Bewick J, Morris S, Hopkins C, Erskine S, Philpott C M
James Paget University Hospital, Gorleston, UK.
University College London, London, UK.
Clin Otolaryngol. 2018 Feb;43(1):90-95. doi: 10.1111/coa.12903. Epub 2017 Jun 13.
Direct comparison of different diseases allows clinicians and researchers to place the burden of symptoms and impact on quality of life of each condition in context. Generic health-related quality-of-life assessment tools allow such analysis, and limited data are available for British patients with chronic rhinosinusitis.
As part of a larger feasibility study, patients underwent baseline assessment using the SNOT-22, SF-12 and EQ-5D-5L tools. Data were analysed using Microsoft Excel and algorithms available for the analysis of the later two tools. We plotted EQ-5D-5L VAS and utility scores and SF-12 MCS and PCS scores separately against SNOT-22 scores and quantified associations using bivariate ordinary least squares regression analysis.
Patients were prospectively recruited from six UK outpatient clinics.
Adult patients with chronic rhinosinusitis without nasal polyps (CRSsNPs).
Baseline SNOT-22, SF-12 and EQ-5D-5L scores.
Fifty-two adults were recruited with a mean age of 55 years, 51% were male. The mean SNOT-22 score was 43.82. Mental and physical component scores of the SF-12 were 46.53 and 46, respectively. Mean index score computed form the EQ-5D-5L was 0.75. Worse (higher) SNOT-22 scores were associated with lower EQ-5D-5L VAS and utility scores and SF-12 MCS and PCS scores.
The EQ-5D-5L suggests that British CRSsNPs patients are negatively impacted with regards to quality of life. We found the SF-12 to be less sensitive and conclude that the EQ-5D-5L tool is a quick and accessible method for assessing QOL in order it can be compared with other disease states.
对不同疾病进行直接比较，有助于临床医生和研究人员了解每种疾病的症状负担及其对生活质量的影响。通用的健康相关生活质量评估工具可用于此类分析，但针对英国慢性鼻窦炎患者的相关数据有限。
作为一项更大规模可行性研究的一部分，患者使用SNOT - 22、SF - 12和EQ - 5D - 5L工具进行基线评估。使用Microsoft Excel和可用于分析后两种工具的算法对数据进行分析。我们分别绘制了EQ - 5D - 5L视觉模拟量表（VAS）和效用得分以及SF - 12心理成分总结（MCS）和生理成分总结（PCS）得分与SNOT - 22得分的关系图，并使用双变量普通最小二乘法回归分析对关联进行量化。
从英国六个门诊诊所前瞻性招募患者。
无鼻息肉的慢性鼻窦炎成年患者（CRSsNP）。
基线SNOT - 22、SF - 12和EQ - 5D - 5L得分。
招募了52名成年人，平均年龄55岁，51%为男性。SNOT - 22平均得分为43.82。SF - 其心理和生理成分得分分别为46.53和46。从EQ - 5D - 5L计算得出的平均指数得分为0.75。更高的SNOT - 22得分与更低的EQ - 5D - 5L VAS和效用得分以及SF - 12 MCS和PCS得分相关。
EQ - 5D - 5L表明英国CRSsNP患者的生活质量受到负面影响。我们发现SF - 12的敏感性较低，并得出结论，EQ - 5D - 5L工具是一种快速且易于使用的生活质量评估方法，以便能够与其他疾病状态进行比较。
