Association of neutrophil-lymphocyte ratio with metabolic syndrome and its components in Asian Indians (CURES-143)

2016 ◽  
Vol 30 (8) ◽  
pp. 1525-1529 ◽  
Author(s):  
Jayagopi Surendar ◽  
Karunakaran Indulekha ◽  
Viswanathan Mohan ◽  
Rajendra Pradeepa
Keyword(s):  
Metabolic Syndrome ◽  
Asian Indians ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio

Association between Benign Prostatic Hyperplasia and Neutrophil-Lymphocyte Ratio, an Indicator of Inflammation and Metabolic Syndrome

2016 ◽  
Vol 98 (4) ◽  
pp. 466-471 ◽  
Author(s):  
Kutan Ozer ◽  
Mustafa Ozan Horsanali ◽  
Sacit Nuri Gorgel ◽  
Burcu Ozalp Horsanali ◽  
Emin Ozbek
Keyword(s):  
Metabolic Syndrome ◽  
Benign Prostatic Hyperplasia ◽  
Prostatic Hyperplasia ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio

scholarly journals Could Inflammatory Indices and Metabolic Syndrome Predict the Risk of Cancer Development? Analysis from the Bagnacavallo Population Study

2020 ◽  
Vol 9 (4) ◽  
pp. 1177 ◽  
Author(s):  
Margherita Rimini ◽  
Andrea Casadei-Gardini ◽  
Alessandra Ravaioli ◽  
Giulia Rovesti ◽  
Fabio Conti ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Physical Examination ◽  
Cancer Incidence ◽  
Univariate Analysis ◽  
Clinical History ◽  
Population Based ◽  
Study Cohort ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Risk Of Cancer

Background: Despite the robust data available on inflammatory indices (neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), and systemic immune-inflammation index (SII)) and clinical outcome in oncological patients, their utility as a predictor of cancer incidence in the general population has not been reported in literature. Methods: The Bagnacavallo study was performed between October 2005 and March 2009. All citizens of Bagnacavallo (Ravenna, Emilia-Romagna, Italy) aged 30–60 years as of January 2005 were eligible and were invited by written letter to participate to the study. All participants underwent a detailed clinical history and physical examination following the model of the Dionysos Study. All blood values included in the analysis were obtained the day of physical examination. Cancer incidence data were obtained from the population-based Romagna Cancer Registry, which operates according to standard methods. The aim of this analysis was to examine the association between metabolic syndrome and baseline SII, NLR, and PLR levels, and the diagnosis of an invasive cancer in the Bagnacavallo study cohort. Results: At univariate analysis, metabolic syndrome was not associated with an increase of cancer incidence (HR 1.30; p = 0.155). High glucose (HR 1.49; p = 0.0.16), NLR HR 1.54, p = 0.002), PLR (HR 1.58, p = 0.001), and SII (HR 1.47, p = 0.006) were associated with an increase of cancer incidence. After adjusting for clinical covariates (smoking, physical activity, education, age, and gender) SII, PLR, and NLR remained independent prognostic factors for the prediction of cancer incidence. Conclusions: Inflammatory indices are promising, easy to perform, and inexpensive tools for identifying patients with higher risk of cancer in cancer-free population.

Association of Neutrophil-Lymphocyte Ratio with Mild Cognitive Impairment in Elderly Chinese Adults: A Case-control Study

2020 ◽  
Vol 16 (14) ◽  
pp. 1309-1315
Author(s):  
Peilin An ◽  
Xuan Zhou ◽  
Yue Du ◽  
Jiangang Zhao ◽  
Aili Song ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Function ◽  
Predictive Values ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Elderly Chinese ◽  
Normal Cognitive Function ◽  
The Absolute

Background: Inflammation plays a significant role in the pathophysiology of cognitive impairment in previous studies. Neutrophil-lymphocyte ratio (NLR) is a reliable measure of systemic inflammation. Objective: The aim of this study was to investigate the association between NLR and mild cognitive impairment (MCI), and further to explore the diagnostic potential of the inflammatory markers NLR for the diagnosis of MCI in elderly Chinese individuals. Methods: 186 MCI subjects and 153 subjects with normal cognitive function were evaluated consecutively in this study. Neutrophil (NEUT) count and Lymphocyte (LYM) count were measured in fasting blood samples. The NLR was calculated by dividing the absolute NEUT count by the absolute LYM count. Multivariable logistic regression was used to evaluate the potential association between NLR and MCI. NLR for predicting MCI was analyzed using Receiver Operating Characteristic (ROC) curve analysis. Results: The NLR of MCI group was significantly higher than that of subjects with normal cognitive function (2.39 ± 0.55 vs. 1.94 ± 0.51, P < 0.001). Logistic regression analysis showed that higher NLR was an independent risk factor for MCI (OR: 4.549, 95% CI: 2.623-7.889, P < 0.001). ROC analysis suggested that the optimum NLR cut-off point for MCI was 2.07 with 73.66% sensitivity, 69.28% specificity, 74.48% Positive Predictive Values (PPV) and 68.36% negative predictive values (NPV). Subjects with NLR ≥ 2.07 showed higher risk relative to NLR < 2.07 (OR: 5.933, 95% CI: 3.467-10.155, P < 0.001). Conclusion: The elevated NLR is significantly associated with increased risk of MCI. In particular, NLR level higher than the threshold of 2.07 was significantly associated with the probability of MCI.

scholarly journals The Prognostic Significance of Combined Pretreatment Fibrinogen and Neutrophil-Lymphocyte Ratio in Various Cancers: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Rongqiang Liu ◽  
Shiyang Zheng ◽  
Qing Yuan ◽  
Peiwen Zhu ◽  
Biao Li ◽  
...  
Keyword(s):  
Prognostic Value ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Regression Analyses ◽  
Free Survival ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Meta Regression

Purpose. The prognostic value of a new scoring system, termed F-NLR, that combines pretreatment fibrinogen level with neutrophil-lymphocyte ratio has been evaluated in various cancers. However, the results are controversial. The purpose of this study was to comprehensively analyze the prognostic value of F-NLR score in patients with cancers. Methods. An integrated search of relevant studies was conducted by screening the PubMed and Embase databases. Pooled hazard ratios, with 95% confidence intervals (CIs), for overall survival (OS) and disease-free survival (DFS)/progression-free survival (PFS) were calculated to estimate the prognostic significance of F-NLR score in patients with various tumors. A random effects model was used for comprehensive analysis, and subgroup and meta-regression analyses were used to explore sources of heterogeneity. Results. Thirteen articles reporting data from of 4747 patients were included in the study. Pooled analysis revealed that high F-NLR score was significantly associated with poor OS ( HR = 1.77 ; 95% CI, 1.51–2.08) and poor DFS/PFS ( HR = 1.63 ; 95% CI, 1.30–2.05). Subgroup and meta-regression analyses did not alter the prognostic role of F-NLR score in OS and DFS/PFS. Conclusions. Increased F-NLR score is significantly associated with poor prognosis in patients with cancers and can serve as an effective prognostic indicator.

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