Table of Contents Table of Contents
Previous Page  184 / 244 Next Page
Information
Show Menu
Previous Page 184 / 244 Next Page
Page Background

183

INTRODUCTION

Many factors influence outcomes following

anterior cruciate ligament (ACL) re­

construction. While much time and effort has

been spent evaluating the influence of

modifiable surgical factors such as graft choice,

tunnel locations, and surgical technique;

patient factors continue to play a large role in

determining outcomes following surgery.

Important outcomes following ACL re­

construction include graft failure risk (or as

report in many studies, revision risk) and

patient-reported outcomes.

Age and activity level are well known at this

point to influence failure risk following ACL

reconstruction, with younger patients and those

with higher activity levels (particularly cutting

and pivoting sports) demonstrating higher

failure risk [1]. Other intrinsic patient factors

including posterior tibial slope, associated

meniscus tears (particularly medially), and

smoking may influence failure risk.

Many patient factors including articular

cartilage and meniscus status, body mass

index, tobacco use, and activity level may

effect patients reported outcomes following

ACL reconstruction [4].

The goal of this study is to identify and describe

the influence of patient factors on outcomes of

ACL reconstruction in the MOON cohort.

PATIENT FACTORS

AFFECTING RISK OF GRAFT

FAILURE

Patient Age

Age has long been noted to be among the

strongest predictors of graft failure risk.

Analysis of 2683 primary ACL reconstructions

from the MOON cohort with 6 year follow-up

demonstrated a 9% decrease in the odds of ACL

graft failure for every 1 year increase in patient

age at the time of ACL reconstruction [2].

Activity Level

While activity level and age are related in that

activity level tends to decrease with increasing

age, activity level (as defined with a Marc

activity score) has also been shown in the

MOON cohort to be an independent predictor

of failure risk, controlling for age. The odds of

graft failure were demonstrated in this same

IMPACT OF PATIENT FACTORS

ON OUTCOMES OF ACL

RECONSTRUCTION:

Data from the MOON Cohort

R.A. MAGNUSSEN