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Research Article| Volume 23, ISSUE 10, P1674-1684, October 2015

KOOS pain as a marker for significant knee pain two and six years after primary ACL reconstruction: a Multicenter Orthopaedic Outcomes Network (MOON) prospective longitudinal cohort study

Open ArchivePublished:June 10, 2015DOI:https://doi.org/10.1016/j.joca.2015.05.025

      Summary

      Objective

      The prevalence of radiographic osteoarthritis (OA) after anterior cruciate ligament reconstruction (ACLR) approaches 50%, yet the prevalence of significant knee pain is unknown. We applied three different models of Knee injury and Osteoarthritis Outcome Score (KOOS) thresholds for significant knee pain to an ACLR cohort to identify prevalence and risk factors.

      Design

      Multicenter Orthopaedic Outcomes Network (MOON) prospective cohort patients with a unilateral primary ACLR and normal contralateral knee were assessed at 2 and 6 years. Independent variables included patient demographics, validated Patient Reported Outcomes (PRO; Marx activity score, KOOS), and surgical characteristics. Models included: (1) KOOS criteria for a painful knee = quality of life subscale <87.5 and ≥2 of: KOOSpain <86.1, KOOSsymptoms <85.7, KOOSADL <86.8, or KOOSsports/rec <85.0; (2) KOOSpain subscale score ≤72 (≥2 standard deviations below population mean); (3) 10-point KOOSpain drop from 2 to 6 years. Proportional odds models (alpha ≤ 0.05) were used.

      Results

      1761 patients of median age 23 years, median body mass index (BMI) 24.8 kg/m2 and 56% male met inclusion, with 87% (1530/1761) and 86% (1506/1761) follow-up at 2 and 6 years, respectively. At 6 years, n = 592 (39%), n = 131 (9%) and n = 169 (12%) met criteria for models #1 through #3, respectively. The most consistent and strongest independent risk factor at both time-points was subsequent ipsilateral knee surgery. Low 2-year Marx activity score increased the odds of a painful knee at 6 years.

      Conclusions

      Significant knee pain is prevalent after ACLR; with those who undergo subsequent ipsilateral surgery at greatest risk. The relationship between pain and structural OA warrants further study.

      Keywords

      Introduction

      Anterior Cruciate Ligament (ACL) reconstruction (ACLR) is the most effective and reproducible treatment for ACL injured patients who want to return to cutting and pivoting sports
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      • Benum P.
      • Fasting O.
      • Molster A.
      • Strand T.
      A prospective, randomized study of three surgical techniques for treatment of acute ruptures of the anterior cruciate ligament.
      • Grontvedt T.
      • Engebretsen L.
      • Bredland T.
      Arthroscopic reconstruction of the anterior cruciate ligament using bone-patellar tendon-bone grafts with and without augmentation. A prospective randomized study.
      • Spindler K.P.
      • Wright R.W.
      Clinical practice. Anterior cruciate ligament tear.
      . More than half of the patients undergoing ACLR will have concomitant pathology, including injuries to the articular cartilage in more than 20%, lateral meniscal tears in up to 46% and medial meniscal tears in 38%
      • Cox C.L.
      • Huston L.J.
      • Dunn W.R.
      • Reinke E.K.
      • Nwosu S.K.
      • Parker R.D.
      • et al.
      Are articular cartilage lesions and meniscus tears predictive of IKDC, KOOS, and Marx activity level outcomes after ACL reconstruction? A 6-year MOON cohort study.
      .
      An ACL tear is a known risk factor for the development of osteoarthritis (OA)
      • Muthuri S.G.
      • McWilliams D.F.
      • Doherty M.
      • Zhang W.
      History of knee injuries and knee osteoarthritis: a meta-analysis of observational studies.
      . Intermediate and long-term follow-up of ACLR patients has demonstrated a high prevalence of radiographic findings consistent with post-traumatic OA
      • Oiestad B.E.
      • Engebretsen L.
      • Storheim K.
      • Risberg M.A.
      Knee osteoarthritis after anterior cruciate ligament injury.
      • Magnussen R.A.
      • Mansour A.A.
      • Carey J.L.
      • Spindler K.P.
      Meniscus status at anterior cruciate ligament reconstruction associated with radiographic signs of osteoarthritis at 5- to 10-year follow-up.
      • Chalmers P.N.
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      • Moric M.
      • Sherman S.L.
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      • Cole B.J.
      • et al.
      Does ACL reconstruction alter natural history? A systematic literature review of long-term outcomes.
      . Which factors, including concomitant pathology, the original injury, surgical techniques, or other as yet unidentified factors, are most responsible for the development of radiographic changes is unknown. A systematic review of studies including patients 5- to 10-years after ACLR
      • Oiestad B.E.
      • Engebretsen L.
      • Storheim K.
      • Risberg M.A.
      Knee osteoarthritis after anterior cruciate ligament injury.
      , found radiographic joint space narrowing in 0–13% of patients with intact menisci, and 21–48% in those who had undergone either meniscectomy or repair. The meniscal status was also demonstrated to be important in a systematic review of non-reconstructed ACL injured patients
      • Magnussen R.A.
      • Mansour A.A.
      • Carey J.L.
      • Spindler K.P.
      Meniscus status at anterior cruciate ligament reconstruction associated with radiographic signs of osteoarthritis at 5- to 10-year follow-up.
      . Most studies, however, are limited by poor follow-up and significant heterogeneity in the classification systems utilized to describe radiographic OA.
      Although the definitions can be challenging
      • Pereira D.
      • Peleteiro B.
      • Araujo J.
      • Branco J.
      • Santosk R.A.
      • Ramos E.
      The effect of osteoarthritis definition on prevalence and incidence estimates: a systematic review.
      • Guermazi A.
      • Roemer F.
      • Felson D.
      • Brandt K.D.
      Motion for debate: osteoarthritis clinical trials have not identified efficacious therapies because traditional imaging outcome measures are inadequate.
      , a systematic review in 2011 demonstrated a relationship between structural OA and symptomatic OA among high quality studies
      • Kinds M.B.
      • Welsing P.M.
      • Vignon E.P.
      • Bjilsma J.W.
      • Viergever M.A.
      • Marjinissen A.C.
      • et al.
      A systematic review of the association between radiographic and clinical osteoarthritis of hip and knee.
      . Studies using Osteoarthritis Initiative (OAI) data have yielded further insight. Oak et al.
      • Oak S.R.
      • Ghodadra A.
      • Winalski C.S.
      • Miniaci A.
      • Jones M.H.
      Radiographic joint space width is correlated with 4-year clinical outcomes in patients with knee osteoarthritis: data from the osteoarthritis initiative.
      found a correlation between joint space narrowing at study entry, and greater progression of narrowing over the course of the study, with worse Patient Reported Outcomes (PRO) at 4 years. Others have found weak correlations between PRO and magnetic resonance image (MRI) confirmation of joint space narrowing
      • Illingworth K.D.
      • Bitar Y.E.
      • Seiwert K.
      • Scaife S.L.
      • El-Amin S.
      • Saleh K.J.
      Correlation of WOMAC and KOOS scores to tibiofemoral cartilage loss on plain radiography and 3 Tesla MRI: data from the osteoarthritis initiative.
      , but these correlations were highest for the knee pain subscale of the Knee injury and Osteoarthritis Outcome Score (KOOS).
      A consensus expert panel developed a definition of patients with a symptomatic knee significant enough to seek medical attention. This definition, based on threshold levels of KOOS subscale scores
      • Englund M.
      • Roos E.M.
      • Lohmander L.S.
      Impact of type of meniscal tear on radiographic and symptomatic knee osteoarthritis.
      , was based on the long-term follow-up of patients who previously underwent isolated partial meniscectomy with intact cruciate ligaments. Other criteria for clinically significant knee pain that have been developed based on PRO, include the KOOS Minimal Clinically Important Difference (MCID) of 8–10 points
      • Roos E.M.
      • Toksvig-Larsen S.
      Knee injury and Osteoarthritis Outcome Score (KOOS) – validation and comparison to the WOMAC in total knee replacement.
      , and the Osteoarthritis Research Society International (OARSI) Standing Committee criteria for interventions of OA of the knee (“OARSI responder criteria”) of 20 points
      • Dougados M.
      • LeClaire P.
      • van der Heijde D.
      • Bloch D.A.
      • Bellamy N.
      • Altman R.D.
      Response criteria for clinical trials on osteoarthritis of the knee and hip. A report of the osteoarthritis research society international standing committee for clinical trials response criteria initiative.
      • Paradowski P.T.
      • Englund M.
      • Roos E.M.
      • Lohmander L.S.
      Similar group mean scores, but large individual variations, in patient-relevant outcomes over 2 years in meniscectomized subjects with and without radiographic knee osteoarthritis.
      .
      Given that many patients who undergo ACLR develop radiographic OA, the main objective of this study was to identify the prevalence of significant knee pain by PRO after ACLR, using published definitions and cut-offs for either symptomatic OA or clinically significant knee pain. The second objective was to identify risk factors for developing a painful knee from patient, injury, and surgical characteristics 6 years following an ACL reconstruction.

      Methods

      Study design

      Longitudinal prospective cohort (prognostic): The Multicenter Orthopaedic Outcomes Network (MOON) cohort
      • Spindler K.P.
      • Parker R.D.
      • Andrish J.T.
      • Kaeding C.C.
      • Wright R.W.
      • Marx R.G.
      • et al.
      Prognosis and predictors of ACL reconstructions using the MOON cohort: a model for comparative effectiveness studies.
      . MOON is a prospective, longitudinal, multicenter cohort study based in the United States, and designed to examine short and long-term prognosis after ACL reconstruction using validated patient-reported outcomes. MOON was also designed to generate hypotheses surrounding novel methods for improving outcomes after ACL injury.

      Data sources

      Participants completed a 13-page questionnaire providing patient demographics, a description of their injury, sports participation history, comorbidities and past medical history. Each participant also completed validated general and knee specific instruments, including the KOOS
      • Roos E.M.
      • Roos H.P.
      • Lohmander L.S.
      • Ekdahl C.
      • Beynnon B.D.
      Knee injury and Osteoarthritis Outcome Score (KOOS): development of a self-administered outcome measure.
      and the Marx activity rating scale
      • Marx R.G.
      • Stump T.J.
      • Jones E.C.
      • Wickiewicz T.L.
      • Warren R.F.
      Development and evaluation of an activity rating scale for disorders of the knee.
      . Contained within the KOOS is the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC)
      • Bellamy N.
      • Buchanan W.W.
      • Goldsmith C.H.
      • Campbell J.
      • Stitt L.W.
      Validation study of WOMAC: a health status instrument for measuring clinically important patient relevant outcomes to antirheumatic drug therapy in patients with osteoarthritis of the hip or knee.
      . All were completed within 2 weeks of the surgery date.
      Surgeons completed a standardized questionnaire, which included detailed information regarding surgical technique, graft choice, and concomitant meniscal and articular cartilage pathology and treatment. The inter-rater reliability of grading systems for articular cartilage (modified Outerbridge) and meniscal lesions were previously validated among participating surgeons and found to be high
      • Marx R.G.
      • Connor J.
      • Lyman S.
      • Amendola A.
      • Andrish J.T.
      • Kaeding C.K.
      • et al.
      Multirater agreement of arthroscopic grading of knee articular cartilage.
      • Dunn W.R.
      • Wolf B.R.
      • Amendola A.
      • Andrish J.T.
      • Kaeding C.K.
      • Marx R.G.
      • et al.
      Multirater agreement of arthroscopic meniscal lesions.
      . Meniscal pathology was classified by size, location, partial vs complete tears and treatment (not treated, repaired, resection and extent of resection).

      Cohort design

      All patients (n = 2222) who had undergone a unilateral primary ACLR at a participating MOON institution (Vanderbilt University, The Ohio State University, Washington University at St. Louis, University of Iowa, the Cleveland Clinic, and the Hospital for Special Surgery) between 2002 and 2005 were eligible for inclusion into this study. All patients provided informed consent from their respective institution. A prior exclusion criteria included previous contralateral ACL reconstruction, simultaneous bilateral ACL reconstruction, ACL repair, or a revision ACL reconstruction as the index (enrollment) event. ACL revision patients report worse PRO than primary ACL reconstruction patients
      • Cox C.L.
      • Huston L.J.
      • Dunn W.R.
      • Reinke E.K.
      • Nwosu S.K.
      • Parker R.D.
      • et al.
      Are articular cartilage lesions and meniscus tears predictive of IKDC, KOOS, and Marx activity level outcomes after ACL reconstruction? A 6-year MOON cohort study.
      • Wright R.
      • Spindler K.
      • Huston L.
      • Amendola A.
      • Andrish J.
      • Brophy R.
      • et al.
      Revision ACL reconstruction outcomes: MOON cohort.
      • Wright R.W.
      • Gill C.S.
      • Chen L.
      • Brophy R.H.
      • Matava M.J.
      • Smith M.V.
      • et al.
      Outcome of revision anterior cruciate ligament reconstruction: a systematic review.
      • Lind M.
      • Menhert F.
      • Pedersen A.B.
      Incidence and outcome after revision anterior cruciate ligament reconstruction: results from the Danish registry for knee ligament reconstructions.
      , and so were excluded. ACL repair is an atypical treatment and was excluded. Patients with a contralateral ACL reconstruction prior to initial enrollment into the MOON cohort, or performed concurrently, were excluded on the basis that this study's objective included understanding how a subsequent contralateral reconstruction would influence PRO for significant knee pain. No patients were excluded from analysis due to incomplete baseline data (all n = 2222 completed baseline PRO).

      Outcomes – definitions of a ‘painful or symptomatic knee’

      We utilized previously published definitions of KOOS thresholds for a symptomatic knee as described in the introduction. We built three models, as follows:
      • 1.
        Model #1. The primary model was defined as the operational definition of Englund et al.
        • Englund M.
        • Roos E.M.
        • Lohmander L.S.
        Impact of type of meniscal tear on radiographic and symptomatic knee osteoarthritis.
        (“Englund model”) to distinguish patients with sufficient knee symptoms to seek medical care. The Englund model is defined as having a KOOS knee-related quality of life (QoL) subscale ≤87.5 and two or more of the other subscales: KOOS pain ≤86.1, KOOS symptoms ≤85.7, KOOS activities of daily living (ADL) ≤86.8, or KOOS sports and recreation (“sport/rec”) ≤85.0.
      • 2.
        Model #2. The KOOS knee pain subscale has been shown to have the highest correlation with structural OA changes
        • Illingworth K.D.
        • Bitar Y.E.
        • Seiwert K.
        • Scaife S.L.
        • El-Amin S.
        • Saleh K.J.
        Correlation of WOMAC and KOOS scores to tibiofemoral cartilage loss on plain radiography and 3 Tesla MRI: data from the osteoarthritis initiative.
        , and is a direct measure of knee pain. Therefore, we defined a secondary model for significant knee pain as a KOOS pain subscale two standard deviations lower than the reported normal mean value in athletic populations with a history of (any) knee ligament injury. This value was 92.3 ± 10.024, which translated into a cut-off score of ≤72 points (“KOOS pain ≤72 model”). This definition also qualified as a 20-point change, consistent with OARSI responder criteria for effective interventions in OA
        • Dougados M.
        • LeClaire P.
        • van der Heijde D.
        • Bloch D.A.
        • Bellamy N.
        • Altman R.D.
        Response criteria for clinical trials on osteoarthritis of the knee and hip. A report of the osteoarthritis research society international standing committee for clinical trials response criteria initiative.
        .
      • 3.
        Model #3. The reported MCID for the KOOS pain subscale is 6.1 points in athletes after ACL reconstruction
        • Salavati M.
        • Akbhari B.
        • Mohammadi F.
        • Mazaheri M.
        • Khorrami M.
        Knee injury and Osteoarthritis Outcome Score (KOOS); reliability and validity in competitive athletes after anterior cruciate ligament reconstruction.
        , to between 8 and 10 points for patients with OA
        • Roos E.M.
        • Toksvig-Larsen S.
        Knee injury and Osteoarthritis Outcome Score (KOOS) – validation and comparison to the WOMAC in total knee replacement.
        • Roos E.M.
        • Lohmander L.S.
        The Knee injury and Osteoarthritis Out-come Score (KOOS): from joint injury to osteoarthritis.
        . To utilize a more conservative estimate of the MCID, we selected a drop of 10 points in the KOOS pain subscale from 2 years to 6 years follow-up as an additional secondary definition of patients with a painful knee after ACL reconstruction (“KOOS pain MCID model”). This model attempted to identify patients who had a clinically significant worsening of knee pain.

      Model variables

      Variables included all those from the original MOON cohort. They included patient demographics (age, sex, body mass index [BMI], smoking status, education level, main sport played at the time of injury, enrollment year), validated PRO (KOOS, WOMAC, Marx activity), surgical characteristics (graft type, meniscal pathology/treatment, articular cartilage pathology), and incidence of subsequent surgery on either knee (Table I). The Marx score is a measure of the frequency and intensity of cutting and pivoting sports. The inclusion of variables in our models was based on substantive knowledge of the clinical or epidemiological association between them and PRO after ACL reconstruction surgery. These relationships have been established by our own work with this cohort
      • Cox C.L.
      • Huston L.J.
      • Dunn W.R.
      • Reinke E.K.
      • Nwosu S.K.
      • Parker R.D.
      • et al.
      Are articular cartilage lesions and meniscus tears predictive of IKDC, KOOS, and Marx activity level outcomes after ACL reconstruction? A 6-year MOON cohort study.
      • Magnussen R.A.
      • Mansour A.A.
      • Carey J.L.
      • Spindler K.P.
      Meniscus status at anterior cruciate ligament reconstruction associated with radiographic signs of osteoarthritis at 5- to 10-year follow-up.
      • Spindler K.P.
      • Parker R.D.
      • Andrish J.T.
      • Kaeding C.C.
      • Wright R.W.
      • Marx R.G.
      • et al.
      Prognosis and predictors of ACL reconstructions using the MOON cohort: a model for comparative effectiveness studies.
      • Wright R.
      • Spindler K.
      • Huston L.
      • Amendola A.
      • Andrish J.
      • Brophy R.
      • et al.
      Revision ACL reconstruction outcomes: MOON cohort.
      and have been derived from literature review
      • Spindler K.P.
      • Parker R.D.
      • Andrish J.T.
      • Kaeding C.C.
      • Wright R.W.
      • Marx R.G.
      • et al.
      Prognosis and predictors of ACL reconstructions using the MOON cohort: a model for comparative effectiveness studies.
      . They extend to include baseline PRO scores, patient demographic factors and surgical variables.
      Table IList of modeling variables
      CategoryLevels
      Baseline outcome scoresKOOS (5 subscales); WOMAC (pain, stiffness subscales)Continuous
      Patient demographicsAge (years)Continuous
      GenderMale, female
      BMIContinuous
      Smoking statusNever, quit, current
      Education level (years)1–16 (continuous)
      Baseline activity level (Marx)Continuous
      Main sport played last 2 yrsBasketball, football, soccer, other, none
      Surgical variablesGraft typeAutograft (BTB), autograft (soft tissue), allograft (BTB), allograft (soft tissue)
      Meniscal pathology
      • Previous
      No, yes
      • Medial
      Normal, no tx for tear, repair, excised, other
      • Lateral
      Normal, no tx for tear, repair, excised, other
      Articular cartilage pathology
      • Previous
      No, yes
      • Medial femoral condyle (MFC)
      Normal/grade 1, grade 2, grade 3, grade 4
      • Lateral femoral condyle (LFC)
      Normal/grade 1, grade 2, grade 3, grade 4
      • Medial tibial plateau (MTP)
      Normal/grade 1, grade 2, grades 3/4
      • Lateral tibial plateau (LTP)
      Normal/grade 1, grade 2, grades 3/4
      • Patella
      Normal/grade 1, grade 2, grades 3/4
      • Trochlea
      Normal/grade 1, grade 2, grades 3/4
      Miscellaneous variablesYear of surgery (enrollment)2002, 2003, 2004, 2005
      Subsequent ipsilateral surgeryNo, arthroscopic procedure, revision ACL reconstruction, total knee arthroplasty (TKA)
      Subsequent contralateral surgeryNo, arthroscopic procedure, ACL reconstruction, total knee arthroplasty (TKA)

      Statistical analysis

      To describe our patient sample, we summarized continuous variables as percentiles (i.e., 25th, 50th, and 75th) with their mean and standard deviation, and categorical variables with frequencies and percentages. Multivariable regression analyses were constructed to examine which baseline risk factors were independently associated with each outcome variable. An a priori determined list of variables to be included in all models were given by: age, gender, BMI, smoking status, education level, main sport played the last 2 years, baseline KOOS, WOMAC, and Marx activity levels, graft type, previous meniscal pathology, current meniscal pathology/treatment, previous articular cartilage pathology, current articular cartilage pathology, subsequent surgery on the ipsilateral and contralateral knee, and enrollment year. We assumed independence of all covariates because we compared between subjects and not within, and when fitting the multivariable regression models, we measured each covariate's independent adjusted association with the outcome. For binary outcome variables a multivariable logistic regression model was fit to the data, parameter estimates were exponentiated to obtain odds ratios (OR) and 95% confidence intervals (CI), based on a dichotomous outcome (yes/no). We did not assume a linear relationship between continuous covariates (independent variables) and each outcome in order to avoid underestimating the true relationship, instead utilized a restricted cubic regression splines technique that assumes smooth relationships (i.e., they are linearly related to the log odds). To avoid case-wise deletion of records with missing covariates, we employed multiple imputation via predictive mean matching. All model assumptions (as listed above) were met. Statistical analysis was performed using open source R statistical software (www.r-project.org; Version 3.0.3).

      Post hoc analysis

      Preliminary findings demonstrated that a low Marx activity score at 2 years increased the odds of reporting a painful knee in both the Englund and KOOS pain ≤72 models. Therefore, in order to further understand the interaction of pain and activity, we performed a post hoc analysis to identify the proportion of patients reporting a high level of sport/activity-related knee pain, and to understand which factors modified that outcome. This model utilized responses from a 5-point Likert question on the International Knee Documentation Committee (IKDC): “What is the highest level of activity that you can perform without significant knee pain?” Patients were classified based on their answer to this question as high activity tolerance (“very strenuous activities” or “strenuous activities” or “moderate activities”) or low activity tolerance (“light activities” or “no described activities”). Models were built for this outcome (Model #4: “Activity tolerance model”) at 6 years based on the response to the question at 2 years.
      After determining that subsequent ipsilateral surgery was a risk factor, we performed a second post-hoc analysis to identify the number of patients who underwent a second surgery within 1 and 3 months prior to the 2- and 6-year time-points. This was performed due to concern that recent surgery may be the cause of higher reported pain. Furthermore, we re-analyzed each of the four models after excluding the patients with surgery within 3 months of the 2- and 6-year time-points.

      Results

      Figure 1 illustrates the cohort inclusion/exclusion criteria. There were 1761 subjects who fit the inclusion criteria and were included in this analysis. The median age of our cohort was 23 years, median BMI 24.8 kg/m2 and the cohort was 56% male. Patient follow-up was obtained on 87% (1530/1761) and 86% (1506/1761) at 2 and 6 years, respectively. The proportion of patients who met each of the three model criteria was calculated (see Table III). At 2 years, n = 46 patients fit both the Englund and KOOS pain ≤72 points models, out of a total n = 141 possible patients (32.6%). At 6 years, n = 67 patients fit all four models, out of a total n = 131 possible (51%). Full baseline demographics are supplied in Table II alongside the list of model variables and levels.
      Figure thumbnail gr1
      Fig. 1Flowchart showing the inclusion of participants in the study.
      Table IIBaseline data for the included cohort and the patients lost to follow-up
      CategoryVariable (N)LevelOverall cohort (n = 1761)

      n (%) or median (25th–75th)
      Lost to follow-up @ 2 yrs (n = 231)

      n (%) or median (25th–75th)
      Lost to follow-up @ 6 yrs (n = 255)

      n (%) or median (25th–75th)
      Patient demographicsSexMale980 (56%)146 (63%)169 (66%)
      Female781 (44%)85 (37%)86 (34%)
      AgeContinuous23 years (17–35)22 years (17–30)22 years (17–32)
      BMIContinuous24.8 kg/m2 (22.3–27.9)25.4 kg/m2 (22.9–29.2)26.4 kg/m2 (23.2–29.9)
      Smoking statusCurrent167 (10%)32 (15%)44 (18%)
      Quit smoking (>6 months)172 (10%)15 (7%)16 (6%)
      Never smoker1354 (80%)171 (78%)186 (76%)
      Education levelContinuous14.0 years (11.0–16.0)13.0 years (11.0–16.0)12.0 years (10.0–16.0)
      Main sportBasketball393 (23%)61 (27%)69 (27%)
      Football191 (11%)38 (17%)35 (14%)
      Soccer230 (13%)17 (7%)20 (8%)
      Other793 (46%)99 (43%)106 (42%)
      None134 (8%)14 (6%)22 (9%)
      PROMarx activityBaseline12 (8–16)13 (9–16)13 (8–16)
      2 years9 (4–13)N/A8 (1–12)
      KOOS symptomsBaseline68 (57–82)68 (50–79)68 (50–82)
      KOOS painBaseline75 (64–89)69 (58–86)72 (58–86)
      KOOS ADLBaseline88 (74–96)83 (68–94)82 (65–94)
      KOOS Sports & recBaseline50 (30–75)50 (25–75)50 (25–75)
      KOOS QoLBaseline38 (25–50)31 (19–50)31 (19–44)
      WOMAC stiffnessBaseline75 (62–88)75 (50–88)75 (50–88)
      WOMAC painBaseline90 (75–95)85 (70–95)85 (65–95)
      Surgical/Injury factorsPrevious meniscal pathologyNo1632 (93%)210 (91%)230 (90%)
      Yes129 (7%)21 (9%)25 (10%)
      Previous articular cartilage pathologyNo1739 (99%)228 (99%)249 (98%)
      Yes22 (1%)3 (1%)6 (2%)
      Graft typeAllograft (BTB)121 (7%)16 (7%)27 (11%)
      Allograft (soft tissue)299 (17%)39 (17%)35 (14%)
      Autograft (BTB)832 (47%)116 (51%)120 (47%)
      Autograft (soft tissue)509 (29%)60 (26%)73 (29%)
      Medial meniscus treatmentNormal/none1106 (63%)149 (65%)173 (68%)
      Tear/no treatment94 (5%)10 (4%)10 (4%)
      Repair229 (13%)39 (17%)35 (14%)
      Partial excision317 (18%)33 (14%)37 (15%)
      Other15 (1%)0 (0%)0 (0%)
      Lateral meniscus treatmentNormal/none927 (53%)118 (51%)127 (50%)
      Tear/no treatment197 (11%)25 (11%)25 (10%)
      Repair128 (7%)16 (7%)22 (9%)
      Partial excision497 (28%)72 (31%)80 (31%)
      Other12 (1%)0 (0%)1 (<1%)
      Medial femoral condyleNormal/grade 11381 (78%)189 (82%)202 (79%)
      Grade 2225 (13%)30 (13%)31 (12%)
      Grade 3117 (7%)8 (3%)15 (6%)
      Grade 438 (2%)4 (2%)7 (3%)
      Lateral femoral condyleNormal/grade 11498 (85%)197 (85%)209 (82%)
      Grade 2186 (11%)24 (10%)32 (13%)
      Grade 359 (3%)10 (4%)11 (4%)
      Grade 418 (1%)0 (0%)3 (1%)
      Medial tibial plateauNormal/grade 11694 (96%)228 (99%)250 (99%)
      Grade 245 (3%)1 (<1%)1 (<1%)
      Grades 3–422 (1%)0 (0%)0 (0%)
      Lateral tibial plateauNormal/grade 11611 (91%)215 (94%)230 (92%)
      Grade 2122 (7%)13 (6%)20 (8%)
      Grades 3–428 (2%)0 (0%)0 (0%)
      PatellaNormal/grade 11470 (83%)199 (90%)213 (88%)
      Grade 2181 (10%)21 (10%)29 (12%)
      Grades 3–4110 (6%)0 (0%)0 (0%)
      TrochleaNormal/grade 11641 (93%)219 (96%)238 (96%)
      Grade 282 (5%)10 (4%)11 (4%)
      Grades 3–438 (2%)0 (0%)0 (0%)
      Table IIISummary of Independent Variables [reported as OR (95% CI); bolded and P-value included when significant]
      CategoryVariable comparisonVariable (worse outcome, if significant)Model 1 (Englund)Model 2 (KOOS Pain ≤ 72)Model 3 (KOOS Pain MCID)Model 4 (Activity tolerance)
      2 years6 years2 years6 years6 years6 years
      Number of patients who satisfied criteria for each model655/1527 (43%)592/1505 (39%)141/1528 (9%)131/1504 (9%)169/1394 (12%)159/1495 (11%)
      Baseline outcome scoresKOOSSymptoms0.90 (0.69, 1.18)0.83 (0.69, 1.09)0.78 (0.45, 1.36)0.81 (0.45, 1.49)0.91 (0.59, 1.40)1.27 (0.78, 2.07)
      Pain0.66 (0.40, 1.07)0.78 (0.46, 1.32)0.48 (0.17, 1.36)0.87 (0.32, 2.37)1.45 (0.66, 3.18)1.00 (0.40, 2.51)
      ADLADL (low)0.53 (0.36, 0.79) P < 0.0010.67* (0.45, 0.99) P = 0.1170.78 (0.37, 1.62)0.89 (0.42, 1.89)1.13 (0.61, 2.07)0.67 (0.32, 1.41)
      Sports/RecSports/Rec (high)1.04 (0.82, 1.32)1.01 (0.77, 1.33)1.63 (1.13, 2.34) P = 0.0160.78 (0.53, 1.16)0.90 (0.63, 1.30)0.88 (0.60, 1.29)
      QoL0.90 (0.76, 1.06)0.97 (0.82, 1.15)0.96 (0.73, 1.27)1.00 (0.73, 1.36)0.82 (0.64, 1.04)0.79 (0.60, 1.04)
      WOMACPain1.18 (0.77, 1.81)1.09 (0.69, 1.72)0.68 (0.31, 1.47)0.46 (0.20, 1.05)0.63 (0.29, 1.35)1.03 (0.50, 2.13)
      Stiffness0.92 (0.74, 1.15)0.92 (0.72, 1.16)1.06 (0.70, 1.59)1.57 (1.00, 2.47)1.07 (0.73, 1.58)0.92 (0.62, 1.36)
      Patient characteristicsAge (yrs)Age0.91 (0.55, 1.51)0.76 (0.42, 1.37)1.65 (0.73, 3.71)1.21 (0.48, 3.05)0.96 (0.42, 2.17)1.43 (0.62, 3.28)
      GenderFemales: MalesMales1.10 (0.86, 1.40)1.00 (0.75, 1.33)0.85 (0.54, 1.34)0.90 (0.54, 1.51)0.67 (0.47, 0.96) P = 0.0281.46 (0.89, 2.39)
      BMIBMIHigher BMI1.24 (1.01, 1.53) P = 0.0041.28* (1.01, 1.61) P = 0.0711.52 (1.04, 2.20) P = 0.0031.30 (0.84, 2.02)1.00 (0.71, 1.39)1.27 (0.89, 1.83)
      Smoking statusCurrent: NeverCurrent (compared to never)1.45 (0.96, 2.19)1.22 (0.81, 1.85)1.59 (0.92, 2.75)2.83 (1.46, 5.49) P = 0.0021.13 (0.62, 2.08)1.78 (1.00, 3.18)
      Quit: NeverQuitting (compared to never)1.66 (1.12, 2.45) P = 0.0110.84 (0.54, 1.32)0.96 (0.50, 1.83)1.96 (1.02, 3.75) P = 0.0420.59 (0.32, 1.12)1.03 (0.57, 1.89)
      Education (years)Years of educationLess education years1.04 (0.77, 1.41)0.80 (0.56, 1.14)0.63 (0.38, 1.03)0.43 (0.23, 0.79) P = 0.0220.72 (0.44, 1.16)0.61* (0.39, 0.98) P = 0.126
      Baseline activity level (Marx)Marx activity score1.31 (0.92, 1.87)1.16 (0.80, 1.69)1.38 (0.72, 2.65)1.39 (0.66, 2.92)0.93 (0.53, 1.63)1.26 (0.60, 2.67)
      2 year activity level (Marx)Marx activity scoreLow score (low activity)0.62 (0.48, 0.82) P = 0.0010.53 (0.33, 0.86) P = 0.0320.91 (0.64, 1.31)0.41 (0.26, 0.63) P < 0.001
      Surgical factorsPrevious meniscal pathologyYes: NoNo (compared to ‘yes’)1.48 (0.91, 2.39)1.23 (0.76, 1.98)1.11 (0.57, 2.16)1.13 (0.51, 2.52)0.43 (0.19, 0.97) P = 0.0411.78 (0.90, 3.51)
      Previous articular cartilage pathologyYes: No3.98 (0.95, 16.73)0.70 (0.20, 2.50)2.50 (0.70, 8.86)1.79 (0.46, 6.93)0.53 (0.08, 3.55)3.47 (0.58, 20.63)
      Current meniscal pathology
      • Medial
      Repair: Normal1.34 (0.94, 1.90)1.11 (0.79, 1.55)1.53 (0.90, 2.60)1.61 (0.91, 2.86)0.96 (0.59, 1.59)1.21 (0.65, 2.25)
      • Lateral
      No tear for treatment: NormalNormal (compared to no tx for tear)0.59 (0.39, 0.89) P = 0.0120.74 (0.50, 1.10)0.97 (0.50, 1.89)0.62 (0.28, 1.40)0.93 (0.52, 1.67)1.22 (0.65, 2.30)
      Current Articular cartilage pathology
      • Medial femoral condyle (MFC)
      Grade 4: Normal/grade 1Grade 4 (compared with normal/grade 1)1.62 (0.69, 3.76)1.43 (0.65, 3.14)1.07 (0.35, 3.32)1.28 (0.46, 3.61)1.42 (0.50, 3.98)2.67 (1.05, 6.80) P = 0.040
      • Lateral femoral condyle (LFC)
      Grade 2: Normal/grade 1Normal/grade 1 (compared to grade 2)0.70 (0.47, 1.05)0.73 (0.48, 1.09)0.75 (0.36, 1.57)0.34 (0.14, 0.82) P = 0.0160.83 (0.46, 1.49)1.01 (0.53, 1.92)
      Grade 3: Normal/grade 1Grade 3 (compared with normal/grade 1)1.78 (0.85, 3.73)2.58 (1.21, 5.50) P = 0.0141.40 (0.54, 3.62)1.37 (0.44, 4.29)1.89 (0.83, 4.32)1.56 (0.47, 5.19)
      • Medial tibial plateau (MTP)
      Grades 3/4: Normal/grade 1Grades 3/4 (compared with normal/grade 1)0.73 (0.24, 2.27)2.98 (0.93, 9.50)1.26 (0.35, 4.53)3.20 (0.76, 13.48)4.20 (1.33, 13.25) P = 0.0150.86 (0.17, 4.25)
      • Lateral tibial plateau (LTP)
      Grade 2: Normal/grade 1Normal/grade 1 (compared to grade 2)0.91 (0.57, 1.46)0.46 (0.26, 0.82) P = 0.0080.41 (0.15, 1.14)1.24 (0.53, 2.93)1.15 (0.60, 2.22)0.56 (0.24, 1.35)
      • Patella
      Grade 2: Normal/grade 1Grade 2 (compared with normal/grade 1)0.95 (0.63, 1.42)1.65 (1.06, 2.58) P = 0.0281.81 (0.96, 3.39)1.59 (0.74, 3.43)1.30 (0.66, 2.59)3.06 (1.68, 5.56) P < 0.001
      Grades 3/4: Normal/grade 1Grades 3/4 (compared with normal/grade 1)1.71 (1.04, 2.80) P = 0.0331.55 (0.94, 2.55)1.28 (0.60, 2.70)2.29 (0.92, 5.68)2.10 (1.09, 4.03) P = 0.0262.14 (1.07, 4.30) P = 0.032
      • Trochlea
      Grade 2: Normal/grade 1Normal/grade 1 (compared to grade 2)0.93 (0.52, 1.67)0.96 (0.54, 1.73)0.88 (0.37, 2.10)0.44 (0.14, 1.37)0.57 (0.22, 1.48)0.31 (0.12, 0.82) P = 0.017
      Subsequent surgeryIpsilateral kneeYes: NoYes (compared to ‘no’)2.31 (1.35, 3.96) P < 0.0012.66 (1.77, 4.01) P < 0.0012.20 (1.07, 4.55) P < 0.0013.41 (1.72, 6.75) P < 0.0011.94* (1.11, 3.39) P = 0.0603.03 (1.59, 5.79) P < 0.001
      Contralateral kneeYes: No0.62 (0.27, 1.41)0.92 (0.50, 1.68)0.23 (0.03, 1.88)0.90 (0.29, 2.76)1.55 (0.54, 4.45)0.47 (0.14, 1.64)
      Key:
      Significant values are depicted in bold.
      Gray shading indicates that outcome is counterintuitive to what one would think.
      * Although OR did not cross 1, indicating significance, the P value did not reach 0.05 level of significance.
      **After removal of patients with surgery ≤3 months before the outcome time-point, variable became significant (OR 1.82 (1.02, 3.27); P = 0.043).
      For continuous variables, where the OR <1.0 – variables are inversely related.
      For categorical variables, where the OR >1.0 – first variable listed is worse than second variable listed.
      For categorical variables, where the OR <1.0 – second variable listed is worse than first variable listed.
      Table III depicts the significant independent risk factors identified in each model. Subsequent ipsilateral surgery was the most consistent and strongest predictor of increased symptoms at both 2 and 6 years post-ACL reconstruction (broken down by type in Fig. 2). Subsequent surgeries were common, occurring at a rate of 16% (239/1530) at 2 years and 21.5% (324/1506) at 6 years. The majority of subsequent surgeries other than total knee replacement took place more than a year prior to the 6 year outcome measurement. The mean time to revision ACLR was 2.4 ± 1.9 years, total knee replacement 5.3 ± 2.2 years and other arthroscopic surgical procedures 2.1 ± 1.9 years. Revision ACLR was the single most common subsequent procedure. The vast majority of subsequent procedures took place remote from sampled time-points: only 1.3% (3/239) and 0% (0/324) of patients had a subsequent surgery within 1 month of filling out the KOOS forms at 2 years and 6 years, respectively. Furthermore, only 3.8% (9/239) and 1.2% (4/324) of patients had a subsequent surgery within 3 months of filling out the KOOS forms at 2 years and 6 years, respectively. When all four models were re-run with patients who had undergone subsequent surgery within 3 months removed, no changes were noted in the significance or magnitude of any statistically significant risk factors. One risk factor in model #4 which previously approached significance then became significant (current vs never smoker: OR 1.82 (1.02, 3.27); P = 0.043).
      Figure thumbnail gr2
      Fig. 2Subsequent ipsilateral surgical procedures at 6 years (“Other arthroscopic” includes hardware removal, meniscal and articular cartilage surgery, infection, arthrolysis/manipulation).
      Other independent risk factors that were found to be significant (although inconsistent) of increased symptoms at 2 and/or 6 years post-ACL reconstruction included higher BMI, smokers, less years of education, lower baseline KOOS ADL and higher baseline KOOS sports/rec subscale scores, and lower 2-year Marx activity levels (for predicting the 6-year models).
      Potential prognostic factors that did not alter the risk of reporting a painful knee or having significant activity-related pain included age, pre-operative/baseline activity level, pre-operative WOMAC (pain, stiffness) or KOOS (symptoms, pain, and QoL) baseline scores, graft type, medial meniscal pathology/treatment, and subsequent contralateral knee surgery. The grade of chondral damage at initial arthroscopy was an inconsistent predictor in the patellofemoral, medial and lateral compartments. In general, when chondral damage influenced the odds of reporting either a painful knee or significant activity-related pain, the tendency was for the effect to be driven by grade 3/4 change.

      Discussion

      The prevalence of significant patient-reported knee pain 6 years after ACLR was high, including 39% by the Englund definition, 9% for KOOS pain score ≤72 (drop ≥20 points) and 12% for KOOS pain MCID definition (drop ≥10 points). A similar proportion of patients (11%) reported significant activity-related knee pain at 6 years. This study is the first to apply these definitions to characterize this patient population and represents an important first step in identifying at-risk patients for the development of significant knee pain after ACLR.
      The most consistent risk factor across all definitions of significant knee pain also carried the largest impact – subsequent ipsilateral knee surgery. We utilized interactions of age and subsequent surgery in our statistical modeling because of our previous findings
      • Cox C.L.
      • Huston L.J.
      • Dunn W.R.
      • Reinke E.K.
      • Nwosu S.K.
      • Parker R.D.
      • et al.
      Are articular cartilage lesions and meniscus tears predictive of IKDC, KOOS, and Marx activity level outcomes after ACL reconstruction? A 6-year MOON cohort study.
      that demonstrated younger age increased the risk of subsequent surgery at 2 and 6 year follow-up. This limited the degrees of freedom we could use to identify which of the subsequent procedures had the most influence. At 6 years, ipsilateral re-operation was dominated by revision ACLR, further meniscus/articular cartilage surgery and surgical interventions for stiffness. Revision ACLR has been associated with worse PRO
      • Cox C.L.
      • Huston L.J.
      • Dunn W.R.
      • Reinke E.K.
      • Nwosu S.K.
      • Parker R.D.
      • et al.
      Are articular cartilage lesions and meniscus tears predictive of IKDC, KOOS, and Marx activity level outcomes after ACL reconstruction? A 6-year MOON cohort study.
      • Wright R.
      • Spindler K.
      • Huston L.
      • Amendola A.
      • Andrish J.
      • Brophy R.
      • et al.
      Revision ACL reconstruction outcomes: MOON cohort.
      • Wright R.W.
      • Gill C.S.
      • Chen L.
      • Brophy R.H.
      • Matava M.J.
      • Smith M.V.
      • et al.
      Outcome of revision anterior cruciate ligament reconstruction: a systematic review.
      • Lind M.
      • Menhert F.
      • Pedersen A.B.
      Incidence and outcome after revision anterior cruciate ligament reconstruction: results from the Danish registry for knee ligament reconstructions.
      , and subsequent meniscal or articular cartilage surgery is a recognized risk for radiographic OA changes in ACL reconstructed patients
      • Oiestad B.E.
      • Engebretsen L.
      • Storheim K.
      • Risberg M.A.
      Knee osteoarthritis after anterior cruciate ligament injury.
      . The identification of subsequent surgery as a risk factor for reporting a painful knee was also a robust enough finding that it held even with the removal of patients who had surgery within 3 months of the 2- and 6-year time-points from statistical analysis. That contralateral knee surgery did not increase the odds of reporting a painful knee, places further importance on subsequent surgeries as a marker for additional trauma or joint degeneration as a driver of poor outcomes. Better resolution of the type of procedure in subsequent investigations will be helpful, as some are potentially preventable through improved surgical technique, timing of surgery, or rehabilitation.
      Many ACLR patients exhibited activity-related knee pain in follow-up. We assessed this using model #4, and determined that 11% of patients met these criteria. This included approximately half who also met criteria for models #2 and #3 – both KOOS pain models. KOOS pain assesses both activity-related and non-activity related pain and contains the questions from the validated hip and knee OA tool – WOMAC
      • Roos E.M.
      • Toksvig-Larsen S.
      Knee injury and Osteoarthritis Outcome Score (KOOS) – validation and comparison to the WOMAC in total knee replacement.
      . Furthermore, we noted that a low Marx score at 2 years increased the odds of a patient meeting the Englund criteria (model #1), KOOS pain ≤72 criteria (model #2), and IKDC activity-related pain threshold (model #4). Whether simply being less active is a risk factor for reporting significant knee pain, or whether patients already developing significant knee pain become less active, is not known.
      There is no consensus definition for symptomatic OA or significant knee pain using PRO. This is further complicated by the heterogeneity of diagnoses/definitions reported in the literature. While we found the prevalence of significant knee pain was high, it varied considerably based on our definitions. The Englund et al.
      • Englund M.
      • Roos E.M.
      • Lohmander L.S.
      Impact of type of meniscal tear on radiographic and symptomatic knee osteoarthritis.
      criteria were the least stringent, but also the broadest including pain, symptoms and QoL reporting. The KOOS pain threshold in that model was 86 points, which corresponded to the 25th percentile of KOOS pain scores in the MOON cohort
      • Cox C.L.
      • Huston L.J.
      • Dunn W.R.
      • Reinke E.K.
      • Nwosu S.K.
      • Parker R.D.
      • et al.
      Are articular cartilage lesions and meniscus tears predictive of IKDC, KOOS, and Marx activity level outcomes after ACL reconstruction? A 6-year MOON cohort study.
      . Accordingly, this model identified the most patients. Few cues are available from the literature for prevalence of pain based on the Englund model in similar patients, with only two small published studies. In a cohort of 84 female soccer players with an ACL injury treated with either rehabilitation or surgery
      • Lohmander L.
      • Ostenberg A.
      • Englund M.
      • Roos H.
      High prevalence of knee osteoarthritis, pain, and functional limitations in female soccer players twelve years after anterior cruciate ligament injury.
      , 75% met the Englund criteria at 15 years follow-up. In contrast, 51% met criteria for knee OA on radiographs, and 42% met both. In a purely non-operative cohort
      • Kostogiannis I.
      • Ageberg E.
      • Neuman P.
      • Dahlberg L.
      • Friden T.
      • Roos H.
      Activity level and subjective knee function 15 years after anterior cruciate ligament injury: a prospective, longitudinal study of nonreconstructed patients.
      of 67 ACL injured patients, the 15-year KOOS pain scores were all 85 points or greater.
      The 20-point drop in KOOS pain score that we selected corresponded to the OARSI responder criteria
      • Dougados M.
      • LeClaire P.
      • van der Heijde D.
      • Bloch D.A.
      • Bellamy N.
      • Altman R.D.
      Response criteria for clinical trials on osteoarthritis of the knee and hip. A report of the osteoarthritis research society international standing committee for clinical trials response criteria initiative.
      and 2 standard deviations below the mean of KOOS scores of athletes with a history of knee ligament injury
      • Cameron K.L.
      • Thompson B.S.
      • Peck K.Y.
      • Owens B.D.
      • Marshall S.W.
      • Svoboda S.J.
      Normative values for the KOOS and WOMAC in a young athletic population: history of knee ligament injury is associated with lower scores.
      . Even fewer comparative studies exist in the literature for this definition. Paradowski et al.
      • Paradowski P.T.
      • Englund M.
      • Roos E.M.
      • Lohmander L.S.
      Similar group mean scores, but large individual variations, in patient-relevant outcomes over 2 years in meniscectomized subjects with and without radiographic knee osteoarthritis.
      applied the OARSI responder criteria, developed for use in OA interventional studies to identify therapies that produce significant knee pain reduction, to identify mild OA patients with significantly increased knee symptoms post-meniscectomy. Those with radiographic changes had a larger drop in KOOS pain score (11 points), and by 6 years they determined that 7% of patients had a ≥20 point KOOS pain drop. Another study of older, post-meniscectomy patients with intact ligaments demonstrated a mean baseline KOOS pain of 84 points
      • Roos E.M.
      • Bremander A.B.
      • Englund M.
      • Lohmander L.S.
      Change in self-reported outcomes and objective physical function over 7 years in middle-aged subjects with or at high risk of knee osteoarthritis.
      , but with high individual variation. Seven years later the same patients reported a further six point drop in KOOS pain on average which was worse in females and those with radiographic changes.
      A 20-point KOOS pain drop that is two standard deviations below population norms
      • Cameron K.L.
      • Thompson B.S.
      • Peck K.Y.
      • Owens B.D.
      • Marshall S.W.
      • Svoboda S.J.
      Normative values for the KOOS and WOMAC in a young athletic population: history of knee ligament injury is associated with lower scores.
      should theoretically include only 2.5% of our cohort. In fact, however, the distribution of KOOS pain was skewed to the left at 6 years with more than 9% of patients having a score below this cut-off. This finding offers both clinical and statistical significance and reinforces the role of subsequent injury, joint degeneration, or concomitant pathology at the primary reconstruction in the identification of patients at-risk for high levels of self-reported knee pain. Furthermore, a significant proportion of these patients reported high levels of activity-related pain according to our IKDC model #4 definition.

      Limitations

      There are some challenges in comparing our cohort with previous studies that have attempted to develop and characterize the prevalence of significant knee pain. Prior studies have examined patients with a different primary surgical intervention – namely meniscectomy
      • Englund M.
      • Roos E.M.
      • Lohmander L.S.
      Impact of type of meniscal tear on radiographic and symptomatic knee osteoarthritis.
      • Paradowski P.T.
      • Englund M.
      • Roos E.M.
      • Lohmander L.S.
      Similar group mean scores, but large individual variations, in patient-relevant outcomes over 2 years in meniscectomized subjects with and without radiographic knee osteoarthritis.
      • Roos E.M.
      • Bremander A.B.
      • Englund M.
      • Lohmander L.S.
      Change in self-reported outcomes and objective physical function over 7 years in middle-aged subjects with or at high risk of knee osteoarthritis.
      • Paradowski P.T.
      • Englund M.
      • Lohmander S.
      • Roos E.M.
      The effect of patient characteristics on variability in pain and function over two years in early knee osteoarthritis.
      . The etiology of meniscal tears in those cohorts included both traumatic and atraumatic mechanisms, whereas our cohort had sustained a traumatic rupture of the ACL. Secondly, the meniscectomy cohorts have an older mean age than our cohort (mean age typically 46–56 years, compared to mean age <30 years at follow-up in our study). How a degenerative process and traumatic process modify the risk of developing knee OA is unknown.
      Loss to follow-up in our study was 13% (2 year) or 14% (6 year). Although there is no consensus on the introduction of bias based on follow-up, most estimates suggest that <5% loss will have no effect, while >20% may pose serious threats to validity
      • Sacket D.L.
      • Richardson W.S.
      • Rosenberg W.
      Evidence-based Medicine: How to Practice and Teach EBM.
      . Yet the direction and approximate magnitude of some covariates, such as socioeconomic markers, do not change with attrition approaching even 50%
      • Howe L.D.
      • Tilling K.
      • Galobardes B.
      • Lawlor D.A.
      Loss to follow-up in cohort studies: bias in estimates of socioeconomic inequalities.
      • Winding T.N.
      • Andersen J.H.
      • Labriola M.
      • Nohr E.A.
      Initial non-participation and loss to follow-up in a Danish youth cohort: implications for relative risk estimates.
      . MOON investigators go to considerable length to contact enrolled patients, including repeated mailings and phone calls. As noted in Table III, the proportion of males lost to follow-up was slightly higher (63% vs 56%), and some minor differences were seen for BMI and smoking status. We don't think this will have had a large effect on the study conclusions, as sex was not associated with outcome, smoking was inconsistently associated with only a couple outcomes and BMI was only a predictor in model #1.
      Our study was not designed to identify the best definition for a symptomatic knee. Accordingly, we utilized various definitions, each with advantages and disadvantages as well as mixed support in the literature. The agreement between models was reasonable at 6 years after ACLR, as exemplified by identifying approximately half of the patients (n = 67) from the most stringent model (KOOS pain ≤72; n = 131) in the remaining models. The identification of which outcomes (pain, function, or ADL) remain most important to post-ACLR patients, and the establishment of cut-off scores using the Patient Acceptable Symptomatic State (PASS) concept for ACLR will be important steps in further defining this subset of patients.
      Finally, we did not have radiographs available in follow-up of these patients to correlate structural change with symptomatic findings, as has been done in smaller series post isolated meniscectomy
      • Paradowski P.T.
      • Englund M.
      • Roos E.M.
      • Lohmander L.S.
      Similar group mean scores, but large individual variations, in patient-relevant outcomes over 2 years in meniscectomized subjects with and without radiographic knee osteoarthritis.
      • Lohmander L.
      • Ostenberg A.
      • Englund M.
      • Roos H.
      High prevalence of knee osteoarthritis, pain, and functional limitations in female soccer players twelve years after anterior cruciate ligament injury.
      • Roos E.M.
      • Bremander A.B.
      • Englund M.
      • Lohmander L.S.
      Change in self-reported outcomes and objective physical function over 7 years in middle-aged subjects with or at high risk of knee osteoarthritis.
      • Larsson S.
      • Englund M.
      • Struglics A.
      • Lohmander L.S.
      The association between changes in synovial fluid levels of ARGS-aggrecan fragments, progression of radiographic osteoarthritis and self-reported outcomes: a cohort study.
      • Oiestad B.E.
      • Holm I.
      • Engebretsen
      • Risberg M.A.
      The association between radiographic knee osteoarthritis and knee symptoms, function and quality of life 10-15 years after anterior cruciate ligament reconstruction.
      . The interaction of structural changes with symptoms is an important area for future research. This is heightened by the discordance between our study and systematic reviews of post-ACL reconstruction patients
      • Oiestad B.E.
      • Engebretsen L.
      • Storheim K.
      • Risberg M.A.
      Knee osteoarthritis after anterior cruciate ligament injury.
      that suggests meniscal pathology at the time of injury/surgery moderates radiographic OA risk. It would appear that while meniscal loss initiates joint space changes, it may be a weaker mediator of symptoms compared to other factors we have identified such as chondral damage and subsequent injury/surgery. There is some support for this notion based upon weak associations demonstrated between joint space narrowing and poor PRO in OAI cohort studies
      • Oak S.R.
      • Ghodadra A.
      • Winalski C.S.
      • Miniaci A.
      • Jones M.H.
      Radiographic joint space width is correlated with 4-year clinical outcomes in patients with knee osteoarthritis: data from the osteoarthritis initiative.
      • Illingworth K.D.
      • Bitar Y.E.
      • Seiwert K.
      • Scaife S.L.
      • El-Amin S.
      • Saleh K.J.
      Correlation of WOMAC and KOOS scores to tibiofemoral cartilage loss on plain radiography and 3 Tesla MRI: data from the osteoarthritis initiative.
      . A second explanation is that the follow-up in our study is not yet long enough for meniscal status at the time of surgery to have the same influence on PRO. Exploring these interactions in future work is of critical importance to define the patients truly at-risk for clinically relevant OA after ACL reconstruction.

      Summary

      Significant knee pain and symptoms is prevalent among 9–39% of first-time ACL reconstruction patients at 6 years. Patient-reported pain is affected to some degree by demographic factors and higher grades of concurrent cartilage damage at the index procedure, however, those who undergo second surgeries (e.g., revision, repeat arthroscopy) are at greatest risk. Whether this patient report of significant knee pain relates to structural arthritic changes requires further study.

      Author contributions

      Tabled 1
      FactorContributor
      Study design/conceptionDW, LJH, KPS
      Acquisition of dataLJH
      Analysis and interpretation of dataDW, LJH, SN, KPS
      Drafting of manuscriptDW
      Critical revision for intellectual contentDW, LJH, KPS
      Final approvalDW, LJH, KPS
      Provision of study materials or patientsAA, JTA, WRD, CCK, RM, ECM, RDP, KPS, MLW, BRW, RWW
      Statistical expertiseSN
      Obtaining of fundingKPS
      Administrative, technical or logistic support?
      Collection and assembly of dataAA, JTA, WRD, LJH, CCK, RM, ECM, RDP, KPS, MLW, BRW, RWW
      Responsible for integrity of the work:

      Competing interest statement

      David Wasserstein, Laura Huston, Samuel Nwosu, Kurt Spindler, and Warren Dunn report institutional funding by NIH/NIAMS grant #5R01 AR053684 (PI—Spindler) and #5K23 AR052392 (PI—Dunn). These same authors report institutional funding via Unrestricted Educational Gifts from Smith and Nephew Endoscopy and DonJoy Orthopaedics.
      Robert Marx has received funds outside the submitted work from the Journal of Bone and Joint Surgery (American) as Associate Editor; royalties from Demos Health for The ACL Solution; and royalties from Springer for Revision ACL Reconstruction.
      Annunziato Amendola has received personal funds outside the submitted work from Arthrex, Inc.; Arthrosurface, Inc.; and MTP Solutions.
      Brian Wolf has received personal funds outside the submitted work from United Health Care for participation on the Scientific Advisory Board.
      Rick W. Wright has received personal funds outside the submitted work for Board Membership on the American Board of Orthopaedic Surgery Board of Directors and from the American Orthopaedic Association as Treasurer-Elect. Additionally, he has received personal funds outside the submitted work from the NIA/NIAMS in the form of a research grant, and book royalties from Wolters Kluwer Lippincott Williams & Wilkins.

      Funding declaration

      The MOON cohort has obtained internal and external funding from numerous peer reviewed and non-peer reviewed sources. These include National Institutes of Health/National Institute of Arthritis and Musculoskeletal and Skin Diseases (Grant numbers: 5R01 AR053684; 5K23 AR052392), Center for Education and Research on Therapeutics/Agency of Health Research and Quality (Grant number: 5U18-HS016075). This project received partial support from the Orthopaedic Research and Education Foundation, DonJoy Orthopaedics, Smith and Nephew Endoscopy, Vanderbilt Sports Medicine Research Fund, and by CTSA award no. UL1TR000445 from the National Center for Advancing Translational Sciences. Its contents are solely the responsibility of the authors and do not necessarily represent official views of the National Center for Advancing Translational Sciences or the National Institutes of Health. The funding sources have partially supported the development and maintenance of the database and provided funding for a percent of effort for some of the research personnel.

      Acknowledgments

      We thank all our funding sources for supporting this work. These include National Institutes of Health/National Institute of Arthritis and Musculoskeletal and Skin Diseases (Grant numbers: 5R01 AR053684; 5K23 AR052392), Center for Education and Research on Therapeutics/Agency of Health Research and Quality (Grant number: 5U18-HS016075). This project received partial support from the Orthopaedic Research and Education Foundation, DonJoy Orthopaedics, Smith and Nephew Endoscopy, Vanderbilt Sports Medicine Research Fund, and by CTSA award no. UL1TR000445 from the National Center for Advancing Translational Sciences. The contents of this study are solely the responsibility of the authors and do not necessarily represent official views of the National Center for Advancing Translational Sciences or the National Institutes of Health.
      We thank the research coordinators, analysts and support staff from the MOON sites, whose efforts related to regulatory, data collection, subject follow-up, data quality control, analyses, and manuscript preparation make this consortium possible.
      We also thank all the subjects who generously enrolled and participated in this study.

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