open access publication

Article, 2024

Patient Acceptable Symptom State Thresholds for IKDC-SKF and KOOS at the 10-Year Follow-up After Anterior Cruciate Ligament Injury: A Study From the Delaware-Oslo ACL Cohort

Orthopaedic Journal of Sports Medicine, ISSN 2325-9671, Volume 12, 5, 10.1177/23259671241250025

Contributors

Urhausen A.P. 0000-0002-4409-1501 (Corresponding author) [1] Grindem H. 0000-0003-2121-0827 [1] H. Ingelsrud L. [2] Roos E.M. 0000-0001-5425-2199 [3] Silbernagel K.G. 0000-0001-7566-407X [4] Snyder-Mackler L. [4] Risberg M.A. 0000-0002-9511-1314 [1] [5]

Affiliations

  1. [1] Norwegian School of Sport Sciences
  2. [NORA names: Norway; Europe, Non-EU; Nordic; OECD];
  3. [2] Copenhagen University Hospital Hvidovre
  4. [NORA names: Capital Region of Denmark; Hospital; Denmark; Europe, EU; Nordic; OECD];
  5. [3] University of Southern Denmark
  6. [NORA names: SDU University of Southern Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  7. [4] University of Delaware
  8. [NORA names: United States; America, North; OECD];
  9. [5] Oslo University Hospital
  10. [NORA names: Norway; Europe, Non-EU; Nordic; OECD]

Abstract

Background: Clinicians need thresholds for the Patient Acceptable Symptom State (PASS) and Treatment Failure to interpret group-based patient-reported outcome measures after anterior cruciate ligament (ACL) injury. Validated thresholds that are crucial for accurately discerning patient symptom state and facilitating effective interpretation have not been determined for long-term follow-up after ACL injury. Purpose: To calculate and validate thresholds for PASS and Treatment Failure for the International Knee Documentation Committee Subjective Knee Form (IKDC-SKF) and the Knee injury and Osteoarthritis Outcome Score (KOOS) subscales at the 10-year follow-up after ACL injury. Study Design: Cohort study; Level of evidence, 3. Methods: A total of 163 participants with unilateral ACL injury (treated with reconstruction or rehabilitation alone) from the Delaware-Oslo ACL Cohort were included. Thresholds for PASS were calculated for IKDC-SKF and KOOS subscales using anchor-based predictive modeling and receiver operating characteristic (ROC) analysis. Too few participants had self-reported Treatment Failure to calculate thresholds for that outcome. Nonparametric bootstrapping was used to derive 95% CIs. The criterion validity of the predictive modeling and ROC-derived thresholds were assessed by comparing actual patient-reported PASS outcome with the calculated PASS outcome for each method of calculation and calculating their positive and negative predictive values with respect to the anchor questions. Results: A total of 127 (78%) participants reported satisfactory symptom state. Predictive modeling PASS thresholds (95% CIs) were 76.2 points (72.1-79.4 points) for IKDC-SKF, 85.4 points (80.9-89.2 points) for KOOS Pain, 76.5 points (67.8-84.7 points) for KOOS Symptoms, 93.8 points (90.1-96.9 points) for KOOS activities of daily living, 71.6 points (63.4-77.7 points) for KOOS Sports, and 59.0 points (53.7-63.9 points) for KOOS quality of life (QoL). Predictive modeling thresholds classified 81% to 93% of the participants as having satisfactory symptom state, whereas ROC-derived thresholds classified >50% as unsatisfied. The thresholds for IKDC-SKF, KOOS Sports, and KOOS QoL resulted in the most accurate percentages of PASS among all identified thresholds and therefore demonstrate the highest validity. Conclusion: Predictive modeling provided valid PASS thresholds for IKDC-SKF and KOOS at the 10-year follow-up after ACL injury. The thresholds for IKDC-SKF, KOOS Sports, and KOOS QoL should be used when determining satisfactory outcomes. ROC-derived thresholds result in substantial misclassification rates of the participants who reported satisfactory symptom state.

Keywords

Patient Acceptable Symptom State, anterior cruciate ligament, interpretability, patient-reported outcomes, validity

Funders

  • National Institutes of Health
  • National Institute of General Medical Sciences

Data Provider: Elsevier