Literature DB >> 19578164

C-reactive protein improves risk prediction in patients with acute coronary syndromes.

François Schiele1, Nicolas Meneveau, Marie France Seronde, Romain Chopard, Vincent Descotes-Genon, Joanna Dutheil, Jean-Pierre Bassand.   

Abstract

AIMS: Elevated C-reactive protein level is a risk marker in patients with acute coronary syndromes (ACSs), but current risk score systems do not consider this factor. We studied the incremental predictive value of adding C-reactive protein to the Global Registry of Acute Coronary Events (GRACE) risk score. METHODS AND
RESULTS: Characteristics, treatments and 30-day mortality were recorded for 1408/1901 consecutive ACS patients. Changes in global model fit, discrimination, calibration, and reclassification were evaluated upon addition of C-reactive protein to the GRACE risk score. High-C-reactive protein patients (C-reactive protein >22 mg/L, 4th quartile of C-reactive protein) were older, had more comorbidities and worse haemodynamic conditions, received less recommended treatment, and had a four-fold higher 30 day mortality. Multivariable analysis demonstrated high-C-reactive protein as an important and independent predictor of mortality. Addition of high-C-reactive protein in the GRACE model modestly improved global fit, discriminatory capacity (c-statistic from 0.795 to 0.823), and calibration. Patients were divided into four groups according to GRACE risk score prediction: <1, 1 to <5, 5 to <10, and >or=10%. The model with high-C-reactive protein allowed adequate reclassification in 12.2%.
CONCLUSION: Elevated C-reactive protein level is a modest but independent predictive factor of 30-day mortality in ACS patients, even after adjustment for co-morbidities, haemodynamic conditions, and treatment. Combined with the GRACE risk score, C-reactive protein information improves risk classification.

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Year:  2009        PMID: 19578164     DOI: 10.1093/eurheartj/ehp273

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


  17 in total

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2.  Clinical and angiographic correlation of high-sensitivity C-reactive protein with acute ST elevation myocardial infarction.

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3.  Adjustment of the GRACE score by growth differentiation factor 15 enables a more accurate appreciation of risk in non-ST-elevation acute coronary syndrome.

Authors:  Christian Widera; Michael J Pencina; Allison Meisner; Tibor Kempf; Kerstin Bethmann; Ivonne Marquardt; Hugo A Katus; Evangelos Giannitsis; Kai C Wollert
Journal:  Eur Heart J       Date:  2011-12-23       Impact factor: 29.983

4.  Predictive value of C-reactive protein on 30-day and 1-year mortality in acute coronary syndromes: an analysis from the ACUITY trial.

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Journal:  J Thromb Thrombolysis       Date:  2011-02       Impact factor: 2.300

5.  Prevalence and predictors of elevated high-sensitivity C-reactive protein in post-myocardial infarction patients: Insights from the VIRGO and TRIUMPH registries.

Authors:  Mohammed Qintar; Puza P Sharma; Yashashwi Pokharel; Yuanyuan Tang; Yuan Lu; Philip Jones; Rachel P Dreyer; John A Spertus
Journal:  Clin Cardiol       Date:  2017-12-16       Impact factor: 2.882

6.  Prognostic Role of High Sensitivity C-Reactive Protein in Patients With Acute Myocardial Infarction.

Authors:  Xiaoyuan Zhang; Shanjie Wang; Shaohong Fang; Bo Yu
Journal:  Front Cardiovasc Med       Date:  2021-05-24

7.  Value of C-reactive protein in predicting left ventricular remodelling in patients with a first ST-segment elevation myocardial infarction.

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Journal:  Mediators Inflamm       Date:  2012-09-02       Impact factor: 4.711

8.  Usefulness of C-reactive protein as a marker of early post-infarct left ventricular systolic dysfunction.

Authors:  Iwona Swiatkiewicz; Marek Kozinski; Przemyslaw Magielski; Joanna Gierach; Tomasz Fabiszak; Aldona Kubica; Adam Sukiennik; Eliano Pio Navarese; Grazyna Odrowaz-Sypniewska; Jacek Kubica
Journal:  Inflamm Res       Date:  2012-03-24       Impact factor: 4.575

9.  Dickkopf-1 as a novel predictor is associated with risk stratification by GRACE risk scores for predictive value in patients with acute coronary syndrome: a retrospective research.

Authors:  Lin Wang; Xiao Bo Hu; Wei Zhang; Lin Di Wu; Yu Sheng Liu; Bo Hu; Cheng Long Bi; Yi Fei Chen; Xin Xin Liu; Cheng Ge; Yun Zhang; Mei Zhang
Journal:  PLoS One       Date:  2013-01-24       Impact factor: 3.240

10.  Adjustment of the GRACE score by HemoglobinA1c enables a more accurate prediction of long-term major adverse cardiac events in acute coronary syndrome without diabetes undergoing percutaneous coronary intervention.

Authors:  Xiao-Jun Liu; Zhao-Fei Wan; Na Zhao; Ya-Ping Zhang; Lan Mi; Xin-Hong Wang; Dong Zhou; Yan Wu; Zu-Yi Yuan
Journal:  Cardiovasc Diabetol       Date:  2015-08-19       Impact factor: 9.951

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