Coarse Particulate Matter and Markers of Inflammation and Coagulation in the Multi-Ethnic Study of Atherosclerosis (MESA) Population: A Repeat Measures Analysis.

BACKGROUND: In contrast to fine particles, less is known of the inflammatory and coagulation impacts of coarse particulate matter (PM10-2.5, particulate matter with aerodynamic diameter ≤10µm and>2.5µm). Toxicological research suggests that these pathways might be important processes by which PM10-2.5 impacts health, but there are relatively few epidemiological studies due to a lack of a national PM10-2.5 monitoring network. OBJECTIVES: We used new spatiotemporal exposure models to examine associations of both 1-y and 1-month average PM10-2.5 concentrations with markers of inflammation and coagulation. METHODS: We leveraged data from 7,071 Multi-Ethnic Study of Atherosclerosis and ancillary study participants 45-84 y of age who had repeated plasma measures of inflammatory and coagulation biomarkers. We estimated PM10-2.5 at participant addresses 1 y and 1 month before each of up to four exams (2000-2012) using spatiotemporal models that incorporated satellite, regulatory monitoring, and local geographic data and accounted for spatial correlation. We used random effects models to estimate associations with interleukin-6 (IL-6), C-reactive protein (CRP), fibrinogen, and D-dimer, controlling for potential confounders. RESULTS: Increases in PM10-2.5 were not associated with greater levels of inflammation or coagulation. A 10-µg/m3 increase in annual average PM10-2.5 was associated with a 2.5% decrease in CRP [95% confidence interval (CI): -5.5, 0.6]. We saw no association between annual average PM10-2.5 and the other markers (IL-6: -0.7%, 95% CI: -2.6, 1.2; fibrinogen: -0.3%, 95% CI: -0.9, 0.3; D-dimer: -0.2%, 95% CI: -2.6, 2.4). Associations consistently showed that a 10-µg/m3 increase in 1-month average PM10-2.5 was associated with reduced inflammation and coagulation, though none were distinguishable from no association (IL-6: -1.2%, 95% CI: -3.0 , 0.5; CRP: -2.5%, 95% CI: -5.3, 0.4; fibrinogen: -0.4%, 95% CI: -1.0, 0.1; D-dimer: -2.0%, 95% CI: -4.3, 0.3). DISCUSSION: We found no evidence that PM10-2.5 is associated with higher inflammation or coagulation levels. More research is needed to determine whether the inflammation and coagulation pathways are as important in explaining observed PM10-2.5 health impacts in humans as they have been shown to be in toxicology studies or whether PM10-2.5 might impact human health through alternative biological mechanisms. https://doi.org/10.1289/EHP12972.

Residential greenspace and major depression among older adults living in urban and suburban areas with different climates across the United States.

BACKGROUND AND AIM: Residential greenspace could alleviate depression - a leading cause of disability. Fewer studies of depression and greenspace have considered major depression, and, to our knowledge, none have considered how climate, which determines vegetation abundance and type, may change the impacts of greenspace. Our aim was to investigate whether residential greenspace is associated with major depression among older adults and explore effect modification by climate. METHODS: We used biennial interviews between 2008 and 2016 from the Health and Retirement Study. We calculated greenness within walking distance of home addresses as the maximum NDVI for the year of each participant interview averaged within a 1 km buffer. Reflecting clinical criteria, a score of ≥5 on the CIDI-SF indicated major depression in the preceding 12-months. We characterized climate using Köppen-Geiger classifications. To estimate prevalence ratios, we used Poisson regression. Our models adjusted for sociodemographic characteristics, geography, annual sunshine, and bluespace. RESULTS: The 21,611 eligible participants were 65 ± 10 years old on average, 55% female, 81% White, 12% Black, 10% Hispanic/Latino, and 31% had at least a 4-year college degree. The 12-month prevalence of a major depression was 8%. In adjusted models, more residential greenspace was associated with a lower prevalence of major depression (prevalence ratio per IQR, 0.91; 95% CI, 0.84 to 0.98). There was evidence of effect modification by climate (P forinteraction, 0.062). We observed stronger associations in tropical (prevalence ratio per IQR 0.69; 95% CI, 0.47 to 1.01) and cold (prevalence ratio per IQR, 0.83; 95% CI, 0.74 to 0.93) climates compared to arid (prevalence ratio per IQR 0.99; 95% CI, 0.90 to 1.09) and temperate (prevalence ratio per IQR 0.98; 95% CI, 0.86 to 1.11) climates. CONCLUSIONS: Residential greenspace may help reduce major depression. However, climate may influence how people benefit from greenspace.

Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph.

Multiple studies have investigated bibliometric features and uncategorized scholarly documents for the influential scholarly document prediction task. In this paper, we describe our work that attempts to go beyond bibliometric metadata to predict influential scholarly documents. Furthermore, this work also examines the influential scholarly document prediction task over categorized scholarly documents. We also introduce a new approach to enhance the document representation method with a domain-independent knowledge graph to find the influential scholarly document using categorized scholarly content. As the input collection, we use the WHO corpus with scholarly documents on the theme of COVID-19. This study examines different document representation methods for machine learning, including TF-IDF, BOW, and embedding-based language models (BERT). The TF-IDF document representation method works better than others. From various machine learning methods tested, logistic regression outperformed the other for scholarly document category classification, and the random forest algorithm obtained the best results for influential scholarly document prediction, with the help of a domain-independent knowledge graph, specifically DBpedia, to enhance the document representation method for predicting influential scholarly documents with categorical scholarly content. In this case, our study combines state-of-the-art machine learning methods with the BOW document representation method. We also enhance the BOW document representation with the direct type (RDF type) and unqualified relation from DBpedia. From this experiment, we did not find any impact of the enhanced document representation for the scholarly document category classification. We found an effect in the influential scholarly document prediction with categorical data.

Clinical Practice Guidelines (CPGs) for stroke rehabilitation from Low- and Middle-Income Countries (LMICs): Protocol for systematic review.

INTRODUCTION: Stroke rehabilitation guidelines promoteclinical decision making, enhance quality of healthcare delivery, minimize healthcare costs, and identify gaps in current knowledge to guide future research. However, there are no published reviews that have exclusively evaluated the quality of existing Clinical Practice Guidelines (CPGs) for stroke rehabilitation from Low- and Middle-Income Countries (LMICs) or provided any insights into the cultural variation, adaptations, or gaps in implementation specific to LMICs. OBJECTIVES: To identify CPGs developed by LMICs for stroke rehabilitation and evaluate their quality using AGREE-II and AGREE-REX tool. METHODS: The review protocol is prepared in accordance with the PRISMA-P guidelines and the review was registered in PROSPERO (CRD42022382486). The search was run in Medline, EMBASE, CINHAL, PEDro for guidelines published between 2000 till July 2022. Additionally, SUMSearch, Google, and other guideline portals and gray literature were searched. The included studies were then subjected to data extraction for the following details: Study ID, title of the CPG, country of origin, characteristics of CPG (Scope-national/regional, level of care, multidisciplinary/uni-disciplinary), and information on stroke rehabilitation relevant recommendations. The quality of the included CPGs will be subsequently evaluated using AGREE-II and AGREE-REX tool. RESULTS & CONCLUSION: This systematic review aims to explore the gaps in existing CPGs specific to LMICs and will aid in development/adaptation/contextualization of CPGs for implementation in LMICs.

Hypertension and Stroke as Mediators of Air Pollution Exposure and Incident Dementia.

Importance: Fine particulate matter air pollution (PM2.5) has been consistently associated with cardiovascular disease, which, in turn, is associated with an increased risk of dementia. As such, vascular dysfunction might be a mechanism by which PM2.5 mediates dementia risk, yet few prior epidemiological studies have examined this potential mechanism. Objective: To investigate whether hypertension and stroke serve as mediators and modifiers of the association of PM2.5 with incident dementia. Design, Setting, and Participants: As part of the Environmental Predictors of Cognitive Health and Aging (EPOCH) Project, this cohort study used biennial survey data collected between 1998 and 2016 from respondents of the Health and Retirement Study (HRS), a nationally representative, population-based, cohort in the US. Eligible participants were those over 50 years of age who were free of dementia at baseline and had complete exposure, mediator, outcome, and demographic data from the HRS. Data analysis was conducted from August to November 2022. Exposures: Exposure to PM2.5, calculated for the 10 years preceding each person's baseline examination according to residential histories and spatiotemporal models. Main Outcomes and Measures: Incident dementia was identified using a validated algorithm based on cognitive testing and informant reports. The 4-way decomposition causal mediation analysis method was used to quantify the degree to which hypertension and stroke mediated or modified the association of PM2.5 with incident dementia after adjustment for individual-level and area-level covariates. Results: Among 27 857 participants (mean [SD] age at baseline, 61 [10] years; 15 747 female participants [56.5%]; 19 249 non-Hispanic White participants [69.1%]), 4105 (14.7%) developed dementia during the follow-up period (mean [SD], 10.2 [5.6] years). Among participants with dementia, 2204 (53.7%) had a history of hypertension at baseline and 386 (9.4%) received a diagnosis of hypertension during the follow up. A total of 378 participants (9.2%) had a history of stroke at baseline and 673 (16.4%) developed stroke over the follow-up period. The IQR of baseline PM2.5 concentrations was 10.9 to 14.9 µg/m3. In fully adjusted models, higher levels of PM2.5 (per IQR) were not associated with increased risk of incident dementia (HR, 1.04; 95% CI, 0.98 to 1.11). Although there were positive associations of prevalent stroke (HR, 1.67; 95% CI, 1.48 to 1.88) and hypertension (HR, 1.15; 95% CI, 1.08 to 1.23) with incident dementia compared with those free of stroke and hypertension during follow-up, there was no statistically significant association of PM2.5 with stroke (odds ratio per IQR increment in PM2.5, 1.08; 95%CI, 0.91 to 1.29) and no evidence of an association of PM2.5 with hypertension (odds ratio per IQR increment in PM2.5, 0.99; 95%CI, 0.92 to 1.07). Concordantly, there was no evidence that hypertension or stroke acted as mediators or modifiers of the association of PM2.5 with incident dementia. Although the nonmediated interaction between PM2.5 and hypertension accounted for 39.2% of the total excess association (95% CI, -138.5% to 216.9%), the findings were not statistically significant. Conclusions and Relevance: These findings suggest that although hypertension may enhance the susceptibility of individuals to air pollution, hypertension and stroke do not significantly mediate or modify the association of PM2.5 with dementia, indicating the need to investigate other pathways and potential mediators of risk.

In-utero exposure to multiple air pollutants and childhood undernutrition in India.

BACKGROUND: Several studies have been conducted to understand the impact of socioeconomic and maternal factors on child undernutrition. However, the past literature has not directly examined the joint impacts of fuel use and ambient pollution and have primarily focused on PM2.5. OBJECTIVE: This study explored the individual and community-level associations of both indoor (cooking fuel type) and ambient air pollution (PM2.5, NO2 and SO2) during maternal gestation on child undernutrition. METHODS: This study analysed stunting, being underweight, and anaemia of children aged 0-59 months (n = 259,627) using the National Family Health Survey. In-utero exposures to ambient PM2.5, NO2, and SO2 were measured using satellite data and self-reported fuel type was a marker of indoor pollution exposure. The study used univariate and bivariate Moran's I, spatial lag model and multivariable logistic regression models after adjusting for other covariates to understand the effect of pollution on in-utero exposure and child health status at the individual and community-levels. RESULTS: Higher concentration of indoor and ambient air pollution was found in the Northern and parts of Central regions of India. Estimates of spatial modelling show that each 1 µg/m-3 increase in maternal exposure to ambient PM2.5 across the clusters of India was associated with a 0.11, 9 and 19 percentage points increase in the prevalence of stunting, underweight and anaemia, respectively. The results of multi-pollutant model show that a higher ambient PM2.5 exposure during pregnancy was linked to higher odds of stunting (AOR:1.38; 95% CI:1.32-1.44), underweight (AOR:1.59; 95% CI:1.51-1.67) and anaemia (AOR:1.61; 95% CI:1.52-1.69) in children. Weaker but similar associations were observed for NO2, but not with SO2. Indoor pollution exposure during in-utero periods was also significantly associated with childhood undernutrition and this association was modified by ambient PM2.5 levels, where exposure to both indoor and ambient air pollution had even greater odds of being undernourished. IMPACT STATEMENT: Our research on multi-pollutant models has revealed the initial proof of the individual impacts of indoor and outdoor pollution (PM2.5, NO2, and SO2) exposure during fetal development on children's nutrition.

Comparison of Particulate Air Pollution From Different Emission Sources and Incident Dementia in the US.

Importance: Emerging evidence indicates that exposure to fine particulate matter (PM2.5) air pollution may increase dementia risk in older adults. Although this evidence suggests opportunities for intervention, little is known about the relative importance of PM2.5 from different emission sources. Objective: To examine associations of long-term exposure of total and source-specific PM2.5 with incident dementia in older adults. Design, Setting, and Participants: The Environmental Predictors of Cognitive Health and Aging study used biennial survey data from January 1, 1998, to December 31, 2016, for participants in the Health and Retirement Study, which is a nationally representative, population-based cohort study in the US. The present cohort study included all participants older than 50 years who were without dementia at baseline and had available exposure, outcome, and demographic data between 1998 and 2016 (N = 27 857). Analyses were performed from January 31 to May 1, 2022. Exposures: The 10-year mean total PM2.5 and PM2.5 from 9 emission sources at participant residences for each month during follow-up using spatiotemporal and chemical transport models. Main Outcomes and Measures: The main outcome was incident dementia as classified by a validated algorithm incorporating respondent-based cognitive testing and proxy respondent reports. Adjusted hazard ratios (HRs) were estimated for incident dementia per IQR of residential PM2.5 concentrations using time-varying, weighted Cox proportional hazards regression models with adjustment for the individual- and area-level risk factors. Results: Among 27 857 participants (mean [SD] age, 61 [10] years; 15 747 [56.5%] female), 4105 (15%) developed dementia during a mean (SD) follow-up of 10.2 [5.6] years. Higher concentrations of total PM2.5 were associated with greater rates of incident dementia (HR, 1.08 per IQR; 95% CI, 1.01-1.17). In single pollutant models, PM2.5 from all sources, except dust, were associated with increased rates of dementia, with the strongest associations for agriculture, traffic, coal combustion, and wildfires. After control for PM2.5 from all other sources and copollutants, only PM2.5 from agriculture (HR, 1.13; 95% CI, 1.01-1.27) and wildfires (HR, 1.05; 95% CI, 1.02-1.08) were robustly associated with greater rates of dementia. Conclusion and Relevance: In this cohort study, higher residential PM2.5 levels, especially from agriculture and wildfires, were associated with higher rates of incident dementia, providing further evidence supporting PM2.5 reduction as a population-based approach to promote healthy cognitive aging. These findings also indicate that intervening on key emission sources might have value, although more research is needed to confirm these findings.

Effects of virtual simulation on student pharmacists' ability to assess self-care patient cases.

INTRODUCTION: The use of simulation is recognized as an effective means to teach skills necessary for pharmacy practice. It is essential these educational activities are evaluated. The purpose of this study is to evaluate the effectiveness of virtual simulation on student pharmacists' ability to assess and formulate a plan for patients seeking self-care. METHODS: In a third-year course, student pharmacists are assessed on their abilities to assist a patient seeking self-care. This assessment is a standardized patient (SP) case graded using a checklist. Previously, students prepared by participating in workshops and lectures only. In 2017, students continued workshops and lecture, but MyDispense virtual exercises were also assigned. Student performance after using MyDispense was compared to the previous year's students. Each student was assigned one of six different cases for the SP assessment. The maximum possible score was 20. Statistics used were chi-square, Fischer's exact, and t-test. RESULTS: Data from 135 students in the intervention group were compared to 178 students in the control group. No differences were detected between the mean total scores of all cases when the intervention group was compared to the control group (16.89 vs. 17.22, respectively). A significant difference was only detected for Case 4 (15.91 vs. 18.02, intervention vs. control respectively, P < .001). Significant differences on the grading checklist were identified for six items. CONCLUSIONS: Virtual simulation may impact student pharmacists' ability to assist patients seeking self-care recommendations. However, not all changes identified were positive.

Diabetes: how to manage overweight and obesity in type 2 diabetes mellitus.

The prevalence of obesity worldwide continues to increase substantially. Obesity is a chronic disease that can lead to other health conditions, including type 2 diabetes mellitus (T2DM). A variety of treatment options are available to treat T2DM. With its prevalence increasing, it is essential that healthcare professionals assess how their patients' current diabetes treatment is being managed to avoid further weight gain in those with overweight or obesity.

Barriers leading to increased disability in neurologically challenged populations during COVID-19 pandemic: a scoping review.

PURPOSE: The objective of this scoping review was to get an overview of barriers emerging across the globe from the pandemic that are likely to increase the level of pre-existing disability status of neurologically challenged populations. METHODS: Database searches (PubMed/MEDLINE, CINAHL, ProQuest, Ovid, Scopus, and Web of Science) updated to December 2020 were conducted. Articles that identified challenges or barriers to neuro-rehabilitation, impact on disability status and health care services were included. Full-text articles limited to the English language with no restrictions on study design were included. Data was synthesized based on recurrent themes that were identified. RESULTS: Thirty-seven studies were included in this review. Neurological populations considered: stroke, multiple sclerosis, amyotrophic lateral sclerosis, parkinson's disease, autism, developmental disabilities, and those who required neurosurgical care. Barriers were grouped into categories as increased disease risk and complications, delayed or restricted access to neuro-rehabilitation, limited hospital access, telerehabilitation limitations, and shutdown of special centers of aid. CONCLUSIONS: COVID-19 pandemic has given rise to barriers that affect almost every aspect of healthcare and rehabilitation in neurologically challenged populations prompting an increase in their disability level. This can assist policymakers in designing mitigation strategies to minimize the detrimental effects on this vulnerable population.Implications for rehabilitationPandemic has led to the worsening of existing motor and non-motor symptoms, which need to be monitored, assessed and managed medically, and through rehabilitation in neurologically challenged populations.Notable decline of cognition and physical activity in neurologically challenged populations needs to be assessed and efforts to reverse these outcomes should be attempted.Rehabilitation services, hospital care and centers of aid need to be made more accessible for neurologically challenged populations with COVID-19 precautionary measures.Telemedicine and telerehabilitation need to be upgraded to enhance further face to face like interactions and for tracking of progressive disease.

Long-Term Exposures to Urban Noise and Blood Pressure Levels and Control Among Older Adults.

[Figure: see text].

Analysis of pharmacy student communication self-evaluation skills during standardized patient encounters.

INTRODUCTION: The objective of this study was to evaluate pharmacy students' communication self-evaluation skills by comparing student self-evaluations with those completed by course graders and standardized patients (SP). METHODS: As part of a required communications course, third-year pharmacy students completed a medication counseling encounter with a SP during a midpoint encounter and final assessment. Students' communication skills were evaluated by course graders and SPs. Students used the same assessment rubric to also complete self-evaluations immediately after each event and after reviewing a recording of their midpoint encounter. Agreement among student, SP, and course grader ratings on individual items were examined using the kappa statistic. RESULTS: A total of 206 students completed the midpoint encounter, and 208 completed the final assessment. Agreement between students' and SPs' evaluations was high during both the midpoint and final encounters, with >90% agreement on 14 out of 17 items at the midpoint encounter and 16 out of 17 during the final assessment. There were diffiences in scoring for the use of verbal distractors/fillers, with SPs' evaluations showing more favorable scores when differences existed [at midpoint 69 (33.7%) SP vs. 7 (3.4%) student; at final 31 (15%) SP vs. 3 (1.5%) student]. Agreement improved from the midpoint to final assessment (62.9% vs. 83.7%, respectively). CONCLUSIONS: Self-evaluation of communication skills may be an acceptable alternative to faculty or SP evaluations, when appropriate for the purpose of the activity, based on the high agreement observed among communication skills evaluations completed by students, course graders, and SPs.

Long-term community noise exposure in relation to dementia, cognition, and cognitive decline in older adults.

INTRODUCTION: Exposure to noise might influence risk of Alzheimer's disease (AD) dementia. METHODS: Participants of the Chicago Health and Aging Project (≥65 years) underwent triennial cognitive assessments. For the 5 years preceding each assessment, we estimated 5227 participants' residential level of noise from the community using a spatial prediction model, and estimated associations of noise level with prevalent mild cognitive impairment (MCI) and AD, cognitive performance, and rate of cognitive decline. RESULTS: Among these participants, an increment of 10 A-weighted decibels (dBA) in noise corresponded to 36% and 29% higher odds of prevalent MCI (odds ratio [OR] = 1.36; 95% confidence interval [CI], 1.15 to 1.62) and AD (OR = 1.29, 95% CI, 1.08 to 1.55). Noise level was associated with worse global cognitive performance, principally in perceptual speed (-0.09 standard deviation per 10 dBA, 95% CI: -0.16 to -0.03), but not consistently associated with cognitive decline. DISCUSSION: These results join emerging evidence suggesting that noise may influence late-life cognition and risk of dementia.

Does the Environment Cause Changes in Hemiparetic Lower Limb Muscle Activity and Gait Velocity During Walking in Stroke Survivors?

Stroke survivors often face difficulty in community ambulation though they attain steady-state walking in clinical setups. Compliance and unpredictability of the environment may alter the muscle activity and challenge the individual's gait. Successful reintegration into the community requires gait assessment and training in a real-life challenging environment. Little is known about the assessment and training of gait in the community environment under challenging mobility dimensions. Hence, we aimed to study the changes that real-life environmental dimensions have on the activity of selected muscles in hemiparetic lower limb and gait velocity in stroke survivors. METHODS: An observational cross-sectional study was conducted on 16 ambulatory stroke survivors to assess the hemiparetic lower limb muscle activity during walking in real-life environmental dimensions. Participants were made to walk in the community on a walkway consisting of even surface, ramp, stairs, uneven terrain and obstacles. They were also made to manoeuvre through traffic and pick a load while walking for a distance in the walkway. Muscle activity of Rectus Femoris, Biceps Femoris, Gastrocnemius Medialis and Tibialis Anterior of the paretic lower limb were continuously recorded while walking using wireless surface electromyography. Gait velocity for the entire walkway and level of perceived difficulty while walking in different dimensions were also measured. Paired t-test was used to compare the percentage Maximum Voluntary Contraction (%MVC) of lower limb muscles between even surface and real-life environment dimensions while walking. One sample t-test was used to compare the gait velocity in real-life dimensions versus gait velocity in even surface measured in an earlier study. RESULTS: There was a significant reduction (p < 0.01) in the activity of all four hemiparetic lower limb muscles while walking under the influence of real-life environmental dimensions compared to even surface. Gait velocity (0.33 ± 0.17 m/s) was significantly lower than that is essential to be a community ambulator. The level of perceived difficulty across all dimensions was reported qualitatively with the highest difficulty reported during stair and obstacle clearance. CONCLUSION: Real-life environmental dimensions lead to the reduction of paretic lower limb muscle activities and gait velocity during walking in community-dwelling stroke survivors. Stroke survivors perceived more difficulty while walking in real-life environment dimensions particularly while negotiating stairs and obstacles. SIGNIFICANCE: Knowledge about the influence of real-life environmental dimensions will help the clinicians to target rehabilitation methods to improve walking adaptability.

Critical Relevance of Stochastic Effects on Low-Bacterial-Biomass 16S rRNA Gene Analysis.

The bacterial microbiome of human body sites, previously considered sterile, remains highly controversial because it can be challenging to isolate signal from noise when low-biomass samples are being analyzed. We tested the hypothesis that stochastic sequencing noise, separable from reagent contamination, is generated during sequencing on the Illumina MiSeq platform when DNA input is below a critical threshold. We first purified DNA from serial dilutions of Pseudomonas aeruginosa and from negative controls using three DNA purification kits, quantified input using droplet digital PCR, and then sequenced the 16S rRNA gene in four technical replicates. This process identified reproducible contaminant signal that was separable from an irreproducible stochastic noise, which occurred as bacterial biomass of samples decreased. This approach was then applied to authentic respiratory samples from healthy individuals (n = 22) that ranged from high to ultralow bacterial biomass. Using oral rinse, bronchoalveolar lavage (BAL) fluid, and exhaled breath condensate (EBC) samples and matched controls, we were able to demonstrate (i) that stochastic noise dominates sequencing in real-world low-bacterial-biomass samples that contain fewer than 104 copies of the 16S rRNA gene per sample, (ii) that critical examination of the community composition of technical replicates can be used to separate signal from noise, and (iii) that EBC is an irreproducible sampling modality for sampling the microbiome of the lower airways. We anticipate that these results combined with suggested methods for identifying and dealing with noisy communities will facilitate increased reproducibility while simultaneously permitting characterization of potentially important low-biomass communities.IMPORTANCE DNA contamination from external sources (reagents, environment, operator, etc.) has long been assumed to be the main cause of spurious signals that appear under low-bacterial-biomass conditions. Here, we demonstrate that contamination can be separated from another, random signal generated during low-biomass-sample sequencing. This stochastic noise is not reproduced between technical replicates; however, results for any one replicate taken alone could look like a microbial community different from the controls. Using this information, we investigated respiratory samples from healthy humans and determined the narrow range of bacterial biomass where samples transition from producing reproducible microbial sequences to ones dominated by noise. We present a rigorous approach to studies involving low-bacterial-biomass samples to detect this source of noise and provide a framework for deciding if a sample is likely to be dominated by noise. We anticipate that this work will facilitate increased reproducibility in the characterization of potentially important low-biomass communities.

Longitudinal Analysis of Long-Term Air Pollution Levels and Blood Pressure: A Cautionary Tale from the Multi-Ethnic Study of Atherosclerosis.

BACKGROUND: Air pollution exposures are hypothesized to impact blood pressure, yet few longitudinal studies exist, their findings are inconsistent, and different adjustments have been made for potentially distinct confounding by calendar time and age. OBJECTIVE: We aimed to investigate the associations of long- and short-term [Formula: see text] and [Formula: see text] concentrations with systolic and diastolic blood pressures and incident hypertension while also accounting for potential confounding by age and time. METHODS: Between 2000 and 2012, Multi-Ethnic Study of Atherosclerosis participants were measured for systolic and diastolic blood pressure at five exams. We estimated annual average and daily [Formula: see text] and [Formula: see text] concentrations for 6,569 participants using spatiotemporal models and measurements, respectively. Associations of exposures with blood pressure corrected for medication were studied using mixed-effects models. Incident hypertension was examined with Cox regression. We adjusted all models for sex, race/ethnicity, socioeconomic status, smoking, physical activity, diet, season, and site. We compared associations from models adjusting for time-varying age with those that adjusted for both time-varying age and calendar time. RESULTS: We observed decreases in pollution and blood pressures (adjusted for age and medication) over time. Strong, positive associations of long- and short-term exposures with blood pressure were found only in models with adjustment for time-varying age but not adjustment for both time-varying age and calendar time. For example, [Formula: see text] higher annual average [Formula: see text] concentrations were associated with 2.7 (95% CI: 1.5, 4.0) and [Formula: see text] (95% CI: [Formula: see text] 1.0) mmHg in systolic blood pressure with and without additional adjustment for time, respectively. Associations with incident hypertension were similarly weakened by additional adjustment for time. Sensitivity analyses indicated that air pollution did not likely cause the temporal trends in blood pressure. CONCLUSIONS: In contrast to experimental evidence, we found no associations between long- or short-term exposures to air pollution and blood pressure after accounting for both time-varying age and calendar time. This research suggests that careful consideration of both age and time is needed in longitudinal studies with trending exposures. https://doi.org/10.1289/EHP2966.

Effect of Portable Air Filtration Systems on Personal Exposure to Fine Particulate Matter and Blood Pressure Among Residents in a Low-Income Senior Facility: A Randomized Clinical Trial.

Importance: Fine particulate matter (smaller than 2.5 µm) (PM2.5) air pollution is a major global risk factor for cardiovascular (CV) morbidity and mortality. Few studies have tested the benefits of portable air filtration systems in urban settings in the United States. Objective: To investigate the effectiveness of air filtration at reducing personal exposures to PM2.5 and mitigating related CV health effects among older adults in a typical US urban location. Design, Setting, and Participants: This randomized, double-blind crossover intervention study was conducted from October 21, 2014, through November 4, 2016, in a low-income senior residential building in Detroit, Michigan. Forty nonsmoking older adults were enrolled, with daily CV health outcome and PM2.5 exposure measurements. Interventions: Participants were exposed to the following three 3-day scenarios separated by 1-week washout periods: unfiltered air (sham filtration), low-efficiency (LE) high-efficiency particulate arrestance (HEPA)-type filtered air, and high-efficiency (HE) true-HEPA filtered air using filtration systems in their bedroom and living room. Main Outcomes and Measures: The primary outcome was brachial blood pressure (BP). Secondary outcomes included aortic hemodynamics, pulse-wave velocity, and heart rate variability. Exposures to PM2.5 were measured in the participants' residences and by personal monitoring. Results: The 40 participants had a mean (SD) age of 67 (8) years (62% men). Personal PM2.5 exposures were significantly reduced by air filtration from a mean (SD) of 15.5 (10.9) µg/m3 with sham filtration to 10.9 (7.4) µg/m3 with LE fitration and 7.4 (3.3) µg/m3 with HE filtration. Compared with sham filtration, any filtration for 3 days decreased brachial systolic and diastolic BP by 3.2 mm Hg (95% CI, -6.1 to -0.2 mm Hg) and 1.5 mm Hg (95% CI, -3.3 to 0.2 mm Hg), respectively. A continuous decrease occurred in systolic and diastolic BP during the 3-day period of LE filtration, with a mean of 3.4 mm Hg (95% CI, -6.8 to -0.1 mm Hg) and 2.2 mm Hg (95% CI, -4.2 to -0.3 mm Hg), respectively. For HE filtration, systolic and diastolic BP decreased by 2.9 mm Hg (95% CI, -6.2 to 0.5 mm Hg) and 0.8 mm Hg (95% CI, -2.8 to 1.2 mm Hg), respectively. Most secondary outcomes were not significantly improved. Conclusions and Relevance: Results of this study showed that short-term use of portable air filtration systems reduced personal PM2.5 exposures and systolic BP among older adults living in a typical US urban location. The use of these relatively inexpensive systems is potentially cardioprotective against PM2.5 exposures and warrants further research. Trial Registration: ClinicalTrials.gov identifier: NCT03334565.