scholarly journals Spatial variation in heart failure and air pollution in Warwickshire, UK: an investigation of small scale variation at the ward level

The Lancet ◽  
2014 ◽  
Vol 384 ◽  
pp. S20
Author(s):  
Oscar Bennett ◽  
Ngianga-Bakwin Kandala ◽  
Chen Ji ◽  
John Linnane ◽  
Aileen Clarke
Keyword(s):  
Heart Failure ◽  
Air Pollution ◽  
Spatial Variation ◽  
Small Scale ◽  
Ward Level ◽  
Scale Variation

scholarly journals Spatial variation of heart failure and air pollution in Warwickshire, UK: an investigation of small scale variation at the ward-level

BMJ Open ◽  
2014 ◽  
Vol 4 (12) ◽  
pp. e006028 ◽  
Author(s):  
Oscar Bennett ◽  
Ngianga-Bakwin Kandala ◽  
Chen Ji ◽  
John Linnane ◽  
Aileen Clarke
Keyword(s):  
Heart Failure ◽  
Air Pollution ◽  
Spatial Variation ◽  
Small Scale ◽  
Ward Level ◽  
Scale Variation

Net precipitation assessment in a grassland and soil moisture response at plot scale in a temperate climate

2021 ◽  
Author(s):  
Gökben Demir ◽  
Johanna Clara Metzger ◽  
Janett Filipzik ◽  
Christine Fischer ◽  
Beate Michalzik ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Spatial Variation ◽  
Canopy Structure ◽  
Sampling Period ◽  
Temperate Climate ◽  
Small Scale ◽  
Spatial Effects ◽  
Mixed Effect ◽  
Canopy Development ◽  
Canopy Effect

<div> <p>Evidence on spatial variation of net precipitation in grasslands is scarce. Challenges arise due to a small-scale canopy structure of grasslands.</p> <p>In this study, we designed and tested a new in-situ measurement device (interception grid) to assess net precipitation in grasslands. The collector allows the natural development of the canopy. We tested the device both in the lab for splash loss and in the field to test its capacity to assess net precipitation. In the field, we installed 25 collectors on a grassland within the Hainich Critical Zone Exploratory (Thuringia, Germany), 23 of which were paired with soil moisture sensors. We conducted weekly measurements gross and net precipitation (above and below the canopy), along with grass height in 2019 (March-August) and 2020 (January -February). We categorized the data into two groups (‘covered,’ ‘uncovered’), accounting for canopy development.</p> <p>In the lab, we found that the drop size strongly affects splash loss. Drops of ca. 2 mm, created more than 16% splash loss, decreasing to less than 3% for drops <1.5 mm. Drop sizes <1.75 mm during the sampling period (2019) suggest low to intermediate splash loss in the field, further decreased in the covered period as the canopy contact slows down the drops. Grid measurements corrected with estimated splash loss during the uncovered period agreed well with gross precipitation. Using linear mixed effect models, we found that wind speed and grass height significantly affected the grid measurements of covered periods. Therefore, grids were able to capture net precipitation variation due to grass development. These steps encouraged us to examine the canopy effect in the soil moisture response to rainfall.</p> <p>Soil moisture response over the entire period was not related to the spatial variation of net precipitation. However, for the drier period (June-August 2019), when the spatial variation in soil moisture is higher, and the overall response to rain events stronger, net precipitation slightly affected soil moisture response. LMEM analysis to estimate factors on soil moisture response showed that grass height, net precipitation are significant predictors. Yet, there is no remarkable difference between using net precipitation and gross precipitation as potential drivers for soil moisture response, indicating that the spatial effects are comparatively small. Overall, our findings suggest that the grids are cable to catch canopy effects on the precipitation, while the effect of wind on under-catch still needs to be investigated further.</p> </div>

Abstract P391: Inhalation Of Airborne Particulate Matter Alters Cardiovascular Function Of Alzheimer-prone Mice

2021 ◽  
Vol 129 (Suppl_1) ◽  
Author(s):  
Devin R O'Piela ◽  
Ty A Saldana ◽  
David M Aslaner ◽  
Matthew W Gorr ◽  
Amy R Mackos ◽  
...  
Keyword(s):  
Heart Failure ◽  
Air Pollution ◽  
Risk Factor ◽  
Particulate Matter ◽  
Mouse Model ◽  
Transgenic Mouse ◽  
Airborne Particulate Matter ◽  
Transgenic Mouse Model ◽  
Cardiovascular Dysfunction ◽  
Airborne Particulate

Air pollution has detrimental effects on cardiovascular and lung function, and the extent of its pathological consequences continues to be uncovered. Recently, air pollution has been implicated in the development of Alzheimer Disease (AD) progression. AD and heart failure are common co-morbidities, giving reason to believe that cardiovascular dysfunction may contribute to AD. A known contributor to cardiovascular dysfunction-particulate matter (PM 2.5 , < 2.5 μm diameter)—is a critical component of air pollution and is considered a risk factor for heart failure and AD development. This co-morbidity pattern and shared environmental risk factor prompted the hypothesis that PM 2.5 contributes to cardiovascular dysfunction in a transgenic mouse model of AD. We tested our hypothesis by subjecting 6-month-old transgenic (APP) and non-carrier wildtype (WT) male mice to filtered air (FA) or PM 2.5 for 5 days/week, 6 hours/day for 3 months (n = 34). Following exposure, echocardiography, pressure-volume (PV) loops, and respiratory mechanics were performed to detect cardiac and pulmonary changes associated with genotype and exposure conditions among the 3-month group. Echocardiography revealed left ventricular anterior wall thickness in systole was significantly elevated among PM-exposed APP mice compared to FA-exposed APP controls. PV data demonstrated significant reduced end-systolic elastance in PM-exposed mice compared to FA-exposed mice in both WT and APP mouse models, demonstrating impaired contractility. PV loops also showed that the time constant of isovolumetric relaxation was increased in PM-exposed compared to FA-exposed WT mice. APP mice experienced higher lung resistance and central airway resistance with an increasing dose of methacholine. Taken together, these findings indicate airborne particulate matter exposure causes cardiac and pulmonary dysfunction in a transgenic mouse model of AD.

scholarly journals Diploptene <i>δ</i><sup>13</sup>C values from contemporary thermokarst lake sediments show complex spatial variation

2016 ◽  
Vol 13 (8) ◽  
pp. 2611-2621 ◽  
Author(s):  
Kimberley L. Davies ◽  
Richard D. Pancost ◽  
Mary E. Edwards ◽  
Katey M. Walter Anthony ◽  
Peter G. Langdon ◽  
...  
Keyword(s):  
Spatial Variation ◽  
Lake Sediments ◽  
Methane Oxidation ◽  
Methane Production ◽  
Small Scale ◽  
Δ13c Values ◽  
Thermokarst Lakes ◽  
Methane Ebullition ◽  
Methane Efflux ◽  
Isotopic Signal

Abstract. Cryospheric changes in northern high latitudes are linked to significant greenhouse gas flux to the atmosphere, for example, methane that originates from organic matter decomposition in thermokarst lakes. The set of pathways that link methane production in sediments, via oxidation in the lake system, to the flux of residual methane to the atmosphere is complex and exhibits temporal and spatial variation. The isotopic signal of bacterial biomarkers (hopanoids, e.g. diploptene) in sediments has been used to identify contemporary ocean-floor methane seeps and, in the geological record, periods of enhanced methane production (e.g. the PETM). The biomarker approach could potentially be used to assess temporal changes in lake emissions through the Holocene via the sedimentary biomarker record. However, there are no data on the consistency of the signal of isotopic depletion in relation to source or on the amount of noise (unexplained variation) in biomarker values from modern lake sediments. We assessed methane oxidation as represented by the isotopic signal of biomarkers from methane oxidising bacteria (MOB) in multiple surface sediment samples in three distinct areas known to emit varying levels of methane in two shallow Alaskan thermokarst lakes. Diploptene was present and had δ13C values lower than −38 ‰ in all sediments analysed, suggesting methane oxidation was widespread. However, there was considerable variation in δ13C values within each area. The most 13C-depleted diploptene was found in an area of high methane ebullition in Ace Lake (diploptene δ13C values between −68.2 and −50.1 ‰). In contrast, significantly higher diploptene δ13C values (between −42.9 and −38.8 ‰) were found in an area of methane ebullition in Smith Lake. δ13C values of diploptene between −56.8 and −46.9 ‰ were found in the centre of Smith Lake, where ebullition rates are low but diffusive methane efflux occurs. The small-scale heterogeneity of the samples may reflect patchy distribution of substrate and/or MOB within the sediments. The two ebullition areas differ in age and type of organic carbon substrate, which may affect methane production, transport, and subsequent oxidation. Given the high amount of variation in surface samples, a more extensive calibration of modern sediment properties, within and among lakes, is required before down-core records of hopanoid isotopic signatures are developed.

scholarly journals Size-effect, asymmetry, and small-scale spatial variation in otolith shape of juvenile sole in the Southern North Sea

Hydrobiologia ◽  
2018 ◽  
Vol 845 (1) ◽  
pp. 95-108 ◽  
Author(s):  
Sophie Delerue-Ricard ◽  
Hanna Stynen ◽  
Léo Barbut ◽  
Fabien Morat ◽  
Kelig Mahé ◽  
...  
Keyword(s):  
Size Effect ◽  
Spatial Variation ◽  
North Sea ◽  
Small Scale ◽  
Otolith Shape ◽  
Southern North Sea

scholarly journals Long‐Term Exposure to Particulate Air Pollution Is Associated With 30‐Day Readmissions and Hospital Visits Among Patients With Heart Failure

2021 ◽  
Author(s):  
Cavin K. Ward‐Caviness, ◽  
Mahdieh Danesh Yazdi, ◽  
Joshua Moyer, ◽  
Anne M. Weaver, ◽  
Wayne E. Cascio, ◽  
...  
Keyword(s):  
Heart Failure ◽  
Air Pollution ◽  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Total Hospital ◽  
Fine Particulate ◽  
Patients With Heart Failure ◽  
Hospital Visits ◽  
Pollution Exposure

Background Long‐term air pollution exposure is a significant risk factor for inpatient hospital admissions in the general population. However, we lack information on whether long‐term air pollution exposure is a risk factor for hospital readmissions, particularly in individuals with elevated readmission rates. Methods and Results We determined the number of readmissions and total hospital visits (outpatient visits+emergency room visits+inpatient admissions) for 20 920 individuals with heart failure. We used quasi‐Poisson regression models to associate annual average fine particulate matter at the date of heart failure diagnosis with the number of hospital visits and 30‐day readmissions. We used inverse probability weights to balance the distribution of confounders and adjust for the competing risk of death. Models were adjusted for age, race, sex, smoking status, urbanicity, year of diagnosis, short‐term fine particulate matter exposure, comorbid disease, and socioeconomic status. A 1‐µg/m 3 increase in fine particulate matter was associated with a 9.31% increase (95% CI, 7.85%–10.8%) in total hospital visits, a 4.35% increase (95% CI, 1.12%–7.68%) in inpatient admissions, and a 14.2% increase (95% CI, 8.41%–20.2%) in 30‐day readmissions. Associations were robust to different modeling approaches. Conclusions These results highlight the potential for air pollution to play a role in hospital use, particularly hospital visits and readmissions. Given the elevated frequency of hospitalizations and readmissions among patients with heart failure, these results also represent an important insight into modifiable environmental risk factors that may improve outcomes and reduce hospital use among patients with heart failure.

scholarly journals The risk of admission acute heart failure in ST-elevation myocardial infarction patients and air pollution with PM2.5

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
A Sinkovic ◽  
M Krasevec ◽  
D Suran ◽  
M Marinsek ◽  
A Markota
Keyword(s):  
Myocardial Infarction ◽  
Heart Failure ◽  
Air Pollution ◽  
Acute Heart Failure ◽  
St Elevation Myocardial Infarction ◽  
Vascular Events ◽  
Limit Values ◽  
Predictive Role ◽  
St Elevation

Abstract Introduction Air pollution, in particular exposure to particulate matter fine particles of less than 2.5 microns in diameter (PM2.5), increases the risk of cardiovascular events. Short-term exposure (hours to few days prior) to increased PM2.5 levels even may help trigger ST-elevation myocardial infarction (STEMI) and heart failure exacerbation in susceptible individuals. The risk of vascular events is increased even in exposures below the current European air quality limit values (mean annual levels for PM2.5 less than 10μg/m3, 24-hour mean level less than 25μg/m3). Purpose To evaluate predictive role of PM2.5 levels ≥20 μg/m3 one day prior to hospital admission for the risk of admission acute heart failure (AAHF) in STEMI patients. Methods In 290 STEMI patients (100 women, 190 men, mean age 65.5±12.9 years), treated by primary percutaneous coronary intervention (PPCI) in 2018, we retrospectively registered the AAHF, defined as classes II-IV by Killip Kimbal classification. Additionally, we registered admission clinical data, potentially contributing to AAHF in STEMI patients such as gender, age ≥65 years, prior resuscitation, admission cTnI ≥5 μg/L (normal levels up to 0.045 μg/L), comorbidities, time to PPCI, and mean daily levels of PM2.5 ≥20 μg/m3 one day before admission. Mean daily, freely available, levels of PM2.5 were measured and registered by Chemical analytic laboratory of Environmental agency of Republic Slovenia. We evaluated the predictive role of admission data for admission AHF in STEMI patients. Results AAHF was observed in 34.5% of STEMI patients with the mean daily PM2.5 level 15.7±10.9 μg/m3 on the day before admission. PPCI was performed in 92.1% of all STEMI patients, in AAHF in 87.1% and in non-AAHF patients in 94.7% (p=0.037). AAHF in comparison to non-AAHF was associated significantly with female gender (50.5% vs 25.9%, p&lt;0.001), age over 65 years (71.3% vs 45%, p&lt;0.001), prior diabetes (33.7% vs 14.8%, p&lt;0.001), left bundle branch block (LBBB) (10.9% vs 0.5%, &lt;0.001), admission cTnI ≥5 μg/L (46.7% vs 25.9%, p&lt;0.001) and mean daily levels of PM2.5 ≥20 μg/m3 one day before admission (31.7% vs 19%, p=0.020), but nonsignificantly with arterial hypertension, prior myocardial infarction, anterior STEMI and time to PPCI. Logistic regression demonstrated that significant independent predictors of AAHF were age over 65 years (OR 3.349, 95% CI 1.787 to 6.277, p&lt;0.001), prior diabetes (OR 2.934, 95% CI 1.478 to 5.821, p=0.002), admission LBBB (OR 10.526, 95% CI 1.181 to 93.787, p=0.03), prior resuscitation (OR 3.221, 95% CI 1.336 to 7.761, p=0.009), admission cTnI ≥5μg/l (OR 2.984, 95% CI 1.618 to 5.502, p&lt;0.001) and mean daily levels of PM2.5 ≥20 μg/m3 (OR 2.096, 95% CI 1.045 to 4.218, p=0.038) one day before admission. Conclusion Mean daily levels of PM2.5 ≥20μg/m3 one day before admission were among significant independent predictors of AAHF in STEMI patients. FUNDunding Acknowledgement Type of funding sources: None.

scholarly journals How small-scale variation in oyster reef patchiness influences predation on bivalves

2011 ◽  
Vol 429 ◽  
pp. 87-91 ◽  
Author(s):  
PI Macreadie ◽  
NR Geraldi ◽  
CH Peterson
Keyword(s):  
Oyster Reef ◽  
Small Scale ◽  
Scale Variation
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