Abstract
BackgroundImmune cells are involved in all stages of acute ischaemic stroke (AIS) and possess both neuroprotective and neurodamaging properties. It has been suggested that immune system activation after stroke may be associated with the development of haemorrhagic transformation (HT), which is the main complication limiting the clinical use of intravenous thrombolysis with recombinant tissue plasminogen activator (rtPA) for AIS. The purpose of our study was to analyse the association between absolute eosinophil count (AEC) at admission and the occurrence of HT after intravenous rtPA therapy for AIS.MethodsIn this retrospective study we enrolled AIS patients who were treated with rtPA within 4.5 h of symptom onset. Baseline stroke severity was evaluated using the National Institutes of Health Stroke Scale (NIHSS). Patients underwent head computed tomography scans at admission which were repeated 24 h after treatment with rtPA or promptly in case of clinical deterioration. HT was defined as blood at any site in the brain on follow-up head computed tomography scans. Spearman’s rank correlation test was used to analyse the correlation between AEC and NIHSS scores. The optimal AEC cut-off value for predicting HT was calculated using the area under the receiver operating characteristic curve. Multiple logistic regression was used to determine the association between AEC included as a binary variable and the incidence of HT.ResultsThe data of 201 patients was analysed (59.7% females; median age 77 years); 23 (11.4%) of them developed HT. The median of AEC was 62.5% greater in the non-HT group compared to the HT group (0.13 × 109/l and 0.08 × 109/l, respectively, p = 0.026). No correlation was found between AEC and baseline NIHSS scores (r = 0.061, p = 0.393). AEC ≥ 0.11 × 109/l predicted the occurrence of HT with 69.6% sensitivity and 60.7% specificity. AEC ≥ 0.11 × 109/l was independently associated with a 78% reduction in the odds of developing HT (adjusted odds ratio = 0.223, 95% confidence interval = 0.069–0.723, p = 0.012).ConclusionHigher values of AEC were associated with lower odds of developing HT, thus, AEC at admission could be considered an independent predictive marker of HT after treatment with rtPA for AIS.
Highlights
Immune cells are involved in all stages of acute ischaemic stroke (AIS) and possess both neuroprotective and neurodamaging properties
No statistically significant difference was found in immune cell counts between the haemorrhagic transformation (HT) and non-HT groups with the exception of absolute eosinophil count (AEC) which was 62.5% greater in the non-HT group compared to the HT group
The results of multiple logistic regression analysis showed that AEC ≥ 0.11 × 109/l was independently associated with a 78% reduction in the odds of developing HT; other variables included in multiple regression analysis were not found to be linked to the occurrence of HT with the exception of baseline National Institutes of Health Stroke Scale (NIHSS) (Table 3)
Summary
Immune cells are involved in all stages of acute ischaemic stroke (AIS) and possess both neuroprotective and neurodamaging properties. It has been suggested that immune system activation after stroke may be associated with the development of haemorrhagic transformation (HT), which is the main complication limiting the clinical use of intravenous thrombolysis with recombinant tissue plasminogen activator (rtPA) for AIS. The purpose of our study was to analyse the association between absolute eosinophil count (AEC) at admission and the occurrence of HT after intravenous rtPA therapy for AIS. Up to 87% of all stroke cases are ischaemic [2] and can be treated with intravenous thrombolysis (IVT) using recombinant tissue plasminogen activator (rtPA), currently considered the gold standard treatment for acute ischaemic stroke (AIS). The aim of this study was to assess whether absolute blood eosinophil count (AEC) at admission is associated with the development of HT after treatment with IVT. This paper presents the results of our study and discusses whether eosinophils could be a potential biomarker for predicting haemorrhagic transformation
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