Rich David Q, Peters Annette, Schneider Alexandra, Zareba Wojciech, Breitner Susanne, Oakes David, Wiltshire Jelani, Kane Cathleen, Frampton Mark W, Hampel Regina, Hopke Philip K, Cyrys Josef, Utell Mark J
Res Rep Health Eff Inst. 2016 May(186):5-75.
Previous studies have examined changes in heart rate variability (HRV*) and repolarization associated with increased particulate matter (PM) concentrations on the same and previous few days. However, few studies have examined whether these health responses to PM occur within a few hours or even less. Moreover, it is not clear whether exposure of subjects to ambient or-controlled PM concentrations both lead to similar health effects or whether any of the subjects' individual characteristics modify any of their responses to PM. The aims of the cur- rent study were to investigate whether exposure to PM was associated with rapid changes (< 60 minutes or con- current hour up to a delay of 6 hours) in markers of car- diac rhythni or changes in total antioxidant capacity (a marker of protection against oxidative stress) and whether any PM effects on cardiac rhythm markers were modified by total antioxidant capacity, age, obesity, smoking, hypertension, exertion, prior myocardial infarction (MI), or medication.
We obtained data from a completed study in Augsburg, Germany (a panel study in N= 109 subjects, including a group with type 2 diabetes or impaired glucose tolerance [IGT; also known as prediabetes]) and a group of other- wise healthy subjects with a potential genetic susceptibil- ity to detoxifying and inflammatory pathways (Hampel et al. 2012b), as well as three completed studies in Rochester, New York (the REHAB panel study of N= 76 postinfarction patients in a cardiac rehabilitation pro- gram [Rich et al. 2012b]; the UPDIABETES study of con- trolled exposure to ultrafine particles [UFPs, particles with an aerodynamic diameter < 100 nm] of N = 19 patients with type 2 diabetes [Stewart et al. 2010; Vora et al. 2014j; and the UPCON controlled-exposure study of concentrated UFP exposure in N = 20 young, healthy, life- time nonsmokers). Data included 5-minute and 1-hour values for HRV and repolarization parameters from elec- trocardiogram (ECG) recordings and total antioxidant capacity measured in stored blood samples. Ambient con- centrations of UFPs, accumulation-mode particles (AMP, particles with an aerodynamic diameter of 100-500 nm), fine PM (PM2.5, particles with an aerodynamic diameter 2.5 pm), and black carbon (BC) were also available. We first conducted factor analyses in each study to find subgroups of correlated ECG outcomes and to reduce the number of outcomes examined in our statistical models. We then restricted the statistical analyses to the factors and representative.outcomes that were common to all four studies, including total HRV (measured as the standard deviation of normal-to-normal [NN] beat intervals [SDNNj), parasympathetic modulation (measured as the root mean square of the successive differences [RMSSD between adjacent NN beat intervals), and T-wave morphol- ogy (measured as T-wave complexity). Next, we used addi- tive mixed models to estimate the change in each outcome associated with increased pollutant concentrations in the . concurrent and previous 6 hours and with 5-minute inter- vals up to the previous 60 minutes, accounting for the correlation of repeated outcome measures for each subject and adjusting for time trend, hour of the day, temperature, relative humidity, day of the week, month, and visit number. Because multiple comparisons were an issue in our. analyses, we used a discovery-and-replication approach to draw conclusions across studies for each research question.
In the Augsburg study, interquartile range (IQR) increases in UFP concentrations lagged 2 to 5 hours were associated with 1%-3% decreases in SDNN (e.g., lagged 3 hours in the group with a genetic susceptibility: -2.26%; 95% confidence interval [CI], -3.98% to -0.53%). In the REHAB study, similarly, IQR increases in UFP concentra- tions in the previous 5 hours were associated with < 3% decreases in SDNN (e.g., lagged 1 hour: -2.69%; 95% CI, -5.13% to -0.26%). We also found decreases in SDNN associated with IQR increases in total particle count-(a surrogate for UFP) in the UPDIABETES study (lagged 1 hour: -13.22%; 95% CI, -24.11% to -2.33%) but not in the UPCON study. In the Augsburg study, IQR increases in PM2.5 concen- trations in the concurrent hour and lagged 1-5 hours, AMP concentrations lagged 1 and 3 hours, and BC con- centrations lagged 1-5 hours were associated with -1%-5% decreases in SDNN (e.g., PM2.5 lagged 2 hours in the group with diabetes or IGT: -4.59%; 95% CI, -7.44% to -1.75%). In the REHAB study, IQR increases in PM2.5 concentrations lagged 5 and 6 hours and AMP concentra- tions in the concurrent hour and lagged up to 5 hours were associated with 1%-2% decreases in SDNN (e.g., PM2.5 lagged 4 hours: -2.13%; 95% CI, -3.91% to -0.35%). In the Augsburg study, IQR increases in PM2.5 concen- trations in the concurrent hour and BC lagged 1 and 6 hours were associated with 3%-7% decreases in RMSSD (e.g., PM2.5 concurrent hour in the group with diabetes or IGT: -7.20%; 95% CI, -12.11% to -2.02%). In the REHAB study, similarly, increases in PM2.5 concen- trations lagged 4 to 6 hours-though not AMP or BC con- centrations at any lag hour-were associated with -2.5%-3.5% decreases in RMSSD (e.g., PM2.5 lagged 5 hours: -3.49%; 95% CI, -6.13% to -0.84%). We did not find consistent evidence of any pollutant effects on T-wave complexity in 1-hour recordings. For 5-minute record- ings, there was no consistent evidence of UFP effects on SDNN, RMSSD, or T-wave complexity at any 5-minute interval within 60 minutes. We further concluded that these replicated hourly effects of UFP and PM2.5 on short-term measures of SDNN and RMSSD generally did not differ between the groups in the studies (i.e., type 2 diabetes, pre-diabetes/IGT, post- infarction, and healthy subjects). Last, we found no con- sistent evidence of effects of any pollutant on total anti- oxidant capacity and no consistent evidence of modification of our PM2.5-outcome associations by any of the potential effect modifiers.
Increased UFP concentrations were associated with decreased SDNN in both of the panel studies and one of the two controlled-exposure studies. We also found that decreased SDNN was associated with both increased PM2.5 and AMP concentrations in the previous 6 hours in the panel studies and that decreased RMSSD was associ- ated with increased PM2.5 concentrations in the previous 6 hours in the panel studies. We therefore concluded that the research questions were replicated. Our findings suggest that both UFPs and PM2.5 are associated with autonomic dysfunction within hours of exposure, which may in part. explain the previously reported risk of acute cardiovascular events associated with increased PM in the previous few hours. Despite the heterogeneity of the study populations,and protocols, our findings provided consistent evidence for the induction of rapid pathophysiological responses by UFPs and PM2.5- The absence of consistent associations between UFPs, PM2.5, and these outcomes when examining shorter time intervals indicates that the 5- to 60-minute responses may be less pronounced than the responses occurring within hours. However, the findings from the 5-minute intervals may have been affected by the variety of proto- cols and conditions from study to study as well as by the potential effects of underlying diseases (e.g., healthy indi- viduals versus individuals with diabetes or a recent cor- onary artery. event), physical activity, circadian rhythms, stress, and/or medications.
以往的研究探讨了心率变异性(HRV*)和复极化的变化与同一天及前几天颗粒物(PM)浓度增加之间的关系。然而,很少有研究考察这些对PM的健康反应是否在几小时甚至更短时间内发生。此外,尚不清楚让受试者暴露于环境或受控的PM浓度下是否都会产生相似的健康影响,或者受试者的个体特征是否会改变他们对PM的任何反应。本研究的目的是调查暴露于PM是否与心脏节律标志物的快速变化(<60分钟或直至延迟6小时的同一小时内)或总抗氧化能力(抗氧化应激保护的标志物)的变化相关,以及总抗氧化能力、年龄、肥胖、吸烟、高血压、运动、既往心肌梗死(MI)或药物治疗是否会改变PM对心脏节律标志物的任何影响。
我们从德国奥格斯堡一项已完成的研究(一项针对N = 109名受试者的队列研究,包括一组2型糖尿病或糖耐量受损[IGT;也称为糖尿病前期]患者和一组对解毒和炎症途径具有潜在遗传易感性的其他健康受试者[汉佩尔等人,2012b])以及纽约罗切斯特三项已完成的研究(针对N = 76名参加心脏康复计划的心肌梗死后患者的REHAB队列研究[里奇等人,2012b];针对N = 19名2型糖尿病患者的超细颗粒物[UFPs,空气动力学直径<100 nm的颗粒]受控暴露的UPDIABETES研究[斯图尔特等人,2010;沃拉等人,2014];以及针对N = 20名年轻、健康、终生不吸烟者的浓缩UFP暴露的UPCON受控暴露研究)中获取数据。数据包括心电图(ECG)记录中HRV和复极化参数的5分钟和1小时值,以及存储血样中测得的总抗氧化能力。还可获取UFP、积聚模式颗粒(AMP,空气动力学直径为100 - 500 nm的颗粒)、细颗粒物(PM2.5,空气动力学直径≤2.5μm的颗粒)和黑碳(BC)的环境浓度。我们首先在每项研究中进行因子分析,以找到相关ECG结果的亚组,并减少我们统计模型中检查的结果数量。然后,我们将统计分析限制在所有四项研究共有的因子和代表性结果上,包括总HRV(以正常到正常[NN]心跳间隔的标准差[SDNN]衡量)、副交感神经调节(以相邻NN心跳间隔的连续差值的均方根[RMSSD]衡量)和T波形态(以T波复杂性衡量)。接下来,我们使用加性混合模型来估计每个结果与当前和前6小时污染物浓度增加以及直至前60分钟的5分钟间隔内的变化相关,同时考虑每个受试者重复结果测量的相关性,并对时间趋势、一天中的小时、温度、相对湿度、一周中的日子、月份和就诊次数进行调整。由于多重比较是我们分析中的一个问题,我们采用发现与重复方法来针对每个研究问题在各项研究中得出结论。
在奥格斯堡研究中,UFP浓度的四分位数间距(IQR)增加滞后2至5小时与SDNN降低1% - 3%相关(例如,在具有遗传易感性的组中滞后3小时:-2.26%;95%置信区间[CI],-3.98%至-0.53%)。同样,在REHAB研究中,前5小时UFP浓度的IQR增加与SDNN降低<3%相关(例如,滞后1小时:-2.69%;95% CI,-5.13%至-0.26%)。我们还在UPDIABETES研究中发现SDNN降低与总颗粒计数(UFP的替代指标)的IQR增加相关(滞后1小时:-13.22%;95% CI,-24.11%至-2.33%),但在UPCON研究中未发现。在奥格斯堡研究中,当前小时以及滞后1 - 5小时的PM2.5浓度的IQR增加、滞后1和3小时的AMP浓度以及滞后1 - 5小时的BC浓度与SDNN降低1% - 5%相关(例如,在糖尿病或IGT组中PM2.5滞后2小时:-4.59%;95% CI,-7.44%至-1.75%)。在REHAB研究中,滞后5和6小时的PM2.5浓度的IQR增加以及当前小时和滞后长达5小时的AMP浓度与SDNN降低1% - 2%相关(例如,PM2.5滞后4小时:-2.13%;95% CI,-3.91%至-0.35%)。在奥格斯堡研究中,当前小时的PM2.5浓度的IQR增加以及BC滞后1和6小时与RMSSD降低3% - 7%相关(例如,在糖尿病或IGT组中当前小时的PM2.5:-7.20%;95% CI,-12.11%至-2.02%)。同样,在REHAB研究中,滞后4至6小时的PM2.5浓度增加 - 尽管在任何滞后小时的AMP或BC浓度均未出现 - 与RMSSD降低2.5% - 3.5%相关(例如,PM2.5滞后5小时:-3.49%;95% CI,-6.13%至-0.84%)。我们在1小时记录中未发现任何污染物对T波复杂性有一致影响的证据。对于5分钟记录,在60分钟内的任何5分钟间隔,均未发现UFP对SDNN、RMSSD或T波复杂性有一致影响的证据。我们进一步得出结论,UFP和PM2.5对SDNN和RMSSD短期测量的这些重复的每小时影响在各研究组(即2型糖尿病、糖尿病前期/IGT、心肌梗死后和健康受试者)之间通常没有差异。最后,我们未发现任何污染物对总抗氧化能力有一致影响的证据,也未发现任何潜在效应修饰因素对我们的PM2.5 - 结果关联有一致修饰作用的证据。
在两项队列研究和两项受控暴露研究中的一项中,UFP浓度增加与SDNN降低相关。我们还发现,在队列研究中,前6小时PM2.5和AMP浓度增加与SDNN降低相关,且前6小时PM2.5浓度增加与RMSSD降低相关。因此,我们得出结论,研究问题得到了重复验证。我们的研究结果表明,UFP和PM2.5在暴露数小时内均与自主神经功能障碍相关,这可能部分解释了先前报道的前几小时内PM增加与急性心血管事件风险之间的关联。尽管研究人群和方案存在异质性,但我们的研究结果为UFP和PM2.5诱导快速病理生理反应提供了一致证据。在检查较短时间间隔时,UFP、PM2.5与这些结果之间缺乏一致关联表明,5至60分钟的反应可能不如数小时内发生的反应明显。然而,5分钟间隔的研究结果可能受到各研究方案和条件的差异以及潜在疾病(例如,健康个体与糖尿病个体或近期冠状动脉事件个体)、身体活动、昼夜节律、压力和/或药物治疗的潜在影响。