Streptococcus pneumoniae coinfection is correlated with the severity of H1N1 pandemic influenza
Open accessAbstract
BACKGROUND: Initial reports in May 2009 of the novel influenza strain H1N1pdm estimated a case fatality rate (CFR) of 0.6%, similar to that of seasonal influenza. In July 2009, however, Argentina reported 3056 cases with 137 deaths, representing a CFR of 4.5%. Potential explanations for increased CFR included virus reassortment or genetic drift, or infection of a more vulnerable population. Virus genomic sequencing of 26 Argentinian samples representing both severe and mild disease indicated no evidence of reassortment, mutations associated with resistance to antiviral drugs, or genetic drift that might contribute to virulence. Furthermore, no evidence was found for increased frequency of risk factors for H1N1pdm disease. METHODS/PRINCIPAL FINDINGS: We examined nasopharyngeal swab samples (NPS) from 199 cases of H1N1pdm infection from Argentina with MassTag PCR, testing for 33 additional microbial agents. The study population consisted of 199 H1N1pdm-infected subjects sampled between 23 June and 4 July 2009. Thirty-nine had severe disease defined as death (n = 20) or hospitalization (n = 19); 160 had mild disease. At least one additional agent of potential pathogenic importance was identified in 152 samples (76%), including Streptococcus pneumoniae (n = 62); Haemophilus influenzae (n = 104); human respiratory syncytial virus A (n = 11) and B (n = 1); human rhinovirus A (n = 1) and B (n = 4); human coronaviruses 229E (n = 1) and OC43 (n = 2); Klebsiella pneumoniae (n = 2); Acinetobacter baumannii (n = 2); Serratia marcescens (n = 1); and Staphylococcus aureus (n = 35) and methicillin-resistant S. aureus (MRSA, n = 6). The presence of S. pneumoniae was strongly correlated with severe disease. S. pneumoniae was present in 56.4% of severe cases versus 25% of mild cases; more than one-third of H1N1pdm NPS with S. pneumoniae were from subjects with severe disease (22 of 62 S. pneumoniae-positive NPS, p = 0.0004). In subjects 6 to 55 years of age, the adjusted odds ratio (OR) of severe disease in the presence of S. pneumoniae was 125.5 (95% confidence interval [CI], 16.95, 928.72; p<0.0001). CONCLUSIONS/SIGNIFICANCE: The association of S. pneumoniae with morbidity and mortality is established in the current and previous influenza pandemics. However, this study is the first to demonstrate the prognostic significance of non-invasive antemortem diagnosis of S. pneumoniae infection and may provide insights into clinical management.
AI snapshot
Written from the paper’s full text.
TL;DR
In 199 Argentine H1N1pdm cases, *Streptococcus pneumoniae* coinfection was strongly associated with severe disease, especially in subjects aged 6–55 years (adjusted OR 125.5). The study suggests non-invasive antemortem detection of *S. pneumoniae* may have prognostic value for H1N1pdm severity.
Key findings
- Among 199 H1N1pdm-positive nasopharyngeal swab samples, at least one additional potential pathogen was detected in 152 (76%); *S. pneumoniae* was found in 62 (35.5%).
- *S. pneumoniae* was present in 56.4% of severe cases versus 25.0% of mild cases; 22 of 62 *S. pneumoniae*-positive samples were from severe cases (p = 0.0004). In subjects aged 6–55 years, the adjusted odds ratio for severe disease with *S. pneumoniae* was 125.5 (95% CI 16.95–928.72; p < 0.0001).
- *H. influenzae* was common overall (104/199, 52.3%) but less frequent in severe disease (9/39, 23.1%) than mild disease (95/160, 59.4%; p < 0.0001). RSV A was more common in severe cases (6/39, 15.4%) than mild cases (5/160, 3.1%; p = 0.0085).
- Of 45 subjects with bacterial respiratory pathogens other than *S. pneumoniae* or *H. influenzae*, 44 had mild disease (97.8%; p = 0.0004). Among 96 subjects receiving oseltamivir alone, 10 (10.4%) had severe disease, whereas 13 of 14 patients (92.9%) receiving antibiotics without antiviral medication had severe disease (p < 0.0001).
Methods
- Nasopharyngeal swab samples from 199 H1N1pdm-infected subjects in Argentina, collected 23 June–4 July 2009; 39 had severe disease (death n = 20 or hospitalization n = 19) and 160 had mild disease.
- H1N1pdm was confirmed by WHO-approved real-time PCR; samples were tested by MassTag PCR for 33 additional viral and bacterial respiratory pathogens.
- Group comparisons used Mann-Whitney U and Fisher’s exact tests; multivariable logistic regression stratified by age risk category adjusted for RSV A, total number of agents detected, and presence of a medical risk factor.
Limitations
- The paper states that information on passive tobacco smoke exposure, older siblings, and personal/familial atopic background was unavailable, and that underreporting of milder infections could not be excluded as an explanation for Argentina’s elevated case fatality rate.
- Evident from the text: the observational design cannot establish causality, and severe and mild samples were randomly selected from different repositories (1769 severe cases vs. 1282 mild cases), which may introduce selection or confounding.
- Evident from the text: missing data for age (181/199), sex (184/199), and antimicrobial use (120/199), plus the very wide adjusted OR confidence interval (16.95–928.72), suggest limited precision and possible sparse-data instability.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 12 cited sources checked · 0 supported · 0 flagged
- Findingown data
The significance of the relationship between S. pneumoniae and severe disease was restricted to patients in the low risk age group (6-55 years).
“The significance of the relationship between S. pneumoniae and severe disease was restricted to patients in the low risk age group (p<0.0001; Table 3 ).”
- Also stated in: § Discussion · plain
“The risk associated with S. pneumoniae is particularly prominent in 6-to-55 year-old individuals.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
More than one-third of H1N1pdm NPS samples positive for S. pneumoniae were from subjects with severe disease (22 of 62, p = 0.0004).
“more than one-third of H1N1pdm NPS with S. pneumoniae were from subjects with severe disease (22 of 62 S. pneumoniae-positive NPS, p = 0.0004).”
- Also stated in: § MassTag PCR assays · plain
“more than one-third of H1N1pdm NPS with S. pneumoniae were from subjects with severe disease (22 of 62 S. pneumoniae-positive NPS, p = 0.0004; Table 2 ).”
Quote in the paperSubstantial claim - Also stated in: § MassTag PCR assays · plain
- Findingown data
Results of the logistic regression analysis were not significant for subjects with high age-associated risk (<6 or >55 years of age).
“Results of the logistic regression analysis were not significant for subjects with high age-associated risk (<6 or >55 years of age).”
Quote in the paperSubstantial claim - Findingown data
The presence of S. pneumoniae in NPS was associated with severe H1N1pdm disease.
“The presence of S. pneumoniae was strongly correlated with severe disease.”
- Also stated in: § MassTag PCR assays · plain
“The presence of S. pneumoniae was associated with severe disease.”
Quote in the paperSubstantial claim - Also stated in: § MassTag PCR assays · plain
- Findingown data
In subjects 6 to 55 years of age, the adjusted odds ratio of severe disease in the presence of S. pneumoniae was 125.5 (95% CI 16.95, 928.72; p<0.0001).
“In subjects 6 to 55 years of age, the adjusted odds ratio (OR) of severe disease in the presence of S. pneumoniae was 125.5 (95% confidence interval [CI], 16.95, 928.72; p<0.0001).”
- Also stated in: § MassTag PCR assays · plain
“In the low age risk category (subjects aged 6 to 55 years), the adjusted OR for the contribution of S. pneumoniae-positivity to severe disease outcomes in this logistic regression model was 125 (95% CI, 16.95, 928.72; p<0.0001, Table 4 .”
Quote in the paperSubstantial claim - Also stated in: § MassTag PCR assays · plain
- Findingown data
S. pneumoniae was detected in 56.4% of severe H1N1pdm cases versus 25.0% of mild cases.
“S. pneumoniae was present in 56.4% of severe cases versus 25% of mild cases;”
- Also stated in: § MassTag PCR assays · plain
“S. pneumoniae was detected in 56.4% of severe cases, but only 25.0% of mild cases;”
Quote in the paperSubstantial claim - Also stated in: § MassTag PCR assays · plain
- Findingown data
Of 45 subjects with one or more bacterial respiratory pathogens other than S. pneumoniae or H. influenzae in NPS, 44 had mild disease (97.8%; p = 0.0004).
“Of the 45 subjects with one or more bacterial respiratory pathogens other than S. pneumoniae or H. influenzae in their NPS samples, 44 had mild disease (97.8%; p = 0.0004).”
Quote in the paperSubstantial claim - Findingown data
In the low age risk group, the presence of a risk-associated medical condition was associated with increased risk of severe disease (OR 15.31, 95% CI 1.21-193.49, p = 0.0358).
“The presence of a risk-associated medical condition was associated with increased risk of severe disease (OR [95% CI], 15.31 [1.21, 193.49], p = 0.0358);”
Quote in the paperNot a substantial claim - Findingown data
At least one additional potential respiratory pathogen was detected in 152 of 199 H1N1pdm NPS samples (76.4%).
“At least one additional agent of potential pathogenic importance was identified in 152 samples (76%)”
- Also stated in: § MassTag PCR assays · plain
“MassTag PCR detected H1N1pdm and at least one additional potential respiratory pathogen in 152 of 199 samples (76.4%).”
Quote in the paperNot a substantial claim - Also stated in: § MassTag PCR assays · plain
- Findingown data
RSV A was more common in severe H1N1pdm cases (6 of 39, 15.4%) than in mild cases (5 of 160, 3.1%; p = 0.0085).
“The presence of RSV A, though relatively infrequent, was more common in severe (6 of 39 cases, 15.4%) than in mild disease (5 of 160 cases, 3.1%; p = 0.0085).”
Quote in the paperNot a substantial claim - Findingown data
Severe disease occurred in 14 of 26 (53.8%) high risk age group subjects (<6 or >55 years) compared with 20 of 155 (12.9%) low risk age group subjects (6-55 years; p<0.0001).
“severe disease occurred in 14 of 26 (53.8%) of high risk age group subjects as compared with 20 of 155 (12.9%) of the low risk age group subjects (Fisher's exact test, p<0.0001; Table 1 ).”
Quote in the paperNot a substantial claim - Findingown data
In the low age risk group, the total number of agents detected was inversely related to severe disease outcomes (OR 0.11, 95% CI 0.03-0.38, p = 0.0005).
“the total number of agents detected was inversely related to severe disease outcomes (OR [95% CI], 0.11 [0.03, 0.38; p = 0.0005).”
Quote in the paperNot a substantial claim - Findingown data
Of the 34 patients with severe disease for whom age data were available, 20 (58.8%) were from the low risk age group (6-55 years; p<0.0001).
“However, of the 34 patients with severe disease for whom age data were available, 20 (58.8%) were from the low risk age group (Fisher's exact test, p<0.0001).”
Quote in the paperNot a substantial claim - Findingown data
H. influenzae was detected in 23.1% of severe H1N1 cases versus 59.4% of mild cases (p<0.0001).
“Whereas 95 of the 160 mild H1N1pdm cases (59.4%) were positive for this bacterium, H. influenzae was only detected in 9 of 39 severe H1N1 cases (23.1%, p<0.0001).”
Quote in the paperNot a substantial claim - Findingown data
Severity of disease in the low risk group (6-55 years) can be predicted with 90.97% accuracy via a multivariable logistic regression model that considers the presence of S. pneumoniae together with viruses other than influenza and a risk-associated medical condition.
“Indeed, severity of disease in this low risk group can be predicted with 90.97% accuracy via a multivariable logistic regression model that considers the presence of S. pneumoniae together with viruses other than influenza and a risk-associated medical condition.”
Quote in the paperSubstantial claim - Findingown data
No evidence was found for increased frequency of risk factors for H1N1pdm disease in Argentina.
“Furthermore, no evidence was found for increased frequency of risk factors for H1N1pdm disease.”
- Also stated in: § Introduction · plain
“Risk factors commonly associated with development of severe disease, including advanced age, chronic illnesses (diabetes, asthma, obesity) or immunosuppression (other immune-mediated diseases, immunomodulatory therapies, pregnancy), were not present at increased frequency in Argentina.”
Quote in the paperSubstantial claim - Also stated in: § Introduction · plain
- Interpretationown data
The presence of S. pneumoniae in NPS predicts severe disease outcome in Argentinean H1N1pdm patients.
“In our study of Argentinean victims of H1N1pdm, the presence of S. pneumoniae in NPS predicts severe disease outcome.”
Quote in the paperSubstantial claim - Premisecitation
In animal models, influenza neuraminidase strips sialic acid residues to expose pneumococcal receptors on respiratory epithelium.
“In animal models, influenza neuraminidase has been shown to strip sialic acid residues to expose pneumococcal receptors on respiratory epithelium [11].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] VT Peltola, 2004, Respiratory viruses predisposing to bacterial infections: role of neuraminidase., Pediatr Infect Dis J source
Not checked in the free run.
- Premisecitation
The potency of neuraminidase is correlated with the capacity of an influenza virus strain to promote pneumonia.
“Indeed, the potency of neuraminidase is correlated with the capacity of an influenza virus strain to promote pneumonia [12].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] VT Peltola, 2005, Influenza virus neuraminidase contributes to secondary bacterial pneumonia., J Infect Dis source
Not checked in the free run.
- Interpretationown data
This study is the first to demonstrate the prognostic significance of non-invasive antemortem diagnosis of S. pneumoniae infection.
“However, this study is the first to demonstrate the prognostic significance of non-invasive antemortem diagnosis of S. pneumoniae infection and may provide insights into clinical management.”
Quote in the paperSubstantial claim - Premisecitation
The CFR in Argentina by July 16, 2009 was 4.5% (3056 cases, 137 deaths).
“by July 16, 2009, just two months later, the number of cases in Argentina totaled 3056, with 137 deaths, representing a computed CFR of 4.5% [2].”
- Also stated in: § Background · plain
“In July 2009, however, Argentina reported 3056 cases with 137 deaths, representing a CFR of 4.5%.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [2] L Vaillant, 2009, Epidemiology of fatal cases associated with pandemic H1N1 influenza 2009., Euro Surveill source
Not checked in the free run.
- Also stated in: § Background · plain
- Classified as probably not a substantial claim. 14
- May combine two claims. 7
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThere was a trend toward a higher prevalence of severe disease in males (20 of 80, 25.0%) compared with females (15 of 104, 14.4%; p = 0.09).
“There was a trend toward a higher prevalence of severe disease in males (20 of 80, or 25.0%) as compared with females (15 of 104, or 14.4%; p = 0.09).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataRisk of severe disease was diminished in subjects who received only oseltamivir: 10 of 96 (10.4%) had severe disease, whereas 13 of 14 (92.9%) who received antibiotics without antiviral medication had severe disease (p<0.0001).
“Risk of severe disease was diminished in subjects who received only oseltamivir. Of 96 subjects receiving oseltamavir alone, 10 (10.4%) had severe disease. In contrast, 13 of 14 patients (92.9%) who received antibiotics without antiviral medication had severe disease (p<0.0001).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataH. influenzae was detected in 104 of 199 H1N1pdm cases (52.3%) and was not increased among severe cases.
“H. influenzae infection was frequent in the study population – 104 of all 199 cases (52.3%) harbored the agent – but was not increased among subjects with severe disease.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFive patients had medical conditions associated with increased risk of severe disease following influenza infection; four of these (80%) had severe disease and one had mild disease (p = 0.0056).
“Five patients had medical conditions associated with increased risk of severe disease following influenza infection (asthma, malnutrition, pregnancy, obesity, immunosuppression; n = 1 each). Four of these patients (80%) had severe disease; 1 had mild disease (p = 0.0056).”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataS. pneumoniae was detected in 62 of 199 H1N1pdm NPS samples (35.5%).
“including Streptococcus pneumoniae (n = 62)”
- Also stated in: § MassTag PCR assays · plain
“Co-infecting agents included S. pneumoniae (n = 62);”
Quote in the paperNot a substantial claim- Also stated in: § MassTag PCR assays · plain
May combine two claims.
Findingown dataVirus genomic sequencing of 26 Argentinian samples representing both severe and mild disease indicated no evidence of reassortment, mutations associated with resistance to antiviral drugs, or genetic drift that might contribute to virulence.
“Virus genomic sequencing of 26 Argentinian samples representing both severe and mild disease indicated no evidence of reassortment, mutations associated with resistance to antiviral drugs, or genetic drift that might contribute to virulence.”
- Also stated in: § Introduction · plain
“Complete genome sequencing of 26 samples representing both severe and mild cases of disease from Argentina did not reveal evidence consistent with development of a more virulent phenotype (data not shown).”
Quote in the paperSubstantial claim- Also stated in: § Introduction · plain
Classified as probably not a substantial claim.
Study design and conductown dataRelationships among included variables in the logistic regression model were low (nonsignificant contingency coefficients ranging from 0.001 to 0.255).
“after ensuring that relationships among included variables were low (nonsignificant contingency coefficients ranging from 0.001 to 0.255).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationSecondary bacterial infections have been implicated in morbidity and mortality in H1N1 influenza.
“Secondary bacterial infections have been implicated in morbidity and mortality in H1N1 influenza [3].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] DM Morens, 2008, Predominant role of bacterial pneumonia as a cause of death in pandemic influenza: implications for pandemic influenza preparedness., J Infect Dis source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAnalysis of lung tissue sections from fatal 1918 influenza case materials frequently revealed histopathologic findings consistent with acute bacterial pneumonia.
“Analysis of lung tissue sections from fatal 1918 influenza case materials frequently revealed histopathologic findings consistent with acute bacterial pneumonia [3].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] DM Morens, 2008, Predominant role of bacterial pneumonia as a cause of death in pandemic influenza: implications for pandemic influenza preparedness., J Infect Dis source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductown dataThe multivariable logistic regression model was adjusted for RSV A coinfection, total number of agents detected, and presence of a medical risk factor.
“A model adjusting for the presence in NPS of RSV A, the total number of agents detected in NPS, and the presence of a medical risk factor implicated in severe H1N1 outcomes was derived”
- Also stated in: § Statistics · plain
“The model was adjusted for RSV A coinfection, the total number of bacterial or viral agents detected in NPS, and the presence of a medical risk factor.”
Quote in the paperSubstantial claim- Also stated in: § Statistics · plain
May combine two claims.
PremisecitationRecent postmortem analyses indicated lower respiratory tract infection in 22 out of 77 lethal 2009 H1N1pdm cases in the United States (29%), with S. pneumoniae implicated in 10 of these cases.
“recent postmortem analyses indicated lower respiratory tract infection in 22 out of 77 lethal 2009 H1N1pdm cases in the United States (29%) [9]; S. pneumoniae was implicated in 10 of these cases.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] 2009, Bacterial coinfections in lung tissue specimens from fatal cases of 2009 pandemic influenza A (H1N1) - United States, May-August 2009., MMWR Morb Mortal Wkly Rep
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA case series of the first 18 H1N1pdm-infected patients hospitalized in Mexico City reported no evidence of coinfection with other common respiratory viruses.
“A case series of the first 18 H1N1pdm-infected patients hospitalized in Mexico City reported no evidence of coinfection with other common respiratory viruses [5].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] R Perez-Padilla, 2009, Pneumonia and respiratory failure from swine-origin influenza A (H1N1) in Mexico., N Engl J Med source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductcitationThe presence of H1N1pdm was confirmed for all samples with the WHO-approved Real Time PCR H1N1pdm assay prior to MassTag PCR studies.
“Prior to initiating MassTag PCR studies, the presence of H1N1pdm was confirmed for all samples with the WHO-approved Real Time PCR H1N1pdm assay [7].”
- Also stated in: § Subjects and Specimens · plain
“following testing for H1N1pdm by the WHO-approved Real Time PCR test [7].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] 2009, CDC protocol of real-time RTPCR for influenza A (H1N1).
Not checked in the free run.
- Also stated in: § Subjects and Specimens · plain
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenBoth INEI and CU maintain approved Institutional Review Board (IRB) protocols for receipt and analysis of deidentified samples and their associated deidentified clinical data.
“Both INEI and CU maintain approved Institutional Review Board (IRB) protocols for receipt and analysis of deidentified samples and their associated deidentified clinical data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataSamples for this study were randomly selected from repository specimens collected during standard H1N1pdm surveillance in Argentina.
“39 NPS specimens were selected randomly from a total of 1769 severe cases, and studied along with 160 NPS selected randomly from among 1282 H1N1pdm-infected ambulatory (mild) cases.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAgents recovered by postmortem cultures of lung samples from 96 fatal 1918 influenza pandemic cases included S. pneumoniae (23.2%), S. haemolyticus (18.0%), S. aureus (7.7%) and H. influenzae (4.7%).
“Agents recovered by postmortem cultures of lung samples from 96 fatal 1918 influenza pandemic cases included S. pneumoniae (23.2%), S. haemolyticus (18.0%), S. aureus (7.7%) and H. influenzae (4.7%) [3].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] DM Morens, 2008, Predominant role of bacterial pneumonia as a cause of death in pandemic influenza: implications for pandemic influenza preparedness., J Infect Dis source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn the first wave of pediatric H1N1pdm admissions in Birmingham, UK, only low rates of bacterial infection were found (10 out of 63 children, 15.8%).
“In the first wave of pediatric H1N1pdm admissions in Birmingham, UK, only low rates of bacterial infection were found (10 out of 63 children, 15.8%) [4].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4] S Hackett, 2009, Clinical characteristics of paediatric H1N1 admissions in Birmingham, UK., Lancet source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe CFR of the novel H1N1pdm strain was estimated to be 0.6% based on early data.
“the CFR was estimated to be 0.6% [1].”
- Also stated in: § Background · hedged
“Initial reports in May 2009 of the novel influenza strain H1N1pdm estimated a case fatality rate (CFR) of 0.6%, similar to that of seasonal influenza.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1] C Fraser, 2009, Pandemic potential of a strain of influenza A (H1N1): early findings., Science source
Not checked in the free run.
- Also stated in: § Background · hedged
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationVaccination against S. pneumoniae reduces the frequency of pneumonia associated with influenza A, RSV and parainfluenza viruses.
“Madhi and colleagues demonstrated that vaccination against S. pneumoniae reduces the frequency of pneumonia associated with influenza A, RSV and parainfluenza viruses [10].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10] SA Madhi, 2004, A role for Streptococcus pneumoniae in virus-associated pneumonia., Nat Med source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenInformation about other potential factors associated with risk of severe H1N1 disease, including passive tobacco smoke exposure, older siblings, or personal and/or familial atopic background, was unavailable.
“Information about other potential factors associated with risk of severe H1N1 disease, including presence of passive tobacco smoke exposure, older siblings, or personal and/or familial atopic background, was unavailable.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataS. pneumoniae is important in the pathogenesis and prognosis of H1N1pdm-associated disease.
“First, S. pneumoniae is important in the pathogenesis and prognosis of H1N1pdm-associated disease.”
Quote in the paperSubstantial claim
The paper relies on this without support.
Detection of S. pneumoniae in NPS indicates a clinically relevant infection rather than incidental colonization.
“In our study of Argentinean victims of H1N1pdm, the presence of S. pneumoniae in NPS predicts severe disease outcome.”
“First, S. pneumoniae is important in the pathogenesis and prognosis of H1N1pdm-associated disease.”
The paper relies on this without support.
The association between S. pneumoniae and severe H1N1pdm disease is not confounded by antimicrobial treatment.
“Risk of severe disease was diminished in subjects who received only oseltamivir. Of 96 subjects receiving oseltamavir alone, 10 (10.4%) had severe disease. In contrast, 13 of 14 patients (92.9%) who received antibiotics without antiviral medication had severe disease (p<0.0001).”
The paper relies on this without support.
The 90.97% prediction accuracy of the logistic regression model is not due to overfitting.
“Indeed, severity of disease in this low risk group can be predicted with 90.97% accuracy via a multivariable logistic regression model that considers the presence of S. pneumoniae together with viruses other than influenza and a risk-associated medical condition.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Bacterial co-infection was detected in ~30% of cases in the 2009 H1N1 pandemic, with high mortality rates despite administration of appropriate antibiotics.
“Bacterial co-infection was also detected in ~30% of cases in the 2009 H1N1 pandemic, with high mortality rates despite administration of appropriate antibiotics”
From Respiratory viral infection-induced microbiome alterations and secondary bacterial pneumonia. (2018) · cites this paper as [16]
In the Argentina study, the presence of S pneumoniae was strongly correlated with severe disease and was present in 56·4% of severe cases versus 25% of mild cases (P = 0·0004).
“The presence of S pneumoniae was strongly correlated with severe disease and was present in 56·4% of severe cases versus 25% of mild cases (P = 0·0004).”
From Bacterial and viral infections associated with influenza (2013) · cites this paper as [34]
In subjects 6-55 years of age, the adjusted odds ratio of severe disease in the presence of S pneumoniae was highly significant (P = 0·0001).
“In subjects 6–55 years of age, the adjusted odds ratio (OR) of severe disease in the presence of S pneumoniae was highly significant (P = 0·0001).”
From Bacterial and viral infections associated with influenza (2013) · cites this paper as [34]
The Argentina study demonstrated that the presence of S pneumoniae in nasopharyngeal swab samples could predict severe disease outcome, with risk more acute in persons aged 6-55 years.
“This study demonstrated that the presence of S pneumoniae in nasopharyngeal swab samples could predict severe disease outcome, the risk being more acute in persons aged between 6 and 55 years.”
From Bacterial and viral infections associated with influenza (2013) · cites this paper as [34]
In the low-risk age group, severity of disease could be predicted with 90·97% accuracy via a multivariable logistic regression model.
“In this low‐risk age group, severity of disease could be predicted with 90·97% accuracy via a multivariable logistic regression model.”
From Bacterial and viral infections associated with influenza (2013) · cites this paper as [34]
In Argentina, among 199 cases of confirmed H1N1 pandemic infection, at least one additional agent of potential pathogenic importance was detected in 152 samples, including S pneumoniae (41%), H influenzae (68·4%), S aureus (23%), and MRSA (4%).
“In Argentina, nasopharyngeal swab samples from 199 cases of confirmed H1N1 pandemic infection were tested for 33 additional microbial agents using MassTag PCR methods. At least one additional agent of potential pathogenic importance was detected in 152 samples, including S pneumoniae (41%); H influenzae (68·4%); S aureus (23%); and methicillin‐resistant S aureus (MRSA, 4%).”
From Bacterial and viral infections associated with influenza (2013) · cites this paper as [34]
In Argentina, 20 of 199 persons investigated with pandemic disease were co-infected with another respiratory virus including RSV (A or B), rhinovirus and coronavirus; seven were severe and 13 mild.
“In Argentina, 20 of 199 persons investigated with pandemic disease were co‐infected with another respiratory virus including RSV (A or B), rhinovirus and coronavirus. Seven of these cases were classed as having severe disease (hospitalisation or death with no other risk factors related to underlying disease) and 13, mild disease (ambulatory cases).”
From Bacterial and viral infections associated with influenza (2013) · cites this paper as [34]
S. aureus has been found to complicate influenza infection, increasingly so in more recent years/pandemics.
“Staphylococcus aureus is a Gram-positive cocci that has been found to complicate influenza infection; increasingly so in more recent years/pandemics (Hers et al., 1958; Palacios et al., 2009).”
From Secondary bacterial infections associated with influenza pandemics (2017) · cites this paper as Palacios et al., 2009
Although not the most common bacterium found, S. pneumoniae was the most strongly associated with severe disease in the Argentina study.
“Although not the most common bacteria found, S. pneumoniae was the most strongly associated with severe disease (Palacios et al., 2009).”
From Secondary bacterial infections associated with influenza pandemics (2017) · cites this paper as Palacios et al., 2009
In Argentina, among almost 200 cases of pandemic influenza, H. influenzae was found in 52%, S. pneumoniae in 31%, and S. aureus in 18% of nasopharyngeal swab samples.
“Palacios et al. (2009) examined nasopharyngeal swab samples from almost 200 cases of pandemic influenza. H. influenzae was found in 52%, S. pneumoniae was found in 31% and S. aureus in 18% of samples.”
From Secondary bacterial infections associated with influenza pandemics (2017) · cites this paper as Palacios et al., 2009
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Incorrect overall percentage for S. pneumoniae
MinorTable 2 reports 62 S. pneumoniae-positive subjects among 199 subjects as 35.5%. The overall percentage is 31.2%; 35.5% instead matches the proportion of S. pneumoniae-positive subjects who had severe disease (22 of 62).
Reported 35.5 · recomputed 31.155779
“| S. pneumoniae | 22 (56.4)* | 40 (25.0) | 62 (35.5) |”
Cites
Influenza-Associated Hospitalizations in the United States
Thompson, W. W. (2004) · JAMA · doi:10.1001/jama.292.11.1333 · Cited by 2,213 · see citing works
Pandemic Potential of a Strain of Influenza A (H1N1): Early Findings
Fraser, C., Donnelly, C. A., Cauchemez, S., Hanage, W. P., Kerkhove, M. D. V., Hollingsworth, T. D., Griffin, J. T., Baggaley, R. F., Jenkins, H. E., Lyons, E., et al. (2009) · Science · doi:10.1126/science.1176062 · Cited by 1,909 · see citing works
Morens, D. M., Taubenberger, J. K., & Fauci, A. S. (2008) · The Journal of Infectious Diseases · doi:10.1086/591708 · Cited by 1,625 · cited 3× · see citing works
“Secondary bacterial infections have been implicated in morbidity and mortality in H1N1 influenza [3].”
BackgroundInfluentialPneumonia and Respiratory Failure from Swine-Origin Influenza A (H1N1) in Mexico
Perez-Padilla, R., de la Rosa-Zamboni, D., Ponce de Leon, S., Hernandez, M., Quiñones-Falconi, F., Bautista, E., Ramirez-Venegas, A., Rojas-Serrano, J., Ormsby, C. E., Corrales, A., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0904252 · Cited by 1,325 · see citing works
A role for Streptococcus pneumoniae in virus-associated pneumonia
Madhi, S. A., Klugman, K. P., & The Vaccine Trialist Group (2004) · Nature Medicine · doi:10.1038/nm1077 · Cited by 565 · see citing works
Louie, J. K., Jean, C., Chen, T. H., Park, S., Ueki, R., Harper, T. J., Chmara, E., Myers, J. E., Stoppacher, R., Catanese, C., et al. (2009) · PubMed · Cited by 453 · see citing works
Epidemiology of fatal cases associated with pandemic H1N1 influenza 2009.
Vaillant, L., La Ruche, G., Tarantola, A., Barboza, P., & for the epidemic intelligence team at InVS (2009) · Eurosurveillance · doi:10.2807/ese.14.33.19309-en · Cited by 348 · see citing works
Lamson, D. M., Renwick, N. M., Kapoor, V., Liu, Z., Palacios, G. F., Ju, J., Dean, A. B., George, K. S., Briese, T., & Lipkin, W. I. (2006) · The Journal of Infectious Diseases · doi:10.1086/508551 · Cited by 338 · see citing works
Self-citationRespiratory viruses predisposing to bacterial infections: role of neuraminidase.
PELTOLA, V. T., & MCCULLERS, J. A. (2004) · Pediatric Infectious Disease Journal · doi:10.1097/01.inf.0000108197.81270.35 · Cited by 290 · see citing works
Influenza virus neuraminidase contributes to secondary bacterial pneumonia.
Peltola, V. T., Murti, K. G., & McCullers, J. A. (2005) · The Journal of Infectious Diseases · doi:10.1086/430954 · Cited by 219 · see citing works
Diagnostic System for Rapid and Sensitive Differential Detection of Pathogens
Briese, T., Palacios, G. F., Kokoris, M. S., Jabado, O., Liu, Z., Renwick, N. M., Kapoor, V., Casas, I., Pozo, F., Limberger, R. J., et al. (2005) · Emerging infectious diseases · doi:10.3201/eid1102.040492 · Cited by 162 · see citing works
Self-citationClinical characteristics of paediatric H1N1 admissions in Birmingham, UK
Hackett, S. J., Hill, L. F., Patel, J., Ratnaraja, N., Ifeyinwa, A., Farooqi, M., Nusgen, U., Debenham, P., Gandhi, D. K., Makwana, N., et al. (2009) · The Lancet · doi:10.1016/s0140-6736(09)61511-7 · Cited by 139 · see citing works
Leggiadro, R. J. (2009) · The Pediatric Infectious Disease Journal · doi:10.1097/01.inf.0000366838.82857.78 · Cited by 104 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Ruuskanen, O., Lahti, E., Jennings, L., & Murdoch, D. R. (2011) · The Lancet · doi:10.1016/s0140-6736(10)61459-6 · Cited by 1,194 · see citing works
Clinical Aspects of Pandemic 2009 Influenza A (H1N1) Virus Infection
Writing Committee of the WHO Consultation on Clinical Aspects of Pandemic (H1N1) 2009 Influenza (2010) · New England Journal of Medicine · doi:10.1056/nejmra1000449 · Cited by 1,056 · see citing works
Nair, H., Simões, E. A., Rudan, I., Gessner, B. D., Azziz-Baumgartner, E., Zhang, J. S. F., Feikin, D. R., Mackenzie, G. A., Moiïsi, J. C., Roca, A., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61901-1 · Cited by 779 · see citing works
The co-pathogenesis of influenza viruses with bacteria in the lung.
McCullers, J. A. (2014) · Nature Reviews Microbiology · doi:10.1038/nrmicro3231 · Cited by 722 · see citing works
Kerkhove, M. D. V., Vandemaele, K., Shinde, V., Jaramillo-Gutierrez, G., Koukounari, A., Donnelly, C. A., Carlino, L. O., Owen, R., Paterson, B., Pelletier, L., et al. (2011) · PLoS Medicine · doi:10.1371/journal.pmed.1001053 · Cited by 707 · see citing works
Secondary bacterial infections associated with influenza pandemics
Morris, D. E., Cleary, D. W., & Clarke, S. C. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01041 · Cited by 576 · see citing works
Pathogenesis of influenza-induced acute respiratory distress syndrome
Short, K. R., Kroeze, E. J. B. V., Fouchier, R. A. M., & Kuiken, T. (2013) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(13)70286-x · Cited by 540 · see citing works
Respiratory viral infection-induced microbiome alterations and secondary bacterial pneumonia.
Hanada, S., Pirzadeh, M., Carver, K. Y., & Deng, J. C. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02640 · Cited by 495 · see citing works
Bacterial Coinfection in Influenza: A Grand Rounds Review
Chertow, D. S., & Memoli, M. J. (2013) · JAMA · doi:10.1001/jama.2012.194139 · Cited by 390 · see citing works
Viral Infection in Patients with Severe Pneumonia Requiring Intensive Care Unit Admission
Choi, S., Hong, S., Ko, G.-B., Lee, Y., Park, H. J., Park, S.-Y., Moon, S. M., Cho, O., Park, K., Chong, Y. P., et al. (2012) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201112-2240oc · Cited by 349 · see citing works
2009 pandemic influenza A (H1N1) in pregnancy: a systematic review of the literature
Mosby, L. G., Rasmussen, S. A., & Jamieson, D. J. (2011) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2010.12.033 · Cited by 335 · see citing works
MacIntyre, C. R., Chughtai, A. A., Barnes, M., Ridda, I., Seale, H., Toms, R., & Heywood, A. (2018) · BMC Infectious Diseases · doi:10.1186/s12879-018-3548-0 · Cited by 323 · see citing works
The role of co-infections and secondary infections in patients with COVID-19
Feldman, C. H., & Anderson, R. (2021) · Pneumonia · doi:10.1186/s41479-021-00083-w · Cited by 317 · see citing works
Metersky, M. L., Masterton, R. G., Lode, H., File, T. M., & Babinchak, T. (2012) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2012.01.003 · Cited by 293 · see citing works
Rigaud, T., Perrot‐Minnot, M., & Brown, M. J. F. (2010) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2010.1163 · Cited by 292 · see citing works
Bacterial co‐infections with SARS‐CoV ‐2
Mirzaei, R., Goodarzi, P., Asadi, M., Soltani, A., Aljanabi, H. A. A., Jeda, A. S., Dashtbin, S., Jalalifar, S., Mohammadzadeh, R., Teimoori, A., et al. (2020) · IUBMB Life · doi:10.1002/iub.2356 · Cited by 292 · see citing works
Severe pandemic 2009 H1N1 influenza disease due to pathogenic immune complexes
Monsalvo, A. C., Batalle, J. P., López, M. G., Krause, J. C., Klemenc, J. M., Hernandez, J. Z., Maskin, B. C., Bugna, J., Rubinstein, C. J., Aguilar, L., et al. (2010) · Nature Medicine · doi:10.1038/nm.2262 · Cited by 263 · see citing works
Self-citationBacterial and viral infections associated with influenza
Joseph, C., Togawa, Y., & Shindo, N. (2013) · Influenza and Other Respiratory Viruses · doi:10.1111/irv.12089 · Cited by 250 · see citing works
Two Years after Pandemic Influenza A/2009/H1N1: What Have We Learned?
Cheng, V. C., To, K. K., Tse, H., Hung, I. F., & Yuen, K. (2012) · Clinical Microbiology Reviews · doi:10.1128/cmr.05012-11 · Cited by 224 · see citing works
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. (2011) · Chest · doi:10.1378/chest.10-1396 · Cited by 203 · see citing works
A metagenomic analysis of pandemic influenza A (2009 H1N1) infection in patients from North America
Greninger, A. L., Chen, E. C., Sittler, T., Scheinerman, A., Roubinian, N., Yu, G., Kim, E., Pillai, D. R., Guyard, C., Mazzulli, T., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013381 · Cited by 193 · see citing works
Management of pneumonia in critically ill patients
Cillóniz, C., Torres, A., & Niederman, M. S. (2021) · BMJ · doi:10.1136/bmj-2021-065871 · Cited by 184 · see citing works
Goenka, A., Michael, B. D., Ledger, E., Hart, I. J., Absoud, M., Chow, G., Lilleker, J. B., Lunn, M. P., McKee, D., Peake, D., et al. (2013) · Clinical Infectious Diseases · doi:10.1093/cid/cit922 · Cited by 180 · see citing works
Karami, Z., Knoop, B. T., Dofferhoff, A. S. M., Blaauw, M. J. T., Janssen, N. A. F., van Apeldoorn, M., Kerckhoffs, A. P. M., van de Maat, J., Hoogerwerf, J. J., & ten Oever, J. (2020) · Scandinavian Journal of Infectious Diseases · doi:10.1080/23744235.2020.1839672 · Cited by 163 · see citing works
Human Metapneumovirus Infection in Wild Mountain Gorillas, Rwanda
Palacios, G. F., Lowenstine, L. J., Cranfield, M. R., Gilardi, K. V. K., Spelman, L. H., Lukasik‐Braum, M., Kinani, J. F., Mudakikwa, A. B., Nyirakaragire, E., Bussetti, A. V., et al. (2011) · Emerging infectious diseases · doi:10.3201/eid1704.100883 · Cited by 158 · see citing works
Self-citationLeung, M. H. Y., Wilkins, D. E., & Lee, P. K. H. (2015) · Scientific Reports · doi:10.1038/srep11845 · Cited by 156 · see citing works
Voiriot, G., Visseaux, B., Cohen, J., Nguyen, L. B. L., Neuville, M., Morbieu, C., Burdet, C., Radjou, A., Lescure, F.-X., Smonig, R., et al. (2016) · Critical Care · doi:10.1186/s13054-016-1517-9 · Cited by 150 · see citing works
Identifying the interaction between influenza and pneumococcal pneumonia using incidence data.
Shrestha, S., Foxman, B., Weinberger, D. M., Steiner, C., Viboud, C., & Rohani, P. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3005982 · Cited by 148 · see citing works
Viral bacterial co-infection of the respiratory tract during early childhood
Brealey, J. C., Sly, P. D., Young, P. R., & Chappell, K. J. (2015) · FEMS Microbiology Letters · doi:10.1093/femsle/fnv062 · Cited by 148 · see citing works
Kash, J. C., Walters, K.-A., Davis, A. S., Sandouk, A., Schwartzman, L. M., Jagger, B. W., Chertow, D. S., Qi, L., Kuestner, R. E., Ozinsky, A., et al. (2011) · mBio · doi:10.1128/mbio.00172-11 · Cited by 143 · see citing works
Beumer, M. C., Koch, R. M., Beuningen, D. V., Oudelashof, A. M., van de Veerdonk, F. L., Kolwijck, E., van der Hoeven, J. G., Bergmans, D. C. J. J., & Hoedemaekers, C. (2018) · Journal of Critical Care · doi:10.1016/j.jcrc.2018.11.013 · Cited by 139 · see citing works
Karhu, J. M., Ala-Kokko, T. I., Vuorinen, T., Ohtonen, P. P., & Syrjälä, H. (2014) · Clinical Infectious Diseases · doi:10.1093/cid/ciu237 · Cited by 138 · see citing works
The Unrecognized Threat of Secondary Bacterial Infections with COVID-19
Vaillancourt, M., & Jorth, P. A. (2020) · mBio · doi:10.1128/mbio.01806-20 · Cited by 138 · see citing works
Secondary Bacterial Infections in Influenza Virus Infection Pathogenesis
Smith, A. M., & McCullers, J. A. (2014) · Current topics in microbiology and immunology · doi:10.1007/82_2014_394 · Cited by 135 · see citing works
The immunology of influenza virus-associated bacterial pneumonia.
Robinson, K. M., Kolls, J. K., & Alcorn, J. F. (2015) · Current Opinion in Immunology · doi:10.1016/j.coi.2015.02.002 · Cited by 132 · see citing works
Weinberger, D. M., Simonsen, L., Jordan, R., Steiner, C., Miller, M., & Viboud, C. (2012) · The Journal of Infectious Diseases · doi:10.1093/infdis/jir749 · Cited by 132 · see citing works
Community-acquired polymicrobial pneumonia in the intensive care unit: aetiology and prognosis
Cillóniz, C., Ewig, S., Ferrer, M., Polverino, E., Gabarrús, A., de la Bellacasa, J. P., Mensa, J., & Torres, A. (2011) · Critical Care · doi:10.1186/cc10444 · Cited by 129 · see citing works
Rate and influence of respiratory virus co-infection on pandemic (H1N1) influenza disease
Esper, F. P., Spahlinger, T., & Zhou, L. (2011) · Journal of Infection · doi:10.1016/j.jinf.2011.04.004 · Cited by 128 · see citing works
Castilla, J., Godoy, P., Domínguez, F., Martínez‐Baz, I., Astray, J., Martín, V., Delgado‐Rodríguez, M., Baricot, M., Soldevila, N., Mayoral, J. M., et al. (2013) · Clinical Infectious Diseases · doi:10.1093/cid/cit194 · Cited by 123 · see citing works
Moorthy, A. N., Narasaraju, T., Rai, P., Perumalsamy, R., Tan, K. B., Wang, S., Engelward, B. P., & Chow, V. T. K. (2013) · Frontiers in Immunology · doi:10.3389/fimmu.2013.00056 · Cited by 122 · see citing works
2009 Pandemic Influenza A (H1N1) Deaths among Children—United States, 2009–2010
Cox, C. M., Blanton, L., Dhara, R., Brammer, L., & Finelli, L. (2011) · Clinical Infectious Diseases · doi:10.1093/cid/ciq011 · Cited by 121 · see citing works
The impact of bacterial and viral co‐infection in severe influenza
Blyth, C. C., Webb, S. A. R., Kok, J., Dwyer, D. E., van Hal, S. J., Foo, H., Ginn, A. N., Kesson, A. M., Seppelt, I., Iredell, J. R., et al. (2013) · Influenza and Other Respiratory Viruses · doi:10.1111/j.1750-2659.2012.00360.x · Cited by 117 · see citing works
Dawood, F. S., Chaves, S. S., Pérez, A., Reingold, A. L., Meek, J. I., Farley, M. M., Ryan, P., Lynfield, R., Morin, C. A., Baumbach, J., et al. (2013) · The Journal of Infectious Diseases · doi:10.1093/infdis/jit473 · Cited by 117 · see citing works
Kuroda, M., Katano, H., Nakajima, N., Tobiume, M., Ainai, A., Sekizuka, T., Hasegawa, H., Tashiro, M., Sasaki, Y., Arakawa, Y., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010256 · Cited by 111 · see citing works
Cuquemelle, E., Soulis, F., Villers, D., Roche-Campo, F., Ara Somohano, C., Fartoukh, M., Kouatchet, A., Mourvillier, B., Dellamonica, J., Picard, W., et al. (2011) · Intensive Care Medicine · doi:10.1007/s00134-011-2189-1 · Cited by 109 · see citing works
Viral and Bacterial Co-Infections in the Lungs: Dangerous Liaisons
Oliva, J., & Terrier, O. (2021) · Viruses · doi:10.3390/v13091725 · Cited by 107 · see citing works
Factors associated with severe disease in hospitalized adults with pandemic (H1N1) 2009 in Spain
Viasus, D., Paño‐Pardo, J. R., Pachón, J., Campins, A. A., López‐Medrano, F., Villoslada, A., Fariñas, M. C., Moreno, A., Rodríguez‐Baño, J., Oteo, J. A., et al. (2010) · Clinical Microbiology and Infection · doi:10.1111/j.1469-0691.2010.03362.x · Cited by 106 · see citing works
Gilca, R., Serres, G. D., Boulianne, N., Ouhoummane, N., Papenburg, J., Douville-Fradet, M., Fortin, É., Dionne, M., Boivin, G., & Skowronski, D. M. (2011) · Influenza and Other Respiratory Viruses · doi:10.1111/j.1750-2659.2011.00204.x · Cited by 102 · see citing works
Cui, W., Zhao, H., Lu, X., Wen, Y., Zhou, Y., Deng, B., Wang, Y., Wang, W., Kang, J., & Liu, P. (2010) · BMC Infectious Diseases · doi:10.1186/1471-2334-10-145 · Cited by 98 · see citing works
Sultana, J., Mazzaglia, G., Luxi, N., Cancellieri, A., Capuano, A., Ferrajolo, C., de Waure, C., Ferlazzo, G., & Trifirò, G. (2020) · Expert Review of Vaccines · doi:10.1080/14760584.2020.1825951 · Cited by 98 · see citing works
Etiology and Impact of Coinfections in Children Hospitalized With Community-Acquired Pneumonia
Nolan, V. G., Arnold, S. R., Bramley, A. M., Ampofo, K., Williams, D. J., Grijalva, C. G., Self, W. H., Anderson, E. J., Wunderink, R. G., Edwards, K. M., et al. (2017) · The Journal of Infectious Diseases · doi:10.1093/infdis/jix641 · Cited by 98 · see citing works
Interpreting Assays for the Detection of Streptococcus pneumoniae
Blaschke, A. J. (2011) · Clinical Infectious Diseases · doi:10.1093/cid/cir048 · Cited by 97 · see citing works
Short, K. R., Habets, M. N., Hermans, P. W. M., & Diavatopoulos, D. A. (2012) · Future Microbiology · doi:10.2217/fmb.12.29 · Cited by 95 · see citing works
Bacterial co-infection with H1N1 infection in patients admitted with community acquired pneumonia
Cillóniz, C., Ewig, S., Menéndez, R., Ferrer, M., Polverino, E., Reyes, S., Gabarrús, A., Marcos, M. A., Cordoba, J., Mensa, J., et al. (2012) · Journal of Infection · doi:10.1016/j.jinf.2012.04.009 · Cited by 94 · see citing works
Fischer, N., Indenbirken, D., Meyer, T., Lütgehetmann, M., Lellek, H., Spohn, M., Aepfelbacher, M., Alawi, M., & Grundhoff, A. T. (2015) · Journal of Clinical Microbiology · doi:10.1128/jcm.02495-14 · Cited by 94 · see citing works
The first influenza pandemic of the new millennium
Neumann, G., & Kawaoka, Y. (2011) · Influenza and Other Respiratory Viruses · doi:10.1111/j.1750-2659.2011.00231.x · Cited by 93 · see citing works
Sun, K., Ye, J., Perez, D. R., & Metzger, D. W. (2010) · The Journal of Immunology · doi:10.4049/jimmunol.1002664 · Cited by 91 · see citing works
Viral Pneumonia and Acute Respiratory Distress Syndrome
Shah, R. D., & Wunderink, R. G. (2016) · Clinics in Chest Medicine · doi:10.1016/j.ccm.2016.11.013 · Cited by 89 · see citing works
Qu, J., Cai, Z., Liu, Y., Duan, X., Han, S., Liu, J., Zhu, Y., Jiang, Z., Zhang, Y., Zhuo, C., et al. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.641920 · Cited by 87 · see citing works
Karlström, Å., Heston, S. M., Boyd, K. L., TUOMANEN, E. I., & McCullers, J. A. (2011) · The Journal of Infectious Diseases · doi:10.1093/infdis/jir522 · Cited by 81 · see citing works
A review on the clinical spectrum and natural history of human influenza
Punpanich, W., & Chotpitayasunondh, T. (2012) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2012.05.1025 · Cited by 80 · see citing works
Tarabichi, Y., Li, K., Hu, S., Nguyen, C., Wang, X., Elashoff, D., Saira, K., Frank, B., Bihan, M., Ghedin, E., et al. (2015) · Microbiome · doi:10.1186/s40168-015-0133-2 · Cited by 77 · see citing works
Nasopharyngeal microbial interactions in the era of pneumococcal conjugate vaccination
Dunne, E. M., Smith‐Vaughan, H., Robins-Browne, R. M., Mulholland, K., & Satzke, C. (2013) · Vaccine · doi:10.1016/j.vaccine.2013.03.024 · Cited by 74 · see citing works
Gilchrist, S., Nanni, A., & Levine, O. S. (2012) · American Journal of Public Health · doi:10.2105/ajph.2011.300512 · Cited by 72 · see citing works
Characterization of the upper respiratory tract microbiomes of patients with pandemic H1N1 influenza
Chaban, B., Albert, A., Links, M. G., Gardy, J., Tang, P., & Hill, J. E. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069559 · Cited by 69 · see citing works
Xiao, Y., Kash, J. C., Beres, S. B., Sheng, Z., Musser, J. M., & Taubenberger, J. K. (2012) · The Journal of Pathology · doi:10.1002/path.4145 · Cited by 69 · see citing works
Song, H., Wang, Q., Guo, Y., Liu, S., Song, R., Gao, X., Li, D., Li, B., Zhang, D., & Cheng, J. (2013) · BMC Infectious Diseases · doi:10.1186/1471-2334-13-257 · Cited by 69 · see citing works
Influenza-associated thrombotic microangiopathies
Bitzan, M. M., & Zieg, J. (2017) · Pediatric Nephrology · doi:10.1007/s00467-017-3783-4 · Cited by 69 · see citing works
Comparison of commercial systems for extraction of nucleic acids from DNA/RNA respiratory pathogens
Yang, G., Erdman, D. E., Kodani, M., Kools, J. J., Bowen, M. D., & Fields, B. S. (2010) · Journal of Virological Methods · doi:10.1016/j.jviromet.2010.10.024 · Cited by 68 · see citing works
CXCR1/2 Antagonism Is Protective during Influenza and Post-Influenza Pneumococcal Infection
Tavares, L. P., Garcia, C. C., Machado, M. G., Queiroz‐Junior, C. M., Barthélémy, A., Trottein, F., Siqueira, M. M., Brandolini, L., Allegretti, M., Machado, A. V., et al. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01799 · Cited by 66 · see citing works
Code blue: A cinetobacter baumannii, a nosocomial pathogen with a role in the oral cavity
Richards, A. M., Kwaik, Y. A., & Lamont, R. J. (2014) · Molecular Oral Microbiology · doi:10.1111/omi.12072 · Cited by 63 · see citing works
Humphries, R. M., Kelesidis, T., Bard, J. D., Ward, K. W., Bhattacharya, D., & Lewinski, M. A. (2010) · Journal of Medical Microbiology · doi:10.1099/jmm.0.023010-0 · Cited by 61 · see citing works
Chien, Y., Klugman, K. P., & Morens, D. M. (2010) · The Journal of Infectious Diseases · doi:10.1086/657144 · Cited by 57 · see citing works
Streptococcus pneumoniae Enhances Human Respiratory Syncytial Virus Infection In Vitro and In Vivo
Nguyen, D. T., Louwen, R., Elberse, K. E. M., van Amerongen, G., Yüksel, S., Luijendijk, A., Osterhaus, A. D. M. E., Duprex, W. P., & de Swart, R. L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0127098 · Cited by 56 · see citing works
Pandemic (H1N1) 2009 and Seasonal Influenza A (H1N1) Co-infection, New Zealand, 2009
Peacey, M., Hall, R. J., Sonnberg, S., Ducatez, M., Paine, S., Nicol, M., Ralston, J. C., Bandaranayake, D., Hope, V., Webby, R. J., et al. (2010) · Emerging Infectious Diseases · doi:10.3201/eid1610.100116 · Cited by 53 · see citing works
Current concepts in host–microbe interaction leading to pneumococcal pneumonia
Vernatter, J., & Pirofski, L. (2013) · Current Opinion in Infectious Diseases · doi:10.1097/qco.0b013e3283608419 · Cited by 52 · see citing works
Rodríguez, A. H., Álvarez-Rocha, L., Sirvent, J. M., Zaragoza, R., Nieto, M., Arenzana, Á., Luque, P., Socías, L., Martín, M., Navarro, D., et al. (2012) · Medicina Intensiva · doi:10.1016/j.medin.2011.11.020 · Cited by 52 · see citing works
Agrati, C., Gioia, C., Lalle, E., Cimini, E., Castilletti, C., Armignacco, O., Lauria, F., Ferraro, F., Antonini, M., Ippolito, G., et al. (2010) · The Journal of Infectious Diseases · doi:10.1086/655469 · Cited by 52 · see citing works
Arranz-Herrero, J., Presa, J., Rius‐Rocabert, S., Utrero‐Rico, A., Arranz-Arija, J. Á., Lalueza, A., Escribese, M. M., Ochando, J., Soriano, V., & Nistal‐Villán, E. (2023) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2023.04.003 · Cited by 51 · see citing works
Bacterial coinfection in influenza pneumonia: Rates, pathogens, and outcomes
Bartley, P., Deshpande, A., Yu, P.-C., Klompas, M., Haessler, S., Imrey, P. B., Zilberberg, M. D., & Rothberg, M. B. (2021) · Infection Control and Hospital Epidemiology · doi:10.1017/ice.2021.96 · Cited by 50 · see citing works
Choi, S., Huh, J. W., Hong, S., Lee, J. Y., Kim, S., Sung, H., Do, K., Lee, S., Kim, M., Jeong, J., et al. (2014) · Journal of Clinical Virology · doi:10.1016/j.jcv.2014.11.010 · Cited by 50 · see citing works
Echenique, I. A., Chan, P. A., Chapin, K. C., Andrea, S. B., Fava, J. L., & Mermel, L. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0060845 · Cited by 49 · see citing works
Pneumonia immunization in older adults: review of vaccine effectiveness and strategies
El-Solh, A., Assaad, El-Masri, & Porhomayon, J. (2012) · Clinical Interventions in Aging · doi:10.2147/cia.s29675 · Cited by 48 · see citing works
Gritzfeld, J. F., Roberts, P., Roche, L., Batrawy, S. E., & Gordon, S. B. (2011) · BMC Research Notes · doi:10.1186/1756-0500-4-122 · Cited by 47 · see citing works
Real-time PCR assays for the detection and quantification of Streptococcus pneumoniae
Park, H. K., Lee, H. J., & Kim, W. (2010) · FEMS Microbiology Letters · doi:10.1111/j.1574-6968.2010.02044.x · Cited by 46 · see citing works
Polymicrobial community‐acquired pneumonia: An emerging entity
Cillóniz, C., Čivljak, R., Nicolini, A., & Torres, A. (2015) · Respirology · doi:10.1111/resp.12663 · Cited by 45 · see citing works
Lipkin, W. I., & Anthony, S. J. (2015) · Virology · doi:10.1016/j.virol.2015.02.006 · Cited by 45 · see citing works
Self-citationBlevins, L. K., Wren, J. T., Holbrook, B. C., Hayward, S. L., Swords, W. E., Parks, G. D., & Alexander‐Miller, M. A. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1400529 · Cited by 44 · see citing works
Highly specific and rapid glycan based amperometric detection of influenza viruses
Cui, X., Das, A., Dhawane, A. N., Sweeney, J. A., Zhang, X., Chivukula, V., & Iyer, S. S. (2017) · Chemical Science · doi:10.1039/c6sc03720h · Cited by 44 · see citing works
Do specific virus–bacteria pairings drive clinical outcomes of pneumonia?
McCullers, J. A. (2012) · Clinical Microbiology and Infection · doi:10.1111/1469-0691.12093 · Cited by 44 · see citing works
Shbaklo, N., Corcione, S., Vicentini, C., Giordano, S., Fiorentino, D., Bianco, G., Cattel, F., Cavallo, R., Zotti, C. M., & Rosa, F. G. D. (2022) · Antibiotics · doi:10.3390/antibiotics11050695 · Cited by 43 · see citing works
Identification of Concurrent Bacterial Infection in Adult Patients with Dengue
See, K. C., Phua, J., Yip, H. S., Yeo, L. L. L., & Lim, T. K. (2013) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.13-0197 · Cited by 43 · see citing works
Ishikawa, H., Fukui, T., Ino, S., Sasaki, H., Awano, N., Kohda, C., & Tanaka, K. (2016) · Virology · doi:10.1016/j.virol.2016.08.025 · Cited by 43 · see citing works
Park, S., González-Juarbe, N., Riegler, A. N., Im, H., Hale, Y., Platt, M. P., Croney, C. M., Briles, D. E., & Orihuela, C. J. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109267 · Cited by 43 · see citing works
Ghoneim, H. E., & McCullers, J. A. (2013) · The Journal of Infectious Diseases · doi:10.1093/infdis/jit653 · Cited by 41 · see citing works
Severe Community-Acquired Pneumonia
Cillóniz, C., Dominedò, C., Liapikou, A., & Torres, A. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.11487-4 · Cited by 40 · see citing works
Outcomes of Influenza A(H1N1)pdm09 Virus Infection: Results from Two International Cohort Studies
Lynfield, R., Davey, R. T., Dwyer, D. E., Losso, M. H., Wentworth, D. N., Cozzi‐Lepri, A., Herman-Lamin, K., Cholewińska, G., David, D., Stefan, K., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0101785 · Cited by 39 · see citing works
Zhang, Y., Tang, X., Du, C., Wang, B.-B., Bi, Z., & Dong, B. (2016) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2016.1221552 · Cited by 39 · see citing works
Metagenomics: A New Way to Illustrate the Crosstalk between Infectious Diseases and Host Microbiome
Zhang, Y., Lun, C.-Y., & Tsui, S. K. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms161125957 · Cited by 38 · see citing works
Influenza and Bacterial Pathogen Coinfections in the 20th Century
Wang, X.-Y., Kilgore, P. E., Lim, K. A., Wang, S.-M., Lee, J., Deng, W., Mo, M.-Q., Nyambat, B., Ma, J.-C., Favorov, M. O., et al. (2011) · Interdisciplinary Perspectives on Infectious Diseases · doi:10.1155/2011/146376 · Cited by 37 · see citing works
- Authors
- Palacios, G., Hornig, M., Cisterna, D., Savji, N., Bussetti, A. V., Kapoor, V., Hui, J., Tokarz, R., Briese, T., Baumeister, E., & Lipkin, W. I.
- Affiliations
- Columbia University (US)
- Administración Nacional de Laboratorios e Institutos de Salud (AR)
- Corresponding author
- Palacios, Gustavo
- Lipkin, W. Ian
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2009-12-31
- Volume
- 4
- Issue
- 12
- Pages
- e8540
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC2795195
- OpenAlex
- W2098792130
- Semantic Scholar
- 73eb67835207270107c1e76b4675a92b3b58a575
- Cited by
- 275
- References
- 14
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 5 · 2023: 9 · 2022: 14 · 2021: 16 · 2020: 16 · 2019: 9 · 2018: 12 · 2017: 11 · 2016: 10 · 2015: 19 · 2014: 17 · 2013: 37 · 2012: 32
- FWCI
- 21.13
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
- Americanae (AECID Library) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Greater South Information System
- Columbia Academic Commons (Columbia University)
- Funders
- U.S. Department of Defense
- National Institutes of Health (n01ai30027-9-0-2, AI57158)
- National Institute of Allergy and Infectious Diseases (U54 AI 57158, R01AI051292, R01 AI30027, AI051292, U54AI057158, N01 AI030027)
- Topics
- Health Sciences › Medicine › Epidemiology › Influenza Virus Research Studies
- Health Sciences › Medicine › Epidemiology › Pneumonia and Respiratory Infections
- Health Sciences › Medicine › Epidemiology › Respiratory viral infections research
- Keywords
- Streptococcus pneumoniae, co-infection, H1N1 pandemic influenza, 2009 H1N1 influenza, disease severity, case fatality rate, Haemophilus influenzae, Staphylococcus aureus, methicillin-resistant Staphylococcus aureus, respiratory pathogens, Argentina, viral coinfection, bacterial co-infection
- MeSH terms
- Adolescent, Adult, Argentina, Child, Disease Outbreaks, Female, Humans, Influenza, Human, Male, Middle Aged, Pneumococcal Infections, Risk Factors, Bodily Secretions, Streptococcus pneumoniae, Polymerase Chain Reaction, Influenza A Virus, H1N1 Subtype, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review