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Healthcare resource use and costs related to surgical infections of tibial fractures in a Spanish cohort

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Listed:
  • Mariano Barrés-Carsí
  • Jorge Navarrete-Dualde
  • Javier Quintana Plaza
  • Elena Escalona
  • Christian Muehlendyck
  • Thibaut Galvain
  • José Baeza
  • Antonio Balfagón

Abstract

Surgical site infection constitutes a serious complication in the healing process of bone fractures and has been associated with increases in medical resource use and healthcare costs. This study evaluates the economic impact of surgical site infection in tibial fractures in a Spanish cohort. It is a retrospective, single-centre, comparative cohort study of patients with tibial fractures with longitudinal follow-up for up to 18 months post-surgery. Included patients (n = 325) were adults, with tibial fracture, either isolated or polyfracture, or polytrauma with an Injury Severity Score >15. Patients had been surgically treated within 30 days of the tibial fracture by external or internal fixation, or external followed by internal fixation. Most patients (84.9%) had an American Society of Anaesthesiology score of 1–2. 20% of the patients had one open tibial fracture, 12.3% had polytrauma, and 20% had multiple fractures. Most patients were treated with a nail (41.8%) or a plate (33.8%). 56 patients (17.2%) developed surgical site infection. Patients with infection had significantly higher hospital length of stay (34.9 vs 12.0 days; p

Suggested Citation

  • Mariano Barrés-Carsí & Jorge Navarrete-Dualde & Javier Quintana Plaza & Elena Escalona & Christian Muehlendyck & Thibaut Galvain & José Baeza & Antonio Balfagón, 2022. "Healthcare resource use and costs related to surgical infections of tibial fractures in a Spanish cohort," PLOS ONE, Public Library of Science, vol. 17(11), pages 1-12, November.
    • Handle: RePEc:plo:pone00:0277482
    DOI: 10.1371/journal.pone.0277482
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    References listed on IDEAS

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    1. Amal Malehi & Fatemeh Pourmotahari & Kambiz Angali, 2015. "Statistical models for the analysis of skewed healthcare cost data: a simulation study," Health Economics Review, Springer, vol. 5(1), pages 1-16, December.
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