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www.sori.org.au Predicting 1-year flexion Predicting 1-year flexion results in results in Total Knee Replacement patients Total Knee Replacement patients Negus JJ Negus JJ MSc MSc 1,2 1,2 Parker DA Parker DA FRACS FRACS 1 Coolican MRJ Coolican MRJ FRACS FRACS 1 Galea A Galea A MRCS MRCS 1 Ogut M Ogut M 2 1 Sydney Orthopaedic Research Institute Sydney Orthopaedic Research Institute 2 University of Sydney University of Sydney Australian Orthopaedic Association Australian Orthopaedic Association 70 70 th th Annual Scientific Meeting Annual Scientific Meeting Adelaide, 2010 Adelaide, 2010

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Page 1: Www.sori.org.au Predicting 1-year flexion results in Total Knee Replacement patients Negus JJ MSc 1,2 Parker DA FRACS 1 Coolican MRJ FRACS 1 Galea A MRCS

www.sori.org.au

Predicting 1-year flexion results in Predicting 1-year flexion results in Total Knee Replacement patientsTotal Knee Replacement patients

Negus JJ Negus JJ MSc MSc 1,21,2

Parker DA Parker DA FRACSFRACS11

Coolican MRJ Coolican MRJ FRACSFRACS11

Galea A Galea A MRCSMRCS11

Ogut M Ogut M 22

11 Sydney Orthopaedic Research Institute Sydney Orthopaedic Research Institute22 University of Sydney University of Sydney

Australian Orthopaedic AssociationAustralian Orthopaedic Association7070thth Annual Scientific Meeting Annual Scientific Meeting

Adelaide, 2010Adelaide, 2010

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www.sori.com.auwww.sori.com.au

DeclarationsDeclarations

No conflicts of interest to declareNo conflicts of interest to declare

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IntroductionIntroduction

A knee with poor flexion can be clinically restrictive.A knee with poor flexion can be clinically restrictive. ≤≤90˚ often a clinical cut-off90˚ often a clinical cut-off

It is unclear whether a knee with poor flexion at It is unclear whether a knee with poor flexion at

6-weeks will benefit from a manipulation6-weeks will benefit from a manipulation

Postoperative flexion has been shown to correlate Postoperative flexion has been shown to correlate to preoperative flexion, but not as a quantitative to preoperative flexion, but not as a quantitative predictor.*predictor.*

* Anouchi * Anouchi et al et al `96, Lingard `96, Lingard et al et al ‘04, Ritter ‘04, Ritter et al et al ’03’03

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www.sori.com.auwww.sori.com.au

Aims of StudyAims of Study

1.1. To identify the value of early postoperative To identify the value of early postoperative flexion measurements as predictors of 1-year flexion measurements as predictors of 1-year flexion.flexion.

2.2. To identify which knees might benefit from To identify which knees might benefit from manipulation in the early postoperative phase.manipulation in the early postoperative phase.

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www.sori.com.auwww.sori.com.au

MethodsMethods Prospective series of Prospective series of 104 knees in 100 patients104 knees in 100 patients

2 specialist knee surgeons2 specialist knee surgeons Age, BMI, Surgeon (implant)Age, BMI, Surgeon (implant) ROM measured ROM measured

Pre-op, intra-op, day 2, day 6, 6 weeks, 1 yearPre-op, intra-op, day 2, day 6, 6 weeks, 1 year Functional scores (WOMAC, Oxford)Functional scores (WOMAC, Oxford)

Pre-operativePre-operative 1 year1 year

Discharge 6 days postoperativelyDischarge 6 days postoperatively Most commonly to inpatient rehabilitationMost commonly to inpatient rehabilitation

Physiotherapy and rehabilitation not standardisedPhysiotherapy and rehabilitation not standardised

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Patients and MethodsPatients and Methods

Knee flexion measured with a goniometerKnee flexion measured with a goniometer Reproducible technique *Reproducible technique *

Spinal or general anaestheticSpinal or general anaesthetic

Medial parapatellar approachMedial parapatellar approach

Fixed bearing prosthesis; patella Fixed bearing prosthesis; patella resurfacedresurfaced

Peri-articular soft tissue infiltration of local Peri-articular soft tissue infiltration of local anaestheticanaesthetic

Closure with knee flexed between 60 – Closure with knee flexed between 60 – 90˚90˚

* Edwards * Edwards et al et al ‘04‘04

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www.sori.com.auwww.sori.com.au

DemographicsDemographics

Group Male Female

Number 104 33 67

Pre-op flexion

113 (50-135)

Age 70 (52-86) 71 (47-94)

BMI 28.9 28.9

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RESULTSRESULTS

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Arc of motionArc of motion

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Correlations with flexion at 1 yearCorrelations with flexion at 1 year

Significant correlations between –Significant correlations between – Preoperative flexion Preoperative flexion & 1 year flexion & 1 year flexion p= p=

0.0040.004 Week 6 flexion Week 6 flexion & 1 year flexion& 1 year flexion p=<0.001p=<0.001

Preoperative flexion Week 6 flexion

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Predictive equation at 6 Predictive equation at 6 weeksweeks

6/52 Flexion Multiply by

<100˚ 1.27

100-109˚ 1.122

110-119˚ 1.068

≥120˚ 1.035

Mean accuracy of 0.22˚ (0.04˚ if 6 week flexion is >100˚)

If 6 week flexion >100˚ 4 knees overestimated by >10˚Only 1 had 1 year flexion <110˚

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Clinical courseClinical course

• ≤≤90˚ at 6 weeks90˚ at 6 weeks

• Only 15% of these still had ≤90˚ at 1-yearOnly 15% of these still had ≤90˚ at 1-year

• ≤ ≤90˚ at 1 year90˚ at 1 year

• 75% had ≥110˚preoperative flexion75% had ≥110˚preoperative flexion

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Pre-op ≤90˚ vs. >90˚Pre-op ≤90˚ vs. >90˚

*

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6 week ≤90˚ vs. >90˚6 week ≤90˚ vs. >90˚

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Statistical modelStatistical model

A regression analysis model taking into account all A regression analysis model taking into account all variablesvariables

It explains 54% of the variance in the results *It explains 54% of the variance in the results *

Mean predictive accuracy 1.0˚ Mean predictive accuracy 1.0˚ (SD 8.0, CI 1.9)(SD 8.0, CI 1.9)

Only 8 predictions were overestimated by >10˚ Only 8 predictions were overestimated by >10˚

* * Anouchi Anouchi et al et al 19961996

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EquationEquation

1 year flexion 1 year flexion = =

-29753306 -29753306

+ ( 137000000 + ( 137000000 * * BMI BMI -0.5 -0.5 ) )

+ ( 6.18 + ( 6.18 * * Pre-op flexion Pre-op flexion 3 3 ) )

+ ( 2983 * + ( 2983 * 6 week flexion 6 week flexion 2 2 ))

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ConclusionsConclusions

1.1. 54% of the variance of final flexion accounted for 54% of the variance of final flexion accounted for byby

Preoperative flexion, 6 week flexion and BMI.Preoperative flexion, 6 week flexion and BMI. No effect of age, gender, surgeon and flexion at other time pointsNo effect of age, gender, surgeon and flexion at other time points

1.1. Flexion at 6 weeks can guide our predictions of Flexion at 6 weeks can guide our predictions of final flexion.final flexion.

1.1. A statistical model is needed to predict poor A statistical model is needed to predict poor flexion results.flexion results.

2.2. This study suggests caution before manipulating This study suggests caution before manipulating knees, based on a single postoperative flexion knees, based on a single postoperative flexion measurement alone.measurement alone.

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DiscussionDiscussion

The ability to predict which knees are likely to The ability to predict which knees are likely to end up with a poor result would benefit end up with a poor result would benefit surgeons and patients.surgeons and patients.

Further work before the model can be used as Further work before the model can be used as a clinical tool.a clinical tool.

Retrospective data analysis of extensive database.Retrospective data analysis of extensive database. Regression analysis for all variables.Regression analysis for all variables. Refine predictive equation.Refine predictive equation.

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Thank YouThank You

Many thanks to Dr Corey Scholes 1 PhD for his help with the statistical analysis

1 – Sydney Orthopaedic research Institute

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BibliographyBibliography

Anouchi YS Anouchi YS et alet al. Range of motion in total knee . Range of motion in total knee replacement. COOR 1996;331:87-92replacement. COOR 1996;331:87-92

Ritter MA Ritter MA et alet al. Predicting ROM after total knee . Predicting ROM after total knee arthroplasty. JBJS Am 2003;85:1278-1285arthroplasty. JBJS Am 2003;85:1278-1285

Edwards JZ Edwards JZ et alet al. Measuring flexion in knee . Measuring flexion in knee arthroplasty patients. J Arthroplasty;19:3:369-372arthroplasty patients. J Arthroplasty;19:3:369-372

Lingard EA Lingard EA et alet al. Predicting the outcome of total knee . Predicting the outcome of total knee arthroplasty. JBJS Am. 2004;86:2179-2186arthroplasty. JBJS Am. 2004;86:2179-2186