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“过敏的鼻子作为花粉探测器”概念:电子日记预测花粉趋势。

The "allergic nose as a pollen detector" concept: e-Diaries to predict pollen trends.

机构信息

Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.

出版信息

Pediatr Allergy Immunol. 2023 Jun;34(6):e13966. doi: 10.1111/pai.13966.

DOI:10.1111/pai.13966
PMID:37366207
Abstract

Hirst pollen traps and operator pollen recognition are worldwide used by aerobiologists, providing essential services for the diagnosis and monitoring of allergic patients. More recently, semiautomated or fully automated detector systems have been developed, which facilitate prediction of pollen exposure and risk for the individual patient. In parallel, smartphone apps consisting of short questionnaires filled in daily by the patient/user provide daily scores, time trajectories, and descriptive reports of the severity of respiratory allergies in patients with pollen allergy. The usual scientific and clinical approach to this matter is to monitor the environment (pollen concentration) in order to predict the risk of symptoms (allergic rhinitis) in a population. We discuss here the opposite, contraintuitive possibility, that is, the use of e-diaries to collect daily information of mono-sensitized pollen-allergic patients in order to predict the clinically efficient airborne exposure to a given pollen, area, and time period. In line with the "Patient as Sensor" concept, proposed in 2013 by Bernd Resch, the "allergic nose" may be used as a pollen detector in addition to existing calibrated hardware sensors, namely the pollen stations, thus contributing with individual measurements, sensations, and symptoms' perception. The target of this review is to present a novel concept of pollen monitoring based on "pollen-detector" patients to inspire future cooperative studies aimed at investigating and hopefully validating our hypothesis.

摘要

希尔斯花粉陷阱和操作人员花粉识别已被空气生物学家长期用于世界各地,为过敏患者的诊断和监测提供了必要的服务。最近,已经开发出半自动或全自动检测系统,这有助于预测个体患者的花粉暴露和风险。与此同时,由患者/用户每天填写的简短问卷组成的智能手机应用程序为花粉过敏患者的呼吸过敏严重程度提供了日常评分、时间轨迹和描述性报告。对此问题的通常科学和临床方法是监测环境(花粉浓度)以预测人群中症状(过敏性鼻炎)的风险。我们在这里讨论了相反的、违反直觉的可能性,即使用电子日记来收集单敏花粉过敏患者的日常信息,以预测在给定花粉、区域和时间段内的临床有效空气传播暴露。根据 Bernd Resch 于 2013 年提出的“患者作为传感器”的概念,“过敏鼻子”除了现有的校准硬件传感器(即花粉站)之外,还可以用作花粉探测器,从而提供个体测量、感觉和症状感知。这篇综述的目的是提出一种基于“花粉探测器”患者的新型花粉监测概念,以激发未来旨在调查和希望验证我们假设的合作研究。

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