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Short‐term outcomes in patients with lung cancer‐associated acute ischemic stroke

BACKGROUND: To investigate the independent risk factors of poor short‐term outcomes in patients with lung cancer‐associated acute ischemic stroke (LCAIS) and use them to develop an index of prognosis LCAIS (pLCAIS) which could help clinicians identify patients at high risk for poor short‐term outcom...

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Autores principales: Wang, Ruixia, Xu, Peijun, Zhou, Jun, Meng, Yuanyuan, Men, Kun, Zhang, Jinyuan, Lu, Wei, Xue, Juanjuan, Li, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527172/
https://www.ncbi.nlm.nih.gov/pubmed/36065806
http://dx.doi.org/10.1111/1759-7714.14611
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author Wang, Ruixia
Xu, Peijun
Zhou, Jun
Meng, Yuanyuan
Men, Kun
Zhang, Jinyuan
Lu, Wei
Xue, Juanjuan
Li, Xin
author_facet Wang, Ruixia
Xu, Peijun
Zhou, Jun
Meng, Yuanyuan
Men, Kun
Zhang, Jinyuan
Lu, Wei
Xue, Juanjuan
Li, Xin
author_sort Wang, Ruixia
collection PubMed
description BACKGROUND: To investigate the independent risk factors of poor short‐term outcomes in patients with lung cancer‐associated acute ischemic stroke (LCAIS) and use them to develop an index of prognosis LCAIS (pLCAIS) which could help clinicians identify patients at high risk for poor short‐term outcomes. METHODS: We retrospectively enrolled patients with lung cancer‐associated acute ischemic stroke and employed the 90D modified Rankin cale (mRS) to divide them into two groups: good outcomes (score 0–2) and poor outcomes (score 3–6). Propensity score matching (PSM) was used to remove confounding factors, and multivariable logistic regression analysis was used to analyze the independent risk factors of pLCAIS. The receiver operating characteristic (ROC) and area under the ROC curve (AUC) developed a multiple model combining the independent risk factors of pLCAIS. RESULTS: A total of 172 patients were included: 67 (38.9%) with good outcomes and 105 (61.1%) with poor outcomes. After using PSM, there were 33 cases in each group. The results showed that patients with poor short‐term outcomes were significantly higher in D‐dimer (OR = 1.001, 95% CI: 1.000–1.002, p = 0.048), CRP (OR = 1.078, 95% CI: 1.008–1.153, p = 0.028), and neutrophil count (OR = 14.673, 95% CI: 1.802–19.500, p = 0.012). The ROC curve, used to assess the diagnostic ability of binary classifiers, showed that the product of these three independent risk factors showed high sensitivity and specificity. CONCLUSION: In this study, we have identified three independent risk factors associated with poor short‐term outcomes in pLCAIS: higher NC, CRP, and D‐dimer levels. These findings may be helpful for clinicians in identifying poor short‐term outcomes patients.
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spelling pubmed-95271722022-10-06 Short‐term outcomes in patients with lung cancer‐associated acute ischemic stroke Wang, Ruixia Xu, Peijun Zhou, Jun Meng, Yuanyuan Men, Kun Zhang, Jinyuan Lu, Wei Xue, Juanjuan Li, Xin Thorac Cancer Original Articles BACKGROUND: To investigate the independent risk factors of poor short‐term outcomes in patients with lung cancer‐associated acute ischemic stroke (LCAIS) and use them to develop an index of prognosis LCAIS (pLCAIS) which could help clinicians identify patients at high risk for poor short‐term outcomes. METHODS: We retrospectively enrolled patients with lung cancer‐associated acute ischemic stroke and employed the 90D modified Rankin cale (mRS) to divide them into two groups: good outcomes (score 0–2) and poor outcomes (score 3–6). Propensity score matching (PSM) was used to remove confounding factors, and multivariable logistic regression analysis was used to analyze the independent risk factors of pLCAIS. The receiver operating characteristic (ROC) and area under the ROC curve (AUC) developed a multiple model combining the independent risk factors of pLCAIS. RESULTS: A total of 172 patients were included: 67 (38.9%) with good outcomes and 105 (61.1%) with poor outcomes. After using PSM, there were 33 cases in each group. The results showed that patients with poor short‐term outcomes were significantly higher in D‐dimer (OR = 1.001, 95% CI: 1.000–1.002, p = 0.048), CRP (OR = 1.078, 95% CI: 1.008–1.153, p = 0.028), and neutrophil count (OR = 14.673, 95% CI: 1.802–19.500, p = 0.012). The ROC curve, used to assess the diagnostic ability of binary classifiers, showed that the product of these three independent risk factors showed high sensitivity and specificity. CONCLUSION: In this study, we have identified three independent risk factors associated with poor short‐term outcomes in pLCAIS: higher NC, CRP, and D‐dimer levels. These findings may be helpful for clinicians in identifying poor short‐term outcomes patients. John Wiley & Sons Australia, Ltd 2022-08-18 2022-10 /pmc/articles/PMC9527172/ /pubmed/36065806 http://dx.doi.org/10.1111/1759-7714.14611 Text en © 2022 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Wang, Ruixia
Xu, Peijun
Zhou, Jun
Meng, Yuanyuan
Men, Kun
Zhang, Jinyuan
Lu, Wei
Xue, Juanjuan
Li, Xin
Short‐term outcomes in patients with lung cancer‐associated acute ischemic stroke
title Short‐term outcomes in patients with lung cancer‐associated acute ischemic stroke
title_full Short‐term outcomes in patients with lung cancer‐associated acute ischemic stroke
title_fullStr Short‐term outcomes in patients with lung cancer‐associated acute ischemic stroke
title_full_unstemmed Short‐term outcomes in patients with lung cancer‐associated acute ischemic stroke
title_short Short‐term outcomes in patients with lung cancer‐associated acute ischemic stroke
title_sort short‐term outcomes in patients with lung cancer‐associated acute ischemic stroke
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527172/
https://www.ncbi.nlm.nih.gov/pubmed/36065806
http://dx.doi.org/10.1111/1759-7714.14611
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