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评估环境温度、住院人数和血液透析患者死亡率之间的近因中间变量。

Assessing proximate intermediates between ambient temperature, hospital admissions, and mortality in hemodialysis patients.

机构信息

Maryland Institute for Applied Environmental Health, University of Maryland-College Park, School of Public Health, College Park, MD, USA.

Department of Epidemiology and Biostatistics, University of Maryland-College Park, School of Public Health, College Park, MD, USA.

出版信息

Environ Res. 2022 Mar;204(Pt B):112127. doi: 10.1016/j.envres.2021.112127. Epub 2021 Sep 25.

Abstract

BACKGROUND

Typical thermoregulatory responses to elevated temperatures among healthy individuals include reduced blood pressure and perspiration. Individuals with end-stage kidney disease (ESKD) are susceptible to systemic fluctuations caused by ambient temperature changes that may increase morbidity and mortality. We investigated whether pre-dialysis systolic blood pressure (preSBP) and interdialytic weight gain (IDWG) can independently mediate the association between ambient temperature, all-cause hospital admissions (ACHA), and all-cause mortality (ACM).

METHODS

The study population consisted of ESKD patients receiving hemodialysis treatments at Fresenius Medical Care facilities in Philadelphia County, PA, from 2011 to 2019 (n = 1981). Within a time-to-event framework, we estimated the association between daily maximum dry-bulb temperature (TMAX) and, as separate models, ACHA and ACM during warmer calendar months. Clinically measured preSBP and IDWG responses to temperature increases were estimated using linear mixed effect models. We employed the difference (c-c') method to decompose total effect models for ACHA and ACM using preSBP and IDWG as time-dependent mediators. Covariate adjustments for exposure-mediator and total and direct effect models include age, race, ethnicity, blood pressure medication use, treatment location, preSBP, and IDWG. We considered lags up to two days for exposure and 1-day lag for mediator variables (Lag 2-Lag 1) to assure temporality between exposure-outcome models. Sensitivity analyses for 2-day (Lag 2-only) and 1-day (Lag 1-only) lag structures were also conducted.

RESULTS

Based on Lag 2- Lag 1 temporal ordering, 1 °C increase in daily TMAX was associated with increased hazard of ACHA by 1.4% (adjusted hazard ratio (HR), 1.014; 95% confidence interval, 1.007-1.021) and ACM 7.5% (adjusted HR, 1.075, 1.050-1.100). Short-term lag exposures to 1 °C increase in temperature predicted mean reductions in IDWG and preSBP by 0.013-0.015% and 0.168-0.229 mmHg, respectively. Mediation analysis for ACHA identified significant indirect effects for all three studied pathways (preSBP, IDWG, and preSBP + IDWG) and significant indirect effects for IDWG and conjoined preSBP + IDWG pathways for ACM. Of note, only 1.03% of the association between temperature and ACM was mediated through preSBP. The mechanistic path for IDWG, independent of preSBP, demonstrated inconsistent mediation and, consequently, potential suppression effects in ACHA (-15.5%) and ACM (-6.3%) based on combined pathway models. Proportion mediated estimates from preSBP + IDWG pathways achieved 2.2% and 0.3% in combined pathway analysis for ACHA and ACM outcomes, respectively. Lag 2 discrete-time ACM mediation models exhibited consistent mediation for all three pathways suggesting that 2-day lag in IDWG and preSBP responses can explain 2.11% and 4.41% of total effect association between temperature and mortality, respectively.

CONCLUSION

We corroborated the previously reported association between ambient temperature, ACHA and ACM. Our results foster the understanding of potential physiological linkages that may explain or suppress temperature-driven hospital admissions and mortality risks. Of note, concomitant changes in preSBP and IDWG may have little intermediary effect when analyzed in combined pathway models. These findings advance our assessment of candidate interventions to reduce the impact of outdoor temperature change on ESKD patients.

摘要

背景

健康个体对高温的典型体温调节反应包括血压降低和出汗。终末期肾病(ESKD)患者易受到环境温度变化引起的全身波动的影响,这可能会增加发病率和死亡率。我们研究了预透析收缩压(preSBP)和透析间体重增加(IDWG)是否可以独立介导环境温度、全因住院(ACHA)和全因死亡率(ACM)之间的关联。

方法

研究人群包括 2011 年至 2019 年在宾夕法尼亚州费城县弗雷森纽斯医疗保健设施接受血液透析治疗的 ESKD 患者(n=1981)。在时间事件框架内,我们估计了每日最大干球温度(TMAX)与更温暖的日历月期间 ACHA 和 ACM 之间的关联。使用线性混合效应模型估计临床测量的 TMAX 升高时的 preSBP 和 IDWG 反应。我们采用差异(c-c')方法,使用 preSBP 和 IDWG 作为时间依赖性中介,对 ACHA 和 ACM 的总效应模型进行分解。暴露-中介和总效应和直接效应模型的协变量调整包括年龄、种族、民族、血压药物使用、治疗地点、preSBP 和 IDWG。我们考虑了暴露和中介变量的最大两天滞后(Lag 2-Lag 1),以确保暴露-结果模型之间的时间关系。还进行了 2 天(仅 Lag 2)和 1 天(仅 Lag 1)滞后结构的敏感性分析。

结果

根据 Lag 2-Lag 1 的时间顺序,每日 TMAX 增加 1°C 与 ACHA 的风险增加 1.4%(调整后的危险比(HR),1.014;95%置信区间,1.007-1.021)和 ACM 的风险增加 7.5%(调整后的 HR,1.075,1.050-1.100)相关。短期滞后暴露于 1°C 的温度升高预测 IDWG 和 preSBP 分别减少 0.013-0.015%和 0.168-0.229mmHg。ACHA 的中介分析确定了所有三种研究途径(preSBP、IDWG 和 preSBP+IDWG)的显著间接效应,以及 IDWG 和联合 preSBP+IDWG 途径的显著间接效应 ACM。值得注意的是,体温与 ACM 之间的关联只有 1.03%是通过 preSBP 介导的。IDWG 的机械途径,独立于 preSBP,显示出不一致的中介作用,因此,在 ACHA(-15.5%)和 ACM(-6.3%)的综合途径模型中存在潜在的抑制作用。基于联合途径模型,preSBP+IDWG 途径的比例介导估计值分别达到了 ACHA 和 ACM 结果的 2.2%和 0.3%。离散时间 ACM 中介模型显示所有三种途径的一致中介作用,表明 IDWG 和 preSBP 反应的 2 天滞后可以分别解释温度与死亡率之间总效应关联的 2.11%和 4.41%。

结论

我们证实了先前报道的环境温度、ACHA 和 ACM 之间的关联。我们的结果促进了对潜在生理联系的理解,这些联系可能解释或抑制与温度相关的住院和死亡率风险。值得注意的是,在联合途径模型中分析时,preSBP 和 IDWG 的同时变化可能没有中间效应。这些发现推进了我们对候选干预措施的评估,以减少户外温度变化对 ESKD 患者的影响。

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