Thomas Raphael Meinel

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Articles (10)

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Background This study was conducted to explore the association of different phenotypes, count, and location of chronic covert brain infarctions (CBIs) with detection of atrial fibrillation (AF) on prolonged post‐stroke cardiac rhythm monitoring (PCM). Methods and Results We conducted a cohort single‐center study of consecutive first‐ever ischemic stroke or transient ischemic attack patients undergoing PCM between January 2015 and December 2017. We blindly rated CBI phenotypes according to established definitions and white matter hyperintensities (WMHs) according to the age‐related white matter changes rating scale. We used (multiple) regression models to assess the association of the imaging biomarkers and incident AF on PCM. A total of 795 patients (median [interquartile range]) aged 69 (57–78) years, 41% women, median National Institutes of Health Stroke Scale score 2 (0–5), median PCM duration 14 (7–14) days, and AF detection in 61 patients (7.7%) were included. On univariate analysis, WMHs (per point odds ratio, 1.35 [95% CI, 1.03–1.78]) but not CBIs (odds ratio, 0.90 [95% CI, 0.52–1.56]) were associated with AF detection. Neither CBI phenotype, count, nor location were associated with AF detection. After adjustment for age, hypertension, and stroke severity, neither increasing WMHs (per point adjusted odds ratio, 0.85 [95% CI, 0.60–1.20]) nor CBIs (adjusted odds ratio, 0.60 [95% CI, 0.33–1.09]) were independently associated with AF detection. Conclusions Although WMHs and CBIs represent surrogate biomarkers of vascular risk factors, neither WMHs nor CBIs, including their phenotypes, count, and location, were independently associated with AF detection on PCM. In patients with manifest ischemic stroke or transient ischemic attack, the presence of imaging biomarkers of chronic ischemic injury does not seem promising to further refine prediction tools for AF detection on PCM.

Year:

2022

Background: There is paucity of data regarding the effects of delayed reperfusion (DR) on clinical outcomes in patients with incomplete reperfusion following mechanical thrombectomy. We hypothesized that DR has a strong association with clinical outcome in patients with incomplete reperfusion after mechanical thrombectomy (expanded Thrombolysis in Cerebral Infarction, 2a–2c). Methods: Single-institution’s stroke registry retrospective analysis of patients admitted from February 2015 to December 2020. DR was defined as the absence of any perfusion delay on ≈24-hour contrast-enhanced follow-up perfusion imaging, whereas persistent perfusion deficit denotes a perfusion delay corresponding to the catheter angiographic deficit directly after the intervention. The association of perfusion outcome (DR versus persistent perfusion deficit) with the occurrence of new infarcts and 90-day functional independence (modified Rankin Scale score 0–2) was evaluated using logistic regression analyses. Comparison of predictive accuracy was evaluated by calculating area under the curve for models with and without perfusion outcome. Results: In 566 patients (mean age 74, 49.6% female), new infarcts in the incomplete reperfusion areas were less common in DR versus persistent perfusion deficit patients (small punctiform: 17.1% versus 25%, large confluent: 7.9% versus 63.2%; P =0.001). After adjustment for confounders, DR was a strong predictor of functional independence (adjusted odds ratio, 2.37 [95% CI 1.34–4.23]). There was a significant improvement in predictive accuracy of functional independence when perfusion outcome was added to expanded Thrombolysis in Cerebral Infarction alone (area under the curve 0.57 versus 0.62, P =0.01). Conclusions: Occurrence of DR is closely associated with tissue outcome and functional independence. DR may be an independent prognostic parameter, suggesting it as a potential outcome surrogate for medical rescue therapies.

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (8)

Stefano Forlivesi

IRCCS Istituto Delle Scienze Neurologiche di Bologna

ITALY
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James Siegler

Assistant Professor

Cooper University Hospital

UNITED STATES
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Christoph Kurmann

University Hospital of Bern

SWITZERLAND
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Robert Mikulik

Professor

Masaryk University

CZECH REPUBLIC
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Thalia Field

Associate Professor

The University of British Columbia

CANADA
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Sven Poli

-

GERMANY
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Johannes Kaesmacher

-

SWITZERLAND
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Daniel Strbian

-

FINLAND
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