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Characteristics of cryptogenic stroke in cancer patients

Authors: Toshiki Yoshimine; Manabu Sakaguchi; Yasukazu Terasaki; Hideki Mochizuki; Tsutomu Sasaki; Yasufumi Gon; Shuhei Okazaki;

Characteristics of cryptogenic stroke in cancer patients

Abstract

AbstractObjectiveTo clarify the characteristics of cryptogenic stroke in patients with active cancer.MethodsPatients with or without cancer diagnosed with acute ischemic stroke between January 2006 and February 2015 were extracted from a prospectively collected stroke database of Osaka University Hospital. Patients were categorized according to the presence of active cancer and known stroke mechanisms.ResultsAmong 1191 patients with acute ischemic stroke, 145 (12%) had active cancer. Patients with active cancer were diagnosed more often with cryptogenic stroke than were patients without cancer (47% vs. 12%, P < 0.001). Compared with cryptogenic stroke patients without cancer, cryptogenic stroke patients with active cancer had fewer atherosclerotic risk factors, lower nutrition status, higher plasma D‐dimer levels, and multiple vascular lesions. In a multivariate logistic analysis, plasma D‐dimer level (odds ratio [OR] per 1 standard deviation increase: 6.30; 95% confidence interval [CI]: 2.94–15.69; P < 0.001), and the presence of multiple vascular lesions (OR: 6.40; 95% CI: 2.35–18.35; P < 0.001) were independent predictors of active cancer. When comparing active cancer patients who had known stroke mechanisms with those who had cryptogenic stroke, high plasma D‐dimer levels, multiple vascular lesions, and receiving chemotherapy and/or radiation therapy were associated with cryptogenic stroke etiology.InterpretationIn cryptogenic stroke, patients with active cancer has a unique pathology characterized by high plasma D‐dimer levels and multiple vascular lesions. The hypercoagulable state and malnutrition due to cancer and its treatments potentially influence the development of cryptogenic stroke in cancer patients.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
71
Top 1%
Top 10%
Top 10%
Green
gold