Browse the corpus

Cystic fibrosis (CF) is an autosomal recessive disease characterized by defective ion channels, resulting in multiorgan dysfunction, most notably affecting the respiratory tract. The alteration in pulmonary environment is associated with increased susceptibility to bacterial infections (1,2). These bacterial infections and the ensuing inflammation damage the airway epithelium and cause recurrent episodes of acute exacerbations, leading ultimately to respiratory failure. Respiratory infections account for 80%–90% of deaths of patients with CF (2). Recent advances in bacterial taxonomy and improved microbial identification methods have led to increasing recognition of the complexity of microbial ecology of the CF lung (3–5). Thus, infections of the lung in patients with CF are now considered as polymicrobial infections. In addition to well recognized CF pathogens (e.g., Staphylococcus aureus, Pseudomonas aeruginosa, Haemophilus influenzae, and Burkholderia cepacia complex) numerous other opportunistic bacteria have been recently reported, such as Stenotrophomonas maltophila, Achromobacter xylosoxydans, and Inquilinus limosus and methicillin-resistant S. aureus and mucoid P. aeruginosa (1,2,6–8).

cus aureus, Pseudomonas aeruginosa, Haemophilus influenzae, and Burkholderia cepacia complex) numerous other opportunistic bacteria have been recently reported, such as Stenotrophomonas maltophila, Achromobacter xylosoxydans, and Inquilinus limosus and methicillin-resistant S. aureus and mucoid P. aeruginosa (1,2,6–8). The first difficulty in studying infections in the lungs of patients with CF is that many bacteria present in the lung cannot be isolated from sputum samples either because of their fastidious growth requirements or because of the presence of other more common CF-related pathogens, including P. aeruginosa, S. aureus, H. influenzae, and Branhamella catarrhalis, that might ordinarily overgrow other bacteria in culture. Second, correct identification of bacteria in patients with CF remains challenging because phenotype variation is a common feature during chronic infection of the lung (4,9). Consequently, the list of bacteria that can be recovered from sputum specimens of patients with CF may be underestimated, and new or emerging bacteria that could be responsible for outbreaks in this population are not easily detected. Correct identification of these bacteria is not easily achieved.

n of the lung (4,9). Consequently, the list of bacteria that can be recovered from sputum specimens of patients with CF may be underestimated, and new or emerging bacteria that could be responsible for outbreaks in this population are not easily detected. Correct identification of these bacteria is not easily achieved. Several studies have reported the use of matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry as a powerful tool with good and reproducible results for rapid identification of clinical isolates in the microbiology laboratory (10) as well as for identifying nonfermenting gram-negative bacteria in patients with CF (11–13). This method is simple, rapid, easy to perform, inexpensive, and may ultimately replace routine phenotypic assays (10).

d and reproducible results for rapid identification of clinical isolates in the microbiology laboratory (10) as well as for identifying nonfermenting gram-negative bacteria in patients with CF (11–13). This method is simple, rapid, easy to perform, inexpensive, and may ultimately replace routine phenotypic assays (10). We report the clinical and microbiologic features of patients with CF who were infected or colonized by C. pseudodiphtheriticum. The index case-patient was a 9-year-old girl with fever and cough; a coryneform bacterium was isolated in pure culture from her sputum. After this first case, several other children with CF were found to be infected by coryneform bacteria; thus, we decided to investigate the possibility of an endemic transmission in this population. Isolated strains were identified by using existing phenotypic and molecular methods (14) as well as MALDI-TOF to decipher the relationship between these strains. Finally, a new real-time PCR with TaqMan probe (Applied Biosystems, Courtaboeuf, France) was developed and used in a retrospective analysis to detect these coryneform bacteria in our population with CF.

isting phenotypic and molecular methods (14) as well as MALDI-TOF to decipher the relationship between these strains. Finally, a new real-time PCR with TaqMan probe (Applied Biosystems, Courtaboeuf, France) was developed and used in a retrospective analysis to detect these coryneform bacteria in our population with CF. Methods Sample Collection and Bacteriologic Culture From August 2005 through June 2008, sputum samples, bronchoalveolar lavage samples, or both, were collected from patients with CF at 2 cystic fibrosis treatment centers (CFTCs), Timone Children’s Hospital (patients <18 years of age; CFTC1) and Ste. Marguerite Hospital in Marseille (patients >18 years of age; CFTC2). Only samples that showed, by direct Gram staining, infrequent epithelial cells (<10 cells/field) and numerous polymorphonuclear cells (>25 cells/field) were further analyzed and processed according to current local guidelines (4). A portion of each sample was also frozen at –20°C for further study. Respiratory samples from patients who did not have CF (children admitted to the pediatric healthcare center and adults admitted to CFTC2) were also collected for control analysis. The Corynebacterium reference strains used in this study are listed in the Table. This study was approved by our local ethics committee (no. 07–011).

ry samples from patients who did not have CF (children admitted to the pediatric healthcare center and adults admitted to CFTC2) were also collected for control analysis. The Corynebacterium reference strains used in this study are listed in the Table. This study was approved by our local ethics committee (no. 07–011). Table Strains used to test the specificity of quantitative PCR and Ct obtained in a study of Corynebacterium pseudodiphtheriticum infection in CF patients, France, August 2005–June 2008* Corynebacterium spp. Reference Ct C. accolens CIP104783T 38 C. afermentans subsp. afermentans CIP103499T – C. afermentans subsp. lipophilum CIP103500T – C. amycolatum CIP103452T – C. coyleae CIP104919T – C. diphteriae CIP100721T – C. durum CIP105490T 39 C. freneyi CIP106767T – C. glucuronolyticum CIP104577T – C. imitans CIP105130T – C. jeikeium Blood culture – C. macginleyi CIP104099T – C. minutissimum CIP100652T – C. mucifaciens CIP105129T – C. propinquum CIP103792T 23 C. pseudodiphtheriticum CIP103420T 21 C. riegelii CIP105310T 38 C. seminal CIP104297T – C. singular CIP105491T – C. striatum CIP81.15T – C. ulcerans CIP106504T – C. urealyticum CIP103524T – C. xerosis CIP100653T – C. aurimucosum CCUG 47449T – C. fastidiosum CIP103808 – *CF, cystic fibrosis; Ct, cycle threshold; –, negative.

eudodiphtheriticum CIP103420T 21 C. riegelii CIP105310T 38 C. seminal CIP104297T – C. singular CIP105491T – C. striatum CIP81.15T – C. ulcerans CIP106504T – C. urealyticum CIP103524T – C. xerosis CIP100653T – C. aurimucosum CCUG 47449T – C. fastidiosum CIP103808 – *CF, cystic fibrosis; Ct, cycle threshold; –, negative. Phenotypic Identification The positive bacilli from respiratory samples, identified by Gram stain, were investigated by metabolic tests, as oxidase and catalase activities, and by the use of Api (RAPID) Coryne Database 2.0 system (bioMérieux, Marcy-l’Etoile, France) (15). The antimicrobial drug susceptibility testing was performed by disk diffusion method on Muelle-Hinton agar with 5% sheep blood incubated for 24 h at 37°C. Genotypic Identification and Sequence Analysis Primers used in this study for amplification and sequencing the partial rpoB gene as well as PCR methods have been previously described (16). Multiple sequence alignment and percentage of similarities for the partial rpoB genes between the different species of corynebacteria were done by using the ClustalW program on the EMBL-EBI web server (www.ebi.ac.uk/clustalw). A phylogenic tree was generated by using the neighbor-joining method from MEGA 4.0 software (www.megasoftware.net). Kimura 2-parameter was used as a substitution model to construct the rpoB tree. Bootstrap replicates were performed to estimate the reliabilities of the nodes of the phylogenic tree obtained.

k/clustalw). A phylogenic tree was generated by using the neighbor-joining method from MEGA 4.0 software (www.megasoftware.net). Kimura 2-parameter was used as a substitution model to construct the rpoB tree. Bootstrap replicates were performed to estimate the reliabilities of the nodes of the phylogenic tree obtained. Bacterial Analysis by MALDI-TOF Mass Spectrometry The strains were plated on Columbia agar with 5% sheep blood (COS) (bioMérieux) and incubated for 24 h at 37°C. One isolated colony from each strain was harvested and deposited on a target plate (Bruker Daltonics, Bremen, Germany) in 3 replicates. Two microliters of matrix solution (saturated α-cyano-4-hydroxycinnamic acid, 50% acetonitrile, 2.5% trifluoroacetic acid) was then added and samples were processed in the MALDI-TOF mass spectrometry (337 nm) (Autoflex, Bruker Daltonics with the flex control software) (10). The profiles were compared and analyzed by Biotyper 2.0 (Bruker Daltonics) and finally a dendrogram of mass spectral data was constructed by using the instructor default setting. The Biotyper 2.0 program generates the tree depending on distance-based method and does not provide branch support values.

ol software) (10). The profiles were compared and analyzed by Biotyper 2.0 (Bruker Daltonics) and finally a dendrogram of mass spectral data was constructed by using the instructor default setting. The Biotyper 2.0 program generates the tree depending on distance-based method and does not provide branch support values. Real-time PCR A new real-time PCR with a TaqMan probe (Applied Biosystems) that targets the rpoB gene of C. pseudodiphtheriticum has been developed and tested retrospectively in sputum samples that had previously been collected in a 1-year study from January through December 2006. Sputum samples from 4 groups of patients were analyzed: sputum samples from child (group 1) and adult (group 2) CF patients and sputum samples from non-CF children (group 3) and from non-CF adults (group 4). Primers and probe used were as follows: CorynPF (5′-GACGGYGCTTCCAACGAAGA-3′) and CorynPR (5′-CCGACGGAGATCGGGTGC-3′) and probe CorynPr (6FAM-TCTGTTGGCTAACTCCCGYCCAAA-TAMRA). Specificity of these primers and probe was verified in silico by using the BLAST program (www.ncbi.nlm.nih.gov/BLAST) as well as by using corynebacteria reference strains (Table). Sensitivity was assessed by using tenfold serial dilutions of a 0.5 MacFarland inoculum.

robe CorynPr (6FAM-TCTGTTGGCTAACTCCCGYCCAAA-TAMRA). Specificity of these primers and probe was verified in silico by using the BLAST program (www.ncbi.nlm.nih.gov/BLAST) as well as by using corynebacteria reference strains (Table). Sensitivity was assessed by using tenfold serial dilutions of a 0.5 MacFarland inoculum. Results Patients and Samples Overall, 229 patients with CF were monitored from August 2005 through June 2008 in the 2 CFTCs in Marseille (118 children and 111 adults). During this period, 18 corynebacteria were isolated from respiratory samples of 13 children with CF (11.0%) but none from adults with CF (p<0.001). Details for the 13 patients are given in the Table A1. The mean age was 4.3 (0.3–16) years, and the sex ratio (M:F) was 0.6. Isolation of C. pseudodiphtheriticum was associated with clinical symptoms in 10 patients (76.9%), including cough, rhinitis, asthma crisis, and lung exacerbations (Table A1). The culture of C. pseudodiphtheriticum from respiratory samples was pure in 6 cases (in 2 cases, patients had clinical symptoms). For 4 patients, a Corynebacterium isolate was obtained on >1 occasion (Table A1). Six patients were treated, including 3 with β-lactams only, 1 with a combination of a β-lactam and cotrimoxazole, 1 with cotrimoxazole alone, and 1 with cotrimoxazole alone initially and then amoxicillin because no improvement was noticed and the isolate was resistant to cotrimoxazole.

tained on >1 occasion (Table A1). Six patients were treated, including 3 with β-lactams only, 1 with a combination of a β-lactam and cotrimoxazole, 1 with cotrimoxazole alone, and 1 with cotrimoxazole alone initially and then amoxicillin because no improvement was noticed and the isolate was resistant to cotrimoxazole. Phenotypic and Molecular Identification of the Isolates All corynebacteria were isolated from Columbia agar with 5% sheep blood. Colonies were white and nonhemolytic. They were all catalase positive and oxidase negative. The use of the ApiCoryne 2.0 system yielded identification of 16 C. pseudodiphtheriticum and 1 C. propinquum, with a confidence level 83%–99% (Table A1). The remaining isolate was poorly identified as Brevibacter sp. with an uninterpretable pattern (Table A1). All isolates were susceptible to β-lactams, vancomycin, rifampin, gentamicin, and doxycycline, whereas there was heterogeneity of susceptibility for erythromycin and cotrimoxazole (Table A1). The partial rpoB gene sequencing provided an accurate identification for 18 isolates (A1 to M) with similarity >97% compared with reference strains (Table A1). The results of the MALDI-TOF identification matched perfectly with the partial rpoB sequencing identification for all the isolates; mean score values ranged from 1.8–2.5 (Table A1). Figure 1 presents 2 trees built by using MALDI-TOF mass spectrometry (Figure 1, panel A) and by using partial rpoB gene sequences (Figure 1, panel B). Although comparison between these 2 trees was impossible because of the different methods used (i.e., Euclidean distance method for MALDI-TOF dendrogram and neighbor-joining method for phylogenetic tree), the 2 trees gave a similar clustering of the isolates (Figure 1).

partial rpoB gene sequences (Figure 1, panel B). Although comparison between these 2 trees was impossible because of the different methods used (i.e., Euclidean distance method for MALDI-TOF dendrogram and neighbor-joining method for phylogenetic tree), the 2 trees gave a similar clustering of the isolates (Figure 1). Figure 1 Phylogenetic tree showing the position of Corynebacterium spp. isolated in patients with cystic fibrosis based on comparisons of the mass spectra obtained with matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (A) and of sequences of the partial RNA polymerase β-subunit gene rpoB (B). For MALDI-TOF, a tree was constructed with Biotyper 2.0 software (Bruker Daltonics, Bremen, Germany) using Euclidean distance. The rpoB tree was constructed by the neighbor-joining method and a maximum likelihood-based distance algorithm and numbers on branches indicate the bootstrap values derived from 500 replications. *Reference strains (Mycobacterium tuberculosis H37Rv, C. propinquum CIP103792T, C. pseudodiphtheriticum CIP103420T).

stance. The rpoB tree was constructed by the neighbor-joining method and a maximum likelihood-based distance algorithm and numbers on branches indicate the bootstrap values derived from 500 replications. *Reference strains (Mycobacterium tuberculosis H37Rv, C. propinquum CIP103792T, C. pseudodiphtheriticum CIP103420T). Real-time PCR Sensitivity of our new real-time PCR ranged from 5 CFU/mL to 10 CFU/mL; specificity for C. pseudodiphtheriticum was verified by testing Corynebacterium spp. reference strain cultures with C. propinquum, the most closely related species, which was also amplified. A low level of cross-amplification was also observed in 3 other species with cycle thresholds (Ct) >38 cycles, including C. accolens, C. durum, and C. riegelii (Table); this finding could not be considered clinically relevant. To estimate the prevalence of this bacterium in our CF population, we used the real-time PCR to test, retrospectively and blindly, all respiratory samples available from January through December 2006 from 146 patients with CF (n = 356 sputum samples; 86 children, group 1; and 60 adults, group 2) and from 56 patients without CF (n = 67 sputum samples; 18 children, group 3; and 38 adults, group 4). We found 24 PCR-positive sputum specimens (Ct <37) in 17 children (19.8%) and 3 adults (5%) in patients with CF (Figure 2). Among these 24 PCR-positive samples only 2 were culture positive (sample A1, Table A1) (p<0.0001). Thus, 16 additional children and 3 adult patients with CF were eventually colonized with this bacterium. For the control group, although all samples were culture negative, we found 3 PCR-positive samples in 2 adult patients, who were followed up in CFTC2 for lung transplantation, and none from children (Figure 2). The 2 PCR-positive lung-transplant patients were hospitalized in the adult CFTC with 2 adult patients with CF during the same period. For these 2 patients, cultures of sputum samples were polymicrobial, and findings were interpreted as normal flora. Finally, the number of PCR-positive children with CF was significantly higher than the number of either children without CF or adults with CF (p = 0.03 and p = 0.01, respectively; Figure 2). Conversely, this difference was not significant between adult patients with CF and adult patients without CF (Figure 2). Notably, the 18 children who did not have CF were seen by clinicians in the same hospital, but not in the same healthcare center, and were not in contact with CF children.

1, respectively; Figure 2). Conversely, this difference was not significant between adult patients with CF and adult patients without CF (Figure 2). Notably, the 18 children who did not have CF were seen by clinicians in the same hospital, but not in the same healthcare center, and were not in contact with CF children. Thus, the only risk factor found for being infected or colonized with C. pseudodiphtheriticum was to be monitored at the CF center. Figure 2 Results of real-time quantitative PCR specific for the rpoB gene for the detection of Corynebacterium pseudodiphtheriticum in sputum samples for the 4 groups of patients from 3 separate healthcare centers in Marseille, France, from January through December 2006. Black lines separate the different healthcare centers. Group 1, cystic fibrosis (CF) treatment center (CFTC) 1, with children with CF; group 2, CFTC2, with adults with CF; group 3, center with children without CF; group 4, patients without CF. *Patients from groups 2 and 4 hospitalized in the same healthcare center (CFTC2).

lines separate the different healthcare centers. Group 1, cystic fibrosis (CF) treatment center (CFTC) 1, with children with CF; group 2, CFTC2, with adults with CF; group 3, center with children without CF; group 4, patients without CF. *Patients from groups 2 and 4 hospitalized in the same healthcare center (CFTC2). Discussion We report the isolation of C. pseudodiphtheriticum in children with CF who had respiratory disease, mainly cough and rhinitis. As reemphasized in our study, this group of organisms is poorly identified by current phenotypic methods that lack specificity and result in ambiguous or even erroneous identification. These bacteria are usually considered as part of the natural flora of the respiratory tract, skin, and mucous membranes (17) and are not reported to clinicians. Moreover, culture of bacteria from sputum samples of patients with CF is known to lack sensitivity, either because of the fastidious nature of several organisms or because of overgrowth by common bacteria such as mucoid P. aeruginosa (4,5). For these reasons, an outbreak in a specific population of patients such as patients with CF may easily go unnoticed.

tum samples of patients with CF is known to lack sensitivity, either because of the fastidious nature of several organisms or because of overgrowth by common bacteria such as mucoid P. aeruginosa (4,5). For these reasons, an outbreak in a specific population of patients such as patients with CF may easily go unnoticed. Our study shows that a correct identification of bacteria remains critical for detecting such a possibility and that surveillance of the circulation of bacteria within patients with CF should be addressed in the future so new or emerging pathogens can be detected. For this purpose, we eventually identified the isolates by using PCR amplification and sequencing of the rpoB gene (currently the standard method) (16) and compared the findings to those obtained with the MALDI-TOF mass spectrometry method. Interestingly, the bacteria identified were exactly the same with both methods. This result suggests MALDI-TOF may represent a rapid inexpensive alternative assay for identification of these bacteria at the species level as recently reported for routine identification of bacteria (10). Moreover, both methods were highly discriminatory and allowed us to demonstrate that patients were infected or colonized by C. pseudodiphtheriticum. The dendogram obtained with the MALDI-TOF technique for identification of C. pseudodiphtheriticum was in general agreement with that of a partial rpoB gene sequencing phylogenetic tree, but identification of the strains at the species level could be obtained within minutes. Further studies to evaluate the typing power of MALDI-TOF mass spectrometry to discriminate bacterial strains below the species level should be done. In addition, the correct identification of the bacteria was the critical step in designing a new tool, i.e., a specific real-time quantitative PCR, to investigate the presence of an outbreak in the CF population.

er of MALDI-TOF mass spectrometry to discriminate bacterial strains below the species level should be done. In addition, the correct identification of the bacteria was the critical step in designing a new tool, i.e., a specific real-time quantitative PCR, to investigate the presence of an outbreak in the CF population. The importance of positive cultures for nondiphtheria corynebacteria obtained from clinical samples of patients with signs and symptoms should not be overlooked (18). Although nondiphtheria corynebacteria were historically considered as contaminants without clinical significance, an increasing body of evidence shows their pathogenicity, especially as a cause of nosocomial infection in hospitalized and immunocompromised patients (19). Among coryneform bacteria, C. pseudodiphtheriticum and C. striatum have been well documented as pathogens of the respiratory tract, leading to nosocomial and community-acquired pneumonia (18,20,21) as well as bronchitis, tracheitis, lung exacerbation, chronic obstructive lung disease, and lung abscesses (22–29).

(19). Among coryneform bacteria, C. pseudodiphtheriticum and C. striatum have been well documented as pathogens of the respiratory tract, leading to nosocomial and community-acquired pneumonia (18,20,21) as well as bronchitis, tracheitis, lung exacerbation, chronic obstructive lung disease, and lung abscesses (22–29). In our study, we were initially surprised to isolate these bacteria in pure culture from sputa of patients with CF. About 70% of the patients had pulmonary symptoms, especially cough, and 6 (46.2%) case-patients required antimicrobial drug treatment. It is noteworthy that these clinical symptoms may be due either to coryneform toxins or to other respiratory pathogens, including viruses that were not investigated in this study. Surprisingly, 4 of 13 children had >1 isolate during the study period, which suggests that patients with CF become chronically colonized with C. pseudodiphtheriticum. Because of the difficulty in isolating these bacteria in respiratory samples, except for those that are in pure culture, their prevalence within the CF population may well be underestimated. This hypothesis was supported by the retrospective detection of DNA in additional sputum specimens from children with CF whose culture results were negative (≈20% of positive children) and adult patients by using our specific real-time PCR. We found that C. pseudodiphtheriticum was significantly associated with children with CF, which suggests transmission between patients with CF may have occurred in the CF healthcare center because none of the children without CF who were seen in a separate healthcare center (a different floor in the hospital) were PCR positive.

that C. pseudodiphtheriticum was significantly associated with children with CF, which suggests transmission between patients with CF may have occurred in the CF healthcare center because none of the children without CF who were seen in a separate healthcare center (a different floor in the hospital) were PCR positive. Patient-to-patient transmission could not be excluded and should be further investigated because 2 adult patients without CF who had PCR-positive specimens were detected in the same adult CFTC where they likely had contact with 2 PCR-positive CF adult patients. Such transmission has been recently demonstrated for C. striatum as a cause of nosocomial outbreak and respiratory colonization in patients with chronic obstructive pulmonary disease (30). Similarly, an outbreak of clonal multidrug-resistant strains of C. striatum as an emerging agent of pulmonary disease has been recently reported in Italy (21). Further epidemiologic studies are warranted to define the role of C. pseudodiphtheriticum transmission in the course of CF disease in other CF centers. Finally we believe that the implementation of isolation or segregation measures should be the rule in CF centers to reduce the risk of transmission of pathogens.

(21). Further epidemiologic studies are warranted to define the role of C. pseudodiphtheriticum transmission in the course of CF disease in other CF centers. Finally we believe that the implementation of isolation or segregation measures should be the rule in CF centers to reduce the risk of transmission of pathogens. In conclusion, corynebacteria may colonize the respiratory tract of CF patients. Although the clinical importance of C. pseudodiphtheriticum in the complex setting of CF patients is less clear, we believe that this bacterium should be added in the list of new or emerging pathogens in these patients. Further clinical studies are needed to establish whether corynebacteria may contribute to the pathology of lung disease in CF patients. Suggested citation for this article: Bittar F, Cassange C, Bosdure E, Stremler N, Dubs J-C, Sarles J, et al. Outbreak of Corynebacterium pseudodiphtheriticum infection in cystic fibrosis patients, France. Emerg Infect Dis [serial on the Internet]. 2010 Aug [date cited]. http://dx.doi.org/10.3201/eid1608.100193 Acknowledgment We thank Paul Newton for reviewing the English in this manuscript. Table A1 Clinical data of patients with cystic fibrosis, with phenotypic and genotypic identification of Corynebacterium isolates, France, 2006* Patient Age/sex Isolate Symptoms Treatment Sample Other isolated pathogens Identification Ery SXT ApiCoryne rpoB PCR MALDI-TOF MS Result % Code Result % Accession no.

Acknowledgment We thank Paul Newton for reviewing the English in this manuscript. Table A1 Clinical data of patients with cystic fibrosis, with phenotypic and genotypic identification of Corynebacterium isolates, France, 2006* Patient Age/sex Isolate Symptoms Treatment Sample Other isolated pathogens Identification Ery SXT ApiCoryne rpoB PCR MALDI-TOF MS Result % Code Result % Accession no. Result Score value† A 4 mo/F A1 Cough Unknown BAL SA, fungi CP 96.8 3001004 CP 99 AY492232 CP 1,815 R S A2 None Unknown BAL None CP 96.8 3001004 CP 99 AY492232 CP 2,492 R S A3 Unknown Unknown BAL None CP 99 7001004 CP 99 AY492232 CP 1,950 R I B 35 mo/F B Rhinitis None NPA HI CP 96.8 3001004 CP 97 AY492232 CP 2,051 R S C 5 y/M C None None SP SA CP 84.6 3003004 CP 100 AY492232 CP 2,477 S S D 10 y/F D None None SP CAL CP 94.9 3101004 CP 100 AY492232 CP 2,272 I S E 13 mo E Unknown Unknown BAL None Br UIP 5101764 CP 100 AY492232 CP 2,353 S S F 2 y/M F Cough AMX and SXT BAL SA, fungi CP 94.9 3101004 CP 99 AY492232 CP 2,416 S I G 15 mo/F G1 Cough AUG NPA SA CP 97.9 5101007 CP 97 AY492232 CP 2,246 R S G2 None None NPA None CPQ 88 3000004 CP 100 AY492232 CP 2,069 R S H 35 mo/F H Rhinitis, cough AMX NPA SA CP 92.3 1021004 CP 99 AY492232 CP 1,914 R S I 2 mo/F I1 Cough None NPA EC CP 1.1 2001004 CP 98 AY492232 CP 2,444 R S I2 Cough None NPA EC CP 95 3101004 CP 98 AY492232 CP 2,406 S S J 9 y/F J Cough SXT then AMX SP None CP 94.9 3101004 CP 98 AY492232 CP 2,461 S S K 21 mo/M K1 Rhinitis, cough AUG NPA BC CP 97.9 5101004 CP 98 AY492232 CP 2,386 R S K2 Rhinitis AUG NPA HI CP 94.9 3101004 CP 98 AY492232 CP 2,044 R S L 3 y/M L Cough SXT NPA BC CP 94.9 3101004 CP 98 AY492232 CP 2,098 R S M 16 y/F M Rhinitis None SP None CP 96.8 3001004 CP 98 AY492232 CP 1,787 S R *MALDI-TOF MS, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry; Ery, erythromycin; SXT, cotrimoxazole; BAL, bronchoalveolar fluid; SA, Staphylococcus aureus; CP, Corynebacterium pseudodiphtheriticum; R, resistant; S, sensitive; I, intermediary; NPA, nasopharyngeal aspirate; SP, sputum sample; HI, Haemophilus influenzae; CAL, Candida albicans; Br, Brevibacterium sp; UIP, uninterpretable pattern; AMX, amoxicillin; AUG, amoxicillin and clavulanic acid; CPQ, Corynebacterium propinquum; EC, Escherichia coli; BC, Branhamella catarrhalis. †Score value represents the mean of 3 different analyses.

SP, sputum sample; HI, Haemophilus influenzae; CAL, Candida albicans; Br, Brevibacterium sp; UIP, uninterpretable pattern; AMX, amoxicillin; AUG, amoxicillin and clavulanic acid; CPQ, Corynebacterium propinquum; EC, Escherichia coli; BC, Branhamella catarrhalis. †Score value represents the mean of 3 different analyses. Dr Bittar is a postdoctoral researcher at Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, Unité Mixte de Recherchd, Faculty of Medicine, Marseille. His research interests include detection and description of new or emerging pathogens in cystic fibrosis patients.