Do anticoagulants impact the “in-house mortality” after surgical treatment of proximal femoral fractures—a multivariate analysis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-07-26

AUTHORS

Annabel Fenwick, Michael Pfann, Jakob Mayr, Iana Antonovska, Andreas Wiedl, Stefan Nuber, Stefan Förch, Edgar Mayr

ABSTRACT

PurposeThe prevalence of proximal femur fractures is increasing with rising population age. Patients are presenting with more comorbidities. Anticoagulants create a challenge for the necessary early surgical procedure (osteosynthesis or arthroplasty). Our aim was to investigate the influence of anticoagulants on in-house mortality after surgical treatment of proximal femoral fractures.MethodsA retrospective single-centre study was conducted including 1933 patients with an average age of 79.8 years treated operatively for a proximal femoral fracture between January 2016 and June 2020. One treatment protocol was performed based on type of anticoagulant, surgery, and renal function. Patient data, surgical procedure, time to surgery, complications and mortality were assessed.ResultsOn average, patients with anticoagulants had a delay to surgery of 41.37 hours vs 22.1 hours for patients without (p < 0.000). Anticoagulants were associated with the occurrence of complications. The total complication rate was 22.4%. Patients with complications showed a prolonged time to surgery in comparison to those without (28.9 h vs 24.9 h; p < 0.00). In-house mortality rate was 4% and twice as high for patients on anticoagulants (7.7%; p < 0.00). Whilst there was no significant difference in the mortality rate between surgery within 24 and 48 hours (2.9% vs. 3.8%; p < 0.535), there was a significant increase in mortality of patients waiting more than 48 hours (9.8%; p < 0.001).ConclusionsPre-existing anticoagulant therapy in patients with proximal femur fractures is associated with a higher mortality rate, risk of complications and prolonged hospital stay. Further influential factors are age, gender, BMI and time to surgery. More... »

PAGES

1-8

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URI

http://scigraph.springernature.com/pub.10.1007/s00264-022-05503-0

DOI

http://dx.doi.org/10.1007/s00264-022-05503-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1149764827

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35881189


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