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Träfflista för sökning "WFRF:(Masson Serge) "

Sökning: WFRF:(Masson Serge)

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1.
  • Aimo, Alberto, et al. (författare)
  • High-sensitivity troponin T, NT-proBNP and glomerular filtration rate : A multimarker strategy for risk stratification in chronic heart failure
  • 2019
  • Ingår i: International Journal of Cardiology. - : Elsevier BV. - 0167-5273 .- 1874-1754. ; 277, s. 166-172
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: In a recent individual patient data meta-analysis, high-sensitivity troponin T (hs-TnT) emerged as robust predictor of prognosis in stable chronic heart failure (HF). In the same population, we compared the relative predictive performances of hs-TnT, N-terminal fraction of pro-B-type natriuretic peptide (NT-proBNP), hs-C-reactive protein (hs-CRP), and estimated glomerular filtration rate (eGFR) for prognosis.Methods and results: 9289 patients (66 ± 12 years, 77% men, 85% LVEF <40%, 60% ischemic HF) were evaluated over a 2.4-year median follow-up. Median eGFR was 58 mL/min/1.73 m2 (interquartile interval 46–70; n = 9220), hs-TnT 16 ng/L (8–20; n = 9289), NT-proBNP 1067 ng/L (433–2470; n = 8845), and hs-CRP 3.3 mg/L (1.4–7.8; n = 7083). In a model including all 3 biomarkers, only hs-TnT and NT-proBNP were independent predictors of all-cause and cardiovascular mortality and cardiovascular hospitalization. hs-TnT was a stronger predictor than NT-proBNP: for example, the risk for all-cause death increased by 54% per doubling of hs-TnT vs. 24% per doubling of NT-proBNP. eGFR showed independent prognostic value from both hs-TnT and NT-proBNP. The best hs-TnT and NT-proBNP cut-offs for the prediction of all-cause death increased progressively with declining renal function (eGFR ≥ 90: hs-TnT 13 ng/L and NT-proBNP 825 ng/L; eGFR < 30: hs-TnT 40 ng/L and NT-proBNP 4608 ng/L). Patient categorization according to these cut-offs effectively stratified patient prognosis across all eGFR classes.Conclusions: hs-TnT conveys independent prognostic information from NT-proBNP, while hs-CRP does not. Concomitant assessment of eGFR may further refine risk stratification. Patient classification according to hs-TnT and NT-proBNP cut-offs specific for the eGFR classes holds prognostic significance.
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2.
  • Aimo, Alberto, et al. (författare)
  • Prognostic Value of High-Sensitivity Troponin T in Chronic Heart Failure : An Individual Patient Data Meta-Analysis
  • 2018
  • Ingår i: Circulation. - 0009-7322 .- 1524-4539. ; 137:3, s. 286-297
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Most patients with chronic heart failure have detectable troponin concentrations when evaluated by high-sensitivity assays. The prognostic relevance of this finding has not been clearly established so far. We aimed to assess high-sensitivity troponin assay for risk stratification in chronic heart failure through a meta-analysis approach.Methods: Medline, EMBASE, Cochrane Library, and Scopus were searched in April 2017 by 2 independent authors. The terms were “troponin” AND “heart failure” OR “cardiac failure” OR “cardiac dysfunction” OR “cardiac insufficiency” OR “left ventricular dysfunction.” Inclusion criteria were English language, clinical stability, use of a high-sensitivity troponin assay, follow-up studies, and availability of individual patient data after request to authors. Data retrieved from articles and provided by authors were used in agreement with the PRISMA statement. The end points were all-cause death, cardiovascular death, and hospitalization for cardiovascular cause.Results: Ten studies were included, reporting data on 11 cohorts and 9289 patients (age 66±12 years, 77% men, 60% ischemic heart failure, 85% with left ventricular ejection fraction <40%). High-sensitivity troponin T data were available for all patients, whereas only 209 patients also had high-sensitivity troponin I assayed. When added to a prognostic model including established risk markers (sex, age, ischemic versus nonischemic etiology, left ventricular ejection fraction, estimated glomerular filtration rate, and N-terminal fraction of pro-B-type natriuretic peptide), high-sensitivity troponin T remained independently associated with all-cause mortality (hazard ratio, 1.48; 95% confidence interval, 1.41–1.55), cardiovascular mortality (hazard ratio, 1.40; 95% confidence interval, 1.33–1.48), and cardiovascular hospitalization (hazard ratio, 1.42; 95% confidence interval, 1.36–1.49), over a median 2.4-year follow-up (all P<0.001). High-sensitivity troponin T significantly improved risk prediction when added to a prognostic model including the variables above. It also displayed an independent prognostic value for all outcomes in almost all population subgroups. The area under the curve–derived 18 ng/L cutoff yielded independent prognostic value for the 3 end points in both men and women, patients with either ischemic or nonischemic etiology, and across categories of renal dysfunction.Conclusions: In chronic heart failure, high-sensitivity troponin T is a strong and independent predictor of all-cause and cardiovascular mortality, and of hospitalization for cardiovascular causes, as well. This biomarker then represents an additional tool for prognostic stratification.
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3.
  • Gascon Diez, Elena, et al. (författare)
  • Influence of a wastewater treatment plant on mercury contamination and sediment characteristics in Vidy Bay (Lake Geneva, Switzerland)
  • 2014
  • Ingår i: Aquatic Sciences. - : Springer Science and Business Media LLC. - 1015-1621 .- 1420-9055. ; 76:S1, s. S21-S32
  • Tidskriftsartikel (refereegranskat)abstract
    • Previous direct observations of the sediment surface in Vidy Bay, Lake Geneva (Switzerland), revealed a range of sediment characteristics in terms of colour, texture and morphology. Dives with the MIR submersibles during the éLEMO project permitted the exploration of a large portion of Vidy Bay. It is the most contaminated part of Lake Geneva, due to inputs of treated and untreated waters from a large wastewater treatment plant (WWTP). To evaluate the influence of WWTP effluent on mercury contamination and sediment characteristics, 14 sediment cores were retrieved in the vicinity of the wastewater treatment plant effluent. Total mercury concentrations in sediments ranged between 0.32 and 10.1 mg/kg. Inorganic mercury and monomethylmercury concentrations in overlying and pore waters were also measured. The total partition coefficients of mercury (logK d) ranged from 3.6 to 5.8. The monomethylmercury concentration in pore waters of surface sediments was a large proportion of the total mercury concentration (44 ± 25 %). A Spearman test showed a negative correlation between the distance to the wastewater treatment plant outlet and the concentrations of total mercury in sediments and pore waters. Visual observations from the submersible allowed recognizing six different types of sediment. The areal distribution of these different sediment types clearly showed the influence of the wastewater treatment plant outlet on the sediment surface patterns. However, no relationship with mercury concentrations could be established.
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4.
  • Huie, J. Russell, et al. (författare)
  • Biomarkers for Traumatic Brain Injury : Data Standards and Statistical Considerations
  • 2021
  • Ingår i: Journal of Neurotrauma. - : Mary Ann Liebert. - 0897-7151 .- 1557-9042. ; 38:18, s. 2514-2529
  • Tidskriftsartikel (refereegranskat)abstract
    • Recent biomarker innovations hold potential for transforming diagnosis, prognostic modeling, and precision therapeutic targeting of traumatic brain injury (TBI). However, many biomarkers, including brain imaging, genomics, and proteomics, involve vast quantities of high-throughput and high-content data. Management, curation, analysis, and evidence synthesis of these data are not trivial tasks. In this review, we discuss data management concepts and statistical and data sharing strategies when dealing with biomarker data in the context of TBI research. We propose that application of biomarkers involves three distinct steps-discovery, evaluation, and evidence synthesis. First, complex/big data has to be reduced to useful data elements at the stage of biomarker discovery. Second, inferential statistical approaches must be applied to these biomarker data elements for assessment of biomarker clinical utility and validity. Last, synthesis of relevant research is required to support practice guidelines and enable health decisions informed by the highest quality, up-to-date evidence available. We focus our discussion around recent experiences from the International Traumatic Brain Injury Research (InTBIR) initiative, with a specific focus on four major clinical projects (Transforming Research and Clinical Knowledge in TBI, Collaborative European NeuroTrauma Effectiveness Research in TBI, Collaborative Research on Acute Traumatic Brain Injury in Intensive Care Medicine in Europe, and Approaches and Decisions in Acute Pediatric TBI Trial), which are currently enrolling subjects in North America and Europe. We discuss common data elements, data collection efforts, data-sharing opportunities, and challenges, as well as examine the statistical techniques required to realize successful adoption and use of biomarkers in the clinic as a foundation for precision medicine in TBI.
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5.
  • Rosjo, Helge, et al. (författare)
  • Prognostic Value of Secretoneurin in Patients With Severe Sepsis and Septic Shock : Data From the Albumin Italian Outcome Sepsis Study
  • 2018
  • Ingår i: Critical Care Medicine. - : LIPPINCOTT WILLIAMS & WILKINS. - 0090-3493 .- 1530-0293. ; 46:5, s. E404-E410
  • Tidskriftsartikel (refereegranskat)abstract
    • Objectives: Secretoneurin directly influences cardiomyocyte calcium handling, and circulating secretoneurin levels seem to improve risk prediction in patients with myocardial dysfunction by integrating information on systemic stress, myocardial function, and renal function. Accordingly, in this study, we hypothesized that secretoneurin would improve risk prediction in patients with sepsis and especially in patients with septic shock as these patients are more hemodynamically unstable. Design: Multicenter, interventional randomized clinical trial. Setting: Multicenter, pragmatic, open-label, randomized, prospective clinical trial testing fluid administration with either 20% human albumin and crystalloids or crystalloid solutions alone in patients with severe sepsis or septic shock (The Albumin Italian Outcome Sepsis). Patients or Subjects: In total, 540 patients with septic shock and 418 patients with severe sepsis. Interventions: Either 20% human albumin and crystalloids or crystalloid solutions alone. Measurements and Main Results: We measured secretoneurin on days 1, 2, and 7 after randomization and compared the prognostic value of secretoneurin for ICU and 90-day mortality with established risk indices and cardiac biomarkers in septic shock and severe sepsis. High secretoneurin levels on day 1 were associated with age and serum concentrations of lactate, bilirubin, creatinine, and N-terminal pro-B-type natriuretic peptide. Adjusting for established risk factors and cardiovascular biomarkers, secretoneurin levels on day 1 were associated with ICU (odds ratio, 2.27 [95% CI, 1.05-4.93]; p = 0.04) and 90-day mortality (2.04 [1.02-4.10]; p = 0.04) in patients with septic shock, but not severe sepsis without shock. Secretoneurin levels on day 2 were also associated with ICU (3.11 [1.34-7.20]; p = 0.008) and 90-day mortality (2.69 [1.26-5.78]; p = 0.01) in multivariate regression analyses and improved reclassification in patients with septic shock, as assessed by the net reclassification index. Randomized albumin administration did not influence the associations between secretoneurin and outcomes. Conclusions: Secretoneurin provides early and potent prognostic information in septic patients with cardiovascular instability.
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