Your browser doesn't support javascript.
loading
Preoperative prediction of tibial nail length using patient body height.
Krishnan, Pranav; Baker, Hayden P; Nwaudo, Darlington; Dillman, Daryl.
Afiliación
  • Krishnan P; University of Chicago Pritzker School of Medicine, Chicago, IL, USA.
  • Baker HP; Department of Orthopaedic Surgery and Rehabilitation Medicine, University of Chicago, Chicago, IL, USA.
  • Nwaudo D; University of Chicago Pritzker School of Medicine, Chicago, IL, USA.
  • Dillman D; Department of Orthopaedic Surgery and Rehabilitation Medicine, University of Chicago, Chicago, IL, USA.
J Orthop ; 31: 121-123, 2022.
Article en En | MEDLINE | ID: mdl-35535233
Purpose: No validated method currently exists to preoperatively estimate tibial nail length for tibial fractures. While various anthropometric measurements have been suggested, none seem to allow for both accuracy and practicality, complicating treatment. This study aimed to evaluate the use of patient body height in preoperatively predicting tibial nail length. Methods: Patients with tibial fractures treated with intramedullary nail at a single level 1 trauma center were included. Patient body height and tibial nail size were used to develop a predictive equation. Results: 220 patients were included and reviewed in this study. A logarithmic predictive equation was developed to accurately predict tibial nail length 82% of the time. Conclusions: Tibial nail length can be accurately predicted from patient body height. Compared to other anthropometric measurements, patient body height can be easily and consistently measured. Additionally, this study involved the largest sample size compared to other anthropometric studies predicting tibial nail length.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Orthop Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Orthop Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos