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Träfflista för sökning "WFRF:(Steg Philippe Gabriel) ;pers:(Siegbahn Agneta 1947)"

Sökning: WFRF:(Steg Philippe Gabriel) > Siegbahn Agneta 1947

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1.
  • Batra, Gorav, et al. (författare)
  • Biomarker-Based Prediction of Recurrent Ischemic Events in Patients With Acute Coronary Syndromes
  • 2022
  • Ingår i: Journal of the American College of Cardiology. - : Elsevier. - 0735-1097 .- 1558-3597. ; 80:18, s. 1735-1747
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: In patients with acute coronary syndrome (ACS), there is residual and variable risk of recurrent ischemic events.OBJECTIVES: This study aimed to develop biomarker-based prediction models for 1-year risk of cardiovascular (CV) death and myocardial infarction (MI) in patients with ACS undergoing percutaneous coronary intervention.METHODS: We included 10,713 patients from the PLATO (A Comparison of Ticagrelor [AZD6140] and Clopidogrel in Patients With Acute Coronary Syndrome) trial in the development cohort and externally validated in 3,508 patients from the TRACER (Thrombin Receptor Antagonist for Clinical Event Reduction in Acute Coronary Syndrome) trial. Variables contributing to risk of CV death/MI were assessed using Cox regression models, and a score was derived using subsets of variables approximating the full model.RESULTS: There were 632 and 190 episodes of CV death/MI in the development and validation cohorts. The most important predictors of CV death/MI were the biomarkers, growth differentiation factor 15, and N-terminal pro-B-type natriuretic peptide, which had greater prognostic value than all candidate variables. The final model included 8 items: age (A), biomarkers (B) (growth differentiation factor 15 and N-terminal pro-B-type natriuretic peptide), and clinical variables (C) (extent of coronary artery disease, previous vascular disease, Killip class, ACS type, P2Y12 inhibitor). The model, named ABC-ACS ischemia, was well calibrated and showed good discriminatory ability for 1-year risk of CV death/MI with C-indices of 0.71 and 0.72 in the development and validation cohorts, respectively. For CV death, the score performed better, with C-indices of 0.80 and 0.84 in the development and validation cohorts, respectively.CONCLUSIONS: An 8-item score for the prediction of CV death/MI was developed and validated for patients with ACS undergoing percutaneous coronary intervention. The ABC-ACS ischemia score showed good calibration and discrimination and might be useful for risk prediction and decision support in patients with ACS. (A Comparison of Ticagrelor [AZD6140] and Clopidogrel in Patients With Acute Coronary Syndrome [PLATO]; NCT00391872; Trial to Assess the Effects of Vorapaxar [SCH 530348; MK-5348] in Preventing Heart Attack and Stroke in Participants With Acute Coronary Syndrome [TRACER]; NCT00527943)
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2.
  • Held, Claes, 1956-, et al. (författare)
  • Inflammatory Biomarkers Interleukin-6 and C-Reactive Protein and Outcomes in Stable Coronary Heart Disease : Experiences From the STABILITY (Stabilization of Atherosclerotic Plaque by Initiation of Darapladib Therapy) Trial
  • 2017
  • Ingår i: Journal of the American Heart Association. - 2047-9980. ; 6:10
  • Tidskriftsartikel (refereegranskat)abstract
    • BackgroundEvaluation of cardiovascular prognosis in patients with stable coronary heart disease is based on clinical characteristics and biomarkers indicating dysglycemia, dyslipidemia, renal dysfunction, and possibly cardiac dysfunction. Inflammation plays a key role in atherosclerosis, but the association between inflammatory biomarkers and clinical outcomes is less studied in this population.Methods and ResultsOverall, 15 828 patients with coronary heart disease in the STABILITY (Stabilization of Atherosclerotic Plaque by Initiation of Darapladib Therapy) trial werer and randomized to treatment with darapladib or placebo and observed for a median of 3.7 years. In 14 611 patients, levels of interleukin-6 (IL-6) and high-sensitivity C-reactive protein were measured in plasma samples: median levels were2.1 (interquartile range, 1.4-3.2) ng/Land1.3 (interquartile range, 0.6-3.1) mg/L, respectively. Associations between continuous levels or quartile groups and adjudicated outcomes were evaluated by spline graphs and Cox regression adjusted for clinical factors and cardiovascular biomarkers. IL-6 was associated with increased risk of major adverse cardiovascular events (quartile 4 versus quartile 1 hazard ratio [HR], 1.60; 95% confidence interval [CI], 1.30-1.97; P< 0.0001); cardiovascular death (HR, 2.15; 95% CI, 1.53-3.04; P< 0.0001); myocardial infarction (HR, 1.53; 95% CI, 1.14-2.04; P< 0.05); all-cause mortality (HR, 2.11; 95% CI, 1.62-2.76; P< 0.0001); and risk of hospitalization for heart failure (HR, 2.28; 95% CI, 1.34-3.89; P< 0.001). Cancer death was doubled in the highest IL-6 quartile group (HR, 2.34; 95% CI, 1.20-4.53; P< 0.05). High-sensitivity C-reactive protein was associated with both cardiovascular and non-cardiovascular events in the unadjusted model, but these did not remain after multivariable adjustments.ConclusionsIL-6, an upstream inflammatory marker, was independently associated with the risk of major adverse cardiovascular events, cardiovascular and all-cause mortality, myocardial infarction, heart failure, and cancer mortality in patients with stable coronary heart disease. IL-6 might reflect a pathophysiological process involved in the development of these events.
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3.
  • Lindholm, Daniel, 1982-, et al. (författare)
  • Biomarker-Based Risk Model to Predict Cardiovascular Mortality in Patients With Stable Coronary Disease
  • 2017
  • Ingår i: Journal of the American College of Cardiology. - : Elsevier. - 0735-1097 .- 1558-3597. ; 70:7, s. 813-826
  • Tidskriftsartikel (refereegranskat)abstract
    • Background Currently, there is no generally accepted model to predict outcomes in stable coronary heart disease (CHD).Objectives This study evaluated and compared the prognostic value of biomarkers and clinical variables to develop a biomarker-based prediction model in patients with stable CHD.Methods In a prospective, randomized trial cohort of 13,164 patients with stable CHD, we analyzed several candidate biomarkers and clinical variables and used multivariable Cox regression to develop a clinical prediction model based on the most important markers. The primary outcome was cardiovascular (CV) death, but model performance was also explored for other key outcomes. It was internally bootstrap validated, and externally validated in 1,547 patients in another study.Results During a median follow-up of 3.7 years, there were 591 cases of CV death. The 3 most important biomarkers were N-terminal pro–B-type natriuretic peptide (NT-proBNP), high-sensitivity cardiac troponin T (hs-cTnT), and low-density lipoprotein cholesterol, where NT-proBNP and hs-cTnT had greater prognostic value than any other biomarker or clinical variable. The final prediction model included age (A), biomarkers (B) (NT-proBNP, hs-cTnT, and low-density lipoprotein cholesterol), and clinical variables (C) (smoking, diabetes mellitus, and peripheral arterial disease). This “ABC-CHD” model had high discriminatory ability for CV death (c-index 0.81 in derivation cohort, 0.78 in validation cohort), with adequate calibration in both cohorts.Conclusions This model provided a robust tool for the prediction of CV death in patients with stable CHD. As it is based on a small number of readily available biomarkers and clinical factors, it can be widely employed to complement clinical assessment and guide management based on CV risk. (The Stabilization of Atherosclerotic Plaque by Initiation of Darapladib Therapy Trial [STABILITY]; NCT00799903)
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4.
  • Lindholm, Daniel P, 1982-, et al. (författare)
  • Association of Multiple Biomarkers With Risk of All-Cause and Cause-Specific Mortality After Acute Coronary Syndromes : A Secondary Analysis of the PLATO Biomarker Study
  • 2018
  • Ingår i: JAMA cardiology. - : American Medical Association (AMA). - 2380-6583 .- 2380-6591. ; 3:12, s. 1160-1166
  • Tidskriftsartikel (refereegranskat)abstract
    • Importance: Mortality remains at about 5% within a year after an acute coronary syndrome event. Prior studies have assessed biomarkers in relation to all-cause or cardiovascular deaths but not across multiple causes.Objective: To assess if different biomarkers provide information about the risk for all-cause and cause-specific mortality.Design, Setting, and Participants: The Platelet Inhibition and Patient Outcomes (PLATO) trial randomized 18 624 patients with acute coronary syndrome to ticagrelor or clopidogrel from October 2006 through July 2008. In this secondary analysis biomarker substudy, 17 095 patients participated.Main Outcomes and Measures: Death due to myocardial infarction, heart failure, sudden cardiac death/arrhythmia, bleeding, procedures, other vascular causes, and nonvascular causes, as well as all-cause death.Exposures: At baseline, levels of cystatin-C, growth differentiation factor-15 (GDF-15), high-sensitivity C-reactive protein, high-sensitivity troponin I and T, and N-terminal pro-B-type natriuretic peptide (NT-proBNP) were determined.Results: The median (interquartile range) age of patients was 62.0 (54.0-71.0) years. Of 17 095 patients, 782 (4.6%) died during follow-up. The continuous associations between biomarkers and all-cause and cause-specific mortality were modeled using Cox models and presented as hazard ratio (HR) comparing the upper vs lower quartile. For all-cause mortality, NT-proBNP and GDF-15 were the strongest markers with adjusted HRs of 2.96 (95% CI, 2.33-3.76) and 2.65 (95% CI, 2.17-3.24), respectively. Concerning death due to heart failure, NT-proBNP was associated with an 8-fold and C-reactive protein, GDF-15, and cystatin-C, with a 3-fold increase in risk. Regarding sudden cardiac death/arrhythmia, NT-proBNP was associated with a 4-fold increased risk and GDF-15 with a doubling in risk. Growth differentiation factor-15 had the strongest associations with other vascular and nonvascular deaths and was possibly associated with death due to major bleeding (HR, 4.91; 95% CI, 1.39-17.43).Conclusions and Relevance: In patients with acute coronary syndrome, baseline levels of NT-proBNP and GDF-15 were strong markers associated with all-cause death based on their associations with death due to heart failure as well as due to arrhythmia and sudden cardiac death. Growth differentiation factor-15 had the strongest associations with death due to other vascular or nonvascular causes and possibly with death due to bleeding.Trial Registration: ClinicalTrials.gov Identifier: NCT00391872.
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5.
  • Lindholm, Daniel P, 1982-, et al. (författare)
  • Growth Differentiation Factor 15 at 1 Month After an Acute Coronary Syndrome Is Associated With Increased Risk of Major Bleeding.
  • 2017
  • Ingår i: Journal of the American Heart Association. - 2047-9980. ; 6:4
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Growth differentiation factor-15 (GDF-15) is related to major bleeding when measured at initial presentation in patients with acute coronary syndromes (ACSs) treated with dual antiplatelet therapy. It is unknown whether follow-up measurements provide additional information. The objective of this study was to investigate whether GDF-15 measured 1 month after an ACS provides additional information beyond the baseline levels with regard to the risk of major bleeding.METHODS AND RESULTS: GDF-15 was measured at baseline and at 1 month after an ACS in 4049 patients included in the PLATelet inhibition and patient Outcomes (PLATO) trial. The association between 1-month GDF-15 level and non-coronary artery bypass grafting surgery-related major bleeding was assessed by a multivariable Cox model, adjusting for baseline GDF-15, age, anemia, impaired renal function, history of gastrointestinal bleeding, and sex. Elevated GDF-15 (>1800 ng/L) at 1 month was associated with an increased risk of non-coronary artery bypass grafting-related major bleeding (3.9% versus 1.2%; hazard ratio, 3.38; 95% CI, 1.89-6.06), independent of baseline GDF-15. Patients who had elevated GDF-15 levels at baseline and subsequent nonelevated GDF-15 at 1 month had a similar risk as patients who had nonelevated levels at both measurements.CONCLUSIONS: GDF-15 at 1 month after an ACS is related to the risk of bleeding during DAPT and provides additional information on the bleeding risk beyond baseline GDF-15 levels. GDF-15 levels may therefore be useful as part of decision support concerning long-term antithrombotic treatment in patients post-ACS.CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00391872.
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6.
  • Thomas, Mark R., et al. (författare)
  • Prognostic impact of baseline inflammatory markers in patients with acute coronary syndromes treated with ticagrelor and clopidogrel.
  • 2019
  • Ingår i: European Heart Journal. - : Oxford University Press (OUP). - 2048-8726 .- 2048-8734. ; 10:2, s. 153-163
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Inflammation plays a major role in the pathophysiology of coronary artery disease. We aimed to determine whether baseline inflammatory markers were associated with clinical outcomes and the observed superiority of ticagrelor compared to clopidogrel in patients with acute coronary syndromes in the PLATO study.METHODS: Blood samples were collected from 16,400 patients within 24 hours of the onset of acute coronary syndrome, at the time of random assignment to ticagrelor or clopidogrel in the PLATO study and prior to invasive procedures. The differential white blood cell count and plasma levels of C-reactive protein, interleukin-6 and interleukin-10 were determined and their relationships with clinical outcomes were assessed according to quartiles and using continuous models. The substudy primary endpoint was a composite of cardiovascular death and myocardial infarction.RESULTS: Compared to the lowest quartile, the risk of the primary endpoint was significantly elevated in patients in the highest quartile of white blood cell count (hazard ratio (HR) 1.30; P=0.01), neutrophil count (HR 1.33; P=0.007), monocyte count (HR 1.24; P=0.004), C-reactive protein (HR 1.93; P<0.001) and interleukin-6 (HR 2.29; P<0.001). This was predominantly driven by an association with cardiovascular death. Following adjustment for clinical characteristics, troponin, cystatin C and N-terminal pro-brain-type natriuretic peptide, only white blood cell count and neutrophil count maintained a significant association with the primary endpoint. Ticagrelor had a consistent relative cardiovascular benefit compared to clopidogrel in each quartile of each of the inflammatory markers.CONCLUSIONS: Acute coronary syndrome patients with elevated levels of baseline inflammatory markers are at increased risk of adverse cardiovascular events, particularly cardiovascular death. The consistent cardiovascular benefit of ticagrelor compared to clopidogrel tended to confer a greater absolute risk reduction in patients with the highest levels of inflammatory markers, as they were at highest risk.
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7.
  • Vedin, Ola, et al. (författare)
  • Associations between tooth loss and prognostic biomarkers and the risk for cardiovascular events in patients with stable coronary heart disease
  • 2017
  • Ingår i: International Journal of Cardiology. - : Elsevier BV. - 0167-5273 .- 1874-1754. ; 245, s. 271-276
  • Tidskriftsartikel (refereegranskat)abstract
    • Background:Underlying mechanisms behind the hypothesized relationship between periodontal disease (PD) and coronary heart disease (CHD) have been insufficiently explored. We evaluated associations between self-reported tooth loss-a marker of PD- and prognostic biomarkers in 15,456 (97%) patients with stable CHD in the global STABILITY trial.Methods and results:Baseline blood samples were obtained and patients reported their number of teeth according to the following tooth loss levels: "26-32 (All)" [lowest level], "20-25", "15-19", "1-14", and "No Teeth" [highest level]. Linear and Cox regression models assessed associations between tooth loss levels and biomarker levels, and the relationship between tooth loss levels and outcomes, respectively.After multivariable adjustment, the relative biomarker increase between the highest and the lowest tooth loss level was: high-sensitivity C-reactive protein 1.21 (95% confidence interval, 1.14-1.29), interleukin 6 1.14 (1.10-1.18), lipoprotein-associated phospholipase A(2) activity 1.05 (1.03-1.06), growth differentiation factor 15 1.11 (1.08-1.14), and N-terminal pro-B-type natriuretic peptide (NT-proBNP) 1.18 (1.11-1.25). No association was detected for high-sensitivity troponin T 1.02 (0.98-1.05). Some attenuation of the relationship between tooth loss and outcomes resulted from the addition of biomarkers to the multivariable analysis, of which NT-proBNP had the biggest impact.Conclusions:A graded and independent association between tooth loss and several prognostic biomarkers was observed, suggesting that tooth loss and its underlying mechanisms may be involved in multiple pathophysiological pathways also implicated in the development and prognosis of CHD. The association between tooth loss and cardiovascular death and stroke persisted despite comprehensive adjustment including prognostic biomarkers.
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8.
  • Zeitouni, Michel, et al. (författare)
  • Clinical and Pharmacological Effects of Apixaban Dose Adjustment in the ARISTOTLE Trial
  • 2020
  • Ingår i: Journal of the American College of Cardiology. - : ELSEVIER SCIENCE INC. - 0735-1097 .- 1558-3597. ; 75:10, s. 1145-1155
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: In the ARISTOTLE (Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation) trial, patients with atrial fibrillation and >= 2 dose-adjustment criteria (age >= 80 years, weight <= 60 kg, or creatinine >= 1.5 mg/dl [133 mu mol/l]) were randomized to receive apixaban 2.5 mg twice daily or warfarin.OBJECTIVES: The purpose of this study was to describe the effects of apixaban dose adjustment on clinical and pharmacological outcomes.METHODS: Patients receiving the correct dose of study drug were included (n = 18,073). The effect of apixaban 2.5 mg twice daily versus warfarin on population pharmacokinetics, D-dimer, prothrombin fragment 1 + 2 (PF1+2), and clinical outcomes was compared with the standard dose (5 mg twice daily).RESULTS: Patients receiving apixaban 2.5 mg twice daily exhibited lower apixaban exposure (median area under the concentration time curve at a steady state 2,720 ng/ml vs. 3,599 ng/ml; p < 0.0001) than those receiving the standard dose. In patients with >= 2 dose-adjustment criteria, reductions in D-dimers (p interaction = 0.20) and PF1+2 (p interaction = 0.55) were consistent with those observed in the standard-dose population. Patients with >= 2 dose-adjustment criteria (n = 751) were at higher risk for stroke/systemic embolism, major bleeding, and all-cause death than the standard-dose population (0 or 1 dose-adjustment criterion, n = 17,322). The effect of apixaban 2.5 mg twice daily versus warfarin in the >= 2 dose-adjustment criteria population was consistent with the standard dose in the reductions in stroke or systemic embolism (p interaction = 0.26), major bleeding (p interaction = 0.25), and death (p interaction = 0.72).CONCLUSIONS: Apixaban drug concentrations were lower in patients receiving 2.5 mg twice daily compared with 5 mg twice daily. However, the effects of apixaban dose adjustment to 2.5 mg versus warfarin were consistent for coagulation biomarkers and clinical outcomes, providing reassuring data on efficacy and safety. (Apixaban for the Prevention of Stroke in Subjects With Atrial Fibrillation [ARISTOTLE]; NCT00412984) 
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9.
  • Åkerblom, Axel, 1977-, et al. (författare)
  • Prevalence and relevance of abnormal glucose metabolism in acute coronary syndromes : insights from the PLATelet inhibition and patient Outcomes (PLATO) trial
  • 2019
  • Ingår i: Journal of Thrombosis and Thrombolysis. - : Springer. - 0929-5305 .- 1573-742X. ; 48:4, s. 563-569
  • Tidskriftsartikel (refereegranskat)abstract
    • Diabetes mellitus (DM) and abnormal glucose metabolism are associated with cardiovascular (CV) disease. We investigated the prevalence and prognostic importance of dysglycaemia in patients with acute coronary syndromes (ACS) in the PLATelet inhibition and patient Outcomes (PLATO) trial. Diabetes was defined as known diabetes or HbA1c >= 6.5% or non-fasting glucose >= 11.1 mmol/L on admission, prediabetes as HbA1c >= 5.7% but < 6.5%, and no diabetes as HbA1c < 5.7%. The primary endpoint was the composite of CV death, spontaneous myocardial infarction type 1 (sMI) or stroke at 12 months. Multivariable Cox regression models, adjusting for baseline characteristics, and biomarkers NT-proBNP and troponin I, were used to explore the association between glycaemia and outcome. On admission, 16,007 (86.1%) patients had HbA1c and/or glucose levels available and were subdivided into DM 38.5% (6160) (1501 patients had no previous DM diagnosis), prediabetes 38.8% (6210), and no DM 22.7% (3637). Kaplan Meier event rates at 12 months for CV death, sMI or stroke per subgroups were 14.5% (832), 9.0% (522), and 8.5% (293), respectively with multivariable adjusted HRs, versus no diabetes, for diabetes: 1.71 (1.50-1.95) and for prediabetes 1.03 (0.90-1.19). Corresponding event rates for CV death were 6.9% (391), 3.4% (195) and 3.0% (102), respectively, with adjusted HRs for patients with DM of: 1.92 (1.42-2.60) and for prediabetes 1.02 (0.79-1.32). Abnormal glucose metabolism is common in ACS patients, but only patients with definite DM have an increased CV risk, indicating that prediabetes is not immediately associated with worse CV outcomes.
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