adults? Curr Opin Immunol. 2009;21(4):418–24.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Kaaijk P, Swaans N, Nicolaie AM, Bruin JP, van Boxtel RAJ, de Lange MMA, Meijer A, Sanders EAM, van Houten MA, Rots NY, et al. Contribution of Influenza viruses, other respiratory viruses and viral co-infections to influenza-like illness in older adults. Viruses. 2022;14(4):797.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Mitnitski AB, Mogilner AJ, Rockwood K. Accumulation of deficits as a proxy measure of aging. ScientificWorldJournal. 2001;1:323–36.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Mitnitski A, Rockwood K. Aging as a process of deficit accumulation: its utility and origin. Interdiscip Top Gerontol. 2015;40:85–98.

    Article  PubMed  Google Scholar 

  26. Fernando SM, McIsaac DI, Perry JJ, Rochwerg B, Bagshaw SM, Thavorn K, Seely AJE, Forster AJ, Fiest KM, Dave C, et al. Frailty and Associated Outcomes and Resource utilization among older ICU patients with suspected infection. Crit Care Med. 2019;47(8):e669-676.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors thank the dedicated Serious Outcomes Surveillance Network monitors, whose tremendous efforts made this study possible.

Funding

Funding for this study was provided by the Public Health Agency of Canada and the Canadian Institutes of Health Research to the Canadian Immunization Research Network and during some seasons through an investigator-initiated Collaborative Research Agreement with GlaxoSmithKline Biologicals SA. Additional funding was obtained through a grant from the Foundation for Influenza Epidemiology under the auspices of the Fondation de France. The authors are solely responsible for the final content and interpretation. The authors received no financial support or other forms of compensation related to the development of the manuscript, and the funders were not involved in analyses, interpretation of findings, or manuscript writing.

Author information

Authors and Affiliations

Authors

Consortia

Contributions

HP and MKA conceived of the study. HP conducted the analyses and wrote the initial draft. MKA, SAM, JL, TFH and ME provided critical insight into interpretation of analyses and contributed manuscript revisions. All authors approved the final manuscript.

Corresponding author

Correspondence to Henrique Pott.

Ethics declarations

Ethics approval and consent to participate

All participants provided informed consent for data, sample collection, and medical record screening per the local Research Ethics Boards’ requirements. The Research Ethics Boards approved the protocol of participating institutions (ClinicalTrials.gov Identifier: NCT01517191).

Consent for publication

Not applicable.

Competing interests

HP reports grant funding from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001. TFH reports grants from Pfizer and GSK, outside the submitted work. SAM reports grants and payments from Pfizer, GSK, Merck, Novartis and Sanofi, outside the submitted work. MK Andrew reports grant funding from the GSK group of companies, Pfizer and Sanofi Pasteur and honoraria for past ad-hoc advisory activities from Pfizer, Sanofi and Seqirus, all unrelated to the present manuscript. JL and ME report no conflicts of interest.

Additional information

Publisher’s Note

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

Supplementary Information

Additional file 1: Figure S1.

Flowchart illustrating the process for selecting study participants. Table S1. Absolute and Relative Frequency of Comorbid Conditions in the Charlson Comorbidity Index Among Study Participants. Figure S2. Relative Frequency of Comorbid Conditions in the Charlson Comorbidity Index Among Study Participants. Figure S3. The frequency at which different values of the Charlson Comorbidity Index appear among the participants in the study.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pott, H., J. LeBlanc, J., S. ElSherif, M. et al. Clinical features and outcomes of influenza and RSV coinfections: a report from Canadian immunization research network serious outcomes surveillance network. BMC Infect Dis 24, 147 (2024). https://doi.org/10.1186/s12879-024-09033-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12879-024-09033-5

Keywords