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Hemorrhagic lesion with detection of infected endothelial cells in human bornavirus encephalitis
(2022)
Borna disease virus 1 (BoDV-1) was just recently shown to cause predominantly fatal encephalitis in humans. Despite its rarity, bornavirus encephalitis (BVE) can be considered a model disease for encephalitic infections caused by neurotropic viruses and understanding its pathomechanism is of utmost relevance. Aim of this study was to compare the extent and distribution pattern of cerebral inflammation with the clinical course of disease, and individual therapeutic procedures. For this, autoptic brain material from seven patients with fatal BVE was included in this study. Tissue was stained immunohistochemically for pan-lymphocytic marker CD45, the nucleoprotein of BoDV-1, as well as glial marker GFAP and microglial marker Iba1. Sections were digitalized and counted for CD45-positive and BoDV-1-positive cells. For GFAP and Iba1, a semiquantitative score was determined. Furthermore, detailed information about the individual clinical course and therapy were retrieved and summarized in a standardized way. Analysis of the distribution of lymphocytes shows interindividual patterns. In contrast, when looking at the BoDV-1-positive glial cells and neurons, a massive viral involvement in the brain stem was noticeable. Three of the seven patients received early high-dose steroids, which led to a significantly lower lymphocytic infiltration of the central nervous tissue and a longer survival compared to the patients who were treated with steroids later in the course of disease. This study highlights the potential importance of early high-dose immunosuppressive therapy in BVE. Our findings hint at a promising treatment option which should be corroborated in future observational or prospective therapy studies.
Background
Nowadays, there is no method to quantitatively characterize the material composition of acute ischemic stroke thrombi prior to intervention, but dual-energy CT (DE-CT) offers imaging-based multimaterial decomposition. We retrospectively investigated the material composition of thrombi ex vivo using DE-CT with histological analysis as a reference.
Methods
Clots of 70 patients with acute ischemic stroke were extracted by mechanical thrombectomy and scanned ex vivo in formalin-filled tubes with DE-CT. Multimaterial decomposition in the three components, i.e., red blood cells (RBC), white blood cells (WBC), and fibrin/platelets (F/P), was performed and compared to histology (hematoxylin/eosin staining) as reference. Attenuation and effective Z values were assessed, and histological composition was compared to stroke etiology according to the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) criteria.
Results
Histological and imaging analysis showed the following correlation coefficients for RBC (r = 0.527, p < 0.001), WBC (r = 0.305, p = 0.020), and F/P (r = 0.525, p < 0.001). RBC-rich thrombi presented higher clot attenuation in Hounsfield units than F/P-rich thrombi (51 HU versus 42 HU, p < 0.01). In histological analysis, cardioembolic clots showed less RBC (40% versus 56%, p = 0.053) and more F/P (53% versus 36%, p = 0.024), similar to cryptogenic clots containing less RBC (34% versus 56%, p = 0.006) and more F/P (58% versus 36%, p = 0.003) than non-cardioembolic strokes. No difference was assessed for the mean WBC portions in all TOAST groups.
Conclusions
DE-CT has the potential to quantitatively characterize the material composition of ischemic stroke thrombi.
Relevance statement
Using DE-CT, the composition of ischemic stroke thrombi can be determined. Knowledge of histological composition prior to intervention offers the opportunity to define personalized treatment strategies for each patient to accomplish faster recanalization and better clinical outcomes.
Key points
• Acute ischemic stroke clots present different recanalization success according to histological composition.
• Currently, no method can determine clot composition prior to intervention.
• DE-CT allows quantitative material decomposition of thrombi ex vivo in red blood cells, white blood cells, and fibrin/platelets.
• Histological clot composition differs between stroke etiology.
• Insights into the histological composition in situ offer personalized treatment strategies.
Background:
Strokes in the working-age population represent a relevant share of ischemic strokes and re-employment is a major factor for well-being in these patients. Income differences by sex have been suspected a barrier for women in returning to paid work following ischemic stroke. We aim to identify predictors of (not) returning to paid work in patients with large vessel occlusion treated with mechanical thrombectomy (MT) to identify potential areas of targeted vocational rehabilitation.
Methods:
From 6635 patients enrolled in the German Stroke Registry Endovascular Treatment between 2015 and 2019, data of 606 patients of the working population who survived large vessel occlusion at least 90 days past MT were compared based on employment status at day 90 follow-up. Univariate analysis, multiple logistic regression and analyses of area under the curve were performed to identify predictors of re-employment.
Results:
We report 35.6% of patients being re-employed 3 months following MT (median age 54.0 years; 36.1% of men, 34.5% of women [P=0.722]). We identified independent negative predictors against re-employment being female sex (odds ratio [OR], 0.427 [95% CI, 0.229–0.794]; P=0.007), higher National Institutes of Health Stroke Scale (NIHSS) score 24 hours after MT (OR, 0.775 [95% CI, 0.705–0.852]; P<0.001), large vessel occlusion due to large-artery atherosclerosis (OR, 0.558 [95% CI, 0.312–0.997]; P=0.049) and longer hospital stay (OR, 0.930 [95% CI, 0.868–0.998]; P=0.043). Positive predictors favoring re-employment were excellent functional outcome (modified Rankin Scale score of 0–1) at 90 day follow-up (OR, 11.335 [95% CI, 4.864–26.415]; P<0.001) and combined treatment with intravenous thrombolysis (OR, 1.904 [95% CI, 1.046–3.466]; P=0.035). Multiple regression modeling increased predictive power of re-employment status significantly over prediction by best single functional outcome parameter (National Institutes of Health Stroke Scale 24 hours after MT ≤5; R2: 0.582 versus 0.432; area under the receiver operating characteristic curve: 0.887 versus 0.835, P<0.001).
Conclusions:
There is more to re-employment after MT than functional outcome alone. In particular, attention should be paid to possible systemic barriers deterring women from resuming paid work.
