• Der Unfallchirurg · Jul 2021

    [Distal femoral fractures in geriatric patients : Does time to surgery affect revision and mortality?]

    • F Müller, M Buchner, M Doblinger, and B Füchtmeier.
    • Klinik für Unfallchirurgie, Orthopädie und Sportmedizin, Krankenhaus Barmherzige Brüder Regensburg, Prüfeninger Str. 86, 93049, Regensburg, Deutschland. dr.med.franz.mueller@gmail.com.
    • Unfallchirurg. 2021 Jul 1; 124 (7): 568-573.

    BackgroundFor proximal femoral fractures the time to surgery has been reported to influence the mortality rate. To date, detailed analyses in geriatric patients with distal femoral fractures are not available.Material And MethodsA monocentric study with retrospective data retrieved from an electronic database was performed. The study included distal femoral fractures with surgical treatment between 2006 and 2017 in patients aged 65 years and older. A total of ten variables were evaluated and two outcome measures were investigated: revision and mortality in relation to time of surgery within 24 h or later. The minimum follow-up was 2 years. For patients who were still alive the Parker score was calculated. The null hypothesis was that time to surgery does not affect revision and mortality.ResultsA total of 57 consecutive patients with 60 fractures and an average age of 82.5 years (65-97 years) were included. Most of the fractures were supracondylar (n = 42). All but three fractures were treated with internal fixation. The revision rate was 17.5% (peri-implant fractures n = 4, infections n = 2, non-union n = 2, impaired wound healing n = 2 and secondary dislocation n = 1). The 1‑year mortality rate was 20%. No significant effects on revision (p = 0.414) and survival rate (log rank 0.175) were observed for patients treated within 24 h or later. After a mean postoperative period of 5.5 years, the mean Parker score for 18 living patients was 5.9.ConclusionTime to surgery demonstrated no significant effects with respect to revision and mortality. Multicenter studies are absolutely necessary to increase the sample size and statistical power.

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