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- Costa, Francesco, et al.
(författare)
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Derivation and validation of the predicting bleeding complications in patients undergoing stent implantation and subsequent dual antiplatelet therapy (PRECISE-DAPT) score : a pooled analysis of individual-patient datasets from clinical trials
- 2017
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Ingår i: The Lancet. - 0140-6736 .- 1474-547X. ; 389:10073, s. 1025-1034
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Tidskriftsartikel (refereegranskat)abstract
- Background: Dual antiplatelet therapy (DAPT) with aspirin plus a P2Y(12) inhibitor prevents ischaemic events after coronary stenting, but increases bleeding. Guidelines support weighting bleeding risk before the selection of treatment duration, but no standardised tool exists for this purpose.Methods: A total of 14 963 patients treated with DAPT after coronary stenting-largely consisting of aspirin and clopidogrel and without indication to oral anticoagulation-were pooled at a single-patient level from eight multicentre randomised clinical trials with independent adjudication of events. Using Cox proportional hazards regression, we identified predictors of out-of-hospital Thrombosis in Myocardial Infarction (TIMI) major or minor bleeding stratified by trial, and developed a numerical bleeding risk score. The predictive performance of the novel score was assessed in the derivation cohort and validated in patients treated with percutaneous coronary intervention from the PLATelet inhibition and patient Outcomes (PLATO) trial (n=8595) and BernPCI registry (n=6172). The novel score was assessed within patients randomised to different DAPT durations (n=10 081) to identify the effect on bleeding and ischaemia of a long (12-24 months) or short (3-6 months) treatment in relation to baseline bleeding risk.Findings: The PRECISE-DAPT score (age, creatinine clearance, haemoglobin, white-blood-cell count, and previous spontaneous bleeding) showed a c-index for out-of-hospital TIMI major or minor bleeding of 0.73 (95% CI 0.61-0.85) in the derivation cohort, and 0.70 (0.65-0.74) in the PLATO trial validation cohort and 0.66 (0.61-0.71) in the BernPCI registry validation cohort. A longer DAPT duration significantly increased bleeding in patients at high risk (score >= 25), but not in those with lower risk profiles (p(interaction)=0.007), and exerted a significant ischaemic benefit only in this latter group.Interpretation: The PRECISE-DAPT score is a simple five-item risk score, which provides a standardised tool for the prediction of out-of-hospital bleeding during DAPT. In the context of a comprehensive clinical evaluation process, this tool can support clinical decision making for treatment duration.
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- Ducrocq, Gregory, et al.
(författare)
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Balancing the risk of spontaneous ischemic and major bleeding events in acute coronary syndromes
- 2017
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Ingår i: American Heart Journal. - : MOSBY-ELSEVIER. - 0002-8703 .- 1097-6744. ; 186, s. 91-99
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Tidskriftsartikel (refereegranskat)abstract
- Background: Evaluation of antithrombotic treatments for acute coronary syndromes (ACS) requires balancing ischemic and bleeding risks to assess net benefit. We sought to compare the relative effects of ischemic and bleeding events on mortality.Methods: In the PLATelet inhibition and patient Outcomes (PLATO) trial, we compared spontaneous ischemic events (myocardial infarction or stroke) with spontaneous major bleeding events (PLATO major, Thrombolysis In Myocardial Infarction [TIMI] major, Global Utilization of Streptokinase and Tissue Plasminogen Activator for Occluded Coronary Arteries [GUSTO] severe) with respect to risk of mortality using time-dependent Cox proportional hazards models. The comparison was performed using ratio of hazard ratios for mortality increase after ischemic vs bleeding events.Results: A total of 822 patients (4.4%) had >= 1 spontaneous ischemic event; 485 patients (2.6%), >= 1 spontaneous PLATO major bleed, 282 (1.5%), >= 1 spontaneous TIMI major bleed; and 207 (1.1%), >= 1 spontaneous severe GUSTO bleed. In patients who had both events, bleeding occurred first in most patients. Regardless of classification, major bleeding events were associated with increased short- and long-term mortality that were not significantly different from the increase associated with spontaneous ischemic events: ratio of hazard ratios (95% Cls) for short- and long-term mortality after spontaneous ischemic vs bleeding events: 1.46 (0.98-2.19) and 0.92 (0.52-1.62) (PLATO major); 1.26 (0.80-1.96) and 1.19 (0.58-2.24) (TIMI major), 0.72 (0.47-1.10) and 0.83 (0.38-1.79) (GUSTO severe) (all P > 0.05)Conclusions: In patients with ACS on dual antiplatelet therapy, spontaneous major bleeding events seem "prognostically equivalent" to spontaneous ischemic complications. This result allows quantitative comparisons between both actual and predicted bleeding and ischemic risks. Our findings help to better define net clinical benefit of antithrombotic treatments and more accurately estimate mortality after ischemic and bleeding events in patients with ACS.
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- Hagström, Emil, et al.
(författare)
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Growth Differentiation Factor 15 Predicts All-Cause Morbidity and Mortality in Stable Coronary Heart Disease
- 2017
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Ingår i: Clinical Chemistry. - : Oxford University Press (OUP). - 0009-9147 .- 1530-8561. ; 63:1, s. 325-333
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Higher growth differentiation factor 15 (GDF-15) concentrations are associated with cardiovascular (CV) and non-CV morbidity and mortality. However, information on associations between GDF-15 and the risk of specific CV and non-CV events in stable coronary heart disease (CHD) patients is limited.METHODS: In 14 577 patients with stable CHD participating in the Stabilization of Atherosclerotic Plaque by Initiation of Darapladib Therapy Trial (STABILITY), GDF-15 and other prognostic biomarkers (N-terminal pro-B-type natriuretic peptide, high-sensitivity troponin T, cystatin C, and high-sensitivity C-reactive protein) were measured. In adjusted Cox regression models, the associations between GDF-15 and the composite CV end point [CV death, myocardial infarction (MI), and stroke], as well as other CV and non-CV events, were assessed.RESULTS: The median concentration (interquartile range) of GDF-15 at baseline was 1253 (915-1827) ng/L. The hazard ratio for the composite end point for the highest compared to the lowest quartile of GDF-15 was 1.8 (95% CI, 1.5-2.2); for CV death, 2.63 (1.9-3.6); for sudden death, 3.06 (1.9-4.8); for heart failure (HF) death, 4.3 (1.3-14); for cancer death, 2.5 (1.3-4.7); for hospitalization for HF, 5.8 (3.2-10); for MI 1.4 (95% CI, 1.1-1.9); and for stroke, 1.8 (95% CI, 1.1-2.8). After adjustment for other prognostic biomarkers, GDF-15 remained significantly associated with all outcomes except for MI.CONCLUSIONS: In stable CHD, GDF-15 was independently associated with CV, non-CV, and cancer mortality, as well as with MI and stroke. When also adjusting for other prognostic biomarkers, the associations to all fatal and nonfatal events were maintained except for MI. Information on GDF-15, therefore, might be helpful when assessing the risk of adverse outcomes in patients with stable CHD. ClinicalTrials.gov Identifier: NCT00799903.
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- Held, Claes, 1956-, et al.
(författare)
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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
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Ingår i: Journal of the American Heart Association. - 2047-9980 .- 2047-9980. ; 6:10
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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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- Lindholm, Daniel, 1982-, et al.
(författare)
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Biomarker-Based Risk Model to Predict Cardiovascular Mortality in Patients With Stable Coronary Disease
- 2017
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Ingår i: Journal of the American College of Cardiology. - : Elsevier. - 0735-1097 .- 1558-3597. ; 70:7, s. 813-826
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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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- Lindholm, Daniel P, et al.
(författare)
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Biomarkers and Coronary Lesions Predict Outcomes after Revascularization in Non-ST-Elevation Acute Coronary Syndrome
- 2017
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Ingår i: Clinical Chemistry. - : Oxford University Press (OUP). - 0009-9147 .- 1530-8561. ; 63:2, s. 573-584
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Risk stratification in non-ST-elevation acute coronary syndrome (NSTE-ACS) is currently mainly based on clinical characteristics. With routine invasive management, angiography findings and biomarkers are available and may improve prognostication. We aimed to assess if adding biomarkers [high-sensitivity cardiac troponin T (cTnT-hs), N-terminal probrain-type natriuretic peptide (NT-proBNP), growth differentiation factor 15 (GDF-15)] and extent of coronary artery disease (CAD) might improve prognostication in revascularized patients with NSTE-ACS.METHODS: In the PLATO (Platelet Inhibition and Patient Outcomes) trial, 5174 NSTE-ACS patients underwent initial angiography and revascularization and had cTnT-hs, NT-proBNP, and GDF-15 measured. Cox models were developed adding extent of CAD and biomarker levels to established clinical risk variables for the composite of cardiovascular death (CVD)/spontaneous myocardial infarction (MI), and CVD alone. Models were compared using c-statistic and net reclassification improvement (NRI).RESULTS: For the composite end point and CVD, prognostication improved when adding extent of CAD, NT-proBNP, and GDF-15 to clinical variables (c-statistic 0.685 and 0.805, respectively, for full model vs 0.649 and 0.760 for clinical model). cTnT-hs did not contribute to prognostication. In the full model (clinical variables, extent of CAD, all biomarkers), hazard ratios (95% CI) per standard deviation increase were for cTnT-hs 0.93(0.81-1.05), NT-proBNP 1.32(1.13-1.53), GDF-15 1.20(1.07-1.36) for the composite end point, driven by prediction of CVD by NT-proBNP and GDF-15. For spontaneous MI, there was an association with NT-proBNP or GDF-15, but not with cTnT-hs.CONCLUSIONS: In revascularized patients with NSTE-ACS, the extent of CAD and concentrations of NT-proBNP and GDF-15 independently improve prognostication of CVD/spontaneous MI and CVD alone. This information may be useful for selection of patients who might benefit from more intense and/or prolonged antithrombotic treatment.
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- Lindholm, Daniel P, 1982-, et al.
(författare)
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Growth Differentiation Factor 15 at 1 Month After an Acute Coronary Syndrome Is Associated With Increased Risk of Major Bleeding.
- 2017
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Ingår i: Journal of the American Heart Association. - 2047-9980 .- 2047-9980. ; 6:4
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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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