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| 2. |
- van Diepen, Sean, et al.
(author)
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Baseline NT-proBNP and biomarkers of inflammation and necrosis in patients with ST-segment elevation myocardial infarction : insights from the APEX-AMI trial
- 2012
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In: Journal of Thrombosis and Thrombolysis. - : Springer Science and Business Media LLC. - 0929-5305 .- 1573-742X. ; 34:1, s. 106-113
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Journal article (peer-reviewed)abstract
- Coronary plaque rupture is associated with a systemic inflammatory response. The relationship between baseline N-terminal pro B-type natriuretic peptide (NT-proBNP), a prognostic marker in patients with acute coronary syndromes, and systemic inflammatory mediators in patients with ST-segment elevation myocardial infarction (STEMI) treated with primary percutaneous coronary intervention (PCI) is not well described. Of 5,745 STEMI patients treated with primary PCI in the APEX-AMI trial, we evaluated the relationship between baseline NT-proBNP levels and baseline levels of inflammatory markers and markers of myonecrosis in a subset of 772 who were enrolled in a biomarker substudy. Spearman correlations (r (s)) were calculated between baseline NT-proBNP levels and a panel of ten systemic inflammatory biomarkers. Interleukin (IL)-6, a pro-inflammatory cytokine, was significantly positively correlated with NT-proBNP (r (s) = 0.317, P < 0.001). In a sensitivity analysis excluding all heart failure patients, the correlation between baseline IL-6 and NT-proBNP remained significant (n = 651, r (s) = 0.296, P < 0.001). A positive association was also observed with high sensitivity C-reactive protein (r (s) = 0.377, P < 0.001) and there was a weak negative correlation with the anti-inflammatory cytokine IL-10 (r (s) = -0.109, P = 0.003). No other significant correlations were observed among the other testes inflammatory cytokines and chemokines. In STEMI patients undergoing primary PCI, the pro-inflammatory cytokine IL-6 was modestly correlated with baseline NT-proBNP levels. This relationship remained significant in patients without heart failure. This finding is consistent with pre-clinical and clinical research suggesting that systemic inflammation may influence NT-proBNP expression independently of myocardial stretch.
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| 3. |
- van Diepen, Sean, et al.
(author)
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Prognostic relevance of baseline pro- and anti-inflammatory markers in STEMI : An APEX AMI substudy
- 2013
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In: International Journal of Cardiology. - : Elsevier BV. - 0167-5273 .- 1874-1754. ; 168:3, s. 2127-2133
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Journal article (peer-reviewed)abstract
- Background: Plaque rupture, acute ischemia, and necrosis in acute coronary syndromes are accompanied by concurrent pro-and anti-inflammatory cascades. Whether STEMI clinical prediction models can be improved with the addition of baseline inflammatory biomarkers remains unknown. Methods: In an APEX-AMI trial substudy, 772 patients had a panel of 9 inflammatory serum biomarkers, high sensitivity C reactive protein (hsCRP), and N-terminal pro-B-type natriuretic peptide (NT-proBNP) measured at baseline after randomization. Baseline biomarkers were incorporated into a clinical prediction model for a composite of 90-day death, shock, or heart failure. Incremental prognostic value was assessed using Net Reclassification Improvement (NRI) and Integrated Discrimination Improvement (IDI). Results: Individually, several biomarkers were independent predictors of clinical outcome: hsCRP (hazard ratio [HR] 1.12; 95% confidence interval [CI], 1.03-1.21; p=0.007, per doubling), NT-proBNP (HR 1.14; 95% CI, 1.06-1.23; p<0.001, per doubling), interleukin (IL)-6 (HR 1.26; 95% CI, 1.12-1.41; p<0.001, per doubling), and inducible protein-10 (IP-10) (HR 0.86; 95% CI, 0.76-0.98; p<0.025, per doubling). The addition of baseline NT-proBNP (NRI 8.6%, p=0.028; IDI 0.030, p<0.001) and IL-6 (NRI 8.8%, p=0.012; IDI 0.036, p<0.001) improved the clinical risk prediction model and the addition of hsCRP (NRI 6.5%, p=0.069; IDI 0.018, p=0.004) yielded minimal improvement. After incorporating NT-proBNP into the model, the remaining biomarkers added little additional predictive value. Conclusions: Multiple inflammatory biomarkers independently predicted 90-day death, shock or heart failure; however, they added little value to a clinical prediction model that included NT-proBNP. Future studies of inflammatory biomarkers in STEMI should report incremental value in a prediction model that includes NT-proBNP.
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| 4. |
- Aktaa, Suleman, et al.
(author)
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Data standards for transcatheter aortic valve implantation : the European Unified Registries for Heart Care Evaluation and Randomised Trials (EuroHeart).
- 2023
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In: European Heart Journal - Quality of Care and Clinical Outcomes. - : Oxford University Press. - 2058-5225 .- 2058-1742. ; 9:5, s. 529-536
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Journal article (peer-reviewed)abstract
- AIMS: Standardized data definitions are necessary for the quantification of quality of care and patient outcomes in observational studies and randomised controlled trials (RCTs). The European Unified Registries for Heart Care Evaluation and Randomised Trials (EuroHeart) project of the European Society of Cardiology (ESC) aims to create pan-European data standards for cardiovascular diseases and interventions, including transcatheter aortic valve implantation (TAVI).METHODS AND RESULTS: We followed the EuroHeart methodology for cardiovascular data standard development. A Working Group of 29 members representing 12 countries was established and included a patient representative, as well as experts in the management of valvular heart disease from the European Association of Percutaneous Cardiovascular Interventions (EAPCI), the European Association of Cardiovascular Imaging (EACVI) and the Working Group on Cardiovascular Surgery. We conducted a systematic review of the literature and used a modified Delphi method to reach consensus on a final set of variables. For each variable, the Working Group provided a definition, permissible values and categorized the variable as mandatory (Level 1) or additional (Level 2) based on its clinical importance and feasibility. In total, 93 Level 1 and 113 Level 2 variables were selected, with the level 1 variables providing the dataset for registration of patients undergoing TAVI on the EuroHeart IT platform.CONCLUSION: This document provides details of the EuroHeart data standards for TAVI processes of care and in-hospital outcomes. In the context of EuroHeart, this will facilitate quality improvement, observational research, registry-based RCTs and post-marketing surveillance of devices and pharmacotherapies.
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| 6. |
- Giannitsis, Evangelos, et al.
(author)
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Contra
- 2021
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In: European Heart Journal. - : Oxford University Press. - 0195-668X .- 1522-9645. ; 42:31, s. 2979-2985
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Journal article (other academic/artistic)
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| 7. |
- Stebbins, Amanda, et al.
(author)
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A Model for Predicting Mortality in Acute ST-Segment Elevation Myocardial Infarction Treated With Primary Percutaneous Coronary Intervention : Results From the Assessment of Pexelizumab in Acute Myocardial Infarction Trial
- 2010
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In: Circulation: Cardiovascular Interventions. - 1941-7640. ; 3:5, s. 414-422
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Journal article (peer-reviewed)abstract
- Background-Accurate models to predict mortality are needed for risk stratification in patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PCI). Methods and Results-We examined 5745 patients with STEMI undergoing primary PCI in the Assessment of Pexelizumab in Acute Myocardial Infarction Trial within 6 hours of symptom onset. A Cox proportional hazards model incorporating regression splines to accommodate nonlinearity in the log hazard ratio (HR) scale was used to determine baseline independent predictors of 90-day mortality. At 90 days, 271 (4.7%) of 5745 patients died. Independent correlates of 90-day mortality were (in descending order of statistical significance) age (HR, 2.03/10-y increments; 95% CI, 1.80 to 2.29), systolic blood pressure (HR, 0.86/10-mm Hg increments; 95% CI, 0.82 to 0.90), Killip class (class 3 or 4 versus 1 or 2) (HR, 4.24; 95% CI, 2.97 to 6.08), heart rate (>70 beats per minute) (HR, 1.45/10-beat increments; 95% CI, 1.31 to 1.59), creatinine (HR, 1.23/10-mu mol/L increments >90 mu mol/L; 95% CI, 1.13 to 1.34), sum of ST-segment deviations (HR, 1.25/10-mm increments; 95% CI, 1.11 to 1.40), and anterior STEMI location (HR, 1.47; 95% CI, 1.12 to 1.93) (c-index, 0.82). Internal validation with bootstrapping confirmed minimal overoptimism (c-index, 0.81). Conclusions-Our study provides a practical method to assess intermediate-term prognosis of patients with STEMI undergoing primary PCI, using baseline clinical and ECG variables. This model identifies key factors affecting prognosis and enables quantitative risk stratification that may be helpful in guiding clinical care and for risk adjustment for observational analyses. (Circ Cardiovasc Interv. 2010;3:414-422.)
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