The Antibiotic Use in Osteomyelitis Infection: A Systematic Review

Introduction: Osteomyelitis is a serious infection of the bone. One of the therapies for osteomyelitis is antibiotic treatment. Antibiotic treatment has evolved substantially, but bone infections are still a challenge. Antimicrobial therapy is also difficult, caused by antibiotic-resistant organisms. Therefore, a systematic review is needed to assess antibiotic use in osteomyelitis infection. Method: Articles were searched using Pubmed with keywords “antibiotics”, “osteomyelitis”, and its combination. The authors used five years publication date and English language to select the appropriate journal. Result: The author identified 13 relevant articles with antibiotics use in osteomyelitis. All of the cases were about chronic osteomyelitis and osteomyelitis in diabetic foot ulcers. Osteomyelitis in other sites of long bones needs longer duration treatment than long bone osteomyelitis. In acute osteomyelitis in children, antibiotic treatment can switch from IV to oral antibiotics. Furthermore, chronic osteomyelitis needs longer treatment to resolve than acute osteomyelitis. Conclusion: Antibiotics still mainstay treatment with surgery for osteomyelitis treatment. With acute, children, and long bone only need shorter treatment than chronic, adult, and non-long bone osteomyelitis.

Mid-term clinical results of chronic cavitary long bone osteomyelitis treatment using S53P4 bioactive glass: a multi-center study

Introduction: Chronic osteomyelitis is a challenging condition in the orthopedic practice and traditionally treated using local and systemic antibiotics in a two-stage surgical procedure. With the introduction of the antimicrobial biomaterial S53P4 bioactive glass (Bonalive®), chronic osteomyelitis can be treated in a one-stage procedure. This study evaluated the mid-term clinical results of patients treated with S53P4 bioactive glass for long bone chronic osteomyelitis. Methods: In this prospective multi-center study, patients from two different university medical centers in the Netherlands were included. One-stage treatment consisted of debridement surgery, implantation of S53P4 bioactive glass, and treatment with culture-based systemic antibiotics. If required, wound closure by a plastic surgeon was performed. The primary outcome was the eradication of infection, and a secondary statistical analysis was performed on probable risk factors for treatment failure. Results: In total, 78 patients with chronic cavitary long bone osteomyelitis were included. Follow-up was at least 12 months (mean 46; standard deviation, SD, 20), and 69 patients were treated in a one-stage procedure. Overall infection eradication was 85 %, and 1-year infection-free survival was 89 %. Primary closure versus local/muscular flap coverage is the only risk factor for treatment failure. Conclusion: With 85 % eradication of infection, S53P4 bioactive glass is an effective biomaterial in the treatment of chronic osteomyelitis in a one-stage procedure. A major risk factor for treatment failure is the necessity for local/free muscle flap coverage. These results confirm earlier published data, and together with the fundamentally different antimicrobial pathways without antibiotic resistance, S53P4 bioactive glass is a recommendable biomaterial for chronic osteomyelitis treatment and might be beneficial over other biomaterials.

Radiological evaluation of postoperative osteomyelitis in long bones: Which is the best tool?

Currently, definitive diagnosis of osteomyelitis involves a combination of clinical signs, symptoms, laboratory tests, imaging modalities and cultures from blood, joint or body fluid. Imaging plays a critical role in the osteomyelitis diagnosis. Each of these tests incurs an additional cost to the patient or healthcare system and their use varies according to the preference of the healthcare professional and the healthcare setup. Imaging plays a critical role in the diagnosis and management of postoperative long bone osteomyelitis, with the aim of reducing long-term complications such as non-union, amputation and pathological fractures. In this review, we discuss the key findings on different radiological modalities and correlate them with disease pathophysiology. Currently, magnetic resonance imaging is the best available imaging modality due to its sensitivity in detecting early signs of long bone osteomyelitis and high soft tissue resolution. Other modalities such as radio-nuclear medicine, computed tomography and ultrasound have been proved to be useful in different clinical scenarios as described in this narrative review.

Can we predict outcome after treatment of long bone osteomyelitis?

Aims This study presents patient-reported quality of life (QoL) over the first year following surgical debridement of long bone osteomyelitis. It assesses the bone involvement, antimicrobial options, coverage of soft tissues, and host status (BACH) classification as a prognostic tool and its ability to stratify cases into ‘uncomplicated’ or ‘complex’. Methods Patients with long-bone osteomyelitis were identified prospectively between June 2010 and October 2015. All patients underwent surgical debridement in a single-staged procedure at a specialist bone infection unit. Self-reported QoL was assessed prospectively using the three-level EuroQol five-dimension questionnaire (EQ-5D-3L) index score and visual analogue scale (EQ-VAS) at five postoperative time-points (baseline, 14 days, 42 days, 120 days, and 365 days). BACH classification was applied retrospectively by two clinicians blinded to outcome. Results In total, 71 patients with long-bone osteomyelitis were included. There was significant improvement from time of surgery to one year postoperatively in mean EQ-VAS (58.2 to 78.9; p < 0.001) and mean EQ-5D-3L index scores (0.284 to 0.740; p < 0.001). At one year following surgery, BACH ‘uncomplicated’ osteomyelitis was associated with better QoL compared to BACH ‘complex’ osteomyelitis (mean EQ-5D-3L 0.900 vs 0.685; p = 0.020; mean EQ-VAS 87.1 vs 73.6; p = 0.043). Patients with uncomplicated bone involvement (BACH type B1, cavitary) reported higher QoL at all time-points when compared to complex bone involvement (B2, segmental or B3, osteomyelitis involving a joint). Patients with good antimicrobial options (Ax or A1) gave higher outcome scores compared to patients with multidrug-resistant isolates (A2). The need for microvascular tissue transfer (C1 and C2) did not impact significantly on QoL. Patients without major comorbidities (uncomplicated, H1) reported higher QoL compared to those with significant disease (complex, H2). Conclusion Uncomplicated osteomyelitis, as defined by BACH, gave higher self-reported QoL when compared to complex cases. The bone involvement, antimicrobial options, and host status variables were able to stratify patients in terms of QoL. These data can be used to offer prognostic information to patients who are undergoing treatment for long bone osteomyelitis. Cite this article: Bone Joint J 2020;102-B(11):1587–1596.

Can we predict outcome after treatment of long bone osteomyelitis?

Aims This study presents patient-reported quality of life (QoL) over the first year following surgical debridement of long bone osteomyelitis. It assesses the bone involvement, antimicrobial options, coverage of soft tissues, and host status (BACH) classification as a prognostic tool and its ability to stratify cases into ‘uncomplicated’ or ‘complex’. Methods Patients with long-bone osteomyelitis were identified prospectively between June 2010 and October 2015. All patients underwent surgical debridement in a single-staged procedure at a specialist bone infection unit. Self-reported QoL was assessed prospectively using the three-level EuroQol five-dimension questionnaire (EQ-5D-3L) index score and visual analogue scale (EQ-VAS) at five postoperative time-points (baseline, 14 days, 42 days, 120 days, and 365 days). BACH classification was applied retrospectively by two clinicians blinded to outcome. Results In total, 71 patients with long-bone osteomyelitis were included. There was significant improvement from time of surgery to one year postoperatively in mean EQ-VAS (58.2 to 78.9; p < 0.001) and mean EQ-5D-3L index scores (0.284 to 0.740; p < 0.001). At one year following surgery, BACH ‘uncomplicated’ osteomyelitis was associated with better QoL compared to BACH ‘complex’ osteomyelitis (mean EQ-5D-3L 0.900 vs 0.685; p = 0.020; mean EQ-VAS 87.1 vs 73.6; p = 0.043). Patients with uncomplicated bone involvement (BACH type B1, cavitary) reported higher QoL at all time-points when compared to complex bone involvement (B2, segmental or B3, osteomyelitis involving a joint). Patients with good antimicrobial options (Ax or A1) gave higher outcome scores compared to patients with multidrug-resistant isolates (A2). The need for microvascular tissue transfer (C1 and C2) did not impact significantly on QoL. Patients without major comorbidities (uncomplicated, H1) reported higher QoL compared to those with significant disease (complex, H2). Conclusion Uncomplicated osteomyelitis, as defined by BACH, gave higher self-reported QoL when compared to complex cases. The bone involvement, antimicrobial options, and host status variables were able to stratify patients in terms of QoL. These data can be used to offer prognostic information to patients who are undergoing treatment for long bone osteomyelitis.

The BACH classification of long bone osteomyelitis

Objectives The aim of this study was to assess the clinical application of, and optimize the variables used in, the BACH classification of long-bone osteomyelitis. Methods A total of 30 clinicians from a variety of specialities classified 20 anonymized cases of long-bone osteomyelitis using BACH. Cases were derived from patients who presented to specialist centres in the United Kingdom between October 2016 and April 2017. Accuracy and Fleiss’ kappa (Fκ) were calculated for each variable. Bone involvement (B-variable) was assessed further by nine clinicians who classified ten additional cases of long bone osteomyelitis using a 3D clinical imaging package. Thresholds for defining multidrug-resistant (MDR) isolates were optimized using results from a further analysis of 253 long bone osteomyelitis cases. Results The B-variable had a classification accuracy of 77.0%, which improved to 95.7% when using a 3D clinical imaging package (p < 0.01). The A-variable demonstrated difficulty in the accuracy of classification for increasingly resistant isolates (A1 (non-resistant), 94.4%; A2 (MDR), 46.7%; A3 (extensively or pan-drug-resistant), 10.0%). Further analysis demonstrated that isolates with four or more resistant test results or less than 80% sensitive susceptibility test results had a 98.1% (95% confidence interval (CI) 96.6 to 99.6) and 98.8% (95% CI 98.1 to 100.0) correlation with MDR status, respectively. The coverage of the soft tissues (C-variable) and the host status (H-variable) both had a substantial agreement between users and a classification accuracy of 92.5% and 91.2%, respectively. Conclusions The BACH classification system can be applied accurately by users with a variety of clinical backgrounds. Accuracy of B-classification was improved using 3D imaging. The use of the A-variable has been optimized based on susceptibility testing results. Cite this article: A. J. Hotchen, M. Dudareva, J. Y. Ferguson, P. Sendi, M. A. McNally. The BACH classification of long bone osteomyelitis. Bone Joint Res 2019;8:459–468. DOI: 10.1302/2046-3758.810.BJR-2019-0050.R1

The Classification of Long Bone Osteomyelitis: A Systemic Review of the Literature

Background: Osteomyelitis is a complex disease. Treatment involves a combination of bone resection, antimicrobials and soft-tissue coverage. There is a difficulty in unifying a classification system for long bone osteomyelitis that is generally accepted.Objectives: In this systematic review, we aim to investigate the classification systems for long bone osteomyelitis that have been presented within the literature. By doing this, we hope to elucidate the important variables that are required when classifying osteomyelitis.Methods: A complete search of the Medline, EMBASE, Cochrane and Ovid databases was undertaken. Following exclusion criteria, 13 classification systems for long-bone osteomyelitis were included for review.Results: The 13 classification systems that were included for review presented seven different variables that were used for classification. Ten of them used only one main variable, two used two variables and one used seven variables. The variables included bone involvement (used in 7 classification systems), acute versus chronic infection (used in 6), aetiopathogenesis (used in 3), host status (used in 3), soft tissue (used in 2), microbiology (used in 1) and location of infected bone (used in 1). The purpose of each classification system could be grouped as either descriptive (3 classification systems), prognostic (4) or for management (4). Two of the 13 classification systems were for both prognostic and management purposes.Conclusions: This systematic review has demonstrated a variety of variables used for classification of long bone osteomyelitis. While some variables are used to guide management and rehabilitation after surgery (e.g., bone defect, soft tissue coverage), others were postulated to provide prognostic information (e.g., host status). Finally, some variables were used for descriptive purposes only (aetiopathogenesis). In our view and from today's perspective, bone involvement, antimicrobial resistance patterns of causative micro-organisms, the need for soft-tissue coverage and host status are important variables to include in a classification system.