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Susceptibility to Heat-Related Fluid and Electrolyte Imbalance Emergency Department Visits in Atlanta Georgia USA

机译:与热有关的流体和电解质失衡的敏感性急诊室访问美国乔治亚州亚特兰大

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摘要

Identification of populations susceptible to heat effects is critical for targeted prevention and more accurate risk assessment. Fluid and electrolyte imbalance (FEI) may provide an objective indicator of heat morbidity. Data on daily ambient temperature and FEI emergency department (ED) visits were collected in Atlanta, Georgia, USA during 1993–2012. Associations of warm-season same-day temperatures and FEI ED visits were estimated using Poisson generalized linear models. Analyses explored associations between FEI ED visits and various temperature metrics (maximum, minimum, average, and diurnal change in ambient temperature, apparent temperature, and heat index) modeled using linear, quadratic, and cubic terms to allow for non-linear associations. Effect modification by potential determinants of heat susceptibility (sex; race; comorbid congestive heart failure, kidney disease, and diabetes; and neighborhood poverty and education levels) was assessed via stratification. Higher warm-season ambient temperature was significantly associated with FEI ED visits, regardless of temperature metric used. Stratified analyses suggested heat-related risks for all populations, but particularly for males. This work highlights the utility of FEI as an indicator of heat morbidity, the health threat posed by warm-season temperatures, and the importance of considering susceptible populations in heat-health research.
机译:识别易受热影响的人群对于有针对性的预防和更准确的风险评估至关重要。流体和电解质不平衡(FEI)可能是热发病率的客观指标。在1993年至2012年期间,收集了美国佐治亚州亚特兰大市的每日环境温度和FEI急诊室(ED)的就诊数据。使用泊松广义线性模型估算了暖季当天温度和FEI ED访视的关联。分析探索了FEI ED访问与各种温度指标(环境温度,表观温度和热指数的最大,最小,平均和昼夜变化)之间的关联,这些指标使用线性,二次和三次项建模,以实现非线性关联。通过分层评估了热敏感性的潜在决定因素(性别;种族;合并性充血性心力衰竭,肾脏疾病和糖尿病;以及邻里贫困和教育水平)对效果的影响。无论使用何种温度指标,较高的暖季环境温度都与FEI ED的就诊次数显着相关。分层分析表明,所有人群,尤其是男性,都存在与热有关的风险。这项工作强调了FEI作为热发病率指标,暖季温度对健康的威胁以及在热健康研究中考虑易感人群的重要性的实用性。

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