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Abstracts Posters SICOT-SOF meeting Gothenburg 2010 _2_

Abstracts Posters SICOT-SOF meeting Gothenburg 2010 _2_

Abstracts Posters SICOT-SOF meeting Gothenburg 2010 _2_

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Poster<br />

Topic: General Orthopaedics<br />

Abstract number: 26420<br />

FACTORS DETERMINING THE LENGTH OF STAY FOLLOWING A PRIMARY<br />

TOTAL KNEE REPLACEMENT<br />

Shruti RAUT, Stephan MERTES, Vikas KHANDUJA<br />

Addenbrooke’s - Cambridge University Hospitals NHS Foundation Trust, Cambridge<br />

(UNITED KINGDOM)<br />

Aim: The aim of this study was to determine the factors that affect the length of stay<br />

in hospital following a primary total knee replacement. Materials and Methods: It is a<br />

retrospective analysis of all the patients who underwent a primary total knee<br />

replacement (TKR) between January and December 2008 at our institution (n=346).<br />

A comprehensive database was developed and all the patient records were<br />

examined for pre, intra and post-operative factors that had previously been shown to<br />

affect length of stay and recorded into the database. At the time of submission of the<br />

abstract complete data from 175 operations was available. Spearman’s correlation<br />

coefficient, Mann-Whitney U test or Kruskal-Wallis ANOVA were used to analyse the<br />

data depending on the nature of the variable. Results: The following factors were<br />

found to significantly affect the length of stay at the 95% confidence level: Age,<br />

marital status, pre-operative use of a walking aid, comorbidity, pre and post-operative<br />

haemolobin, post-operative blood transfusion requirement, weekday of surgery, early<br />

post-operative mobilisation, post-operative day on which 10m mobilisation or 90o<br />

knee flexion were achieved, post-operative complications and ITU stay and the postoperative<br />

day deemed fit for discharge by occupational therapy. Conclusion: The<br />

above patient and treatment-related factors are associated with length of stay<br />

following a primary TKR. Although preliminary these results certainly show a trend<br />

and further investigation is warranted to assess whether modifying these factors has<br />

an impact on length of stay and the potential use of the above in a predictive model.<br />

281

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