Cost-effectiveness modelling of early lead extraction for cardiac implantable electronic device infections in the United Kingdom

英国心脏植入式电子设备感染早期导线拔除的成本效益模型

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Abstract

OBJECTIVES: To evaluate the cost-effectiveness of early lead extraction (≤7 days post-admission) compared with delayed (>7 days) or no extraction for cardiac implantable electronic device (CIED) infections in the UK using a decision-analytic model from the NHS perspective. DESIGN: A decision-tree model was constructed to simulate clinical and economic outcomes in adult patients with systemic or pocket CIED infections. SETTING: Secondary care hospital setting within the UK NHS. PARTICIPANTS: A simulated cohort of adult patients with systemic or pocket CIED infections. Model inputs were sourced from published literature and NHS cost data (2023 £). INTERVENTIONS: Early lead extraction (≤7 days after diagnosis/admission) compared with delayed extraction (>7 days) or no extraction. PRIMARY AND SECONDARY OUTCOME MEASURES: Adverse events avoided and total healthcare costs over a 1-year time horizon; deterministic and probabilistic sensitivity analyses were conducted to assess model robustness. RESULTS: Early extraction was both clinically and economically superior to delayed or no extraction. For systemic infections, early extraction reduced costs by £123 056 and avoided 9.0 adverse events per 100 patients, with mortality falling from 20.0 to 7.5 per 100 patients. In pocket infections, early extraction lowered costs by £104 904 and avoided 8.4 adverse events per 100 patients, with mortality decreasing from 12.4 to 0.9 per 100 patients. Sensitivity analyses confirmed the robustness of these findings, with antibiotic failure rates being the most influential parameter. CONCLUSIONS: Early lead extraction for CIED infections is a cost-effective, dominant strategy in the UK, reducing mortality, adverse events and overall costs. These results strongly support guideline recommendations for prompt extraction and highlight the need for improved adherence to evidence-based management of CIED infections.

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