Reliability of current classification systems for periprosthetic distal femur fractures.


Journal

Injury
ISSN: 1879-0267
Titre abrégé: Injury
Pays: Netherlands
ID NLM: 0226040

Informations de publication

Date de publication:
Oct 2022
Historique:
received: 06 03 2022
revised: 29 07 2022
accepted: 01 08 2022
pubmed: 11 8 2022
medline: 28 9 2022
entrez: 10 8 2022
Statut: ppublish

Résumé

This study aims to determine which Periprosthetic Distal Femur Fracture (PDFF) classification system is the most reliable. The secondary aim was to determine which classification system correlated most accurately with the surgical management recommended and delivered. Between 2011 and 2019, 83 patients with 83 PDFFs that extended to the femoral component of a total knee arthroplasty (TKA) were retrospectively identified from a trauma database. Minimum follow-up was 1 year. Age, BMI, time from TKA, operative management, and Nottingham Hip Fracture Scores were collected, and AP and lateral radiographs used to classify all fractures using seven established classification systems by two observers blinded to management. In patients treated operatively (n = 69), preoperative radiographs were reviewed by two surgeons with expertise in trauma and knee revision who recommended fixation or distal femoral replacement (DFR) requirement. Mean age was 80.7 years (SD9.4) and 50 (84.7%) were female. PDFFs occurred at a mean 9.5 years (SD5.2) after primary TKA. Mean follow-up was 3.8 years (SD2.9). Management was fixation in 47, DFR in 22 and non-operative for 14. The Fakler classification demonstrated highest interobserver reliability (ICC=0.948), followed by the Rorabeck (ICC=0.903), UCS (ICC=0.850) and Chen (ICC=0.906). The Neer classification demonstrated weakest agreement (ICC=0.633). Overall accuracy of predicting DFR requirement (as determined by two experts) was highest for the Fakler system (83.9%). Compared with actual management delivered the Rorabeck system was most accurate (94.1%). Multivariate regression demonstrated that the ultimate need for DFR (n = 22) was independently associated with medial comminution (HR 2.66 (1.12-6.35 95%CI), p = 0.027) and fractures distal to the anterior flange and posterior condyle of the femoral component (HR 2.45 (1.13-5.31), p = 0.024). The Fakler classification showed highest interobserver agreement and was most accurately predictive of the management recommended by two experts. No classification system accurately predicted the fractures that required DFR, and none included medial comminution which was independently associated with DFR requirement. There remains a need for a PDFF classification system that reliably guides operative management of PDFFs.

Identifiants

pubmed: 35948511
pii: S0020-1383(22)00533-2
doi: 10.1016/j.injury.2022.08.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3430-3437

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no conflicts of interest to declare.

Auteurs

Navnit S Makaram (NS)

Department of Orthopaedics and Trauma, Royal Infirmary of Edinburgh, Little France Crescent, Edinburgh EH16 4SA, United Kingdom; The University of Edinburgh, Little France Crescent, United Kingdom. Electronic address: nmakaram@ed.ac.uk.

Lauren A Ross (LA)

Department of Orthopaedics and Trauma, Royal Infirmary of Edinburgh, Little France Crescent, Edinburgh EH16 4SA, United Kingdom.

Oisin Jf Keenan (OJ)

Department of Orthopaedics and Trauma, Royal Infirmary of Edinburgh, Little France Crescent, Edinburgh EH16 4SA, United Kingdom.

Matthew Magill (M)

The University of Edinburgh, Little France Crescent, United Kingdom.

Matt Moran (M)

Department of Orthopaedics and Trauma, Royal Infirmary of Edinburgh, Little France Crescent, Edinburgh EH16 4SA, United Kingdom.

Chloe E H Scott (CEH)

Department of Orthopaedics and Trauma, Royal Infirmary of Edinburgh, Little France Crescent, Edinburgh EH16 4SA, United Kingdom; The University of Edinburgh, Little France Crescent, United Kingdom.

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Classifications MeSH