13 research outputs found

    Pathophysiology of LV Remodeling in Survivors of STEMI Inflammation, Remote Myocardium, and Prognosis

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    AbstractObjectivesThe aim of this study was to investigate the clinical significance of native T1 values in remote myocardium in survivors of acute ST-segment elevation myocardial infarction (STEMI).BackgroundThe pathophysiology and prognostic significance of remote myocardium in the natural history of STEMI is uncertain. Cardiac magnetic resonance (CMR) reveals myocardial function and pathology. Native T1 (relaxation time in ms) is a fundamental magnetic resonance tissue property determined by water content and cellularity.ResultsA total of 300 STEMI patients (mean age 59 years; 74% male) gave informed consent. A total of 288 STEMI patients had evaluable native T1 CMR, and 267 patients (91%) had follow-up CMR at 6 months. Health outcome information was obtained for all of the participants (median follow-up 845 days). Infarct size was 18 ± 13% of left ventricular (LV) mass. Two days post-STEMI, native T1 was lower in remote myocardium than in the infarct zone (961 ± 25 ms vs. 1,097 ± 52 ms; p < 0.01). In multivariable regression, incomplete ST-segment resolution was associated with myocardial remote zone native T1 (regression coefficient 9.42; 95% confidence interval [CI]: 2.37 to 16.47; p = 0.009), as were the log of the admission C-reactive protein concentration (3.01; 95% CI: 0.016 to 5.85; p = 0.038) and the peak monocyte count (10.20; 95% CI: 0.74 to 19.67; p = 0.035). Remote T1 at baseline was associated with log N-terminal pro–B-type natriuretic peptide at 6 months (0.01; 95% CI: 0.00 to 0.02; p = 0.002; n = 151) and the change in LV end-diastolic volume from baseline to 6 months (0.13; 95% CI: 0.01 to 0.24; p = 0.035). Remote zone native T1 was independently associated with post-discharge major adverse cardiac events (n = 20 events; hazard ratio: 1.016; 95% CI: 1.000 to 1.032; p = 0.048) and all-cause death or heart failure hospitalization (n = 30 events during admission and post-discharge; hazard ratio: 1.014; 95% CI: 1.000 to 1.028; p = 0.049).ConclusionsReperfusion injury and inflammation early post-MI was associated with remote zone T1, which in turn was independently associated with LV remodeling and adverse cardiac events post-STEMI. (Detection and Significance of Heart Injury in ST Elevation Myocardial Infarction [BHF MR-MI]; NCT02072850

    Nina Sun Eidsheim, Sensing Sound: Singing & Listening as Vibrational Practice (2015)

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    no abstract --- JSTOR link to article (restricted access) - https://www.jstor.org/stable/4484195

    Panmictic Structure of the Cryptosporidium parvum Population in Irish Calves: Influence of Prevalence and Host Movement

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    In total, 245 Cryptosporidium parvum specimens obtained from calves in 205 Irish herds between 2003 and 2005 were subtyped by sequencing the glycoprotein gene gp60 and performing multilocus analysis of seven markers. The transmission dynamics of C. parvum and the influence of temporal, spatial, parasitic, and host-related factors on the parasite (sub)populations were studied. The relationship of those factors to the risk of cryptosporidiosis was also investigated using results from 1,368 fecal specimens submitted to the veterinary laboratories for routine diagnosis during 2005. The prevalence was greatest in the northwest and midwest of the country and on farms that bought in calves. The panmixia (random mating) detected in the C. parvum population may relate to its high prevalence, the cattle density, and the frequent movement of cattle. However, local variations in these factors were reflected in the C. parvum subpopulations. This study demonstrated the importance of biosecurity in the control of bovine cryptosporidiosis (e.g., isolation and testing of calves before introduction into a herd). Furthermore, the zoonotic risk of C. parvum was confirmed, as most specimens possessed GP60 and MS1 subtypes previously described in humans.status: publishe

    Panmictic structure of the Cryptosporidium parvum population in Irish calves: influence of prevalence and host movement

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    In total, 245 Cryptosporidium parvum specimens obtained from calves in 205 Irish herds between 2003 and 2005 were subtyped by sequencing the glycoprotein gene gp60 and performing multilocus analysis of seven markers. The transmission dynamics of C. parvum and the influence of temporal, spatial, parasitic, and host-related factors on the parasite (sub)populations were studied. The relationship of those factors to the risk of cryptosporidiosis was also investigated using results from 1,368 fecal specimens submitted to the veterinary laboratories for routine diagnosis during 2005. The prevalence was greatest in the northwest and midwest of the country and on farms that bought in calves. The panmixia (random mating) detected in the C. parvum population may relate to its high prevalence, the cattle density, and the frequent movement of cattle. However, local variations in these factors were reflected in the C. parvum subpopulations. This study demonstrated the importance of biosecurity in the control of bovine cryptosporidiosis (e.g., isolation and testing of calves before introduction into a herd). Furthermore, the zoonotic risk of C. parvum was confirmed, as most specimens possessed GP60 and MS1 subtypes previously described in humans

    The influence of landscape characteristics and home-range size on the quantification of landscape-genetics relationships

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    A common approach used to estimate landscape resistance involves comparing correlations of ecological and genetic distances calculated among individuals of a species. However, the location of sampled individuals may contain some degree of spatial uncertainty due to the natural variation of animals moving through their home range or measurement error in plant or animal locations. In this study, we evaluate the ways that spatial uncertainty, landscape characteristics, and genetic stochasticity interact to influence the strength and variability of conclusions about landscape-genetics relationships. We used a neutral landscape model to generate 45 landscapes composed of habitat and non-habitat, varying in percent habitat, aggregation, and structural connectivity (patch cohesion). We created true and alternate locations for 500 individuals, calculated ecological distances (least-cost paths), and simulated genetic distances among individuals. We compared correlations between ecological distances for true and alternate locations. We then simulated genotypes at 15 neutral loci and investigated whether the same influences could be detected in simple Mantel tests and while controlling for the effects of isolation-by distance using the partial Mantel test. Spatial uncertainty interacted with the percentage of habitat in the landscape, but led to only small reductions in correlations. Furthermore, the strongest correlations occurred with low percent habitat, high aggregation, and low to intermediate levels of cohesion. Overall genetic stochasticity was relatively low and was influenced by landscape characteristics
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