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Introduction: Facial function correlates with quality of life in facial palsy. Previous studies have examined a linear relationship; based on clinical experience, we hypothesize a curved regression (i.e. quadratic or cubic) will be more fitting to show the correlation between quality of life and facial function., Methods: We compared the fit of a linear regression model between Sunnybrook scores (facial function) and FaCE and FDI scores (quality of life) to a quadratic and cubic regression model in 125 patients cross-sectionally., Results: A total of 125 patients were included, 53.6% female with a mean (standard deviation) age of 56.6 (16.7) and a median (interquartile range) duration of palsy of 6.6 (1.5; 18.3) years. The quadratic regression proved a significant improvement over a linear regression analysis in the model using the FaCE total score (linear R 2 =.346, quadratic R 2 = .378, p = .033) and the FDI physical score (linear R 2 = .245, quadratic R 2 =.276, p = .034). The cubic regression analysis was no significant improvement over a quadratic regression., Discussion: The relationship between facial function and quality of life in facial palsy is not linear meaning that there is a lot of variation in QoL in cases with severe and moderate facial impairment. This is most applicable to patients suffering from post-paralysis synkinesis, proving the highly individually experienced burden of synkinesis. As the relationship is not linear it should not be included as such in future research studies., (© 2022 John Wiley & Sons Ltd.)

Objective(s): To interpret change in quality-of-life scores in facial palsy patients by calculating the smallest detectable change (SDC) and minimal important change (MIC) for the Facial Disability Index (FDI), Facial Clinimetric Evaluation (FaCE) scale, and Synkinesis Assessment Questionnaire (SAQ). Materials and Methods: The SDC, for individuals and groups, was calculated using previously collected test-retest data (2-week interval). The MIC (predictive modeling method) was calculated in a second similar facial palsy population using two measurements (1-1.5-year interval) and an anchor question assessing perceived change. Results: SDC individual of FaCE was 17.6 and SAQ was 28.2. SDC group of FaCE was 2.9 and SAQ was 4.6 ( n  = 62). Baseline FaCE and SAQ scores were 43.3 (interquartile range [IQR]: 35.8;55.0) and 51.1 (IQR: 32.2;60.0), respectively. MIC for important improvement of FDI physical/social function, FaCE total, and SAQ total were 4.4, 0.4, 0.7, and 2.8, respectively ( n  = 88). MIC for deterioration was 8.2, -1.8, -8.5, and 0.6, respectively. Baseline scores were 70.0 (IQR: 60.0;80.0), 76.0 (68.0;88.0), 55.0 (IQR: 40.0;61.7), and 26.7 (IQR: 22.2;35.6), respectively. Number of participants reporting important change for the different questionnaires ranged from 3 to 23 per subscale. Conclusion: Interpreting change scores of the FDI, FaCE, and SAQ is appropriate for groups, but for individual patients it is limited by a substantial SDC.