scholarly journals Neutrophil-to-lymphocyte ratio as a bladder cancer biomarker: Assessing prognostic and predictive value in SWOG 8710

Cancer ◽  
2016 ◽  
Vol 123 (5) ◽  
pp. 794-801 ◽  
Author(s):  
Eric Ojerholm ◽  
Andrew Smith ◽  
Wei-Ting Hwang ◽  
Brian C. Baumann ◽  
Kai N. Tucker ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Predictive Value ◽  
Cancer Biomarker ◽  
Neutrophil To Lymphocyte Ratio ◽  
Lymphocyte Ratio

scholarly journals Reply to Neutrophil-to-lymphocyte ratio as a bladder cancer biomarker: Assessing prognostic and predictive value in SWOG 8710

Cancer ◽  
2017 ◽  
Vol 123 (19) ◽  
pp. 3856-3856
Author(s):  
Eric Ojerholm ◽  
Andrew Smith ◽  
Wei-Ting Hwang ◽  
John P. Christodouleas
Keyword(s):  
Bladder Cancer ◽  
Predictive Value ◽  
Cancer Biomarker ◽  
Neutrophil To Lymphocyte Ratio ◽  
Lymphocyte Ratio

scholarly journals 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

Biomedicines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1656
Author(s):  
Emanuel Moisa ◽  
Dan Corneci ◽  
Silvius Negoita ◽  
Cristina Raluca Filimon ◽  
Andreea Serbu ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Critically Ill ◽  
Systemic Inflammation ◽  
Predictive Value ◽  
Cox Regression ◽  
Invasive Mechanical Ventilation ◽  
Neutrophil To Lymphocyte Ratio ◽  
Dynamic Changes ◽  
Hematological Indices ◽  
Lymphocyte Ratio

Background: Hematological indices can predict disease severity, progression, and death in patients with coronavirus disease-19 (COVID-19). Objectives: To 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. Methods: Observational, 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. Results: Patients comprised 186 males and 86 females with no difference across groups (p > 0.05). ΔNLR > 2 had the best independent predictive value for IMV need (HR = 5.05 (95% CI, 3.06–8.33, p < 0.0001)), followed by ΔSII > 340 (HR = 3.56, 95% CI 2.21–5.74, p < 0.0001) and ΔdNLR > 1 (HR = 2.61, 95% CI 1.7–4.01, p < 0.0001). Death was also best predicted by an NLR > 11 (HR = 2.25, 95% CI: 1.31–3.86, p = 0.003) followed by dNLR > 6.93 (HR = 1.89, 95% CI: 1.2–2.98, p = 0.005) and SII > 3700 (HR = 1.68, 95% CI: 1.13–2.49, p = 0.01). Conclusions: Dynamic changes of NLR, SII, and dNLR independently predict IMV need and death in critically ill COVID-19 patients.

scholarly journals Combination of C-Reactive Protein and Neutrophil-to-Lymphocyte Ratio as a Novel Prognostic Index in Patients With Bladder Cancer After Radical Cystectomy

2021 ◽  
Vol 11 ◽  
Author(s):  
Yidi Wang ◽  
Keyi Wang ◽  
Jinliang Ni ◽  
Houliang Zhang ◽  
Lei Yin ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Radical Cystectomy ◽  
Cox Regression ◽  
Roc Curves ◽  
Neutrophil To Lymphocyte Ratio ◽  
Postoperative Survival ◽  
C Reactive Protein ◽  
Lymphocyte Ratio ◽  
Reactive Protein ◽  
T Stage

BackgroundInflammation is widely considered an important hallmark of cancer and associated with poor postoperative survival. The objective of this study is to assess the significance of preoperative C-NLR, a new inflammation-based index that includes preoperative C-reactive protein (CRP) and neutrophil-to-lymphocyte ratio (NLR), on therapeutic outcomes for bladder cancer (BC) patients after radical cystectomy (RC).Materials and MethodsBC patients who underwent RC between 2010 and 2019 were retrospectively analyzed from our medical center. The predictive effect of CRP, NLR, and C-NLR on the survival of BC patients were analyzed by the receiver operating characteristic (ROC) curves. The relationship between C-NLR and postoperative survival was investigated by Cox regression. The corresponding nomograms were built based on the Cox regression results of overall survival (OS) and disease-free survival (DFS), which were further validated by ROC curves, decision curve analysis (DCA) curves, and calibration curves.ResultsOf the 199 eligible patients, 83 (41.70%) were classified as high C-NLR group and the remaining 116 (58.30%) were classified as low C-NLR group. ROC analysis showed that C-NLR had the largest area under curve (AUC) compared to CRP and NLR. Multivariate analysis revealed that T-stage and C-NLR [high C-NLR vs. low C-NLR, hazard ratio (HR) = 2.478, 95% confidence interval (CI), 1.538–3.993, p &lt; 0.001] were independent predictors of OS, whereas T-stage, M-stage, and C-NLR (high C-NLR vs. low C-NLR, HR = 2.817, 95% CI, 1.667–4.762, p &lt; 0.001) were independent predictors of DFS. ROC and DCA analysis demonstrated better accuracy and discrimination of 3- and 5-year OS and DFS with C-NLR-based nomogram compared to TNM stage. The calibration curve reconfirmed the accurate predicting performance of nomograms.ConclusionC-NLR is a reliable predictor of long-term prognosis of BC patients after RC and will contribute to the optimization of individual therapy for BC patients.

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