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. 2016 Jun 20;175:47–53.e3. doi: 10.1016/j.jpeds.2016.05.025

Nonsteroidal Anti-Inflammatory Drug without Antibiotics for Acute Viral Infection Increases the Empyema Risk in Children: A Matched Case-Control Study

Muriel Le Bourgeois 1,, Agnès Ferroni 2, Marianne Leruez-Ville 2, Emmanuelle Varon 3,4, Caroline Thumerelle 5, François Brémont 6, Michael J Fayon 7, Christophe Delacourt 1,8, Caroline Ligier 9,10,11, Laurence Watier 9,10,11, Didier Guillemot 9,10,11,12; Children, Antibiotics, Nonsteroidal Anti-inflammatory Drugs and Childhood Empyema (ChANCE) Study Group, on behalf of the
PMCID: PMC7094675  PMID: 27339249

Abstract

Objective

To investigate the risk factors of empyema after acute viral infection and to clarify the hypothesized association(s) between empyema and some viruses and/or the use of nonsteroidal anti-inflammatory drugs (NSAIDs).

Study design

A case-control study was conducted in 15 centers. Cases and controls were enrolled for a source population of children 3-15 years of age with acute viral infections between 2006 and 2009.

Results

Among 215 empyemas, 83 cases (children with empyema and acute viral infection within the 15 preceding days) were included, and 83 controls (children with acute viral infection) were matched to cases. Considering the intake of any drug within 72 hours after acute viral infection onset and at least 6 consecutive days of antibiotic use and at least 1 day of NSAIDs exposure, the multivariable analysis retained an increased risk of empyema associated with NSAIDs exposure (aOR 2.79, 95% CI 1.4-5.58, P = .004), and a decreased risk associated with antibiotic use (aOR 0.32, 95% CI 0.11-0.97, P = .04). The risk of empyema associated with NSAIDs exposure was greater for children not prescribed an antibiotic and antibiotic intake diminished that risk for children given NSAIDs.

Conclusions

NSAIDs use during acute viral infection is associated with an increased risk of empyema in children, and antibiotics are associated with a decreased risk. The presence of antibiotic-NSAIDs interaction with this risk is suggested. These findings suggest that NSAIDs should not be recommended as a first-line antipyretic treatment during acute viral infections in children.

Keywords: children, empyema, NSAIDs

Abbreviations: LRTVI, Lower respiratory tract viral infection; NRCP, National Reference Center for Pneumococci; NSAID, Nonsteroidal anti-inflammatory drug; PCR, Polymerase chain reaction; PCV-7, 7-valent pneumococcal conjugate vaccine


Although relatively infrequent, empyema is a serious bacterial infection of the pleural space that remains a cause of substantial morbidity, with an in-hospital case-fatality ratio of 0.4% for children.1 Late diagnosis and onset of appropriate therapy contribute to increased morbidity. In addition, the in-hospital management of patients with empyema is associated with substantial economic costs.2

In the 2000s, the incidence rate of empyema in children increased worldwide as in France without clear explanations.1, 3, 4, 5, 6 This trend was not modified by 7-valent pneumococcal conjugate vaccine (PCV-7) programs,1, 3, 4, 5, 6, 7 but hospitalizations for uncomplicated pneumonia clearly declined thereafter.8 Previous retrospective studies suggested that the use of nonsteroidal anti-inflammatory drugs (NSAIDs) during community-acquired pneumonia may be associated with an increased risk of empyema,3, 9, 10, 11, 12, 13 but a protopathic bias could not be excluded. This case-control study was undertaken to investigate children's risk factors for empyema after acute viral infection and determine whether some viruses,14, 15 use of NSAIDs, or both were associated.

Methods

The study was approved by the Institutional Review Board of University Hospital Necker-Enfants Malades (CCP06-03-09). All participating parents and case and control children older than 7 years of age were given oral and written information and provided written consent.

This matched case-control study included cases and controls from a source population of children with acute viral infections and was conducted in 15 French pediatric respiratory clinical departments from September 2006 to June 2009.

Acute viral infection was diagnosed by clinical symptoms by the provider. The following acute viral infections were as follows: herpes virus infection; varicella; gastroenteritis, defined as acute diarrhea, with at least 3 loose stools per day; nasopharyngitis, defined as runny nose, nasal congestion, and cough; bronchiolitis, defined as cough, shortness of breath, and wheeze at auscultation; flu-like syndrome, defined as cough with fever and myalgia; bronchitis, defined as cough and bronchial congestion; and viral pharyngitis documented by a negative test for rapid diagnosis of group A streptococcal infection. Acute viral infections were divided into 3 groups: upper respiratory tract viral infections, lower respiratory tract viral infections (LRTVIs) (bronchiolitis, bronchitis, and flu), and others. All acute viral infections were not severe and did not require hospitalization.

Consecutive patients 3 months to 15 years of age who were hospitalized for empyema in 1 of the 15 participating centers were eligible. Empyema was defined as the presence of a pleural effusion on chest radiograph and at least 1 of the following results of tests on pleural fluid: pH < 7.2, lactate dehydrogenase >1000 IU/L, glucose <2.2 mmol/L, protein >3000 mg/dL, white blood cell count >50 000 cells/μL,16 and/or a positive bacterial culture or Gram stain. To be a case, the empyema had to follow doctor-diagnosed acute viral infection based on clinical symptoms and identified within a maximum of 15 days preceding the date of the first pleural puncture.

Controls were children 3 months to 15 years of age with acute viral infections from the same “source population” as case children, which was defined as children evaluated by the same private practitioner for acute viral infections. Controls were recruited as follows: upon case identification, the doctor who referred the child to the hospital was contacted to identify, among his/her patients, children matched for age (+/−1 year) who consulted for same viral symptoms during the 15 preceding days with the similar time window as the matched case (Figure 1; available at www.jpeds.com).

Figure 1.

Figure 1

Study design for identifying cases and controls. Cases were identified the day of empyema diagnosis. The cases private practitioner was contacted to identify another child among his/her patients with acute viral infection to serve as a control. Dashed lines indicate the periods for which relevant information was collected. AVI, acute viral infection.

Exclusion criteria for cases and controls were chronic respiratory disease, acquired and/or congenital immunological disorders, malignancy, collagen vascular disease, sickle cell disease, congenital heart defects, neuromuscular disease, hemophilia, and/or heart failure; treatment with corticosteroids or immunosuppressive agents during the month preceding identification; and known intolerance of NSAIDs or acetaminophen.

Exclusion criteria for cases were absence of at least 24 hours of apyrexia between recovering from LRTVI symptoms and a diagnosis of empyema and time between onset of acute viral infection and a diagnosis of empyema <72 hours (to decrease the possibility that symptom onset was possible onset of the bacterial infection).

For each hospital case, after questioning the parents, a trained doctor or nurse completed a detailed and standardized form, recording symptoms, treatment concerning the period between onset of acute viral infection (first day of clinical symptom), and empyema diagnosis by pleural puncture, corresponding to the time of exposure. For the controls, the parents were contacted after the consultation with the treating physician and data recorded retrospectively exactly as done for the cases, with the same detailed and standardized form, recording clinical items concerning the same exposure window-timing from the acute viral infection onset as the matched case. Primary providers went at controls' home to obtain nasal swab specimen and record data (Figure 1). Symptoms, treatments (antibiotics, glucocorticoids, NSAIDs, acetaminophen) according to the doctors' prescriptions, and self-administered medications were recorded daily. The following information also was recorded for all enrolled children: demographics, immunization status, and type of acute viral infection as stated by the doctors. In addition, a nasal swab was obtained for respiratory virus screening.

For the cases, initial clinical findings, results of biochemistry and microbiology tests, radiograph findings, management, and length of stay were recorded. Two doctors reviewed the medical records of all identified patients and independently validated each case.

Microbiology

After identification in the laboratory of the hospital at which the case was admitted, bacterial strains from pleural fluids were sent for identity confirmation to the University Hospital Necker-Enfants Malades microbiology laboratory as, when feasible, a sample of pleural fluid was sent for pneumococcal antigen testing and polymerase chain reaction (PCR) testing for atypical bacteria (Mycoplasma pneumoniae and Chlamydophila pneumoniae). When cultures were negative, pneumococcal and universal bacterial PCRs were performed. DNA was extracted from 100 μL of pleural fluid samples previously stored at −80°C with the automated MagNA Pure LC System (Roche Diagnostics, Meylan, France) and eluted in 100 μL of elution buffer using the DNA III Magna Pure DNA Isolation Kit (Roche Diagnostics). In-house C pneumoniae (OMP1 gene) and M pneumoniae (P1 cytadhesin gene) PCRs were performed as described previously.17, 18 S pneumoniae pneumolysin gene real-time PCR was performed according to Corless et al.19 For negative pneumococcal PCR samples, real-time amplification of universal bacterial 16S rDNA was performed and the amplified product was sequenced, as previously reported.20 Pneumococcal antigen was detected with the immunochromatographic test BinaxNOW for Streptococcus pneumoniae (Binax Inc, Portland, Maine), according to Le Monnier et al.21 Pneumococcal strains were serotyped at the French National Reference Center for Pneumococci (NRCP) via the use of latex particles coated with a complete panel of antisera and factor serum (provided by the Statens Serum Institute, Copenhagen, Denmark), which is able to identify the 91 known serotypes. Pneumococcal strains of known serotypes from the Statens Serum Institute and from French NRCP were used as internal controls. When available, DNA from individual pleural fluid samples with positive pneumolysin PCRs also were sent to the NRCP for serotyping with conventional multiplex PCR. PCR and PCR-products detection on 2% agarose gels were performed as described by the Centers for Disease Control and Prevention (http://www.cdc.gov/ncidod/biotech/strep/pcr.htm).

Nasal swabs were deposited in 1.5 mL of transport medium containing 29.5 g of tryptose phosphate broth (Becton Dickinson, Le Pont de Claix, France), 5.0 g of gelatin (Becton Dickinson), 50 000 units of penicillin, 50 mg of streptomycin, and 12.5 μg amphotericin B (Antibiotic antimycotic solution; Sigma, Saint-Quentin–Fallavier, France). Viral RNA or DNA was isolated with the automated MagNA Pure LC System (Roche Diagnostics) from 200 μL of nasal samples and eluted in 100 μL of elution buffer via the Total Nucleic Acid Isolation Kit (Roche Diagnostics).

In-house, real-time PCRs were used to detect adenoviruses, as previously described,22 and in-house, 1-step, real-time reverse transcripted PCRs were used to detect metapneumovirus, influenza virus A and B, parainfluenza viruses (1, 2, and 3), respiratory syncytial viruses A and B, and rhinovirus, as reported elsewhere.23 The multiplex PCR RespiFinder-19 (PathoFinder; Eurogentec, Angers, France) was used, according to the manufacturer's recommendations, to detect 15 respiratory viruses (adenovirus, coronavirus [229E, NL63, and OC43], metapneumovirus, influenza viruses [A and B], influenza virus A H5N1, parainfluenza viruses [1, 2, 3, and 4], respiratory syncytial viruses [A and B], and rhinovirus) and 4 intracellular bacteria (Bordetella pertussis, C pneumoniae, Legionella pneumophila, and M pneumoniae).

Statistical Analyses

The analysis phase considered drug exposure from the onset of acute viral infection symptoms. Drug use was considered when exposure began within the 72 hours after the onset of acute viral infection and before apyrexia for LRTVIs. For each control, the period of time at risk for drug exposure was defined as the time between onset of acute viral infection and empyema diagnosis for the paired case. Drug exposure-durations considered were of at least 3 or 6 consecutive days for antibiotics and 1, 2, or 3 consecutive days for NSAIDs and acetaminophen. Conditional logistic regression was used to compare cases and matched controls for general characteristics. All variables achieving P ≤ .20 were included in the multivariable analysis. Estimated matched ORs for proposed exposure definitions used the same P-value threshold. The final model was determined via a manual backward-selection procedure. When appropriate, interactions between variables were tested. More specifically, we used subgroup modeling to thoroughly investigate interactions between final significant variables. When the conditional logistic model did not converge, unpaired classical logistic regression was used. In that case, compared with conditional logistic model, greater significance might be observed. A 2-tailed P < .05 in the multivariable model defined significance. All computations were made with Stata v10.0 software (StataCorp, College Station, Texas).

Results

Of 215 potential cases and 94 potential controls, 83 matched pairs of eligible cases and controls were identified (Figure 2; available at www.jpeds.com). In each group, 53.0% were boys. Mean duration of exposure defined as delay between onset of acute viral infection and diagnosis of empyema in cases was 10 days. No significant differences were observed between cases and controls for age, siblings, parents' occupations, the acute viral infection site, PVC-7 vaccination, and fever at the acute viral infection onset (Table I ). Acute viral infections were mostly upper respiratory tract viral infections. More than one-half of the subjects in each group had received at least 1 PCV-7 dose. For children with respiratory viral identification, no differences were found between the types of viruses identified for cases and controls (Table II; available at www.jpeds.com). Among the 79 cases with identified bacteria, S pneumoniae accounted for 86% (Figure 3; available at www.jpeds.com). Among S pneumoniae with an identified serotype (n = 32), serotypes 1, 19A, and 3 were the most frequent, with the vast majority (31/32) belonging to non-PCV-7 vaccine serotypes (Figure 4; available at www.jpeds.com).

Figure 2.

Figure 2

Flow chart of selection of cases and controls. AVI, acute viral infection.

Table I.

General characteristics of the 83 cases and 83 matched controls: Univariable analyses

Characteristics Cases (n = 83) Controls (n = 83) P value
Male sex, n (%) 44 (53.0) 44 (53.0) 1
Age, y
 Mean ± SD 4.1 ± 2.3 3.8 ± 2.3 .41
 Range 0.6-13.1 0.6-12.4
Number of siblings, n (%)
 1 40 (48.2) 44 (53.0) .39
 2 29 (34.9) 22 (26.5)
 ≥3 12 (14.5) 15 (18.1)
 NR 2 (2.4) 2 (2.4)
Father's profession, n (%)
 Senior executive or self-employed 26 (31.3) 22 (26.5) .54
 Employee 23 (27.7) 33 (39.8)
 Farmer/craftsman, storekeeper, head of company 14 (16.9) 15 (18.1)
 Others 17 (20.5) 12 (14.5)
 NR 3 (3.6) 2 (2.4)
Mother's profession, n (%)
 Senior executive or self employed 25 (30.1) 23 (27.7) .55
 Employee 35 (42.2) 31 (37.3)
 Farmer/craftswoman, storekeeper, head of company 3 (3.6) 4 (4.8)
 Others 17 (20.5) 23 (27.7)
 NR 3 (3.6) 2 (2.4)
Site of viral infection,n (%)
 Upper respiratory tract 52 (62.7) 48 (57.8) .21
 Lower respiratory tract 19 (22.9) 28 (33.7)
 Others 12 (14.5) 7 (8.4)
Fever on day 1 of viral infection, n (%)
 No 40 (48.2) 27 (32.5) .19
 Yes 37 (44.6) 42 (50.6)
 NR 6 (7.2) 14 (16.9)
 Vaccinated with PCV-7,§n (%) 45 (54.2) 48 (57.8) .62
Drug used on day 1 of viral infection
 Antibiotic intake, n (%) 7 (8.4) 12 (14.5) .21
 Beta-lactam agent 5 9
 Macrolide 1 1
 Others 1 3
 NSAID intake, n (%) 32 (38.6) 22 (26.5) .08
 Ibuprofen 32 21
 Ketoprofen 0 1
 Other antipyretic intake, n (%) 39 (46.9) 41 (49.4) .79
 Acetaminophen 39 41

NR, not reported.

P value of McNemar or Mantel-Haenszel χ2 tests.

Unemployed, housewife/husband, student, or other.

Upper respiratory tract: rhinopharyngitis and pharyngitis; lower respiratory tract: bronchitis, bronchiolitis, and flu-like syndrome; others: gastroenteritis and varicella.

§

At least 1 dose of PCV-7.

Figure 3.

Figure 3

Identification of bacteria isolated from empyemas.

Figure 4.

Figure 4

Serotypes of identified pneumococci.

Considering the drug exposure-duration (6 days for antibiotics and 1or 3 consecutive days for NSAIDs) and the interval between onset of acute viral infection and starting treatment of 72 hours for any drug, NSAIDs were systematically used more often and antibiotics systematically less often for cases than controls. Acetaminophen also was prescribed more frequently for cases than controls, particularly when taken for at least 3 consecutive days (Table III ).

Table III.

Conditional logistic-regression analyses: Drug exposure when exposure began within the 72 hours after acute viral infection according its duration

Drug exposure n ORC 95% CI P value
Antibiotic intake
 ≥3 consecutive days 10/17 0.46 0.18-1.21 .12
 ≥6 consecutive days 6/16 0.33 0.12-0.92 .03
NSAID intake
 ≥1 day 49/28 2.75 1.42-5.32 .003
 ≥2 consecutive days 45/25 2.82 1.42-5.61 .003
 ≥3 consecutive days 42/22 2.67 1.37-5.18 .004
Acetaminophen intake
 ≥1 day 58/49 1.53 0.83-2.82 .17
 ≥2 consecutive days 56/44 1.75 0.95-3.23 .07
 ≥3 consecutive days 52/30 2.57 1.39-4.77 .003

ORC, crude OR.

Number of exposed cases/controls.

Considering drug-use onset within 72 hours after the onset of acute viral infection and at least 6 consecutive days of antibiotic use and at least 1 day of NSAIDs or antipyretic exposure, the multivariable analysis retained increased risk of empyema associated with NSAID exposure (aOR 2.79, P = .004), decreased risk of empyema associated with antibiotic (aOR 0.32, P = .04) (Table IV ), and no association with acetaminophen. No interaction between antibiotic use and NSAIDs exposure was statistically significant in the link with empyema (P = .23). Subgroup analyses carried out to examine potential interaction(s) between antibiotic and NSAID use and empyema showed that the risk of empyema associated with NSAID was greater when antibiotics were used for less than 6 consecutive days (unconditional aOR 3.01, P = .002), and empyema risk associated with antibiotics was lower for the subgroup of children exposed to NSAIDs (unconditional aOR 0.24, P = .06) compared with children unexposed to NSAIDS (Table V; available at www.jpeds.com).

Table IV.

Conditional and unconditional logistic-regression multivariable analyses: Final models acute viral infection-onset-to-drug-intake interval (0-72 h, N = 166)

Drug exposure Conditional
Unconditional
OR [95% CI] P-Value OR [95% CI] P value
Antibiotic
 <6 d Reference Reference
 ≥6 d 0.32 [0.11-0.97] .04 0.33 [0.12-0.91] .03
NSAID
 0 Reference Reference
 ≥1 d 2.79 [1.40-5.58] .004 2.82 [1.49-5.34] .002

Discussion

This case-control study provided strong support for an increased risk of empyema for children with acute viral infections exposed to NSAIDs. NSAIDs previously have been a suspected risk factor for severe bacterial infections. The biological mechanisms of how NSAID can influence the pathogenesis of bacterial infections remain controversial. Based on the ability of NSAIDS to modify the host's inflammatory pathway and innate immune response, a direct role for NSAIDs in development of severe group A streptococcal infection was proposed by Stevens in 1995.24 This hypothesis was based on the ability of NSAIDS to induce increased production of cytokines such as tumor necrosis factor, interleukin 1, and interleukin 6.

It has been observed that NSAIDs may have an inhibitory action of leukocyte adhesion, phagocytosis, and bactericidal activity in vitro.25, 26, 27, 28, 29 Finally, it was observed that low concentrations of ibuprofen, such as those obtained during antipyretic use, may have a proinflammatory action that promotes the recruitment and influx of neutrophils.30 The use of NSAIDs also reflects delayed effective treatment, because NSAIDs might mask the onset of bacterial disease by decreasing the inflammatory response to infection. Associations between bacterial infections and NSAIDs were reported for necrotizing fasciitis during primary varicella31, 32 or for invasive group A streptococcal infection.33 The occurrence of new symptoms or complications were slightly more frequent in children receiving ibuprofen than in those advised to take acetaminophen during respiratory tract infections.34 Empyema was thought to be associated with outpatient use of NSAIDs in children and adults3, 9, 10, 11, 12, 13; however, NSAIDs could not be causally implicated. These analysis were hampered by protopathic bias,35 ie, the possibility of more frequent use of NSAIDs because patients who developed empyema had more febrile (severe) early infection than those with uncomplicated acute bacterial pneumonia. It was impossible to clearly state whether NSAIDs had been started before or after empyema onset.

The strength of our case-control study is that it was specifically designed to minimize this bias as much as possible. First, paired case and control were from the same source population. Children with initial acute viral infection that could lead to antipyretic exposure were diagnosed by the same physician. Because controls were recruited by the same doctor, physician-related and geographic variations of exposure were controlled. Second, for LRTVIs, to avoid protopathic bias as much as possible, children without at least 24 hours of apyrexia between recovery from LRTVI symptoms and a diagnosis of empyema were excluded. Third, when the time between onset of acute viral infection and diagnosis of empyema was less than 72 hours, children were excluded to avoid drug exposure for pyrexia and/or pain linked with empyema onset. Fourth, the analysis phase considered drug exposure only when first drug intake occurred within 72 hours after the onset of acute viral infection symptoms. The increased risk of empyema associated with NSAID intake during acute viral infection is our primary observation; the fact that the association is significant as of the first day of NSAID use strengthens our results.

Some study limitations are noteworthy. The relatively small numbers of cases and controls limit the statistical power to identify associations. It was relatively difficult to find matched controls despite the efforts of primary providers. In addition, the daily dosage of medicine taken was not precise enough to permit analysis for a dose effect.

The diminished risk of empyema associated with antibiotic treatment of acute viral infection is our second important observation. The reduced risk of pneumonia after antibiotic treatment for LRTVIs has been reported previously.36 Antibiotics slightly diminished the risk of suppurative complications of acute sore throat in adults37 and of mastoiditis after otitis in children.38 In our study, antibiotic exposure reached significance only when therapy was given for at least 6 days. The physician's indication to prescribe antibiotics was not known. Acetaminophen had no impact on empyema.

The lack of finding a significant interaction between antibiotics plus NSAIDs and empyema likely was related to lack of power because of small numbers of subjects. Still, the risk of empyema associated with NSAID exposure was greater for children not prescribed an antibiotic, and antibiotic intake reduced the risk for children given NSAIDs. NSAIDs recommended as antipyretics are used widely during acute viral infections in children and also have been sold over-the-counter for many years. NSAIDS constitute one of the most widely used classes of drugs, with probably several million prescriptions and several billion over-the-counter tablets sold for children as antipyretics in developed countries. Regardless of the efficacies of these drugs to control fever, our results suggest that their use is associated with complicated bacterial infection associated with acute viral infection and should be reconsidered.

Acute viral infection itself likely enhances the risk of bacterial infection and may vary by virus and syndrome.12, 39 To reduce this bias, cases and controls were matched for initial viral syndrome. Moreover, virus detection rates and viruses identified were very similar for cases and controls, suggesting that viral species causing the acute viral infection did not influence the complication of empyema.

Increased incidence of empyema has been reported in many countries, and some authors have suggested this phenomenon is caused by the dissemination of a particular pathogenic S pneumoniae. In our study, pathogens associated with empyema were S pneumoniae, Streptococcus pyogenes, and Staphylococcus aureus. Our findings strongly argue against an oligoclonal or monoclonal phenomenon. The S pneumoniae serotype diversity (mostly non-PCV-7 serotypes) in our patients was similar to that observed for empyema1, 3, 4, 5, 6, 7 and for other invasive S pneumoniae infections in France,40 and no dominant serotype was observed.

Our results strongly support the idea that NSAIDs increase risk of empyema in children with previous acute viral infection and suggest that NSAIDs interact with antibiotics. These findings suggest that NSAIDs should not be recommended as a first-line antipyretic treatment during acute viral infections in children.

Acknowledgments

We thank the study's Scientific Advisory Board that provided useful advice: Lucien Abenhaim (previously employed by Paris Descartes University; now employed by Laser Analytica involved in pharmacoepidemiologic studies with strong interaction and contract with international pharmaceutical companies), Xavier Nassif, Pierre Scheinmann, Jean-Christophe Thalabard, and Jean-Claude Desenclos. We acknowledge the physicians, the nurses, the patients, and their families who participated to the study.

Footnotes

Supported by the French National Clinical Research Program (AOM05103), DRRC Île-de-France, Assistance Publique–Hôpitaux de Paris and the French Agency of Health Products (2010-31), and the Agence Nationale de la Recherche, Labex Integrative Biology of Emerging Infectious Diseases (ANR-10-LABX-62-IBEID). The authors declare no conflicts of interest.

Contributor Information

Muriel Le Bourgeois, Email: muriel.lebourgeois@nck.aphp.fr.

Children, Antibiotics, Nonsteroidal Anti-inflammatory Drugs and Childhood Empyema (ChANCE) Study Group:

Jacques de Blic, Antoine Deschildre, Gaëlle Lemanac'h, Stéphanie Bui, Christophe Marguet, Marc Lubrano, André Labbé, Isabelle Petit, Albert Faye, Mathie Lorrot, Fouad Mahdi, Jean-Christophe Dubus, Emmanuelle Bosdure, Isabelle Pin, Cathy Llerena, Jocelyne Derelle, Cyril Schweitzer, Ralph Epaud, Nadia Nathan, Philippe Reix, Stéphanie Wanin, Valérie David, Ulrika de Pontbriand, Jacques Brouard, Aude Bessière, Caroline Douay, Claire Dupont, Claire Petit, Jean-Romain Richard, Christine Toneatti, and Marie-Anne Vibet

Appendix.

Members of the Children, Antibiotics, Nonsteroidal Anti-inflammatory Drugs and Childhood Empyema Study Group include (France):

Jacques de Blic, MD, PhD, APHP, Hôpital Universitaire Necker–Enfants Malades, Université Paris Descartes, Paris; Antoine Deschildre, MD, Hôpital Universitaire Jeanne de Flandre, Lille; Gaëlle Lemanac'h, MD, Hôpital Universitaire, Toulouse; Stéphanie Bui, MD, Hôpital Universitaire Pellegrin, Bordeaux; Christophe Marguet, MD, PhD, Hôpital Universitaire Charles-Nicolle, Rouen; Marc Lubrano, MD, Hôpital Universitaire Charles-Nicolle, Rouen; André Labbé, MD, PhD, Hôpital Universitaire Hôtel-Dieu, Clermont-Ferrand; Isabelle Petit, MD, Hôpital Universitaire Hôtel-Dieu, Clermont-Ferrand; Albert Faye, MD, PhD, APHP, Hôpital Universitaire Robert-Debré, Paris; Mathie Lorrot, MD, APHP, Hôpital Universitaire Robert-Debré, Paris; Fouad Mahdi, MD, CHIC, Creteil; Jean-Christophe Dubus, MD, PhD, Hôpital Universitaire La Timone, Marseille; Emmanuelle Bosdure, MD, Hôpital Universitaire La Timone, Marseille; Isabelle Pin, MD, Hôpital Universitaire Couple Enfants, Grenoble; Cathy Llerena, MD, Hôpital Universitaire Couple Enfants, Grenoble; Jocelyne Derelle, MD, Hôpital Universitaire de Brabois, Nancy; Cyril Schweitzer, MD, PhD, Hôpital Universitaire de Brabois, Nancy; Ralph Epaud, MD, PhD, APHP, Hôpital Universitaire Armand-Trousseau, Paris; Nadia Nathan, MD, APHP, Hôpital Universitaire Armand-Trousseau, Paris; Philippe Reix, MD, PhD, Hôpital Universitaire Femme-Mère-Enfant, Lyon; Stéphanie Wanin, MD, Hôpital Universitaire Femme-Mère-Enfant, Lyon; Valérie David, MD, Hôpital Universitaire, Nantes; Ulrika de Pontbriand, MD, Hôpital Universitaire, Nantes; Jacques Brouard, MD, PhD, Hôpital Universitaire, Caen; Aude Bessière, MD, Hôpital Universitaire, Caen; Caroline Douay, MPh, Institut Pasteur, Paris; Claire Dupont, MPh, Institut Pasteur, Paris; Claire Petit, MPh, Institut Pasteur, Paris; Jean-Romain Richard, MPh, Institut Pasteur, Paris; Christine Toneatti, MPh, Institut Pasteur, Paris; Marie-Anne Vibet, MPh, Institut Pasteur, Paris.

Table II.

Respiratory viruses and intracellular bacteria identified in nasopharyngeal swabs from cases and controls

Cases (n = 74)
Controls (n = 74)
n % n %
Total 35 47.3 33 44.6
Rhinovirus 15 20.3 15 20.3
Metapneumovirus 7 9.5 4 5.4
Adenovirus 5 6.8 6 8.1
Influenza A virus 5 6.8 5 6.8
Coronavirus NL63 3 4.1 4 5.4
Respiratory syncytial virus (A and B) 2 2.7 2 2.7
Coronavirus 229E 2 2.7 3 4.1
Parainfluenza virus (1–4) 2 2.7 0
Influenza B virus 0 0
Coronavirus OC43 0 0
Intracellular bacteria 0 0

Nasal screening for virus was missing for 9 cases and 9 controls.

Bordetella pertussis, Mycoplasma pneumoniae, Chlamydophila pneumoniae, Legionella pneumophila.

Table V.

Conditional and unconditional logistic-regression multivariable estimations of the aOR and 95% CI according to subgroup (N = 166)

Drug n NSAID
0 ≥1 d
Antibiotic <6 d 144
 Conditional Reference 3.14 [1.34-7.36]
 P value .008
 Unconditional Reference 3.01 [1.52-5.95]
 P value .002
Antibiotic ≥6 d 22
 Conditional - -
 P value
 Unconditional Reference 1.63 [0.26-10.32]
 P value


.60
Drug n Antibiotics


<6 d
≥6 d
No NSAID 89
 Conditional Reference 0.50 [0.05-5.51]
 P value .57
 Unconditional Reference 0.44 [0.11-1.72]
 P value .24
NSAID 77
 Conditional -
 P value
 Unconditional Reference 0.24 [0.06-1.01]
 P value .06

Models do not include acetaminophen.

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