空气污染与年龄:老年人受影响更大吗?

S. Cournane, D. Byrne, R. Conway, D. O’Riordan, B. Silke
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摘要

背景:众所周知,空气质量会加重心肺疾病。这项工作的目的是检查空气污染、潜在疾病和年龄对住院30天死亡率结果的影响程度。方法:研究2002年至2018年爱尔兰都柏林圣詹姆斯医院(St. James’s Hospital, Dublin, Ireland)所有急诊入院患者(58,126例患者113,807次)和入院当天的颗粒物(PM10)水平;我们确定了老年人(≥70岁)的30天死亡率结局,以及结局是否有条件地依赖于潜在疾病严重程度或合并症评分。我们采用logistic多变量回归模型来计算pm10对其他预测因子调整后结果的影响。结果:pm10水平随时间下降;2010年之前的日中位数为15.8 μg/m3(四分位数差[IQR]: 12.1、21.0),之后的年为11.5 μg/m3 (IQR: 8.3、15.7)。入院当天较高的pm10水平预示着更差的30天死亡率——70岁以上患者的优势比为1.09(95%可信区间:1.05,1.2),而对于年轻患者,这一优势比不显著。PM对预后的影响似乎主要局限于老年人;在Q1中位数为7.5 μg/m3时,pm10五分位数增加的模型预测死亡率为10.8%,而Q5中位数为29.3 μg/m3时,模型预测死亡率为15.0%。老年人和年轻人之间结果差异的解释可能在于计算出的合并症和疾病严重程度评分,随着年龄的增长,在数量上明显更严重。结论:入院当天的pm10水平预示着住院30天内死亡风险的增加,老年患者更容易受到恶劣空气质量的影响。对老年人的不成比例的影响可能是由于他们的伴随疾病严重程度和合并症评分较高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Air pollution and age: Do older persons suffer more?
Background: Air quality is known to aggravate cardiopulmonary disease. The aim of this work was to examine the extent to which air pollution, underlying illness, and age influenced 30-day inhospital mortality outcomes. Methods: All emergency medical admissions, between 2002 and 2018, to St. James's Hospital, Dublin, Ireland (113,807 episodes in 58,126 patients) and particulate matter (PM10) level on the day of admission were studied; we determined 30-day mortality outcomes for older (≥70 years) persons and whether outcomes were conditionally dependent on the underlying illness severity or comorbidity score. We employed a logistic multiple variable regression model to calculate PM10influence on the outcome adjusted for other predictors. Results: PM10levels fell over time; the daily median was 15.8 μg/m3 (interquartile ranges [IQR]: 12.1, 21.0) prior to 2010 but 11.5 μg/m3 (IQR: 8.3, 15.7) in subsequent years. A higher admission day PM10level predicted a worse 30-day mortality – odds ratios 1.09 (95% confidence intervals: 1.05, 1.2) for those >70 years, while for younger patients, this was not significant. The influence of PM on outcomes appeared largely confined to older persons; comparisons between increasing PM10quintiles with Q1 median values of 7.5 μg/m3 had a model predicted mortality of 10.8% but 15.0% at Q5 median values of 29.3 μg/m3. An explanation for such difference in outcomes between older and younger may lie in the computed comorbidity and illness severity scores that were quantitatively markedly more severe with advancing age. Conclusion: PM10levels on the day of admission predicted an increased 30-day in hospital mortality risk, with older patients identified to be more susceptible to poor air quality. The disproportionate impact on older persons may be due to their higher concomitant illness severity and comorbidity scores.
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