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INTRODUCTION: Transient ischemic attack (TIA) is a frequent neurological emergency which management and definition have changed radically over the last 15 years. However, recent epidemiological studies of TIA are scarce. We report here on the impact of the shift from a time-based to a tissue-based definition of TIA on its incidence and risk of recurrence in a new population-based cohort with a high rate of patients investigated by MRI. MATERIALS AND METHODS: We prospectively included all TIAs that occurred between May 2017 and May 2021 from the Normandy Stroke Study, a population-based registry using multiple overlapping sources for exhaustive case identification in Caen la Mer area. TIAs were classified as either time-based (symptoms <24 h) or tissue-based (<24 h and no lesion on brain imaging). Attack and incidence rates were calculated, as was the 90-day ischemic stroke rate. RESULTS: Five hundred and sixty-seven TIAs (549 single patients) were included, with 80.6% having a brain MRI. Four hundred and ten (72.3%) met the definition of tissue-based TIA. The age standardized attack (to the 2013 European population) rate was 39.5 (95% CI 35.7-43.5) and the age-standardized incidence rate (first ever cerebrovascular event) was 29.7 (95% CI 27.3-34.2). The overall recurrent stroke rate at 90 days was 2.7%, with no difference between patients with or without ischemic lesions on MRI. CONCLUSION: We found that the use of the tissue-based definition of TIA resulted in a 27.5% reduction in incidence as compared to the time-based definition, but had no impact on the 90-day stroke rate. The burden of TIA remains high, and is likely to increase as the population ages.
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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.
