Department of Anaesthesiology, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Waehringer Guertel 18-20/9i, 1090, Vienna, Austria.
NOTRUF NOE GmbH, St. Poelten, Austria.
Wien Klin Wochenschr. 2022 Apr;134(7-8):324-331. doi: 10.1007/s00508-021-01856-5. Epub 2021 Apr 26.
Knowledge about longitudinal changes in epidemiological data at mass gathering events is sparse. The goal of this study was to determine and compare the type, severity and frequency of illnesses at a large music festival over 7 consecutive years (2011-2017).
Prospectively collected data from the rescue operation protocols of an Austrian music festival were retrieved and analyzed. Patient presentation rates (PPR) and transport to hospital rates (TTHR) were calculated and compared between years. Linear regression was used to investigate the association between (a) total number of visitors and number of patient presentations, and (b) environmental factors and temperature related medical emergencies. A descriptive analysis of pertinent medical logistics management was performed.
The median (minimum to maximum) PPR and TTHR were 12.01 (9.33 in 2016 to 20.86 in 2011) and 0.57 (0.40 in 2017 to 1.06 in 2013) per 1000 visitors, respectively. In linear regression models, no significant associations were found between the number of visitors and either the total number of patient presentations, NACA 1-2 or NACA 3-5 classified emergencies. Environmental temperature had a significant impact on heat related patient presentations (p < 0.001).
There were significant differences and a high variance in both PPR and TTHR over the years. Contrary to our expectations, the number of visitors did not predict the number of patient presentations. Ambient temperature was associated with the number of heat related emergencies but not with the number of cold related emergencies. Prevention strategies, such as the removal of insect nests, resulted in significantly fewer insect related emergencies.
关于大型集会活动中流行病学数据的纵向变化的知识很少。本研究的目的是确定和比较一个大型音乐节 7 年来(2011-2017 年)疾病的类型、严重程度和频率。
从奥地利音乐节的救援行动方案中收集前瞻性数据,并进行分析。计算了每年的就诊率(PPR)和转院率(TTHR),并进行了比较。使用线性回归分析(a)总游客人数和就诊人数之间的关系,以及(b)环境因素与与温度相关的医疗紧急情况之间的关系。对相关医疗后勤管理进行了描述性分析。
就诊率(PPR)和转院率(TTHR)的中位数(最小值到最大值)分别为 12.01(2016 年的 9.33 至 2011 年的 20.86)和 0.57(2017 年的 0.40 至 2013 年的 1.06)每 1000 名游客。在线性回归模型中,游客人数与就诊总人数、NACA 1-2 或 NACA 3-5 级分类的紧急情况之间没有显著的关联。环境温度对与热相关的就诊人数有显著影响(p<0.001)。
就诊率(PPR)和转院率(TTHR)多年来均有显著差异且变化较大。与我们的预期相反,游客人数并不能预测就诊人数。环境温度与与热相关的紧急情况数量有关,但与与冷相关的紧急情况数量无关。预防策略,如清除虫巢,导致与昆虫相关的紧急情况明显减少。