The Prognosis of Neutrophil-to-Lymphocyte Ratio and Lymphocyte-to-Monocyte Ratio in Elderly with Acute Ischemic Stroke.


Journal

Clinical interventions in aging
ISSN: 1178-1998
Titre abrégé: Clin Interv Aging
Pays: New Zealand
ID NLM: 101273480

Informations de publication

Date de publication:
2024
Historique:
received: 15 08 2024
accepted: 14 10 2024
medline: 24 10 2024
pubmed: 24 10 2024
entrez: 24 10 2024
Statut: epublish

Résumé

Neutrophil-to-lymphocyte ratio (NLR) and Lymphocyte-to-monocyte ratio (LMR) have been reported to be associated with outcomes in acute ischemic stroke. However, research on elderly populations remains relatively scarce. We investigated the prognosis of NLR and LMR in elderly with acute ischemic stroke(AIS). Based on the modified Rankin Score (mRS) on the 90th day after stroke, patients were divided into group and bad prognosis groups. Multivariate logistic regression analysis and receiver operating curves were used to identify prognostic factors and their predictive powers. In total, 824 elderly patients with AIS were enrolled between November 2021 and December 2023. Significant differences emerged in the NLR, LMR, and lymphocyte count between the two groups (P<0.05). Binary logistic regression identified NLR, LMR and neutrophil count as independent risk factors for an unfavorable prognosis in elderly patients with AIS. The areas under the curve (AUCs) of NLR, LMR, and the combination of NLR and LMR to discriminate poor function prognosis were 0.703, 0.672, and 0.706, respectively. ROC analysis also showed that combination of NLR and LMR was superior to NLR and LMR alone for predicting AIS. NLR and LMR independently contribute to an unfavorable prognosis in elderly patients with AIS. The area under the ROC curve (AUC) for the combined NLR and LMR was higher than that for NLR and LMR individually, suggesting that combining these two indicators can improve the predictive ability for clinical outcomes in elderly patients with AIS.

Sections du résumé

Background UNASSIGNED
Neutrophil-to-lymphocyte ratio (NLR) and Lymphocyte-to-monocyte ratio (LMR) have been reported to be associated with outcomes in acute ischemic stroke. However, research on elderly populations remains relatively scarce. We investigated the prognosis of NLR and LMR in elderly with acute ischemic stroke(AIS).
Methods UNASSIGNED
Based on the modified Rankin Score (mRS) on the 90th day after stroke, patients were divided into group and bad prognosis groups. Multivariate logistic regression analysis and receiver operating curves were used to identify prognostic factors and their predictive powers.
Results UNASSIGNED
In total, 824 elderly patients with AIS were enrolled between November 2021 and December 2023. Significant differences emerged in the NLR, LMR, and lymphocyte count between the two groups (P<0.05). Binary logistic regression identified NLR, LMR and neutrophil count as independent risk factors for an unfavorable prognosis in elderly patients with AIS. The areas under the curve (AUCs) of NLR, LMR, and the combination of NLR and LMR to discriminate poor function prognosis were 0.703, 0.672, and 0.706, respectively. ROC analysis also showed that combination of NLR and LMR was superior to NLR and LMR alone for predicting AIS.
Conclusion UNASSIGNED
NLR and LMR independently contribute to an unfavorable prognosis in elderly patients with AIS. The area under the ROC curve (AUC) for the combined NLR and LMR was higher than that for NLR and LMR individually, suggesting that combining these two indicators can improve the predictive ability for clinical outcomes in elderly patients with AIS.

Identifiants

pubmed: 39444392
doi: 10.2147/CIA.S491753
pii: 491753
pmc: PMC11498037
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1715-1720

Informations de copyright

© 2024 Wang et al.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest in this work.

Auteurs

Jing Wang (J)

Department of Neurology, Lu'an Municipal People's Hospital, Lu'an, People's Republic of China.

Yan Zhao (Y)

Department of Neurology, Jiangsu Provincial Medical Key Discipline (Laboratory), Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, People's Republic of China.

Cunming Lv (C)

Third-Grade Pharmacological Laboratory on Chinese Medicine Approved by State Administration of Traditional Chinese Medicine, Medical College, China Three Gorges University, Yichang, People's Republic of China.

Feng Li (F)

Department of Neurology, Lu'an Municipal People's Hospital, Lu'an, People's Republic of China.

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