ArticleCureus2022
An Elevated Neutrophil-to-Lymphocyte Ratio Predicts In-Hospital Mortality in Stroke Patients: A Prospective Cohort Study.
Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Immunosenescence and its impact on ischemic stroke risk and outcomes in older adults: a systematic review.Frontiers in aging neuroscience · 2026Pooled it
- Leucocytosis and outcomes in older ICU patients after ischaemic stroke: a binational multicentre cohort study.BMJ neurology open · 2026Article
- Neutrophil to Lymphocyte Ratio as a Predictor of Postoperative Outcomes in Traumatic Brain Injury: A Systematic Review and Meta-Analysis.Diseases (Basel, Switzerland) · 2023Review
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Cerebrovascular accidents or strokes are a major cause of mortality and morbidity in today's world. Post-stroke disabilities like paralysis, dementia, etc., can affect the quality of life of patients as well as their families. A combined increase in neutrophils and a decrease in lymphocytes during inflammation in stroke manifests as an elevated neutrophil-to-lymphocyte ratio (NLR), thereby indicating the severity of neural damage. Aim We aimed to determine if an elevated NLR observed on the day of hospital admission can predict a higher risk of in-hospital mortality in stroke patients. Confirmatory results could aid in developing risk stratification for management, ultimately improving clinical and functional outcomes. Materials and methods Sixty stroke patients were monitored throughout their hospital stay in this prospective cohort study. NLR was calculated at admission using routine complete blood counts. The data were analyzed using SPSS Software v23.0 (IBM Corp., Armonk, NY). An unpaired t-test was used to compare the means between the two groups. Categorical data were analyzed using the chi-square test. The receiver operating curve (ROC) was plotted and used to ascertain if a cut-off value of NLR could be obtained to predict in-hospital mortality in stroke patients. P values <0.05 were considered statistically significant. Results About 23.3% (n=14) of the patients died during their hospital stay, with no significant differences between the survivor and death cohorts in terms of comorbidities like diabetes and hypertension. The mean NLR calculated within 24 hours of hospital admission in patients who died (NLR=8.47 (standard deviation (SD)=4.67)) was significantly higher (p=0.009) than in those who survived (NLR=5.84 (SD=2.62)). Upon ROC analysis, patients with NLR >6.03 on the day of admission demonstrated a higher risk of in-hospital mortality (p=0.015 (95% CI: 0.577-0.855)). An area under the curve (AUC) of 0.72 with a sensitivity of 92.86% and a specificity of 54.35% was obtained. Conclusions Elevated NLR (cut-off >6.03) obtained within 24 hours of hospital admission is an indicator of a higher risk of in-hospital mortality in stroke patients. Hence, patients presenting with a high NLR at admission can be prioritized for personalized targeted treatment, potentially reducing mortality and post-stroke complications.
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