Bone infection is managed daily in orthopaedic trauma and joint reconstruction, yet clinicians often rely on incomplete or incompatible outcome data. This fragmentation complicates interpretation of prognosis, resource use, and long-term risk.
Summary
Outcome reporting for bone infection remains heterogeneous across registries, cohorts, and audits.
Long-term mortality after infection-related revision remains high but is poorly captured.
Incidence and burden estimates vary widely due to uneven definitions and follow-up.
Economic and quality-of-life consequences are substantial and frequently underestimated.
Why this matters
Fracture-related infection and periprosthetic joint infection are associated with prolonged treatment, repeated surgery, and significant morbidity. Despite this, long-term outcomes are rarely measured in a consistent way. In one large national registry, revision for infection after knee arthroplasty was associated with 16 percent mortality at five years and 53 percent at fifteen years, corresponding to a 33 percent excess mortality compared with the general population reflecting both infection and underlying comorbidity (Kristensen, 2025). Without aligned reporting structures, such findings remain difficult to contextualise across fracture care, arthroplasty, and health systems.
What the evidence shows
Long-term survival is incompletely documented
Most studies of bone infection focus on short-term eradication or reoperation rates. Long-term survival and functional outcomes are rarely captured outside a small number of national registries. Where available, these data indicate sustained excess mortality following infection-related revision surgery (Kristensen, 2025).
Incidence estimates vary substantially across settings
Reported infection rates range from 1–2 percent in closed fractures to up to 30 percent in severe open tibial fractures. Modelled lobal estimates suggest approximately 1.8 million infections annually, but these figures are largely extrapolated from heterogeneous datasets rather than uniformly collected system-level data (Metsemakers, 2024).
Resource constraints distort global estimates
In low- and middle-income settings, limited access to microbiology, imaging, and follow-up reduces diagnostic certainty and outcome tracking. This leads to under-recognition of infection and selective reporting of severe cases, skewing both incidence and outcome data (Tissingh, 2022).
Economic burden exceeds routine estimates
In high-income health systems, infection after fracture fixation or joint replacement increases direct healthcare costs up to eightfold, with reported per-case costs frequently exceeding USD 50,000. Productivity losses and indirect costs can approach USD 90,000, yet these are rarely incorporated into routine outcome reporting (Flores, 2024).
Quality-of-life impact is substantial
Health utility scores after bone infection typically fall to approximately 0.6 on EQ-5D scales where 1.0 represents perfect health. Many patients do not regain pre-injury function, even when infection is considered clinically controlled (Jensen, 2025).
Structured reporting has been demonstrated in specific registry initiatives
Targeted registry initiatives have demonstrated that infection rates of 3–4 percent overall and up to 30 percent in severe open fractures can be reliably tracked when definitions, follow-up intervals, and data fields are aligned (Morgenstern, 2024).
Mechanisms behind the pattern
Inconsistent definitions
Variation in infection definitions, success criteria, and follow-up duration leads to non-comparable outcome curves. Small differences in classification can substantially alter reported incidence and survival estimates.
Disconnected data pathways
Implant registries, fracture registries, local audits, and cohort studies often operate in parallel without linkage. Late infection, delayed union, and long-term functional decline frequently fall outside any single dataset.
Uneven diagnostic capacity
Differences in access to microbiology, imaging, and longitudinal follow-up limit confirmation of infection and outcome measurement, particularly outside high-resource centres. This contributes to systematic under-reporting.
Practical implications for clinical decision-making
Published infection rates should be interpreted in light of the data sources and definitions used.
Long-term mortality and functional outcomes may be underestimated in routine reports.
Fragmented datasets limit comparison between fracture-related infection and periprosthetic joint infection.
Economic and quality-of-life data can support more realistic discussions on resource allocation.
Structured outcome reporting is achievable but requires alignment across existing systems.
Common pitfalls
Assuming reported infection rates reflect complete system data. Many derive from selected centres.
Expecting early follow-up to capture most adverse outcomes. Late infection and decline are common.
Treating registry data as comprehensive. Key outcomes such as return to work are often missing.
Interpreting global incidence figures as precise rather than estimated.
Closing note
Bone infection outcomes remain difficult to interpret not because evidence is absent, but because it is fragmented. Greater alignment in definitions, follow-up, and reporting structures would improve prognostic clarity and support more sustainable system planning.
References
Kristensen NK et al. Fifteen-year mortality following periprosthetic joint infection in total knee arthroplasty. J Bone Joint Surg Am. 2025.
Metsemakers WJ et al. Global burden of fracture-related infection. Lancet Infect Dis. 2024.
Tissingh EK et al. Management of fracture-related infection in low-resource settings. EFORT Open Rev. 2022.
Flores S et al. Economic impact of infection and non-union after long-bone fractures. OTA Int. 2024.
Jensen LK et al. Cross-disciplinarity in bone and joint infection science. J Bone Joint Infect. 2025.
Morgenstern M. AO Research Institute Orals. 2024.