Literature DB >> 28171699

C-reactive protein in the detection of post-stroke infections: systematic review and individual participant data analysis.

Alejandro Bustamante1, Andrea Vilar-Bergua1, Sophie Guettier2, Josep Sánchez-Poblet1, Teresa García-Berrocoso1, Dolors Giralt1, Felix Fluri3, Raffi Topakian4, Hans Worthmann5, Andreas Hug6, Tihamer Molnar7, Ulrike Waje-Andreassen8, Mira Katan9, Craig J Smith10, Joan Montaner1.   

Abstract

We conducted a systematic review and individual participant data meta-analysis to explore the role of C-reactive protein (CRP) in early detection or prediction of post-stroke infections. CRP, an acute-phase reactant binds to the phosphocholine expressed on the surface of dead or dying cells and some bacteria, thereby activating complement and promoting phagocytosis by macrophages. We searched PubMed up to May-2015 for studies measuring CRP in stroke and evaluating post-stroke infections. Individual participants' data were merged into a single database. CRP levels were standardized and divided into quartiles. Factors independently associated with post-stroke infections were determined by logistic regression analysis and the additional predictive value of CRP was assessed by comparing areas under receiver operating characteristic curves and integrated discrimination improvement index. Data from seven studies including 699 patients were obtained. Standardized CRP levels were higher in patients with post-stroke infections beyond 24 h. Standardized CRP levels in the fourth quartile were independently associated with infection in two different logistic regression models, model 1 [stroke severity and dysphagia, odds ratio = 9.70 (3.10-30.41)] and model 2 [age, sex, and stroke severity, odds ratio = 3.21 (1.93-5.32)]. Addition of CRP improved discrimination in both models [integrated discrimination improvement = 9.83% (0.89-18.77) and 5.31% (2.83-7.79), respectively], but accuracy was only improved for model 1 (area under the curve 0.806-0.874, p = 0.036). In this study, CRP was independently associated with development of post-stroke infections, with the optimal time-window for measurement at 24-48 h. However, its additional predictive value is moderate over clinical information. Combination with other biomarkers in a panel seems a promising strategy for future studies.
© 2017 International Society for Neurochemistry.

Entities:  

Keywords:  C-reactive protein; biomarkers; individual participant data meta-analysis; infections; stroke; systematic review

Mesh:

Substances:

Year:  2017        PMID: 28171699     DOI: 10.1111/jnc.13973

Source DB:  PubMed          Journal:  J Neurochem        ISSN: 0022-3042            Impact factor:   5.372


  7 in total

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2.  Characterization of the rat cerebrospinal fluid proteome following acute cerebral ischemia using an aptamer-based proteomic technology.

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Review 6.  Stroke-induced immunosuppression: implications for the prevention and prediction of post-stroke infections.

Authors:  Júlia Faura; Alejandro Bustamante; Francesc Miró-Mur; Joan Montaner
Journal:  J Neuroinflammation       Date:  2021-06-06       Impact factor: 8.322

7.  Does previous stroke modify the relationship between inflammatory biomarkers and clinical endpoints in CKD patients?

Authors:  James Tollitt; Stuart M Allan; Rajkumar Chinnadurai; Aghogho Odudu; Margaret Hoadley; Craig Smith; Philip A Kalra
Journal:  BMC Nephrol       Date:  2022-01-18       Impact factor: 2.388

  7 in total

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