Agreement between high-sensitivity C-reactive protein and C-reactive protein assays
| Autor: | E Han, M Fritzer-Szekeres, T Szekeres, A Anvari-Pirsch, M Gyoengyoesi, J Bergler-Klein |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | European Heart Journal. 42 |
| ISSN: | 1522-9645 0195-668X |
| DOI: | 10.1093/eurheartj/ehab724.1084 |
| Popis: | Background High sensitivity C-reactive protein (hs-CRP) is a biomarker used for risk prediction for cardiovascular disease (CVD) by assessing low concentrations of inflammatory markers. Measurements of regular CRP assays have become very sensitive too with a detection limit of 0.03mg/dL, while also being more available and cheaper. The aim of this study is to compare the association between CRP and hs-CRP. Methods This study compared CRP and hs-CRP serum concentrations and data acquired by medical chart review of 590 patients from 11/2017 to 10/2018 of our cardiology outpatient clinic who were divided into hs-CRP and CRP risk groups for CVD events: low0.3mg/dL. The agreement of classification in hs-CRP and CRP risk groups was assessed by kappa statistic, with Kappa coefficient of Results Out of all 590 patients, 37.7% were in low risk, 33.9% in average risk and 28.5% in high risk hs-CRP group. Some group changes occurred after reclassification of the patients according to CRP measurements. Eight percent of patients reclassified into a higher risk group, 0.7% into a lower risk group, while 91.4% remained in the same risk group as determined by hs-CRP (kappa: 0.87; p Conclusion A close agreement between measurements of hs-CRP and CRP assays was identified, therefore regular CRP assays could replace hs-CRP for cardiac risk assessment. Benefits for clinical implementation are: First, CRP assessment is routinely available in most laboratories compared to hs-CRP. Second, CRP is less costly than hs-CRP, since no further laboratory acquisitions are necessary, which is especially relevant in regions where cost efficiency is of importance. Funding Acknowledgement Type of funding sources: None. Table 1. Kappa statisticFigure 1. Bland-Altman plot |
| Databáze: | OpenAIRE |
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