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Score for Predicting Active Cancer in Patients with Ischemic Stroke: A Retrospective Study
BACKGROUND: We aimed to examine the differences of clinical characteristics between patients with ischemic stroke with active cancer and those without cancer to develop a clinical score for predicting the presence of occult cancer in patients with ischemic stroke. METHODS: This retrospective study e...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169246/ https://www.ncbi.nlm.nih.gov/pubmed/34124248 http://dx.doi.org/10.1155/2021/5585206 |
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author | Jiang, Jiwei Shang, Xiuli Zhao, Jinming Cao, Meihui Wang, Jirui Li, Runzhi Wang, Yanli Xu, Jun |
author_facet | Jiang, Jiwei Shang, Xiuli Zhao, Jinming Cao, Meihui Wang, Jirui Li, Runzhi Wang, Yanli Xu, Jun |
author_sort | Jiang, Jiwei |
collection | PubMed |
description | BACKGROUND: We aimed to examine the differences of clinical characteristics between patients with ischemic stroke with active cancer and those without cancer to develop a clinical score for predicting the presence of occult cancer in patients with ischemic stroke. METHODS: This retrospective study enrolled consecutive adult patients with acute ischemic stroke who were admitted to our department between December 2017 and January 2019. The demographic, clinical, laboratory, and neuroimaging characteristics were compared between patients with ischemic stroke with active cancer and those without cancer. Multivariate analysis was performed to identify independent factors associated with active cancer. Subsequently, a predictive score was developed using the areas under the receiver operating characteristic curves based on these independent factors. Finally, Bayesian decision theory was applied to calculate the posterior probability of active cancer for finding the best scoring system. RESULTS: Fifty-three (6.63%) of 799 patients with ischemic stroke had active cancer. The absence of a history of hyperlipidemia (odds ratio (OR) = 0.17, 95% confidence interval (CI): 0.06–0.48, P < 0.01), elevated serum fibrinogen (OR = 1.72, 95% CI: 1.33–2.22, P < 0.01) and D-dimer levels (OR = 1.43, 95% CI: 1.24–1.64, P <0.01), and stroke of undetermined etiology (OR = 22.87, 95% CI: 9.91–52.78, P < 0.01) were independently associated with active cancer. A clinical score based on the absence of hyperlipidemia, serum fibrinogen level of ≥4.00 g/L, and D-dimer level of ≥2.00 μg/mL predicted active cancer with an area under the curve of 0.83 (95% CI: 0.77–0.89, P < 0.01). The probability of active cancer was 59% at a supposed prevalence of 6.63%, if all three independent factors were present in a patient with ischemic stroke. CONCLUSIONS: We devised a clinical score to predict active cancer in patients with ischemic stroke based on the absence of a history of hyperlipidemia and elevated serum D-dimer and fibrinogen levels. The use of this score may allow for early intervention. Further research is needed to confirm the implementation of this score in clinical settings. |
format | Online Article Text |
id | pubmed-8169246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-81692462021-06-11 Score for Predicting Active Cancer in Patients with Ischemic Stroke: A Retrospective Study Jiang, Jiwei Shang, Xiuli Zhao, Jinming Cao, Meihui Wang, Jirui Li, Runzhi Wang, Yanli Xu, Jun Biomed Res Int Research Article BACKGROUND: We aimed to examine the differences of clinical characteristics between patients with ischemic stroke with active cancer and those without cancer to develop a clinical score for predicting the presence of occult cancer in patients with ischemic stroke. METHODS: This retrospective study enrolled consecutive adult patients with acute ischemic stroke who were admitted to our department between December 2017 and January 2019. The demographic, clinical, laboratory, and neuroimaging characteristics were compared between patients with ischemic stroke with active cancer and those without cancer. Multivariate analysis was performed to identify independent factors associated with active cancer. Subsequently, a predictive score was developed using the areas under the receiver operating characteristic curves based on these independent factors. Finally, Bayesian decision theory was applied to calculate the posterior probability of active cancer for finding the best scoring system. RESULTS: Fifty-three (6.63%) of 799 patients with ischemic stroke had active cancer. The absence of a history of hyperlipidemia (odds ratio (OR) = 0.17, 95% confidence interval (CI): 0.06–0.48, P < 0.01), elevated serum fibrinogen (OR = 1.72, 95% CI: 1.33–2.22, P < 0.01) and D-dimer levels (OR = 1.43, 95% CI: 1.24–1.64, P <0.01), and stroke of undetermined etiology (OR = 22.87, 95% CI: 9.91–52.78, P < 0.01) were independently associated with active cancer. A clinical score based on the absence of hyperlipidemia, serum fibrinogen level of ≥4.00 g/L, and D-dimer level of ≥2.00 μg/mL predicted active cancer with an area under the curve of 0.83 (95% CI: 0.77–0.89, P < 0.01). The probability of active cancer was 59% at a supposed prevalence of 6.63%, if all three independent factors were present in a patient with ischemic stroke. CONCLUSIONS: We devised a clinical score to predict active cancer in patients with ischemic stroke based on the absence of a history of hyperlipidemia and elevated serum D-dimer and fibrinogen levels. The use of this score may allow for early intervention. Further research is needed to confirm the implementation of this score in clinical settings. Hindawi 2021-05-25 /pmc/articles/PMC8169246/ /pubmed/34124248 http://dx.doi.org/10.1155/2021/5585206 Text en Copyright © 2021 Jiwei Jiang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Jiang, Jiwei Shang, Xiuli Zhao, Jinming Cao, Meihui Wang, Jirui Li, Runzhi Wang, Yanli Xu, Jun Score for Predicting Active Cancer in Patients with Ischemic Stroke: A Retrospective Study |
title | Score for Predicting Active Cancer in Patients with Ischemic Stroke: A Retrospective Study |
title_full | Score for Predicting Active Cancer in Patients with Ischemic Stroke: A Retrospective Study |
title_fullStr | Score for Predicting Active Cancer in Patients with Ischemic Stroke: A Retrospective Study |
title_full_unstemmed | Score for Predicting Active Cancer in Patients with Ischemic Stroke: A Retrospective Study |
title_short | Score for Predicting Active Cancer in Patients with Ischemic Stroke: A Retrospective Study |
title_sort | score for predicting active cancer in patients with ischemic stroke: a retrospective study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169246/ https://www.ncbi.nlm.nih.gov/pubmed/34124248 http://dx.doi.org/10.1155/2021/5585206 |
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