ArticleFrontiers in cardiovascular medicine2022
The Core Role of Neutrophil-Lymphocyte Ratio to Predict All-Cause and Cardiovascular Mortality: A Research of the 2005-2014 National Health and Nutrition Examination Survey.
Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The association between albumin/neutrophil-to-lymphocyte ratio score and all-cause mortality in critically ill patients with atrial fibrillation: a retrospective study from Medical Information Mart for Intensive Care IV (MIMIC-IV) database.Journal of thoracic disease · 2026Article
- Prognostic Value of the Neutrophil-to-Lymphocyte Ratio for All-Cause Mortality in Patients With Cardiovascular-Kidney-Metabolic Stage 4.Mediators of inflammation · 2026Article
- Review
- Association Between Neutrophil Percentage to-Albumin Ratio, Neutrophil to-Lymphocyte Ratio, Platelet-to Lymphocyte Ratio and in-Hospital Mortality in Elder Patients with Bloodstream Infections.Journal of inflammation research · 2025Article
- Association of neutrophil-to-lymphocyte ratio and risk of cardiovascular and all-cause mortality in hypertension patients.Heliyon · 2024Article
- Association between neutrophil percentage-to-albumin ratio (NPAR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and long-term mortality in community-dwelling adults with heart failure: evidence from US NHANES 2005-2016.BMC cardiovascular disorders · 2023Article
- Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio as Predictive Factors for Mortality and Length of Hospital Stay after Cardiac Surgery.Journal of personalized medicine · 2023Article
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7 authors.
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Abstract
Objective: To further supplement the previous research on the relationship between neutrophil-lymphocyte ratio (NLR) and all-cause and cardiovascular mortality, and construct clinical models to predict mortality. Methods: A total number of 2,827 observers were included from the National Health and Nutrition Examination Survey (NHANES) database in our research. NLR was calculated from complete blood count. According to the quartile of baseline NLR, those observers were divided into four groups. A multivariate weighted Cox regression model was used to analyze the association of NLR with mortality. We constructed simple clinical prognosis models by nomograms. Kaplan-Meier survival curves were used to depict cause-specific mortality. Restricted cubic spline regression was used to make explicit relationships between NLR and mortality. Results: This study recruited 2,827 subjects aged ≥ 18 years from 2005 to 2014. The average age of these observers was 51.55 ± 17.62, and 57.69% were male. NLR is still an independent predictor, adjusted for age, gender, race, drinking, smoking, dyslipidemia, and other laboratory covariates. The area under the receiver operating characteristic curves (AUCs) of NLR for predicting all-cause mortality and cardiovascular mortality were 0.632(95% CI [0599, 0.664]) and 0.653(95% CI [0.581, 0.725]), respectively, which were superior to C-reactive protein (AUCs: 0.609 and 0.533) and WBC (AUCs: 0.522 and 0.513). The calibration and discrimination of the nomograms were validated by calibration plots and concordance index (C-index), and the C-indexes (95% CIs) of nomograms for all-cause and cardiovascular mortality were 0.839[0.819,0.859] and 0.877[0.844,0.910], respectively. The restricted cubic spline showed a non-linear relationship between NLR and mortality. NLR > 2.053 might be a risk factor for mortality. Conclusion: There is a non-linear relationship between NLR and mortality. NLR is an independent factor related to mortality, and NLR > 2.053 will be a risk factor for prognosis. NLR and nomogram should be promoted to medical use for practicality and convenience.
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