Abstract
Prosthetic joint infection (PJI) is an increasingly important health concern in the Western world due to the rising number of joint arthroplasties. Although most infections are considered to be monomicrobial, the introduction of sonication procedures has led to an increase in the detection of polymicrobial infections. To date, no published studies have investigated the presence of different clones of the same species in the infected patient. The objective of this study was to analyze whether the phenomenon of polyclonality, or the appearance of different clones in the same sample, occurs in PJI. Bacteria isolated by sonication of the retrieved implant from patients with theoretically monomicrobial PJI were included in the study. Two techniques (random amplified polymorphic DNA [RAPD] and matrix-assisted laser desorption ionization–time of flight [MALDI-TOF] mass spectrometry) were used to determine the presence of several clones in the same sample. Results were analyzed to determine bacterial species and infection type (acute versus chronic). RAPD showed a predominance of polyclonal cases (16 of 19). However, when performing the analysis with MALDI-TOF, all cases were shown to be polyclonal. We were unable to establish any relationship between the two methodologies. Polyclonality is a common phenomenon in acute and chronic PJI. Further studies are needed to establish the potential implications of this phenomenon on patient outcomes.
INTRODUCTION
Prosthetic joint replacement, or arthroplasty, is a surgical procedure that has improved the quality of life for many people around the world, providing pain relief and improved functionality to limbs (1–3). However, 10% of all patients who undergo this operation develop complications at some point in their lives; although it is not the most common, infection is one of the most significant of these complications, having an incidence of 1% to 3% (1, 3, 4). The microorganisms that cause most cases of prosthetic joint infection (PJI) are those belonging to the genus Staphylococcus (60% of cases), of which infections caused by Staphylococcus aureus constitute 25%. Gram-negative organisms (Enterobacteriaceae, Pseudomonas aeruginosa, and other species) represent a smaller proportion of cases (10%) (1, 2, 5). Notably, up to 20% to 25% of PJIs are polymicrobial infections (1–3).
When the growth conditions of the bacteria causing PJI become hostile, as may occur during antibiotic therapy, a coping mechanism known as spontaneous random hypermutation occurs as the bacteria attempt to overcome the unfavorable environment (6). This results in the development of polyclonality or the appearance of different clones in the same sample or environment (6). Polyclonality can also occur when the patient is infected with different clones from the same section of skin, which may occur either during surgery or afterwards and is likely a more common phenomenon (7). Several reports have found polyclonality in monomicrobial infections among isolates of small-colony variant staphylococci, which present phenotypically different colonies (8–10), but this phenomenon may also happen among phenotypically identical colonies.
The main objective of this study was to determine whether polyclonality can be detected in bacterial isolates from patients with apparently monomicrobial PJI. In addition, we aimed to compare the results obtained using the matrix-assisted laser desorption ionization–time of flight (MALDI-TOF) mass spectrometry technique with those obtained from random amplified polymorphic DNA (RAPD).
MATERIALS AND METHODS
Isolates from 19 consecutive PJIs were included in the study. We selected those consecutive species from samples obtained from PJIs diagnosed from December 2011 to December 2013 that belonged to patients who fulfilled the following criteria.
Patients were diagnosed as having PJI according to internationally established criteria (11). Clinical patient data were analyzed and classified as acute, delayed/chronic, or hematogenous PJI according to the aforementioned criteria (11). Of these patients, only those with sonicated implants that had colony counts of >10,000 CFU/ml and had positive cultures from other periprosthetic samples according to the criteria described by Atkins et al. (12) were selected for the study. Only apparently monomicrobial infections were included. All joint prostheses were sonicated using a previously described protocol (13, 14). Twenty colonies from the same species were subcultured and frozen at −80°C until further experiments were performed. Although in most cases colonies were apparently identical to each other, one of the infections presented colonies with different morphologies (small-colony variants S. aureus strain). Therefore, colonies were randomly selected, except in this case, where morphologically different colonies were chosen.
Antimicrobial susceptibility testing of all isolates was performed by a disc-plate assay according to CLSI (15) procedures using a turbidimeter (DensiChek Plus; bioMérieux, Marcy l'Etoile, France) to achieve a 0.5 McFarland standard turbidity. A difference between isolates was considered for a difference in the inhibition zone diameter of >5 mm. The tested antibiotics were penicillin, cefoxitin, gentamicin, levofloxacin, vancomycin, co-trimoxazole, and erythromycin for gram-positve bacteria; ampicillin, amoxicillin-clavulanic acid, cefuroxime, ceftriaxone, ceftazidime, imipenem, meropenem, ertapenem, levofloxacin, co-trimoxazole, fosfomycin, gentamicin, and amikacin for Enterobacteriaceae; and piperacillin-tazobactam, ceftazidime, cefepime, aztreonam, imipenem, meropenem, doripenem, colistin, co-trimoxazole, doxiciline, gentamicin, amikacin, norfloxacin, and ciprofloxacin for nonfermenter Gram-negative rods (all discs from bioMérieux, Marcy l'Etoile, France). Major differences were considered when a change in the interpretation (i.e., from susceptible to resistant) was detected.
Clinical charts of the patients were retrospectively reviewed in order to obtain clinically relevant data using a predefined protocol. The criteria used for the evaluation were those defined by the Infectious Diseases Society of America (IDSA) (11). The study was approved by the Ethics in Research Committee of our institution (reference number EO 04/2015_FJD).
MALDI-TOF.
One loop from a pure culture was placed on a specific carrier and was then mixed with a suitable matrix (1 μl of α-cyano-4-hydroxycinnamic acid [CHCA Vitek-MS; bioMérieux, Marcy l'Etoile, France]). After drying the mixture at room temperature, the slides were inserted into a mass spectrometer (MS) (Vitek 3.2.0 to 5; bioMérieux, Marcy l'Etoile, France). The software (Vitek acquisition station MS) processed the registered signal, resulting in a spectrum of intensity versus mass in daltons (Da).
RAPD.
Bacteria were inoculated onto Trypticase soy 5% sheep blood agar (bioMérieux, Marcy l'Etoile, France) for 24 h at an atmosphere of 5% CO2 and a temperature of 37°C. The purity of each culture was checked, and then all of the biomass from each agar plate was suspended in 500 μl of sterile distilled water. Then, samples were heated to 95°C in a thermoblock (FB15101 dry bath; Fisher Scientific, Madrid, Spain) for 30 min. Samples were then centrifuged for 5 min at 14,000 rpm, and 450 μl of supernatant was retained. S. aureus DNA was extracted using the easyMag 2.0 automated DNA extractor (bioMérieux, Marcy l'Etoile, France).
Subsequently, DNA was quantified with the NanoDrop ND-1000 spectrophotometer (Thermo Scientific, Madrid, Spain), and the samples were then adjusted to a final concentration of 100 ng/μl DNA.
Primers used for RAPD analysis were selected from the literature (Table 1). Three different primers were used for each bacterial species. For microorganisms belonging to the genus Staphylococcus, common primers were used for all species.
TABLE 1.
Name and sequence of the primers used in this study
| Species | Primer | Sequence (5′ to 3′) | Reference |
|---|---|---|---|
| Enterobacter cloacae | ECLC-1 | GGTGCGGGAA | Clementino et al. (43) |
| ECLC-2 | GTTTCGCTCC | ||
| ECLC-3 | GTAGACCCGT | ||
| Pseudomonas aeruginosa | PSAE-1 | ACGGCCGACC | Mahenthiralingan et al. (44) |
| PSAE-2 | GCTGGGCCGA | ||
| PSAE-3 | GCCCGAGCGG | ||
| Klebsiella pneumoniae | F-4 | GGTATCAGG | Brisse and Verhoef, (45) Ashayeri-Panah et al. (46) |
| AP-4 | TCACGATGCA | ||
| A-10 | GTGATCGCAT | ||
| Sphingomonas paucimobilis | OPA-5 | AGGGGTCTTG | Perola et al., (47) |
| OPB-10 | CTGCTGGAC | ||
| M-13 | TTATGTAAAACGACGGCCAGT | Hsueh et al., (48) | |
| Staphylococcus aureus | OLP-6 | GAGGGAAGAG | Reinoso et al., (49) |
| Staphylococcus epidermidis | OLP-11 | ACGATGAGCC | |
| Staphylococcus lugdunensis | OLP-13 | ACCGCCTGCT |
In order to perform the amplification, a master mixture containing 19 μl of DNA-free water and 1 μl of primer was added to PuReTaq Ready-To-Go PCR beads (GE Healthcare, Madrid, Spain) along with 5 μl of the sample DNA. This was subjected to a program consisting of 39 cycles at 94°C for 1 min, 36°C for 1 min, and 72°C for 2 min. After completing all cycles, a final period of 10 min at 72°C was performed. For the genetic material extracted from staphylococci, the amplification program was initially 5 min at 94°C followed by 39 cycles of 93°C for 1 min, 37°C for 30 s, and 72°C for 1 min. This program concluded with 8 min at 72°C.
Electrophoresis was performed in a 3% agarose gel (Agarose Basic; AppliChem GmbH, Germany) to which 5 μl of ethidium bromide was added. To prepare the gel and to immerse it in the electrophoresis tank, 1× Tris-borate-EDTA (TBE) buffer was used. Twenty microliters of the mixture was loaded into the wells of the gel and run for 4 to 5 h at 80 V. Gels were analyzed under UV transillumination, and the images were captured for further analysis.
Data analysis.
The spectra obtained from the mass spectrometer (MALDI-TOF technique) and the images of the agarose gels (RAPD technique) were analyzed using BioGene software (BioGene, Kimbolton Cambs, United Kingdom), which considered strains with a homology of 95% to 100% as being identical. The identities of the profiles with 3 sets of primers were used as the criteria for monoclonality using RAPD.
Data were statistically analyzed using the EPI-INFO 3.5.4 (2012) software (CDC, Atlanta, GA, USA). To compare qualitative variables, Fisher's exact test was used.
RESULTS
During the study period, 86 culture-positive PJI were diagnosed (39 acute, 7 hematogenous, and 40 chronic/delayed). Among these, only 19 fulfill all of the established criteria to be included in the study. The bacterial species included were Enterobacter cloacae, Pseudomonas aeruginosa, Klebsiella pneumoniae, Sphingomonas paucimobilis, S. aureus, Staphylococcus epidermidis, and Staphylococcus lugdunensis (Table 2). Clinical characteristics of the patients and results of the microbiological studies appear in Table 3.
TABLE 2.
Number and percentage of infections caused by each organism isolated for the total number of cases studied (19 cases)
| Bacterial species | No. of infections | Percentage of infections |
|---|---|---|
| Enterobacter cloacae | 2 | 10.52 |
| Pseudomonas aeruginosa | 2 | 10.52 |
| Klebsiella pneumonia | 1 | 5.26 |
| Sphingomonas paucimobilis | 1 | 5.26 |
| Staphylococcus aureus | 9 | 47.37 |
| Staphylococcus epidermidis | 3 | 15.79 |
| Staphylococcus lugdunensis | 1 | 5.26 |
TABLE 3.
Epidemiological, clinical, and microbiological data of the studied cases
| Patient | Age | Sexa | Joint | Date of implant surgery (mo/day/yr) | Date of implant removal (mo/day/yr) | Microbiology of the implant |
Treatmentb | Other positives samples | Number of clones obtained |
Clinical outcome | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Microorganism | CFU/ml | Major differences in antimicrobial susceptibility | RAPD | MALDI-TOF | |||||||||
| 1 | 75 | M | Knee | 07/11/2013 | 09/20/2013 | S. epidermidis | 80,000 | No | Vancomycin + fosfomycin | 1 Synovial fluid | 3 | 7 | Good (24 mo) |
| 2 | 70 | M | Hip | 17/12/2013 | 01/10/2014 | S. aureus | 10,000 | No | Levofloxacin + rifampin, linezolid + rifampin | 1 Wound exudate + 1 synovial fluid | 1 | 4 | Reinfection |
| 3 | 69 | F | Knee | 11/08/2012 | 10/24/2013 | S. aureus | >100,000 | No | Rifampin + co-trimoxazole | 2 Synovial fluid + periprosthetic tissue samples | 4 | 10 | Good (18 mo) |
| 4 | 78 | F | Hip | 02/26/2013 | 05/31/2013 | S. epidermidis | 10,000 | No | Vancomycin + rifampin | Periprosthetic tissue samples | 3 | 7 | Good (12 mo) |
| 5 | 43 | M | Hip | 11/16/2012 | 11/29/2012 | E. cloacae | 100,000 | No | Co-trimoxazole + levofloxacin | 1 Periprosthetic tissue sample | 7 | 2 | Good (33 mo) |
| 6 | 92 | F | Hip | 12/13/2013 | 01/14/2014 | S. aureus | >100,000 | No | Clindamycin + rifampin | 1 Synovial fluid | 2 | 8 | Follow up lost after 4 mo (good until this date) |
| 7 | 56 | M | Knee | 04/03/2012 | 03/19/2013 | S. lugdunensis | >100,000 | No | Levofloxacin + rifampin | 3 Synovial fluids | 4 | 3 | Reinfection |
| 8 | 70 | F | Hip | 12/27/2012 | 01/08/2013 | P. aeruginosa | 10,000 | No | Ciprofloxacin + amikacin + cefepime | 1 Synovial fluid | 1 | 4 | Good (7 mo) |
| 9 | 87 | F | Hip | 08/09/2013 | 08/26/2013 | P. aeruginosa | 30,000 | No | Ciprofloxacin + amikacin + cefepime | 1 Drainage fluid, 1 hematoma, 2 subcutaneous tissue, 1 wound exudate | 1 | 4 | Good (12 mo) |
| 10 | 51 | M | Hip | 11/13/2013 | 12/11/2013 | SCVc S. aureus | 10,000 | Yesd | Vancomycin + rifampin, Levofloxacin + rifampin | 1 Wound exudate, 1 periprosthetic tissue sample, 1 synovial fluid | 11 | 5 | Good (18 mo) |
| 11 | 82 | M | Hip | 12/27/2011 | 02/25/2014 | S. aureus | >100.000 | Yese | Levofloxacin + co-trimoxazole | 6 Periprosthetic tissue samples and 2 wound exudates | 12 | 5 | Good (12 mo) |
| 12 | 75 | M | Knee | 12/23/2013 | 01/16/2014 | S. aureus | 12,000 | No | Clindamycin + rifampin, co-trimoxazole + linezolid | 1 Synovial biopsy, 1 synovial fluid, 1 wound exudate | 7 | 4 | Follow up lost after 1 mo |
| 13 | 44 | M | Hip | 06/11/2013 | 07/03/2013 | S. aureus | >100,000 | No | Levofloxacin + rifampin | 1 Periprosthetic tissue sample, 1 synovial fluid, 1 wound exudate | 10 | 2 | Good (13 mo) |
| 14 | 71 | M | Knee | 08/26/2013 | 09/17/2013 | S. aureus | >100.000 | No | Levofloxacin + rifampin | 1 Periprosthetic tissue sample, 1 wound exudate, 1subcutaneous tissue, 1 hematoma | 8 | 5 | Good (20 mo) |
| 15 | 79 | F | Knee | 01/14/2013 | 04/15/2013 | E. cloacae | 50,000 | No | Ciprofloxacin + co-trimoxazole | 2 Synovial fluids, 1 periprosthetic tissue sample | 7 | 5 | Good (26 mo) |
| 16 | 87 | M | Knee | 03/12/2013 | 01/30/2014 | S. epidermidis | >100,000 | No | Vancomycin + rifampin | 1 Synovial fluid, 5 periprosthetic tissue | 2 | 5 | Reinfection |
| 17 | 85 | M | Hip | 12/13/2013 | 01/30/2014 | S. aureus | >100,000 | No | Vancomycin + rifampin, co-trimoxazole + rifampin | 1 Synovial fluid, 1 periprosthetic tissue sample | 5 | 7 | Good (15 mo) |
| 18 | 81 | F | Hip | 04/25/2012 | 10/04/2013 | S. paucimobilis | 10,000 | No | No | 1 Periprosthetic tissue sample | 9 | 4 | Death due to other underlying diseases 1 day after surgery |
| 19 | 87 | F | Hip | 02/27/2013 | 13/03/2013 | K. pneumoniae | 10,000 | No | Amoxicillin-clavulanic, imipenem + amikacin | 1 Wound exudate, 1 synovial fluid, 1 periprosthetic tissue sample | 7 | 6 | Follow up lost after 1 mo |
M, male; F, female.
Empirical therapy during the study period was vancomycin + ceftazidime.
SCV, small-colony variant.
Case 10: Difference of 1 clone with gentamicin, levofloxacin, co-trimoxazole, and erythromycin. 1 clone showed inhibition zones higher than 40 mm for all antibiotics. Another clone showed major difference for doxycycline. Three clones showed major differences for co-trimoxazole and erythromycin.
Case 11: Major difference of 2 clones with gentamicin. Two clones showed inhibition zones higher than 40 mm for cefoxitin, co-trimoxazole, and erythromycin.
The RAPD assays of the 2 cases of E. cloacae revealed polyclonality in both, with detection of 7 different clones in each of the cases. In contrast, all clones of P. aeruginosa were identical in the 2 cases studied. As in the case of E. cloacae, RAPD analysis of K. pneumoniae showed the existence of 7 individual clones. Another example of polyclonality was found in the analysis of S. paucimobilis, with 9 different clones. Regarding analyses of S. aureus, the results were highly variable, ranging from monoclonal infections (1 case) to cases in which there were 2, 4, 5, 7, 8, 10, 11, and even 12 different clones. Analysis of S. epidermidis showed less variability than that of S. aureus, resulting in a maximum of 3 different clones (2 of the cases). The only case of S. lugdunensis had 4 different clones.
Based on the results obtained by RAPD, there was a clear predominance of polyclonal infections (16 of the 19 cases studied). The causal organisms of monoclonal infections were S. aureus (1 case) and P. aeruginosa (2 cases). Conversely, the analysis performed with MALDI-TOF suggested that all infections were polyclonal, including the cases that were considered to be monoclonal by RAPD. Figures 1 and 2 illustrate examples of the spectra obtained by MALDI and the corresponding dendrogram for one case of E. cloacae. Examples of the dendrograms obtained from RAPD images are shown in Fig. 3.
FIG 1.
Example of spectra and dendrogram corresponding to case 5 (E. cloacae). BioGene software analyzes the spectra and considers the strains with a 95% to 100% homology to be identical. The dendrogram groups these strains with the same spectrum.
FIG 2.
Example of spectra and dendrogram corresponding to case 5 (E. cloacae). BioGene software analyzes the spectra and considers the strains with a 95% to 100% homology to be identical. The dendrogram groups these strains with the same spectrum.
FIG 3.
Dendrograms obtained with the 3 primers used for Enterobacter cloacae (case 5) by RAPD. BioGene software groups, for each primer (ECLC1, ECLC2, and ECLC3), strains with a 95% to 100% homology.
Regarding clinical data, we compared acute infections (10 cases) versus chronic/delayed infections (9 cases). Fisher's exact test revealed no significant differences when the presence of polyclonality between acute and chronic/delayed prosthetic infections was compared. Likewise, although no significant differences were found when comparing S. aureus and S. epidermidis, the sample was too small to get a reliable conclusion from those data.
DISCUSSION
Although the etiology of prosthetic infection is diverse, several studies have shown that the most frequently isolated microorganisms are staphylococci (1–3). S. aureus is a commonly described microorganism in different hospital-acquired infections (16), probably because of its abundance on the skin, as in the case of S. epidermidis (17). Several authors have concluded that the pathogenicity of these microorganisms in implant-related infections lies in their ability to form biofilms (2, 18, 19), as these structures protect the bacteria from the immune system and also make them less susceptible to antibiotics (2, 7, 19–22). We must also not forget other species of staphylococci, such as S. lugdunensis, which is being increasingly recognized as the cause of severe infections (2, 23). The emergence of these organisms may be related to the presence of a gene complex with a similar order and sequence in all of the 3 aforementioned species (20). Other species studied in this work, such as P. aeruginosa, E. cloacae, S. paucimobilis, and K. pneumoniae, have also been reported to cause PJI, although less frequently than staphylococci (2, 24, 25).
The use of low-intensity ultrasound in the infected prosthesis releases the biofilm without destroying the microorganisms, thereby improving the sensitivity of conventional cultures (2, 3, 21, 22). Our study aimed to determine whether several clones of microorganisms can be found in apparently monomicrobial infections. Our hypothesis rests on the “race for the surface” theory (19, 26, 27), as we think that several clones of the same bacteria can contaminate the prosthesis during the surgery and that we may only identify these bacteria through molecular techniques.
Our results support the role of RAPD typing as a useful tool for the detection of genomic polymorphisms (28). In fact, there have been studies of the strain differentiation of S. aureus based on this technique (16, 29). Our results show that 1 case of S. aureus infection was monoclonal but that 8 cases were polyclonal, with a varying number of clones between them. According to Byun et al., (16) the combination of several primers increases the ability to discriminate between strains. Ueta et al. (17) reported the detection of different genetic profiles of S. epidermidis isolated from the conjunctival sac of the same subject. Although the reproducibility of this technique is problematic (30), this problem can be minimized if all strains are processed simultaneously in the same gel, as we have done in our study. Moreover, the use of restrictive criteria to establish monoclonality increases the likelihood that our results closely resemble those obtained with other techniques. In addition, this technique is easy to perform for laboratories with no access to more reliable techniques, such as pulsed-field gel electrophoresis (PFGE) or complete DNA sequencing, which require the use of more specialized installations.
Nowadays, MALDI-TOF is one of the most highly valued methodologies in bacterial identification (3, 31–33). Unlike RAPD, it is based on the analysis of bacterial proteins. This is probably the main cause of the absence of monoclonal cases in our study. Protein synthesis can be quite variable from one organism to another since this process is affected by factors such as the availability of mRNA (pretranslational level) or reading effectiveness (translational level). There are also numerous inhibitors of the process of protein biosynthesis, which act by blocking events in the initiation and elongation stages. All of this increases the possibility of detecting differences between strains of the same microorganism.
Although MALDI-TOF mass spectrometry can be used as a reliable technique in the bacterial identification at the species level (34), it is not yet clear whether this method makes it possible to differentiate at the strain level (33). Some authors have stated that the discriminatory power of MALDI-TOF to distinguish different clones of S. aureus and Enterococcus faecium is insufficient compared with that of a molecular technique such as multilocus sequence typing (MLST) (34). According to these authors, it is highly unlikely that a single marker peak (the difference between 2 strains) has sufficient discriminatory power to allow the formation of clusters and may be unreliable for the identification of clonal lineages (34). These authors support their claim by explaining that MALDI-TOF only detects a bacterial subproteome in a limited range of masses and that only a selected number of proteins are ionized, which reduces the number of signals available for strain characterization. Another report supports the ability of MALDI-TOF for subtyping (35). In the study, 158 isolates of staphylococci were characterized by MALDI-TOF using specific software, ensuring 100% accuracy at the genus and species levels and thus showing a great potential for discrimination between strains. In fact, this methodology has been used to differentiate between strains of E. coli (36, 37). This approach and particularly the dendrogram analysis may be improved if common spectral peaks or biomarkers are omitted (38).
In our study, the results of MALDI-TOF analysis show clear identification at the genus and species levels but do not allow for a common approach to be established to discriminate between strains, although the resulting dendrograms reveal clear differences in the clones studied. Again, the small number of cases studied and the lack of specific software to establish the clonality of isolates are important limitation of this study. Therefore, it is necessary to conduct more studies with this technique using a greater number of cases in order to homogenize the criteria for identification and identity between strains compared with those of other widely accepted molecular techniques.
The main limitation of our report is our selection of techniques. RAPD has been claimed as a technique with low reproducibility, but we have the experience that, if strict conditions and criteria are followed, the obtained results can be considered useful for discrimination purposes (39–41). This technique also has the advantage of being easy to perform without complex equipment, such as that needed for other reference techniques like PFGE or complete-genome sequencing, so it can be performed in medium-size laboratories like ours. Regarding the MALDI-TOF methodology, as recently reviewed (42), this technique lacks the proper definition of criteria for the interpretation of the results, and this limitation must be considered carefully in this research. Because of these limitations, further studies are needed to confirm or deny the results obtained by our study.
In conclusion, the RAPD technique revealed 16 cases of polyclonality among 19 cases of monomicrobial PJI. The MALDI-TOF methodology showed an even higher percentage, with all cases being polyclonal. When performing statistical analysis, no significant differences in the appearance of polyclonality were found when comparing acute and chronic prosthetic infections. No correspondence was detected between the two techniques. Further studies are needed to confirm these results and to establish the actual role of this phenomenon in patient outcomes.
ACKNOWLEDGMENTS
This work was supported by a grant from the Spanish MINECO (no. MAT2013-48224-C2-2-R).
We acknowledge the members of the Bone and Joint Infection Unit from the Fundacion Jimenez Diaz University Hospital for their help in analyzing patients' clinical records. We want to acknowledge Oliver Shaw for review of the English language in the manuscript.
J.E. received travel grants from Pfizer, Leti, and bioMérieux and research grants from Pfizer and Wyeth.
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