학술논문
C-reactive protein improves risk prediction in patients with acute coronary syndromes.
Document Type
Academic Journal
Author
Schiele F; Department of Cardiology, Centre Hospitalier Universitaire Jean Minjoz, Université de Franche Comte, EA 3920 Boulevard Fleming, 25000 Besançon, France.; Meneveau N; Seronde MF; Chopard R; Descotes-Genon V; Dutheil J; Bassand JP
Source
Publisher: Oxford University Press Country of Publication: England NLM ID: 8006263 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-9645 (Electronic) Linking ISSN: 0195668X NLM ISO Abbreviation: Eur Heart J Subsets: MEDLINE
Subject
Language
English
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.
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.