Phosphorus content of ditch sediments as indicator of critical source areas

Selostus : Kilpailukykyinen menetelmä pistemäisten fosforikuormitusalueiden paikantamiseen

An integrated encyclopedia of DNA elements in the human genome.

The human genome encodes the blueprint of life, but the function of the vast majority of its nearly three billion bases is unknown. The Encyclopedia of DNA Elements (ENCODE) project has systematically mapped regions of transcription, transcription factor association, chromatin structure and histone modification. These data enabled us to assign biochemical functions for 80% of the genome, in particular outside of the well-studied protein-coding regions. Many discovered candidate regulatory elements are physically associated with one another and with expressed genes, providing new insights into the mechanisms of gene regulation. The newly identified elements also show a statistical correspondence to sequence variants linked to human disease, and can thereby guide interpretation of this variation. Overall, the project provides new insights into the organization and regulation of our genes and genome, and is an expansive resource of functional annotations for biomedical research.

Association of ECG abnormalities and incident heart failure events

Background: With the aging of the population, the heart failure (HF) incidence and prevalence trends are expected to significantly worsen unless concentrated prevention efforts are undertaken. ECG abnormalities are common in the elderly but data are limited for their association with HF risk. Objective: To assess whether baseline ECG abnormalities or dynamic changes are associated with an increased risk of HF. Method: A prospective cohort study of 2915 participants aged 70 to 79 years without a preexisting HF followed for a median period of 11.4 (IQR 7.0-11.7) years from the Health Aging and Body Composition study. The Minnesota Code was used to define major and minor ECG abnormalities at baseline and at 4-year. Main outcome measure was adjudicated incident HF events. Using Cox models, the (1) the association between ECG abnormalities and incident HF and (2) incremental value of adding ECG to the Health ABC HF Risk Score, was assessed. Results: At baseline, 380 participants (13.0%) had minor and 620 (21.3%) had major ECG abnormalities. During follow-up, 485 (16.6%) participants developed incident HF. After adjusting for the eight clinical variables in the Health ABC HF Risk Score, the hazard ratio (HR) was 1.27 (95% confidence interval [CI] 0.96-1.68) for minor and 1.99 (CI 1.61-2.44) for major ECG abnormalities (P for trend <0.001) compared to no ECG abnormalities. The association did not change according to presence of baseline CHD. At 4-year, 263 participants developed new and 549 had persistent abnormalities and both were associated with increased HF risk (HR = 1.94, CI 1.38-2.72 for new and HR=2.35, CI 1.82-3.02 for persistent compared to no ECG abnormalities). Baseline ECG correctly reclassified 10.6% of overall participants across the categories of the Health ABC HF Risk Score. Conclusion: Among older adults, baseline ECG abnormalities and changes in them over time are common; both are associated with an increased risk of HF. Whether ECG should be incorporated in routine screening of older adults should be evaluated in randomized controlled trials.

Association of major and minor ECG abnormalities with coronary heart disease events.

CONTEXT: In populations of older adults, prediction of coronary heart disease (CHD) events through traditional risk factors is less accurate than in middle-aged adults. Electrocardiographic (ECG) abnormalities are common in older adults and might be of value for CHD prediction. OBJECTIVE: To determine whether baseline ECG abnormalities or development of new and persistent ECG abnormalities are associated with increased CHD events. DESIGN, SETTING, AND PARTICIPANTS: A population-based study of 2192 white and black older adults aged 70 to 79 years from the Health, Aging, and Body Composition Study (Health ABC Study) without known cardiovascular disease. Adjudicated CHD events were collected over 8 years between 1997-1998 and 2006-2007. Baseline and 4-year ECG abnormalities were classified according to the Minnesota Code as major and minor. Using Cox proportional hazards regression models, the addition of ECG abnormalities to traditional risk factors were examined to predict CHD events. MAIN OUTCOME MEASURE: Adjudicated CHD events (acute myocardial infarction [MI], CHD death, and hospitalization for angina or coronary revascularization). RESULTS: At baseline, 276 participants (13%) had minor and 506 (23%) had major ECG abnormalities. During follow-up, 351 participants had CHD events (96 CHD deaths, 101 acute MIs, and 154 hospitalizations for angina or coronary revascularizations). Both baseline minor and major ECG abnormalities were associated with an increased risk of CHD after adjustment for traditional risk factors (17.2 per 1000 person-years among those with no abnormalities; 29.3 per 1000 person-years; hazard ratio [HR], 1.35; 95% CI, 1.02-1.81; for minor abnormalities; and 31.6 per 1000 person-years; HR, 1.51; 95% CI, 1.20-1.90; for major abnormalities). When ECG abnormalities were added to a model containing traditional risk factors alone, 13.6% of intermediate-risk participants with both major and minor ECG abnormalities were correctly reclassified (overall net reclassification improvement [NRI], 7.4%; 95% CI, 3.1%-19.0%; integrated discrimination improvement, 0.99%; 95% CI, 0.32%-2.15%). After 4 years, 208 participants had new and 416 had persistent abnormalities. Both new and persistent ECG abnormalities were associated with an increased risk of subsequent CHD events (HR, 2.01; 95% CI, 1.33-3.02; and HR, 1.66; 95% CI, 1.18-2.34; respectively). When added to the Framingham Risk Score, the NRI was not significant (5.7%; 95% CI, -0.4% to 11.8%). CONCLUSIONS: Major and minor ECG abnormalities among older adults were associated with an increased risk of CHD events. Depending on the model, adding ECG abnormalities was associated with improved risk prediction beyond traditional risk factors.

Dépistage de l'athérosclérose: point de la situation en 2006. [Screening for atherosclerosis: 2006 update].

In recent years, several screening tests for subclinical atherosclerosis have been developed. The aim of these tests is to be able to better target preventive therapies to patients at high cardiovascular risk. However, the validity of these screening tests has not been well established for wide use in clinical practice. Being aware of these tests results might also enhance patient motivation to change unhealthy behaviors, such as smoking. However, the effectiveness of such strategy has been poorly studied. Early therapy of atherosclerosis has not been shown to improve clinical outcomes yet. Moreover, potential harms of such screening, such as induced anxiety, have been poorly studied. Although promising, such screening should be validated by clinical trials before routine use in clinical practice.

Arsenic and heavy metal concentrations in agricultural soils in South Savo province

Selostus: Etelä-Savon viljelysmaan arseeni- ja raskasmetallipitoisuudet

Expected impact of applying new 2013 AHA/ACC cholesterol guidelines criteria on the recommended lipid target achievement after acute coronary syndromes.

BACKGROUND: 2013 AHA/ACC guidelines on the treatment of cholesterol advised to tailor high-intensity statin after ACS, while previous ATP-III recommended titration of statin to reach low-density lipoprotein cholesterol (LDL-C) targets. We simulated the impact of this change of paradigm on the achievement of recommended targets. METHODS: Among a prospective cohort study of consecutive patients hospitalized for ACS from 2009 to 2012 at four Swiss university hospitals, we analyzed 1602 patients who survived one year after recruitment. Targets based on the previous guidelines approach was defined as (1) achievement of LDL-C target < 1.8 mmol/l, (2) reduction of LDL-C ≥ 50% or (3) intensification of statin in patients who did not reach LDL-C targets. Targets based on the 2013 AHA/ACC guidelines approach was defined as the maximization of statin therapy at high-intensity in patients aged ≤75 years and moderate- or high-intensity statin in patients >75 years. RESULTS: 1578 (99%) patients were prescribed statin at discharge, with 1120 (70%) at high-intensity. 1507 patients (94%) reported taking statin at one year, with 909 (57%) at high-intensity. Among 482 patients discharged with sub-maximal statin, intensification of statin was only observed in 109 patients (23%). 773 (47%) patients reached the previous LDL-C targets, while 1014 (63%) reached the 2013 AHA/ACC guidelines targetsone year after ACS (p value < 0.001). CONCLUSION: The application of the new 2013 AHA/ACC guidelines criteria would substantially increase the proportion of patients achieving recommended lipid targets one year after ACS. Clinical trial number, NCT01075868.

Consommation d'alcool, syndrome métabolique et diabète dans une population à consommation moyenne d'alcool élevée

ButsDans la littérature actuelle, peu d'études existent sur la relation entre la consommation d'alcool et le syndrome métabolique. Les quelques données disponibles sont contradictoires et très limitées chez les buveurs à haut risque. Quant au diabète, une association est connue entre la consommation à bas risque d'alcool et une prévalence diminuée de la maladie. Là encore, les données sur la consommation à haut risque sont très limitées. Par conséquent, notre but était d'étudier la relation entre la consommation d'alcool, le syndrome métabolique et le diabète dans la cohorte lausannoise (CoLaus), où la consommation moyenne d'alcool est nettement plus élevée que dans la plupart des études disponibles, notamment celles des États-Unis.MéthodesNous avons analysé les données de 6172 hommes et femmes, âgés de 35 à 75 ans. La consommation d'alcool a été catégorisée en 0,1-6, 7-13, 14-20, 21-27, 28-34 et >35 boissons par semaine ou comme non-buveurs (0), buveurs à bas risque (1-13), à risque moyen à élevé (14-34) et à très haut risque (>35). Nous avons confirmé la consommation d'alcool par la y- glutamyl transferase et la transferrine déficiente en hydrates de carbone (CDT). Après l'analyse des caractéristiques des groupes de consommateurs, nous avons utilisé des régressions multivariées pour évaluer la relation entre la consommation d'alcool, la prévalence du syndrome métabolique et du diabète ainsi que la résistance à l'insuline, déterminée par le modèle d'homéostasie de la résistance à l'insuline (HOMA-IR). Dans le modèle d'ajustement, nous avons inclus l'âge, le genre, le status tabagique, l'activité physique et le niveau de formation. Nous avons aussi comparé la relation du type d'alcool (vin, bière et spiritueux) avec le syndrome métabolique, le diabète et le HOMA-IR en testant l'hypothèse d'égalité de leurs coefficients de régression, après ajustement.RésultatsParmi les participants, 73% buvaient de l'alcool, 16% étant buveurs à risque moyen à élevé et 2% à risque très élevé. En analyse multivariée, la prévalence du syndrome métabolique et du diabète ainsi que le HOMA-IR moyen diminuaient avec la consommation d'alcool à bas risque et augmentaient avec la consommation à très haut risque, montrant une relation en U. La prévalence ajustée du syndrome métabolique était de 24% chez les non-buveurs, 19% chez les buveurs à bas risque (p<0.001 vs. non-buveurs), 20% chez ceux à risque moyen à élevé et 29% chez ceux à très haut risque (p=0.005 vs. bas risque). La prévalence ajustée du diabète était de 6.0% chez les non-buveurs, 3.6% chez les buveurs à bas risque (p<0.001 vs. non-buveurs), 3.8% chez ceux à risque moyen à élevé et 6.7% chez ceux à très haut risque (p=0.046 vs. bas risque). Le HOMA-IR moyen ajusté était de 2.47 chez les non-buveurs, 2.14 chez ceux à bas risque (pcO.OOl vs. non-buveurs), 2.27 chez ceux à risque moyen à élevé et 2.53 chez ceux à très haut risque (p=0.04 vs. bas risque). Ces relations ne différaient pas selon les types de boissons.ConclusionsLa prévalence du syndrome métabolique, du diabète et le HOMA-IR baissent pour les faibles consommations d'alcool, mais augmentent à nouveau avec les plus fortes consommations, sans différence entre les types de boissons.