Literature DB >> 31912335

Utility of a scoring system for differentiating cancer-associated stroke from cryptogenic stroke in patients with cancer.

Yuzo Hasegawa1, Taiki Setoguchi2, Tsukasa Sakaida2, Toshihiko Iuchi2.   

Abstract

BACKGROUND: The commonest type of ischemic cerebral stroke in patients with cancer is cryptogenic stroke (CRS), the majority of which are considered cancer-associated strokes (CAS) caused by multiple microemboli associated with hypercoagulation, known as Trousseau syndrome. However, detection of microemboli and diagnosing CAS is difficult. We have therefore developed a scoring system for diagnosing CAS.
METHODS: We retrospectively examined data of patients with cancer and stroke between 2006 and 2017. We identified risk factors for CRS, assigned them one or two points, and calculated total scores (Trousseau score) for each patient. We used overall survival after stroke (OSs) to validate the utility of the system.
RESULTS: In 181 consecutive strokes, CRS was the commonest type (43.6%) and had a short OSs (median 56 days). We identified the following five risks for CRS: high D-dimer concentration (≥ 10.0 μg/mL) and lesions in multiple territories (two points each); and active cancer, low platelet count (150,000/μL>) and female sex (one point each). Trousseau score ≥ 3 indicated CAS (50.3%), which had a median OSs of 50 days. Only CAS (hazard ratio 3.44 [2.34-5.10], P < 0.0001) and poor performance status (3 or 4) (2.27 [1.50-3.39], P = 0.0002) were risk factors for OSs; CRS was not. OSs of patients with non-CAS/CRS was significantly longer than that of those with CAS/CRS (404.5 days vs. 47 days, P = 0.0114), whereas OSs of CAS/non-CRS was much shorter than that of non-CAS/non-CRS (53 days vs. 547 days, P < 0.0001).
CONCLUSION: Trousseau scores simply and clearly identify CAS.

Entities:  

Keywords:  Cancer-associated stroke; Cancer-associated thrombosis; Cryptogenic stroke; Embolic stroke of undetermined source; Trousseau syndrome

Mesh:

Year:  2020        PMID: 31912335     DOI: 10.1007/s10072-019-04231-5

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


  3 in total

1.  The impact of cigarette smoking in predicting stroke using CHADS2 and CHA2DS2-VASc schemas.

Authors:  Ming-Liang Zuo; Chun-Mei Li; Yan Deng; Sanjib Bhattacharyya; Ping Shuai; Hung-Fat Tse; Chung-Wah Siu; Li-Xue Yin
Journal:  Neurol Sci       Date:  2020-06-22       Impact factor: 3.307

2.  Distinction in Prevalence of Atherosclerotic Embolic Sources in Cryptogenic Stroke With Cancer Status.

Authors:  Muneaki Kikuno; Yuji Ueno; Hidehiro Takekawa; Kodai Kanemaru; Takahiro Shimizu; Ayako Kuriki; Yohei Tateishi; Ryosuke Doijiri; Yoshiaki Shimada; Eriko Yamaguchi; Masatoshi Koga; Yuki Kamiya; Masafumi Ihara; Akira Tsujino; Koichi Hirata; Yasuhiro Hasegawa; Hitoshi Aizawa; Nobutaka Hattori; Takao Urabe
Journal:  J Am Heart Assoc       Date:  2021-10-23       Impact factor: 5.501

3.  The Index of Esophageal Cancer Related Ischemic Stroke: A Retrospective Patient Control Study.

Authors:  Yayuan Liu; Lizhi Lu; Xuemin Cheng; Qixiong Qin; Yunfei Wei; Dacheng Wang; Haihua Li; Guohui Li; Hongbin Liang; Shengyu Li; Zhijian Liang
Journal:  Neuropsychiatr Dis Treat       Date:  2022-03-02       Impact factor: 2.570

  3 in total

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