Osteoarticular
infections OA
The DendrisKIT OA allows the detection of 22 bacteria responsible for deep and osteoarticular infections, as well as the mecA resistance gene.
CE IVD marking in May 2022
DendrisKIT OA
Osteoarticular infections
- Corynebacterium spp.
- Cutibacterium acnes
- Enterobacteriaceae
- Escherichia coli
- Klebsiella pneumoniae
- Proteus mirabillis
- Enterococcus faecalis
- Kingella kingae
- Mycobacterium tuberculosis
- Mycoplasma spp.
- Mycoplasma genitalium
- Mycoplasma pneumoniae
- Neisseria spp.
- Neisseria gonorrhoeae
- Pseudomonas aeruginosa
- Serratia marcescens
- Staphylococcus spp.
- Staphylococcus aureus
- Staphylococcus epidermidis
- Streptococcus spp.
- Streptococcus agalactiae
- Streptococcus pneumoniae
- mecA resistance gene
An osteoarticular infection is an infection caused by bacteria, much more rarely by fungi, which affects a bone, a joint or a joint prosthesis. These are serious pathologies likely to cause very serious disability and sometimes be life-threatening.
Osteoarticular infection requires broad-spectrum probabilistic antibiotic therapy due to the multitude of bacteria that can be involved in the pathology. The sooner the treatment occurs, the less burdensome it will be and the less likely the infection will be complex. Diagnosis should be as early as possible. The future of bacteriological management of AOI will involve the implementation of technologies to quickly identify the responsible bacteria and screen for antibiotic resistance mechanisms.
Dendris with its molecular biology kit, based on DNA biochip technology, provides results in approximately 5 hours, to cover the 22 bacteria mainly responsible for deep and osteoarticular infections as well as resistance to the MecA gene.
The kit includes:
– all the reagents and consumables necessary for carrying out the 16S complex multiplex PCR/specific genes and the hybridization
Key features | Benefits | |
Simultaneous detection of 23 targets | Large panel in a single test including a resistance gene | Time saving |
Results interpreted at D0 | Faster diagnosis than conventional methods | To improve patient care |
Automated process | Hybridization on automated platform | Robust analysis, security and productivity |
Easy to interpret | Results rendering software using machine learning (AI) methods | No expertise required |
High speed | 64 tests per run from primary sample | Adapted to technical platforms |
Validated | Passing of NEG and POS controls for each series | Secure rendering of results |
CE marking results
Osteoarticular infections
Number of samples mark
772 samples
Types of samples mark
All types of human samples used in osteoarticular bacteriology
– Joint fluids
– Pre-operative tissues
– Surgical samples: bone samples (bone biopsy, bone fragment, etc.), reaming products, equipment, cement.
Performance
Pathogens | Sens. (%) | Spe. (%) | VPN (%) | VPP (%) |
Cutibacterium acnes | 93,8 | 98,9 | 99,4 | 88,2 |
Corynebacterium spp. | 83,7 | 99,2 | 89,9 | 87,2 |
Enterobacteriaceae | 96,2 | 97,8 | 99,2 | 90,1 |
Escherichia coli | 80,0 | 99,3 | 99,2 | 82,8 |
Klebsiella pneumoniae | 84,4 | 99,2 | 99,3 | 81,8 |
Proteus mirabilis | 100 | 99,7 | 100 | 88,2 |
Enterococcus faecalis | 100 | 100 | 100 | 97,6 |
Kingella kingae | 84,2 | 99,6 | 99,6 | 84,2 |
Mycobacterium tuberculosis | 100 | 100 | 100 | 97,4 |
Mycoplasma spp. | 84,1 | 100 | 99,0 | 97,4 |
Mycoplasma genitalium | 96,9 | 99,5 | 100 | 88,6 |
Mycoplasma pneumoniae | 61,5 | 100 | 99,3 | 88,9 |
Neisseria spp. | 88,9 | 99,3 | 99,3 | 88,9 |
Neisseria gonorrhoeae | 66,7 | 99,3 | 98,9 | 76,2 |
Psedomonas aeruginosa | 94,6 | 95,0 | 99,6 | 94,6 |
Staphylococcus spp. | 96,8 | 97,8 | 98,4 | 90,3 |
Staphylococcus aureus | 93,2 | 99,3 | 98,4 | 90,7 |
Staphylococcus epidermidis | 76,2 | 100 | 98,6 | 86,5 |
Serratia marcescens | 71,4 | 98,4 | 99,7 | 100 |
Streptococcus spp. | 90,8 | 99,6 | 98,8 | 87,8 |
Streptococcus agalactiae | 96,9 | 99,6 | 100 | 91,2 |
Streptococcus pneumoniae | 96,3 | 99,6 | 100 | 89,7 |
Resistance mecA | 93,8 | 99,7 | 100 | 88,2 |