Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Digital Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan; Department of Hospital Administration, Juntendo University Graduate School of Medicine, Tokyo, Japan; AI Incubation Farm, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan; Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
Allergol Int. 2023 Jul;72(3):418-427. doi: 10.1016/j.alit.2023.01.001. Epub 2023 Feb 3.
Multidisciplinary efforts to prospectively collect and analyze symptoms of hay fever are limited. We aimed to identify the characteristics of nasal and ocular symptoms of hay fever, using the AllerSearch smartphone application.
This mobile health-based prospective observational study using the AllerSearch smartphone application was conducted between February 1, 2018, and May 1, 2020. Individuals who downloaded AllerSearch from Japan and provided comprehensive self-assessments (including 17 items related to quality of life [QoL]-related items) were included. The characteristics and risk factors for allergic rhinitis (AR) and allergic conjunctivitis (AC) were identified using hierarchical heat maps and multivariate logistic regression.
Of the 9041 participants with hay fever, 58.8% had AR and AC, 22.2% had AR, and 5.7% had AC. The AR-AC comorbid cohort showed worse symptoms of hay fever and QoL scores than the other cohorts. Factors (odds ratio, 95% confidence interval) associated with AR-AC included a lower age (0.98, 0.97-0.98), female sex (1.31, 1.19-1.45), liver disease (1.58, 1.26-2.35), dry eye disease (1.45, 1.30-1.63), unknown dry eye disease status (1.46, 1.31-1.62), contact lens use discontinuation during the hay fever season (1.69, 1.28-2.23), and bedroom flooring material other than hardwood, carpet, tatami, or vinyl (1.91, 1.16-3.14).
Analysis of medical big data for hay fever performed using a mobile health app helped identify risk factors and characteristics of AC, AR, and AR-AC. Phenotyping of highly variable symptoms of hay fever, such as nasal and ocular symptoms, can facilitate better-quality clinical care.
多学科努力前瞻性收集和分析花粉热症状的工作有限。我们旨在使用 AllerSearch 智能手机应用程序确定花粉热的鼻和眼部症状特征。
这项基于移动健康的前瞻性观察性研究使用 AllerSearch 智能手机应用程序于 2018 年 2 月 1 日至 2020 年 5 月 1 日进行。从日本下载 AllerSearch 并提供全面自我评估（包括 17 项与生活质量 [QoL] 相关的项目）的个人被纳入研究。使用分层热图和多变量逻辑回归确定过敏性鼻炎 (AR) 和过敏性结膜炎 (AC) 的特征和危险因素。
在 9041 名花粉热患者中，58.8%同时患有 AR 和 AC，22.2%患有 AR，5.7%患有 AC。AR-AC 共病队列的花粉热症状和生活质量评分均比其他队列差。与 AR-AC 相关的因素（比值比，95%置信区间）包括年龄较低（0.98，0.97-0.98）、女性（1.31，1.19-1.45）、肝病（1.58，1.26-2.35）、干眼症（1.45，1.30-1.63）、未知干眼症状态（1.46，1.31-1.62）、花粉热季节停止使用隐形眼镜（1.69，1.28-2.23）和卧室地板材料不是硬木、地毯、榻榻米或乙烯基（1.91，1.16-3.14）。
使用移动健康应用程序对花粉热进行的医疗大数据分析有助于确定 AC、AR 和 AR-AC 的危险因素和特征。对花粉热等高度可变症状（如鼻和眼部症状）进行表型分析可以促进更好的临床护理。
