International Orthopaedics

, Volume 36, Issue 8, pp 1601–1608 | Cite as

Factors associated with prolonged length of stay following a total knee replacement in patients aged over 75

  • Shruti Raut
  • Stephan Christian Mertes
  • Graciela Muniz-Terrera
  • Vikas Khanduja
Original Paper



The aim of this study was to examine factors associated with a prolonged length of stay (LOS) in patients over 75 undergoing a total knee replacement (TKR).


Patients over 75 undergoing a TKR at our institution from January 2008 to February 2009 were identified (n = 112). Patient and operative factors previously shown to affect length of stay were identified. Patient notes were reviewed for details on each of these and data analysed for their effect on length of stay. Discrete data were analysed for their effect on post-operative length of stay using either the Mann-Whitney U test or the Kruskall-Wallis test and continuous data analysed with the Spearman’s rank correlation coefficient.


The following factors were associated with length of stay at the 95 % confidence level: patient age, pre-operative mobility and the use of walking aids, BMI, whether the patient was able to mobilise within 24 or 48 hours of the surgery, the day on which the patient first walked ten metres and achieved 90° active knee flexion, pre and post-operative haemoglobin and the need for a blood transfusion.


Pre-operative use of walking aids, peri-operative haemoglobin concentration, failure to mobilise early following the operation and post-operative complications (including the need for a blood transfusion) seem to be the significant factors associated with a prolonged stay in hospital in the over 75 year olds.


Total Knee Replacement Femoral Nerve Block Integrate Care Pathway Primary Total Knee Replacement Active Knee Flexion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors would like to thank Professor Lee Shepstone of The University of East Anglia for his advice regarding statistical analysis.


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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Shruti Raut
    • 1
  • Stephan Christian Mertes
    • 1
  • Graciela Muniz-Terrera
    • 2
  • Vikas Khanduja
    • 1
  1. 1.Department of Trauma and OrthopaedicsAddenbrooke’s – Cambridge University Hospitals NHS Foundation TrustCambridgeUK
  2. 2.MRC Biostatistics Unit, Institute of Public HealthUniversity of CambridgeCambridgeUK

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