scholarly journals Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio as predictors of survival after heart transplantation

2017 ◽  
Vol 5 (1) ◽  
pp. 149-156 ◽  
Author(s):  
Ignacio M. Seropian ◽  
Francisco J. Romeo ◽  
Rodolfo Pizarro ◽  
Norberto O. Vulcano ◽  
Ricardo A. Posatini ◽  
...  
Keyword(s):  
Heart Transplantation ◽  
Neutrophil To Lymphocyte Ratio ◽  
Platelet To Lymphocyte Ratio ◽  
Lymphocyte Ratio

scholarly journals Neutrophil-to-Lymphocyte Ratio Is a Useful Marker for Predicting Histological Types of Early Gastric Cancer

2021 ◽  
Vol 10 (4) ◽  
pp. 791
Author(s):  
Sho Yasui ◽  
Tomoaki Takata ◽  
Yu Kamitani ◽  
Yukari Mae ◽  
Hiroki Kurumi ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Early Gastric Cancer ◽  
Inflammatory Response ◽  
Neutrophil To Lymphocyte Ratio ◽  
Platelet To Lymphocyte Ratio ◽  
Histological Assessment ◽  
Lymphocyte Ratio ◽  
Undifferentiated Adenocarcinoma ◽  
Grade Of Malignancy ◽  
The Relationship

Background: The indications for endoscopic submucosal dissection (ESD) for gastric cancer are based on preoperative histological assessment; however, examination of tissue biopsy is not always reliable as only a limited portion of the lesion can be obtained. The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are markers of inflammatory response and are potentially associated with the grade of malignancy in gastric cancer. We aimed to investigate the association between NLR and PLR and the histology of gastric cancer. Methods: This study included 218 patients who underwent ESD for gastric cancer. The relationship between NLR/PLR and histological diagnosis was investigated. Results: Patients with adenocarcinomas showed significantly higher NLR and PLR than those with adenomas (p < 0.001 and p < 0.05, respectively). Further, patients with undifferentiated adenocarcinoma showed a significantly higher NLR (p < 0.05) than those with differentiated adenocarcinoma. Conclusion: This study suggests that NLR could be a useful marker for assessing early gastric cancer.

scholarly journals Evaluation of Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, and C-Reactive Protein in Tension-Type Headache Patients

2021 ◽  
Author(s):  
Hasan Hüseyin Özdemir ◽  
Ahmet Dönder
Keyword(s):  
Systemic Inflammation ◽  
Tension Type Headache ◽  
Neutrophil To Lymphocyte Ratio ◽  
Control Group ◽  
C Reactive Protein ◽  
Platelet To Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Reactive Protein ◽  
Significant Difference ◽  
Type Headache

Abstract Objectives A tension headache is the most common type of headache, and its causes are multifactorial. A relationship has been shown between migraine headaches and neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP). In this study, we investigated the NLR, PLR, and serum CRP levels in frequent episodic tension-type headache (FETTH) and chronic tension-type headache (CTTH) patients. Materials and Methods This retrospective study included 64 patients with FETTH, 80 patients with CTTH, and 60 healthy controls who were followed up in the neurology clinic. Hematological parameters were compared between the patient and control groups. Results In CTTH patients, platelets, NLR, PLR, and CRP values were statistically higher than in FETTH patients and patients in the control group. In FETTH patients, the PLR value was higher than in patients in the control group, but there was no statistically significant difference in NLR and CRP values between FETTH patients and patients in the control group. Also, there was no correlation between these values and age and gender. Conclusion Increase platelet count might have an effect on tension-type headache pathophysiology. Systemic inflammation parameters were shown to be significantly higher in CTTH patients. More comprehensive studies are needed to evaluate the effect of systemic inflammation on the chronicity of tension headaches.

scholarly journals Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio and Their Role as Predictors of Disease Severity of Coronavirus Disease 2019 (COVID-19)

2021 ◽  
Author(s):  
Rohit Jain ◽  
Arun Gopal ◽  
Basant Kumar Pathak ◽  
Sourya Sourabh Mohakuda ◽  
TVSVGK Tilak ◽  
...  
Keyword(s):  
Disease Severity ◽  
Complete Blood Count ◽  
Wide Spectrum ◽  
Statistical Significance ◽  
Severe Disease ◽  
Neutrophil To Lymphocyte Ratio ◽  
Screening Tools ◽  
Platelet To Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Time Of Admission

Abstract Context Due to the wide spectrum of clinical illness in coronavirus disease 2019 (COVID-19) patients, it is important to stratify patients into severe and nonsevere categories. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have been evaluated rapidly by a few studies worldwide for its association with severe disease, but practically none have been conducted in the Indian population. This study was undertaken to examine the role of NLR and PLR in predicting severe disease in Indian patients. Objectives The objective was to study the association of NLR and PLR observed at the time of admission with maximum disease severity during hospitalization and to study their role in predicting disease severity. Material and Methods A total of 229 COVID-19 patients were admitted at the center during the study period. After applying inclusion and exclusion criteria, 191 patients were included in the study. The demographic, clinical, and laboratory (complete blood count, NLR, and PLR) data of all patients were obtained at the time of admission. Maximum disease severity of all patients was assessed during hospitalization. Statistical Analysis Chi-square and Mann–Whitney U tests were used to assess statistical significance. Receiver operating characteristic curve (ROC) was plotted for NLR and PLR to estimate the cutoff values and sensitivity and specificity using Youden’s index for predicting severe disease. Logistic regression analysis was used to estimate the odds ratios (OR) and 95% confidence intervals. Results Mean NLR and PLR were significantly higher in severe patients (NLR = 7.41; PLR = 204) compared with nonsevere patients (NLR = 3.30; PLR = 121). ROC analysis showed that NLR, in comparison to PLR, had a higher area under the curve (AUC) of 0.779, with a larger OR of 1.237 and cutoff of 4.1, and showed 69% sensitivity and 78% specificity in predicting severe disease. Cut off for PLR was 115.3, which showed 79% sensitivity and 62% specificity in predicting severe disease. Conclusion NLR and PLR, both showing acceptable AUCs, can be used as screening tools to predict disease severity. However, NLR was a better predictor of disease severity.

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