Predicting new silent cerebral infarction after intracerebral hemorrhage using serum white blood cell count
Background: It has been confirmed that incidental silent cerebral infarctions (SCIs) found in healthy people may be risk factors for cerebrovascular diseases such as strokes and vascular dementia. The prospective study aimed to determine the utility of baseline serum white blood cell (WBC) counts to...
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| Format: | Article |
| Language: | English |
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Babol University of Medical Sciences
2021-01-01
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| Series: | Caspian Journal of Internal Medicine |
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| Online Access: | http://caspjim.com/article-1-2344-en.html |
| _version_ | 1818615846850789376 |
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| author | Yuanwei wang |
| author_facet | Yuanwei wang |
| author_sort | Yuanwei wang |
| collection | DOAJ |
| description | Background: It has been confirmed that incidental silent cerebral infarctions (SCIs) found in healthy people may be risk factors for cerebrovascular diseases such as strokes and vascular dementia. The prospective study aimed to determine the utility of baseline serum white blood cell (WBC) counts to predict the emergence of new SCI after intracranial hemorrhage (ICH).
Methods: This is a prospective study. From January 2016 to December 2017, we recruited 171 patients admitted to the neurology department of the Affiliated Shuyang Hospital of Xuzhou Medical University with a first episode of ICH. Serum WBC count was measured on admission. SCI was detected by cranial magnetic resonance imaging (MRI) 14 days after the onset of the ICH. Receiver operating characteristic curve analysis was used to calculate the most appropriate cut-off values of the WBC count for differentiating patients with and without SCI at the end of the study period.
Results: New SCIs were detected in 28.07% of patients by cranial MRI. Multivariate logistic regression analysis showed that cerebral microbleeds (CMBs), raised WBC counts, and leukoaraiosis were independent risk factors for SCI. The most appropriate cut-off WBC count differentiating the two groups was 7.65×109/L (sensitivity: 77.08%, specificity: 63.41%).
Conclusion: Elevated levels of serum WBC counts in patients with ICH are associated with SCI. There is potential value in using serum WBC counts to predict new SCI after an acute hemorrhagic stroke. |
| first_indexed | 2024-12-16T16:40:24Z |
| format | Article |
| id | doaj.art-d255eea359e142b1ad66be6f0f8d77b5 |
| institution | Directory Open Access Journal |
| issn | 2008-6164 2008-6172 |
| language | English |
| last_indexed | 2024-12-16T16:40:24Z |
| publishDate | 2021-01-01 |
| publisher | Babol University of Medical Sciences |
| record_format | Article |
| series | Caspian Journal of Internal Medicine |
| spelling | doaj.art-d255eea359e142b1ad66be6f0f8d77b52022-12-21T22:24:20ZengBabol University of Medical SciencesCaspian Journal of Internal Medicine2008-61642008-61722021-01-0112197102Predicting new silent cerebral infarction after intracerebral hemorrhage using serum white blood cell countYuanwei wang0 Department of Neurology, The Affiliated Shuyang Hospital of Xuzhou Medical University, Shuyang, Jiangsu, China Background: It has been confirmed that incidental silent cerebral infarctions (SCIs) found in healthy people may be risk factors for cerebrovascular diseases such as strokes and vascular dementia. The prospective study aimed to determine the utility of baseline serum white blood cell (WBC) counts to predict the emergence of new SCI after intracranial hemorrhage (ICH). Methods: This is a prospective study. From January 2016 to December 2017, we recruited 171 patients admitted to the neurology department of the Affiliated Shuyang Hospital of Xuzhou Medical University with a first episode of ICH. Serum WBC count was measured on admission. SCI was detected by cranial magnetic resonance imaging (MRI) 14 days after the onset of the ICH. Receiver operating characteristic curve analysis was used to calculate the most appropriate cut-off values of the WBC count for differentiating patients with and without SCI at the end of the study period. Results: New SCIs were detected in 28.07% of patients by cranial MRI. Multivariate logistic regression analysis showed that cerebral microbleeds (CMBs), raised WBC counts, and leukoaraiosis were independent risk factors for SCI. The most appropriate cut-off WBC count differentiating the two groups was 7.65×109/L (sensitivity: 77.08%, specificity: 63.41%). Conclusion: Elevated levels of serum WBC counts in patients with ICH are associated with SCI. There is potential value in using serum WBC counts to predict new SCI after an acute hemorrhagic stroke.http://caspjim.com/article-1-2344-en.htmlcerebral infarctionintracerebral haemorrhagewbc countcerebral microbleedsilent cerebral infarction. |
| spellingShingle | Yuanwei wang Predicting new silent cerebral infarction after intracerebral hemorrhage using serum white blood cell count Caspian Journal of Internal Medicine cerebral infarction intracerebral haemorrhage wbc count cerebral microbleed silent cerebral infarction. |
| title | Predicting new silent cerebral infarction after intracerebral hemorrhage using serum white blood cell count |
| title_full | Predicting new silent cerebral infarction after intracerebral hemorrhage using serum white blood cell count |
| title_fullStr | Predicting new silent cerebral infarction after intracerebral hemorrhage using serum white blood cell count |
| title_full_unstemmed | Predicting new silent cerebral infarction after intracerebral hemorrhage using serum white blood cell count |
| title_short | Predicting new silent cerebral infarction after intracerebral hemorrhage using serum white blood cell count |
| title_sort | predicting new silent cerebral infarction after intracerebral hemorrhage using serum white blood cell count |
| topic | cerebral infarction intracerebral haemorrhage wbc count cerebral microbleed silent cerebral infarction. |
| url | http://caspjim.com/article-1-2344-en.html |
| work_keys_str_mv | AT yuanweiwang predictingnewsilentcerebralinfarctionafterintracerebralhemorrhageusingserumwhitebloodcellcount |