We demonstrated that patients with non-dipper hypertension had significantly higher NLR and PLR compared to dipper hypertension, which has not been reported previously. Moreover PLR more than 107 but not NLR was independent predictor of non-dipper status.

BackgroundNeutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are inflammatory markers used as prognostic factors in various diseases. The aims of this study were to compare the PLR and the NLR of heart failure (HF) patients with those of age-sex matched controls, to evaluate the predictive value of those markers in detecting HF, and to demonstrate the effect of NLR and PLR on mortality in HF patients during follow-up.MethodsThis study included 56 HF patients and 40 controls without HF. All subjects underwent transthoracic echocardiography to evaluate cardiac functions. The NLR and the PLR were calculated as the ratio of neutrophil count to lymphocyte count and as the ratio of platelet count to lymphocyte count, respectively. All HF patients were followed after their discharge from the hospital to evaluate mortality, cerebrovascular events, and re-hospitalization.ResultsThe NLR and the PLR of HF patients were significantly higher compared to those of the controls (p < 0.01). There was an inverse correlation between the NLR and the left ventricular ejection fraction of the study population (r: -0.409, p < 0.001). The best cut-off value of NLR to predict HF was 3.0, with 86.3% sensitivity and 77.5% specificity, and the best cut-off value of PLR to predict HF was 137.3, with 70% sensitivity and 60% specificity. Only NLR was an independent predictor of mortality in HF patients. A cut-off value of 5.1 for NLR can predict death in HF patients with 75% sensitivity and 62% specificity during a 12.8-month follow-up period on average.ConclusionNLR and PLR were higher in HF patients than in age-sex matched controls. However, NLR and PLR were not sufficient to establish a diagnosis of HF. NLR can be used to predict mortality during the follow-up of HF patients.

A b s t r a c tBackground: Atherosclerosis is a chronic systemic inflammatory disease. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are systemic inflammatory markers that are correlated with poor cardiovascular outcomes. Aim:To explore the relation of NLR and PLR with severity of coronary artery disease (CAD). Methods:The study population consisted of 180 consecutive patients who underwent elective coronary angiography (CAG). While 100 patients (22 female, mean age: 60.6 ± 12.6 years) had abnormal CAG, 80 patients (44 female, mean age: 57.2 ± 10.9 years) had normal CAG. NLR and PLR were calculated as the ratio of neutrophil count to lymphocyte count and as the ratio of platelet count to lymphocyte count, respectively. Results:Although age distribution was similar between the two groups (p = 0.073), female gender was significantly higher in the normal CAG group (p < 0.001). Patients with abnormal CAG had significantly higher NLR and PLR when compared to patients with normal CAG (3.7 ± 2.6 vs. 2.2 ± 1.7, p < 0.001 and 125.9 ± 72.3 vs. 102.6 ± 33.8, p = 0.027, respectively). NLR and PLR were significantly correlated with SYNTAX score and GENSINI score. In logistic regression analyses, only NLR (odds ratio: 1.576, confidence interval: 1.198-2.072, p = 0.001) was an independent predictor of CAD. An NLR of 2.3 or higher predicted the CAD with a sensitivity of 66% and specificity of 70%.Conclusions: NLR and PLR seem to be a simple method to predict severity of CAD in patients undergoing elective CAG, and it may be part of cardiovascular examination before CAG.

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ObjectiveChronic inflammation is associated with cardiovascular (CV) risk factors and psychiatric disorders. The neutrophil to lymphocyte ratio (NLR) has been investigated as a new biomarker for systemic inflammatory response. The aim of the study is to investigate the relation of NLR with severity of depression and CV risk factors.MethodsThe study population consisted of 256 patients with depressive disorder. Patients were evaluated with the Hamilton Rating Scale for Depression (HAM-D). Patients were classified into four groups according to their HAM-D score such as mild, moderate, severe, and very severe depression. Patients were also evaluated in terms of CV risk factors.ResultsPatients with higher HAM-D score had significantly higher NLR levels compared to patients with lower HAM-D score. Correlation analysis revealed that severity of depression was associated with NLR in depressive patients (r=0.333, p<0.001). Patients with one or more CV risk factors have significantly higher NLR levels. Correlation analysis revealed that CV risk factors were associated with NLR in depressive patients (r=0.132, p=0.034). In logistic regression analyses, NLR levels were an independent predictor of severe or very severe depression (odds ratio: 3.02, 95% confidence interval: 1.867-4.884, p<0.001). A NLR of 1.57 or higher predicted severe or very severe depression with a sensitivity of 61.4% and specificity of 61.2%.ConclusionHigher HAM-D scores are associated with higher NLR levels in depressive patients. NLR more than 1.57 was an independent predictor of severe or very severe depression. A simple, cheap white blood cell count may give an idea about the severity of depression.