Farhoodi Saeed, Kang Insung, Zeng Yicheng, Jagota Kaveeta, Karpen Nancy, Heidarinejad Mohammad, Elfessi Zane, Rubinstein Israel, Stephens Brent
Department of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Alumni Memorial Hall Room 228, 3201 South Dearborn Street, Chicago, IL 60616, USA.
Department of Civil Engineering, University of Texas at Arlington, Arlington, TX 76019, USA.
Environ Sci Process Impacts. 2025 Jun 18;27(6):1495-1503. doi: 10.1039/d4em00648h.
There is an increasing number of randomized clinical trials intended to assess the effectiveness of indoor air cleaners for improving participant outcomes in real-world settings. In this communication, we synthesize the current state of registered air cleaner intervention trials and call attention to the critical importance of conducting measurements to characterize the performance and utilization of air cleaners in such trials to improve interpretation of exposure measurements and patient outcomes. We draw upon the existing literature and preliminary findings from our ongoing one-year, randomized, single-blind, placebo-controlled case-control trial of stand-alone air filtration in the homes of U.S. military Veterans to inform our recommendations. We demonstrate how to conduct industry-standard performance testing and how to use long-term measurements of air cleaner power draw to assess air cleaner operation. In our analysis of interim data from 53 homes to date with a mean data collection period of 275 days, we found that most air cleaners, whether active or sham, were operated predominantly at low or medium fan speeds, and most participants operated their air cleaner on predominantly one fan speed. In a few homes, air cleaners were mostly off. We estimate that air cleaner operation in these homes is providing a median additional equivalent particle loss rate of ∼0.7/h (ranging ∼0-2.8/h). Accordingly, we recommend that air cleaner intervention trials adopt the steps described herein to account for the amount of clean air delivered in real-world settings and to provide important context alongside indoor exposure measurements and analysis of patient outcomes.
越来越多的随机临床试验旨在评估室内空气净化器在实际环境中改善参与者健康状况的有效性。在本通讯中,我们综合了已注册的空气净化器干预试验的现状,并提请注意在这类试验中进行测量以表征空气净化器的性能和使用情况的至关重要性,以便改进对暴露测量和患者健康状况的解读。我们借鉴现有文献以及我们正在进行的一项为期一年的随机、单盲、安慰剂对照病例对照试验的初步结果,该试验在美国退伍军人家庭中进行独立空气过滤,以形成我们的建议。我们展示了如何进行行业标准的性能测试以及如何利用对空气净化器电力消耗的长期测量来评估空气净化器的运行情况。在我们对迄今来自53个家庭的中期数据的分析中,平均数据收集期为275天,我们发现大多数空气净化器,无论是有源的还是 sham的,主要以低或中风扇速度运行,并且大多数参与者主要以一种风扇速度运行他们的空气净化器。在少数家庭中,空气净化器大多处于关闭状态。我们估计这些家庭中的空气净化器运行提供的额外等效颗粒损失率中位数约为0.7/小时(范围约为0 - 2.8/小时)。因此,我们建议空气净化器干预试验采用本文所述的步骤,以考虑实际环境中输送的清洁空气量,并在室内暴露测量和患者健康状况分析的同时提供重要背景信息。