ArticleBiomedicines2021
Dynamic Changes of the Neutrophil-to-Lymphocyte Ratio, Systemic Inflammation Index, and Derived Neutrophil-to-Lymphocyte Ratio Independently Predict Invasive Mechanical Ventilation Need and Death in Critically Ill COVID-19 Patients.
Article in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systemic inflammation index, disease severity, and mortality in patients with COVID-19: a systematic review and meta-analysis.Frontiers in immunology · 2023Pooled it
- The neutrophil-to-lymphocyte ratio as a prognostic biomarker in Guillain-Barre syndrome: a systematic review with meta-analysis.Frontiers in neurology · 2023Pooled it
- One Index Does Not Predict All-Hematological Derived Indices Have Different Predictive Value for ICU Mortality in Critically Ill Patients with Non-Infectious Versus Infectious Acute Exacerbation of COPD.Medicina (Kaunas, Lithuania) · 2026Observational
- Machine learning prediction of postoperative acute kidney injury in aortic dissection patients using dynamic inflammatory markers and clinical features.BMC medical informatics and decision making · 2026Article
- Detection of Mild COVID-19 in Frail Older Adults Using Simple Inflammatory Indices: A Comparative Cohort Analysis.Life (Basel, Switzerland) · 2025Article
- Pronounced effects of the sepsis-obesity paradox in elderly and male individuals without septic shock and the role of immune-inflammatory status: an analysis of MIMIC-IV data.BMC infectious diseases · 2025Article
- Evaluation of Novel Combined CBC-Derived Systemic Inflammatory Ratios and Their Dynamic Changes as ICU Mortality Predictors, a Retrospective Cohort.Health science reports · 2025Article
- Immune Cell-Based versus Albumin-Based Ratios as Outcome Predictors in Critically Ill COVID-19 Patients.Journal of inflammation research · 2025Article
- Predictive model for coronavirus disease 2019 severity based on blood biomarkers: a retrospective study.Frontiers in medicine · 2025Article
- The association of neutrophil-to-lymphocyte ratio with post-chemotherapy pulmonary infection in lung cancer patients.Frontiers in medicine · 2025Article
- Article
- Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios as mortality predictors in acute Aluminum phosphide (grain pills) poisoning: clinical insights and risk assessment.Toxicology research · 2024Article
- Article
- Meta-analysis of the systemic immune-inflammatory index and in-hospital mortality of COVID-19 patients.Heliyon · 2024Article
- Article
- Article
- Predictive Value of the Platelet Times Neutrophil-to-Lymphocyte Ratio (SII Index) for COVID-19 In-Hospital Mortality.EJIFCC · 2023Article
- Acute effects of concurrent muscle power and sport-specific endurance exercises on markers of immunological stress response and measures of muscular fitness in highly trained youth male athletes.European journal of applied physiology · 2023Article
- Changing Face of Inflammatory Activation in Complex Coronary Artery Disease during the COVID-19 Pandemic.Journal of cardiovascular development and disease · 2023Article
- Hematological Parameters and Procalcitonin as Discriminants between Bacterial Pneumonia-Induced Sepsis and Viral Sepsis Secondary to COVID-19: A Retrospective Single-Center Analysis.International journal of molecular sciences · 2023Observational
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHematological indices can predict disease severity, progression, and death in patients with coronavirus disease-19 (COVID-19).
objectivesTo study the predictive value of the dynamic changes (first 48 h after ICU admission) of the following ratios: neutrophil-to-lymphocyte (NLR), platelet-to-lymphocyte (PLR), monocyte-to-lymphocyte (MLR), systemic inflammation index (SII), and derived neutrophil-to-lymphocyte (dNLR) for invasive mechanical ventilation (IMV) need and death in critically ill COVID-19 patients.
methodsObservational, retrospective, and multicentric analysis on 272 patients with severe or critical COVID-19 from two tertiary centers. Hematological indices were adjusted for confounders through multivariate analysis using Cox regression.
resultsPatients comprised 186 males and 86 females with no difference across groups (
conclusionsDynamic changes of NLR, SII, and dNLR independently predict IMV need and death in critically ill COVID-19 patients.
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