Observational studyFrontiers in immunology2023
Lymphocyte-to-C reactive protein ratio as novel inflammatory marker for predicting outcomes in hemodialysis patients: A multicenter observational study.
Observational study in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Prognostic value of the lymphocyte-to-C-reactive protein ratio for mortality in geriatric patients with severe dysphagia requiring artificial nutrition: a retrospective secondary analysis.Frontiers in medicine · 2026Article
- Correlation of Lymphocyte-to-C-Reactive Protein Ratio With Erectile Dysfunction Risk in United States Adult Males during 2001-2004: A Cross-Sectional Analysis.Health science reports · 2025Article
- Inflammatory and nutritional indices for overall survival in Hemodialysis patients: a multicenter cohort study.BMC nephrology · 2025Article
- Antibody Titer Against Varicella Zoster Virus and Recombinant Varicella Zoster Vaccine in Hemodialysis Patients: What We Know, What We Should Know.Life (Basel, Switzerland) · 2025Article
- Lymphocyte to c-reactive protein ratio predicts the risk of contrast-induced acute kidney injury in STEMI patients undergoing percutaneous coronary intervention.BMC cardiovascular disorders · 2025Article
- Prognostic Role of Lymphocyte-to-C-Reactive Protein Ratio in Patients with Pulmonary Arterial Hypertension.Journal of clinical medicine · 2024Article
- Article
- Prognostic Value of Inflammation Scores and Hematological Indices in IgA and Membranous Nephropathies: An Exploratory Study.Medicina (Kaunas, Lithuania) · 2024Observational
- Lymphocyte to C-reactive protein ratio is associated with in-hospital cardiac death in elderly patients with non-ST-segment elevation myocardial infarction.Frontiers in cardiovascular medicine · 2024Article
- Association of lymphocyte-to-C-reactive protein ratio with cerebral small vessel disease: a cross-sectional study based on dose-response analysis.Frontiers in neurology · 2024Article
- A Predictive Model of New-Onset Atrial Fibrillation After Percutaneous Coronary Intervention in Acute Myocardial Infarction Based on the Lymphocyte to C-Reactive Protein Ratio.Journal of inflammation research · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Patients undergoing hemodialysis experience inflammation, which is associated with a higher risk of mortality. The lymphocyte-to-C reactive protein ratio (LCR) is a novel marker of inflammation that has been shown to predict mortality in patients with malignant cancer. However, the utility of LCR has not been evaluated in patients undergoing hemodialysis. Methods: We performed a multi-center cohort study of 3,856 patients who underwent hemodialysis as part of the Beijing Hemodialysis Quality Control and Improvement Project between 1 January 2012 and December 2019. The relationship between LCR and all-cause mortality was assessed using a restricted cubic spline model and a multivariate Cox regression model. An outcome-oriented method was used to determine the most appropriate cut-off value of LCR. Subgroup analysis was also performed to evaluate the relationships of LCR with key parameters. Results: Of the 3,856 enrolled patients, 1,581 (41%) were female, and their median age was 62 (53, 73) years. Over a median follow-up period of 75.1 months, 1,129 deaths occurred. The mortality rate for the patients after 60 months was 38.1% (95% confidence interval (CI) 36%-40.1%), resulting in a rate of 93.41 events per 1,000 patient-years. LCR showed an L-shaped dose-response relationship with all-cause mortality. The optimal cut-off point for LCR as a predictor of mortality in hemodialysis patients was 1513.1. An LCR of ≥1513.1 could independently predict mortality (hazard ratio 0.75, 95% CI 0.66-0.85, P<0.001). Conclusions: Baseline LCR was found to be an independent prognostic biomarker in patients undergoing hemodialysis. Implying that it should be a useful means of improving patient prognosis and judging the timing of appropriate interventions in routine clinical practice.
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