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短期暴露于 PM、NO 和 O 污染与肾脏相关疾病的关联以及温度调整规范的作用:纽约州的病例交叉研究。

Associations between short-term exposure to PM, NO and O pollution and kidney-related conditions and the role of temperature-adjustment specification: A case-crossover study in New York state.

机构信息

Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, New Haven, CT, 06520-8034, USA; Yale Center on Climate Change and Health, Yale School of Public Health, 60 College Street, New Haven, CT, 06520-8034, USA.

Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, New Haven, CT, 06520-8034, USA; Yale Center on Climate Change and Health, Yale School of Public Health, 60 College Street, New Haven, CT, 06520-8034, USA.

出版信息

Environ Pollut. 2023 Jul 1;328:121629. doi: 10.1016/j.envpol.2023.121629. Epub 2023 Apr 11.

Abstract

Epidemiologic evidence on the relationship between air pollution and kidney disease remains inconclusive. We evaluated associations between short-term exposure to PM, NO and O and unplanned hospital visits for seven kidney-related conditions (acute kidney failure [AKF], urolithiasis, glomerular diseases [GD], renal tubulo-interstitial diseases, chronic kidney disease, dysnatremia, and volume depletion; n = 1,209,934) in New York State (2007-2016). We applied a case-crossover design with conditional logistic regression, controlling for temperature, dew point temperature, wind speed, and solar radiation. We used a three-pollutant model at lag 0-5 days of exposure as our main model. We also assessed the influence of model adjustment using different specifications of temperature by comparing seven temperature metrics (e.g., dry-bulb temperature, heat index) and five intraday temperature measures (e.g., daily mean, daily minimum, nighttime mean), according to model performance and association magnitudes between air pollutants and kidney-related conditions. In our main models, we adjusted for daytime mean outdoor wet-bulb globe temperature, which showed good model performance across all kidney-related conditions. We observed the odds ratios (ORs) for 5 μg/m increase in daily mean PM to be 1.013 (95% confidence interval [CI]: 1.001, 1.025) for AKF, 1.107 (95% CI: 1.018, 1.203) for GD, and 1.027 (95% CI: 1.015, 1.038) for volume depletion; and the OR for 5 ppb increase in daily 1-hour maximum NO to be 1.014 (95% CI; 1.008, 1.021) for AKF. We observed no associations with daily 8-hour maximum O exposure. Association estimates varied by adjustment for different intraday temperature measures: estimates adjusted for measures with poorer model performance resulted in the greatest deviation from estimates adjusted for daytime mean, especially for AKF and volume depletion. Our findings indicate that short-term exposure to PM and NO is a risk factor for specific kidney-related conditions and underscore the need for careful adjustment of temperature in air pollution epidemiologic studies.

摘要

有关空气污染与肾脏疾病之间关系的流行病学证据尚无定论。我们评估了短期暴露于 PM、NO 和 O 与纽约州(2007-2016 年)七种与肾脏相关的疾病(急性肾衰竭[AKF]、尿路结石、肾小球疾病[GD]、肾间质性疾病、慢性肾脏病、电解质紊乱和容量不足)的非计划性住院之间的关联。我们应用病例交叉设计和条件逻辑回归,控制温度、露点温度、风速和太阳辐射。我们使用暴露后 0-5 天的三污染物模型作为我们的主要模型。我们还通过比较七种温度指标(例如干球温度、热指数)和五种日内温度测量值(例如日平均、日最低、夜间平均),根据模型性能和空气污染物与肾脏相关疾病之间的关联程度,评估了不同温度规格调整模型的影响。在我们的主要模型中,我们调整了日间平均室外湿球温度,该温度在所有与肾脏相关的疾病中均表现出良好的模型性能。我们观察到,与每日平均 PM 增加 5μg/m 相关的比值比(OR)为 AKF 为 1.013(95%置信区间[CI]:1.001,1.025),GD 为 1.107(95% CI:1.018,1.203),容量不足为 1.027(95% CI:1.015,1.038);与每日 1 小时最大 NO 增加 5ppb 相关的 OR 为 AKF 为 1.014(95% CI;1.008,1.021)。我们未观察到与每日 8 小时最大 O 暴露相关的关联。与不同的日内温度测量值的调整相关的关联估计值存在差异:与模型性能较差的测量值进行调整的估计值导致与日间平均估计值的偏差最大,特别是对于 AKF 和容量不足。我们的研究结果表明,短期暴露于 PM 和 NO 是特定肾脏相关疾病的危险因素,并强调在空气污染流行病学研究中需要仔细调整温度。

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