Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery · 2022
A cross-sectional analysis of facial palsy-related quality of life in 125 patients: Comparing linear, quadratic and cubic regression analyses.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Verhoeff Rucháma, Bruins Tessa E, Ingels Koen J A O, Werker Paul M N, van Veen Martinus M
Аннотация
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 R2 =.346, quadratic R2 = .378, p = .033) and the FDI physical score (linear R2 = .245, quadratic R2 =.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.
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 R2 =.346, quadratic R2 = .378, p = .033) and the FDI physical score (linear R2 = .245, quadratic R2 =.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.