KOOS vs. KS-F after TKA

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Knee Society Function Score versus Knee Injury and Osteoarthritis Outcome Score after Total Knee Arthroplasty

Appendix A

Responsiveness characterizes the ability of a measure to change over a pre-specified time frame or as it relates to a corresponding change in a reference measure (i.e pre- and post-operation). Thus, when evaluating different outcome tools for responsiveness, the “bigger is better” rule applies. Highly responsive scales are preferred as fewer patients are needed to have high statistical power in clinical trials and smaller changes in outcomes can be detected more easily [3,6,7,16].

Responsiveness is widely measured using Standardized Response Mean (SRM), which is calculated as the mean change in scores divided by the standard deviation of the change in scores (SRM = mean(Δ scores)/SD(Δ scores)). A higher SRM indicates a more responsive outcome tool. The range of SRM for validated orthopedic instruments is 0.9-1.9 [9]. Newer studies have further stratified effect size, with 1.2-2.0 being a large effect, 2.0-4.0 very large, and greater than 4.0 “nearly perfect” [11].Pain response SRMs up to 0.5 have been seen in placebo groups. Large responses (SRMs ≥1.0) would be expected for surgical interventions such as a TKA[8].Because there is typically a large improvement in patient function after TKA, using an outcome tool that has a higher responsiveness allows for a more accurate comparison of outcome tools when evaluating different implants or surgical techniques. Responsiveness is designed to evaluate change and if a patient does not improve the evaluation of a tool’s responsiveness will be inaccurate [9], therefore patients who had scores that did not change or who had scores that decreased should be removed from the cohort when evaluating an outcome tool’s responsiveness.

The ceiling effect means that the variance in an independent variable is not measured or estimated above a certain level (i.e. the maximum possible score). If a ceiling effect is present in an outcome tool, a difference in outcomes between patients may not be able to be measured. If more than one-third of the patients achieve the top score after an intervention, either the intervention is extremely effective or the tool for measuring the intervention does not fully evaluate the patient’s outcome. Thus, an outcome tool that has one-third or more of the patients reaching the top score is undesirable [1].

Validity is the extent to which an outcome tool accurately measures the intended outcome (i.e. does the study scientifically answer the questions it intended to answer). The KS-F and KOOS have been validated to measure outcomes after TKA in several previous studies [5, 10, 12-14].The KOOS is also validated to measure outcomes after ACL reconstruction and cartilage repair [2, 4, 15], and has been used for evaluation in patients with tibial osteotomy and menisectomy as well [13].

KOOS vs. KS-F after TKA

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References

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