In this study, we aimed to contrast the bacteriologic epidemiology of osteoarticular infections (OAIs) between 2 patient groups in successive 10-year periods, before and after the extensive use of nucleic acid amplification assays in the diagnostic process.
Epidemiologic data and bacteriologic etiologies of all children presenting with OAIs on admission to our institution over 20 years (1997–2016) were assessed retrospectively. The population was divided into 2 cohorts, using the standardized use of polymerase chain reaction as the cutoff point (2007). The conventional cohort included children with OAIs mainly investigated by using classic cultures, whereas the molecular cohort referred to patients also investigated by using molecular assays.
Kingella kingae was the most frequently isolated pathogen, responsible for 51% of OAIs, whereas other classic pathogens were responsible for 39.7% of cases in the molecular cohort. A statistically significant increase in the mean incidence of OAIs was observed, as was a decrease in the mean age at diagnosis after 2007. After 2007, the pathogen remained unidentified in 21.6% of OAIs in our pediatric population.
Extensive use of nucleic acid amplification assays improved the detection of fastidious pathogens and has increased the observed incidence of OAI, especially in children aged between 6 and 48 months. We propose the incorporation of polymerase chain reaction assays into modern diagnostic algorithms for OAIs to better identify the bacteriologic etiology of OAIs.
Staphylococcus aureus is still currently considered the most common cause of osteoarticular infections across all pediatric age groups, accounting for 25% to 90% of all infections.
In this study, we provide further robust evidence that Kingella kingae has become the predominant causative pathogen of osteoarticular infections among the pediatric populations in European countries, especially among children aged between 6 and 48 months old.
Osteoarticular infections (OAIs) are serious, with potentially severe consequences for bone development and function.1 Identification of the causative organism is required to confirm the diagnosis and tailor the antibiotic therapy and thus optimize outcomes.2 Until recently, Staphylococcus aureus was considered the most common microorganism regardless of age.2–9 An understanding of the microbiologic causes of OAIs has evolved significantly in recent years, and the clinical and paraclinical findings of OAIs are currently considered to be closely correlated to children’s ages and the pathogens responsible. Indeed, it is now recognized that the pathogens responsible for pediatric OAIs depend on the child’s age, comorbidities, immune and vaccination statuses, socioeconomic conditions, changes in patterns of immunomodulating diseases, and the emergence of resistant bacteria.2 The BACTEC blood culture system, which enhances the rate of successful cultivation of Kingella kingae,10 and the use of molecular methods11–14 have increased the ability of detection of OAIs. In the current study, therefore, we aimed to assess the changing epidemiology of OAIs (in a single health district over 2 distinct successive periods) by using nucleic acid amplification assays (NAAAs) as the diagnostic test. We particularly looked at incidences, patient ages, types of OAI, and their bacteriologic etiology.
Methods
After approval by the Children’s Hospital Ethics Review Committee (Children Ethics 14-102R), we retrospectively reviewed the medical charts of all the children aged from 0 to 15 years old who had been admitted to our institution between January 1997 and December 2016 for a suspected OAI. Our 111-bed tertiary pediatric hospital serves the city of Geneva and surrounding areas; it is the only facility providing 460 000 local inhabitants with inpatient and specialized medical services for pediatric OAIs. The cantonal population office’s annual statistical charts15 were used for epidemiologic analysis. Two distinct 10-year periods were defined: 1997 to 2006 and 2007 to 2016. January 2007 was chosen as the study’s midpoint because this was the time when our institution began to use large-scale polymerase chain reaction (PCR) assays, especially a real-time PCR assay specific to K kingae.11–14
Children’s risks of bone or joint infection were estimated by using criteria established by Morrey.16,17 The current study included cases of OAI confirmed by positive imaging studies (plain radiography, 99mTC bone scanning, MRI) and pathogen isolation in blood cultures and/or bone and/or joint fluid. Highly probable cases of OAI were analyzed for K kingae by using imaging studies, clinical and laboratory data, and positive PCR assays on oropharyngeal swab specimens. Study exclusion criteria included chronic osteomyelitis or infections subsequent to an open fracture or surgery.
Microbiologic Methods
Blood cultures have been used systematically to isolate the microorganisms responsible for OAI. The blood culture media used in the current study were BACTEC 9000 (before 2009) and the BD BACTEC FX automated blood culture system (as of 2009). Joint fluid or bone aspirate samples were sent to the laboratory for Gram staining, cell count and immediate inoculation onto Columbia blood agar (incubated under anaerobic conditions), Centers for Disease Control anaerobe 5% sheep blood agar (incubated under anaerobic conditions), chocolate agar (incubated in a CO2-enriched atmosphere), and brain–heart broth. These media were incubated for 10 days. Two PCR assays were also used for bacterial identification when standard culture results were negative. Initial aliquots (100–200 µL) were stored at −80°C until processing for DNA extraction. A universal, broad-range amplification of the 16S ribosomal RNA gene was performed using BAK11w, BAK2, and BAK533r primers for the detection of gram-negative bacteria at concentrations of 102CFU per PCR (Eurogentec, Seraing, Belgium). From 2007, our institution also used a real-time PCR assay targeting the K kingae gene’s RTX toxin.11 This assay is designed to detect 2 independent gene targets from the K kingae RTX toxin locus, namely rtxA and rtxB.11 This PCR assay for detecting K kingae was also used to analyze other biological samples, such as synovial fluid, bone or discal biopsy specimens, or even peripheral blood. Since September 2009, our institution has also been conducting oropharyngeal swab PCR for children aged from 6 months to 4 years. It has been demonstrated that this simple technique for detecting K kingae RTX toxin genes in the oropharynx provides strong evidence that this microorganism is responsible for OAI or even stronger evidence that it is not.18–26
Data Analyzed
Two cohorts were defined; the patient populations admitted from 1997 to 2006 and from 2007 to 2016 were labeled conventional and molecular, respectively. Multiple data fields were recorded for each cohort: sex, age at admission, type of OAI, location of infection, and the results of the bacteriologic investigations. Findings were then interpreted for the entire population together and with the consideration of children’s ages. Three patient categories were defined as follows: (1) a young infants group including infants <6 months old because this corresponds with the end of maternally derived immunity, (2) an older infants and toddlers group comprising children from 6 to 48 months old because K kingae is recognized as primarily affecting children of this age, and (3) a juveniles and teenagers group including children older than 4 but younger than 16 years old.
Statistical Analyses
Student t test results are presented as mean (SD), and χ2 test results are presented as n (percentage). Differences between groups were considered to be significant at P < .05. Ten-year periods were used for the comparison of annual incidences.
Results
The study included 369 children, all of whom were admitted for an OAI (212 boys, 157 girls) during the 20 years considered, with ages ranging from 15 days to 15.7 years old. Patients involved were identified from a mean community population of 72 095 (SD 3129) children <16 years old. Thus, the average annual incidence of OAI during the 20 years studied was 25.5 new cases per 100 000 children per year.
Conventional Period (1997–2006)
During this period, 129 children were admitted for an OAI (76 boys, 53 girls), with ages ranging from 21 days to 15.7 years old (mean: 71 ± 57.2 months). Patients were identified from a mean community population of 70 492 (SD 2950) children <16 years old.15 Thus, the average annual incidence of OAI during the first 10 years studied was 18.3 new cases per 100 000 children per year. Four patients (3.1%) were younger than 6 months old, 60 (46.9%) were aged between 6 and 48 months old, and the remaining 65 (50%) were >4 years old. Overall, we recorded 52 cases of acute hematogenous osteomyelitis, 50 cases of septic arthritis, 10 cases of primary spine infections (spondylodiscitis or vertebral osteomyelitis), 9 cases of sacroiliitis, 5 cases of concomitant septic arthritis with osteomyelitis, 1 case of dactylitis with septic tenosynovitis, and 1 case of pyomyositis.
Pathogens were recovered from blood cultures in 27 (26.2%) of the 103 examinations performed. Standard isolation methods identified pathogens in 68 (59.1%) of the 115 bone biopsy specimen, joint fluid, or disk sample examinations conducted. The detection and identification of 2 additional cases of OAI due to Borrelia burgdorferi were made possible by using joint fluid serology. Identification of the microorganism was possible in 76 cases (59.4%), although in 13 cases, no bone biopsy, joint arthrocentesis, or disk aspiration biopsy was performed. The most commonly identified causative pathogens of OAI were cocci Gram-positive bacteria (59 cases, 45.7%), that is, methicillin-sensitive S aureus (42 cases, 57.9%), Streptococcus pyogenes (11 cases, 14.5%), and Streptococcus pneumoniae (6 cases, 7.9%). Another germ was found in 13.2% of cases, whereas no germ was detected in 50 cases (40.6%) (Table 1). Only 1 infection due to K kingae was recorded during this period.
. | 1997–2006, n = 129 . | 2007–2016, n = 241 . | P . | ES . | 95% CI . |
---|---|---|---|---|---|
Age at diagnosis in mo, mean (SD) | 72.2 (57.4) | 51.0 (53.3) | <.001b | 0.383 | 9.1 to 33.2 |
Mean annual incidence rate (SD) per 100 000 per y | 18.3 (3.6)a | 32.7 (5.4)a | <.001b | 3.317 | −18.7 to −10.0 |
. | 1997–2006, n = 129 . | 2007–2016, n = 241 . | P . | ES . | 95% CI . |
---|---|---|---|---|---|
Age at diagnosis in mo, mean (SD) | 72.2 (57.4) | 51.0 (53.3) | <.001b | 0.383 | 9.1 to 33.2 |
Mean annual incidence rate (SD) per 100 000 per y | 18.3 (3.6)a | 32.7 (5.4)a | <.001b | 3.317 | −18.7 to −10.0 |
Student t tests were used for results presented as mean (SD). Differences between groups were considered significant at P < .05. The effect size (ES) index is also provided. Negative values of the 95% confidence interval (CI) imply inferior annual incidence in the conventional period (1997–2006), comparing to the molecular period (2007–2016).
n = 10 per group (number of years) for annual incidence comparison.
P < .05 significant difference between groups.
Molecular Period (2007–2016)
During this period, 241 children were admitted for an OAI (136 boys, 105 girls), with ages ranging from 15 days to 15.7 years old (mean: 51 ± 53.3 months). Patients were identified from a mean community population of 73 700 children (SD 1320) <16 years old.15 Thus, the average annual incidence of OAI during the second 10 years studied was 32.7 new cases per 100 000 children per year. Thirteen patients were <6 months old, 154 were aged between 6 and 48 months old, and the remaining 74 were >4 years old.
We recorded 89 cases of septic arthritis, 72 cases of acute hematogenous osteomyelitis, 29 cases of concomitant septic arthritis with osteomyelitis, 25 cases of primary subacute infections (osteomyelitis or osteoarthritis), 25 cases of primary spine infections (spondylodiscitis or vertebral osteomyelitis), 6 cases of sacroiliitis, 9 cases of septic tenosynovitis, 2 cases of septic chondritis, and 4 cases of pyomyositis. Three cases involved 2 concomitant lesions (ie, osteomyelitis and pyomyositis, osteomyelitis and tenosynovitis).
Identification of the microorganism was possible in 151 patients (62.7%), either from blood (cultures or PCR) or in operative samples (cultures or PCR), and 31 patients (12.9%) had positive blood culture results and positive operative samples. Pathogens were recovered from blood cultures in 40 (20.8%) of 192 examinations performed. In 11 additional cases, PCR assays were conducted after negative blood culture results, and microorganisms were identified in 8 of them (4.5%, all K kingae). Pathogen identification in bone specimen, joint fluid, or discal biopsy specimens was possible in 60 (30.3%) of the 198 standard isolation experiments performed and in 83 additional cases when using PCR assays.
In 40 cases (16.6%), a bone aspirate or biopsy, joint arthrocentesis, or a disc aspiration biopsy was not performed. Of these, 25 cases were considered highly likely to be K kingae infections because the patients were aged from 6 to 48 months old and presented positive osteoarticular symptomatology and positive oropharyngeal swab PCR. The most commonly identified causative pathogens of OAI were K kingae (77 cases, 32%), far ahead of methicillin-sensitive S aureus (50 cases, 20.7%), S pyogenes (8 cases, 3.2%), and S pneumoniae (2 cases, 0.8%). Other microorganisms were found in 21 cases (8.7%), whereas no microorganism could be identified in 52 cases (21.5%) (Table 2). When only considering the results of the 151 bacteriologically confirmed cases, K kingae was responsible for 51% of OAIs, and pyogenic bacteria were responsible for 39.7% of cases.
Bacterial OAI . | Conventional, 1997–2006 . | Molecular, 2007–2016 . | Between-Period Comparison . | ||
---|---|---|---|---|---|
P . | ES . | 95% CI . | |||
0−6 mo | n = 13 | n = 4 | |||
Annual incidence rate, mean (SD) | 9.7 (17.1)b | 30.0 (26.8)b | .0617 | 0.951 | −41.6 to 1.1 |
No. cases, germs, n (%) | |||||
K kingae | 0 (0) | 1 (9) | >.999 | <0.001 | −30% to 14% |
Suspected K kingae | 0 (0) | 0 (0) | >.999 | <0.001 | — |
Pyogenic bacteriaa | 2 (50) | 5 (38) | >.999 | <0.001 | −56% to 79% |
Others | 1 (25) | 5 (38) | >.999 | <0.001 | −77% to 50% |
No pathogen | 1 (25) | 2 (15) | >.999 | <0.001 | −47% to 66% |
6–48 mo | n = 60 | n = 154 | |||
Annual incidence rate, mean (SD) | 31.5 (13.7)b | 77.2 (14.0)b | <.001c | 3.489 | −58.7 to −32.7 |
No. cases, germs, n (%) | |||||
K kingae | 1 (2) | 79 (51) | <.001c | 5.636 | −59% to −40% |
Suspected K kingae | 0 (0) | 25 (16) | .002c | 1.240 | −23% to −9% |
Pyogenic bacteriaa | 16 (27) | 6 (4) | <.001c | 2.734 | 10% to 35% |
Others | 10 (16) | 6 (4) | .004c | 1.047 | 2% to 23% |
No pathogen | 33 (55) | 38 (25) | <.001c | 2.248 | 16% to 46% |
>4 y | n = 65 | n = 74 | |||
Annual incidence rate, mean (SD) | 13.8 (4.0)b | 15.0 (4.8)b | .549 | 0.289 | −5.3 to 2.9 |
No. cases, germs, n (%) | |||||
K kingae | 0 (0) | 3 (4) | .291 | 0.138 | −1% to 2% |
Suspected K kingae | 0 (0) | 0 (0) | >.999 | <0.001 | — |
Pyogenic bacteriaa | 41 (63) | 49 (66) | .845 | 0.005 | −21% to 14% |
Others | 8 (12) | 10 (14) | >.999 | <0.001 | −14% to 11% |
No pathogen | 16 (25) | 12 (16) | .219 | 0.188 | −5% to 25% |
Age groups, mean (SD) | |||||
0–6 mo | 9.7 (17.1)b | 30.0 (26.8)b | .0617 | 0.951 | −41.6 to 1.1 |
6–48 mo | 31.5 (13.7)b | 77.2 (14.0)b | <.001c | 3.489 | −58.7 to −32.7 |
>4 y | 13.8 (4.0)b | 15.0 (4.8)b | .549 | 0.289 | −5.3 to 2.9 |
Bacterial OAI . | Conventional, 1997–2006 . | Molecular, 2007–2016 . | Between-Period Comparison . | ||
---|---|---|---|---|---|
P . | ES . | 95% CI . | |||
0−6 mo | n = 13 | n = 4 | |||
Annual incidence rate, mean (SD) | 9.7 (17.1)b | 30.0 (26.8)b | .0617 | 0.951 | −41.6 to 1.1 |
No. cases, germs, n (%) | |||||
K kingae | 0 (0) | 1 (9) | >.999 | <0.001 | −30% to 14% |
Suspected K kingae | 0 (0) | 0 (0) | >.999 | <0.001 | — |
Pyogenic bacteriaa | 2 (50) | 5 (38) | >.999 | <0.001 | −56% to 79% |
Others | 1 (25) | 5 (38) | >.999 | <0.001 | −77% to 50% |
No pathogen | 1 (25) | 2 (15) | >.999 | <0.001 | −47% to 66% |
6–48 mo | n = 60 | n = 154 | |||
Annual incidence rate, mean (SD) | 31.5 (13.7)b | 77.2 (14.0)b | <.001c | 3.489 | −58.7 to −32.7 |
No. cases, germs, n (%) | |||||
K kingae | 1 (2) | 79 (51) | <.001c | 5.636 | −59% to −40% |
Suspected K kingae | 0 (0) | 25 (16) | .002c | 1.240 | −23% to −9% |
Pyogenic bacteriaa | 16 (27) | 6 (4) | <.001c | 2.734 | 10% to 35% |
Others | 10 (16) | 6 (4) | .004c | 1.047 | 2% to 23% |
No pathogen | 33 (55) | 38 (25) | <.001c | 2.248 | 16% to 46% |
>4 y | n = 65 | n = 74 | |||
Annual incidence rate, mean (SD) | 13.8 (4.0)b | 15.0 (4.8)b | .549 | 0.289 | −5.3 to 2.9 |
No. cases, germs, n (%) | |||||
K kingae | 0 (0) | 3 (4) | .291 | 0.138 | −1% to 2% |
Suspected K kingae | 0 (0) | 0 (0) | >.999 | <0.001 | — |
Pyogenic bacteriaa | 41 (63) | 49 (66) | .845 | 0.005 | −21% to 14% |
Others | 8 (12) | 10 (14) | >.999 | <0.001 | −14% to 11% |
No pathogen | 16 (25) | 12 (16) | .219 | 0.188 | −5% to 25% |
Age groups, mean (SD) | |||||
0–6 mo | 9.7 (17.1)b | 30.0 (26.8)b | .0617 | 0.951 | −41.6 to 1.1 |
6–48 mo | 31.5 (13.7)b | 77.2 (14.0)b | <.001c | 3.489 | −58.7 to −32.7 |
>4 y | 13.8 (4.0)b | 15.0 (4.8)b | .549 | 0.289 | −5.3 to 2.9 |
Student t tests were used when results are presented as mean (SD), and χ2 tests were used when they are presented as n (%). Differences between groups were considered significant at P < .05. The effect size (ES) index is also provided. CI, confidence interval; —, not applicable.
Pyogenic bacteria: S aureus, Streptococcus agalactiae, S pneumoniae, S pyogenes.
n = 10 per group (number of years) for annual incidence comparison.
P < .05 significant difference between groups
Discussion
Since the 2000s, the increasing use of NAAAs in the diagnostic process for OAI significantly raised the ability of detection of fastidious pathogens and has changed contemporary bacteriologic epidemiology and the incidence of pediatric OAI. The current study revealed a statistically significant 79% rise in the mean annual incidence of OAIs when we compared molecular versus conventional groups (Table 1). In recent literature, researchers have estimated incidences of OAI at <15 per 100 000 population (incidences of osteomyelitis26–30 ranging from 1 to 13 and joint infections28 from 1 to 4 per 100 000 population). However, the current study’s reported incidence of 32.7 cases per 100 000 children per year seems, instead, to confirm the conclusions of earlier studies in which researchers had reported significant increases in OAI rates.23–25,31
Analyzing the results by age group showed that the older infants and toddlers group was responsible for most of the statistically significant increase in the mean annual incidence; 2.4 times more cases were observed in the molecular decade than in the conventional decade group (Table 1). As shown in Table 2, a great increase was also observed for the young infants group between the 2 decades, but it was not statistically significant. On the other hand, as for juveniles and teenagers, the annual incidence remained almost unchanged during the conventional and molecular periods. The differences in the incidence of OAI between these 3 age groups can be explained by the distinct immune status of such age group. In young infants, defense against invasive infection is provided by vertically acquired immunity. Longitudinal investigations have shown low immunoglobulin G levels for 6-month-old children until their age of 18 months. Later on, immunoglobulin G levels are rising because of actively acquired immunity. Immunoglobulin A antibodies (found in breast milk and transferred to the infant’s gut) are almost undetectable at 2 months and then slowly increase from 4 to 7 months old, provided that the child is breastfed. Thus, this relatively deficient immunologic coverage exposes children aged 6 to 48 months to invasive infections, such as OAIs. Furthermore, they risk greater exposure because of viral respiratory infections from social contacts, and these may damage upper respiratory surfaces and facilitate bloodstream invasions by the pathogens subsequently responsible for OAIs.
In the current study, K kingae was responsible for 51% of confirmed OAIs in Geneva’s pediatric population, with the older infants and toddlers subgroup being responsible for that pathogen’s overall predominance (P < .001).
This provides evidence that K kingae may have become the dominant pathogen of OAIs in pediatric populations in other European countries, as well. To the best of our knowledge, only 1 other study, albeit with a shorter, 2-year follow-up, has presented K kingae as the leading cause of OAIs in children of all ages.32 The number of cases of OAI associated with K kingae has increased markedly since the 1980s, and most current studies seem to demonstrate that K kingae is the major bacterial cause of OAIs in children from 6 to 48 months old (30%–93.8% of all culture-positive OAIs).4,8,13–18 K kingae OAIs are characterized by mild-to-moderate clinical and biological inflammatory responses,33 which may explain why 20% to 70% of OAIs had negative results from culture tests before the use of PCR assays, despite the collection of blood, joint fluid, and bone for standard cultures.1,34 Hence, the revealed modifications in microbial epidemiology of OAIs in the pediatric Geneva population can be attributed to the spreading use of molecular diagnostic methods.11
The current study’s results do not corroborate those of previous publications, however, which still define S aureus as the most common cause of OAIs in pediatric age groups, accounting for 25% to 90% of all OAIs.5,24,27,33,35–37 No confirmed Methicillin-resistant Staphylococcus aureus (MRSA) OAIs were observed in the current study, which is in accordance with other European epidemiologic studies.33 Since 2000, OAIs caused by MRSA have become an increasingly common problem, especially in the United States, where community-acquired (CA) MRSA has been reported to be the causative agent of 30% of pediatric OAIs.34,38 The authors of a 10-year study conducted from 2001 to 2010 noted that 52% of the S aureus isolates from children with CA osteomyelitis were MRSA.39 However, we do not consider that the emergence of CA MRSA can explain the difference in the bacteriologic epidemiology of OAIs noted between these studies and ours. Most of these studies did not use PCR assays, and there were many cases with unidentified pathogens, ranging from 44% to 55%.2,38,40 Thus, one could assume that many cases without an identifiable microorganism were OAIs attributable to K kingae. Finally, because of the incidence of MRSA infections in the United States, we can hypothesize that K kingae may be less predominant there than in Europe.
Nevertheless, the fact that no microorganisms were detected in 21.6% (52 out of 241) of the molecular period’s OAIs remains a problem, despite the broad use of NAAAs for this group; most of those cases (38 out of 52) were in the 6 to 48 months age group. One possible explanation could be the lack of sensitivity of the real-time PCR assay used in the current study because it targeted the RTX locus. El Houmami et al recently reported the design of a novel real-time PCR assay targeting K kingae’s malate dehydrogenase (mdh) enzyme; this was developed with no nucleotide mismatches between DNA sequences of primers and probes and with 18 variants of the K kingae mdh gene. Their new, highly sensitive and highly specific real-time PCR assay targeting K kingae’s mdh gene detected 7 new OAIs caused by K kingae that had previously been found negative using a specific real-time PCR test targeting its groEL gene and the RTX locus of K kingae.41 Moreover, part of the 21.6% of cases of suspected OAIs may have been caused by unidentified pathogens for which no specific probe is currently available. The newly described species, Kingella nevegensis, is particularly interesting.42–44 Closely related to K kingae, it has been isolated in both Israel and Switzerland from the oropharynxes of healthy children and seems to validate the hypothesis that part of the suspected OAI may have been caused by pathogens for which no specific probe was available.42,43 K negevensis’ DNA was also detected in an infant’s hip joint fluid, indicating that this pathogen may also now be considered as responsible for OAIs in young infants.44–46
Furthermore, although a rare occurrence in pediatric patients, some OAIs diagnosed as septic arthritis or septic osteomyelitis may have been the early manifestations of rheumatoid disease or related conditions or may even have been caused by viral pathogens.
The current study has the limitations of being retrospective and including children from a single medical center. As stated above, in Europe, OAIs resulting from CA MRSA remain relatively uncommon, confirming the different bacteriologic epidemiology of OAIs between countries. Our current findings may be neither generalizable nor applicable to other populations. They do reveal an interesting observation in our tertiary institution, and we recommend that further investigations use worldwide prospective studies to confirm whether K kingae is the current main pathogen for OAIs in pediatric populations. Additionally, other fastidious microorganisms involved in OAIs have yet to be recognized as pathogens, and further efforts should be made to develop new techniques to identify them, focusing on the age group from 6 to 48 months old because most OAIs of unknown etiology appear in this age group.
Dr Samara contributed to study conception and design, collected data, conducted statistical analyses, and drafted the initial manuscript; Drs Spyropoulou and Juchler collected data and reviewed and critically revised the manuscript; Dr Tabard-Fougère contributed to the design of the study, conducted statistical analyses, and reviewed and critically revised the manuscript; Drs Merlini and Dhouib analyzed and interpreted the radiologic investigations and critically reviewed the manuscript; Drs Valaikaite, Manzano, and Dayer contributed substantially to the study design and reviewed and revised the manuscript; Dr Ceroni conceived and designed the study, collected data, conducted statistical analyses, and drafted the initial manuscript; and all authors approved the final manuscript as submitted and agreed to be accountable for all aspects of the work, ensuring that questions related to the accuracy or integrity of any part of the work were appropriately investigated and resolved.
FUNDING: No external funding.
References
Competing Interests
POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.
FINANCIAL DISCLOSURE: The authors have indicated they have no financial relationships relevant to this article to disclose.
Comments
RE: Kingella kingae, Kingella negevensis, and the Microbiology of Pediatric Osreoarthritis
Dear Editor:
I read with great interest the study by Samara et al. in which the microbiology of skeletal system infections in the pediatric population of the Geneva area was retrospectively determined [1]. Between 1997 and 2007, conventional cultures and PCR-based amplification of the broad-spectrum 16S rRNA gene were employed, whereas in the 2007 and 2016 period, a real-time PCR assay targeting the Kingella kingae rtx operon that encodes the hemolytic RTX toxin, was also used. The study results clearly demonstrated that when sensitive K. kingae-specific nucleic acid amplification tests are routinely employed, the organism is identified in the majority of joint, bone and intervertebral joint infections in the 6-48 month-old age group, far ahead of the Gram-positive bacteria that have been traditionally considered the prime agents of these diseases.
Remarkably, despite the extensive use of molecular methods and improved culture techniques, one-fifth of all cases remained bacteriologically unconfirmed [1]. This finding suggests that the list of recognized skeletal system pathogens is incomplete, and a substantial fraction of cases may be caused by fastidious organisms that cannot be recovered by the present culture methods or detected by insensitive universal primers, and for which no species-specific DNA probes are currently available. The authors suggest the possibility that the recently described Kingella negevensis bacterium could be one of these elusive etiologies [1]. Similar to K. kingae, this novel species inhabits the oropharynx, it has been detected in a child with a hip joint infection, and has been isolated in association with bacterial vaginosis [2, 3]. It shouls be pointed-out that K. negevensis elaborates the same RTX toxin than K. kingae and shares an identical rtx operon [2, 3] and, thus, it should have been readily detected by the molecular test employed by Samara et al. and, probably, misidentified as K. kingae [4, 5]. Additional research should be conducted to establish clinical significance of K. negevensis and to reveal still unrecognized skeletal system pathogens to further reduce the proportion of culture-negative infections and improve the management of pediatric osteoarthritis.
References
1. Samara E, Spiropoulou V, Tabard-Fougère, et al. Kingella kingae and osteoarticular infections. Pediatrics. 2019;144(6):e20191509.
2. El Houmami N, Bakour S, Bzdrenga J, et al. Isolation and characterization of Kingella negevensis sp. nov., a novel Kingella species detected in a healthy paediatric population. Int J Syst Evol Microbiol. 2017;67(7):2370-2376.
3. Opota O, Laurent S, Pillonel T, et al. Genomics of the new species Kingella negevensis: diagnostic issues and identification of a locus encoding a RTX toxin. Microbes Infect. 2017;19(11):546-552.
4. El Houmami N, Bzdrenga J, Durand GA, et al. Molecular tests that target the RTX locus do not distinguish between Kingella kingae and the recently described Kingella negevensis species. J Clin Microbiol. 2017;55(10):3113-3122.
5. Yagupsky P. Detection of respiratory colonization by Kingella kingae and the novel Kingella negevensis species in children: uses and methodology. J Clin Microbiol. 2018; 56(10):e00633-18.
Sincerely,
Pablo Yagupsky, M.D., Clinical Microbiology Laboratory, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel 84101. Phone number: (972) 506264359. Fax number: (972) 86403541. e-mail: [email protected]