ArticleJournal of clinical laboratory analysis2022
Predictive value of lymphocyte-to-monocyte ratio in critically Ill patients with atrial fibrillation: A propensity score matching analysis.
Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association of inflammatory markers with clinical outcomes in atrial fibrillation: a meta-analysis.Frontiers in cardiovascular medicine · 2025Pooled it
- Hematological parameters in atrial fibrillation: A literature review.World journal of cardiology · 2025Review
- Prediction of three-year all-cause mortality in patients with heart failure and atrial fibrillation using the CatBoost model.BMC cardiovascular disorders · 2025Article
- Systemic immune inflammation index as a predictor for atrial fibrillation recurrence after catheter ablation.World journal of cardiology · 2025Article
- Predicting cardiovascular disease and all-cause mortality using the lymphocyte-to-monocyte ratio: Insights from explainable machine learning models.International journal of cardiology. Cardiovascular risk and prevention · 2025Article
- Routinely available inflammation biomarkers to predict stroke and mortality in atrial fibrillation.Clinics (Sao Paulo, Brazil) · 2025Article
- Association Between the Naples Score and Recurrence in Patients With Atrial Fibrillation Undergoing Radiofrequency Catheter Ablation.Cardiovascular therapeutics · 2025Article
- Construction and validation of a predictive model for new-onset atrial fibrillation in patients with acute myocardial infarction following emergency percutaneous coronary intervention based on novel inflammatory markers.Frontiers in cardiovascular medicine · 2025Article
- Article
- Monocyte-to-lymphocyte ratio is a prognostic predictor for patients with non-small cell lung cancer treated with stereotactic body radiation therapy.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2024Article
- Development and Validation of a Predictive Model Based on LASSO Regression: Predicting the Risk of Early Recurrence of Atrial Fibrillation after Radiofrequency Catheter Ablation.Diagnostics (Basel, Switzerland) · 2023Article
- Association between the systemic immune-inflammation index and outcomes among atrial fibrillation patients with diabetes undergoing radiofrequency catheter ablation.Clinical cardiology · 2023Article
- Predictive value of lymphocyte-to-monocyte ratio in critically Ill patients with atrial fibrillation: A propensity score matching analysis.Journal of clinical laboratory analysis · 2022Article
- Development and Validation of a Risk Nomogram Model for Predicting Recurrence in Patients with Atrial Fibrillation After Radiofrequency Catheter Ablation.Clinical interventions in aging · 2022Observational
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13 authors.
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Abstract
backgroundInflammation plays a key role in the initiation and progression of atrial fibrillation (AF). Lymphocyte-to-monocyte ratio (LMR) has been proved to be a reliable predictor of many inflammation-associated diseases, but little data are available on the relationship between LMR and AF. We aimed to evaluate the predictive value of LMR in predicting all-cause mortality among AF patients.
methodsData of patients diagnosed with AF were retrieved from the Medical Information Mart for Intensive Care-III (MIMIC-III) database. X-tile analysis was used to calculate the optimal cutoff value for LMR. The Cox regression model was used to assess the association of LMR and 28-day, 90-day, and 1-year mortality. Additionally, a propensity score matching (PSM) method was performed to minimize the impact of potential confounders.
resultsA total of 3567 patients hospitalized with AF were enrolled in this study. The X-tile software indicated that the optimal cutoff value of LMR was 2.67. A total of 1127 pairs were generated, and all the covariates were well balanced after PSM. The Cox proportional-hazards model showed that patients with the low LMR (≤2.67) had a higher 1-year all-cause mortality than those with the high LMR (>2.67) in the study cohort before PSM (HR = 1.640, 95% CI: 1.437-1.872, p < 0.001) and after PSM (HR = 1.279, 95% CI: 1.094-1.495, p = 0.002). The multivariable Cox regression analysis for 28-day and 90-day mortality yielded similar results.
conclusionsThe lower LMR (≤2.67) was associated with a higher risk of 28-day, 90-day, and 1-year all-cause mortality, which might serve as an independent predictor in AF patients.
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