Susceptibility Testing of Biofilm to Guide Treatment of Periprosthetic Joint Infections
NCT ID: NCT04488458
Last Updated: 2021-08-24
Study Results
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Basic Information
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UNKNOWN
NA
40 participants
INTERVENTIONAL
2021-08-15
2023-12-31
Brief Summary
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The project aims are:
(i) To improve the current diagnostic approaches and treatments of periprosthetic joint infections (PJI) (ii) To investigate the pathogenesis of PJI through the characterization of the virulence carried by the causative pathogens
This multidisciplinary project addresses implant-associated infection and its contribution to increasing antibiotic resistance. Both lead to longer hospital stays, higher medical costs and increased morbidity and mortality. Antibiotic resistance is globally considered as one of the greatest and most urgent risk in medicine. Implant-associated infections are commonly caused by biofilms. Biofilms can be described as 'a community of bacterial cells connected by their secreted extracellular matrix'. Since antibiotics are designed to fight planktonic free-living bacteria, studying antibiotic resistance in biofilm communities poses a paradigm shift. Furthermore, bacteria in biofilms are up to 1000 times more resistant to antibiotics than planktonic bacteria. Mechanisms involved in a biofilm infection also play a crucial role in the development of antibiotic resistance. Hospital-acquired infections are the fourth leading cause of disease and 70% are associated with medical implants and caused by staphylococcal biofilms. In addition, the level of antimicrobial resistance in bacteria causing implant-associated infections has increased worldwide, leaving patients with fewer treatment options.
In this study the investigators will randomize patients with PJI to either standard MIC susceptibility or MIC and MBEC susceptibility guided treatment with oral antibiotic combinations; (i) Non cell wall active standard of care antibiotic combination (MIC-guided) for 6 weeks.
(ii) Or; non cell wall active antibiotic combination according to a MBEC-based decision algorithm for 6 weeks.
In this pilot project, the primary endpoint is how often treatment changes with the MBEC susceptibility testing compared to only MIC-susceptibility testing.
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Detailed Description
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This prospective randomized study aim to compare antibiotic treatment regimens for PJI guided by MIC or MBEC combined with MIC, and how it affects infection resolution, drug tolerability and relapse strain resistance patterns.
The investigors hypothesize that a standardised surgical debridement, antibiotics and implant retention (DAIR) for PJI followed by antibiotic guiding MBEC-diagnostics on deep tissue specimens will increase treatment efficacy and decrease the incidence of infection relapses compared to standard of care.
Following standardised debridement and 14 days of parenteral antibiotics; cloxacillin for methicillin sensitive staphylococci or vancomycin for methicillin resistant staphylococci, patients will be randomized to receive oral antibiotic combinations with either cell wall active standard of care antibiotic combination (MIC-guided) for 6 weeks or non cell wall active antibiotic combination according to a MIC- and MBEC-guided decision algorithm for 6 weeks.
Patients will be included at the Orthopaedic Infection Centre (OIC), Sahlgrenska University Hospital/Mölndal, which is a unit dedicated to optimizing management of orthopaedic infections. Patient consent acquisitions and randomisations (20 patients in each group) will be performed during post-operative hospitalisation. MIC determination and disk diffusion will be performed at the SWEDAC (Swedish Accreditation Body) certified clinical bacteriological laboratory. At the department of Biomaterials (University of Gothenburg), a previously developed clinical diagnostic tool will be employed for the MBEC determination. It consists of the combination of the Calgary Biofilm Device (MBECTM P\&G Assay, Innovotech) and a custom-made susceptibility plate (Substrata department, Sahlgrenska Hospital) with 6 antimicrobial agents commonly used to treat orthopaedic infections.
Inclusion and exclusion criteria are described in section "Eligibility".
The primary and secondary endpoints are described in section "Outcome measures".
Treatment criteria: for all administered antimicrobials staphylococcal strains must be susceptible in disc diffusion tests/MIC, regardless of MBEC-level. Antibiotic combinations will be selected from 5 already recommended non-cell wall active anti-staphylococcal antibiotics with high per-oral bio-availabilities and acceptable bone penetration used in the treatment of PJIs: rifampicin (RIF), fusidic acid (FUS), ciprofloxacin (CIP)/levofloxacin (LEV) and clindamycin (CLI).
Clinical breakpoints are expressed as MIC (EUCAST and CLSI) but are based on more than MIC distributions (epidemiological cut-off) namely:
* Pharmacokinetic and pharmacodynamic analyses of the antibiotic.
* Relation between MIC and probability of cure in clinical trials.
If likely effective according to EUCAST clinical breakpoints, antibiotics are further ranked in the MBEC treatment algorithm by bone penetration/susceptibility range and semi-arbitrarily by clinical efficacy in prosthetic joint infections.
MBEC/MIC cut-off for replacing Rifampicin despite susceptibility according to MIC:
* C-Max (oral dose of 750 mg) 10 mg/L x 0.4 (Bone/Serum) = 4 mg/L
* RIF-MIC clinical breakpoint for staphylococci is 0.5 mg/L.
* Clinical efficacy factor 1.
* MBEC/MIC ≥ 8 times MIC.
MBEC/MIC cut-off for replacing Levofloxacin despite susceptibility according to MIC:
* C-Max (oral dose of 750 mg) 12 mg/L x 0.6 (Bone/Serum) = 7,2 mg/L
* LEV-MIC breakpoint for staphylococci is 1 mg/L
* Clinical efficacy factor 0,75.
* MBEC/MIC ≥ 5 x MIC.
MBEC/MIC cut-off for not choosing Fusidic acid as companion drug:
* C-Max (500 mg) 30 mg/L x 0,2 (Bone/Serum) = 6 mg/L
* FUS-MIC breakpoint for staphylococci is 1 mg/L.
* Clinical efficacy factor 0,5.
* MBEC 3 times the MIC or more if better companion drug.
MBEC/MIC cut-off for not choosing Clindamycin as companion drug:
* C-Max (600 mg) 12 mg/L x 0.3 (Bone/Serum) = 3,6 mg/L
* CLI-MIC breakpoint for staphylococci is 0.5 mg/L
* Clinical efficacy factor 0,5.
* MBEC/MIC 4 x MIC or more if better companion drug.
MBEC/MIC cut-off for not choosing Linezolid (LIN) as sole drug:
* C-Max 21 mg/L x 0.4 (Bone/Serum) = 8,4 mg/L
* LIN-MIC breakpoint for staphylococci is 4 mg/L
* Clinical efficacy factor 0,5.
* MBEC 2 times the MIC or more.
MBEC cut-off for not choosing Sulfamethoxazole (SMX)/Trimethoprim (TMP) as sole drug:
* C-Max (3200/640 mg SMX/TMP) is 145 and 7.5 mg/L resp. x 0.25 (Bone/Serum) = 36 and 1,9 mg/L resp.
* SMX/TMP-MIC breakpoint for staphylococci is 2 mg/L. (By EUCAST expressed as the Trimethoprim konc.)
* Clinical efficacy factor 0,5.
* MBEC \> MIC
* \*Interpret as better than according to justification above.
All follow-up up to one year will be done according to clinical routines.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
NONE
Study Groups
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MBEC and MIC susceptibility testing
For all administered antimicrobials staphylococcal strains must be susceptible in disc diffusion tests/MIC, regardless of MBEC-level. Antibiotic combinations will be selected from 5 already recommended non-cell wall active anti-staphylococcal antibiotics with high per-oral bio-availabilities and acceptable bone penetration used in the treatment of PJIs: rifampicin, fusidic acid, ciprofloxacin/levofloxacin and clindamycin.
MBEC cut-off for replacement with 2nd or 3rd line antibiotic: RIF MBEC/MIC \> 8; LEV MBEC/MIC \> 5; FUS MBEC/MIC \> 3; CLI MBEC/MIC \> 4; LIN MBEC/MIC \> 2; T/S MBEC \> MIC
Second line of treatment:
RIF and Fusidic acid 500 mg TID (ter in die) RIF and Clindamycin 450 - 600 mg TID LEV and Fusidic acid 500 mg TID LEV and Clindamycin 450 mg TID
Third line of treatment:
Linezolid 600 mg BID (bis in die) Sulfamethoxazole/Trimethoprim 800/160 mg TID Clindamycin 450 mg TID and Fusidic acid 500 mg TID
MIC or MBEC+MIC based treatment algorithm
i) Non cell wall active standard of care antibiotic combination (MIC-guided) for 6 weeks.
ii) Non cell wall active antibiotic combination according to a MBEC-based decision algorithm for 6 weeks.
MIC susceptibility testing
If the causative bacterium is susceptible according to MIC diagnostics, the patient will follow the first line of treatment: Rifampicin 750-900 mg/day + Levofloxacin 750 mg BID
MIC or MBEC+MIC based treatment algorithm
i) Non cell wall active standard of care antibiotic combination (MIC-guided) for 6 weeks.
ii) Non cell wall active antibiotic combination according to a MBEC-based decision algorithm for 6 weeks.
Interventions
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MIC or MBEC+MIC based treatment algorithm
i) Non cell wall active standard of care antibiotic combination (MIC-guided) for 6 weeks.
ii) Non cell wall active antibiotic combination according to a MBEC-based decision algorithm for 6 weeks.
Eligibility Criteria
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Inclusion Criteria
* first DAIR
* mono-microbial staphylococcal infection
* 14 days of intravenous treatment with either cloxacillin or vancomycin
* standardized administration of local antibiotics
Exclusion Criteria
* severe drug interactions to MBEC-guided compound
18 Years
ALL
No
Sponsors
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Göteborg University
OTHER
Vastra Gotaland Region
OTHER_GOV
Responsible Party
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Locations
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Ortopedi, Sahlgrenska University Hospital
Mölndal, , Sweden
Countries
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Central Contacts
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Facility Contacts
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References
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Tillander JAN, Rilby K, Svensson Malchau K, Skovbjerg S, Lindberg E, Rolfson O, Trobos M. Treatment of periprosthetic joint infections guided by minimum biofilm eradication concentration (MBEC) in addition to minimum inhibitory concentration (MIC): protocol for a prospective randomised clinical trial. BMJ Open. 2022 Sep 15;12(9):e058168. doi: 10.1136/bmjopen-2021-058168.
Zaborowska M, Tillander J, Branemark R, Hagberg L, Thomsen P, Trobos M. Biofilm formation and antimicrobial susceptibility of staphylococci and enterococci from osteomyelitis associated with percutaneous orthopaedic implants. J Biomed Mater Res B Appl Biomater. 2017 Nov;105(8):2630-2640. doi: 10.1002/jbm.b.33803. Epub 2016 Oct 25.
Other Identifiers
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2020-01471
Identifier Type: -
Identifier Source: org_study_id
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