7 research outputs found

    Long-Term Variation in Kidney Function and Its Impact After Acute Myocardial Infarction

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    Kidney disease (KD) in patients with acute myocardial infarction (AMI) is associated with major cardiovascular events (MACE). We sought to compare the long-term variation in KD in patients with AMI versus controls and its value as a risk factor for MACE in patients with AMI. A cohort of 300 outpatients with AMI, recruited between 2014 and 2016 in Barcelona, Spain, were compared with a control cohort matched 1:1 based on age and several risk factors for developing KD. Annual estimated glomerular filtration rate (eGFR) using MDRD-4 formula and albuminuria were collected and patients were followed up for the occurrence of MACE (death, heart failure hospitalization, AMI, or stroke). After a median follow-up of 5.3 years, the decline in eGFR was more pronounced in patients with AMI (−1.15 ml/min/1.73 m2/ per year in patients with AMI vs −0.81 ml/min/1.73 m2 per year in controls, p = 0.018 between the ß coefficients of both regression slopes). In patients with AMI, those with the greatest eGFR decline during follow-up had more MACE (hazard ratio [HR] for first vs fourth quartiles = 3.33, p <0.001). In multivariate analysis, after excluding patients with baseline KD, a newly diagnosed eGFR <60 ml/min/1.73 m2 during follow-up was associated with MACE (HR = 3.21, p <0.001), as well as new onset albuminuria >30 mg/g (HR = 6.93, p <0.001) and the combination of both (HR 5.63, p <0.001). In conclusion, the decline in eGFR after AMI is more pronounced than in the general population. A longitudinal drop in eGFR and newly diagnosed albuminuria during follow-up are associated with MACE and can be useful tools to reclassify the risk profile after AMI

    Flow cytometric identification and enumeration of photosynthetic sulfur bacteria and potential for ecophysiological studies at the single-cell level

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    17 páginas, 9 figuras, 2 tablas.We show the potential of flow cytometry as a fast tool for population identification and enumeration of photosynthetic sulfur bacteria. Purple (PSB) and green sulfur bacteria (GSB) oxidize hydrogen sulfide to elemental sulfur that can act as storage compound to be further oxidized to sulfate generating the reducing power required for growth. Both groups have different elemental sulfur allocation strategies: whereas PSB store elemental sulfur as intracellular inclusions, GSB allocate sulfur globules externally. We used well-characterized laboratory strains and complex natural photosynthetic populations developing in a sharply stratified meromictic lake to show that PSB and GSB could be detected, differentiated and enumerated in unstained samples using a blue laser-based flow cytometer. Variations in cell-specific pigment content and the dynamics of sulfur accumulation, both intra- and extracellularly, were also detected in flow cytometric plots as sulfur accumulation changed the light scatter characteristics of the cells. These data were used to show the potential for studies on the metabolic status and the rate of activity at the single-cell level. Flow cytometric identification and enumeration resulted in faster and more precise analyses than previous approaches, and may open the door to more complex ecophysiological experiments with photosynthetic sulfur bacteria in mixed cultures and natural environments.This work was financed by the coordinated project VIARC Grant No. REN2003-08333 to E.O.C. and C.M.B. and MicroDiff and Modivus Grants REN2001-2120/MAR and CTM2005-04795/MAR to J.M.G. from the Spanish Ministerio de Educación y Ciencia (MEC). We thank J. Mas for support and lab facilities at the Department of Genetics and Microbiology, Autonomous University of Barcelona. E.O.C. benefits from the Program Ramon y Cajal of the Spanish MEC and FEDER.Peer reviewe

    Microbes as engines of ecosystem function: When does community structure enhance predictions of ecosystem processes?: Linking microbes to ecosystem processes

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    International audienceMicroorganisms are vital in mediating the earth's biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, the relationship between microbial community structure and ecosystem processes remains poorly understood. Here, we address a fundamental and unanswered question in microbial ecology: 'When do we need to understand microbial community structure to accurately predict function?' We present a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets. Environmental variables were the strongest predictors of process rates but left 44% of variation unexplained on average, suggesting the potential for microbial data to increase model accuracy. Although only 29% of our datasets were significantly improved by adding information on microbial community structure, we observed improvement in models of processes mediated by narrow phylogenetic guilds via functional gene data, and conversely, improvement in models of facultative microbial processes via community diversity metrics. Our results also suggest that microbial diversity can strengthen predictions of respiration rates beyond microbial biomass parameters, as 53% of models were improved by incorporating both sets of predictors compared to 35% by microbial biomass alone. Our analysis represents the first comprehensive analysis of research examining links between microbial community structure and ecosystem function. Taken together, our results indicate that a greater understanding of microbial communities informed by ecological principles may enhance our ability to predict ecosystem process rates relative to assessments based on environmental variables and microbial physiology

    Reperfusion therapies and in-hospital outcomes for ST-elevation myocardial infarction in Europe: The ACVC-EAPCI EORP STEMI Registry of the European Society of Cardiology

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    Aims: The aim of this study was to determine the contemporary use of reperfusion therapy in the European Society of Cardiology (ESC) member and affiliated countries and adherence to ESC clinical practice guidelines in patients with ST-elevation myocardial infarction (STEMI). Methods and results: Prospective cohort (EURObservational Research Programme STEMI Registry) of hospitalized STEMI patients with symptom onset <24 h in 196 centres across 29 countries. A total of 11 462 patients were enrolled, for whom primary percutaneous coronary intervention (PCI) (total cohort frequency: 72.2%, country frequency range 0-100%), fibrinolysis (18.8%; 0-100%), and no reperfusion therapy (9.0%; 0-75%) were performed. Corresponding in-hospital mortality rates from any cause were 3.1%, 4.4%, and 14.1% and overall mortality was 4.4% (country range 2.5-5.9%). Achievement of quality indicators for reperfusion was reported for 92.7% (region range 84.8-97.5%) for the performance of reperfusion therapy of all patients with STEMI <12 h and 54.4% (region range 37.1-70.1%) for timely reperfusion. Conclusions: The use of reperfusion therapy for STEMI in the ESC member and affiliated countries was high. Primary PCI was the most frequently used treatment and associated total in-hospital mortality was below 5%. However, there was geographic variation in the use of primary PCI, which was associated with differences in in-hospital mortality

    Cohort profile: the ESC EURObservational Research Programme Non-ST-segment elevation myocardial infraction (NSTEMI) Registry

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    Aims The European Society of Cardiology (ESC) EURObservational Research Programme (EORP) Non-ST-segment elevation myocardial infarction (NSTEMI) Registry aims to identify international patterns in NSTEMI management in clinical practice and outcomes against the 2015 ESC Guidelines for the management of acute coronary syndromes in patients presenting without ST-segment-elevation. Methods and results Consecutively hospitalised adult NSTEMI patients (n = 3620) were enrolled between 11 March 2019 and 6 March 2021, and individual patient data prospectively collected at 287 centres in 59 participating countries during a two-week enrolment period per centre. The registry collected data relating to baseline characteristics, major outcomes (inhospital death, acute heart failure, cardiogenic shock, bleeding, stroke/transient ischaemic attack, and 30-day mortality) and guideline-recommended NSTEMI care interventions: electrocardiogram pre- or in-hospital, prehospitalization receipt of aspirin, echocardiography, coronary angiography, referral to cardiac rehabilitation, smoking cessation advice, dietary advice, and prescription on discharge of aspirin, P2Y12 inhibition, angiotensin converting enzyme inhibitor (ACEi)/angiotensin receptor blocker (ARB), beta-blocker, and statin. Conclusion The EORP NSTEMI Registry is an international, prospective registry of care and outcomes of patients treated for NSTEMI, which will provide unique insights into the contemporary management of hospitalised NSTEMI patients, compliance with ESC 2015 NSTEMI Guidelines, and identify potential barriers to optimal management of this common clinical presentation associated with significant morbidity and mortality
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